1 00:00:02,640 --> 00:00:06,800 Speaker 1: On scone limbs as Skrodia. This is the Window Panale 2 00:00:06,800 --> 00:00:10,840 Speaker 1: Show on. 3 00:00:10,920 --> 00:00:15,120 Speaker 2: Scone lids as Scrodio. This is the Winger Panale Show. 4 00:00:16,960 --> 00:00:19,720 Speaker 3: Good evening and welcome to the Rita Panicky Show. Coming 5 00:00:19,800 --> 00:00:23,120 Speaker 3: up on this historic night where Donald Trump as secured 6 00:00:23,120 --> 00:00:26,400 Speaker 3: our most famous victory against all odds. We have a 7 00:00:26,600 --> 00:00:31,520 Speaker 3: stellar lineup of guests covering this monumental event from every angle. 8 00:00:31,720 --> 00:00:34,519 Speaker 3: Joining me shortly will be a man who is in 9 00:00:34,640 --> 00:00:38,680 Speaker 3: Donald Trump's in a circle, Doctor Sebastian Gorka. Also on 10 00:00:38,720 --> 00:00:42,640 Speaker 3: the program tonight our own James Morrow, Army Horowitz, Josh Hammer, 11 00:00:42,720 --> 00:00:46,080 Speaker 3: and Adam Coleman. And We're not going to miss Left 12 00:00:46,200 --> 00:00:48,320 Speaker 3: is losing it Burne. 13 00:00:51,120 --> 00:00:53,360 Speaker 4: I mean not to be, you know, happy, but I'm 14 00:00:54,200 --> 00:00:55,280 Speaker 4: I'm optimistic. 15 00:00:57,240 --> 00:00:57,440 Speaker 2: Now. 16 00:00:57,520 --> 00:01:02,880 Speaker 3: This is a most astonishing victory there, the greatest triumph 17 00:01:03,080 --> 00:01:06,080 Speaker 3: in modern political history. And I'll tell you why Donald 18 00:01:06,160 --> 00:01:11,800 Speaker 3: Trump risked everything to run again. They came for his family, 19 00:01:11,920 --> 00:01:15,320 Speaker 3: they came for his allies. They used law fair to 20 00:01:15,720 --> 00:01:19,320 Speaker 3: try and bankrupt him, to try to imprison him on 21 00:01:19,400 --> 00:01:24,640 Speaker 3: sham charges. They outspent him by a huge margin, and 22 00:01:24,680 --> 00:01:28,200 Speaker 3: he had the overwhelming majority of the media against him. 23 00:01:28,600 --> 00:01:34,800 Speaker 3: Relentlessly running negative stories deliberately misrepresenting him. He was called 24 00:01:34,840 --> 00:01:39,280 Speaker 3: a threat to democracy, a fascist, a modern day Hitler, 25 00:01:39,440 --> 00:01:44,479 Speaker 3: wanna be dictator and worse. And he withstood it all 26 00:01:44,959 --> 00:01:50,520 Speaker 3: to win and win big. And where is Kamala Harris tonight? 27 00:01:50,800 --> 00:01:54,800 Speaker 3: Why hasn't she conceded? Why didn't she call President Trump 28 00:01:54,840 --> 00:01:58,800 Speaker 3: to concede defeat before he gave his victory speech. That's 29 00:01:58,800 --> 00:02:04,320 Speaker 3: what's expected. Is she engaging in election denial? It's clear 30 00:02:04,360 --> 00:02:07,680 Speaker 3: now that the GOP, the Grand Ole Party, is Donald 31 00:02:07,800 --> 00:02:12,480 Speaker 3: Trump's party. The Rhinos are gone, the Republican in name 32 00:02:13,320 --> 00:02:17,000 Speaker 3: only are dead and buried. And right now Trump is 33 00:02:17,080 --> 00:02:21,960 Speaker 3: poised for a clean sweep the presidency, the Senate, and 34 00:02:22,000 --> 00:02:25,119 Speaker 3: he might even win the House and the popular vote. 35 00:02:25,639 --> 00:02:29,640 Speaker 3: Joining me now from North Carolina is Sky his host, 36 00:02:29,919 --> 00:02:37,200 Speaker 3: James Morrow. James. Kamala still hasn't spoken, hasn't formally admitted defeat. 37 00:02:37,600 --> 00:02:40,320 Speaker 3: When can we expect to hear from the Vice president? 38 00:02:40,480 --> 00:02:45,760 Speaker 3: Surely she's still not clinging to some hope of fortifying 39 00:02:45,800 --> 00:02:46,440 Speaker 3: this election. 40 00:02:49,040 --> 00:02:52,480 Speaker 5: Well, Rita, I mean, this was just a shocking performance 41 00:02:52,600 --> 00:02:56,160 Speaker 5: by the Vice President this evening. I mean, truly, she 42 00:02:56,360 --> 00:03:00,040 Speaker 5: was like school on Sunday, no class for her to 43 00:03:00,080 --> 00:03:03,639 Speaker 5: keep everybody out there waiting till twelve forty five and 44 00:03:03,680 --> 00:03:07,440 Speaker 5: then send some flunky out to say, oh, go home, 45 00:03:07,639 --> 00:03:10,799 Speaker 5: she's not talking tonight now, the subtext of that being, 46 00:03:10,840 --> 00:03:12,919 Speaker 5: of course, you know, she's probably in a hotel suite 47 00:03:12,960 --> 00:03:16,000 Speaker 5: somewhere nursing herself with a bottle of sutter Home wine 48 00:03:16,000 --> 00:03:17,919 Speaker 5: and a bag of Dorito's until she can get over 49 00:03:17,960 --> 00:03:21,120 Speaker 5: the pain of this whole thing. We have heard that 50 00:03:21,240 --> 00:03:24,000 Speaker 5: she might come out and say something today, that's what 51 00:03:24,040 --> 00:03:27,240 Speaker 5: they said should be out today. But this all strikes 52 00:03:27,240 --> 00:03:30,920 Speaker 5: me as a real example of, you know, potentially denying 53 00:03:31,080 --> 00:03:34,280 Speaker 5: democracy and questioning an election, which is something that I 54 00:03:34,320 --> 00:03:36,240 Speaker 5: thought we weren't supposed to do. But of course we're 55 00:03:36,240 --> 00:03:40,480 Speaker 5: talking about Democrats here, so maybe that's okay. The thing is, 56 00:03:40,600 --> 00:03:43,280 Speaker 5: there's no way for her to say, as you say, 57 00:03:43,520 --> 00:03:46,120 Speaker 5: four to five this election. You know, there's no last 58 00:03:46,160 --> 00:03:48,760 Speaker 5: minute ballot drop that can save her. The numbers are 59 00:03:48,760 --> 00:03:51,560 Speaker 5: simply too big for them to get over any sort 60 00:03:51,560 --> 00:03:54,320 Speaker 5: of gap with that sort of thing. And as such, 61 00:03:54,360 --> 00:03:57,640 Speaker 5: you know CNN, just a couple of hours ago, CNN, 62 00:03:57,680 --> 00:04:00,320 Speaker 5: which is basically the opposition media here to Trump, they 63 00:04:00,400 --> 00:04:03,520 Speaker 5: have called it for Donald Trump. They have surrendered. So 64 00:04:03,560 --> 00:04:06,880 Speaker 5: there's no way through, there's no path if she doesn't 65 00:04:06,960 --> 00:04:12,400 Speaker 5: this morning, I think Cole publicly Donald Trump graciously concede 66 00:04:12,480 --> 00:04:16,360 Speaker 5: and publicly address her followers. I think, you know, this 67 00:04:16,440 --> 00:04:21,120 Speaker 5: will condemn her legacy, whatever legacy she had as just 68 00:04:21,240 --> 00:04:24,280 Speaker 5: you know, ending out of this complete fizzle. But also 69 00:04:24,440 --> 00:04:27,080 Speaker 5: I think it will be you know, really an indicator 70 00:04:27,120 --> 00:04:29,520 Speaker 5: that the Democrats are going to go down this darker 71 00:04:29,640 --> 00:04:32,760 Speaker 5: road which I've spoken about before, where they start to 72 00:04:32,800 --> 00:04:35,120 Speaker 5: look for and this is what I'm really concerned about, reader, 73 00:04:35,120 --> 00:04:38,520 Speaker 5: where they start to look for legal ways I using 74 00:04:38,560 --> 00:04:42,080 Speaker 5: the legal system to challenge the vote here there you 75 00:04:42,120 --> 00:04:45,480 Speaker 5: look at what people like Congressman Jamie Raskin have said 76 00:04:45,839 --> 00:04:48,560 Speaker 5: about this and how you know they want to have, 77 00:04:48,960 --> 00:04:53,760 Speaker 5: you know, essentially civil uprisings against Trump and attempting to 78 00:04:54,200 --> 00:04:57,440 Speaker 5: not certify the election. And of course, Kamala Harris as 79 00:04:57,480 --> 00:04:59,360 Speaker 5: President of the Senate, she has a big role to 80 00:04:59,400 --> 00:05:02,159 Speaker 5: play in that. So we are getting potentially in some 81 00:05:02,200 --> 00:05:03,560 Speaker 5: pretty daisy waters. 82 00:05:05,680 --> 00:05:09,960 Speaker 3: Doing precisely what they were accusing Donald Trump of doing. 83 00:05:10,279 --> 00:05:14,120 Speaker 3: It was pure projection the whole time, and we suspected 84 00:05:14,160 --> 00:05:18,600 Speaker 3: that now President Donald Trump did speak, he thanked his family, 85 00:05:18,760 --> 00:05:22,239 Speaker 3: his team, his supporters, and he had a few words 86 00:05:22,279 --> 00:05:24,960 Speaker 3: for his VP pick, jd Vance. 87 00:05:26,040 --> 00:05:31,080 Speaker 6: I want to be the first to congratulate our great 88 00:05:31,200 --> 00:05:33,960 Speaker 6: now I can say Vice President elect. 89 00:05:33,600 --> 00:05:35,520 Speaker 2: Of the United States Jobie wall. 90 00:05:50,040 --> 00:05:54,440 Speaker 6: And is absolutely remarkable and beautiful wife Buschavez. 