1 00:00:00,520 --> 00:00:02,240 Speaker 1: To America's Voice Live. 2 00:00:03,360 --> 00:00:07,160 Speaker 2: Our Real America's Voice team is going places others won't. 3 00:00:08,520 --> 00:00:10,680 Speaker 3: We need to take over that was in coming into 4 00:00:11,039 --> 00:00:12,400 Speaker 3: Israeli territory. 5 00:00:12,119 --> 00:00:14,600 Speaker 2: To show you what they don't want you to see. 6 00:00:14,800 --> 00:00:16,919 Speaker 1: It's still a disaster. What's the latest? 7 00:00:17,000 --> 00:00:18,400 Speaker 4: They call these street releases. 8 00:00:18,600 --> 00:00:20,400 Speaker 3: You've got hundreds of people being dropped off. 9 00:00:20,400 --> 00:00:21,119 Speaker 5: It's getting worse. 10 00:00:21,160 --> 00:00:24,800 Speaker 1: And we're the nation's fastest growing news program for a reason. 11 00:00:25,200 --> 00:00:27,960 Speaker 6: Real journalize that they're all marching down to the White House. 12 00:00:28,000 --> 00:00:29,760 Speaker 2: It sounds to me man like they won't be happy 13 00:00:29,840 --> 00:00:34,040 Speaker 2: until Israel doesn't exist. Real American News America is under 14 00:00:34,159 --> 00:00:35,479 Speaker 2: chemical warfare attack. 15 00:00:35,560 --> 00:00:38,400 Speaker 5: That film is the weapon. Thank you for everything you're doing. 16 00:00:38,560 --> 00:00:40,640 Speaker 4: I appreciate you guys, very very much. 17 00:00:41,080 --> 00:00:45,080 Speaker 5: This is America's Voice Live with Steve Grouper. 18 00:00:46,680 --> 00:00:49,760 Speaker 2: Welcome to America's Voice Live. I'm stup great. It is Thursday, 19 00:00:49,840 --> 00:00:51,880 Speaker 2: the twentieth of March. It's good to the day stops 20 00:00:51,960 --> 00:00:53,319 Speaker 2: orsi and thank you for spending part of your day 21 00:00:53,320 --> 00:00:55,760 Speaker 2: with us here on Real America's Voice. We truly appreciate. 22 00:00:56,360 --> 00:00:59,280 Speaker 2: Many concerns have risen after last week it was found 23 00:00:59,280 --> 00:01:02,200 Speaker 2: out that former President Joe Biden may have been using 24 00:01:02,200 --> 00:01:04,640 Speaker 2: an auto pen to sign executive orders, meaning he wasn't 25 00:01:04,680 --> 00:01:06,000 Speaker 2: signing them at all. 26 00:01:06,080 --> 00:01:07,440 Speaker 1: Pardons too, we'll talk about that. 27 00:01:07,480 --> 00:01:10,960 Speaker 2: Also, the Pentagon taking action to stop cartels from pumping 28 00:01:11,000 --> 00:01:13,160 Speaker 2: drugs into the US. I'll tell you what they're doing 29 00:01:13,160 --> 00:01:16,800 Speaker 2: coming up on that, and then later President Trump's plans 30 00:01:16,800 --> 00:01:19,160 Speaker 2: to make America number one in the world in AI. 31 00:01:19,520 --> 00:01:22,080 Speaker 2: We'll get into the developments of all of that and 32 00:01:22,160 --> 00:01:24,160 Speaker 2: much more coming up on America's Voice Live. But we 33 00:01:24,240 --> 00:01:27,480 Speaker 2: start here because today, in about an hour, President Trump 34 00:01:27,480 --> 00:01:30,000 Speaker 2: expected to sign an executive order to follow through on 35 00:01:30,040 --> 00:01:34,640 Speaker 2: his campaign promise to abolish the Department of Education. The 36 00:01:34,720 --> 00:01:38,720 Speaker 2: executive order calls on the new US of Education, Lenda McMahon, 37 00:01:38,959 --> 00:01:42,360 Speaker 2: to take any and all necessary actions to abolish that department. 38 00:01:42,760 --> 00:01:45,120 Speaker 2: It is the first step to restore education to the 39 00:01:45,160 --> 00:01:48,920 Speaker 2: state level as well as families, instead of corrupt and 40 00:01:49,120 --> 00:01:53,360 Speaker 2: manipulative bureaucracies housed in Washington. It'll also take a lot 41 00:01:53,360 --> 00:01:56,120 Speaker 2: of power away from unions. Now it's clear that the 42 00:01:56,120 --> 00:01:59,240 Speaker 2: Department of Education has failed American students, and like any 43 00:01:59,280 --> 00:02:02,560 Speaker 2: good parent, we just want the best for our kids. 44 00:02:02,240 --> 00:02:04,520 Speaker 1: Who are the future of this country. Of course, there's no. 45 00:02:04,520 --> 00:02:07,560 Speaker 2: Place in the classroom for politics or policy or wokeism. 46 00:02:08,320 --> 00:02:10,639 Speaker 2: It's a place for reading, writing, and arithmetic. At least 47 00:02:10,639 --> 00:02:11,680 Speaker 2: that's our take on it. 48 00:02:11,919 --> 00:02:12,480 Speaker 1: Here me to. 49 00:02:12,440 --> 00:02:15,440 Speaker 2: Discuss this as a former award winning teacher and investigative 50 00:02:15,520 --> 00:02:19,280 Speaker 2: columnist for The Daily Son Tony. Nice to see you 51 00:02:19,360 --> 00:02:22,239 Speaker 2: here today, a former teacher. Here you are on the 52 00:02:22,280 --> 00:02:26,600 Speaker 2: cusp of watching Jimmy Carter's dream finally go away. It's 53 00:02:26,600 --> 00:02:29,239 Speaker 2: been a nightmare for American kids. Certainly no dream at all. 54 00:02:29,639 --> 00:02:31,720 Speaker 2: What do you say about today's executive. 55 00:02:31,360 --> 00:02:35,440 Speaker 4: Order as a former teacher and administrator who was fired 56 00:02:35,480 --> 00:02:38,480 Speaker 4: in twenty twenty one for exposing critical race theory backed 57 00:02:38,480 --> 00:02:42,960 Speaker 4: by the Biden Department of Education. I don't know whether 58 00:02:43,040 --> 00:02:45,639 Speaker 4: I should fry up a steak, have a glass of champagne, 59 00:02:45,639 --> 00:02:47,960 Speaker 4: smoke a cigar, But I think what I'll settle for 60 00:02:48,400 --> 00:02:51,440 Speaker 4: is celebrating with a lot of American families who see 61 00:02:51,639 --> 00:02:55,000 Speaker 4: education beginning to be returned back to the States and 62 00:02:55,120 --> 00:02:56,160 Speaker 4: rest with the families. 63 00:02:56,360 --> 00:02:57,079 Speaker 1: Parents should be. 64 00:02:57,040 --> 00:03:00,079 Speaker 4: Involved with their kids' education, no one more so, And 65 00:03:00,280 --> 00:03:02,160 Speaker 4: I think that the best way to foster a great 66 00:03:02,200 --> 00:03:06,400 Speaker 4: parent teacher student relationship is to make sure that those 67 00:03:06,560 --> 00:03:10,240 Speaker 4: local communities have the maximum amount of power as few 68 00:03:10,320 --> 00:03:13,840 Speaker 4: federal strings as possible, and that paints a far brighter 69 00:03:13,880 --> 00:03:16,120 Speaker 4: picture than the one we've seen over the last four years. 70 00:03:17,880 --> 00:03:18,920 Speaker 1: Tony, let me ask you this. 71 00:03:19,000 --> 00:03:21,000 Speaker 2: You worked in education, as you mentioned here, you were 72 00:03:21,000 --> 00:03:23,400 Speaker 2: a teacher for a number of years. What do you 73 00:03:23,400 --> 00:03:25,880 Speaker 2: think the general feeling is rank and file teachers out 74 00:03:25,880 --> 00:03:28,200 Speaker 2: there across the country, because, look, a lot of them 75 00:03:28,720 --> 00:03:31,560 Speaker 2: have been cowed into being silent, not speaking up. There's 76 00:03:31,639 --> 00:03:35,480 Speaker 2: woll agendas and all of these different things, transgenderism in 77 00:03:35,520 --> 00:03:39,160 Speaker 2: schools and DEI and different things, and they've not spoken 78 00:03:39,240 --> 00:03:41,640 Speaker 2: up for fear of losing their jobs or being targeted. 79 00:03:42,120 --> 00:03:44,360 Speaker 2: What do you think the general feeling is among teachers 80 00:03:44,400 --> 00:03:46,480 Speaker 2: as a whole in this country to watch the Department 81 00:03:46,480 --> 00:03:49,040 Speaker 2: of Education be at least reduced I don't know if 82 00:03:49,080 --> 00:03:52,400 Speaker 2: it can be completely eliminated, but reduced an impact and 83 00:03:52,520 --> 00:03:54,920 Speaker 2: all that power returned to the states. 84 00:03:56,040 --> 00:03:58,320 Speaker 4: Well, I think there are two different feelings. I think 85 00:03:58,320 --> 00:04:00,840 Speaker 4: that you have the feeling that is kind of front facing. 86 00:04:01,080 --> 00:04:03,960 Speaker 4: After the last bell rings and the teachers kind of 87 00:04:04,000 --> 00:04:06,480 Speaker 4: go into the hallways after school to talk with each other. 88 00:04:06,760 --> 00:04:09,560 Speaker 4: There's the approved opinion you're allowed to have, which is 89 00:04:09,600 --> 00:04:12,240 Speaker 4: the Oh, what a shame. What a shame, right, And 90 00:04:12,320 --> 00:04:15,280 Speaker 4: then in the back rooms among some of us teachers 91 00:04:15,280 --> 00:04:18,600 Speaker 4: that usually did most of the work, we were snickering 92 00:04:18,640 --> 00:04:20,920 Speaker 4: and laughing and going, oh, thank God, now there's a 93 00:04:21,040 --> 00:04:24,080 Speaker 4: chance that I will have less federal fingers in my 94 00:04:24,160 --> 00:04:26,440 Speaker 4: classroom telling me that in order to get this federal 95 00:04:26,480 --> 00:04:29,919 Speaker 4: money you need to change your solid sound curriculum in 96 00:04:29,960 --> 00:04:33,600 Speaker 4: pedagogy into a bunch of blithering dribble that came out 97 00:04:33,600 --> 00:04:37,240 Speaker 4: of some lesbian professor in Ottawa. That's not what this 98 00:04:37,279 --> 00:04:39,080 Speaker 4: country was built to do. And I think there are 99 00:04:39,200 --> 00:04:42,120 Speaker 4: a lot of teachers who are rather pleased at the 100 00:04:42,160 --> 00:04:43,400 Speaker 4: direction of the country's going in. 101 00:04:45,000 --> 00:04:47,120 Speaker 2: Yeah, many people who watch this show, Tony know that 102 00:04:47,160 --> 00:04:48,480 Speaker 2: my mother was a school teacher. 103 00:04:48,480 --> 00:04:49,799 Speaker 1: My grandmother was a school teacher. 104 00:04:49,839 --> 00:04:52,359 Speaker 2: Collectively, they taught for more than seventy four years in 105 00:04:52,400 --> 00:04:55,000 Speaker 2: the classroom, and the thing that they taught were the 106 00:04:55,040 --> 00:04:59,039 Speaker 2: fundamentals basic blocking and tackling, reading, writing, and arithmetic. And 107 00:04:59,080 --> 00:05:02,240 Speaker 2: my mother you focused on literacy, which was phonics, right, 108 00:05:02,600 --> 00:05:05,200 Speaker 2: And I was surprised, stun shocked. I don't know what 109 00:05:05,240 --> 00:05:07,240 Speaker 2: adjective you want to use. That I learned a few 110 00:05:07,279 --> 00:05:09,440 Speaker 2: years ago. They weren't teaching phonics anymore. Well, how do 111 00:05:09,480 --> 00:05:12,520 Speaker 2: you sound out a word if you're not using phonics 112 00:05:12,520 --> 00:05:15,320 Speaker 2: because somebody had some new fangled idea. Look, we've been 113 00:05:15,360 --> 00:05:17,680 Speaker 2: teaching kids to read, write, and add and subtracts and 114 00:05:17,760 --> 00:05:21,880 Speaker 2: multiply for centuries. Wouldn't those basics still apply to today? 