1 00:00:04,960 --> 00:00:08,000 Speaker 1: This is what happens with the fourth turning meets fifth 2 00:00:08,000 --> 00:00:09,040 Speaker 1: generation warfare. 3 00:00:09,119 --> 00:00:20,040 Speaker 2: A commentator, international social media sensation and former Navy intelligence veteran. 4 00:00:20,200 --> 00:00:22,840 Speaker 3: This is Human Events with your host Jack Pisoviet. 5 00:00:23,480 --> 00:00:27,240 Speaker 4: Christ is Governor Murphy declaring a state of emergency in 6 00:00:27,320 --> 00:00:30,640 Speaker 4: New Jersey due to the flash flooding and high levels 7 00:00:30,640 --> 00:00:34,479 Speaker 4: of rainfall. And then here drivers in Westchester County. We 8 00:00:34,560 --> 00:00:38,159 Speaker 4: are tracking reports of damage, flooding, water rescues. It's happening 9 00:00:38,280 --> 00:00:40,760 Speaker 4: across the Tri state area. 10 00:00:41,240 --> 00:00:42,199 Speaker 5: I'm going to call this one in. 11 00:00:42,680 --> 00:00:44,120 Speaker 6: I can't open the dose of non dat. 12 00:00:44,120 --> 00:00:47,080 Speaker 5: You give me a second. We're very pleased with where 13 00:00:47,120 --> 00:00:47,960 Speaker 5: we are right now. 14 00:00:47,960 --> 00:00:52,560 Speaker 7: We're collecting about five billion dollars in tariffs a week, 15 00:00:52,600 --> 00:00:55,360 Speaker 7: and the numbers are going up. We've collected over one 16 00:00:55,400 --> 00:00:57,640 Speaker 7: hundred billion dollars of tariffs. 17 00:00:57,600 --> 00:00:59,640 Speaker 5: Since President Trump took office. 18 00:00:59,640 --> 00:01:03,960 Speaker 8: They industry has now made a commitment to get rid 19 00:01:03,960 --> 00:01:07,160 Speaker 8: of all dies with them by the end of twenty 20 00:01:07,200 --> 00:01:10,160 Speaker 8: twenty six, and some of them are already taking action. 21 00:01:10,360 --> 00:01:13,200 Speaker 8: Some of them already gotten rid of the dies we 22 00:01:13,240 --> 00:01:16,560 Speaker 8: now have with this contribution, with his commitment, we now 23 00:01:16,640 --> 00:01:19,320 Speaker 8: have about forty percent of the food industry. That's already 24 00:01:19,319 --> 00:01:22,960 Speaker 8: made that commitment, and thirty five percent of the food 25 00:01:23,000 --> 00:01:26,880 Speaker 8: industry was already had already gotten rid of the dies. 26 00:01:27,000 --> 00:01:31,000 Speaker 9: The days of the United States sending unlimited taxpayer dollars to. 27 00:01:31,040 --> 00:01:32,960 Speaker 5: Defend Ukraine are over. 28 00:01:33,319 --> 00:01:37,800 Speaker 9: President Trump has made a very smart decision and agreement 29 00:01:37,840 --> 00:01:42,399 Speaker 9: with NATO which says that Europe and Canada will pay 30 00:01:42,600 --> 00:01:45,479 Speaker 9: for the weapons, the United States will manufacture them. 31 00:01:45,800 --> 00:01:48,960 Speaker 7: Very unhappy I am with Russia. 32 00:01:49,080 --> 00:01:53,360 Speaker 5: We're going to be doing very severe tariffs if we 33 00:01:53,400 --> 00:01:55,200 Speaker 5: don't have a deal in fifty days. 34 00:01:57,240 --> 00:02:00,360 Speaker 1: Well, ladies and Joleen, welcome aboard today's vision of human 35 00:02:00,440 --> 00:02:07,560 Speaker 1: Events Daily Today is July fifteenth, twenty twenty five. Anno Dominie, folks. 36 00:02:08,440 --> 00:02:11,160 Speaker 1: A ton of information and news coming out of the 37 00:02:11,200 --> 00:02:15,799 Speaker 1: White House over the last really twenty four hours. One 38 00:02:15,800 --> 00:02:18,519 Speaker 1: of the biggest ones, of course being this idea of 39 00:02:19,360 --> 00:02:22,440 Speaker 1: a new weapons packages for Ukraine. 40 00:02:22,560 --> 00:02:25,480 Speaker 5: And so what I wanted to do is get in. 41 00:02:25,360 --> 00:02:29,160 Speaker 1: Here for a little bit right off the start and 42 00:02:29,320 --> 00:02:33,600 Speaker 1: talk about the situation. Reporter, give a sit rep on 43 00:02:33,720 --> 00:02:37,280 Speaker 1: what's going on in Ukraine. There's also new Epstein polling out. 44 00:02:37,480 --> 00:02:39,919 Speaker 1: We're going to get to that in just a little bit. 45 00:02:40,000 --> 00:02:46,120 Speaker 1: But looking at Ukraine right now, specifically on the specifically 46 00:02:46,160 --> 00:02:47,960 Speaker 1: on the ground. When you look at the map, the 47 00:02:48,000 --> 00:02:51,919 Speaker 1: real question is what will change, What has changed on 48 00:02:51,960 --> 00:02:55,840 Speaker 1: the map, what has occurred in this what we've called 49 00:02:55,880 --> 00:02:59,359 Speaker 1: the Lava advance of the Russian military forces in those 50 00:02:59,400 --> 00:03:04,320 Speaker 1: easternsing provinces, particularly with a few breakouts, And the question 51 00:03:04,440 --> 00:03:07,640 Speaker 1: on a lot of analysts' hands is wel heads, is 52 00:03:07,680 --> 00:03:12,600 Speaker 1: that will this change anything strategically for Russia. Of course, 53 00:03:12,600 --> 00:03:15,960 Speaker 1: we're seeing the Russian armed forces, they are beginning, they're 54 00:03:16,040 --> 00:03:20,320 Speaker 1: continuing this strategy. They're continuing this strategy of what I've 55 00:03:20,320 --> 00:03:21,520 Speaker 1: called it the Lava advance. 56 00:03:21,600 --> 00:03:24,200 Speaker 5: Others have called it the Lava advance. It's war of attrition. 57 00:03:24,560 --> 00:03:28,400 Speaker 1: So war of attrition means you steadily grind down the 58 00:03:28,440 --> 00:03:32,840 Speaker 1: forces of the other side while continuing your advance, breaking 59 00:03:32,880 --> 00:03:34,200 Speaker 1: out where you're able to. 60 00:03:34,360 --> 00:03:36,920 Speaker 5: It is slow, it is devastating. 61 00:03:37,080 --> 00:03:41,600 Speaker 1: What you're seeing is steady pressure, destruction of infrastructure, and 62 00:03:41,680 --> 00:03:43,320 Speaker 1: you're going after those reserves. 63 00:03:44,120 --> 00:03:45,800 Speaker 5: So when people look at the map, they say, wait 64 00:03:45,840 --> 00:03:46,360 Speaker 5: a minute. 65 00:03:46,440 --> 00:03:49,040 Speaker 1: So when you see this map here, it says, hey, 66 00:03:49,080 --> 00:03:52,720 Speaker 1: there's not much change on this map since twenty twenty 67 00:03:52,720 --> 00:03:55,800 Speaker 1: two or twenty twenty three. You know, does that mean 68 00:03:55,800 --> 00:03:58,240 Speaker 1: that Russia isn't isn't doing anything? Does that mean they've 69 00:03:58,280 --> 00:04:00,560 Speaker 1: held off? And I say, well, what are you not 70 00:04:00,600 --> 00:04:03,480 Speaker 1: seeing on the map right there? You're not seeing are 71 00:04:03,520 --> 00:04:07,960 Speaker 1: the numbers of the Ukrainian reserves, the numbers of the manpower. 72 00:04:08,280 --> 00:04:10,920 Speaker 1: So you're talking about Bradley's, you're talking about Hi Mars, 73 00:04:10,960 --> 00:04:13,680 Speaker 1: you're talking about matvs, you're talking about strikers, You're talking 74 00:04:13,680 --> 00:04:17,880 Speaker 1: about all of this equipment. But here's the point. The 75 00:04:17,960 --> 00:04:21,280 Speaker 1: desertion rate. There reports the desertion rate is now at 76 00:04:21,320 --> 00:04:26,039 Speaker 1: seventy percent for the Ukrainian military. There are people who 77 00:04:26,040 --> 00:04:30,080 Speaker 1: are getting drafted and conscripted in their forties even older. 78 00:04:30,360 --> 00:04:33,279 Speaker 1: You're looking at the ages of some of these units 79 00:04:33,279 --> 00:04:35,839 Speaker 1: are going higher and higher and higher. And guess what 80 00:04:36,320 --> 00:04:39,120 Speaker 1: anyone who can get out is I just saw a 81 00:04:39,200 --> 00:04:42,000 Speaker 1: video the other day of a woman who died trying 82 00:04:42,000 --> 00:04:45,440 Speaker 1: to prevent her son from being conscripted and grabbed by 83 00:04:45,440 --> 00:04:50,239 Speaker 1: these recruiters off the street. The time will tell whether 84 00:04:50,360 --> 00:04:53,000 Speaker 1: or not this new technology, these new arms, really are 85 00:04:53,000 --> 00:04:57,240 Speaker 1: able to change anything on the ground in Ukraine. 86 00:05:00,320 --> 00:05:03,599 Speaker 5: Stand in our way and our golden age has just begun. 87 00:05:03,800 --> 00:05:07,200 Speaker 1: This human events with Jacksobet, Now it's time for everyone 88 00:05:07,320 --> 00:05:10,080 Speaker 1: to understand what America first truly means. 89 00:05:10,320 --> 00:05:16,960 Speaker 10: Welcome to the Second American Revolution, all. 90 00:05:16,960 --> 00:05:19,920 Speaker 1: Right, Jack with soobc Heuri are back Lives Human Events 91 00:05:20,040 --> 00:05:25,359 Speaker 1: Daily back in Washington, d C. After the turning point 92 00:05:25,440 --> 00:05:29,920 Speaker 1: student actions, some who held down there in Tampa, Florida, massive, 93 00:05:30,080 --> 00:05:36,039 Speaker 1: massive event, tens of thousands of students, some some what 94 00:05:36,120 --> 00:05:38,720 Speaker 1: do they say, lifelong students as well, but you know, 95 00:05:38,920 --> 00:05:42,520 Speaker 1: the predominant I would say demographic there was, you know, 96 00:05:42,680 --> 00:05:45,760 Speaker 1: was definitely in the college age range and even younger, 97 00:05:45,760 --> 00:05:48,520 Speaker 1: even high school as well. And so huge shout out 98 00:05:48,560 --> 00:05:51,480 Speaker 1: to Charlie Kirk. He's done it again, folks. Charlie Kirk 99 00:05:51,560 --> 00:05:54,120 Speaker 1: has done it again in terms of being able to 100 00:05:54,160 --> 00:05:59,039 Speaker 1: hold one of these one of these incredible summits, getting 101 00:05:59,040 --> 00:06:02,320 Speaker 1: the students together, getting and by the way, Lively debates 102 00:06:02,360 --> 00:06:06,720 Speaker 1: on a number of issues, Israel, Iran Epstein. So many 103 00:06:06,800 --> 00:06:09,240 Speaker 1: of these things came up, and I started a little 104 00:06:09,279 --> 00:06:12,160 Speaker 1: debate of my own that went pretty viral online regarding 105 00:06:12,240 --> 00:06:17,919 Speaker 1: what is an American Interesting folks, this year gold hitting 106 00:06:18,080 --> 00:06:20,960 Speaker 1: all time high at thirty eight hundred bucks, and silver 107 00:06:21,120 --> 00:06:23,320 Speaker 1: is trading your forty dollars an ounce and with the 108 00:06:23,400 --> 00:06:28,320 Speaker 1: uncertainty of war, inflation, interest rates, and all the tariff news, 109 00:06:28,480 --> 00:06:30,960 Speaker 1: the sky is literally the limit when it comes to 110 00:06:31,000 --> 00:06:33,520 Speaker 1: these precious metals. And people always ask me, okay, post so, 111 00:06:33,560 --> 00:06:34,480 Speaker 1: how do I get involved? 112 00:06:34,600 --> 00:06:37,279 Speaker 5: The answer is simple. 