91 00:05:58,960 --> 00:05:59,880 Speaker 7: And he's a face. 92 00:06:01,920 --> 00:06:05,640 Speaker 6: You know, I've said, go into the enemy camp, and 93 00:06:05,680 --> 00:06:10,080 Speaker 6: you know the enemy camp is certain networks, and a 94 00:06:10,080 --> 00:06:12,080 Speaker 6: lot of people don't like to Sure, do I have 95 00:06:12,200 --> 00:06:17,120 Speaker 6: to do that? He just goes, Okay, which one CNN, MSDNC, 96 00:06:17,880 --> 00:06:21,240 Speaker 6: He'll say, all right, thank you very much. He actually 97 00:06:21,279 --> 00:06:23,560 Speaker 6: looks He's like the only guy I've ever said he 98 00:06:23,640 --> 00:06:25,440 Speaker 6: really looks forward to it. And then he just goes 99 00:06:25,520 --> 00:06:27,479 Speaker 6: in an absolutely obliterate step. 100 00:06:31,400 --> 00:06:37,200 Speaker 3: James jd Vance was a controversial choice, but he paid off. 101 00:06:37,279 --> 00:06:42,080 Speaker 3: The more you saw the guy, the more you liked him. 102 00:06:42,400 --> 00:06:44,720 Speaker 5: Oh yeah, that's the thing. And I mean, every single 103 00:06:45,080 --> 00:06:48,120 Speaker 5: Republican vice presidential nominee I have ever seen in my 104 00:06:48,320 --> 00:06:53,240 Speaker 5: entire lifetime of watching these campaigns always gets destroyed by 105 00:06:53,279 --> 00:06:55,600 Speaker 5: the media. You can take you know, anybody, and they 106 00:06:55,640 --> 00:06:57,640 Speaker 5: will just figure a way to try and destroy them. 107 00:06:57,680 --> 00:06:59,599 Speaker 5: I was on record though, from the start of saying 108 00:07:00,240 --> 00:07:02,040 Speaker 5: fans was a great pick, and he really turned out 109 00:07:02,040 --> 00:07:03,960 Speaker 5: to be. And I mean two things you'd have to say. 110 00:07:03,960 --> 00:07:07,359 Speaker 5: I mean, number one, that phenomenal debate he had with 111 00:07:07,520 --> 00:07:10,760 Speaker 5: Tim Waltz, where Tim Watz looked like Elmer Fudd, you know, 112 00:07:10,920 --> 00:07:13,080 Speaker 5: and didn't know what was going on, and Jdvaans just 113 00:07:13,120 --> 00:07:15,360 Speaker 5: gave that sort of knowing look to the camera, you know, 114 00:07:15,440 --> 00:07:17,720 Speaker 5: and everybody sort of loved that. But then also what 115 00:07:17,760 --> 00:07:20,280 Speaker 5: Trump was talking about there, the way that he would 116 00:07:20,360 --> 00:07:22,800 Speaker 5: go into those interviews and I couldn't believe that he 117 00:07:22,840 --> 00:07:25,040 Speaker 5: kept getting invited on after a little while, the way 118 00:07:25,080 --> 00:07:30,560 Speaker 5: that he would just forensically demolish these interviewers and just 119 00:07:30,600 --> 00:07:32,880 Speaker 5: show them up for complete idiots. And I think those 120 00:07:32,920 --> 00:07:35,360 Speaker 5: performances really went viral on the Internet and a lot 121 00:07:35,360 --> 00:07:37,200 Speaker 5: of people said, gosh, this guy's really had a brain 122 00:07:37,240 --> 00:07:40,440 Speaker 5: on them. 123 00:07:41,560 --> 00:07:46,080 Speaker 3: You are absolutely right, and Tim Walls was a terrible pick. 124 00:07:47,160 --> 00:07:50,240 Speaker 3: I can't believe Kamala Harris picked someone who's even more 125 00:07:50,520 --> 00:07:54,240 Speaker 3: radically left than she's when she had other options, she 126 00:07:54,360 --> 00:07:58,400 Speaker 3: had much better options, and she ignored them and went 127 00:07:58,520 --> 00:08:01,840 Speaker 3: for Walls, who was frankly just a little bit too 128 00:08:01,880 --> 00:08:06,240 Speaker 3: weird for the American voting public. James Morrow, thank you 129 00:08:06,280 --> 00:08:09,120 Speaker 3: so much for your time this evening, do appreciate it. 130 00:08:09,640 --> 00:08:14,400 Speaker 3: Joining me now is doctor Sebastian Gorka, former chief strategist 131 00:08:14,520 --> 00:08:18,440 Speaker 3: for the Trump administration. Doctor Gorga, you were with President 132 00:08:18,480 --> 00:08:23,840 Speaker 3: Trump today? Was he confident throughout the day? And when 133 00:08:23,920 --> 00:08:27,120 Speaker 3: did he know he had secured the presidency? 134 00:08:27,160 --> 00:08:31,920 Speaker 1: Again, Well, I've heard from my friends, reader that he 135 00:08:32,000 --> 00:08:34,320 Speaker 1: wasn't in the best of moods earlier in the evening, 136 00:08:34,960 --> 00:08:38,319 Speaker 1: and then he came down to the ballroom at Mari 137 00:08:38,440 --> 00:08:44,679 Speaker 1: Lango maybe about nine thirty, sat down with Dana White 138 00:08:44,720 --> 00:08:47,560 Speaker 1: of UFC fame Elon Musk. 139 00:08:47,760 --> 00:08:53,040 Speaker 2: By that time he was smiling. I chatted with him. 140 00:08:53,120 --> 00:08:55,040 Speaker 2: He asked me how I thought it was going. 141 00:08:55,120 --> 00:08:58,160 Speaker 1: I said, the trend lines are all in your favor. 142 00:08:58,840 --> 00:09:02,000 Speaker 1: Not long after that, he got into his armored limousine 143 00:09:02,120 --> 00:09:05,959 Speaker 1: in the convoy off the convention Center where thousands and 144 00:09:06,040 --> 00:09:10,160 Speaker 1: thousands of patriots had been waiting for hours. And then 145 00:09:11,160 --> 00:09:15,960 Speaker 1: when Fox News called the two seven seven Electoral College, 146 00:09:16,679 --> 00:09:20,600 Speaker 1: the whole building shook, and about twenty minutes later he 147 00:09:20,679 --> 00:09:23,640 Speaker 1: came out with his entourage with the beautiful Milania as 148 00:09:23,640 --> 00:09:27,200 Speaker 1: he showed with JD with Dana with Eric Trout with 149 00:09:27,280 --> 00:09:31,559 Speaker 1: Lara Trump and gave that beautiful consent, that beautiful victory speech. 150 00:09:31,640 --> 00:09:36,080 Speaker 1: So now we're just waiting for Kamala the great election denier, 151 00:09:36,440 --> 00:09:37,400 Speaker 1: to admit defeat. 152 00:09:39,760 --> 00:09:43,200 Speaker 3: Well, this is extraordiny. We're just talking about where is 153 00:09:43,360 --> 00:09:47,800 Speaker 3: Kamala Harris? How does she not can say defeat? What 154 00:09:47,960 --> 00:09:50,560 Speaker 3: is she hoping for? She's hoping for some sort of 155 00:09:50,559 --> 00:09:51,200 Speaker 3: a miracle. 156 00:09:53,200 --> 00:09:55,640 Speaker 1: Well, look, this is what the mainstream media to have 157 00:09:55,720 --> 00:09:59,120 Speaker 1: told us that of course it's in the bag because 158 00:09:59,120 --> 00:10:01,320 Speaker 1: she's a Dee Hires black. 159 00:10:01,120 --> 00:10:04,000 Speaker 2: And a woman. Of course Americans will choose her. 160 00:10:04,240 --> 00:10:07,920 Speaker 1: I guess the majority of Americans are Nazis who want 161 00:10:07,920 --> 00:10:10,120 Speaker 1: a dictator as the command rechief. 162 00:10:10,200 --> 00:10:12,760 Speaker 2: So they have to come up with some kind of excuse. 163 00:10:12,800 --> 00:10:15,400 Speaker 1: They have to say, either the nation is full of 164 00:10:15,400 --> 00:10:19,679 Speaker 1: white supremacists, or they're going to have to say nobody 165 00:10:19,760 --> 00:10:24,319 Speaker 1: wants the Democrats to run the country after four years 166 00:10:24,720 --> 00:10:29,440 Speaker 1: of destruction of our borders, of our economy, the total 167 00:10:29,559 --> 00:10:34,480 Speaker 1: global nightmare that is war in the Middle East, war 168 00:10:34,520 --> 00:10:38,160 Speaker 1: in Europe. So they're speech writers right now, let's just 169 00:10:38,200 --> 00:10:41,760 Speaker 1: say this, are probably having a bit of a hard night. 170 00:10:44,400 --> 00:10:50,000 Speaker 3: Yes, Now, this was a most famous victory for President Trump, 171 00:10:50,040 --> 00:10:56,040 Speaker 3: he faced a vicious lawfare campaign that targeted him, his allies, 172 00:10:56,120 --> 00:11:01,800 Speaker 3: his family, his businesses. Question has to be asked, will 173 00:11:01,840 --> 00:11:06,080 Speaker 3: he be seeking retribution for the way the Democrats and 174 00:11:06,120 --> 00:11:08,679 Speaker 3: the bureaucracy have traded him. 175 00:11:10,120 --> 00:11:13,600 Speaker 1: I don't think retribution is the right word. What we 176 00:11:13,679 --> 00:11:17,800 Speaker 1: need to have is justice. This man has faced down 177 00:11:17,800 --> 00:11:22,160 Speaker 1: an assassin's bullet because of the violent rhetoric of the Democrats. 178 00:11:22,320 --> 00:11:25,400 Speaker 1: He's facing seven hundred years in prison on trumped Up's 179 00:11:25,480 --> 00:11:29,560 Speaker 1: furious charges. The people who've weaponized the judicial system have 180 00:11:29,640 --> 00:11:31,760 Speaker 1: to be stood in the dock in front of an 181 00:11:31,800 --> 00:11:34,440 Speaker 1: impartial judge and a jury of their peers and pay 182 00:11:34,840 --> 00:11:39,440 Speaker 1: a price for weaponizing Lady justice. And it's not about him, 183 00:11:39,600 --> 00:11:42,280 Speaker 1: Remember reader, he said, again and again and again, It's 184 00:11:42,320 --> 00:11:45,960 Speaker 1: not about me. It's about you. I'm just in the way. Recently, 185 00:11:46,000 --> 00:11:49,200 Speaker 1: I had a man on my show whose beautiful black 186 00:11:49,240 --> 00:11:53,400 Speaker 1: wife has just been served a thirty five month prison 187 00:11:53,520 --> 00:11:57,560 Speaker 1: sentence because she stood stood outside. 188 00:11:57,080 --> 00:11:58,920 Speaker 2: An abortion clinic in New York. 189 00:11:59,040 --> 00:12:02,280 Speaker 1: Her young daughter is now without a mother for the 190 00:12:02,320 --> 00:12:06,640 Speaker 1: next three years. A seventy two year old grandmother was 191 00:12:06,640 --> 00:12:11,800 Speaker 1: given a custodial sentence for praying inside Congress on January sixth. 192 00:12:12,000 --> 00:12:15,200 Speaker 1: We need justice for the j sixes, we need justice 193 00:12:15,200 --> 00:12:16,240 Speaker 1: for the pro lifers. 194 00:12:16,440 --> 00:12:19,400 Speaker 2: We need to have faith in the judicial system in America. 195 00:12:21,600 --> 00:12:25,360 Speaker 3: Well, you do have this two tier justice system, and 196 00:12:25,640 --> 00:12:28,680 Speaker 3: he can say why I trust in those institutions. He 197 00:12:28,800 --> 00:12:34,680 Speaker 3: has plummeted this victory. We've talked about the law for 198 00:12:34,920 --> 00:12:38,120 Speaker 3: against President Trump, and he had the bulk of the 199 00:12:38,520 --> 00:12:43,559 Speaker 3: media against him and just about every celebrity from Beyond 200 00:12:43,640 --> 00:12:47,960 Speaker 3: Say to Taylor Swift, Eminem and Bruce Springsteen. Do you 201 00:12:48,000 --> 00:12:51,120 Speaker 3: think all those celebrity endorsements in the end hurt the 202 00:12:51,160 --> 00:12:53,000 Speaker 3: Democrats more than help them. 203 00:12:54,600 --> 00:12:57,240 Speaker 1: Well, all I know is that I am putting out 204 00:12:58,120 --> 00:13:01,240 Speaker 1: a go fund me account that we can buy them 205 00:13:01,320 --> 00:13:05,320 Speaker 1: all economy tickets to Somalia, because I think they told 206 00:13:05,360 --> 00:13:07,680 Speaker 1: us the last time he won that they would leave 207 00:13:07,760 --> 00:13:12,360 Speaker 1: the country. So beyoncey, I'll buy your ticket. Okay, you 208 00:13:12,400 --> 00:13:14,520 Speaker 1: can choose Venezuela or Somalia. 