115 00:05:21,880 --> 00:05:24,719 Speaker 2: I mean, when you build a basic foundation for education, 116 00:05:25,360 --> 00:05:27,400 Speaker 2: shouldn't those fundamentals be the same? 117 00:05:28,320 --> 00:05:30,760 Speaker 4: Well, they certainly should. But when we got about halfway 118 00:05:30,800 --> 00:05:34,200 Speaker 4: through the twentieth century, we suddenly decided that it was 119 00:05:34,240 --> 00:05:36,960 Speaker 4: a little uncouth the stick to solid fundamentals. After all, 120 00:05:36,960 --> 00:05:39,760 Speaker 4: there was all this brand new psychological pseudo babble out 121 00:05:39,800 --> 00:05:43,440 Speaker 4: of universities that suggested all the Europeans knew far more 122 00:05:43,440 --> 00:05:46,240 Speaker 4: about education in the United States could ever, So what 123 00:05:46,279 --> 00:05:49,719 Speaker 4: we started doing was importing all of this nonsense social 124 00:05:49,800 --> 00:05:52,360 Speaker 4: ideology into the classroom. And by the way, one of 125 00:05:52,400 --> 00:05:55,120 Speaker 4: the guys that recognized this first was Tom Leher, the 126 00:05:55,120 --> 00:06:00,000 Speaker 4: famous pianist and comedian back in the nineteen sixties who 127 00:06:00,000 --> 00:06:02,120 Speaker 4: who would sing a song called new Math, and he 128 00:06:02,120 --> 00:06:04,800 Speaker 4: would make fun of the way mathematics education was changing 129 00:06:04,880 --> 00:06:07,440 Speaker 4: because it was quote more about knowing what you were 130 00:06:07,480 --> 00:06:10,360 Speaker 4: doing than getting the right answer. End quote, and now 131 00:06:10,400 --> 00:06:12,839 Speaker 4: we've turned that into this idea that if someone just 132 00:06:12,960 --> 00:06:16,080 Speaker 4: believes something in their heart, then that's just as valid 133 00:06:16,120 --> 00:06:19,159 Speaker 4: as the answer the true objective facts of the system. 134 00:06:19,640 --> 00:06:22,440 Speaker 4: And it didn't work. It was a complete abysmal failure. 135 00:06:22,520 --> 00:06:24,760 Speaker 4: And so we're now coming out of that at last, 136 00:06:25,120 --> 00:06:27,880 Speaker 4: and I'm really looking forward to seeing the re implementation 137 00:06:28,120 --> 00:06:32,000 Speaker 4: of solid educational principles in the classroom and everywhere else 138 00:06:32,000 --> 00:06:32,559 Speaker 4: for that matter. 139 00:06:34,200 --> 00:06:37,760 Speaker 2: You know, we see gross failure in the educational system 140 00:06:37,760 --> 00:06:40,600 Speaker 2: across this country, but I think the biggest warning signs 141 00:06:40,600 --> 00:06:44,720 Speaker 2: have come through our biggest schools in our biggest cities 142 00:06:44,760 --> 00:06:48,280 Speaker 2: are the biggest failures the place where the unions are the. 143 00:06:48,240 --> 00:06:49,920 Speaker 1: Deeply seated power. 144 00:06:50,000 --> 00:06:53,359 Speaker 2: Because if you listen to union leaders like Winegarten and 145 00:06:53,400 --> 00:06:55,680 Speaker 2: these others, Ranny Weingarten and others, they talk. 146 00:06:55,560 --> 00:06:55,960 Speaker 1: About one thing. 147 00:06:55,960 --> 00:06:58,880 Speaker 2: They talk about union, union power, solidarity, all those things. 148 00:06:58,920 --> 00:07:02,719 Speaker 2: They never talk about the kids and education. And I 149 00:07:02,760 --> 00:07:04,960 Speaker 2: think that when the unions came in and took over 150 00:07:05,000 --> 00:07:07,280 Speaker 2: and forgot about actually educating the kids and they're more 151 00:07:07,320 --> 00:07:10,200 Speaker 2: worried about union power and union money, we probably took 152 00:07:10,520 --> 00:07:13,240 Speaker 2: a turn into the abyss, didn't we. 153 00:07:13,240 --> 00:07:15,480 Speaker 4: Well, yeah, anytime you have a soft science as position 154 00:07:15,640 --> 00:07:20,280 Speaker 4: or a service industry position that's bent on providing an 155 00:07:20,360 --> 00:07:23,200 Speaker 4: experience to the customer, right to the client, and you 156 00:07:23,280 --> 00:07:25,320 Speaker 4: put a union in the mix, what you get is 157 00:07:25,360 --> 00:07:28,880 Speaker 4: a weird fostering towards the person providing the experience instead 158 00:07:28,920 --> 00:07:32,240 Speaker 4: of the end user. Instead of making it easy on 159 00:07:32,320 --> 00:07:35,880 Speaker 4: the teacher to provide the best possible experience for students. 160 00:07:36,240 --> 00:07:40,360 Speaker 4: Instead you had people like Becky Pringle, like the Chicago Teachers' 161 00:07:40,440 --> 00:07:43,400 Speaker 4: Union crew that were hell bent on making sure schools 162 00:07:43,440 --> 00:07:47,840 Speaker 4: stayed closed during COVID rather than getting students in the 163 00:07:47,840 --> 00:07:50,080 Speaker 4: classroom and the kind of education they needed so that 164 00:07:50,120 --> 00:07:53,160 Speaker 4: their union members could enjoy my ties on the beach, 165 00:07:53,240 --> 00:07:55,720 Speaker 4: or at least that's what their social media pictures were 166 00:07:55,720 --> 00:07:58,840 Speaker 4: showing during the time, and it really resonated with Americans, 167 00:07:58,840 --> 00:08:01,240 Speaker 4: and I think that's why you've seen such a considerable 168 00:08:01,280 --> 00:08:03,920 Speaker 4: backlash that's lasted longer than the average political cycle. 169 00:08:05,440 --> 00:08:05,680 Speaker 5: Tony. 170 00:08:05,760 --> 00:08:07,400 Speaker 2: Let me ask you another part of this whole equation, 171 00:08:07,480 --> 00:08:08,600 Speaker 2: and I don't think a lot of people have spent 172 00:08:08,680 --> 00:08:10,480 Speaker 2: time focusing on as much as they should, and that 173 00:08:10,600 --> 00:08:13,520 Speaker 2: is what impact for the elimination the Department Education have 174 00:08:13,880 --> 00:08:16,760 Speaker 2: not just on k through twelve. But on higher education, 175 00:08:16,960 --> 00:08:22,840 Speaker 2: post post secondary education, colleges, universities, community colleges. What kind 176 00:08:22,880 --> 00:08:24,720 Speaker 2: of an impact is going to have when you come 177 00:08:24,760 --> 00:08:29,000 Speaker 2: to look, they're eliminating DEI programs, They're eliminating these race 178 00:08:29,160 --> 00:08:32,600 Speaker 2: based agendas at some of these schools. These things are 179 00:08:32,600 --> 00:08:36,600 Speaker 2: being eliminated. What is the impact on higher education in America? 180 00:08:37,640 --> 00:08:40,360 Speaker 4: Well, I'm sure that a lot of people don't know this, 181 00:08:40,520 --> 00:08:44,360 Speaker 4: but the vast majority of employees at the Department of Education, 182 00:08:45,000 --> 00:08:48,960 Speaker 4: especially before the fifty percent layoffs, were simply rubber stamping 183 00:08:49,080 --> 00:08:52,480 Speaker 4: grants for universities and higher education, So you would be 184 00:08:52,520 --> 00:08:54,640 Speaker 4: some And when I was getting my master's degrees at 185 00:08:54,640 --> 00:08:56,920 Speaker 4: Ball State and Education, I had a member of my 186 00:08:57,000 --> 00:09:01,040 Speaker 4: cohort who actually submitted a grant proposal for a study 187 00:09:01,120 --> 00:09:06,560 Speaker 4: involving prophylactics on cow utters. Yeah, really weird, right, And 188 00:09:06,640 --> 00:09:09,079 Speaker 4: the grant got approved because there's an entire crew over 189 00:09:09,160 --> 00:09:12,720 Speaker 4: at the usdo ED that just rubber stamps grants. And 190 00:09:12,800 --> 00:09:14,920 Speaker 4: so I think that I at least I pray that 191 00:09:14,960 --> 00:09:17,920 Speaker 4: you'll be seeing a lot fewer of these grants going 192 00:09:17,960 --> 00:09:22,360 Speaker 4: out so that someone can create transgender mice or look 193 00:09:22,400 --> 00:09:24,840 Speaker 4: at the effects of the color pink at the DMV. 194 00:09:25,160 --> 00:09:27,360 Speaker 4: You know the kind of things you would expect liberal 195 00:09:27,400 --> 00:09:28,720 Speaker 4: professors to request money for. 196 00:09:30,480 --> 00:09:32,480 Speaker 2: Look Tony, for a kid that grew up across from 197 00:09:32,480 --> 00:09:35,320 Speaker 2: a dairy farm, I can tell you that bagbamb is 198 00:09:35,360 --> 00:09:37,400 Speaker 2: all you need for a cow's utter to get a 199 00:09:37,440 --> 00:09:38,360 Speaker 2: back supple. 200 00:09:38,120 --> 00:09:38,920 Speaker 1: And producing milk. 201 00:09:38,920 --> 00:09:40,760 Speaker 2: Again, look, this is not high science, and I don't 202 00:09:40,760 --> 00:09:43,040 Speaker 2: need a million dollars to tell you that bag bomb 203 00:09:43,040 --> 00:09:45,559 Speaker 2: that's what you want. Moncy, Indiana, it's a beautiful tom. 204 00:09:45,600 --> 00:09:46,320 Speaker 1: But what about these. 205 00:09:46,200 --> 00:09:48,719 Speaker 2: Other towns around the country where you've got a lot 206 00:09:48,720 --> 00:09:51,240 Speaker 2: of people still pushing back. I just saw the University 207 00:09:51,280 --> 00:09:54,520 Speaker 2: of Pennsylvania has been cut off for funding for continue 208 00:09:54,559 --> 00:09:57,600 Speaker 2: to push DEI and woke agendas when it comes to 209 00:09:57,679 --> 00:09:59,840 Speaker 2: men and women's sports. Some of these schools think that 210 00:09:59,840 --> 00:10:03,920 Speaker 2: they can basically give the proverbial middle finger to Donald 211 00:10:03,960 --> 00:10:05,280 Speaker 2: Trump and Washington. 212 00:10:05,600 --> 00:10:07,000 Speaker 1: That's not going to fly, is it. 213 00:10:07,880 --> 00:10:09,480 Speaker 4: No, So there is something about this that we all 214 00:10:09,480 --> 00:10:11,559 Speaker 4: need to consider. If you're going to give the federal 215 00:10:11,600 --> 00:10:17,520 Speaker 4: government a mechanism of funding two state and local entities, 216 00:10:17,559 --> 00:10:19,800 Speaker 4: like in this case you pen or Columbia or whomever 217 00:10:19,840 --> 00:10:22,360 Speaker 4: you wish to put in the situation, you're going to 218 00:10:22,400 --> 00:10:25,600 Speaker 4: have strings attached to the money. That's just common sense. 219 00:10:25,640 --> 00:10:27,320 Speaker 4: That is how that is going to function. It's one 220 00:10:27,360 --> 00:10:29,240 Speaker 4: of the reasons I think that Trump pushing the money 221 00:10:29,280 --> 00:10:32,600 Speaker 4: back to the States directly is a good idea. But 222 00:10:32,760 --> 00:10:36,120 Speaker 4: in this case, yeah, the Trump administration doesn't want rampant 223 00:10:36,240 --> 00:10:39,120 Speaker 4: racial discrimination happening on campuses. And if you think that 224 00:10:39,160 --> 00:10:42,160 Speaker 4: you can take my tax payer money and then also 225 00:10:42,280 --> 00:10:44,679 Speaker 4: discriminate on my dime, yeah, there's going to be a 226 00:10:44,720 --> 00:10:46,280 Speaker 4: bit of a problem with that, as there should be. 227 00:10:48,160 --> 00:10:48,800 Speaker 1: Yeah, well, you. 228 00:10:48,800 --> 00:10:52,080 Speaker 2: Know, you touch on some of there tony that I 229 00:10:52,320 --> 00:10:56,800 Speaker 2: just look. We would see headlines come up those of 230 00:10:56,880 --> 00:10:59,800 Speaker 2: us out here in normal America and say, what are 231 00:10:59,840 --> 00:11:05,720 Speaker 2: they talking about? Like math is racist? English language is racist, 232 00:11:06,360 --> 00:11:11,600 Speaker 2: Social studies is racist, world history everything apparently was racist. 