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Now, folks, 133 00:07:39,320 --> 00:07:45,000 Speaker 1: I wanted to get into, of course, the information regarding Epstein, 134 00:07:45,160 --> 00:07:47,559 Speaker 1: Epstein files, Epstein list, et cetera, et cetera. 135 00:07:47,560 --> 00:07:49,440 Speaker 5: I gave a huge speech, it was the first words. 136 00:07:49,200 --> 00:07:52,440 Speaker 1: Out of my mouth at the Student Action summit over 137 00:07:52,800 --> 00:07:57,080 Speaker 1: the weekend, and obviously it just became one of those 138 00:07:57,120 --> 00:08:00,160 Speaker 1: stories that I would say, it really took over the 139 00:08:00,160 --> 00:08:02,360 Speaker 1: the entire event. So go over the entire summit in 140 00:08:02,400 --> 00:08:04,600 Speaker 1: many ways. Of course, there are a few other breakout 141 00:08:04,640 --> 00:08:07,360 Speaker 1: moments as well, but this was the story that I 142 00:08:07,360 --> 00:08:11,240 Speaker 1: think dominated the headline, certainly dominated the headlines out there 143 00:08:11,320 --> 00:08:12,400 Speaker 1: in the world. 144 00:08:13,400 --> 00:08:14,960 Speaker 5: And so we've got a couple of clips. 145 00:08:15,480 --> 00:08:19,400 Speaker 1: President Trump was asked about Epstein a few times just 146 00:08:19,640 --> 00:08:22,560 Speaker 1: a few minutes ago. By the way, I want to 147 00:08:22,560 --> 00:08:26,600 Speaker 1: also point out Nicky Haley, of all people, NICKI Haley says, 148 00:08:27,080 --> 00:08:30,320 Speaker 1: release the Epstein files and let the chips fall where 149 00:08:30,320 --> 00:08:30,720 Speaker 1: they may. 150 00:08:31,120 --> 00:08:33,040 Speaker 5: This is why people don't trust government. 151 00:08:33,080 --> 00:08:36,600 Speaker 1: You can never go wrong with being transparent redact victims' names, 152 00:08:36,679 --> 00:08:39,920 Speaker 1: but release the rest. So there's nicky Haley. Even a 153 00:08:39,920 --> 00:08:43,040 Speaker 1: bird brain is coming up on this one. So she 154 00:08:43,360 --> 00:08:46,200 Speaker 1: put that out. Guys, if we have those clips of 155 00:08:46,240 --> 00:08:48,760 Speaker 1: the president, I'd like to get his I like to 156 00:08:48,760 --> 00:08:49,880 Speaker 1: get that up for everyone right now. 157 00:08:51,640 --> 00:08:54,200 Speaker 7: President, you're going, mister President, your daughter in law said 158 00:08:54,200 --> 00:08:57,680 Speaker 7: that there should be transparency in the Epstein case. 159 00:08:57,800 --> 00:09:01,200 Speaker 6: We agree with her, sir. The Attorney General's handled that 160 00:09:01,360 --> 00:09:06,000 Speaker 6: very well. She is. She's really done a very good job. 161 00:09:06,400 --> 00:09:08,400 Speaker 10: And I think that when you look at it, you'll 162 00:09:08,520 --> 00:09:11,840 Speaker 10: understand that. I would like to see that also, but 163 00:09:11,920 --> 00:09:13,240 Speaker 10: I think the Attorney general. 164 00:09:13,280 --> 00:09:14,640 Speaker 6: The credibility is very. 165 00:09:14,559 --> 00:09:18,600 Speaker 10: Important, and you want credible evidence or something like that, 166 00:09:19,040 --> 00:09:23,520 Speaker 10: and I think the Attorney General has handled it very well. 167 00:09:23,600 --> 00:09:27,520 Speaker 11: Brief view on the DUKA and FBI review, the findings 168 00:09:27,600 --> 00:09:28,479 Speaker 11: of that review. 169 00:09:28,240 --> 00:09:34,920 Speaker 10: The Attorney general brief what the the what subject the. 170 00:09:34,880 --> 00:09:38,440 Speaker 11: Review of the filenal pamp on you, very very quick briefing. 171 00:09:38,760 --> 00:09:41,720 Speaker 3: Did she tell you? What did she say about you? Specifically? 172 00:09:41,720 --> 00:09:44,199 Speaker 10: Think she told you and all that her name appeared 173 00:09:44,360 --> 00:09:49,160 Speaker 10: in No, No, she's She's given us just a very 174 00:09:49,240 --> 00:09:52,400 Speaker 10: quick briefing. And in terms of the credibility of the 175 00:09:52,440 --> 00:09:55,760 Speaker 10: different things that they've seen. And I would say that, 176 00:09:55,920 --> 00:09:58,719 Speaker 10: you know, these files were made up by Komi, they 177 00:09:58,720 --> 00:10:00,920 Speaker 10: were made up by Obam, but they were made up 178 00:10:00,960 --> 00:10:04,319 Speaker 10: by from you know, uh we And we went through 179 00:10:04,400 --> 00:10:09,080 Speaker 10: years of that with the Russia Russia Russia hugs, with 180 00:10:09,240 --> 00:10:11,200 Speaker 10: all of the different things that we had to go through. 181 00:10:11,240 --> 00:10:13,760 Speaker 10: We've gone through years of it. But she's handled it 182 00:10:13,840 --> 00:10:16,200 Speaker 10: very well and it's going to be up there. Whatever 183 00:10:16,280 --> 00:10:21,240 Speaker 10: she thinks is credible, she should release. Yeah. 184 00:10:21,280 --> 00:10:23,360 Speaker 1: So okay, right there at the very end, I want 185 00:10:23,360 --> 00:10:25,280 Speaker 1: to I want to be clear on that. He just said, 186 00:10:25,600 --> 00:10:29,800 Speaker 1: whatever she thinks is credible, she should release. Now you're 187 00:10:29,840 --> 00:10:33,160 Speaker 1: also seeing that refrain come out now from Nikki Haley. 188 00:10:33,240 --> 00:10:36,880 Speaker 1: We also saw I'm told by the way that my 189 00:10:36,960 --> 00:10:40,079 Speaker 1: good friend Bennie Johnson just had a sit down with 190 00:10:40,400 --> 00:10:45,760 Speaker 1: speaker Mike Johnson, and Speaker Mike Johnson said that we 191 00:10:45,800 --> 00:10:48,360 Speaker 1: should put everything out there and has just dropped as 192 00:10:48,360 --> 00:10:51,840 Speaker 1: the show began. Appreciate it, Benny for for you know, 193 00:10:51,920 --> 00:10:55,000 Speaker 1: you know, account programming. Yes here, I'm for transparency. We 194 00:10:55,000 --> 00:10:57,400 Speaker 1: should put everything out there and let the people decide. 195 00:10:57,400 --> 00:11:00,640 Speaker 1: Pam Bondi needs to come forward and explain to them people, 196 00:11:00,800 --> 00:11:05,080 Speaker 1: let's get this thing revolve. So that's Speaker of the 197 00:11:05,200 --> 00:11:11,720 Speaker 1: House Mike Johnson also calling for Attorney General Pam Bondi 198 00:11:12,040 --> 00:11:15,880 Speaker 1: to release information as well as President Trump. 199 00:11:16,000 --> 00:11:18,880 Speaker 5: Also, remember at the very end there, so at first. 200 00:11:18,600 --> 00:11:23,320 Speaker 1: He mentions that he's supportive of ag Bondi's role in 201 00:11:23,360 --> 00:11:25,360 Speaker 1: all of this, but he also says at the end 202 00:11:25,640 --> 00:11:30,080 Speaker 1: that she should release whatever she deems credible. So I 203 00:11:30,080 --> 00:11:32,480 Speaker 1: want to put that all out also, by the way, folks, 204 00:11:32,640 --> 00:11:35,280 Speaker 1: we were tracking that President Trump was going to be 205 00:11:35,320 --> 00:11:39,320 Speaker 1: holding this AI event at some point today, was going 206 00:11:39,360 --> 00:11:42,120 Speaker 1: to originally schedule for two to thirty, so we're told 207 00:11:42,160 --> 00:11:43,760 Speaker 1: that's now been pushed back to three thirty. 208 00:11:43,840 --> 00:11:45,640 Speaker 5: So that means I got a whole lot more time 209 00:11:45,679 --> 00:11:49,000 Speaker 5: on the show today, which is great. 210 00:11:49,320 --> 00:11:52,000 Speaker 1: And we've got a certain amount of time just left 211 00:11:52,080 --> 00:11:53,160 Speaker 1: in this segment. 212 00:11:53,480 --> 00:11:55,520 Speaker 5: So I want to go in through a little bit 213 00:11:55,559 --> 00:11:56,640 Speaker 5: more of. 214 00:11:56,880 --> 00:12:02,680 Speaker 1: The pulling data that's starting to come out from a 215 00:12:02,800 --> 00:12:09,560 Speaker 1: variety of sources on this, because we're really seeing, really 216 00:12:09,559 --> 00:12:12,160 Speaker 1: seeing the numbers pour out, and I wonder and wonder 217 00:12:12,240 --> 00:12:15,760 Speaker 1: if this is why Speaker Johnson, Nikki Haley, and others, 218 00:12:15,920 --> 00:12:18,640 Speaker 1: even the President himself are starting to now call for 219 00:12:18,880 --> 00:12:24,360 Speaker 1: more information to come out. We saw so according to 220 00:12:24,640 --> 00:12:28,360 Speaker 1: so this is on the idea about the Epstein files, 221 00:12:28,440 --> 00:12:32,680 Speaker 1: Jeffrey Epstein. So the Democracy Institute has put out a 222 00:12:32,679 --> 00:12:37,680 Speaker 1: poll of fifteen hundred likely voters in that and the 223 00:12:37,679 --> 00:12:40,800 Speaker 1: Democraty Institute, by the way, and the National polls will. 224 00:12:40,640 --> 00:12:43,520 Speaker 5: Tell you over there with Raheem Cassam that they. 225 00:12:43,400 --> 00:12:50,840 Speaker 1: Have a lot of credibility with the a lot of 226 00:12:50,840 --> 00:12:54,280 Speaker 1: credibility with the right. And it says out of Trump 227 00:12:54,320 --> 00:12:59,480 Speaker 1: twenty twenty four voters who believes that no files exist 228 00:12:59,520 --> 00:13:03,200 Speaker 1: or no list exists, only twenty one percent of voters 229 00:13:03,240 --> 00:13:06,880 Speaker 1: Trump twenty twenty four voters agree with that. For Harris 230 00:13:06,880 --> 00:13:09,839 Speaker 1: twenty twenty four voters, only twenty eight percent believe this 231 00:13:09,920 --> 00:13:14,520 Speaker 1: is key new voters for twenty twenty four, this is 232 00:13:14,880 --> 00:13:18,679 Speaker 1: new voters, only eighteen percent. 233 00:13:18,640 --> 00:13:19,440 Speaker 5: Of new voters. 234 00:13:19,440 --> 00:13:22,320 Speaker 1: So those are those new low prop voters who are 235 00:13:22,360 --> 00:13:25,520 Speaker 1: coming into the system getting involved in twenty twenty four 236 00:13:25,559 --> 00:13:28,680 Speaker 1: for the first time, only eighteen percent of them believe 237 00:13:28,760 --> 00:13:32,560 Speaker 1: that no list exists. When you go to Independence, obviously 238 00:13:32,600 --> 00:13:35,840 Speaker 1: a larger group that's twenty seven percent. 239 00:13:36,080 --> 00:13:37,959 Speaker 5: And so you're just seeing this. 240 00:13:38,080 --> 00:13:44,840 Speaker 1: Across the board. As well as as well as with 241 00:13:45,280 --> 00:13:54,160 Speaker 1: let's see here coming down. Voters agree versus disagree, Voters 242 00:13:54,160 --> 00:13:57,440 Speaker 1: agree versus disagree. You're seeing the exact same thing. Voter 243 00:13:57,559 --> 00:14:01,960 Speaker 1: groups agree disagree. Twenty twenty five voters, sixty seven percent 244 00:14:02,360 --> 00:14:05,600 Speaker 1: disagree with this decision on the Epstein list. 245 00:14:06,200 --> 00:14:08,360 Speaker 5: For Harris voters, fifty eight percent agree. 