1 00:00:00,000 --> 00:00:02,480 Speaker 1: A news round up information overload hour. Here's our toll 2 00:00:02,480 --> 00:00:04,840 Speaker 1: free telephone number if you want to be a part 3 00:00:04,920 --> 00:00:07,480 Speaker 1: of this extravaganza, it's eight hundred and nine point one 4 00:00:07,520 --> 00:00:10,159 Speaker 1: Sean if you want to join us. And you know 5 00:00:10,280 --> 00:00:14,160 Speaker 1: I've been highlighting today, it just it's hit me more 6 00:00:14,280 --> 00:00:19,400 Speaker 1: deeply the reaction of Democrats in the House Chamber on 7 00:00:19,520 --> 00:00:23,400 Speaker 1: Tuesday night, and how devastating politically. I think the fallout 8 00:00:23,440 --> 00:00:26,680 Speaker 1: from this is going to be for them. I don't 9 00:00:26,720 --> 00:00:28,880 Speaker 1: care where you stand politically. We can have all the 10 00:00:28,880 --> 00:00:32,880 Speaker 1: political disagreements in the world. But when you don't stand 11 00:00:33,159 --> 00:00:36,200 Speaker 1: for a mother whose young daughter was stabbed to death 12 00:00:36,240 --> 00:00:39,880 Speaker 1: by an illegal immigrant, I mean at that point, where 13 00:00:39,960 --> 00:00:42,360 Speaker 1: is your heart, your conscience, and your soul? 14 00:00:43,120 --> 00:00:43,280 Speaker 2: You know? 15 00:00:43,320 --> 00:00:46,159 Speaker 1: And as I said yesterday, I can report back to 16 00:00:46,159 --> 00:00:48,440 Speaker 1: you today that the same people that didn't stand for 17 00:00:48,720 --> 00:00:52,479 Speaker 1: Lake and Riley's family, that nursing student in Georgia was 18 00:00:52,560 --> 00:00:55,960 Speaker 1: killed jogging. She had her entire life ahead of her, 19 00:00:56,240 --> 00:00:58,600 Speaker 1: A little Joscelyn Nungary, the twelve year old girl, A 20 00:00:58,600 --> 00:01:02,680 Speaker 1: little twelve year old girl brutally raped and then murdered 21 00:01:03,280 --> 00:01:08,320 Speaker 1: by unvetted Biden Harris majorcis illegals and the presidents trying 22 00:01:08,360 --> 00:01:11,920 Speaker 1: to find these criminals. The known terrorists, murderers, rapists, child 23 00:01:11,920 --> 00:01:15,400 Speaker 1: molesters that they let into the country is terrible. They 24 00:01:15,400 --> 00:01:17,320 Speaker 1: didn't stand for a five year old girl who was 25 00:01:17,400 --> 00:01:19,639 Speaker 1: nearly killed. They didn't think this girl would walk again 26 00:01:20,120 --> 00:01:23,000 Speaker 1: during a car crash caused by an illegal alien. They 27 00:01:23,040 --> 00:01:26,360 Speaker 1: didn't stand for the mother of a Ukrainian refugee stabbed 28 00:01:26,360 --> 00:01:29,160 Speaker 1: to death in North Carolina by a career criminal. They 29 00:01:29,160 --> 00:01:33,039 Speaker 1: didn't stand for Erica Kirk, her husband was brutally murdered. 30 00:01:34,200 --> 00:01:37,200 Speaker 1: At some point, it's not about politics now. There were 31 00:01:37,240 --> 00:01:42,680 Speaker 1: other incredible Americans that were honored during this State of 32 00:01:42,720 --> 00:01:43,520 Speaker 1: the Union address. 