233 00:11:11,679 --> 00:11:14,559 Speaker 2: And you have these sixteen nineteen Project people running around 234 00:11:14,559 --> 00:11:17,720 Speaker 2: spreading that filth in the classroom as well. I hope 235 00:11:17,760 --> 00:11:19,079 Speaker 2: some of that's going to come to an end. What 236 00:11:19,080 --> 00:11:20,440 Speaker 2: do you think is going to be the future of 237 00:11:20,920 --> 00:11:22,800 Speaker 2: the sixteen nineteen project or some of the other things 238 00:11:22,800 --> 00:11:23,880 Speaker 2: I just mentioned. 239 00:11:24,320 --> 00:11:28,199 Speaker 4: Well, as the sixteen nineteen project is completely historically inaccurate 240 00:11:28,240 --> 00:11:30,880 Speaker 4: and shouldn't be allowed inside any school unless you're doing 241 00:11:30,920 --> 00:11:34,040 Speaker 4: a routine on making fun of garbage, false histories, or 242 00:11:34,080 --> 00:11:36,960 Speaker 4: maybe a course on propaganda. I expect those things to 243 00:11:36,960 --> 00:11:38,959 Speaker 4: come to an end because they just don't produce results. 244 00:11:39,040 --> 00:11:43,600 Speaker 4: I remember when my boss at Indianapolis Public Schools was 245 00:11:43,600 --> 00:11:45,920 Speaker 4: telling me that we needed to bring Indiana University in 246 00:11:45,960 --> 00:11:48,840 Speaker 4: to study how racist our math curriculum was. And it 247 00:11:48,880 --> 00:11:53,559 Speaker 4: was amazing to watch the director of Science and Math 248 00:11:53,600 --> 00:11:56,959 Speaker 4: at IPS stammer because she couldn't tell me how math 249 00:11:57,080 --> 00:12:02,840 Speaker 4: might be racist. And I'll choose not to go on, 250 00:12:02,960 --> 00:12:05,040 Speaker 4: but yes, I'm excited to see these things coming to 251 00:12:05,040 --> 00:12:05,400 Speaker 4: an end. 252 00:12:05,840 --> 00:12:08,680 Speaker 1: Yeah, so here's my wish. 253 00:12:10,000 --> 00:12:13,280 Speaker 2: Like I said, I come from a long lineage of teachers, 254 00:12:13,360 --> 00:12:15,600 Speaker 2: and teachers taught me my love of language is probably 255 00:12:15,600 --> 00:12:18,079 Speaker 2: why I do what I do today. There is one 256 00:12:18,120 --> 00:12:21,760 Speaker 2: thing I'd like to see removed from the classrooms, and 257 00:12:21,800 --> 00:12:24,439 Speaker 2: that is Howard Zen and A People's History of the 258 00:12:24,520 --> 00:12:27,080 Speaker 2: United States. You talk about false history and garbage. I'd 259 00:12:27,080 --> 00:12:29,720 Speaker 2: like to see Howard Jin's books banned completely just because 260 00:12:29,720 --> 00:12:35,439 Speaker 2: they're completely hateful toward America. Inaccurate have been panned by 261 00:12:35,880 --> 00:12:39,480 Speaker 2: numerous historians for being complete and uttered garbage. That's my 262 00:12:39,559 --> 00:12:41,800 Speaker 2: wish list as we go forward, Tony, what's yours and 263 00:12:41,840 --> 00:12:42,959 Speaker 2: I'll give you the last word. 264 00:12:43,520 --> 00:12:45,800 Speaker 4: Well, I'd say that that would also be my wish 265 00:12:45,840 --> 00:12:49,240 Speaker 4: as well, given that Howard Zen likely directly took money 266 00:12:49,400 --> 00:12:52,520 Speaker 4: from Soviet backers in order to push this false narrative 267 00:12:52,520 --> 00:12:55,720 Speaker 4: of the United States being an imperious, colonious empire. It 268 00:12:55,760 --> 00:12:58,720 Speaker 4: was the only way the Soviets could get into American education. 269 00:12:58,800 --> 00:13:01,840 Speaker 4: In fact, Gorbachev is on record laughing about being the 270 00:13:01,880 --> 00:13:04,960 Speaker 4: greatest social success was getting America to pedal this We're 271 00:13:05,000 --> 00:13:09,480 Speaker 4: so sorry for colonialism narrative. So yeah, Howard Zen can 272 00:13:09,559 --> 00:13:12,520 Speaker 4: be booted out, and I think all of the individuals 273 00:13:12,559 --> 00:13:14,880 Speaker 4: subscribing to his stuff disbarred and discredited. 274 00:13:16,960 --> 00:13:18,439 Speaker 2: I think the last thing we have to try to 275 00:13:18,440 --> 00:13:21,080 Speaker 2: figure out is how many lawsuits get fout. The President's 276 00:13:21,080 --> 00:13:23,440 Speaker 2: supposed to file that in what forty five minutes something 277 00:13:23,480 --> 00:13:28,240 Speaker 2: like that, the executive order, But you are sprinting to 278 00:13:28,280 --> 00:13:32,679 Speaker 2: file an adjunctation mantling right. Oh, I can guarantee you, Tony, 279 00:13:32,720 --> 00:13:35,600 Speaker 2: They've got the lawsuits are already written. They're just waiting 280 00:13:35,640 --> 00:13:38,240 Speaker 2: to drop them in the slot. I'm sure of that. 281 00:13:38,280 --> 00:13:40,720 Speaker 2: But after that happens next week you come back and 282 00:13:40,720 --> 00:13:42,520 Speaker 2: talk more about it, because we're going to have to 283 00:13:42,559 --> 00:13:44,560 Speaker 2: kind of catch up and see how this goes play 284 00:13:44,559 --> 00:13:46,520 Speaker 2: by play. But that's part and parcels to how they're 285 00:13:46,520 --> 00:13:48,760 Speaker 2: trying to fight the Trump administration no matter what they're 286 00:13:48,840 --> 00:13:51,839 Speaker 2: up to. Tony, great conversation. Really appreciate you being here today. 287 00:13:52,400 --> 00:13:56,400 Speaker 1: Appreciate you, Steve. Thanks, Thank you very much. 288 00:13:56,400 --> 00:13:58,680 Speaker 2: All right up after the break more America's Voice Live, 289 00:13:58,760 --> 00:14:07,240 Speaker 2: So don't go anywhere on this Thursday. 290 00:14:04,400 --> 00:14:12,480 Speaker 7: Well, concerns are mounting over for President Joe Biden's use 291 00:14:12,520 --> 00:14:15,280 Speaker 7: of an auto pen to sign documents such as executive 292 00:14:15,360 --> 00:14:18,640 Speaker 7: orders and even the pardons he issued before leaving office. 293 00:14:19,200 --> 00:14:21,600 Speaker 2: For those who don't know, autopen signatures are ones that 294 00:14:21,600 --> 00:14:24,240 Speaker 2: are automatically produced by a machine. Now they copy the 295 00:14:24,280 --> 00:14:27,200 Speaker 2: person who they're imitating. But that's what it is. It's 296 00:14:27,240 --> 00:14:32,680 Speaker 2: an imitation, you see, as opposed to being authentic handwritten signatures. Well, 297 00:14:32,720 --> 00:14:35,360 Speaker 2: President Trump and many experts are suggesting that the Biden 298 00:14:35,440 --> 00:14:38,160 Speaker 2: pardons may now be challenged in light of the disclosures 299 00:14:38,200 --> 00:14:41,320 Speaker 2: of the autopen being used. Here me to discuss this. 300 00:14:41,440 --> 00:14:44,960 Speaker 2: The chair at the Constitutional Rights Packed, Larry Ward. Larry 301 00:14:45,040 --> 00:14:46,080 Speaker 2: nice to see you today. 302 00:14:46,960 --> 00:14:47,960 Speaker 5: Thankks for having me. 303 00:14:50,080 --> 00:14:52,640 Speaker 2: Well, let's talk about this. I've talked to some different 304 00:14:52,680 --> 00:14:56,120 Speaker 2: attorney friends of mine and they said, look, in this 305 00:14:56,200 --> 00:14:58,560 Speaker 2: day and age, the autopen gets used by governors and 306 00:14:58,960 --> 00:15:01,200 Speaker 2: people make contract on email. 307 00:15:00,920 --> 00:15:01,480 Speaker 1: And so forth. 308 00:15:01,560 --> 00:15:04,920 Speaker 2: But there's a lot of concern about the autopan if 309 00:15:05,480 --> 00:15:13,280 Speaker 2: the president, for example, didn't know that he was authorizing something, 310 00:15:13,480 --> 00:15:16,360 Speaker 2: which would be a fair question in Joe Biden's case, is. 311 00:15:16,360 --> 00:15:18,760 Speaker 1: The autopen legitimate? That's the question. 312 00:15:20,240 --> 00:15:21,600 Speaker 5: That is a good question. 313 00:15:21,720 --> 00:15:23,360 Speaker 8: It is going to be a high bar for the 314 00:15:23,400 --> 00:15:27,600 Speaker 8: Trump team to, you know, to mount evidence to actually 315 00:15:28,080 --> 00:15:31,120 Speaker 8: pull these executive orders back, pull these pardons back. 316 00:15:31,760 --> 00:15:33,480 Speaker 5: I think there's a case, and I think they should 317 00:15:33,480 --> 00:15:34,360 Speaker 5: go forward. 318 00:15:34,080 --> 00:15:38,160 Speaker 8: Because just the disclosure alone will tell us a lot. Because, 319 00:15:38,400 --> 00:15:43,080 Speaker 8: let's be honest, the Biden wasn't making any decisions himself. 320 00:15:43,160 --> 00:15:44,960 Speaker 8: I mean, you can go back to the president when 321 00:15:44,960 --> 00:15:47,800 Speaker 8: he was actually signing himself. If you remember when he 322 00:15:47,880 --> 00:15:49,600 Speaker 8: was signing the executive orders. I think it was one 323 00:15:49,640 --> 00:15:51,920 Speaker 8: of the last times you get it on television because 324 00:15:51,960 --> 00:15:54,000 Speaker 8: he said, well, I don't even what is this SI 325 00:15:54,000 --> 00:15:56,920 Speaker 8: I'm signing. I don't know what I'm signing, And they 326 00:15:56,960 --> 00:15:59,480 Speaker 8: had to tell him what he was signing. So even 327 00:15:59,480 --> 00:16:02,840 Speaker 8: when he was there, he wasn't really there, right, So 328 00:16:02,840 --> 00:16:05,680 Speaker 8: so there are there are lots of legitimate questions and 329 00:16:05,760 --> 00:16:08,840 Speaker 8: where did they get this idea to have a you know, 330 00:16:09,040 --> 00:16:12,560 Speaker 8: a basically a brain dead president signed all. 331 00:16:12,440 --> 00:16:13,480 Speaker 5: Of these executive omers. 332 00:16:13,480 --> 00:16:17,440 Speaker 8: Well, they got this idea from Communist Russia, from the USSR, 333 00:16:17,920 --> 00:16:21,040 Speaker 8: because there was a guy named Lev Kamenev who was 334 00:16:21,160 --> 00:16:25,560 Speaker 8: an aide of then founder of the USSR, Vladimir Lenin. 335 00:16:25,960 --> 00:16:28,520 Speaker 8: And Vladimir Lenin was suffered a whole bunch of strokes 336 00:16:28,520 --> 00:16:30,320 Speaker 8: towards the end of his uh, towards the end of 337 00:16:30,360 --> 00:16:32,560 Speaker 8: his life, and was was you know, a lot of 338 00:16:32,560 --> 00:16:36,280 Speaker 8: people believed was completely a vegetable. And and you know, 339 00:16:36,680 --> 00:16:39,920 Speaker 8: Lev just took his hand and moved around the paper. 