209 00:13:15,160 --> 00:13:15,240 Speaker 4: No. 210 00:13:15,440 --> 00:13:20,000 Speaker 1: Look, what they did was catastrophic. We have the elite 211 00:13:20,640 --> 00:13:24,199 Speaker 1: talking to the elite about voting for the elite. Let 212 00:13:24,200 --> 00:13:26,040 Speaker 1: me give you one metric. This is what I've been 213 00:13:26,040 --> 00:13:28,520 Speaker 1: doing on my national radio show to get the mean 214 00:13:28,559 --> 00:13:31,280 Speaker 1: tweets to get the twenty million illegals. When we were 215 00:13:31,320 --> 00:13:34,599 Speaker 1: in the White House, the average mortgage payment in America 216 00:13:35,000 --> 00:13:39,280 Speaker 1: was eight hundred dollars under Harris Biden. It has mushroom 217 00:13:39,360 --> 00:13:41,559 Speaker 1: to seventeen hundred dollars. 218 00:13:41,960 --> 00:13:42,719 Speaker 2: And then you. 219 00:13:42,720 --> 00:13:46,360 Speaker 1: Think Beyonce is going to help you with your mortgage payments. 220 00:13:46,640 --> 00:13:49,000 Speaker 1: This is how out of touch they are, and this 221 00:13:49,160 --> 00:13:50,920 Speaker 1: is why they had to be trounced. 222 00:13:51,640 --> 00:14:00,400 Speaker 3: Yes, absolutely that some of those celebrity endorsements. Really they 223 00:14:00,400 --> 00:14:04,720 Speaker 3: did more harm than good. Now, doctor Gorka, the Polster's 224 00:14:04,800 --> 00:14:08,960 Speaker 3: got this so wrong again. I don't know how this 225 00:14:09,160 --> 00:14:13,559 Speaker 3: keeps happening. We had some polling out twenty four hours 226 00:14:13,640 --> 00:14:18,160 Speaker 3: ago the top ten poles, and eight of them predicted 227 00:14:18,200 --> 00:14:22,200 Speaker 3: a Kamala Harris victory, and all of them were so close. 228 00:14:22,240 --> 00:14:25,240 Speaker 3: And in the end it's not going to be that close. 229 00:14:25,320 --> 00:14:30,360 Speaker 3: How the polsters still not getting the Trump phenomenon, How 230 00:14:30,520 --> 00:14:34,040 Speaker 3: they still not measuring his support accurately? 231 00:14:35,760 --> 00:14:37,600 Speaker 1: Well, because they all live in a bubble like the 232 00:14:37,640 --> 00:14:42,120 Speaker 1: Democrat politicians do. I mean they always always over sample 233 00:14:42,200 --> 00:14:48,440 Speaker 1: Rita white respondents with college degrees. I'm sorry, not everybody 234 00:14:48,480 --> 00:14:52,560 Speaker 1: in America is a white college graduate with a master's degree, 235 00:14:52,600 --> 00:14:55,960 Speaker 1: and you know climate change. Not only that, the big 236 00:14:56,040 --> 00:14:59,840 Speaker 1: siena New York Times poll that had Kamala winning last week. 237 00:15:00,400 --> 00:15:08,320 Speaker 2: You look at the footnotes and conducted with eight hundred responders. 238 00:15:08,640 --> 00:15:11,480 Speaker 2: There's three hundred and thirty million people in this country. 239 00:15:11,760 --> 00:15:13,880 Speaker 2: You know a high school poll should have more than 240 00:15:13,920 --> 00:15:15,080 Speaker 2: eight hundred people in it. 241 00:15:15,280 --> 00:15:17,480 Speaker 1: If I put a pole on my Twitter account, I 242 00:15:17,560 --> 00:15:20,880 Speaker 1: will get two hundred and fifty thousand respondents in less 243 00:15:20,920 --> 00:15:24,400 Speaker 1: than an hour. These people are amateurs and they're always 244 00:15:24,480 --> 00:15:25,960 Speaker 1: talking to themselves. 245 00:15:26,400 --> 00:15:28,800 Speaker 2: That's why they thought Kamala was going to win. 246 00:15:31,320 --> 00:15:35,000 Speaker 3: Now, Donald Trump maybe looking at a clean sweep here 247 00:15:35,320 --> 00:15:39,240 Speaker 3: the presidency, the Senate. He may also win the House 248 00:15:39,360 --> 00:15:43,800 Speaker 3: and the popular vote. You will have a clear mandate 249 00:15:44,120 --> 00:15:48,960 Speaker 3: to do to implement his policies. What do you see 250 00:15:49,000 --> 00:15:53,840 Speaker 3: as the priorities? Is it the border? Is it inflation? Crime? 251 00:15:54,160 --> 00:15:57,880 Speaker 3: What is going to be the number one focus? 252 00:15:58,040 --> 00:15:58,640 Speaker 2: The border? 253 00:15:58,680 --> 00:16:02,280 Speaker 1: Where we cannot survive with having open borders. We've led 254 00:16:02,320 --> 00:16:06,400 Speaker 1: in Kalamala. The borders has led in twenty million illegals 255 00:16:06,800 --> 00:16:10,280 Speaker 1: in just the last four years. So day one, steal 256 00:16:10,400 --> 00:16:13,240 Speaker 1: the border, which is the prerocative of the executive. The 257 00:16:13,240 --> 00:16:16,360 Speaker 1: president can do that instantaneously as soon as he is 258 00:16:16,440 --> 00:16:19,560 Speaker 1: sworn in on Chiny the twenties. Secondly, and this will 259 00:16:19,600 --> 00:16:22,400 Speaker 1: be happening now as president elect. We were very busy 260 00:16:22,440 --> 00:16:26,480 Speaker 1: with the president back in twenty sixteen when he won 261 00:16:26,520 --> 00:16:30,840 Speaker 1: the election. He will start his behind the scenes negotiations. 262 00:16:31,320 --> 00:16:32,720 Speaker 2: He's going to be talking. 263 00:16:32,400 --> 00:16:35,920 Speaker 1: To Kiev, to Moscow because he wants the bloodshed to 264 00:16:36,280 --> 00:16:39,880 Speaker 1: end in Ukraine, and he's going to force Zalinski and 265 00:16:39,920 --> 00:16:43,880 Speaker 1: Putin to start negotiating so the bloodshed stops. And on 266 00:16:43,880 --> 00:16:46,160 Speaker 1: the flip side, he's going to tell Bibby must be 267 00:16:46,280 --> 00:16:49,120 Speaker 1: very happy tonight. He's going to tell Bibby, you go 268 00:16:49,200 --> 00:16:51,440 Speaker 1: and kill all the ji haddies you want to. So 269 00:16:51,480 --> 00:16:53,120 Speaker 1: he's going to be on He's going to be on 270 00:16:53,160 --> 00:16:54,600 Speaker 1: the blower tonight to Bibby. 271 00:16:57,200 --> 00:17:00,840 Speaker 3: Now, before you go, one final question, how do you 272 00:17:00,880 --> 00:17:05,440 Speaker 3: think President Joe Biden is feeling tonight? Is he quietly 273 00:17:05,760 --> 00:17:12,880 Speaker 3: pleased or is he mourning along with Kamala Harris? 274 00:17:12,920 --> 00:17:19,160 Speaker 1: Well, look, I can't channel seeing our old men who 275 00:17:19,200 --> 00:17:24,240 Speaker 1: are hair sniffings hair sniffing perverts, so I can't really 276 00:17:24,400 --> 00:17:24,640 Speaker 1: you know. 277 00:17:24,920 --> 00:17:26,600 Speaker 2: Imitate him or channel him. 278 00:17:27,040 --> 00:17:31,320 Speaker 1: But look, I mean that lip reader in the church 279 00:17:31,400 --> 00:17:35,679 Speaker 1: at the Kennedy funeral. What is Biden alleged to have 280 00:17:35,800 --> 00:17:40,640 Speaker 1: said to Obama a few days ago, I'm stronger than her. 281 00:17:40,960 --> 00:17:46,359 Speaker 2: I could have bom Well, Joe is. 282 00:17:46,680 --> 00:17:50,439 Speaker 1: Maybe we'll never know because President Trump's going to be 283 00:17:50,520 --> 00:17:54,040 Speaker 1: sworn in, But I think Joe's saying I told you so. 284 00:17:57,119 --> 00:18:01,080 Speaker 3: I do wonder how he voted. I guess will never know. 285 00:18:01,200 --> 00:18:03,640 Speaker 3: Doctor Sebastian Gorka, thank you so much for your. 286 00:18:05,359 --> 00:18:09,160 Speaker 2: See what Jill did reader, You saw that Jill, she. 287 00:18:09,119 --> 00:18:14,879 Speaker 3: Was wearing red, she was wearing and we saw Joe 288 00:18:14,880 --> 00:18:18,040 Speaker 3: Biden put on that maga hat. Remember that that wasn't 289 00:18:18,040 --> 00:18:23,800 Speaker 3: too long ago. So crazier things have happened. And he 290 00:18:23,920 --> 00:18:27,240 Speaker 3: still won't talk to Nancy Pelosi either. He hasn't forgiven her, 291 00:18:28,200 --> 00:18:30,640 Speaker 3: Doctor Gorka, thank you so much for your time. Now 292 00:18:30,960 --> 00:18:36,119 Speaker 3: joining me is a filmmaker and journalist, Army Horowitz. Army, 293 00:18:36,960 --> 00:18:40,679 Speaker 3: you're a London who called this election weeks ago. You 294 00:18:40,720 --> 00:18:43,040 Speaker 3: said Trump's going to win, is going to win comfortably. 295 00:18:43,200 --> 00:18:46,800 Speaker 3: You got it right. Where did it go so wrong? 296 00:18:46,880 --> 00:18:48,160 Speaker 3: For Kamala Harris? 297 00:18:50,200 --> 00:18:53,600 Speaker 7: You just said it, Kamala Harris, That's where it went wrong. 298 00:18:55,640 --> 00:18:57,680 Speaker 7: I said it also from the beginning, if I can 299 00:18:57,720 --> 00:19:00,600 Speaker 7: take around right and run around and pat myself in 300 00:19:00,600 --> 00:19:02,359 Speaker 7: the back. First of all, I want to really pat 301 00:19:02,440 --> 00:19:06,639 Speaker 7: the real winner tonight. Congratulations Joe Biden. I know that 302 00:19:06,720 --> 00:19:10,159 Speaker 7: he's sitting in his in his in his home, probably sleeping, 303 00:19:10,200 --> 00:19:13,240 Speaker 7: but if he was awake, big old smile on Joe 304 00:19:13,280 --> 00:19:17,199 Speaker 7: Biden's face. Yeah, that's that's the guy who really won 305 00:19:17,280 --> 00:19:20,960 Speaker 7: this thing. Look, it was clear from the beginning that 306 00:19:21,000 --> 00:19:23,280 Speaker 7: they were locked in. I remember we talked about it, like, 307 00:19:23,400 --> 00:19:25,199 Speaker 7: who were they going to choose? Is it going to 308 00:19:25,240 --> 00:19:27,560 Speaker 7: be Kamala? Look, of course it was going to be Kambala. 