246 00:14:08,400 --> 00:14:10,400 Speaker 1: So for the first time you see Trump supporters and 247 00:14:10,520 --> 00:14:15,080 Speaker 1: Harris supporters actually agreeing on the same thing. Then when 248 00:14:15,080 --> 00:14:18,840 Speaker 1: it comes to new voters, seventy two percent disagree, independent 249 00:14:18,960 --> 00:14:20,200 Speaker 1: sixty percent disagree. 250 00:14:20,680 --> 00:14:22,440 Speaker 5: Interestingly enough, it. 251 00:14:22,360 --> 00:14:26,000 Speaker 1: Is upper class voters are split forty eight forty eight 252 00:14:26,040 --> 00:14:29,880 Speaker 1: agreed disagree. That is the only group for which there 253 00:14:29,920 --> 00:14:34,560 Speaker 1: exists a split down the middle is the highest support 254 00:14:34,720 --> 00:14:38,920 Speaker 1: for keeping the list secret. Middle class forty four percent. 255 00:14:39,000 --> 00:14:42,840 Speaker 1: Working class all the way down at twenty six percent. Folks, 256 00:14:43,080 --> 00:14:45,000 Speaker 1: this is a story that when you're looking at the 257 00:14:45,000 --> 00:14:48,240 Speaker 1: polling for it is really tells the tale. 258 00:14:48,280 --> 00:14:50,360 Speaker 5: Jack Withsobac King, the Events Daily will be right back. 259 00:15:00,120 --> 00:15:03,280 Speaker 7: You know that you talk about influencers, These are influences 260 00:15:03,880 --> 00:15:18,680 Speaker 7: and they're friends of mine. Jack, Jack, all. 261 00:15:14,640 --> 00:15:18,480 Speaker 1: Right, Jack Pisowick, we are back live here. Human Events 262 00:15:18,560 --> 00:15:23,120 Speaker 1: Daily in Washington d C. But what I want to 263 00:15:23,160 --> 00:15:25,840 Speaker 1: do also because we're waiting for President Trumna. 264 00:15:25,920 --> 00:15:27,200 Speaker 5: He was originally slated. 265 00:15:26,920 --> 00:15:29,800 Speaker 1: To speak in just ten minutes time at this AI 266 00:15:29,960 --> 00:15:33,920 Speaker 1: conference there in Pittsburgh, Pennsylvania. That's been pushed shifted to 267 00:15:33,960 --> 00:15:36,520 Speaker 1: the right just a little bit. But remember, of course, 268 00:15:37,040 --> 00:15:39,480 Speaker 1: the president always is never late. The president is always 269 00:15:39,480 --> 00:15:42,320 Speaker 1: on time. But we've got Real America's Voice correspondent Michelle 270 00:15:42,320 --> 00:15:45,040 Speaker 1: backus there on the ground in Pittsburgh to give us 271 00:15:45,040 --> 00:15:45,440 Speaker 1: an update. 272 00:15:45,480 --> 00:15:50,400 Speaker 5: Michelle, tell us what is going on, Jack, A. 273 00:15:50,320 --> 00:15:52,960 Speaker 3: Bit of breaking in definitely exciting news. 274 00:15:53,040 --> 00:15:55,240 Speaker 12: This morning, we were told that there'd be about seventy 275 00:15:55,320 --> 00:15:58,680 Speaker 12: billion dollars worth of new investment here in the Keystone State. 276 00:15:58,720 --> 00:16:01,600 Speaker 12: Harverd Centator McCormick just announce a little bit ago that 277 00:16:01,720 --> 00:16:05,840 Speaker 12: number actually now ninety billion dollars worth of new investment 278 00:16:05,920 --> 00:16:09,600 Speaker 12: here in Pennsylvania. This comes as the AI summit is 279 00:16:09,640 --> 00:16:12,440 Speaker 12: happening right behind me. You can see here the rum 280 00:16:12,600 --> 00:16:15,600 Speaker 12: is packed as everyone is awaiting President Trump. You mentioned 281 00:16:15,640 --> 00:16:17,440 Speaker 12: that he was supposed to speak in just a little 282 00:16:17,480 --> 00:16:20,640 Speaker 12: bit that time now getting pushed back as there's only 283 00:16:20,720 --> 00:16:24,320 Speaker 12: standing room in this building waiting to hear that announcement 284 00:16:24,440 --> 00:16:28,080 Speaker 12: really exciting news for Pennsylvanians, especially including you and I Jack. 285 00:16:30,400 --> 00:16:31,280 Speaker 5: Well, that is huge. 286 00:16:31,280 --> 00:16:34,800 Speaker 1: So is there any idea, you know, what types of 287 00:16:34,920 --> 00:16:37,160 Speaker 1: jobs that's going to translate over to. I mean, I 288 00:16:37,200 --> 00:16:40,680 Speaker 1: remember being out there on the campaign trail. People you know, 289 00:16:40,840 --> 00:16:44,840 Speaker 1: Carnegie Mellon graduates, we're talking about this. People in Southwest Pa, 290 00:16:44,880 --> 00:16:46,720 Speaker 1: we're talking about this. Actually went to that event that 291 00:16:47,480 --> 00:16:49,560 Speaker 1: Elon Musk held out there and this was a huge 292 00:16:49,560 --> 00:16:50,480 Speaker 1: topic of discussion. 293 00:16:53,160 --> 00:16:53,400 Speaker 6: Yeah. 294 00:16:53,440 --> 00:16:55,400 Speaker 12: So it's going to be a lot of data centers 295 00:16:55,440 --> 00:16:58,440 Speaker 12: and AI investments. So a lot of investment coming from 296 00:16:58,520 --> 00:17:01,680 Speaker 12: other companies poring into the Pittsburgh and ultimately the Pennsylvania 297 00:17:01,720 --> 00:17:02,520 Speaker 12: area as well. 298 00:17:02,600 --> 00:17:03,160 Speaker 3: This is an. 299 00:17:03,520 --> 00:17:06,680 Speaker 12: Abundant area for data centers to be built. Again, that's 300 00:17:06,720 --> 00:17:09,840 Speaker 12: what's ultimately going to power those AI chips and power 301 00:17:09,840 --> 00:17:10,440 Speaker 12: the AI. 302 00:17:10,320 --> 00:17:11,439 Speaker 3: Revolution as well. 303 00:17:11,760 --> 00:17:13,600 Speaker 12: You're going to see a lot of new jobs here 304 00:17:13,640 --> 00:17:16,480 Speaker 12: and investment in that sense. There are over sixty CEOs 305 00:17:16,480 --> 00:17:20,920 Speaker 12: here for major companies including Larry Fink, black Rock, Blackstone, 306 00:17:21,000 --> 00:17:23,920 Speaker 12: Exxon Mobile, you had Google, you also had Meta here 307 00:17:24,000 --> 00:17:24,600 Speaker 12: as well. 308 00:17:25,080 --> 00:17:28,360 Speaker 3: It's a pretty big investment you have to consider as well. 309 00:17:28,400 --> 00:17:31,760 Speaker 12: Pittsburgh especially was in the middle of the industrial Revolution. 310 00:17:31,800 --> 00:17:34,960 Speaker 12: Now we're seeing another industrial revolution in the AI front, 311 00:17:35,320 --> 00:17:37,960 Speaker 12: and a lot of leaders around the country hoping for 312 00:17:38,200 --> 00:17:39,240 Speaker 12: their chance. 313 00:17:39,000 --> 00:17:41,440 Speaker 3: To have the Silicon Valley of the East. 314 00:17:41,520 --> 00:17:43,600 Speaker 12: Nonetheless, though, many people saying that it's going to be 315 00:17:43,720 --> 00:17:46,679 Speaker 12: right here in Pittsburgh, especially as they look to develop 316 00:17:46,720 --> 00:17:49,719 Speaker 12: more AI technology here and build those data centers as 317 00:17:49,720 --> 00:17:51,760 Speaker 12: well to house the development needed. 318 00:17:53,400 --> 00:17:55,320 Speaker 5: And Michelle, can you run us down some of the 319 00:17:55,960 --> 00:17:56,399 Speaker 5: names or. 320 00:17:56,400 --> 00:17:59,760 Speaker 1: Some of the companies that are expected to be there today. 321 00:18:01,000 --> 00:18:04,200 Speaker 12: Exon Mobile, We also have Larry Fink. We have black 322 00:18:04,320 --> 00:18:07,240 Speaker 12: Rock and Blackstone. We also had a panel that was 323 00:18:07,280 --> 00:18:11,200 Speaker 12: actually moderated by Google Alphabet CEO as well. You also 324 00:18:11,240 --> 00:18:13,800 Speaker 12: have members from President Trump's cabinet that are going to 325 00:18:13,800 --> 00:18:17,480 Speaker 12: be here, Doug Bergham, even have David Sachs, the cryptos 326 00:18:17,520 --> 00:18:20,160 Speaker 12: are that's going to be here, So a long list 327 00:18:20,160 --> 00:18:20,480 Speaker 12: of people. 328 00:18:20,560 --> 00:18:22,359 Speaker 3: You have foreign investment as well. 329 00:18:22,600 --> 00:18:25,840 Speaker 12: Everyone has eyes right now on Pittsburgh, Pennsylvania. And this 330 00:18:25,960 --> 00:18:29,280 Speaker 12: comes especially as you look at the energy rich resources 331 00:18:29,320 --> 00:18:31,520 Speaker 12: of this state. I mean, we're the second largest producer 332 00:18:31,560 --> 00:18:34,280 Speaker 12: of natural gas in the country behind Texas third and 333 00:18:34,359 --> 00:18:36,480 Speaker 12: coal mining abundant lands. 334 00:18:36,480 --> 00:18:39,000 Speaker 3: We're also looking at nuclear capabilities as well. 335 00:18:39,240 --> 00:18:41,800 Speaker 12: This really is a rebirth I would say, of a 336 00:18:41,840 --> 00:18:44,960 Speaker 12: city that a lot of areas are run down, dilapidated 337 00:18:45,200 --> 00:18:47,320 Speaker 12: after many steel mills close down I'd say in the 338 00:18:47,359 --> 00:18:50,119 Speaker 12: mid nineteen seventies. Now there's a chance for that to 339 00:18:50,200 --> 00:18:52,760 Speaker 12: pick back up. And nonetheless, it's happening here at Carnegie 340 00:18:52,800 --> 00:18:55,920 Speaker 12: Mellon University, which if you know anything about Carnegie Mellon, 341 00:18:56,119 --> 00:19:00,520 Speaker 12: it's a stem hub. Extremely smart people coming here, innovating 342 00:19:00,560 --> 00:19:01,760 Speaker 12: tech for the future. 343 00:19:01,800 --> 00:19:02,639 Speaker 3: I want to take a look. 344 00:19:02,560 --> 00:19:04,879 Speaker 12: Right behind you, too, Jack, so you can see just 345 00:19:04,960 --> 00:19:05,840 Speaker 12: how important this. 346 00:19:05,880 --> 00:19:07,320 Speaker 3: Is because this room. 347 00:19:07,480 --> 00:19:09,560 Speaker 12: Again, the President isn't set to speak here for i 348 00:19:09,560 --> 00:19:12,000 Speaker 12: would say another hour and a half, but this room 349 00:19:12,080 --> 00:19:13,840 Speaker 12: is packed, standing room only. 350 00:19:13,960 --> 00:19:16,359 Speaker 3: People really getting in. You're early to ensure they have 351 00:19:16,440 --> 00:19:16,720 Speaker 3: to see. 352 00:19:16,760 --> 00:19:20,240 Speaker 12: You can see the panel up there, Pennsylvania Energy and 353 00:19:20,320 --> 00:19:21,399 Speaker 12: Innovation Summit. 354 00:19:21,440 --> 00:19:24,080 Speaker 3: This also comes hand in hand as Senate. 355 00:19:23,880 --> 00:19:27,160 Speaker 12: Bill nine point thirty nine was introduced by Senate Republicans 356 00:19:27,160 --> 00:19:30,720 Speaker 12: to help fast track that AI development and make it 357 00:19:30,760 --> 00:19:34,280 Speaker 12: easier for companies to create that development here in the 358 00:19:34,320 --> 00:19:35,119 Speaker 12: Keystone State. 359 00:19:38,920 --> 00:19:41,640 Speaker 1: So you know, it's interesting that you mentioned energy, by 360 00:19:41,680 --> 00:19:44,520 Speaker 1: the way, because the fact that western Pennsylvania is such 361 00:19:44,560 --> 00:19:47,200 Speaker 1: an energy nexus when they talk about AI. One of 362 00:19:47,240 --> 00:19:50,359 Speaker 1: the biggest issues that I always here associated with this 363 00:19:50,640 --> 00:19:54,359 Speaker 1: is energy generation and the fact that these data centers, 364 00:19:54,359 --> 00:19:58,040 Speaker 1: these power centers are going to require so much energy 365 00:19:58,400 --> 00:20:01,040 Speaker 1: to be able to be run. And I wonder if 366 00:20:01,040 --> 00:20:03,440 Speaker 1: that's going to be part of the topic of discussion. 