340 00:16:39,920 --> 00:16:41,240 Speaker 8: I don't know if he kept his hand straight and 341 00:16:41,280 --> 00:16:43,600 Speaker 8: moved the paper underneath him or moved his hand to 342 00:16:43,640 --> 00:16:45,520 Speaker 8: sign sign whatever he needed to sign. 343 00:16:46,240 --> 00:16:47,480 Speaker 5: So that's where they got the idea. 344 00:16:47,520 --> 00:16:49,960 Speaker 8: That's where they the Democrats get most of their ideas 345 00:16:50,240 --> 00:16:52,400 Speaker 8: is from. 346 00:16:51,480 --> 00:16:53,320 Speaker 1: Well some truth to that. 347 00:16:53,760 --> 00:16:56,040 Speaker 2: I think the first time that had happened in modern 348 00:16:56,040 --> 00:16:58,520 Speaker 2: American history was two thousand eleven with the Barack Obama 349 00:16:58,600 --> 00:17:01,400 Speaker 2: and it was challenged, but they said, because he had 350 00:17:01,440 --> 00:17:04,439 Speaker 2: authorized and he's fully aware of it, it was it 351 00:17:04,480 --> 00:17:04,879 Speaker 2: was legal. 352 00:17:04,920 --> 00:17:06,720 Speaker 1: It was constitutional. Okay, so we can debate that a 353 00:17:06,760 --> 00:17:07,040 Speaker 1: little bit. 354 00:17:07,080 --> 00:17:08,760 Speaker 2: But if the president is unaware and you have to 355 00:17:08,800 --> 00:17:11,919 Speaker 2: go back to the report that said that Joe Biden 356 00:17:12,040 --> 00:17:15,240 Speaker 2: was basically a likable elderly man with a poor memory, 357 00:17:15,760 --> 00:17:20,000 Speaker 2: did he have a capacity to issue the directive to 358 00:17:20,040 --> 00:17:22,320 Speaker 2: say go ahead, yes, use the auto pen, sign my 359 00:17:22,400 --> 00:17:24,600 Speaker 2: name to it. We also know that Mike Johnson asked 360 00:17:24,640 --> 00:17:28,840 Speaker 2: him about liquid natural gas deliveries to Europe and elsewhere. 361 00:17:28,840 --> 00:17:30,760 Speaker 2: He said, I never signed that, and they had to 362 00:17:30,800 --> 00:17:33,639 Speaker 2: show him, yes, you did. Here it is clearly demonstrating 363 00:17:33,680 --> 00:17:36,359 Speaker 2: again Larry, that he was not in command of his faculties, 364 00:17:36,400 --> 00:17:38,600 Speaker 2: didn't know what he was signing or not signing for 365 00:17:38,640 --> 00:17:42,360 Speaker 2: that matter. But one of my attorney friends said this, 366 00:17:42,640 --> 00:17:45,280 Speaker 2: the problem you face is how do you approve it? 367 00:17:45,640 --> 00:17:46,640 Speaker 1: How long does it take? 368 00:17:46,720 --> 00:17:49,560 Speaker 2: And at some point you just end up being stuck 369 00:17:49,600 --> 00:17:52,040 Speaker 2: with it because it's taken too long to remedy. 370 00:17:52,320 --> 00:17:53,280 Speaker 1: What do you say to that. 371 00:17:54,600 --> 00:17:55,879 Speaker 5: The Partons are something different? 372 00:17:55,880 --> 00:18:00,520 Speaker 8: Because the Partons actually give you legal cover for for 373 00:18:00,680 --> 00:18:03,440 Speaker 8: basically their entire life, for that period of time. So 374 00:18:03,480 --> 00:18:06,119 Speaker 8: it's not just an executive order that that Trump could 375 00:18:06,640 --> 00:18:08,480 Speaker 8: easily just overturn. 376 00:18:09,040 --> 00:18:10,520 Speaker 5: Uh. The pardons are something that. 377 00:18:10,400 --> 00:18:14,280 Speaker 8: There is an actual you know, uh, real life consequence 378 00:18:14,320 --> 00:18:17,400 Speaker 8: over time, if they were really pardoned by the president 379 00:18:17,520 --> 00:18:20,200 Speaker 8: or if you know, they were pardoned by his staff. 380 00:18:20,200 --> 00:18:22,600 Speaker 8: Like you got to remember everything that that that the 381 00:18:22,640 --> 00:18:24,879 Speaker 8: president said. How many times did he say he was 382 00:18:24,920 --> 00:18:27,359 Speaker 8: going to get in trouble by his staff? How many 383 00:18:27,400 --> 00:18:30,280 Speaker 8: times did he say, you know, I've been fired or 384 00:18:30,560 --> 00:18:35,200 Speaker 8: you know he was he was being Yeah, too many. 385 00:18:34,960 --> 00:18:35,639 Speaker 5: To count, it was. 386 00:18:35,840 --> 00:18:38,880 Speaker 8: You know, it's obvious that he wasn't of his faculties. 387 00:18:39,160 --> 00:18:41,359 Speaker 8: The the the one thing about the Mike Johnson story 388 00:18:41,400 --> 00:18:44,040 Speaker 8: that really rings true in terms of evidence is I 389 00:18:44,119 --> 00:18:47,879 Speaker 8: believe that that executive order that he signed, uh, he 390 00:18:47,960 --> 00:18:51,399 Speaker 8: actually undid it the next day, you know, on the 391 00:18:51,480 --> 00:18:54,840 Speaker 8: energy one. So when he actually saw it, he took 392 00:18:54,920 --> 00:18:57,240 Speaker 8: action and made it the other way. So that there there, 393 00:18:57,280 --> 00:18:59,720 Speaker 8: there you go look at that one particular and say, hey, 394 00:19:00,240 --> 00:19:03,840 Speaker 8: you know, what was the circumstances around this executive order 395 00:19:03,920 --> 00:19:04,920 Speaker 8: being signed by otopen. 396 00:19:06,880 --> 00:19:09,160 Speaker 2: I also read today and I think that you might 397 00:19:09,160 --> 00:19:11,720 Speaker 2: have seen this as well, that one of the sentences 398 00:19:11,720 --> 00:19:13,960 Speaker 2: that was commuted. When the commutation is handed down by 399 00:19:14,040 --> 00:19:16,600 Speaker 2: Joe Biden to a drug dealer, to a cocaine dealer. 400 00:19:16,600 --> 00:19:20,120 Speaker 2: I believe in Florida, this guy just re arrested, maybe 401 00:19:20,119 --> 00:19:24,959 Speaker 2: it was Alabama, just rearrested for a series of drug crimes, 402 00:19:25,000 --> 00:19:27,120 Speaker 2: including cocaine. I wonder if he ever visited the White 403 00:19:27,160 --> 00:19:29,680 Speaker 2: House and lost something on his stroll through. It makes 404 00:19:29,720 --> 00:19:32,440 Speaker 2: a guy wonder why a guy would get a commutation 405 00:19:32,480 --> 00:19:36,399 Speaker 2: who's a lifelong drug dealer and now he's back in 406 00:19:36,560 --> 00:19:39,760 Speaker 2: jail because he is a drug dealer. It just makes 407 00:19:39,840 --> 00:19:41,399 Speaker 2: you wonder about all these things. And I don't know 408 00:19:41,400 --> 00:19:43,560 Speaker 2: how much can be corrected Larry, if any of it. 409 00:19:44,560 --> 00:19:46,600 Speaker 2: But that's not the way we're supposed to do things, 410 00:19:46,600 --> 00:19:48,960 Speaker 2: Which is why maybe Donald Trump was out there every 411 00:19:49,000 --> 00:19:51,359 Speaker 2: time signs an executive or which he's going to do 412 00:19:51,440 --> 00:19:53,640 Speaker 2: here in oh forty minutes or so on a new 413 00:19:53,640 --> 00:19:55,600 Speaker 2: one on the Department of Education. He will do it 414 00:19:55,680 --> 00:19:57,960 Speaker 2: in public in front of the whole world, won'te. 415 00:19:58,800 --> 00:20:01,480 Speaker 8: And he'll explain it, and he has such a grasp 416 00:20:01,560 --> 00:20:05,520 Speaker 8: of what he's signing, and it's exactly, it's exactly how 417 00:20:05,880 --> 00:20:06,320 Speaker 8: you know our. 418 00:20:06,600 --> 00:20:07,520 Speaker 5: System should work. 419 00:20:07,560 --> 00:20:10,159 Speaker 8: I mean you should you should actually have to be 420 00:20:10,240 --> 00:20:15,080 Speaker 8: able to speak, speak about and communicate the the orders 421 00:20:15,160 --> 00:20:17,960 Speaker 8: and the laws that you're signing into uh in the 422 00:20:18,040 --> 00:20:20,160 Speaker 8: law that you know that that's the way it should work, 423 00:20:20,400 --> 00:20:22,320 Speaker 8: and and not have all of these auto pens that 424 00:20:22,359 --> 00:20:24,919 Speaker 8: have have everything be done in the darken night on 425 00:20:24,960 --> 00:20:28,119 Speaker 8: a Friday evening when nobody else is paying attention. You know, 426 00:20:28,320 --> 00:20:31,080 Speaker 8: maybe one way to fix this in the future, because yeah, 427 00:20:31,080 --> 00:20:33,879 Speaker 8: I hate when when the government always says, hey, you 428 00:20:33,880 --> 00:20:35,879 Speaker 8: know it was in competence. Here's how we fix it 429 00:20:35,920 --> 00:20:37,600 Speaker 8: in the future, and they forget about the crime that 430 00:20:37,760 --> 00:20:38,240 Speaker 8: was committed. 431 00:20:38,920 --> 00:20:39,840 Speaker 5: We can't forget. 432 00:20:39,600 --> 00:20:42,600 Speaker 8: About the the the issue. But there is a way 433 00:20:42,600 --> 00:20:45,600 Speaker 8: to fix it in the future. This biometrics everywhere make 434 00:20:45,760 --> 00:20:50,119 Speaker 8: the President of the United States use his fingerprint, uses 435 00:20:50,200 --> 00:20:53,800 Speaker 8: face I D there's ways to to ensure that the 436 00:20:53,840 --> 00:20:57,800 Speaker 8: president is aware on that particular document that they that 437 00:20:57,880 --> 00:21:00,840 Speaker 8: they are signing, signing it or using the autopen. 438 00:21:02,600 --> 00:21:04,600 Speaker 2: I guess my last question, Larry, real quick, do you 439 00:21:04,640 --> 00:21:09,639 Speaker 2: expect some of these pardons for sure to be legally 440 00:21:09,720 --> 00:21:11,439 Speaker 2: challenged at this point based on what we know? Give 441 00:21:11,480 --> 00:21:12,200 Speaker 2: you the last word. 442 00:21:13,160 --> 00:21:14,720 Speaker 5: I hope they are legally challenged. 443 00:21:14,760 --> 00:21:18,440 Speaker 8: If if not for anything else other than let's get 444 00:21:18,440 --> 00:21:20,520 Speaker 8: to the bottom of what happened in the Biden administration. 445 00:21:20,600 --> 00:21:24,080 Speaker 8: Let's get the disclosure. Let's bring this thing forward so 446 00:21:24,119 --> 00:21:26,960 Speaker 8: that the American people can find out exactly what happened 447 00:21:26,960 --> 00:21:27,879 Speaker 8: in the Biden administration. 448 00:21:28,200 --> 00:21:30,560 Speaker 5: Do I think that they'll win? Probably not. 449 00:21:33,280 --> 00:21:35,720 Speaker 1: Probably not. That's kind of where I come down, sadly. 450 00:21:35,760 --> 00:21:37,840 Speaker 2: But at least you have to do the right thing, 451 00:21:37,880 --> 00:21:40,719 Speaker 2: whether you're going to win or lose, have integrity, challenge 452 00:21:40,760 --> 00:21:42,040 Speaker 2: those signatures. 453 00:21:41,480 --> 00:21:43,520 Speaker 1: Do the right thing. Larry Ward, greatly appreciate you being 454 00:21:43,520 --> 00:21:44,159 Speaker 1: here as always. 455 00:21:44,920 --> 00:21:45,840 Speaker 5: Hey, thanks for having me. 456 00:21:45,840 --> 00:21:51,359 Speaker 2: All right, up after the break. To combat the drug cartels, 457 00:21:51,400 --> 00:21:55,679 Speaker 2: the Pentagon as deployed an American destroyer to assist with 458 00:21:55,680 --> 00:21:58,000 Speaker 2: America's military presence on the border with Mexico. 