309 00:19:27,640 --> 00:19:31,880 Speaker 7: There was no choice. DEI did them dirty. They were 310 00:19:31,920 --> 00:19:35,840 Speaker 7: forced into picking a candidate who couldn't even come close 311 00:19:35,880 --> 00:19:38,240 Speaker 7: to winning her own nomination. She had to jump out. 312 00:19:38,640 --> 00:19:40,639 Speaker 7: She's one of the earliest people who jumped out in 313 00:19:40,680 --> 00:19:44,520 Speaker 7: her own race. Of course she was going to lose. 314 00:19:45,000 --> 00:19:47,760 Speaker 7: There was that sugar high because people were looking at 315 00:19:47,800 --> 00:19:50,800 Speaker 7: anybody but Biden, because of the self immolation that took 316 00:19:50,840 --> 00:19:55,040 Speaker 7: place on the debate stage right, his clear deterioration physically 317 00:19:55,080 --> 00:19:59,359 Speaker 7: and mentally. They needed anybody but him, and they chose 318 00:19:59,720 --> 00:20:03,560 Speaker 7: the wrong person. But the in the day, here's the 319 00:20:03,640 --> 00:20:06,480 Speaker 7: lesson that we learn. We can go through all the 320 00:20:06,560 --> 00:20:09,280 Speaker 7: numbers you want and break down younger voters and older 321 00:20:09,320 --> 00:20:11,919 Speaker 7: voters and female voters. You know what, the one lesson 322 00:20:12,040 --> 00:20:17,359 Speaker 7: is you simply can't run against political headwinds. You can't 323 00:20:17,400 --> 00:20:22,160 Speaker 7: run your boat into that mailstrom. And look, was Trump 324 00:20:22,200 --> 00:20:24,440 Speaker 7: a good candidate. I was on this air saying over 325 00:20:24,480 --> 00:20:26,800 Speaker 7: and over again he was a terrible candidate. He ran 326 00:20:26,880 --> 00:20:31,080 Speaker 7: the same exact race from the hip as he did 327 00:20:31,200 --> 00:20:35,159 Speaker 7: in twenty twenty. He lost. The difference was the political 328 00:20:35,240 --> 00:20:38,600 Speaker 7: headwinds in twenty twenty were against Trump. He was just 329 00:20:38,600 --> 00:20:41,480 Speaker 7: coming out of COVID. The economy was suffering. It didn't 330 00:20:41,520 --> 00:20:44,480 Speaker 7: matter that it wasn't his fault. The people felt that 331 00:20:44,560 --> 00:20:47,240 Speaker 7: they had a problem in the country. They needed to change. 332 00:20:47,600 --> 00:20:52,800 Speaker 7: The same goes now. He was running with the headwinds, right, 333 00:20:52,920 --> 00:20:55,000 Speaker 7: And we've said it over and over again in the day. 334 00:20:55,119 --> 00:20:57,480 Speaker 7: What does it come down to. You just look at 335 00:20:57,520 --> 00:21:00,560 Speaker 7: the top issues that people care about. Every sing poll 336 00:21:00,680 --> 00:21:06,080 Speaker 7: showed the same thing, economy, inflation, immigration, that's it. Abortion, 337 00:21:06,119 --> 00:21:10,080 Speaker 7: and that's where he ran large leads. They dwindled towards 338 00:21:10,080 --> 00:21:15,880 Speaker 7: the end, but he still held those leads. Fast abortion, democracy, 339 00:21:15,880 --> 00:21:19,119 Speaker 7: which is what Kamo's running under were four and five. 340 00:21:19,560 --> 00:21:22,160 Speaker 7: People didn't care if they cared, showing that as much 341 00:21:22,160 --> 00:21:25,320 Speaker 7: as those other three, and hope that's why she lost. 342 00:21:25,680 --> 00:21:28,960 Speaker 7: Those were the issues that people cared about. It didn't matter. 343 00:21:29,240 --> 00:21:31,359 Speaker 7: And look, I can even argue I don't want a 344 00:21:31,359 --> 00:21:33,639 Speaker 7: Monday morning quarterback to this thing, or in this case, 345 00:21:34,080 --> 00:21:37,399 Speaker 7: a Wednesday morning quarterback this thing. But look, even at 346 00:21:37,440 --> 00:21:39,600 Speaker 7: the end, I don't I could not understand why Trump 347 00:21:39,680 --> 00:21:41,919 Speaker 7: was focusing on issues like trans issues. I get that 348 00:21:41,960 --> 00:21:44,199 Speaker 7: it mattered to people, but this wasn't one of the 349 00:21:44,200 --> 00:21:49,200 Speaker 7: top issues out there. Immigration, inflation, economy, end of story. 350 00:21:49,280 --> 00:21:52,159 Speaker 7: That's the SNY story, the entire election, full stop. 351 00:21:54,480 --> 00:21:57,520 Speaker 3: Now let's have a quick look at those all important 352 00:21:57,840 --> 00:22:02,920 Speaker 3: swing states and you can say how Trump dominated there. 353 00:22:03,000 --> 00:22:09,400 Speaker 3: He is winning or a head in North Carolina, Georgia, Michigan, Wisconsin, Arizona, 354 00:22:09,440 --> 00:22:15,760 Speaker 3: And when it comes to the Keystone state Pennsylvania, he 355 00:22:17,560 --> 00:22:22,240 Speaker 3: really has a very comfortable margin. Pennsylvania has been called 356 00:22:22,280 --> 00:22:25,480 Speaker 3: for him. But I do wonder, Army whether it would 357 00:22:25,560 --> 00:22:29,600 Speaker 3: be different if Kamala Harris had made a different choice 358 00:22:30,000 --> 00:22:33,000 Speaker 3: when it came time to pick her VP, because she 359 00:22:33,080 --> 00:22:38,960 Speaker 3: could have picked the very popular governor of Pennsylvania, Governor Shapiro, 360 00:22:39,800 --> 00:22:45,640 Speaker 3: she chose not to. Again, we are considering what could 361 00:22:45,680 --> 00:22:50,240 Speaker 3: have been. Was that a fatal error on her behalf? 362 00:22:50,280 --> 00:22:53,000 Speaker 3: And why did she do that? And the conjecture is 363 00:22:53,080 --> 00:22:57,440 Speaker 3: that it's because Shapiro is Jewish, she served in the IDF, 364 00:22:57,600 --> 00:23:00,439 Speaker 3: and she thought that that was going to antagon nis 365 00:23:00,920 --> 00:23:05,679 Speaker 3: segments of the Democrats voter base. And it seems to 366 00:23:05,720 --> 00:23:09,720 Speaker 3: be a fundamental error she made in this campaign. 367 00:23:12,080 --> 00:23:14,159 Speaker 7: Oh yeah, I mean it wasn't just it wasn't just 368 00:23:14,200 --> 00:23:17,000 Speaker 7: about who she didn't pick, josh Din, but also who 369 00:23:17,000 --> 00:23:22,520 Speaker 7: she did pick. Walt's a terrible choice. He leaned into 370 00:23:22,680 --> 00:23:26,320 Speaker 7: all the issues that scared people about Kamala Harris. Was 371 00:23:26,359 --> 00:23:29,280 Speaker 7: she in fact a closet leftist? Was she in fact 372 00:23:29,320 --> 00:23:31,480 Speaker 7: somebody who had you know, socialist tendencies? 373 00:23:31,840 --> 00:23:32,000 Speaker 2: Uh? 374 00:23:32,000 --> 00:23:35,480 Speaker 7: These are all things that Walt said pretty publicly, and 375 00:23:35,520 --> 00:23:38,960 Speaker 7: his record showed it too. Uh yeah, John, Look you 376 00:23:39,000 --> 00:23:41,560 Speaker 7: know this morning. You know, I obviously I've said before 377 00:23:41,640 --> 00:23:44,520 Speaker 7: Josh Dyin was a fatal error. Was it enough to 378 00:23:44,600 --> 00:23:48,080 Speaker 7: change the dynamics of the election. Probably not. I think 379 00:23:48,080 --> 00:23:51,159 Speaker 7: he's winning in a larger way than we thought. I 380 00:23:51,200 --> 00:23:53,800 Speaker 7: think this is Look, this is all victories in the market. 381 00:23:54,080 --> 00:23:56,200 Speaker 7: These things are played on the margins, and certainly he 382 00:23:56,240 --> 00:23:58,880 Speaker 7: would have played her favorite in the margins. I think 383 00:23:58,880 --> 00:24:01,840 Speaker 7: with Pennsylvania in particular, I think it certainly would have 384 00:24:01,840 --> 00:24:03,919 Speaker 7: been closer than it was, and maybe he would have one. Look, 385 00:24:03,920 --> 00:24:06,840 Speaker 7: he's the most popular figure in Pennsylvania, most popular than 386 00:24:06,640 --> 00:24:09,399 Speaker 7: than than Harris, more proper than Trump, more propul than 387 00:24:09,480 --> 00:24:13,920 Speaker 7: his than than the senators there. He is what Democrats. 388 00:24:14,119 --> 00:24:17,679 Speaker 7: The Democrats need to move towards right. They have two 389 00:24:17,800 --> 00:24:21,040 Speaker 7: choices now. They're at a crossroads. They could either double 390 00:24:21,160 --> 00:24:25,119 Speaker 7: down and say we weren't left enough right. This is 391 00:24:25,119 --> 00:24:28,359 Speaker 7: why we lost. We didn't move into our core values 392 00:24:28,480 --> 00:24:32,080 Speaker 7: and our newer core values, which is not Nancy Pelosi 393 00:24:32,280 --> 00:24:35,840 Speaker 7: and Chuck Schumer no longer represent the core value of 394 00:24:35,840 --> 00:24:38,760 Speaker 7: the Democratic Party. That's her shipped to lab that's AOC, 395 00:24:39,280 --> 00:24:42,719 Speaker 7: that's where the party has been moving toward. They're at 396 00:24:42,720 --> 00:24:46,600 Speaker 7: a crossroads. They could either say we need to actually 397 00:24:46,680 --> 00:24:49,480 Speaker 7: double down because people didn't see us as authentic enough. 398 00:24:49,480 --> 00:24:51,719 Speaker 7: They're looking at us and saying, wow. I looked at 399 00:24:51,760 --> 00:24:53,399 Speaker 7: Kamala Harrison and she's at the end of the she 400 00:24:53,640 --> 00:24:55,560 Speaker 7: she was wishing washing all these issues. Right at the 401 00:24:55,640 --> 00:24:57,600 Speaker 7: end of the day, she was saying, Wow, no, I 402 00:24:57,640 --> 00:25:01,200 Speaker 7: stood against cracking, which is so important Pennsylvania. But then 403 00:25:01,200 --> 00:25:03,560 Speaker 7: she said, well, no, no, I'm actually four to nine. I'm 404 00:25:03,600 --> 00:25:05,320 Speaker 7: not against them, not for it. Let me figure out 405 00:25:05,359 --> 00:25:07,680 Speaker 7: where she was. And I think there are people that 406 00:25:07,720 --> 00:25:10,119 Speaker 7: are called the left already. You hear them saying early on. 407 00:25:10,440 --> 00:25:13,680 Speaker 7: So yes, we were not. We were not. We didn't 408 00:25:13,680 --> 00:25:17,440 Speaker 7: have fidelity to our important leftist values. Or they can go, 409 00:25:18,280 --> 00:25:20,600 Speaker 7: they can move toward the center, right to a Joshapiro, 410 00:25:21,040 --> 00:25:25,120 Speaker 7: and I think those are elections they can win. We'll 411 00:25:25,119 --> 00:25:27,760 Speaker 7: see what's going to happen. But no, it was. It 412 00:25:27,800 --> 00:25:30,639 Speaker 7: was a massive mistake, and you're seeing the results. 