367 00:20:03,480 --> 00:20:06,359 Speaker 1: Obviously Crypto this play is right involved with that, the 368 00:20:06,400 --> 00:20:08,359 Speaker 1: same idea, you need these huge data centers to be 369 00:20:08,359 --> 00:20:10,800 Speaker 1: able to run this stuff. So I wonder do you 370 00:20:10,800 --> 00:20:13,800 Speaker 1: think there's going to be any discussion of that nexus. 371 00:20:14,040 --> 00:20:17,680 Speaker 1: Probably that's why Doug Bergen would be there, just between 372 00:20:17,880 --> 00:20:21,480 Speaker 1: the energy and the data creation power that you're supply 373 00:20:21,560 --> 00:20:21,919 Speaker 1: that you're. 374 00:20:21,760 --> 00:20:22,200 Speaker 5: Going to need. 375 00:20:24,480 --> 00:20:26,840 Speaker 12: Yeah, that's actually going to be a central point, and 376 00:20:26,880 --> 00:20:28,600 Speaker 12: I think it's going to be hit on, especially up 377 00:20:28,640 --> 00:20:29,520 Speaker 12: here on this stage. 378 00:20:29,560 --> 00:20:31,800 Speaker 3: But you think about how Pennsylvania's positioned. 379 00:20:31,840 --> 00:20:34,320 Speaker 12: In Pittsburgh as well, we're surrounded by rivers, we have 380 00:20:34,400 --> 00:20:38,159 Speaker 12: abundant land, we have the capabilities for nuclear facilities, we 381 00:20:38,240 --> 00:20:39,800 Speaker 12: have the capability to use water. 382 00:20:40,119 --> 00:20:42,040 Speaker 3: And also you look at the energy exporters. 383 00:20:42,080 --> 00:20:45,520 Speaker 12: We are the second largest natural gas exporter behind Texas, 384 00:20:45,520 --> 00:20:48,080 Speaker 12: one of the largest in the one of I would 385 00:20:48,119 --> 00:20:51,520 Speaker 12: say top five to ten in the nation or not 386 00:20:51,600 --> 00:20:54,959 Speaker 12: the nation in the world. Nonetheless, though you look at 387 00:20:55,000 --> 00:20:57,640 Speaker 12: all of those things coming together, this is a good 388 00:20:57,680 --> 00:21:00,760 Speaker 12: area in which you can build those data because keep 389 00:21:00,800 --> 00:21:04,040 Speaker 12: in mind, even remember when the CEO of chat GPC said, 390 00:21:04,119 --> 00:21:08,040 Speaker 12: stop using manners when you're using the algorithm because it 391 00:21:08,160 --> 00:21:12,119 Speaker 12: takes so much energy just for one user to use AI. 392 00:21:12,280 --> 00:21:14,200 Speaker 12: So that's why it's going to be especially important to 393 00:21:14,240 --> 00:21:17,560 Speaker 12: build out that infrastructure because look, AI isn't going anywhere. 394 00:21:17,680 --> 00:21:20,040 Speaker 3: I think we all know that it's only going to increase. 395 00:21:20,160 --> 00:21:23,080 Speaker 12: So it's an important thing here to adapt and be 396 00:21:23,200 --> 00:21:25,760 Speaker 12: ready for it rather than run from it. That's going 397 00:21:25,800 --> 00:21:27,720 Speaker 12: to be a key point here that they're going to 398 00:21:27,720 --> 00:21:28,600 Speaker 12: be talking about today. 399 00:21:29,400 --> 00:21:31,679 Speaker 1: All right, Michelle, Now I got to ask, because you know, 400 00:21:31,760 --> 00:21:35,360 Speaker 1: everyone knows my favorite governor and all of the United States, 401 00:21:35,520 --> 00:21:38,560 Speaker 1: probably my favorite politician in the entire world, of course, 402 00:21:38,800 --> 00:21:42,000 Speaker 1: is Governor Josh Shapiro, Little Josh Shapiro, five foot three 403 00:21:42,280 --> 00:21:46,560 Speaker 1: out of Harrisburg, Pennsylvania. Got to ask with all of 404 00:21:46,600 --> 00:21:50,560 Speaker 1: the focus on Pennsylvania, with all of the corporate innovation 405 00:21:50,760 --> 00:21:52,359 Speaker 1: that's there, even some of the corporations I'm not a 406 00:21:52,440 --> 00:21:54,440 Speaker 1: huge fan of, like black Rock and Blackstone are there 407 00:21:54,840 --> 00:21:56,680 Speaker 1: is Josh Shapiro in attendance. 408 00:21:56,720 --> 00:21:58,639 Speaker 5: Have you spotted him? You might have to, you know, 409 00:21:58,680 --> 00:22:00,480 Speaker 5: crouch down a little bit to see him. 410 00:22:03,000 --> 00:22:06,040 Speaker 3: Oh you mean your best friend, right, Well, I can 411 00:22:06,080 --> 00:22:07,840 Speaker 3: tell you I haven't seen him yet, but I am 412 00:22:07,920 --> 00:22:09,320 Speaker 3: told that he is here. 413 00:22:09,400 --> 00:22:13,480 Speaker 12: You also see Senator John Fetterman that is applauding this 414 00:22:13,640 --> 00:22:16,480 Speaker 12: and participating as well. And look, John Fetterman got his 415 00:22:16,560 --> 00:22:19,560 Speaker 12: start in politics by being mayor Bradock. Braddock is one 416 00:22:19,560 --> 00:22:22,760 Speaker 12: of those abandoned steel towns outside of Pittsburgh that was 417 00:22:22,960 --> 00:22:26,159 Speaker 12: completely dilapidated once the steel mails left, and he tried 418 00:22:26,480 --> 00:22:28,480 Speaker 12: to revamp that and ultimately I don't know how he 419 00:22:28,520 --> 00:22:30,680 Speaker 12: got to the Senate, but somehow that shows you where 420 00:22:30,680 --> 00:22:33,879 Speaker 12: the Democrats are at. Nonetheless, though I really can't understand 421 00:22:33,920 --> 00:22:36,640 Speaker 12: how this couldn't be a bypartisan issue, Center McCormick said 422 00:22:36,640 --> 00:22:40,760 Speaker 12: he's welcome to working with anyone on either side because 423 00:22:40,800 --> 00:22:42,000 Speaker 12: it's all about bringing. 424 00:22:41,800 --> 00:22:43,840 Speaker 3: The economy and industries. 425 00:22:43,280 --> 00:22:46,879 Speaker 12: Back to Pennsylvania. We have so many opportunities, including. 426 00:22:46,480 --> 00:22:48,439 Speaker 3: Our workforce as well, to do that. 427 00:22:48,640 --> 00:22:51,879 Speaker 12: So really, if you aren't on board with this, I 428 00:22:51,920 --> 00:22:55,320 Speaker 12: really can't imagine that you're rooting for your state in general. 429 00:22:55,400 --> 00:22:57,240 Speaker 3: But I haven't seen your best friend yet. 430 00:22:57,320 --> 00:22:57,480 Speaker 10: Jack. 431 00:22:57,800 --> 00:22:59,760 Speaker 3: If I do see him though here today, I'll make 432 00:22:59,760 --> 00:23:01,080 Speaker 3: sure to tell him you said hi. 433 00:23:02,720 --> 00:23:05,720 Speaker 1: Please do And maybe maybe Senator Fetterman can pot Jos 434 00:23:05,720 --> 00:23:08,520 Speaker 1: Shapiro up on his giant you know, bigfoot shoulders there 435 00:23:08,560 --> 00:23:09,640 Speaker 1: so we could look over the crowd. 436 00:23:09,680 --> 00:23:11,720 Speaker 5: Michelle, we got a run. We're just about out of time. 437 00:23:11,760 --> 00:23:14,360 Speaker 5: But well, I'm sure real Marcus voice will come right 438 00:23:14,400 --> 00:23:17,359 Speaker 5: back to you as soon as it starts. Folks, are 439 00:23:17,440 --> 00:23:18,800 Speaker 5: right back Human Events Dale. 440 00:23:29,359 --> 00:23:36,240 Speaker 6: Jack, Where's Jack? Where's Jack? Worriessy Jack? I want to 441 00:23:36,280 --> 00:23:41,760 Speaker 6: see you. Great job, Jack, Thank you, what a job 442 00:23:41,880 --> 00:23:43,920 Speaker 6: you do. You know, we have an incredible thing. 443 00:23:43,960 --> 00:23:45,440 Speaker 5: We're always talking about the fake. 444 00:23:45,320 --> 00:23:48,240 Speaker 10: News and the band, but we have guys, and these 445 00:23:48,240 --> 00:23:49,760 Speaker 10: are the guys you're forgetting. 446 00:23:49,359 --> 00:23:54,840 Speaker 1: Policies, all right, Jack Pacobic Here we are live Human 447 00:23:54,880 --> 00:23:57,600 Speaker 1: Events Daily. Now, folks, we are waiting for President Trump 448 00:23:57,640 --> 00:24:00,879 Speaker 1: to begin that AI conference up there in Pittsburgh. But 449 00:24:00,960 --> 00:24:03,960 Speaker 1: while we do have a couple more interviews that we 450 00:24:04,040 --> 00:24:07,280 Speaker 1: snagged while on the sidelines of Turning Point Student Action 451 00:24:07,400 --> 00:24:11,080 Speaker 1: Summit down in Tampa, and was very honored to actually 452 00:24:11,320 --> 00:24:14,960 Speaker 1: sit down with Senator Bernie Moreno of the Great State 453 00:24:15,000 --> 00:24:15,600 Speaker 1: of Idaho. 454 00:24:15,840 --> 00:24:18,560 Speaker 5: Excuse me, the Great state of Ohio. I'm gonna throw 455 00:24:18,600 --> 00:24:21,640 Speaker 5: to that now, all. 456 00:24:21,640 --> 00:24:24,920 Speaker 1: Right, Jack Sobakir Human events daily on the sidelines of 457 00:24:24,960 --> 00:24:28,600 Speaker 1: the Turning Point Student Action. What an incredible success. And 458 00:24:28,680 --> 00:24:31,359 Speaker 1: it's only because of such a great success, because of 459 00:24:31,440 --> 00:24:33,760 Speaker 1: the support of so many people out there who have 460 00:24:33,840 --> 00:24:36,800 Speaker 1: come to visit. And then also that's what's attracted such 461 00:24:37,040 --> 00:24:40,080 Speaker 1: high level and high profile individuals such as our guest 462 00:24:40,200 --> 00:24:42,840 Speaker 1: right here, Senator Bernie Morena from the Great State of Ohio. 463 00:24:42,800 --> 00:24:45,560 Speaker 1: That's so much thanks to having back on the show, Senator. 464 00:24:45,880 --> 00:24:50,399 Speaker 1: Now President Trump. You know they say presidencies, they only 465 00:24:50,480 --> 00:24:52,800 Speaker 1: really get, you know, maybe one, maybe. 466 00:24:52,520 --> 00:24:54,399 Speaker 5: Two signature pieces of legislation. 467 00:24:54,720 --> 00:24:58,040 Speaker 1: The Trump tax cuts were the one the first time around. 468 00:24:58,320 --> 00:25:02,040 Speaker 1: This time around, it's the big beautiful bill which enshrines 469 00:25:02,119 --> 00:25:04,719 Speaker 1: the text cuts, but it goes a bit further. One 470 00:25:04,760 --> 00:25:07,280 Speaker 1: of the things that our audience has been really focused on, 471 00:25:07,320 --> 00:25:10,560 Speaker 1: like a laser beam, is this ice budget. We say 472 00:25:10,640 --> 00:25:14,199 Speaker 1: this essentially twenty x's the ice budget. You've been a 473 00:25:14,280 --> 00:25:17,840 Speaker 1: champion for the BBB. Tell us why was it so 474 00:25:17,920 --> 00:25:21,560 Speaker 1: important to give ice that funding? The left, of course 475 00:25:21,640 --> 00:25:24,639 Speaker 1: went absolutely bonkers, and I said, wow, you guys are 476 00:25:24,680 --> 00:25:27,560 Speaker 1: the best salesman for this thing because of how nuts 477 00:25:27,560 --> 00:25:29,320 Speaker 1: they went. I said, wait a minute, you guys are 478 00:25:29,320 --> 00:25:31,320 Speaker 1: turning ICE into a budget that's, you know, higher than 479 00:25:31,359 --> 00:25:34,240 Speaker 1: any law enforcement agency in the country. 