459 00:21:58,080 --> 00:22:00,639 Speaker 1: That's a big deal. We'll talk about it after the break, 460 00:22:08,160 --> 00:22:08,600 Speaker 1: all right. 461 00:22:08,640 --> 00:22:10,879 Speaker 2: Well, the Pentagon making good on Vice President ja d 462 00:22:11,040 --> 00:22:15,080 Speaker 2: Vance's promise to ramp up America's military presence. 463 00:22:14,760 --> 00:22:15,760 Speaker 1: At the border. 464 00:22:15,800 --> 00:22:19,119 Speaker 2: Recently, a US Navy destroyer of the USS Gravelly, was 465 00:22:19,160 --> 00:22:22,280 Speaker 2: deployed to the Gulf of America near the Texas Mexico 466 00:22:22,320 --> 00:22:26,280 Speaker 2: border as a response to the cartels using drone technology. 467 00:22:26,880 --> 00:22:29,960 Speaker 2: This comes after President Trump signed an executive order designating 468 00:22:30,040 --> 00:22:35,080 Speaker 2: six Mexican drug cartels as foreign terrorist organizations. Hear me 469 00:22:35,160 --> 00:22:38,200 Speaker 2: to discuss this as the Chairman of the Border, Commerce 470 00:22:38,200 --> 00:22:41,359 Speaker 2: and Security Council. Nelson Maldo Nelson, Nice to see you 471 00:22:41,400 --> 00:22:41,959 Speaker 2: here today. 472 00:22:42,000 --> 00:22:44,200 Speaker 1: This is a significant. 473 00:22:43,400 --> 00:22:47,679 Speaker 2: Move, to say the least, put a military ship in 474 00:22:47,800 --> 00:22:50,440 Speaker 2: the play here. It's a destroyer. That means it can reach, 475 00:22:50,520 --> 00:22:53,879 Speaker 2: it can do real damage. Would you be surprised, because 476 00:22:53,920 --> 00:22:56,879 Speaker 2: this is the question that Americans have, would you be 477 00:22:57,000 --> 00:23:00,200 Speaker 2: surprised to see the president take aim at some these 478 00:23:00,240 --> 00:23:06,119 Speaker 2: drug cartels with specific attacks inside sovereign Mexican territory. 479 00:23:08,400 --> 00:23:12,040 Speaker 9: Well, good afternoon, Steven, thanks for having me. Absolutely, Look, 480 00:23:12,600 --> 00:23:15,640 Speaker 9: this is the root cause. The root cause is the 481 00:23:15,680 --> 00:23:19,040 Speaker 9: Mexican and not just Mexican drug gangs because them that 482 00:23:19,080 --> 00:23:20,840 Speaker 9: I was is a Venezuelan gang. 483 00:23:21,520 --> 00:23:21,760 Speaker 1: Right. 484 00:23:22,119 --> 00:23:25,320 Speaker 9: So you have gangs that start from the Patagonia, so 485 00:23:25,320 --> 00:23:27,560 Speaker 9: South America, all the way to our southern border, and 486 00:23:27,600 --> 00:23:30,320 Speaker 9: honestly a lot of them are operating on this side 487 00:23:30,320 --> 00:23:32,040 Speaker 9: of the border as well. That's why we're trying to 488 00:23:32,119 --> 00:23:34,399 Speaker 9: round them up and sending them back home or sending 489 00:23:34,400 --> 00:23:37,240 Speaker 9: them somewhere where they certainly don't want to be. I 490 00:23:37,280 --> 00:23:40,440 Speaker 9: will say that having that ship across is a show 491 00:23:40,480 --> 00:23:43,640 Speaker 9: of power that we mean business. We need another one 492 00:23:43,680 --> 00:23:46,199 Speaker 9: also on the Pacific side, of my opinion, because what 493 00:23:46,280 --> 00:23:48,200 Speaker 9: we need to start looking is how do you start 494 00:23:48,240 --> 00:23:51,159 Speaker 9: blocking the fetanol and all the precursor materials that are 495 00:23:51,160 --> 00:23:54,280 Speaker 9: going into Mexico flowing into Mexico and getting in the 496 00:23:54,320 --> 00:23:59,840 Speaker 9: hands of the cartels through their customs points, checkpoints, and 497 00:24:00,040 --> 00:24:02,760 Speaker 9: they're in the reports of entries on the Pacific side, 498 00:24:03,040 --> 00:24:05,080 Speaker 9: and that's what we need to look at. The issue 499 00:24:05,080 --> 00:24:09,800 Speaker 9: here ultimately is the gang and how they transport their 500 00:24:09,920 --> 00:24:13,560 Speaker 9: drugs and humans. That is their business, drugs and humans, 501 00:24:13,800 --> 00:24:15,280 Speaker 9: whether they're going through maritime. 502 00:24:15,400 --> 00:24:20,000 Speaker 2: I think the person deeper Nelson, if I may be 503 00:24:20,119 --> 00:24:22,199 Speaker 2: so bold, I think the problem is deeper, and I 504 00:24:22,240 --> 00:24:25,560 Speaker 2: mean this with AMLO, the previous present, before Claudia Shinbaum 505 00:24:26,240 --> 00:24:29,320 Speaker 2: took over, Mexico is basically a one party state. At 506 00:24:29,320 --> 00:24:33,440 Speaker 2: this point, corruption runs so deep that there was deep 507 00:24:33,480 --> 00:24:37,520 Speaker 2: connections between the administration of AMLO and these cartels. 508 00:24:37,640 --> 00:24:38,880 Speaker 1: I don't know the level of. 509 00:24:40,280 --> 00:24:44,480 Speaker 2: Cooperation between the current administration these cartels, but they are 510 00:24:44,560 --> 00:24:47,359 Speaker 2: part and parcel to what happens in Mexico, and therefore 511 00:24:47,400 --> 00:24:50,320 Speaker 2: this corruption runs so deep. I wonder if the lever 512 00:24:50,440 --> 00:24:53,439 Speaker 2: seriously take on the cartels until America does something bold 513 00:24:53,440 --> 00:24:56,840 Speaker 2: and what I mean by that paramilitary organization goes and 514 00:24:56,880 --> 00:25:00,080 Speaker 2: takes out a cartel leader or hits a cartel distribution 515 00:25:00,640 --> 00:25:03,399 Speaker 2: or something of that nature, and then the question becomes 516 00:25:03,400 --> 00:25:06,960 Speaker 2: how to shine bomb and the Mexican government respond. 517 00:25:07,800 --> 00:25:10,520 Speaker 9: Well, I'll tell you that needs to happen in my opinion, 518 00:25:10,640 --> 00:25:14,160 Speaker 9: But you're right that there are many politicians. 519 00:25:13,440 --> 00:25:15,720 Speaker 5: That are knee deep into this problem. 520 00:25:16,040 --> 00:25:18,920 Speaker 9: How they got elected, There's many of them, have been 521 00:25:18,920 --> 00:25:22,840 Speaker 9: in the news all over Mexico. There's more than overwhelming 522 00:25:23,040 --> 00:25:27,840 Speaker 9: evidence of them using gasoline US gas going over the 523 00:25:27,920 --> 00:25:31,080 Speaker 9: southern border of the United States into Mexico and selling 524 00:25:31,320 --> 00:25:35,560 Speaker 9: gasoline and using that gas to fund their campaigns. There's 525 00:25:35,680 --> 00:25:40,400 Speaker 9: the governor of Tamolipas, There's a governor of Sinaloa. There's 526 00:25:40,440 --> 00:25:43,440 Speaker 9: some people in the federal government. Those people they need 527 00:25:43,440 --> 00:25:45,679 Speaker 9: to route them out. The problem is because you have 528 00:25:45,760 --> 00:25:49,719 Speaker 9: Amlo and he's still calling the shots. Shamebaum is there 529 00:25:50,000 --> 00:25:53,680 Speaker 9: looking like a puppet from many cases, though she probably 530 00:25:53,720 --> 00:25:57,359 Speaker 9: means well, she's restricted because he has a forcehold both 531 00:25:57,400 --> 00:25:59,639 Speaker 9: on the Senate and on the House, of which the 532 00:25:59,720 --> 00:26:02,000 Speaker 9: leader ships of the Senate and the House are in 533 00:26:02,119 --> 00:26:05,520 Speaker 9: collusion and have plenty of evidence in Mexico that they 534 00:26:05,760 --> 00:26:10,760 Speaker 9: they will not investigate for unknown reasons or maybe because 535 00:26:10,760 --> 00:26:14,280 Speaker 9: again they're all colluded, and ultimately those people need to 536 00:26:14,320 --> 00:26:17,480 Speaker 9: be ratted out. The President of Mexico needs to name 537 00:26:17,680 --> 00:26:21,040 Speaker 9: the people that need to be investigated, or the US 538 00:26:21,320 --> 00:26:24,640 Speaker 9: could do that too, because ultimately we know who's doing 539 00:26:24,640 --> 00:26:27,200 Speaker 9: the bad stuff over there, and the question is are 540 00:26:27,200 --> 00:26:29,480 Speaker 9: we going to name those people? Are we going to 541 00:26:29,560 --> 00:26:31,640 Speaker 9: ask for their extradition the same way as we got 542 00:26:31,640 --> 00:26:35,200 Speaker 9: the twenty nine others, because some of these are in collusions. 543 00:26:35,200 --> 00:26:37,840 Speaker 9: If you're in collusions with transorganized crime, that means you 544 00:26:37,880 --> 00:26:40,199 Speaker 9: are part of the organized crime, whether you're in an 545 00:26:40,200 --> 00:26:44,280 Speaker 9: elected position, an appointed position, or any other way around it. 546 00:26:46,080 --> 00:26:47,159 Speaker 1: Nelson, You're exactly right. 547 00:26:47,160 --> 00:26:49,040 Speaker 2: If you're getting paid, you're part of the problem. You're 548 00:26:49,040 --> 00:26:51,040 Speaker 2: part of the corruption which is run deep in Mexico 549 00:26:51,119 --> 00:26:55,639 Speaker 2: for decades, as everyone knows. Greatly appreciate your insights here today, Nelson. 550 00:26:55,640 --> 00:27:00,239 Speaker 2: Thank you very much, Steve, thanks for having me all 551 00:27:00,320 --> 00:27:03,040 Speaker 2: right after the break, how are President Trump's AI initiatives 552 00:27:03,040 --> 00:27:06,360 Speaker 2: shaping out after his announcement of Stargate back in his 553 00:27:06,359 --> 00:27:08,920 Speaker 2: first day's in office. That's coming up next and more 554 00:27:09,160 --> 00:27:19,679 Speaker 2: on America's Voice Live. President Trump wasted no time in 555 00:27:19,720 --> 00:27:23,720 Speaker 2: prioritizing American innovation announcing the Stargate project back in his 556 00:27:23,840 --> 00:27:24,439 Speaker 2: first days. 557 00:27:24,440 --> 00:27:25,840 Speaker 1: In his second term, it's a. 558 00:27:25,880 --> 00:27:29,840 Speaker 2: Historic five hundred billion dollar investment in AI and data 559 00:27:29,840 --> 00:27:31,520 Speaker 2: center infrastructure within the United States. 560 00:27:31,600 --> 00:27:33,240 Speaker 1: This moves sent a clear message. 561 00:27:33,520 --> 00:27:36,520 Speaker 2: Unlike his predecessor, this administration is committed to embracing and 562 00:27:36,560 --> 00:27:40,959 Speaker 2: strengthening the technology sector rather than undermining it. The impact 563 00:27:41,000 --> 00:27:44,560 Speaker 2: of Trump's pro business policies is already evident. Apple recently 564 00:27:44,560 --> 00:27:47,199 Speaker 2: announcing the plans to invest more than five hundred billion 565 00:27:47,240 --> 00:27:49,680 Speaker 2: dollars in the US hire twenty thousand new people over 566 00:27:49,720 --> 00:27:52,560 Speaker 2: the next four years, a major win for American jobs 567 00:27:52,600 --> 00:27:56,280 Speaker 2: and economic growth. Joining now is the Net Choice Director 568 00:27:56,320 --> 00:27:58,400 Speaker 2: of Policy, Patrick Hedger, Patrick. 