413 00:25:32,000 --> 00:25:34,879 Speaker 3: We are seeing the result, and we're seeing the black 414 00:25:35,000 --> 00:25:38,840 Speaker 3: vote fracture for the Democrats, according to some exit polling 415 00:25:38,880 --> 00:25:43,520 Speaker 3: conducted by NBC. And she also lost much of the 416 00:25:43,760 --> 00:25:47,359 Speaker 3: Latina vote, particularly when he came to Latino men, who 417 00:25:48,240 --> 00:25:52,040 Speaker 3: voted for Biden over Trump fifty nine percent to thirty 418 00:25:52,080 --> 00:25:55,800 Speaker 3: six just four years ago. But this time around, according 419 00:25:55,800 --> 00:25:59,440 Speaker 3: to that NBC data, massive fifty four percent of Latino 420 00:25:59,600 --> 00:26:04,680 Speaker 3: men voted for Trump, with forty four percent backing Harris, 421 00:26:05,880 --> 00:26:08,960 Speaker 3: why do you think this is army is just a 422 00:26:09,000 --> 00:26:11,560 Speaker 3: matter of they care about the same issues that every 423 00:26:11,560 --> 00:26:16,800 Speaker 3: other voter cares about. Or was it particularly the economy 424 00:26:16,840 --> 00:26:19,359 Speaker 3: and the border that was energizing this voter base. 425 00:26:21,000 --> 00:26:26,480 Speaker 7: Yeah, here's a lesson, Democrats. Latinos aren't stupid. Okay, you 426 00:26:26,600 --> 00:26:29,199 Speaker 7: think they are. You treated them like they are. You 427 00:26:29,240 --> 00:26:31,399 Speaker 7: treat them like they're people, same with the black vote. 428 00:26:31,480 --> 00:26:33,800 Speaker 7: You treat them like people who just vote differently than 429 00:26:33,800 --> 00:26:38,720 Speaker 7: everybody else. They're just different people, right, You Democrats and 430 00:26:38,760 --> 00:26:42,359 Speaker 7: the media try to make the Hintcliff joke a pivot 431 00:26:42,400 --> 00:26:46,600 Speaker 7: point in this election, and that speaks so poorly of 432 00:26:46,640 --> 00:26:50,200 Speaker 7: how you view Hispanic voters. Right to say, like, hey, 433 00:26:50,600 --> 00:26:55,000 Speaker 7: some random comedian that nobody really knows got on stage 434 00:26:55,040 --> 00:26:58,080 Speaker 7: and made a dumb joke and they tried to make 435 00:26:58,160 --> 00:27:01,359 Speaker 7: that into something and they really thought it did. Like 436 00:27:01,440 --> 00:27:03,679 Speaker 7: they were really patting themselves on the backs, and we 437 00:27:03,880 --> 00:27:07,119 Speaker 7: may have turned the tide on the Latino vote because 438 00:27:07,119 --> 00:27:09,600 Speaker 7: they're dumb. They don't get it. Right, we can, we 439 00:27:09,640 --> 00:27:12,600 Speaker 7: can manipulate them and to change their mind. We can, 440 00:27:12,720 --> 00:27:15,480 Speaker 7: we can, we can, we can fraud them and move 441 00:27:15,520 --> 00:27:19,359 Speaker 7: them like cattle away from the important issue that everybody 442 00:27:19,400 --> 00:27:23,880 Speaker 7: else cares about, namely immigration, inflation, and the economy. Turns out, 443 00:27:23,960 --> 00:27:27,040 Speaker 7: you can't turns out, they know what they want. They're 444 00:27:27,080 --> 00:27:29,960 Speaker 7: not dumb. You can't take a shiny object and flash 445 00:27:30,040 --> 00:27:32,720 Speaker 7: it in their face and they'll change their minds. Look, 446 00:27:33,160 --> 00:27:37,040 Speaker 7: he is up. He won from twenty twenty twenty twenty four. 447 00:27:37,240 --> 00:27:39,280 Speaker 7: His increased. You gave the raw numbers, but it's a 448 00:27:39,440 --> 00:27:45,000 Speaker 7: forty one percent increase in his percentage vote from twenty 449 00:27:45,080 --> 00:27:48,520 Speaker 7: twenty to twenty twenty four. Think about that. Look ultimately, 450 00:27:48,600 --> 00:27:50,760 Speaker 7: and this is not a new trend. Is the trend 451 00:27:50,800 --> 00:27:52,639 Speaker 7: we've been seeing for a while. This is again, this 452 00:27:52,760 --> 00:27:55,879 Speaker 7: is not Trump was able to win their vote. This 453 00:27:55,960 --> 00:27:57,720 Speaker 7: is this is the political head winds I've been talking 454 00:27:57,760 --> 00:28:02,520 Speaker 7: about and not talking short term head talking long term headwinds. Look, 455 00:28:03,440 --> 00:28:06,240 Speaker 7: this immigration issue, the crisis we have in immigration, border 456 00:28:06,760 --> 00:28:10,080 Speaker 7: is not new. This has been the Democratic playbook for years. 457 00:28:10,440 --> 00:28:13,879 Speaker 7: Let's let in more Latino people in this country. You 458 00:28:13,880 --> 00:28:17,560 Speaker 7: know why, because they vote Democrat. Well, turns out, and 459 00:28:17,600 --> 00:28:19,600 Speaker 7: again I've been saying this for years. Also, this is 460 00:28:19,600 --> 00:28:22,880 Speaker 7: gonna be one of the greatest geopolitical mistakes ever made, 461 00:28:23,080 --> 00:28:27,159 Speaker 7: because yeah, the first time when they come into the border, 462 00:28:27,280 --> 00:28:29,480 Speaker 7: across the border, and they become citizens and they vote, 463 00:28:29,800 --> 00:28:32,359 Speaker 7: they tend to vote Democrat because you know, in their 464 00:28:32,400 --> 00:28:33,960 Speaker 7: short term interest they're looking. 465 00:28:33,760 --> 00:28:37,560 Speaker 3: At and we've got to Army. We've got to also 466 00:28:37,640 --> 00:28:41,320 Speaker 3: distinguish between illegal and legal migrants, which is something the 467 00:28:41,360 --> 00:28:44,920 Speaker 3: Democrats often forget to do as well. Army Horowitz, thank 468 00:28:44,960 --> 00:28:49,040 Speaker 3: you for your time tonight, don't go anywhere. Still to come, 469 00:28:49,080 --> 00:28:52,720 Speaker 3: We're going to have lefties losing it. Plus calls for 470 00:28:52,800 --> 00:28:57,680 Speaker 3: Donald Trump to tackle America's rotten intelligence community. Josh Hammer 471 00:28:57,840 --> 00:29:05,120 Speaker 3: will join you next. Welcome back. Now it's time for 472 00:29:05,320 --> 00:29:09,080 Speaker 3: lefties losing it? And can you believe the Democrats squad 473 00:29:09,120 --> 00:29:12,800 Speaker 3: of a list celebrities wasn't enough to get Kamala over 474 00:29:12,840 --> 00:29:15,800 Speaker 3: the line. How did the American public resist the call 475 00:29:15,880 --> 00:29:19,040 Speaker 3: from these learned souls who are so in touch with 476 00:29:19,080 --> 00:29:23,320 Speaker 3: the average American and whose moral compass is pure and true, 477 00:29:23,360 --> 00:29:26,840 Speaker 3: and who are never prone to crazy delusions. 478 00:29:27,240 --> 00:29:27,920 Speaker 7: It can't be. 479 00:29:28,600 --> 00:29:32,400 Speaker 8: It cannot be. If he is he wins the election, 480 00:29:33,840 --> 00:29:35,440 Speaker 8: you won't be on the show anymore. 481 00:29:35,720 --> 00:29:36,680 Speaker 7: He'll come looking for me. 482 00:29:37,640 --> 00:29:43,640 Speaker 8: There'll be things that happened that none of us can imagine. 483 00:29:45,120 --> 00:29:47,840 Speaker 8: That's what happens in that kind of a dictatorship, which 484 00:29:47,880 --> 00:29:50,320 Speaker 8: is what he says. Let's believe him, take him at 485 00:29:50,360 --> 00:29:50,920 Speaker 8: his word. 486 00:29:51,080 --> 00:29:54,560 Speaker 3: Even Bill Maher's lefty audience couldn't help but laugh at 487 00:29:54,720 --> 00:29:57,280 Speaker 3: Robert de Niro there, and I guess Bill Maher's going 488 00:29:57,360 --> 00:29:59,280 Speaker 3: to lose his show now, isn't here. That's what they 489 00:29:59,320 --> 00:30:02,000 Speaker 3: were talking about out And in recent days we even 490 00:30:02,000 --> 00:30:05,040 Speaker 3: had the Ladies of the View not just back in Kamala, 491 00:30:05,160 --> 00:30:08,480 Speaker 3: but they were picking her attorney general for her, and 492 00:30:08,560 --> 00:30:13,920 Speaker 3: of course they pick the irredeemably awful rhino warhawk Liz Cheney. 493 00:30:14,200 --> 00:30:15,400 Speaker 7: Are you also a lawyer? 494 00:30:15,840 --> 00:30:23,080 Speaker 9: Yeah, so you could conceivably be a great age this. 495 00:30:28,040 --> 00:30:29,120 Speaker 7: And I say this. 496 00:30:29,080 --> 00:30:34,120 Speaker 5: Because your moral core is magnificent. 497 00:30:35,640 --> 00:30:40,000 Speaker 3: Oh isn't that adorable? Whoopee Goldberg lecturing us about morals. 498 00:30:40,040 --> 00:30:43,280 Speaker 3: I've heard it all now, But Kamala had the unique 499 00:30:43,360 --> 00:30:48,680 Speaker 3: ability to make even once cool celebrities lose all credibility. 500 00:30:49,120 --> 00:30:52,960 Speaker 3: She made the Boss Bruce Springsteen sound like this. 501 00:30:53,400 --> 00:30:57,760 Speaker 2: Well, I'm just about stove and the nation. I'm dying 502 00:30:57,960 --> 00:30:58,960 Speaker 2: for some action. 503 00:31:00,320 --> 00:31:04,960 Speaker 3: She turned Cardi Bee into the world's lamest, saddest joke. 504 00:31:05,720 --> 00:31:21,080 Speaker 10: One second, guys, one second, I need patience over here. 505 00:31:23,360 --> 00:31:24,000 Speaker 3: Patience. 506 00:31:24,080 --> 00:31:25,080 Speaker 11: Where are you, girl? 507 00:31:27,240 --> 00:31:29,320 Speaker 10: I need patience over here. 508 00:31:34,520 --> 00:31:38,120 Speaker 3: Yikes, I can't believe I didn't convince the masses. And 509 00:31:38,880 --> 00:31:43,560 Speaker 3: Kamala somehow even managed to turn the once hilariously funny 510 00:31:43,560 --> 00:31:46,720 Speaker 3: Will Ferrell into this cringey mess. 511 00:31:46,920 --> 00:31:49,600 Speaker 7: I'm just one person. No shut the up. 512 00:31:49,640 --> 00:31:49,960 Speaker 3: Gary. 513 00:31:50,760 --> 00:31:53,760 Speaker 12: Last time, only a few thousand votes kept Trump out 514 00:31:53,760 --> 00:31:54,880 Speaker 12: of office, and. 515 00:31:54,840 --> 00:31:59,160 Speaker 13: This time we will hold you personally responsible. 516 00:31:59,600 --> 00:32:00,120 Speaker 11: Gary. 517 00:32:01,280 --> 00:32:02,280 Speaker 7: Don't forget to vote. 518 00:32:02,640 --> 00:32:03,160 Speaker 2: Gary. 519 00:32:03,960 --> 00:32:07,840 Speaker 3: And when the celebrity endorsements weren't working, she had her 520 00:32:07,920 --> 00:32:11,600 Speaker 3: media propercandas use these shameful tactics. 521 00:32:11,920 --> 00:32:14,600 Speaker 9: We've laid out mistakes in this crucial election where one 522 00:32:14,680 --> 00:32:18,440 Speaker 9: side stands for freedom while the other meets the textbook 523 00:32:18,520 --> 00:32:23,200 Speaker 9: definition of fascism, namely a far right dictatorial regime like 524 00:32:23,440 --> 00:32:26,800 Speaker 9: Hitler's Germany or Frankel's Spain or Mussolini's Italy. 525 00:32:27,120 --> 00:32:31,400 Speaker 3: Ah, just crazy stuff. That was MSNBC and ka Joyraid 526 00:32:31,480 --> 00:32:35,680 Speaker 3: and her colleague and fellow Russian conspiracy hoax pedler Rachel 527 00:32:35,800 --> 00:32:40,240 Speaker 3: Maddow was even issuing threats to Elon Musk's business empire. 