480 00:25:34,240 --> 00:25:36,840 Speaker 5: And I said, really, quite frankly, it's it's needed. 481 00:25:36,880 --> 00:25:39,440 Speaker 1: But walk us through some of those deliberations and why 482 00:25:39,480 --> 00:25:40,800 Speaker 1: you came out so strongly for it. 483 00:25:40,920 --> 00:25:42,520 Speaker 13: Yeah, I know, absolutely, Well, look you got it. We've 484 00:25:42,520 --> 00:25:46,000 Speaker 13: got to remember because it's hard to uh, because we've 485 00:25:46,000 --> 00:25:48,240 Speaker 13: probably put that in a pass what happened during Biden. 486 00:25:48,600 --> 00:25:51,040 Speaker 13: So during Biden, you had millions of people that came 487 00:25:51,080 --> 00:25:53,960 Speaker 13: across our border and Jack as you know, to come 488 00:25:54,000 --> 00:25:56,879 Speaker 13: across the borders pretty darne easy. You've come across the border, 489 00:25:56,880 --> 00:25:58,719 Speaker 13: we don't send you back. They didn't send you back 490 00:25:58,800 --> 00:26:01,800 Speaker 13: during Biden. Across the border. You raise your hand, you 491 00:26:01,840 --> 00:26:04,600 Speaker 13: claim asylum. We gave you an airline ticket, we gave 492 00:26:04,600 --> 00:26:06,600 Speaker 13: you housing, we gave you healthcare, we gave you food, 493 00:26:06,960 --> 00:26:09,400 Speaker 13: like getting the lottery. So it's so easy to get 494 00:26:09,400 --> 00:26:12,320 Speaker 13: people and millions of people now to get people out, 495 00:26:13,119 --> 00:26:17,320 Speaker 13: it's really, really, really hard one to get one human 496 00:26:17,400 --> 00:26:20,040 Speaker 13: being out of this country with all the due process 497 00:26:20,040 --> 00:26:24,400 Speaker 13: that the Democrats expect. It takes multiple people to do it, 498 00:26:25,160 --> 00:26:28,040 Speaker 13: tons of hours of man time that translates into costs. 499 00:26:28,200 --> 00:26:30,720 Speaker 13: We had up until the Big Beautiful Bill, we had 500 00:26:30,760 --> 00:26:32,719 Speaker 13: five thousand ICE agents. 501 00:26:33,200 --> 00:26:34,680 Speaker 6: Tell me how five thousand. 502 00:26:34,400 --> 00:26:37,240 Speaker 5: People across the entire country, the entire United. 503 00:26:37,119 --> 00:26:39,760 Speaker 6: States of America, we had five thousand ICE agents. 504 00:26:40,240 --> 00:26:42,080 Speaker 5: So it's poor, impossible. 505 00:26:41,800 --> 00:26:44,920 Speaker 6: Twenty million people, So tell me how you do that. 506 00:26:45,200 --> 00:26:47,720 Speaker 5: We have cities with larger police forces than that. 507 00:26:47,880 --> 00:26:50,000 Speaker 13: By the way, the Capitol Police has more than five thousand. 508 00:26:50,200 --> 00:26:52,880 Speaker 13: I'm sure they do, right, So it's impossible. And then 509 00:26:53,160 --> 00:26:56,320 Speaker 13: make it even worse these sanctuary cities when they arrest 510 00:26:56,400 --> 00:26:59,160 Speaker 13: and illegal rather than say hey, this guy's in our jail, 511 00:26:59,280 --> 00:27:01,880 Speaker 13: come get them so that one person can go get 512 00:27:01,880 --> 00:27:04,960 Speaker 13: that one criminal, they would set that person free. 513 00:27:05,240 --> 00:27:07,280 Speaker 6: So now you need a team of people. 514 00:27:07,520 --> 00:27:11,520 Speaker 13: And cars and back up and investigations to go get 515 00:27:11,520 --> 00:27:12,080 Speaker 13: that one person. 516 00:27:12,119 --> 00:27:13,840 Speaker 1: Well, and when you take out and that's that's the 517 00:27:13,840 --> 00:27:16,160 Speaker 1: ICE detainer. When you take that out of the system, 518 00:27:16,440 --> 00:27:20,720 Speaker 1: what you're doing is you're you're drastically increasing the risk 519 00:27:21,000 --> 00:27:24,359 Speaker 1: to those agents and quite frankly, possibly to anyone else 520 00:27:24,359 --> 00:27:26,720 Speaker 1: in the community where they might be living because you 521 00:27:26,760 --> 00:27:29,120 Speaker 1: don't know if someone's going to be armed, you don't 522 00:27:29,160 --> 00:27:30,280 Speaker 1: know in many cases they are. 523 00:27:30,840 --> 00:27:33,640 Speaker 5: You don't know what is going to be facing those agents. 524 00:27:33,640 --> 00:27:36,359 Speaker 1: And we just saw uh, you know, a couple of 525 00:27:36,400 --> 00:27:38,600 Speaker 1: days ago here in Los Angeles where they were taking 526 00:27:38,640 --> 00:27:42,320 Speaker 1: shots at ICE agents conducting an enforcement activity. So it's 527 00:27:42,359 --> 00:27:45,880 Speaker 1: so much safer, by the way, even for the individual 528 00:27:45,960 --> 00:27:49,280 Speaker 1: being detained in a situation like that than to put 529 00:27:49,280 --> 00:27:52,200 Speaker 1: them in another situation. And yet these these sanctuary cities, 530 00:27:52,200 --> 00:27:54,520 Speaker 1: which and by the way, my hometown was turned into 531 00:27:54,560 --> 00:27:58,480 Speaker 1: a sanctuary city in Pennsylvania years ago, and it's it's 532 00:27:58,520 --> 00:28:01,960 Speaker 1: just completely been been lost, so completely lost. So I 533 00:28:02,119 --> 00:28:05,639 Speaker 1: see what this does to towns, but it's also something 534 00:28:05,680 --> 00:28:07,880 Speaker 1: where you're seeing the effect on the officers as well. 535 00:28:08,080 --> 00:28:10,000 Speaker 13: Yeah, and let me just we have to remember why 536 00:28:10,040 --> 00:28:12,080 Speaker 13: this matters so much. Yes, it's not just that you 537 00:28:12,080 --> 00:28:14,920 Speaker 13: have people that broke into our country. That is offensive enough, 538 00:28:15,200 --> 00:28:17,520 Speaker 13: but it's driven up our home prices, driven up our 539 00:28:17,520 --> 00:28:20,840 Speaker 13: card prices, our insurance prices, made our cities dangerous, and 540 00:28:20,880 --> 00:28:22,920 Speaker 13: it lowered drastically American wages. 541 00:28:23,240 --> 00:28:24,280 Speaker 6: So we have to reverse that. 542 00:28:24,320 --> 00:28:28,080 Speaker 13: So we got to do is also remember that human trafficking, 543 00:28:28,600 --> 00:28:32,960 Speaker 13: sex trafficking, child trafficking, and drug trafficking are money laundering. 544 00:28:33,200 --> 00:28:38,960 Speaker 13: Is now all one criminal enterprise that's hiding behind front 545 00:28:38,960 --> 00:28:42,760 Speaker 13: companies and what looks to be legitimate businesses. That's really 546 00:28:42,840 --> 00:28:45,320 Speaker 13: hard for ICE to go after. So we had to 547 00:28:45,320 --> 00:28:47,240 Speaker 13: give them the resources. It's going to take a while, 548 00:28:47,600 --> 00:28:49,440 Speaker 13: but it's the most important thing we got going. But 549 00:28:49,520 --> 00:28:51,920 Speaker 13: here's the good use. There's nobody else coming in. The 550 00:28:51,960 --> 00:28:55,800 Speaker 13: faucets stopped, the bleeding has ended. We've had zero paroles 551 00:28:56,080 --> 00:28:58,560 Speaker 13: into America last month, zero jackets. 552 00:28:58,600 --> 00:28:59,840 Speaker 6: Do you imagine if I was on. 553 00:28:59,800 --> 00:29:02,400 Speaker 13: Your show last year a year ago, I said, right, 554 00:29:02,640 --> 00:29:04,240 Speaker 13: Trump is going to get it so that not one 555 00:29:04,360 --> 00:29:06,280 Speaker 13: human being is released in America. 556 00:29:06,360 --> 00:29:07,800 Speaker 6: So that's impossible, said, we'll send it. 557 00:29:07,960 --> 00:29:09,360 Speaker 5: I mean, I'm sure he'll do a lot, but you 558 00:29:09,360 --> 00:29:10,520 Speaker 5: know he's not gonna get this zero. 559 00:29:10,640 --> 00:29:14,920 Speaker 13: This's not it's not impossible, or bring encounters down by 560 00:29:15,040 --> 00:29:17,520 Speaker 13: ninety five percent right in the first six months. 561 00:29:17,360 --> 00:29:19,200 Speaker 6: And that's before we gave him the money. 562 00:29:19,480 --> 00:29:23,120 Speaker 13: Now, with the money, we're gonna as Hockeen Jefferies would say, 563 00:29:23,240 --> 00:29:24,800 Speaker 13: we've turbo charge yaffort. 564 00:29:25,680 --> 00:29:28,240 Speaker 1: Say you have Iceland steroids, Yes we are, Yes, yes, 565 00:29:28,280 --> 00:29:30,920 Speaker 1: we are yes selling the bill and to your point, 566 00:29:31,000 --> 00:29:34,440 Speaker 1: to your point as well on on how it's become 567 00:29:34,560 --> 00:29:36,840 Speaker 1: one enterprise is Gavin Newsom. 568 00:29:36,880 --> 00:29:39,520 Speaker 5: I'm sure you saw Gavin Newsom when when. 569 00:29:39,440 --> 00:29:43,000 Speaker 1: They conducted this raid out in California and they were 570 00:29:43,000 --> 00:29:44,520 Speaker 1: going to I turned out it was a cannabis for 571 00:29:44,520 --> 00:29:46,640 Speaker 1: a couple of cannabis farms and they were going after 572 00:29:47,080 --> 00:29:50,160 Speaker 1: the workers, and Gavin Newsom said, hey, you can't use 573 00:29:50,200 --> 00:29:51,160 Speaker 1: tear gas down there. 574 00:29:51,360 --> 00:29:52,360 Speaker 5: There's kids in there. 575 00:29:53,520 --> 00:29:56,440 Speaker 1: H Wait a minute, what are what are miners doing 576 00:29:56,560 --> 00:29:59,960 Speaker 1: working on a field cannabis field? Okay, it's legland, California, whatever, 577 00:30:00,280 --> 00:30:02,440 Speaker 1: But the point is why are their miners working there? 578 00:30:03,040 --> 00:30:05,520 Speaker 5: And it turned out the miners, I believe because I 579 00:30:05,520 --> 00:30:07,480 Speaker 5: saw DJs put out that they turn out to. 580 00:30:07,560 --> 00:30:10,320 Speaker 1: Also be illegals. And I think that speaks to the 581 00:30:10,400 --> 00:30:13,200 Speaker 1: truth of what you're saying. This is an operation. 582 00:30:13,640 --> 00:30:13,840 Speaker 5: Well. 583 00:30:13,880 --> 00:30:16,480 Speaker 13: Also, by the way, as somebody who's a legal immigrant 584 00:30:16,520 --> 00:30:19,280 Speaker 13: to this country from South America, imagine they say, well, 585 00:30:19,280 --> 00:30:22,440 Speaker 13: who's going to pick our crops? That's the same argument 586 00:30:22,480 --> 00:30:26,520 Speaker 13: that was made during slavery Jackuess, Right, Look, they say, well, 587 00:30:26,520 --> 00:30:29,120 Speaker 13: Americans won't do this work. They don't finish the sentence. 588 00:30:29,400 --> 00:30:31,880 Speaker 13: They won't do this work for that wage and those 589 00:30:31,960 --> 00:30:35,280 Speaker 13: working conditions, right, because yes, we don't allow fourteen year 590 00:30:35,280 --> 00:30:37,640 Speaker 13: olds to go work ten hours a day in this country. 