569 00:27:58,119 --> 00:28:00,920 Speaker 1: Nice to see you today. Hey, thank you for having me. 570 00:28:02,600 --> 00:28:05,439 Speaker 2: Look, I think it's fair to say, and this is 571 00:28:05,440 --> 00:28:07,040 Speaker 2: going to be quite a statement. The world is going 572 00:28:07,080 --> 00:28:08,840 Speaker 2: to change more in the next ten years than it 573 00:28:08,880 --> 00:28:11,480 Speaker 2: has the last ten thousand, and the major driver, the 574 00:28:11,560 --> 00:28:14,639 Speaker 2: biggest single reason for that is AI. 575 00:28:14,960 --> 00:28:15,920 Speaker 1: It's going to be part. 576 00:28:15,720 --> 00:28:20,640 Speaker 2: Of every aspect of our life, from entertainment to logistics, 577 00:28:20,680 --> 00:28:23,960 Speaker 2: to groceries in the refrigerator, all of it. 578 00:28:24,119 --> 00:28:25,080 Speaker 1: AI is going. 579 00:28:24,960 --> 00:28:29,040 Speaker 2: To be the single biggest driving factor of human life 580 00:28:29,040 --> 00:28:30,479 Speaker 2: on this planet going forward. 581 00:28:30,920 --> 00:28:31,840 Speaker 1: Do you agree with that? 582 00:28:33,640 --> 00:28:36,000 Speaker 10: I think that's well within the realm of possibility. What 583 00:28:36,040 --> 00:28:38,720 Speaker 10: we are seeing here is not just a new technology, 584 00:28:38,720 --> 00:28:41,440 Speaker 10: but a new general purpose technology. I think the best 585 00:28:41,440 --> 00:28:43,920 Speaker 10: way to think about AI is to think about the 586 00:28:43,960 --> 00:28:48,080 Speaker 10: advent and adoption of electricity itself, and so that you're 587 00:28:48,120 --> 00:28:52,320 Speaker 10: going to have devices and industries that are powered both 588 00:28:52,360 --> 00:28:56,600 Speaker 10: by electricity but also have an AI component that supercharges 589 00:28:56,640 --> 00:28:59,480 Speaker 10: their capabilities. So I think it's certainly fair to frame 590 00:28:59,520 --> 00:28:59,960 Speaker 10: it that way. 591 00:29:02,400 --> 00:29:02,800 Speaker 1: Certainly. 592 00:29:02,880 --> 00:29:05,480 Speaker 2: I mean AI is already you know, people all know 593 00:29:05,480 --> 00:29:08,239 Speaker 2: about chat, GBT or rock or whatever they look at 594 00:29:08,280 --> 00:29:10,160 Speaker 2: and they have fun with that and they you know, 595 00:29:10,840 --> 00:29:13,560 Speaker 2: I'm sure there are high school kids writing their papers 596 00:29:13,600 --> 00:29:17,120 Speaker 2: their term papers using AI and not using their brains, 597 00:29:17,960 --> 00:29:23,600 Speaker 2: but in a sense of using AI to diagnose illness. 598 00:29:23,760 --> 00:29:26,320 Speaker 2: I mean, this is one area that has been incredibly 599 00:29:26,760 --> 00:29:29,720 Speaker 2: important going forward. If you can take lab analysis of 600 00:29:29,720 --> 00:29:32,440 Speaker 2: your blood and have it evaluated by AI, we're going 601 00:29:32,520 --> 00:29:34,840 Speaker 2: to save lives, Patrick, That's pretty clear. 602 00:29:34,600 --> 00:29:34,959 Speaker 1: Isn't it. 603 00:29:35,920 --> 00:29:37,400 Speaker 10: Yeah, We're going to be able to save lives in 604 00:29:37,400 --> 00:29:41,200 Speaker 10: the medical space by tailoring medicine to the individuals by 605 00:29:41,280 --> 00:29:43,960 Speaker 10: reducing side effects. AI is very good for that. It's 606 00:29:44,040 --> 00:29:46,880 Speaker 10: very good at finding disease way ahead of time at 607 00:29:46,880 --> 00:29:50,040 Speaker 10: a point when it is far more treatable. But we're 608 00:29:50,080 --> 00:29:54,200 Speaker 10: also talking about AI saving lives against national natural disasters 609 00:29:54,240 --> 00:29:57,800 Speaker 10: as well. Just recently, Google launched satellites that are going 610 00:29:57,880 --> 00:30:01,760 Speaker 10: to use AI technology to enhance the ability to predict 611 00:30:01,840 --> 00:30:04,840 Speaker 10: wildfires so we don't have to see what we saw 612 00:30:04,920 --> 00:30:09,440 Speaker 10: in southern California earlier this year ever again, and things 613 00:30:09,480 --> 00:30:12,640 Speaker 10: like that. Being able to predict types of natural disasters 614 00:30:12,720 --> 00:30:15,320 Speaker 10: certain weather way ahead of time is going to save 615 00:30:15,360 --> 00:30:16,360 Speaker 10: a lot of lives too. 616 00:30:18,280 --> 00:30:20,480 Speaker 2: Yeah, in fairness, I could have predicted the wildfires in 617 00:30:20,520 --> 00:30:23,160 Speaker 2: California when you have many deadfalls on the ground. But 618 00:30:23,280 --> 00:30:25,960 Speaker 2: I appreciate your point, Patrick, and I take it. But 619 00:30:26,600 --> 00:30:30,120 Speaker 2: there are also downsides of this. I believe that twenty 620 00:30:30,160 --> 00:30:33,240 Speaker 2: twenty five is the last model year for motor vehicles 621 00:30:33,720 --> 00:30:36,000 Speaker 2: that do not have to have automatic kill switches that 622 00:30:36,040 --> 00:30:38,480 Speaker 2: are run by AI, which will be in next year's 623 00:30:38,520 --> 00:30:39,920 Speaker 2: model of cars. 624 00:30:39,920 --> 00:30:41,440 Speaker 1: If anybody hasn't heard about this. 625 00:30:41,440 --> 00:30:44,480 Speaker 2: The car is going to monitor you if you get 626 00:30:44,480 --> 00:30:46,880 Speaker 2: a little bit sloppy behind the wheel, or veer a 627 00:30:46,880 --> 00:30:49,280 Speaker 2: little bit or do whatever. It's going to assume that 628 00:30:49,320 --> 00:30:51,719 Speaker 2: maybe you're under the influence of alcohol. But that's not 629 00:30:51,720 --> 00:30:53,480 Speaker 2: necessarily true. If you have a mother with a couple 630 00:30:53,480 --> 00:30:55,200 Speaker 2: of kids in the car, she's distract those in the 631 00:30:55,200 --> 00:30:57,400 Speaker 2: car shuts down, Well, it shuts it down. 632 00:30:57,440 --> 00:30:59,800 Speaker 1: Where is it a safe neighborhood? Not a safe neighborhood. 633 00:30:59,800 --> 00:31:01,840 Speaker 1: I mean, these are things that are concerning to me, 634 00:31:01,920 --> 00:31:04,360 Speaker 1: and that's the overreach of AI. 635 00:31:04,960 --> 00:31:06,680 Speaker 2: What do you say to those sorts of concerns. 636 00:31:07,800 --> 00:31:10,560 Speaker 10: Yeah, I hear those concerns. As a civil libertarian, I 637 00:31:10,600 --> 00:31:14,160 Speaker 10: completely sympathize with those concerns and they concern me as well. 638 00:31:14,320 --> 00:31:16,240 Speaker 10: But I don't see those as problems with AI. I 639 00:31:16,280 --> 00:31:18,560 Speaker 10: see those as problems with government. And we need to 640 00:31:18,600 --> 00:31:21,360 Speaker 10: make sure that we keep regulatory agencies in check a 641 00:31:21,400 --> 00:31:24,240 Speaker 10: lot like what this administration is doing right now, and 642 00:31:24,400 --> 00:31:26,960 Speaker 10: ensure that AI is being used in ways that are 643 00:31:27,080 --> 00:31:31,640 Speaker 10: enhancing our experiences and not being used in ways that 644 00:31:31,720 --> 00:31:35,840 Speaker 10: invade our privacy. As you suggested, there with that example. 645 00:31:35,880 --> 00:31:38,840 Speaker 10: So that's why we just submitted comments to the White House. 646 00:31:38,880 --> 00:31:42,280 Speaker 10: The White House is asked for information related to an 647 00:31:42,320 --> 00:31:44,960 Speaker 10: AI action plan, and one of the things that Net 648 00:31:45,040 --> 00:31:49,160 Speaker 10: Choice that we emphasized was putting together and backing a 649 00:31:49,320 --> 00:31:52,840 Speaker 10: national data Privacy framework because AI is not just powered 650 00:31:52,880 --> 00:31:55,280 Speaker 10: by electricity, it's powered by data, so we can get 651 00:31:55,280 --> 00:31:58,600 Speaker 10: good privacy protections in place. That's a great step towards 652 00:31:58,720 --> 00:32:02,480 Speaker 10: making sure that government doesn't use AI to abuse civil liberties. 653 00:32:03,920 --> 00:32:06,360 Speaker 2: Yeah, and the last concern, of course is the AI 654 00:32:06,440 --> 00:32:10,720 Speaker 2: applications on the battlefield, which will be many unmanned drones, 655 00:32:10,840 --> 00:32:14,479 Speaker 2: unmanned aircraft, unmanned robots, unmanned. 656 00:32:14,520 --> 00:32:16,880 Speaker 1: Well they look like dogs, are called a robot dog. 657 00:32:16,920 --> 00:32:18,640 Speaker 2: You've seen all of these things, of course, that are 658 00:32:18,800 --> 00:32:22,960 Speaker 2: armed and lethal, and if they go off onto the battlefield, 659 00:32:22,960 --> 00:32:25,840 Speaker 2: there is no human component to real those things back in. 660 00:32:25,880 --> 00:32:28,400 Speaker 2: I mean, that's kind of a nightmare Stephen King type 661 00:32:28,400 --> 00:32:30,240 Speaker 2: of scenario, but it's also one that we all think 662 00:32:30,280 --> 00:32:33,520 Speaker 2: about out here. So there is a balance out there. 663 00:32:33,560 --> 00:32:35,160 Speaker 2: And I'll give you the last word on all of 664 00:32:35,200 --> 00:32:37,760 Speaker 2: this is to you know, there's good but as you 665 00:32:37,800 --> 00:32:39,400 Speaker 2: pointed out, a bad government can. 666 00:32:39,360 --> 00:32:42,160 Speaker 1: Create abuse of the power. Patrick, last word to you. 667 00:32:43,040 --> 00:32:43,280 Speaker 2: Yeah. 668 00:32:43,320 --> 00:32:43,880 Speaker 1: Absolutely. 669 00:32:43,920 --> 00:32:46,240 Speaker 10: The one thing I'll say Hollywood got right about AI 670 00:32:46,320 --> 00:32:48,800 Speaker 10: is if there's a bad AI out there and the terminator, 671 00:32:48,840 --> 00:32:51,280 Speaker 10: you're going to want one for yourself. And I got 672 00:32:51,320 --> 00:32:54,800 Speaker 10: news for you. The Chinese already have very advanced, sophisticated 673 00:32:54,800 --> 00:32:58,040 Speaker 10: AI models that they're using in all of these applications, 674 00:32:58,240 --> 00:33:01,800 Speaker 10: including defense. So we don't want to unilaterally disarm ourselves 675 00:33:01,800 --> 00:33:03,240 Speaker 10: while China steam rolls. 676 00:33:03,000 --> 00:33:03,720 Speaker 1: Ahead on AI. 677 00:33:04,080 --> 00:33:05,880 Speaker 10: We need to keep pace, but we have to do 678 00:33:05,880 --> 00:33:06,760 Speaker 10: it in a smart way. 679 00:33:08,320 --> 00:33:11,400 Speaker 2: I agreed, and I agree with you. I could use 680 00:33:11,440 --> 00:33:14,040 Speaker 2: a terminator. I mean, who couldn't on any given Thursday. 681 00:33:14,400 --> 00:33:17,200 Speaker 2: Patrick Hendrick, greatly appreciate you being here, my friend. Thank 682 00:33:17,240 --> 00:33:17,880 Speaker 2: you very much. 683 00:33:18,720 --> 00:33:19,080 Speaker 5: Thank you. 684 00:33:19,880 --> 00:33:22,880 Speaker 2: All right, Well, the IRS is the largest collection agency 685 00:33:22,880 --> 00:33:23,200 Speaker 2: in the world. 