528 00:32:40,440 --> 00:32:43,040 Speaker 13: The Defense Department and NASA are going to need a 529 00:32:43,080 --> 00:32:47,080 Speaker 13: new arrangement for all their rockets and for all the 530 00:32:47,200 --> 00:32:51,040 Speaker 13: multi billion dollar contracts Elon Musk's companies have with the 531 00:32:51,160 --> 00:32:54,320 Speaker 13: US government, the US government is going to have to 532 00:32:54,360 --> 00:32:59,040 Speaker 13: either i mean unwind from all of those contracts, or 533 00:32:59,080 --> 00:33:03,480 Speaker 13: Elon Musk's companies are going to have to undwind from him. 534 00:33:03,880 --> 00:33:10,200 Speaker 13: This is an untenable reality in national security terms. Now 535 00:33:10,240 --> 00:33:12,800 Speaker 13: that we know what we know about Elon. 536 00:33:12,560 --> 00:33:17,200 Speaker 3: Musk, that sounds a little fascisty to me. Today, joy 537 00:33:17,280 --> 00:33:21,480 Speaker 3: Reid was still delusional and claiming that Kamala had run 538 00:33:21,560 --> 00:33:23,200 Speaker 3: the perfect campaign. 539 00:33:23,520 --> 00:33:25,960 Speaker 9: And so what you've seen in the last couple of weeks, 540 00:33:25,960 --> 00:33:29,200 Speaker 9: if this is an audition from managing a complex organization 541 00:33:29,320 --> 00:33:33,000 Speaker 9: like the United States, Kamala Harris has passed the audition flawlessly. 542 00:33:33,320 --> 00:33:36,280 Speaker 9: This has been in many ways a perfect campaign, he briefed, 543 00:33:36,640 --> 00:33:38,600 Speaker 9: and she had barely any time to put it together. 544 00:33:38,680 --> 00:33:42,280 Speaker 3: But eventually reality sanking and joy Reid was back to 545 00:33:42,360 --> 00:33:46,520 Speaker 3: doing what she does best, race baiting and making wild claims, 546 00:33:47,000 --> 00:33:51,000 Speaker 3: this time about Israel wanting to ethnically cleanse Gaza. 547 00:33:51,480 --> 00:33:53,400 Speaker 9: But he wants Dottle Trump to be more president more 548 00:33:53,440 --> 00:33:56,520 Speaker 9: than beving in Yahoo, who is backed by a far 549 00:33:56,640 --> 00:33:59,240 Speaker 9: right coalition that would like to clear cut Gaza. 550 00:33:59,680 --> 00:34:00,400 Speaker 2: That Dino. 551 00:34:00,560 --> 00:34:03,320 Speaker 9: It would would truly like to complete a complete ethnic 552 00:34:03,360 --> 00:34:04,360 Speaker 9: cleansing of Gaza. 553 00:34:04,600 --> 00:34:08,800 Speaker 3: Meanwhile, Rachel Medow was lashing out at the American public, 554 00:34:09,040 --> 00:34:12,719 Speaker 3: chiding them for not realizing just how good the economy is. 555 00:34:12,920 --> 00:34:15,400 Speaker 13: The United States economy is the envy of the world. 556 00:34:15,760 --> 00:34:20,880 Speaker 13: The inflation numbers, the economic growth numbers, the fiscal numbers, 557 00:34:21,120 --> 00:34:25,240 Speaker 13: the US standing in the world numbers are all off. 558 00:34:25,040 --> 00:34:25,960 Speaker 7: The charts positive. 559 00:34:25,960 --> 00:34:28,520 Speaker 13: But even the freaking stock market right all off the 560 00:34:28,600 --> 00:34:29,360 Speaker 13: charts positive. 561 00:34:29,440 --> 00:34:32,880 Speaker 3: There you have it. You're just imagining all that economic hardship. 562 00:34:33,000 --> 00:34:36,080 Speaker 3: The share market is up. It's all good, Rachel said. So, 563 00:34:36,719 --> 00:34:39,880 Speaker 3: now let's hear from a Kamala fan who saw a 564 00:34:39,920 --> 00:34:43,560 Speaker 3: man in a mega hat and launched into this die tribe. 565 00:34:43,600 --> 00:34:44,840 Speaker 3: Should be feeling it today. 566 00:34:45,120 --> 00:34:46,520 Speaker 2: You've gotta love Trump. 567 00:34:46,760 --> 00:34:47,600 Speaker 3: He's gonna lose. 568 00:34:47,920 --> 00:34:52,080 Speaker 4: Good, he's empowering. You raise his all right, but you wait, 569 00:34:52,640 --> 00:34:55,239 Speaker 4: a black it's gonna be in the office and his 570 00:34:55,480 --> 00:34:58,040 Speaker 4: wife is going to be out. We're taking a trash 571 00:34:58,080 --> 00:35:02,640 Speaker 4: our louther All right, we're in power. Now you have 572 00:35:02,760 --> 00:35:04,440 Speaker 4: a wonderful day on the fifth. 573 00:35:04,440 --> 00:35:09,400 Speaker 3: Okay, you're gonna lose and your leader cult leader, and 574 00:35:09,520 --> 00:35:13,800 Speaker 3: this next Kamala fan also has learned an important lesson today. 575 00:35:14,480 --> 00:35:17,520 Speaker 3: Don't get over confident when you sit in a leftist 576 00:35:17,560 --> 00:35:20,959 Speaker 3: echo chamber, because when reality hits, it's gonna hurt. 577 00:35:25,120 --> 00:35:27,399 Speaker 4: I mean not to be you know, copy, but I'm 578 00:35:28,200 --> 00:35:29,279 Speaker 4: I'm optimistic. 579 00:35:31,600 --> 00:35:34,960 Speaker 3: Joining me now is Newsweek's senior editor at Large and 580 00:35:35,120 --> 00:35:39,719 Speaker 3: Article three Projects Senior Council Josh Hammer. Josh, you call 581 00:35:39,840 --> 00:35:45,280 Speaker 3: this election weeks ago? Any surprises in this result? 582 00:35:46,960 --> 00:35:48,800 Speaker 11: Reader? What an evening here in the United States? 583 00:35:48,800 --> 00:35:52,880 Speaker 14: My god, Look, I mean, it's one thing to project 584 00:35:52,960 --> 00:35:55,800 Speaker 14: what what your gut is and what the early data 585 00:35:55,840 --> 00:35:58,400 Speaker 14: seemed to be indicating. Is another thing to see a 586 00:35:58,480 --> 00:36:00,759 Speaker 14: play out in real time. Well, I'll be honest, this 587 00:36:01,120 --> 00:36:05,000 Speaker 14: was actually a more thoroughly dominant performance than even myself, 588 00:36:05,080 --> 00:36:08,440 Speaker 14: in my wildest dreams, could have possibly imagined. I really 589 00:36:08,440 --> 00:36:11,200 Speaker 14: did not think that there was a high likely, but 590 00:36:11,239 --> 00:36:13,120 Speaker 14: I thought it was possible, and not a high likelihood, 591 00:36:13,120 --> 00:36:16,879 Speaker 14: that Donald Trump would actually win outright the national popular vote, 592 00:36:16,880 --> 00:36:19,919 Speaker 14: becading the first Republican presidential candidate to do that since 593 00:36:19,960 --> 00:36:20,520 Speaker 14: George W. 594 00:36:20,600 --> 00:36:22,200 Speaker 11: Bush back in two thousand and. 595 00:36:22,080 --> 00:36:25,960 Speaker 14: Four, only the second Republican presidential candidate in my lifetime 596 00:36:26,040 --> 00:36:28,040 Speaker 14: to do that. Going back all the way to George H. W. 597 00:36:28,120 --> 00:36:32,000 Speaker 14: Bush in nineteen eighty eight, a totally dominant performance, outright 598 00:36:32,040 --> 00:36:36,440 Speaker 14: winning Hispanic men, young black men, going to the Republican 599 00:36:36,480 --> 00:36:40,560 Speaker 14: column for the largest percentage probably in the recorded history 600 00:36:40,560 --> 00:36:44,160 Speaker 14: of American polling. Gen Z millennials, essentially within the margin 601 00:36:44,200 --> 00:36:47,839 Speaker 14: of error, a statistical toss up. The women gender gap 602 00:36:47,920 --> 00:36:50,799 Speaker 14: not nearly as massive as many polsters feared that it 603 00:36:50,800 --> 00:36:54,239 Speaker 14: would be, just a totally dominant performance. And we're still 604 00:36:54,239 --> 00:36:57,040 Speaker 14: waiting to see exactly how long the coattails are when 605 00:36:57,040 --> 00:36:59,120 Speaker 14: it comes to some of these contested US Senate s's. 606 00:36:59,160 --> 00:37:01,760 Speaker 14: We haven't finished putting the piece of the puzzle together there. 607 00:37:01,840 --> 00:37:03,719 Speaker 14: But it's looking like Donald Trump is going to have 608 00:37:03,800 --> 00:37:07,920 Speaker 14: a historically unprecedented opportunity. He's going to have a sizable 609 00:37:08,040 --> 00:37:09,719 Speaker 14: lead in the US Senate one way or the other. 610 00:37:09,800 --> 00:37:11,799 Speaker 14: He's going to have control of the US House. He's 611 00:37:11,840 --> 00:37:14,200 Speaker 14: going to have a Supreme Court majority that's probably going 612 00:37:14,239 --> 00:37:17,239 Speaker 14: to be affirmed over the next few years. We'll see 613 00:37:17,239 --> 00:37:21,560 Speaker 14: what retirements happened. But conservatives are in suddenly a very 614 00:37:21,600 --> 00:37:24,160 Speaker 14: good place when when it comes to America, it seems 615 00:37:24,160 --> 00:37:26,799 Speaker 14: almost too good to be true. My one hope, my 616 00:37:26,880 --> 00:37:30,400 Speaker 14: one hope is that the not just the Trump administration, 617 00:37:30,480 --> 00:37:33,480 Speaker 14: but but the broader Republican Party, that broader conservative movement, 618 00:37:33,719 --> 00:37:37,200 Speaker 14: that that we not that we not vanquish this opportunity. 619 00:37:37,200 --> 00:37:38,840 Speaker 14: We have to take advantage of it. This is a 620 00:37:39,000 --> 00:37:41,359 Speaker 14: this is very much kind of a once every few 621 00:37:41,440 --> 00:37:44,120 Speaker 14: decades sort of thing. These next four years, every single 622 00:37:44,200 --> 00:37:46,000 Speaker 14: day is going to matter. We have a lot of 623 00:37:46,080 --> 00:37:48,719 Speaker 14: major issues. We have to stay laser focused, eyes on 624 00:37:48,760 --> 00:37:50,880 Speaker 14: the prize. Now that now that this tremendous victory is 625 00:37:50,880 --> 00:37:51,080 Speaker 14: in the. 626 00:37:51,080 --> 00:37:57,279 Speaker 3: Beck and well, Trump's assembled a remarkable tame so you 627 00:37:57,280 --> 00:38:00,239 Speaker 3: would think that we'll be able to pull up off. 628 00:38:00,320 --> 00:38:04,080 Speaker 3: You look at the talent he has. We've talked about 629 00:38:04,080 --> 00:38:06,919 Speaker 3: it on Musk in the past. He's got Tulsea Gabbard there, 630 00:38:07,040 --> 00:38:12,479 Speaker 3: Robert F. Kenny Junior, but also the young talent within 631 00:38:12,560 --> 00:38:14,880 Speaker 3: the Republicans. I mean, you look at the future and 632 00:38:14,960 --> 00:38:20,400 Speaker 3: future presidential races JD Vance, Ron De Santis, Vivet Gramaswami. 