33 00:01:43,720 --> 00:01:47,400 Speaker 3: Students and educators in every state have joined the First 34 00:01:47,640 --> 00:01:52,560 Speaker 3: Lady's efforts in the presidential AI Challenge, keeping America's next 35 00:01:52,600 --> 00:01:57,880 Speaker 3: generation position to succeed and strongly succeed in the future. Tonight, 36 00:01:57,920 --> 00:02:00,880 Speaker 3: we welcome two young people who's life lives reflect the 37 00:02:00,920 --> 00:02:05,760 Speaker 3: First Lady's impact, Sierra Burns and Everest Nevermont. 38 00:02:06,040 --> 00:02:08,120 Speaker 2: Thank you both in Milania. Thank you. 39 00:02:08,160 --> 00:02:09,680 Speaker 1: I know how hard you work trying to thank you 40 00:02:09,720 --> 00:02:12,600 Speaker 1: for two of them are with me right now. We're 41 00:02:12,600 --> 00:02:16,800 Speaker 1: so honored to have them Everest Navmont is an eleven 42 00:02:16,880 --> 00:02:20,639 Speaker 1: year old student at Alfa School, which is based in Austin, Texas, 43 00:02:20,919 --> 00:02:27,000 Speaker 1: and Everest participates in AI powered personal learning through her school. Apparently, 44 00:02:27,040 --> 00:02:32,079 Speaker 1: she's an amazing public speaker, AI education advocate, three time 45 00:02:32,200 --> 00:02:36,800 Speaker 1: Texas state champion in history I'm in Trouble, and was 46 00:02:36,840 --> 00:02:42,120 Speaker 1: on a winning International History Bowl team. He also delivered 47 00:02:41,680 --> 00:02:45,160 Speaker 1: at TED speech, a tedex speech on how she uses 48 00:02:45,280 --> 00:02:49,000 Speaker 1: AI in education. I've never given a TED speech. Also 49 00:02:49,080 --> 00:02:52,280 Speaker 1: joining us, Sierra Burns a participant in the Milania Trump 50 00:02:52,639 --> 00:02:57,440 Speaker 1: Foster Youth to Independence Program, and she is a dedicated 51 00:02:57,480 --> 00:03:01,720 Speaker 1: advocate for children in foster care after having experienced the 52 00:03:01,760 --> 00:03:06,959 Speaker 1: foster care system firsthand. Graduate herself of Winthrop University, She's 53 00:03:07,040 --> 00:03:11,120 Speaker 1: currently pursuing her Masters in Advocacy and Social Policy at 54 00:03:11,120 --> 00:03:15,840 Speaker 1: Burnham University while also working as a referral specialist at 55 00:03:15,880 --> 00:03:20,080 Speaker 1: Prisma Health. And she testified in support of extending foster 56 00:03:20,160 --> 00:03:23,480 Speaker 1: care in South Carolina later became a Jim Casey Fellow, 57 00:03:23,720 --> 00:03:28,120 Speaker 1: where she helped develop training resources for caseworkers statewide. Now, 58 00:03:28,160 --> 00:03:31,560 Speaker 1: these were American heroes, unsung heroes, the people that truly 59 00:03:31,560 --> 00:03:35,160 Speaker 1: do make this country great every single day. Everest I'm 60 00:03:35,160 --> 00:03:37,680 Speaker 1: going to start with you. You're eleven years old and 61 00:03:37,760 --> 00:03:40,840 Speaker 1: I hear you're an amazing public speaker. How did that happen? 