686 00:33:23,200 --> 00:33:25,040 Speaker 1: They'll use AI to come get you too, someday. I 687 00:33:25,080 --> 00:33:25,560 Speaker 1: guarantee you. 688 00:33:25,600 --> 00:33:29,520 Speaker 2: That April fifteenth fast approaching. It's more aggressive than ever 689 00:33:29,920 --> 00:33:30,840 Speaker 2: in twenty twenty five. 690 00:33:30,960 --> 00:33:32,160 Speaker 1: Enforcement has ramped up. 691 00:33:32,160 --> 00:33:34,560 Speaker 2: And if you owe back taxes or have unfiled returns 692 00:33:35,160 --> 00:33:36,240 Speaker 2: and look, waiting. 693 00:33:36,000 --> 00:33:38,080 Speaker 1: Is just not an option. The longer you do, the 694 00:33:38,120 --> 00:33:39,440 Speaker 1: worse it gets. It's that simple. 695 00:33:39,520 --> 00:33:42,000 Speaker 2: Ignoring your tax troubles is the worst thing you can 696 00:33:42,040 --> 00:33:45,760 Speaker 2: possibly do. April fifteenth marks another tax year that has 697 00:33:45,800 --> 00:33:48,840 Speaker 2: passed you. By getting ahead of this now is the 698 00:33:48,920 --> 00:33:54,000 Speaker 2: smart move. But never never contact the IRS alone, period. Instead, 699 00:33:54,120 --> 00:33:56,560 Speaker 2: let the experts at Tax Network USA handle it for you. 700 00:33:57,000 --> 00:33:59,600 Speaker 1: Talk with one of our strategists today. It's free. 701 00:33:59,640 --> 00:34:02,760 Speaker 2: Stop threatening letters, stop looking over your shoulder, protect yourself 702 00:34:02,760 --> 00:34:06,200 Speaker 2: from property seizures and bank levies. Don't let the IRS 703 00:34:06,240 --> 00:34:09,600 Speaker 2: control your future. Please call one eight hundred nine zero 704 00:34:09,680 --> 00:34:12,279 Speaker 2: five eight thousand. That's one eight hundred nine zero five 705 00:34:12,280 --> 00:34:16,440 Speaker 2: eight thousand, or visit TNUSA dot com slash wrap April fifteenth. 706 00:34:17,239 --> 00:34:18,359 Speaker 1: I mean it's almost here. 707 00:34:18,719 --> 00:34:22,640 Speaker 2: Act now before it's too late with TNUSA dot com. 708 00:34:23,360 --> 00:34:25,920 Speaker 2: All right, still to come today, we'll have more America's 709 00:34:26,000 --> 00:34:33,319 Speaker 2: Voice Live after the break. All right, welcome back to 710 00:34:33,400 --> 00:34:34,279 Speaker 2: America's Voice Live. 711 00:34:34,320 --> 00:34:34,879 Speaker 1: We want to go. 712 00:34:34,880 --> 00:34:37,399 Speaker 2: Straight to the north lawn of the White House where 713 00:34:37,640 --> 00:34:40,600 Speaker 2: Congressman Virginia Fox or North Carolina is joining me here 714 00:34:40,600 --> 00:34:42,640 Speaker 2: on the program. Congresswoman, thank you for taking the time. 715 00:34:42,680 --> 00:34:44,200 Speaker 2: I know you're on the move. You only have a 716 00:34:44,200 --> 00:34:47,279 Speaker 2: couple of minutes here and I really appreciate it. But 717 00:34:47,360 --> 00:34:49,319 Speaker 2: Donald Trump is going to sign an executive order here 718 00:34:49,440 --> 00:34:52,640 Speaker 2: the next doh fifteen or twenty minutes that will basically 719 00:34:52,680 --> 00:34:55,000 Speaker 2: begin the dismantling of the Department of Education. 720 00:34:55,640 --> 00:34:56,759 Speaker 1: Tell me your thoughts on that. 721 00:34:59,640 --> 00:35:02,479 Speaker 3: Well, I always point out to people, and I'm sorry 722 00:35:02,560 --> 00:35:05,759 Speaker 3: I didn't bring my pocket copy the Constitution with me, 723 00:35:05,880 --> 00:35:10,920 Speaker 3: but the word education is not an enumerated power for 724 00:35:11,320 --> 00:35:13,160 Speaker 3: Congress to be doing. 725 00:35:13,640 --> 00:35:13,759 Speaker 8: So. 726 00:35:14,520 --> 00:35:17,840 Speaker 3: The founders rightfully said they were going to leave things 727 00:35:17,840 --> 00:35:20,120 Speaker 3: to the states and to the people, and education was 728 00:35:20,160 --> 00:35:20,760 Speaker 3: one of those. 729 00:35:21,200 --> 00:35:21,799 Speaker 2: So the. 730 00:35:23,560 --> 00:35:27,080 Speaker 3: Appointment or the development of the Education Committee was really 731 00:35:27,120 --> 00:35:33,719 Speaker 3: a bribe to Anya by President Carter. He wanted their 732 00:35:33,760 --> 00:35:36,480 Speaker 3: help to get elected, and they said, will help you 733 00:35:36,600 --> 00:35:39,560 Speaker 3: if you create the Department of Education. So that was 734 00:35:39,600 --> 00:35:42,600 Speaker 3: in nineteen eighty just before he went out. You know, 735 00:35:42,760 --> 00:35:45,600 Speaker 3: President Reagan said he would abandon it, but he didn't. 736 00:35:46,040 --> 00:35:48,319 Speaker 3: And so I've said all along, we do not need 737 00:35:48,360 --> 00:35:52,160 Speaker 3: a Department of Education at the federal level. It is unconstitutional. 738 00:35:52,480 --> 00:35:57,160 Speaker 3: We need to leave the education of our children and 739 00:35:57,239 --> 00:36:00,920 Speaker 3: our young adults to the states and to the people themselves. 740 00:36:02,760 --> 00:36:02,920 Speaker 1: Right. 741 00:36:02,960 --> 00:36:05,520 Speaker 2: It's not clear that Donald Trump can eliminate the Department 742 00:36:05,520 --> 00:36:08,080 Speaker 2: of Education altogether, but he can make several steps in 743 00:36:08,120 --> 00:36:10,000 Speaker 2: that direction. And you mentioned this, and I want to 744 00:36:10,040 --> 00:36:12,759 Speaker 2: ask you this, how detrimental in your estimation have these 745 00:36:12,880 --> 00:36:16,040 Speaker 2: unions been to our children. I mean, look, our scores 746 00:36:16,080 --> 00:36:19,279 Speaker 2: in math and reading and science are terrible. Ever since 747 00:36:19,280 --> 00:36:22,080 Speaker 2: the opening of the Department of Education, they have gone down. 748 00:36:22,120 --> 00:36:25,160 Speaker 1: But the unions have done pretty well for themselves. What 749 00:36:25,160 --> 00:36:25,839 Speaker 1: do you make of that? 750 00:36:28,320 --> 00:36:30,960 Speaker 3: Yes, the unions have done well. They kept the schools 751 00:36:31,000 --> 00:36:36,000 Speaker 3: closed during COVID, which was tremendously detrimental to our students. 752 00:36:36,120 --> 00:36:40,080 Speaker 3: Since we have spent over three trillion dollars on trying 753 00:36:40,080 --> 00:36:43,520 Speaker 3: to improve reading since nineteen sixty five, and as you say, 754 00:36:43,560 --> 00:36:48,320 Speaker 3: the scores have gone down since nineteen seventy nine, A 755 00:36:48,440 --> 00:36:52,360 Speaker 3: trillion dollars we are not spending money at the federal 756 00:36:52,440 --> 00:36:55,600 Speaker 3: level does not improve education. In fact, it makes it worse. 757 00:36:55,880 --> 00:36:58,920 Speaker 3: And you are right, one of the worst things in 758 00:36:58,920 --> 00:37:03,840 Speaker 3: this country are the unions. We do not need the 759 00:37:03,960 --> 00:37:08,200 Speaker 3: unions running the schools in this country. We're much better off. 760 00:37:08,640 --> 00:37:12,200 Speaker 3: I love charter schools, I love Christian schools. I love 761 00:37:12,280 --> 00:37:15,879 Speaker 3: school choice in general. I love what North Carolina is doing, 762 00:37:15,960 --> 00:37:19,520 Speaker 3: what Florida is doing in many other states, and that 763 00:37:19,680 --> 00:37:23,440 Speaker 3: is giving choice back to parents. The unions fight choice 764 00:37:23,560 --> 00:37:27,520 Speaker 3: tooth and nail. They want mediocrity in the schools and 765 00:37:27,560 --> 00:37:30,080 Speaker 3: that's not what we need in this country. You know, 766 00:37:30,120 --> 00:37:33,880 Speaker 3: we used to have the greatest higher education system in 767 00:37:33,920 --> 00:37:39,880 Speaker 3: the world and it has evolved into negative situation also, 768 00:37:40,360 --> 00:37:43,879 Speaker 3: so at all levels of education, we need to get 769 00:37:43,880 --> 00:37:45,360 Speaker 3: the unions out. 770 00:37:47,040 --> 00:37:48,840 Speaker 2: I just want to ask you one more question on 771 00:37:48,920 --> 00:37:50,800 Speaker 2: a different topic here that's been in the top of 772 00:37:50,800 --> 00:37:54,160 Speaker 2: the headlines, and that is the Department of Government Efficiency DOGE. 773 00:37:54,200 --> 00:37:56,840 Speaker 2: Of course, that is being spearheaded by Elon Musk. 774 00:37:57,280 --> 00:37:59,040 Speaker 1: His Tesla dealership. 775 00:37:58,600 --> 00:38:01,000 Speaker 2: Is being targeted by violent criminal around the country. And 776 00:38:01,080 --> 00:38:02,759 Speaker 2: it seems that a lot of the Democrats on the 777 00:38:02,800 --> 00:38:06,759 Speaker 2: other side of the aisle, your colleagues are celebrating the 778 00:38:06,760 --> 00:38:10,680 Speaker 2: fact that Elon Musk's Tesla dealerships are big attacked. Does 779 00:38:10,719 --> 00:38:14,680 Speaker 2: that have any place in American politics today? 780 00:38:16,640 --> 00:38:20,920 Speaker 3: Violence has no place in American politics today. And it 781 00:38:21,000 --> 00:38:25,680 Speaker 3: isn't interesting that they touted Elon Musk before he got 782 00:38:25,719 --> 00:38:30,319 Speaker 3: involved with President Trump. They wanted electric vehicles. They thought 783 00:38:30,440 --> 00:38:34,680 Speaker 3: that was the answer to our climate quote quote crisis. 784 00:38:34,719 --> 00:38:37,160 Speaker 3: We don't have a climate crisis in this country, and 785 00:38:38,600 --> 00:38:43,120 Speaker 3: electric vehicles are much worse than the other vehicles that 786 00:38:43,160 --> 00:38:47,160 Speaker 3: we have in this country. You see, they have no philosophy, 787 00:38:47,360 --> 00:38:50,719 Speaker 3: they have no consistent philosophy, they have no morality. So 788 00:38:50,800 --> 00:38:53,560 Speaker 3: as soon as they don't like Elon Musk, they started 789 00:38:53,560 --> 00:38:57,759 Speaker 3: attacking him, and they started attacking Tesla. It is ridiculous 790 00:38:57,800 --> 00:39:00,920 Speaker 3: and should be stopped. These people should be executed to 791 00:39:01,000 --> 00:39:02,479 Speaker 3: the fullest extent of the law. 792 00:39:04,800 --> 00:39:06,879 Speaker 2: Congress women, I greatly appreciate you taking a few minutes. 793 00:39:06,920 --> 00:39:08,680 Speaker 2: I know you're very busy today, you're on your way 794 00:39:08,680 --> 00:39:10,799 Speaker 2: in to watch the executive order gets signed. Thank you 795 00:39:10,840 --> 00:39:11,640 Speaker 2: for stopping by. 796 00:39:12,680 --> 00:39:16,040 Speaker 3: I am well, next time, ask me how I really feel, 797 00:39:16,080 --> 00:39:17,160 Speaker 3: and I'll tell you how. 798 00:39:17,080 --> 00:39:21,840 Speaker 2: That I truly appreciate that. We like common sense and 799 00:39:21,880 --> 00:39:24,480 Speaker 2: we like to the point. My friend, thank you very much. 800 00:39:26,440 --> 00:39:29,360 Speaker 3: And that's what I am and have been all my life. 801 00:39:29,400 --> 00:39:31,920 Speaker 3: God bless you, God bless. 