633 00:38:21,239 --> 00:38:23,800 Speaker 3: The future is looking pretty bright for the Republicans. 634 00:38:25,719 --> 00:38:28,960 Speaker 11: Look, I've known JD for years. I consider the guy 635 00:38:29,000 --> 00:38:29,440 Speaker 11: a friend. 636 00:38:30,400 --> 00:38:32,920 Speaker 14: As I sit here this morning here in Florida talking 637 00:38:32,920 --> 00:38:35,840 Speaker 14: with you, Rita, it is completely surreal to me that 638 00:38:35,960 --> 00:38:37,759 Speaker 14: jd Vance is about to be Vice President of the 639 00:38:37,840 --> 00:38:40,600 Speaker 14: United States. I feel like he's like hinched myself. I 640 00:38:40,640 --> 00:38:42,279 Speaker 14: cannot believe that this is like a real thing that 641 00:38:42,360 --> 00:38:45,680 Speaker 14: is actually happening. I mean, he's forty years old. The 642 00:38:45,760 --> 00:38:49,080 Speaker 14: dude has literally been the embodiment of the American dream. 643 00:38:49,239 --> 00:38:51,560 Speaker 14: But you know, as great as jd Vance's story is, 644 00:38:51,600 --> 00:38:54,480 Speaker 14: and it is an incredible story, the Donald Trump comeback 645 00:38:54,480 --> 00:38:57,359 Speaker 14: story my god, you know, I mean, if Hollywood were 646 00:38:57,400 --> 00:39:01,280 Speaker 14: not as uniformly left wing as it was, Paramount Sony, 647 00:39:01,360 --> 00:39:04,080 Speaker 14: all the major studios will be going to a bidding 648 00:39:04,120 --> 00:39:06,560 Speaker 14: war right now to get the intellectual property right to 649 00:39:06,640 --> 00:39:11,480 Speaker 14: produce this documentary. What an incredible story, Rita. They have 650 00:39:11,640 --> 00:39:14,799 Speaker 14: done everything to get this guy going, at least as 651 00:39:14,840 --> 00:39:17,040 Speaker 14: far back as the spying on the campaign back in 652 00:39:17,080 --> 00:39:21,000 Speaker 14: twenty sixteen, the FIZA, the Russia collusion, delusion, the impeachments, 653 00:39:21,040 --> 00:39:25,040 Speaker 14: the indictments, the assassination tempts. Holy moly. I mean, this 654 00:39:25,160 --> 00:39:29,600 Speaker 14: is like, this is true Hollywood esque stuff. And you know, 655 00:39:29,640 --> 00:39:32,000 Speaker 14: I don't think that we have all fully processed it. Here, 656 00:39:32,120 --> 00:39:34,479 Speaker 14: As the sun starts to rise on the East Coast 657 00:39:34,480 --> 00:39:37,120 Speaker 14: in the United States, but you know, as Ronald Reagan 658 00:39:37,160 --> 00:39:40,120 Speaker 14: once said, it is morning in America again, You're totally right. 659 00:39:40,360 --> 00:39:42,320 Speaker 11: This is a unique coalition. 660 00:39:41,880 --> 00:39:44,200 Speaker 14: That brought Donald Trump across the finish line, not just 661 00:39:44,320 --> 00:39:48,000 Speaker 14: the demographic slices, but people like Dana White, Elana Musk, 662 00:39:48,080 --> 00:39:50,560 Speaker 14: Tulsea Gabbard, RF Junior. You know, this is not your 663 00:39:50,600 --> 00:39:53,960 Speaker 14: grandfather's Republican party. And I say that in a very 664 00:39:54,040 --> 00:39:56,600 Speaker 14: very good way. This is not a stodgy, old country 665 00:39:56,640 --> 00:39:59,600 Speaker 14: club sort of party anymore. This is very much a 666 00:39:59,719 --> 00:40:02,040 Speaker 14: MOVI ment, the MAGA America First movement. That is a 667 00:40:02,040 --> 00:40:07,400 Speaker 14: movement of pragmatic, concrete America First, common sense priorities. It 668 00:40:07,480 --> 00:40:10,040 Speaker 14: is not lost and kind of the think tank sauce, 669 00:40:10,040 --> 00:40:12,600 Speaker 14: so to speak. There they're concerned first and foremost about 670 00:40:12,600 --> 00:40:15,120 Speaker 14: the tangible concerns of the American people. That is a 671 00:40:15,239 --> 00:40:17,719 Speaker 14: very promising thing that, above all, I think is why 672 00:40:17,760 --> 00:40:18,640 Speaker 14: they have won this election. 673 00:40:21,000 --> 00:40:25,120 Speaker 3: Now. Michael Shellenberger, friend of this program, he's worked with 674 00:40:25,160 --> 00:40:29,759 Speaker 3: Elon Musk, has revealed a great deal about the censorship 675 00:40:29,840 --> 00:40:35,399 Speaker 3: complex in America. He's called on the Trump to look 676 00:40:35,480 --> 00:40:41,359 Speaker 3: into America's intelligence agencies. He wants an investigation as part 677 00:40:41,440 --> 00:40:46,000 Speaker 3: of Trump's administration. He wrote on x that our intelligence 678 00:40:46,040 --> 00:40:51,440 Speaker 3: community is rotten to the core and serious investigations are required. 679 00:40:51,520 --> 00:40:56,960 Speaker 3: He talked about the censorship issue January sixth, the origins 680 00:40:56,960 --> 00:41:02,560 Speaker 3: of COVID, the law fare that's been used, and really importantly, Josh, 681 00:41:02,600 --> 00:41:08,719 Speaker 3: the weaponization of the CIA, the FBI, the DHS. Do 682 00:41:08,800 --> 00:41:12,600 Speaker 3: you see this as something that Trump's team will be 683 00:41:12,800 --> 00:41:16,080 Speaker 3: looking at. Trump's been a victim of this himself, and 684 00:41:17,239 --> 00:41:21,480 Speaker 3: again this might be a once in a lifetime opportunity 685 00:41:21,560 --> 00:41:23,840 Speaker 3: to actually do something about this issue. 686 00:41:24,880 --> 00:41:25,080 Speaker 5: Yeah. 687 00:41:25,120 --> 00:41:26,719 Speaker 14: I do think that the administration is going to be 688 00:41:26,840 --> 00:41:29,279 Speaker 14: very focused on this come day one. Look, they're having 689 00:41:29,400 --> 00:41:32,279 Speaker 14: four years to get the ball rolling when it comes 690 00:41:32,320 --> 00:41:35,040 Speaker 14: to day one. Executive orders day one sort of things 691 00:41:35,080 --> 00:41:39,080 Speaker 14: that an administration with or without a complying Congress can 692 00:41:39,080 --> 00:41:42,000 Speaker 14: actually get across the finish line there. Ever, since the 693 00:41:42,440 --> 00:41:45,600 Speaker 14: twilight days of the first Trump administration the second half 694 00:41:45,640 --> 00:41:47,160 Speaker 14: of the year twenty twenty, a lot of people in 695 00:41:47,239 --> 00:41:50,200 Speaker 14: DC have been talking about it somewhat obscure thing called 696 00:41:50,320 --> 00:41:53,520 Speaker 14: Schedule F which basically refers to the ability of the 697 00:41:53,560 --> 00:41:56,640 Speaker 14: President of the United States to invoke executive authority to 698 00:41:56,800 --> 00:41:59,400 Speaker 14: fire people in the executive branch. You know, putting on 699 00:41:59,440 --> 00:42:02,640 Speaker 14: my legal it actually is constitutional law one oh one 700 00:42:02,680 --> 00:42:06,560 Speaker 14: that a president has cleanery inherent ability to fire whoever 701 00:42:06,600 --> 00:42:09,200 Speaker 14: he wants, period, full stop, end of story, in his 702 00:42:09,280 --> 00:42:11,920 Speaker 14: executive branch. After all, he is the one who wields 703 00:42:11,920 --> 00:42:14,600 Speaker 14: the quote unquote executive power. People are gonna call him 704 00:42:14,600 --> 00:42:17,279 Speaker 14: a fascist for firing, you know, cleaning in house of 705 00:42:17,360 --> 00:42:20,200 Speaker 14: the NSA, in the various other organs of the intelligence 706 00:42:20,200 --> 00:42:23,040 Speaker 14: community there. But he has that constitutional authority, and I 707 00:42:23,120 --> 00:42:25,680 Speaker 14: for one want those cases to be brought. I want 708 00:42:25,719 --> 00:42:28,959 Speaker 14: the ACLU to start firing this sort of litigation. After 709 00:42:28,960 --> 00:42:31,319 Speaker 14: Donald Trump does this, Let's get some good Supreme Court 710 00:42:31,320 --> 00:42:34,240 Speaker 14: president on the books, overturn some garbage president from sixty 711 00:42:34,280 --> 00:42:36,120 Speaker 14: seventy years ago that says he can't do this kind 712 00:42:36,160 --> 00:42:38,719 Speaker 14: of thing because it is time to clean house it 713 00:42:38,840 --> 00:42:42,120 Speaker 14: fundamentally read above all is time to actually continue the 714 00:42:42,160 --> 00:42:44,840 Speaker 14: mission of draining the swamp. But when it comes to 715 00:42:44,920 --> 00:42:46,839 Speaker 14: the topic of draining the swamp and Washington, there are 716 00:42:46,920 --> 00:42:49,439 Speaker 14: very few things that have to be cleaned house as 717 00:42:49,560 --> 00:42:52,239 Speaker 14: thoroughly and completely as the intelligence community here. 718 00:42:54,560 --> 00:42:58,160 Speaker 3: Absolutely, and I think Donald Trump has learned from his 719 00:42:58,280 --> 00:43:00,800 Speaker 3: first time in office is going to have better people 720 00:43:00,880 --> 00:43:05,320 Speaker 3: around him, and the bureaucracy isn't going to be able 721 00:43:05,400 --> 00:43:09,360 Speaker 3: to frustrate his efforts to clean up the swamp Before 722 00:43:09,400 --> 00:43:12,359 Speaker 3: you go. The New York Post is reporting that Donald 723 00:43:12,400 --> 00:43:16,520 Speaker 3: Trump has seen a fifty percent increase in his support 724 00:43:16,600 --> 00:43:20,200 Speaker 3: among Jewish voters in New York as is compared to 725 00:43:20,239 --> 00:43:25,719 Speaker 3: the twenty twenty presidential election. The Jewish community overwhelmingly back 726 00:43:25,800 --> 00:43:29,080 Speaker 3: the Democrats normally, but the New York Post is saying 727 00:43:29,200 --> 00:43:33,319 Speaker 3: that Kamala Harris got only fifty five percent of the 728 00:43:33,400 --> 00:43:38,080 Speaker 3: Jewish vote in New York compared to President Biden, who 729 00:43:38,160 --> 00:43:41,520 Speaker 3: got sixty nine percent just four years ago. Is this 730 00:43:41,600 --> 00:43:46,719 Speaker 3: a reaction to the squad and how weak the Democrats 731 00:43:46,760 --> 00:43:49,799 Speaker 3: have been in the face of the anti Semitism we 732 00:43:49,880 --> 00:43:52,319 Speaker 3: have seen on the streets of New York and on 733 00:43:52,440 --> 00:43:53,680 Speaker 3: university campuses. 