591 00:30:37,840 --> 00:30:41,280 Speaker 13: And that's a good thing, right. Ironically, we're the party 592 00:30:41,480 --> 00:30:45,360 Speaker 13: that protects workers rights, worker American workers ability to earn 593 00:30:45,400 --> 00:30:47,640 Speaker 13: an income. But when you're competing with people who are 594 00:30:47,680 --> 00:30:51,160 Speaker 13: willing to basically get starvation wages, that's not what we 595 00:30:51,200 --> 00:30:52,480 Speaker 13: don't want to turn America into. 596 00:30:52,520 --> 00:30:52,560 Speaker 10: That. 597 00:30:53,040 --> 00:30:55,360 Speaker 6: So, look, this is a dirty little secret of the Democrats. 598 00:30:55,400 --> 00:30:58,440 Speaker 13: They want a cheap labor for their multimillionaire donors and 599 00:30:59,120 --> 00:30:59,840 Speaker 13: the party's over. 600 00:31:00,200 --> 00:31:02,080 Speaker 6: We're going to restore law and order in this country. 601 00:31:02,240 --> 00:31:04,000 Speaker 13: We're going to stop allowing people to come into this 602 00:31:04,040 --> 00:31:06,520 Speaker 13: country illegally, and the message's going to be very straightforward. 603 00:31:06,840 --> 00:31:09,000 Speaker 13: We'll eventually catch every illegal in this country and to 604 00:31:09,040 --> 00:31:11,440 Speaker 13: port you. That's the message. So either you do it 605 00:31:11,560 --> 00:31:12,800 Speaker 13: voluntarily and. 606 00:31:13,040 --> 00:31:16,000 Speaker 6: Maybe with a big m maybe we give you a 607 00:31:16,040 --> 00:31:18,680 Speaker 6: path to come back in in some sort of legal way. 608 00:31:18,960 --> 00:31:21,560 Speaker 13: But if we put hands on you and to pour you, you, 609 00:31:21,760 --> 00:31:24,760 Speaker 13: your family, anybody ever know will never be allowed into 610 00:31:24,760 --> 00:31:25,400 Speaker 13: this country again. 611 00:31:25,480 --> 00:31:27,240 Speaker 1: Well, in one of the economic forces that you just 612 00:31:27,320 --> 00:31:30,440 Speaker 1: touched on in comparing to slavery. There's a big actual 613 00:31:31,080 --> 00:31:34,400 Speaker 1: similarity here because if you go back in time, the 614 00:31:34,520 --> 00:31:37,640 Speaker 1: cotton gin was invented before the ant eradication of slavery 615 00:31:37,640 --> 00:31:40,840 Speaker 1: in the country, but the reason it wasn't so rapidly 616 00:31:41,080 --> 00:31:44,320 Speaker 1: and widely deployed in the South was because they of 617 00:31:44,560 --> 00:31:49,280 Speaker 1: the laborers they had. It disincentivized industrialization of that process. 618 00:31:49,400 --> 00:31:51,720 Speaker 5: So we have these what do we need any machines for? 619 00:31:52,080 --> 00:31:55,440 Speaker 1: You're seeing the same thing now with automation, because we 620 00:31:55,520 --> 00:31:58,680 Speaker 1: have so many just there's tomato pickers and all sorts 621 00:31:58,720 --> 00:31:59,200 Speaker 1: of machines. 622 00:31:59,200 --> 00:31:59,480 Speaker 5: I see. 623 00:31:59,480 --> 00:32:01,280 Speaker 1: You can go to any farm show you'll see all 624 00:32:01,320 --> 00:32:03,840 Speaker 1: this stuff. But there's a disincentivization that goes on. And 625 00:32:03,920 --> 00:32:05,840 Speaker 1: you're from the business world, you get this. They said, 626 00:32:05,880 --> 00:32:07,920 Speaker 1: what do I need all that? Because that's a capital 627 00:32:07,960 --> 00:32:09,760 Speaker 1: cause now that you don't want to incur and you 628 00:32:09,840 --> 00:32:12,640 Speaker 1: don't have to if you have this massive chief labor force. 629 00:32:12,720 --> 00:32:14,959 Speaker 13: Yeah, if you can bring a bunch of illegals here 630 00:32:15,040 --> 00:32:18,200 Speaker 13: that work for starvation labor and then hand those people 631 00:32:18,240 --> 00:32:20,480 Speaker 13: off to the taxpayer and say you take care of them. 632 00:32:20,680 --> 00:32:23,840 Speaker 13: You cover their healthcare, you cover their education, you cover 633 00:32:23,920 --> 00:32:26,080 Speaker 13: their housing. And then there's Americans going, hey, I'm on 634 00:32:26,200 --> 00:32:29,320 Speaker 13: me right, Like Springfield, Ohio, a town of twenty thirty 635 00:32:29,360 --> 00:32:30,000 Speaker 13: thousand people. 636 00:32:30,200 --> 00:32:31,440 Speaker 5: How is Springfield doing well? 637 00:32:31,520 --> 00:32:32,960 Speaker 6: Look, it's going to be doing a lot better now 638 00:32:33,000 --> 00:32:35,120 Speaker 6: that we're going to get rid of the Haitians. 639 00:32:35,240 --> 00:32:36,240 Speaker 5: So I give it. 640 00:32:36,280 --> 00:32:38,480 Speaker 13: Are our numbers a time of fifty to sixty thousand people, 641 00:32:38,840 --> 00:32:41,720 Speaker 13: eighteen to thirty thousand Haitians coming to that community, of 642 00:32:41,800 --> 00:32:45,800 Speaker 13: which maybe maybe five hundred hid jobs. Maybe, And by 643 00:32:45,800 --> 00:32:48,920 Speaker 13: the way, those five hundred jobs belong to America's first right. 644 00:32:49,360 --> 00:32:51,480 Speaker 13: But now what are the other eighteen twenty thousand people 645 00:32:51,520 --> 00:32:53,760 Speaker 13: doing jack They're on government welfare services. 646 00:32:53,960 --> 00:32:55,320 Speaker 6: That's for American citizens. 647 00:32:55,680 --> 00:32:58,400 Speaker 13: Like, how insane is it that you're an elected official 648 00:32:58,800 --> 00:33:00,960 Speaker 13: that you swore an oath to protect defend this country 649 00:33:01,000 --> 00:33:03,160 Speaker 13: and the people in it, and you're giving away our 650 00:33:03,320 --> 00:33:05,880 Speaker 13: money to people who broke into this country. How many 651 00:33:05,920 --> 00:33:08,800 Speaker 13: people would you house in your uh in your home 652 00:33:09,160 --> 00:33:10,040 Speaker 13: that broke into your house? 653 00:33:10,360 --> 00:33:12,440 Speaker 5: Not a single one? Let us, of course not. 654 00:33:12,680 --> 00:33:13,200 Speaker 6: It's insane. 655 00:33:13,240 --> 00:33:15,120 Speaker 1: Well, and they and then and they play these games, 656 00:33:15,200 --> 00:33:17,920 Speaker 1: and they'll they'll talk about, oh, you know, and and 657 00:33:18,000 --> 00:33:19,080 Speaker 1: the Bible says love. 658 00:33:18,960 --> 00:33:21,800 Speaker 5: Your neighbors as if that's all the Bible says. Think 659 00:33:21,800 --> 00:33:23,640 Speaker 5: there's a little bit more to it there, you know. 660 00:33:23,800 --> 00:33:25,960 Speaker 5: And by the way, I said, here's here's what I say. 661 00:33:26,080 --> 00:33:29,120 Speaker 1: You know, if someone comes here truly, truly and from 662 00:33:29,160 --> 00:33:32,440 Speaker 1: the Christian perspective, Christian I'm a Catholic, right, And if 663 00:33:32,480 --> 00:33:35,920 Speaker 1: someone comes and they're truly starving, of course you feed them, 664 00:33:36,040 --> 00:33:39,080 Speaker 1: some mother taught me. But if someone shows up hundreds 665 00:33:39,080 --> 00:33:42,480 Speaker 1: of people, thousands of people and demands to be fed, no, no, 666 00:33:42,720 --> 00:33:46,120 Speaker 1: that is that is not charity. That is that is forced. 667 00:33:46,400 --> 00:33:48,800 Speaker 1: That is not something we're compelled to do in any way. 668 00:33:48,920 --> 00:33:50,480 Speaker 1: And it's and at the end of the day, it's 669 00:33:50,480 --> 00:33:54,000 Speaker 1: a question of and And actually senator former Senator uh 670 00:33:54,480 --> 00:33:58,080 Speaker 1: jd Vance had Vice President Vans had this the diatribe 671 00:33:58,080 --> 00:34:01,160 Speaker 1: about this of how even to the clients, talked about 672 00:34:01,200 --> 00:34:03,160 Speaker 1: how when it comes to duty, you have a duty 673 00:34:03,240 --> 00:34:05,640 Speaker 1: to your family, you have duty to your community. 674 00:34:05,840 --> 00:34:08,720 Speaker 5: As a senator, you have duty to your constituents. 675 00:34:08,920 --> 00:34:11,040 Speaker 6: First, well, look, you have a family. Of course you 676 00:34:11,120 --> 00:34:11,759 Speaker 6: have to take care of them. 677 00:34:12,440 --> 00:34:15,080 Speaker 13: So how insane would it be if you allowed your 678 00:34:15,160 --> 00:34:18,480 Speaker 13: kids to starve literally and be homeless, but you took 679 00:34:18,520 --> 00:34:19,960 Speaker 13: care of people who broke into your home. 680 00:34:20,440 --> 00:34:23,400 Speaker 6: It's just so illogical. And they say that that's compassion 681 00:34:23,600 --> 00:34:24,600 Speaker 6: It's not compassionate. 682 00:34:24,920 --> 00:34:28,040 Speaker 13: It's actually very cruel to Americans and by the way, 683 00:34:28,160 --> 00:34:29,439 Speaker 13: very cruel to the migrants also. 684 00:34:29,920 --> 00:34:32,759 Speaker 5: And I said, I said this on stage when I spoke. 685 00:34:32,840 --> 00:34:34,920 Speaker 1: I said, look, you know, if we're going to talk 686 00:34:34,920 --> 00:34:37,359 Speaker 1: about anything, it's got to be after the American people 687 00:34:37,400 --> 00:34:37,919 Speaker 1: are made whole. 688 00:34:38,239 --> 00:34:39,120 Speaker 5: American people have to. 689 00:34:39,120 --> 00:34:42,600 Speaker 1: Be made whole first, and the mass deportations continue. 690 00:34:42,920 --> 00:34:45,640 Speaker 5: This is so key. And meanwhile, by the way, when we. 691 00:34:45,680 --> 00:34:48,360 Speaker 1: Look at President Trump's economic plans, talk to us a 692 00:34:48,400 --> 00:34:52,520 Speaker 1: little bit about So the CBO right was of course 693 00:34:53,120 --> 00:34:56,560 Speaker 1: emerged as one of these big opponents. You're going back 694 00:34:56,560 --> 00:34:58,960 Speaker 1: to the legislation saying it's going to tank the economy, 695 00:34:59,000 --> 00:34:59,359 Speaker 1: it's going. 696 00:34:59,239 --> 00:34:59,880 Speaker 5: To destroy everything. 697 00:35:00,480 --> 00:35:02,680 Speaker 1: You got tariffs on one hand, you got the BBB 698 00:35:02,840 --> 00:35:04,360 Speaker 1: on the other, it's going to destroy everything. 699 00:35:04,760 --> 00:35:07,759 Speaker 5: One week after the big beautiful bill is signed, and 700 00:35:07,800 --> 00:35:09,440 Speaker 5: I was at the White House, we got to see 701 00:35:09,480 --> 00:35:09,640 Speaker 5: the B. 702 00:35:09,719 --> 00:35:10,279 Speaker 6: Two is the car. 703 00:35:10,400 --> 00:35:12,120 Speaker 1: Course, I wasn't gonna go down. But then when I 704 00:35:12,160 --> 00:35:13,919 Speaker 1: heard the B two, guy said, I brought the kiss. Okay, 705 00:35:13,920 --> 00:35:14,960 Speaker 1: we're going to go see the B twos. 706 00:35:15,960 --> 00:35:18,279 Speaker 5: You'll appreciate this. My wife goes, so, which one to 707 00:35:18,320 --> 00:35:22,320 Speaker 5: the B twos? Because the baby, you know, it was 708 00:35:22,680 --> 00:35:25,479 Speaker 5: and and and, but thee that all of a sudden 709 00:35:25,520 --> 00:35:26,799 Speaker 5: they come out. I said, we have a surp plus. 710 00:35:27,120 --> 00:35:30,920 Speaker 13: Oh yeah, it wasn't a three point four trillion dollar deficit. 711 00:35:31,160 --> 00:35:33,560 Speaker 13: It's actually if we actually cut it by four hundred billion. 