802 00:39:31,680 --> 00:39:32,839 Speaker 1: You, God bless you. 803 00:39:32,880 --> 00:39:36,719 Speaker 2: There she is, all right, Virginia Fox, North Carolina, a 804 00:39:36,920 --> 00:39:41,120 Speaker 2: member of Congress and a spitfire, to say the least, 805 00:39:41,160 --> 00:39:41,720 Speaker 2: a spitfire. 806 00:39:41,719 --> 00:39:43,600 Speaker 1: We're gonna take a break here in America's Voice Live. 807 00:39:44,239 --> 00:39:53,840 Speaker 2: I'll be right back, all right, Welcome back to America's 808 00:39:53,880 --> 00:39:56,160 Speaker 2: Voice Live. Let's face it, none of us are getting 809 00:39:56,160 --> 00:39:57,600 Speaker 2: get any younger. I notice that today I look at 810 00:39:57,600 --> 00:39:58,719 Speaker 2: the mare, I said, who's the old guy? 811 00:39:59,200 --> 00:39:59,640 Speaker 1: Anyhow? 812 00:39:59,719 --> 00:40:02,680 Speaker 2: Stang healthy more important than ever. Millions of Americans are 813 00:40:02,680 --> 00:40:05,240 Speaker 2: always looking for ways to feel better, get in shape, 814 00:40:05,239 --> 00:40:08,240 Speaker 2: improve their overall health. And today we have a special guest, 815 00:40:08,600 --> 00:40:12,239 Speaker 2: doctor Holly Lucille here on behalf of Pure Health Research. 816 00:40:12,640 --> 00:40:13,799 Speaker 1: She's going to talk to us. 817 00:40:13,680 --> 00:40:16,480 Speaker 2: About some great health supplements that could increase your chances 818 00:40:16,520 --> 00:40:19,520 Speaker 2: of success with your health resolutions. You can look your best, 819 00:40:19,560 --> 00:40:22,120 Speaker 2: feel your best, and as a viewer, you're going to 820 00:40:22,160 --> 00:40:23,840 Speaker 2: have an extra special deal coming up in just a 821 00:40:23,880 --> 00:40:26,400 Speaker 2: moment as well. Doctor Holly, thank you for being here again. 822 00:40:27,120 --> 00:40:28,359 Speaker 6: It's always so great to be here. 823 00:40:28,400 --> 00:40:28,680 Speaker 3: Thank you. 824 00:40:31,000 --> 00:40:33,520 Speaker 2: I greatly appreciate so you said my haircut makes me 825 00:40:33,520 --> 00:40:38,880 Speaker 2: look younger. I appreciate that. That's just one step. Well, 826 00:40:38,960 --> 00:40:42,160 Speaker 2: I appreciate that. But let's talk about some of these supplements. 827 00:40:42,200 --> 00:40:45,239 Speaker 2: All right, let's talk about how closely you work with 828 00:40:45,280 --> 00:40:48,799 Speaker 2: Pure Health Research. They make some wonderful supplements. What can 829 00:40:48,840 --> 00:40:50,600 Speaker 2: you tell me and why are they different? Because people 830 00:40:50,600 --> 00:40:53,240 Speaker 2: can choose a thousand different supplements today, Why. 831 00:40:53,080 --> 00:40:56,480 Speaker 6: These Yeah, you know, I've been in the industry for 832 00:40:56,520 --> 00:40:58,520 Speaker 6: a long long time, and I love their commitment to 833 00:40:58,600 --> 00:41:03,400 Speaker 6: quality and parency. They use only premium natural ingredients in 834 00:41:03,440 --> 00:41:05,880 Speaker 6: all of their nutritional formulas. If you go to their website, 835 00:41:05,960 --> 00:41:08,760 Speaker 6: there's about forty five I think at this point in time, 836 00:41:09,280 --> 00:41:12,840 Speaker 6: every ingredient uses proven effective by a clinical study. So 837 00:41:13,000 --> 00:41:15,560 Speaker 6: if you go to a particular product, you can see 838 00:41:15,640 --> 00:41:19,120 Speaker 6: all of the ingredients listed and a study at least one, 839 00:41:19,280 --> 00:41:21,960 Speaker 6: if not several, will be listed alongside of it, so 840 00:41:22,480 --> 00:41:26,319 Speaker 6: you're taking something that actually works as advertised, which I love, right, 841 00:41:26,360 --> 00:41:29,960 Speaker 6: so that transparency. Their formulas are non GMO, they don't 842 00:41:30,040 --> 00:41:34,799 Speaker 6: use any artificial anything, no chemicals, fillers, preservatives, and also 843 00:41:34,880 --> 00:41:38,160 Speaker 6: they're manufactured right here in the United States, so it's 844 00:41:38,239 --> 00:41:42,040 Speaker 6: just a few reasons. They also give back community, yes, yeah, 845 00:41:42,239 --> 00:41:43,239 Speaker 6: all them great. 846 00:41:43,440 --> 00:41:45,960 Speaker 1: Yeah, I mean it's good news. 847 00:41:46,000 --> 00:41:47,640 Speaker 2: I mean we're in a day and age when make 848 00:41:47,680 --> 00:41:51,000 Speaker 2: America healthy again is really the cry of so many 849 00:41:51,000 --> 00:41:53,160 Speaker 2: people out there. They're sick and tired of all the 850 00:41:53,680 --> 00:41:57,360 Speaker 2: I don't know, fake stuff stuff. You don't want artificial colorings, 851 00:41:57,480 --> 00:41:58,440 Speaker 2: artificial dis and that. 852 00:41:58,560 --> 00:41:59,680 Speaker 1: So that's fantastic. 853 00:42:00,320 --> 00:42:01,480 Speaker 2: Let me ask you what are some of the more 854 00:42:01,520 --> 00:42:03,120 Speaker 2: popular supplements available. 855 00:42:04,920 --> 00:42:06,160 Speaker 5: There are so many that I love. 856 00:42:06,560 --> 00:42:08,480 Speaker 6: I mean, we've talked about the Liver Health Formula and 857 00:42:08,520 --> 00:42:11,919 Speaker 6: I think that's still I mean, and Bobby Junior talks 858 00:42:11,920 --> 00:42:14,319 Speaker 6: about liver health and fatty liver all of the time 859 00:42:14,360 --> 00:42:18,040 Speaker 6: because one hundred, you know, thousand Americans have it and 860 00:42:18,080 --> 00:42:18,759 Speaker 6: they don't know it. 861 00:42:18,920 --> 00:42:19,120 Speaker 1: Right. 862 00:42:19,200 --> 00:42:22,840 Speaker 6: So the Liver Health Formula, I think over two point 863 00:42:22,880 --> 00:42:26,680 Speaker 6: five million bottles sold, and this name implies exactly what 864 00:42:26,760 --> 00:42:29,640 Speaker 6: it does. It supports thriving liver health. And that's important 865 00:42:29,640 --> 00:42:32,680 Speaker 6: because your liver does over five hundred different functions a 866 00:42:32,800 --> 00:42:35,919 Speaker 6: day and it's being beaten down by our modern day 867 00:42:36,000 --> 00:42:38,960 Speaker 6: environment and as you said, all of the things that 868 00:42:39,000 --> 00:42:41,160 Speaker 6: we should not be ingesting in our body that we're 869 00:42:41,200 --> 00:42:42,359 Speaker 6: going to be cleaning up here soon. 870 00:42:42,440 --> 00:42:43,000 Speaker 5: So I love that. 871 00:42:43,040 --> 00:42:47,080 Speaker 6: It also ignites your metabolism so that stubborn belly fat. 872 00:42:47,600 --> 00:42:49,040 Speaker 5: Also, if you're struggling with. 873 00:42:49,000 --> 00:42:52,319 Speaker 6: Fluid retention, and I think a lot of people are 874 00:42:52,440 --> 00:42:56,200 Speaker 6: that aren't realizing it, They've got the limph system support 875 00:42:57,160 --> 00:43:00,120 Speaker 6: for anybody any of that fluid retention in your extremity. 876 00:43:00,719 --> 00:43:03,800 Speaker 6: And then I also love the blood sugar formula because 877 00:43:04,480 --> 00:43:09,080 Speaker 6: cardiovascular and metabolic health are linked. Like this, and metabolic health, 878 00:43:09,719 --> 00:43:11,920 Speaker 6: your hemoglobin a one seed. That's an average of your 879 00:43:11,920 --> 00:43:15,280 Speaker 6: blood sugar over the last three months, if it's elevated, 880 00:43:15,360 --> 00:43:18,319 Speaker 6: if you're insulin resistant, if you've got that pooture around 881 00:43:18,320 --> 00:43:21,680 Speaker 6: the middle. Once again, it's so important to keep a 882 00:43:21,760 --> 00:43:25,000 Speaker 6: healthy blood sugar and so the blood sugar formula does 883 00:43:25,040 --> 00:43:28,759 Speaker 6: exactly that. It can reduce appetite, crush those sugar cravings, 884 00:43:29,400 --> 00:43:31,440 Speaker 6: and it makes it a lot easier to stay away 885 00:43:31,440 --> 00:43:34,400 Speaker 6: from the tempting everything brings into the office, you know, 886 00:43:34,520 --> 00:43:38,440 Speaker 6: donuts and candy and you name it. Yeah, so it 887 00:43:38,480 --> 00:43:42,359 Speaker 6: really helps with that. So also true, Yeah, all of it. Yeah, 888 00:43:42,480 --> 00:43:43,000 Speaker 6: so that's all. 889 00:43:43,480 --> 00:43:48,239 Speaker 2: Here's the deal. Okay, yeah, well I love all three. 890 00:43:48,280 --> 00:43:49,680 Speaker 2: But here's the deal. If you're into in any of 891 00:43:49,719 --> 00:43:53,280 Speaker 2: these formulas, doctor Holly has mentioned, head over to pure 892 00:43:53,280 --> 00:43:57,239 Speaker 2: health research dot com pure health research dot com where 893 00:43:57,239 --> 00:43:59,359 Speaker 2: you can find out more information about the forty five 894 00:43:59,400 --> 00:44:02,200 Speaker 2: products and try them risk free for the next forty 895 00:44:02,239 --> 00:44:05,319 Speaker 2: eight hours only. You'll save thirty five percent on your 896 00:44:05,440 --> 00:44:09,080 Speaker 2: order with a coupon code Voice thirty five percent. You're 897 00:44:09,120 --> 00:44:11,000 Speaker 2: protected by the three hundred and sixty five day money 898 00:44:11,000 --> 00:44:11,640 Speaker 2: Back GUARANTEEC. 899 00:44:11,760 --> 00:44:13,439 Speaker 1: You risk nothing by giving them a try. 900 00:44:13,480 --> 00:44:16,280 Speaker 2: But again, this incredible thirty five percent discount only available 901 00:44:16,320 --> 00:44:17,920 Speaker 2: for the next forty eight hours. 902 00:44:17,960 --> 00:44:19,160 Speaker 1: Doctor. Thank you for being here. 903 00:44:19,680 --> 00:44:20,319 Speaker 5: See you next time. 904 00:44:20,400 --> 00:44:22,560 Speaker 1: Thanks greatly. 905 00:44:22,560 --> 00:44:26,399 Speaker 2: Appreciate it again one more time purehealthresearch dot Com. Save 906 00:44:26,520 --> 00:44:29,920 Speaker 2: thirty five percent for the next forty eight hours. Thirty 907 00:44:29,920 --> 00:44:33,240 Speaker 2: five percent forty eight hours Pure health research dot Com. 908 00:44:33,400 --> 00:44:34,880 Speaker 1: I think she's right, by the way, you guys like 909 00:44:34,920 --> 00:44:36,400 Speaker 1: that haircut pretty good? Right? All right? 910 00:44:36,560 --> 00:44:38,360 Speaker 2: Just check it because she said it made me look younger. 911 00:44:38,600 --> 00:44:41,600 Speaker 2: I'm gonna be going to that barber forever. Greatly appreciate 912 00:44:41,600 --> 00:44:43,359 Speaker 2: you being here spending part of your Thursday with us 913 00:44:43,400 --> 00:44:46,120 Speaker 2: on Real America's Voice. Don't forget to check out the 914 00:44:46,120 --> 00:44:48,879 Speaker 2: Steve Rivers Show Money through Friday at six a m. 915 00:44:48,920 --> 00:44:52,240 Speaker 2: And come here every afternoon for your midday update from. 916 00:44:52,120 --> 00:44:54,719 Speaker 1: America's Voice Live. We'll talk to you soon.