734 00:43:54,800 --> 00:43:56,359 Speaker 11: Yeah, I think that is a large part of it. 735 00:43:56,400 --> 00:43:56,560 Speaker 2: You know. 736 00:43:56,600 --> 00:43:58,600 Speaker 11: It's look Israel matters, for sure. 737 00:43:59,280 --> 00:44:02,760 Speaker 14: The old volumeagey of American Jews correctly view US Israel 738 00:44:02,760 --> 00:44:05,560 Speaker 14: relations as very important both for US foreign policy and 739 00:44:05,600 --> 00:44:07,840 Speaker 14: for the future of Jewish life in the world. But 740 00:44:08,360 --> 00:44:10,640 Speaker 14: more to the point, it has to do I think, yes, 741 00:44:10,719 --> 00:44:13,080 Speaker 14: with the shocking rise of anti Semitism here on the 742 00:44:13,080 --> 00:44:15,720 Speaker 14: home front here in the United States, which the Democratic Party, 743 00:44:15,840 --> 00:44:19,560 Speaker 14: you know, far from not condemning sufficiently, has actually fanned 744 00:44:19,560 --> 00:44:21,840 Speaker 14: the flames of that. You've had people like Kamala Harris 745 00:44:22,040 --> 00:44:24,680 Speaker 14: say that the protesters have a point. Joe Biden is 746 00:44:24,760 --> 00:44:28,880 Speaker 14: horrendous snide remarks to the Prohamas protesters outside the convention 747 00:44:28,920 --> 00:44:31,120 Speaker 14: in Chicago. You know, Jewish voters are not stupid. They 748 00:44:31,120 --> 00:44:33,200 Speaker 14: could hear of that and see that with their own 749 00:44:33,239 --> 00:44:35,759 Speaker 14: ears and their own eyes. And it's about time that 750 00:44:35,840 --> 00:44:38,200 Speaker 14: Democrats pay some sort of political price now read it. 751 00:44:38,239 --> 00:44:40,160 Speaker 14: I sell away patiently for the day that my fellow 752 00:44:40,239 --> 00:44:44,080 Speaker 14: Jews actually vote majority for a Republican Can that a 753 00:44:44,120 --> 00:44:46,080 Speaker 14: God willing that will happen sooner rather than later. I 754 00:44:46,080 --> 00:44:47,919 Speaker 14: think it actually is going to happen sooner rather than later, 755 00:44:47,960 --> 00:44:50,200 Speaker 14: by the way, given the demographic shifts here within the 756 00:44:50,280 --> 00:44:52,640 Speaker 14: Jewish community. But this is a tremendous step in the 757 00:44:52,680 --> 00:44:55,799 Speaker 14: correct direction. It's been a long time coming, and I, 758 00:44:55,920 --> 00:44:58,000 Speaker 14: for one of them, just very happy to see it. Anecdotally, 759 00:44:58,040 --> 00:45:00,160 Speaker 14: I had a lot of family member's close friends in 760 00:45:00,200 --> 00:45:03,640 Speaker 14: the Jewish community who are not typical conservative Republican voters, 761 00:45:03,719 --> 00:45:05,560 Speaker 14: who actually did cross the aisle of this time. So 762 00:45:05,600 --> 00:45:07,399 Speaker 14: I thought it was going to be something along these lines, 763 00:45:07,400 --> 00:45:09,600 Speaker 14: but it's great to see it actually happen as well, 764 00:45:09,600 --> 00:45:10,200 Speaker 14: that's for sure. 765 00:45:12,400 --> 00:45:14,440 Speaker 3: Now don't go anywhere. We're going to go have a 766 00:45:14,560 --> 00:45:17,399 Speaker 3: quick break, but we're going to come back and talk 767 00:45:17,480 --> 00:45:21,160 Speaker 3: about why so many people of color voted for Donald 768 00:45:21,160 --> 00:45:29,080 Speaker 3: Trump this time around. You're watching the Reader Panehy show 769 00:45:29,120 --> 00:45:32,400 Speaker 3: and joining me now is founder of Wrong Speak Publishing, 770 00:45:32,520 --> 00:45:36,759 Speaker 3: Adam B. Coleman. Adam, there was a great deal of 771 00:45:36,960 --> 00:45:40,600 Speaker 3: scare mongering in this election campaign, a lot of misinformation 772 00:45:40,840 --> 00:45:44,280 Speaker 3: at Trump was not only labeled a threat to democracy, 773 00:45:44,440 --> 00:45:48,000 Speaker 3: but he was called a racist. And yet one in 774 00:45:48,160 --> 00:45:52,720 Speaker 3: three people of color cast their vote for Donald Trump. 775 00:45:52,719 --> 00:45:57,080 Speaker 3: That's according to exit polling published by MBC. As a 776 00:45:57,080 --> 00:46:01,200 Speaker 3: man of color yourself, did you feel pressure to stick 777 00:46:01,239 --> 00:46:05,080 Speaker 3: with the Democrats? That's what's expected of those of us 778 00:46:05,080 --> 00:46:08,839 Speaker 3: who are off color, But people are making up their 779 00:46:08,840 --> 00:46:09,560 Speaker 3: own minds. 780 00:46:11,800 --> 00:46:12,000 Speaker 2: Yeah. 781 00:46:12,160 --> 00:46:15,319 Speaker 12: Personally speaking, I voted for Trump, and this was the 782 00:46:15,320 --> 00:46:18,520 Speaker 12: first time I voted for Trump, So I don't feel 783 00:46:18,520 --> 00:46:21,319 Speaker 12: any sort of pressure. You know, I choose whoever I want, 784 00:46:21,480 --> 00:46:25,520 Speaker 12: regardless you my skin color doesn't come into play. But 785 00:46:25,960 --> 00:46:30,520 Speaker 12: I think what's been very unusual in this political campaign 786 00:46:30,760 --> 00:46:34,440 Speaker 12: was how many people like me who were vocal about 787 00:46:34,640 --> 00:46:38,040 Speaker 12: not caring about any of those narratives, not scared to 788 00:46:38,120 --> 00:46:41,640 Speaker 12: say publicly that they support Trump, and not scared to 789 00:46:41,680 --> 00:46:44,520 Speaker 12: criticize the Democratic Party, who are supposed to be the 790 00:46:44,520 --> 00:46:48,600 Speaker 12: saviors of all colored people of America and say, hey, 791 00:46:48,920 --> 00:46:51,080 Speaker 12: why don't you give us a candidate that actually cares 792 00:46:51,120 --> 00:46:53,640 Speaker 12: about the things that we care about? And those things 793 00:46:54,040 --> 00:46:57,440 Speaker 12: cross racial aligns, right, what's going on with the economy, 794 00:46:57,440 --> 00:46:59,640 Speaker 12: what's going on at the border, And it seems like 795 00:46:59,800 --> 00:47:04,200 Speaker 12: you're trying to repackage the Biden administration policies in putting 796 00:47:04,200 --> 00:47:07,200 Speaker 12: a fresh face on it and telling us something new. 797 00:47:07,040 --> 00:47:08,359 Speaker 2: And it's not so. 798 00:47:08,719 --> 00:47:10,759 Speaker 12: I think at the end of the day, most Americans 799 00:47:10,880 --> 00:47:13,799 Speaker 12: care about their safety, they care about their economics and 800 00:47:13,840 --> 00:47:16,839 Speaker 12: the sovereignty of their nation. Their skin color doesn't come 801 00:47:16,840 --> 00:47:17,560 Speaker 12: into play. 802 00:47:19,760 --> 00:47:19,920 Speaker 2: Well. 803 00:47:19,920 --> 00:47:23,800 Speaker 3: The Democrats do love identity politics, and they do play 804 00:47:23,960 --> 00:47:28,160 Speaker 3: on that. He had Baracco Obama out there preaching and 805 00:47:28,360 --> 00:47:32,520 Speaker 3: some would say hectoring black men in particular, to back 806 00:47:32,640 --> 00:47:37,360 Speaker 3: Kamala Harris. Do you think that backfire? Did that actually 807 00:47:37,400 --> 00:47:39,200 Speaker 3: turn off potential voters? 808 00:47:40,840 --> 00:47:43,600 Speaker 12: I don't think it helped whatsoever. I saw a lot 809 00:47:43,640 --> 00:47:48,160 Speaker 12: of online backlash to his scolding. And what was very 810 00:47:48,200 --> 00:47:52,320 Speaker 12: amazing about it is, in any other campaign situation, you 811 00:47:52,360 --> 00:47:55,680 Speaker 12: would say, oh, you know, that was a misquote, or 812 00:47:55,719 --> 00:47:58,640 Speaker 12: all right, he shouldn't have said that, But he doesn't stand. 813 00:47:59,120 --> 00:48:01,560 Speaker 12: He doesn't speak for everybody else's part of this campaign. 814 00:48:02,080 --> 00:48:04,960 Speaker 12: The crazy part was that everyone else followed up and 815 00:48:05,000 --> 00:48:07,879 Speaker 12: said the same thing that he did. Everyone came out, 816 00:48:07,920 --> 00:48:11,160 Speaker 12: all the celebrities, all the pundits, other politicians, they all 817 00:48:11,160 --> 00:48:14,640 Speaker 12: came out and echoed what he stated. And so for me, 818 00:48:15,160 --> 00:48:17,799 Speaker 12: this not only affirms what I've been saying for the 819 00:48:17,840 --> 00:48:21,880 Speaker 12: past four or so years that this party one is 820 00:48:21,920 --> 00:48:25,480 Speaker 12: a Missandra's party who has no problem chastising men in general. 821 00:48:25,960 --> 00:48:29,240 Speaker 12: But two, they don't really rock with black people unless 822 00:48:29,239 --> 00:48:31,719 Speaker 12: they do exactly the thing that they want, and they 823 00:48:31,760 --> 00:48:35,200 Speaker 12: don't care to win over Black Americans. They just they've 824 00:48:35,200 --> 00:48:39,120 Speaker 12: become entitled, right, So they're freaking out over a possibility 825 00:48:39,200 --> 00:48:42,400 Speaker 12: of losing five percent. You know, we were supposed to 826 00:48:42,480 --> 00:48:45,080 Speaker 12: get one hundred percent. That's the level of entitlement that 827 00:48:45,120 --> 00:48:47,920 Speaker 12: they have, and they don't think that they should persuade us, 828 00:48:48,000 --> 00:48:50,920 Speaker 12: convince us. What do we get for this? Do you 829 00:48:50,960 --> 00:48:53,520 Speaker 12: care about what we care about? Shut up and vote 830 00:48:53,560 --> 00:48:56,800 Speaker 12: for us is not a selling message for Americans, including 831 00:48:56,840 --> 00:48:59,160 Speaker 12: Black Americans, and so I think a lot of Black 832 00:48:59,200 --> 00:49:02,239 Speaker 12: Americans are waking up. They're asking questions, and they're not 833 00:49:02,400 --> 00:49:06,040 Speaker 12: afraid to say, you know what, forget the Democrats. I'm 834 00:49:06,040 --> 00:49:07,120 Speaker 12: taking a chance on Trump. 835 00:49:09,600 --> 00:49:11,880 Speaker 3: Adam Bie Coleman, thank you so much for your time 836 00:49:12,000 --> 00:49:14,560 Speaker 3: this evening, and that's it from May. I'll see you 837 00:49:14,600 --> 00:49:17,880 Speaker 3: at eleven tomorrow night. Coming up next, we'll be joining 838 00:49:18,040 --> 00:49:22,279 Speaker 3: Fox News for the latest presidential election coverage.