712 00:35:33,719 --> 00:35:36,120 Speaker 13: You mentioned being off by three point eight trillion dollars, 713 00:35:36,280 --> 00:35:37,200 Speaker 13: but here's the headline. 714 00:35:37,800 --> 00:35:39,600 Speaker 6: Look this bill, it's more about that. 715 00:35:39,840 --> 00:35:40,440 Speaker 5: Let's talk about it. 716 00:35:40,480 --> 00:35:43,120 Speaker 13: First of all, we defunded a planned parenthood amazing. Think 717 00:35:43,160 --> 00:35:44,960 Speaker 13: about that for a second, for one year. But it's 718 00:35:44,960 --> 00:35:47,480 Speaker 13: a start. A billion dollars we took out of their budget. 719 00:35:47,760 --> 00:35:50,640 Speaker 13: Number two child tax credit twenty two hundred dollars. If 720 00:35:50,680 --> 00:35:52,120 Speaker 13: it hadn't been for the bill, that would be zero. 721 00:35:52,520 --> 00:35:55,279 Speaker 13: We preserve this standard deduction, no tax on tips, no 722 00:35:55,360 --> 00:35:58,640 Speaker 13: tax on overtime, no tax on Social Security. This is 723 00:35:58,760 --> 00:36:02,760 Speaker 13: the first bill that I know of that actually goes 724 00:36:02,840 --> 00:36:07,480 Speaker 13: to putting American workers hole correct giving them the opportunity. 725 00:36:07,840 --> 00:36:10,080 Speaker 13: So the number, by the way, this will blow your mind. 726 00:36:10,480 --> 00:36:14,320 Speaker 13: The average Ohio family of four will get seventy five hundred. 727 00:36:14,080 --> 00:36:15,839 Speaker 6: Dollars in our pocket as a result of this bill. 728 00:36:16,200 --> 00:36:19,040 Speaker 13: What we got, what we took away was seventy five 729 00:36:19,160 --> 00:36:22,360 Speaker 13: hundred dollars subsidies for millionaires to lease electric vehicles. 730 00:36:22,360 --> 00:36:26,160 Speaker 6: So I love it and buy land and Democrats. 731 00:36:25,960 --> 00:36:28,359 Speaker 13: You could get a check for seventy five hundred dollars 732 00:36:28,400 --> 00:36:30,960 Speaker 13: for the federal government if you lease an electric Porsche, 733 00:36:31,160 --> 00:36:33,600 Speaker 13: it leads to electric rolls Royce. That's a true story. 734 00:36:34,200 --> 00:36:36,880 Speaker 13: People on social media, that's not true. I'm like you say, 735 00:36:37,040 --> 00:36:39,839 Speaker 13: check it. Seventy five hundred bucks for somebody leases six 736 00:36:39,960 --> 00:36:42,680 Speaker 13: hundred thousand dollar rolls Royce. This is now seventy five 737 00:36:42,760 --> 00:36:46,360 Speaker 13: hundred dollars for working Americans that, due to Democrat policies 738 00:36:46,400 --> 00:36:48,359 Speaker 13: over the last four years, couldn't afford to go out deed, 739 00:36:48,440 --> 00:36:51,320 Speaker 13: couldn't afford groceries, couldn't afford rent, couldn't afford across. 740 00:36:51,400 --> 00:36:53,719 Speaker 5: Senator, I know you got to run before you go. 741 00:36:53,840 --> 00:36:54,759 Speaker 5: Ask you a tough question. 742 00:36:55,280 --> 00:36:58,880 Speaker 1: Do you think there's an appetite in the Senate, in 743 00:36:58,920 --> 00:37:02,800 Speaker 1: the Congress in general for another big bill on you know, 744 00:37:02,960 --> 00:37:05,120 Speaker 1: coming through at all? Do you think that that President 745 00:37:05,160 --> 00:37:07,719 Speaker 1: Trump has the capital Do you think it's possible are 746 00:37:07,760 --> 00:37:09,080 Speaker 1: we going to see that before midterms. 747 00:37:09,280 --> 00:37:12,120 Speaker 6: One hundred percent. Fact, I call it the second big 748 00:37:12,160 --> 00:37:14,120 Speaker 6: beautiful Bill. I already have a name. Okay, we're going 749 00:37:14,160 --> 00:37:16,080 Speaker 6: to get it done. We're going to get the tariffs 750 00:37:16,239 --> 00:37:17,080 Speaker 6: in the legislation. 751 00:37:17,440 --> 00:37:19,480 Speaker 13: So for the next president, we're going to make some 752 00:37:19,600 --> 00:37:23,080 Speaker 13: of these working class programs lasts a. 753 00:37:23,080 --> 00:37:25,600 Speaker 6: Little bit longer. We're going to do a lot of 754 00:37:25,640 --> 00:37:27,960 Speaker 6: great things. Look, we have to. We got to turn 755 00:37:28,040 --> 00:37:28,800 Speaker 6: this country around. 756 00:37:29,080 --> 00:37:32,120 Speaker 13: It's an honor to be there serving along our great 757 00:37:32,200 --> 00:37:33,560 Speaker 13: vice president, our great president. 758 00:37:33,760 --> 00:37:36,440 Speaker 6: By the way, a year ago tomorrow, this could have 759 00:37:36,480 --> 00:37:37,600 Speaker 6: been a whole different deal. 760 00:37:37,719 --> 00:37:40,040 Speaker 1: Amen, Senator Bernie Moreno, thank you so much for joining us. 761 00:37:45,320 --> 00:37:47,840 Speaker 1: All Right, folks, So that was our sit down with 762 00:37:48,040 --> 00:37:51,399 Speaker 1: Senator Bernie Moreno. And I really do want to point 763 00:37:51,440 --> 00:37:56,000 Speaker 1: out something that Senator Breno said there. Look, Ohio is well, 764 00:37:56,000 --> 00:37:58,399 Speaker 1: they're on a border state unless you consider their their 765 00:37:59,040 --> 00:38:03,560 Speaker 1: you know, water board order with Canada across the Great Lakes. 766 00:38:03,600 --> 00:38:06,840 Speaker 1: But he pointed out that even in a state like that, 767 00:38:07,960 --> 00:38:10,000 Speaker 1: even in a state like Ohio that's so far away 768 00:38:10,040 --> 00:38:13,000 Speaker 1: from the southern border, illegal immigration is still a massive 769 00:38:13,080 --> 00:38:16,520 Speaker 1: issue for them. And five thousand, only five thousand ICE 770 00:38:16,600 --> 00:38:21,200 Speaker 1: agents nationwide, smaller than the police force of major cities, 771 00:38:21,440 --> 00:38:24,839 Speaker 1: smaller than the capitol police force. Was all they had 772 00:38:25,080 --> 00:38:30,200 Speaker 1: for the deportation operations for twenty million, at least twenty 773 00:38:30,320 --> 00:38:33,239 Speaker 1: million people. It was a joke. It was ridiculous. So 774 00:38:33,440 --> 00:38:36,440 Speaker 1: right now ICE has the ability because what do we do. 775 00:38:36,920 --> 00:38:40,239 Speaker 1: We just twenty xed the ICE budget. Now we have 776 00:38:40,320 --> 00:38:43,920 Speaker 1: the ability to go and conduct more and more of 777 00:38:44,000 --> 00:38:47,759 Speaker 1: these critical deportations. I'll be right back, Jack Pisovic with 778 00:38:48,480 --> 00:38:53,360 Speaker 1: Erica'donalds from AFPI to an update on education even SMA, 779 00:39:03,719 --> 00:39:06,799 Speaker 1: All right, JACKISIBE are very excited to have once again 780 00:39:06,880 --> 00:39:09,640 Speaker 1: here on the program, Erica Donald Dereka, thank you so 781 00:39:09,719 --> 00:39:10,759 Speaker 1: much for being here in person. 782 00:39:10,760 --> 00:39:13,000 Speaker 5: I think for the first time you've had you in person. 783 00:39:13,040 --> 00:39:14,800 Speaker 1: And that's what's so great about doing events like this 784 00:39:14,880 --> 00:39:17,800 Speaker 1: where you can actually get people together and realize that 785 00:39:17,880 --> 00:39:20,600 Speaker 1: we all share these interests and we're all working on 786 00:39:20,719 --> 00:39:22,680 Speaker 1: different aspects but getting towards the same goal. 787 00:39:22,880 --> 00:39:24,560 Speaker 11: Yes, and it's great to be in Tampa and a 788 00:39:24,719 --> 00:39:27,520 Speaker 11: turning point with all these excited patriotic. 789 00:39:27,080 --> 00:39:28,920 Speaker 5: Yan tru forward Are you right, not at all? 790 00:39:29,000 --> 00:39:32,040 Speaker 11: But this is actually my hometown ives in Tampa, and yeah, 791 00:39:32,120 --> 00:39:33,359 Speaker 11: we live about a couple hours south. 792 00:39:33,640 --> 00:39:35,120 Speaker 5: Okay, that's that's great. 793 00:39:35,160 --> 00:39:37,239 Speaker 1: My brother has moved here now, he came down a 794 00:39:37,320 --> 00:39:38,800 Speaker 1: couple of years ago, just fell in love with it. 795 00:39:39,520 --> 00:39:40,920 Speaker 3: Hey, it's the great state of Florida. 796 00:39:41,000 --> 00:39:43,839 Speaker 5: I mean, what's not all? I completely agree? I want 797 00:39:43,880 --> 00:39:45,440 Speaker 5: to you know, we have you on talking about school 798 00:39:45,520 --> 00:39:46,120 Speaker 5: choice so much. 799 00:39:46,640 --> 00:39:50,480 Speaker 1: This this Supreme Court case that just came down regarding 800 00:39:51,400 --> 00:39:54,600 Speaker 1: which which really opts into a sort of educational choice 801 00:39:54,760 --> 00:39:57,120 Speaker 1: element regarding LGBT studies. 802 00:39:58,040 --> 00:39:59,920 Speaker 5: Tell us how big of a victory is that. 803 00:40:00,400 --> 00:40:02,440 Speaker 11: Well, the Mood case, the one that you're referring to, 804 00:40:02,880 --> 00:40:07,200 Speaker 11: now allows parents to opt their children out of objectionable 805 00:40:07,360 --> 00:40:10,520 Speaker 11: content in the schools. It's shocking that it even had 806 00:40:10,520 --> 00:40:12,520 Speaker 11: to go to the Supreme Court, but they made the 807 00:40:12,640 --> 00:40:15,759 Speaker 11: right decision and allowing these parents, for religious purposes to 808 00:40:15,880 --> 00:40:19,440 Speaker 11: opt their children out of what was LGBTQ content in 809 00:40:19,800 --> 00:40:23,520 Speaker 11: reading lessons. It wasn't a separate health lesson, but it 810 00:40:23,640 --> 00:40:27,759 Speaker 11: was infusing this ideology throughout the core curriculum. Parents wanted 811 00:40:27,800 --> 00:40:30,400 Speaker 11: to opt out. The school district said, too many parents 812 00:40:30,440 --> 00:40:32,839 Speaker 11: are opting out and it's disrupting the school day. 813 00:40:33,040 --> 00:40:34,640 Speaker 3: This is what they said. 814 00:40:35,560 --> 00:40:38,480 Speaker 11: Our that is why they stopped them from opting out, 815 00:40:38,520 --> 00:40:41,440 Speaker 11: and parents sued. And these weren't you know, Maga parents. 816 00:40:41,560 --> 00:40:44,760 Speaker 11: These were Muslim parents and Protestant parents. They were religious 817 00:40:44,800 --> 00:40:48,480 Speaker 11: parents from that community in Maryland were saying that they 818 00:40:48,560 --> 00:40:50,880 Speaker 11: wanted their children to be able to opt out from 819 00:40:50,920 --> 00:40:54,240 Speaker 11: those lessons. I say, this is actually a bigger issue, 820 00:40:54,320 --> 00:40:56,319 Speaker 11: and it does give rise to what I think will 821 00:40:56,520 --> 00:41:00,120 Speaker 11: ultimately be a Supreme Court case. If a parent and 822 00:41:00,239 --> 00:41:02,759 Speaker 11: can opt out of individual lessons because it doesn't align 823 00:41:02,840 --> 00:41:05,760 Speaker 11: with their ideology, or their religious beliefs, or their values 824 00:41:05,800 --> 00:41:09,320 Speaker 11: at home, why can't they opt out of the entire system, 825 00:41:09,680 --> 00:41:13,520 Speaker 11: which we know is completely infused with left wing ideology 826 00:41:13,840 --> 00:41:15,200 Speaker 11: and anti religious bias. 827 00:41:15,440 --> 00:41:19,680 Speaker 1: So is there any language in this ruling and in 828 00:41:19,760 --> 00:41:22,960 Speaker 1: this opinion that would lend itself towards that this is 829 00:41:23,040 --> 00:41:23,680 Speaker 1: now precedent? 830 00:41:24,160 --> 00:41:26,640 Speaker 11: It is precedent, and the Supreme Court was very careful 831 00:41:26,760 --> 00:41:30,919 Speaker 11: to be narrow in its ruling. However, it does make sense, 832 00:41:30,960 --> 00:41:34,960 Speaker 11: and I think we can very easily demonstrate that teachers 833 00:41:35,040 --> 00:41:37,960 Speaker 11: when they are off script or through if you look 834 00:41:38,000 --> 00:41:40,560 Speaker 11: at what the Teachers' Union does in their trainings, it 835 00:41:40,680 --> 00:41:44,000 Speaker 11: is absolutely infused with political and left wing ideology. And 836 00:41:44,080 --> 00:41:45,839 Speaker 11: I know that are a lot of parents that are 837 00:41:45,880 --> 00:41:48,719 Speaker 11: concerned that it's not just in the curriculum, but it's 838 00:41:48,760 --> 00:41:54,239 Speaker 11: actually normalized in public schools, this left wing bias, the LGBTQ, 839 00:41:54,440 --> 00:41:57,680 Speaker 11: the gender ideology, and so many parents now are demanding 840 00:41:57,760 --> 00:42:00,400 Speaker 11: the ability to opt out, but not just to but 841 00:42:00,480 --> 00:42:02,479 Speaker 11: be able to take those funds with them and choose 842 00:42:02,520 --> 00:42:04,160 Speaker 11: the education that they believe as fit. 843 00:42:04,760 --> 00:42:06,560 Speaker 1: It goes, it goes all the way back down to 844 00:42:06,680 --> 00:42:09,239 Speaker 1: the teacher schools, because you know, I always tell people, 845 00:42:09,320 --> 00:42:11,560 Speaker 1: you know, you're worried about the school you know, the schools, 846 00:42:11,640 --> 00:42:12,720 Speaker 1: but it's it comes. 847 00:42:12,560 --> 00:42:14,840 Speaker 5: Down to or think about it. When you were in college, 848 00:42:15,040 --> 00:42:17,040 Speaker 5: who are the people that you knew that were going 849 00:42:17,080 --> 00:42:17,759 Speaker 5: to teaching. 850 00:42:17,520 --> 00:42:19,800 Speaker 1: School like it was always the leftist it was always 851 00:42:19,880 --> 00:42:22,480 Speaker 1: like the far lefties that you knew, the lefties and lefties, 852 00:42:22,680 --> 00:42:24,160 Speaker 1: those are the ones that were going up. 853 00:42:24,400 --> 00:42:25,360 Speaker 5: To be teachers. 854 00:42:25,400 --> 00:42:27,759 Speaker 1: This is an issue by the way that you know, 855 00:42:28,080 --> 00:42:29,680 Speaker 1: I think at some point we're going to have to 856 00:42:29,719 --> 00:42:31,840 Speaker 1: address on the right because we. 857 00:42:32,000 --> 00:42:34,680 Speaker 5: Need some kind of response to that well. 858 00:42:34,719 --> 00:42:36,800 Speaker 11: And that's why in the schools that I have started, 859 00:42:36,880 --> 00:42:40,239 Speaker 11: several classical schools here in Florida and states around the 860 00:42:40,400 --> 00:42:44,440 Speaker 11: staff country, we do not hire graduates from teacher colleges. 861 00:42:44,440 --> 00:42:47,000 Speaker 11: For the most part, we hire that w math majors, 862 00:42:47,160 --> 00:42:50,759 Speaker 11: Science majors, History majors, English majors, and that's we used 863 00:42:50,760 --> 00:42:53,200 Speaker 11: to that a training program that helps them to teach 864 00:42:53,239 --> 00:42:55,400 Speaker 11: in a classroom. But I would much rather, even as 865 00:42:55,440 --> 00:42:59,359 Speaker 11: a parent, have someone who is seeped in content expertise 866 00:42:59,680 --> 00:43:02,040 Speaker 11: and then teach them how to teach that passion of theirs, 867 00:43:02,080 --> 00:43:04,640 Speaker 11: if they're passionate about history, rather than someone who's been 868 00:43:04,680 --> 00:43:06,880 Speaker 11: indoctrinated through a teacher college and really doesn't even know 869 00:43:06,960 --> 00:43:08,880 Speaker 11: mathematics themselves to teach. 870 00:43:08,680 --> 00:43:10,480 Speaker 6: My children and hasn't worked in the public schools. 871 00:43:10,520 --> 00:43:13,359 Speaker 11: Obviously, only a third of our children in America are 872 00:43:13,400 --> 00:43:16,279 Speaker 11: reading and doing mathematics proficiently, so we need to do 873 00:43:16,400 --> 00:43:16,960 Speaker 11: something different. 874 00:43:17,040 --> 00:43:18,839 Speaker 3: We can start there, like you said, with where we're 875 00:43:18,840 --> 00:43:19,680 Speaker 3: sourcing our teachers. 876 00:43:19,760 --> 00:43:22,640 Speaker 11: But next up, and thanks to the One Big Beautiful Bill, 877 00:43:22,680 --> 00:43:25,960 Speaker 11: we're taking a huge step on being able to enactul 878 00:43:26,080 --> 00:43:29,360 Speaker 11: choice across the country and bring free market competition so 879 00:43:29,560 --> 00:43:32,440 Speaker 11: that parents are going to have multiple high quality options. 880 00:43:32,480 --> 00:43:36,160 Speaker 1: It's funny you mentioned about about students in this country, 881 00:43:36,280 --> 00:43:39,400 Speaker 1: because so my wife comes from Eastern Europe originally and 882 00:43:39,920 --> 00:43:42,239 Speaker 1: she kind of started her degree there, but then she 883 00:43:42,320 --> 00:43:45,239 Speaker 1: finished it here and she had a gap with ceter 884 00:43:45,400 --> 00:43:46,960 Speaker 1: let's get into all of it. But she had some 885 00:43:47,040 --> 00:43:48,680 Speaker 1: of the credits and transfer over. So she had to 886 00:43:48,719 --> 00:43:52,400 Speaker 1: take some American math classes at the college level. And 887 00:43:52,800 --> 00:43:54,239 Speaker 1: she goes into the class because she's. 888 00:43:54,160 --> 00:43:56,480 Speaker 5: Got to get the credit. And she goes in. She's 889 00:43:56,600 --> 00:43:58,279 Speaker 5: real and she comes to me. She says, sweetheart, like, 890 00:43:59,600 --> 00:44:02,399 Speaker 5: this is what you're teaching at a college level. She said, 891 00:44:02,480 --> 00:44:04,279 Speaker 5: back home in Eastern you're a fool. This is what 892 00:44:04,400 --> 00:44:08,000 Speaker 5: we teach to like freshman high schoolers. This is you know, 893 00:44:08,120 --> 00:44:11,680 Speaker 5: not kids. But this is basic stuff and you're teaching 894 00:44:11,719 --> 00:44:13,440 Speaker 5: it in college. She said. It doesn't make any. 895 00:44:13,280 --> 00:44:13,680 Speaker 7: Sense to me. 896 00:44:13,960 --> 00:44:16,279 Speaker 11: It has been dumbed down. It's why dual enrollment is 897 00:44:16,360 --> 00:44:20,080 Speaker 11: so popular, because high performing high school students. We're actually 898 00:44:20,200 --> 00:44:23,360 Speaker 11: outsourcing high school math to the community colleges and to 899 00:44:23,440 --> 00:44:26,320 Speaker 11: the university, allowing them to duel enroll and get college 900 00:44:26,400 --> 00:44:29,560 Speaker 11: credit because the high school mathematics courses are not challenging 901 00:44:29,680 --> 00:44:31,600 Speaker 11: enough for our right as students, and they have to 902 00:44:31,680 --> 00:44:34,480 Speaker 11: move on and do college work. But that college work is, 903 00:44:34,560 --> 00:44:37,000 Speaker 11: as you said, more like high school level. What our 904 00:44:37,120 --> 00:44:40,239 Speaker 11: children should be learning in high school, and they're not. Unfortunately, 905 00:44:40,440 --> 00:44:44,960 Speaker 11: even in grade levels like tenth grade level mathematics, our 906 00:44:45,000 --> 00:44:47,960 Speaker 11: students are not at a tenth grade level when they 907 00:44:48,080 --> 00:44:50,560 Speaker 11: graduate high school. When we talk about our test scores, 908 00:44:50,560 --> 00:44:52,719 Speaker 11: we're usually testing at a tenth grade level, not a 909 00:44:52,760 --> 00:44:55,239 Speaker 11: twelfth grade level, where we say a third of our 910 00:44:55,239 --> 00:44:57,120 Speaker 11: students are doing math officially right. 911 00:44:57,200 --> 00:45:00,080 Speaker 1: And then so those are going into college, then you 912 00:45:00,120 --> 00:45:02,640 Speaker 1: want to take anything with stem They've You've basically got 913 00:45:02,680 --> 00:45:03,480 Speaker 1: to start at the beginning. 914 00:45:03,520 --> 00:45:07,360 Speaker 5: They're total. You're behind anyone who's already coming ahead of that. 915 00:45:07,640 --> 00:45:10,680 Speaker 11: Yeah, And that's why we have to completely reform the system. 916 00:45:10,719 --> 00:45:13,680 Speaker 11: I mean, people say that I want to destroy public 917 00:45:13,840 --> 00:45:16,160 Speaker 11: education because I promote school choice, that I promote the 918 00:45:16,239 --> 00:45:18,360 Speaker 11: ability to vote with your feet and take of funding 919 00:45:18,440 --> 00:45:20,880 Speaker 11: with you, And I say, I'm not trying to actually 920 00:45:20,960 --> 00:45:23,759 Speaker 11: destroy public education, but I am trying to destroy the 921 00:45:23,840 --> 00:45:27,360 Speaker 11: monopoly that the government enjoys in public education. Because the 922 00:45:27,440 --> 00:45:30,719 Speaker 11: monopoly is what is lowering the quality for everyone. It 923 00:45:30,880 --> 00:45:33,800 Speaker 11: does that in any industry, why wouldn't it happen in education? 924 00:45:34,320 --> 00:45:36,840 Speaker 11: And we're not getting the innovation and the quality and 925 00:45:36,880 --> 00:45:39,560 Speaker 11: the access that we could have in a free market system. 926 00:45:40,080 --> 00:45:43,279 Speaker 11: So thanks to President Trump, the school choice president, we're 927 00:45:43,280 --> 00:45:44,680 Speaker 11: going to have a lot more opportunity for that in 928 00:45:44,719 --> 00:45:45,080 Speaker 11: the future. 929 00:45:45,320 --> 00:45:47,880 Speaker 5: Eric Donalds, where can people go to follow you at. 930 00:45:48,000 --> 00:45:51,280 Speaker 11: Eric Donald's Erico with a K no C on Twitter, 931 00:45:51,560 --> 00:45:54,400 Speaker 11: on all social media, and Ericadonalds dot com if you 932 00:45:54,440 --> 00:45:56,760 Speaker 11: want to get in touch with me, but definitely follow 933 00:45:56,800 --> 00:45:58,960 Speaker 11: what we're doing because there are a lot of great wins, 934 00:45:59,080 --> 00:46:01,720 Speaker 11: especially in the Trump and iministration, that are empowering parents 935 00:46:01,960 --> 00:46:03,960 Speaker 11: to choose the education that's best for their children. 936 00:46:04,080 --> 00:46:05,239 Speaker 5: God bless thank you so much, Thank you,