62 00:03:42,400 --> 00:03:45,480 Speaker 4: Well, I mean, I wanted to share with all America 63 00:03:45,600 --> 00:03:48,960 Speaker 4: how AI education is a really amazing thing, and I 64 00:03:49,000 --> 00:03:51,360 Speaker 4: wanted to share how I did it, and the way 65 00:03:51,400 --> 00:03:53,080 Speaker 4: to do that was to give a TED talk. So 66 00:03:53,120 --> 00:03:55,360 Speaker 4: I decided, well, let's do a tech talk. 67 00:03:56,160 --> 00:03:58,880 Speaker 1: Well that's very impressive. I've never done a Ted talk. 68 00:03:58,960 --> 00:04:01,320 Speaker 1: I have watched a number. I'm gonna make sure I 69 00:04:01,360 --> 00:04:05,000 Speaker 1: watch yours tonight because I think what you have to 70 00:04:05,040 --> 00:04:09,360 Speaker 1: offer and say is worth everybody hearing. I've been telling 71 00:04:09,400 --> 00:04:12,440 Speaker 1: my radio audience. We're on nearly seven hundred and sixty 72 00:04:12,520 --> 00:04:17,200 Speaker 1: stations and Everest, and I've been telling my audience, please 73 00:04:17,640 --> 00:04:23,520 Speaker 1: familiarize yourself with artificial intelligence. Every day I use GROC 74 00:04:23,839 --> 00:04:26,919 Speaker 1: and every day I learn more, and every day I 75 00:04:27,040 --> 00:04:30,400 Speaker 1: realize that this is not the future, because it's happening 76 00:04:30,839 --> 00:04:33,560 Speaker 1: in real time before our rise. Do you feel the 77 00:04:33,600 --> 00:04:34,320 Speaker 1: same way. 78 00:04:35,400 --> 00:04:38,120 Speaker 4: Yeah, I think that's definitely true. We are we are 79 00:04:38,279 --> 00:04:40,960 Speaker 4: part of this amazing thing that's happening right now. 80 00:04:41,720 --> 00:04:44,960 Speaker 1: We have. Did this interest in artificial intelligence come from? 81 00:04:45,560 --> 00:04:48,440 Speaker 4: So basically, I go to the Alpha School and we 82 00:04:48,560 --> 00:04:51,760 Speaker 4: used AI to learn two x and two hours. And 83 00:04:51,880 --> 00:04:55,680 Speaker 4: I think that that was super interesting and I know 84 00:04:55,800 --> 00:04:58,680 Speaker 4: that it works to help me, and I find that 85 00:04:58,720 --> 00:04:59,680 Speaker 4: to be really amazing. 86 00:05:01,000 --> 00:05:04,040 Speaker 1: It really is. It's so fun. A friend of mine 87 00:05:04,080 --> 00:05:07,040 Speaker 1: that works with Elon Musk you might find this interesting, Everest. 88 00:05:07,800 --> 00:05:11,799 Speaker 1: He's one of his top guys and really really really smart, 89 00:05:11,880 --> 00:05:16,320 Speaker 1: way smarter than I am. And he he first introduced 90 00:05:16,360 --> 00:05:18,440 Speaker 1: me to groc and showed me how to use it 91 00:05:18,520 --> 00:05:22,159 Speaker 1: and use it efficiently. And he said to me, and 92 00:05:22,560 --> 00:05:25,360 Speaker 1: I paused when he said it, he goes Now, anytime 93 00:05:25,400 --> 00:05:27,599 Speaker 1: you want to think he goes, don't. And I'm looking 94 00:05:27,640 --> 00:05:30,599 Speaker 1: at him, like, don't think he goes. No, Just ask 95 00:05:30,720 --> 00:05:33,680 Speaker 1: Rock and it'll answer everything for you. And in so 96 00:05:33,760 --> 00:05:37,080 Speaker 1: many ways, I know people are a little bit intimidated 97 00:05:37,160 --> 00:05:40,320 Speaker 1: or afraid. There's some anxiety that people, you know, feel 98 00:05:40,320 --> 00:05:42,640 Speaker 1: that jobs are going to be displaced and there will 99 00:05:42,680 --> 00:05:44,960 Speaker 1: be some disruption in the workplace at some point. But 100 00:05:45,040 --> 00:05:47,240 Speaker 1: I you know, as Elon says, he believes it's going 101 00:05:47,320 --> 00:05:50,520 Speaker 1: to be not positive for jobs. Where do you see 102 00:05:50,640 --> 00:05:52,880 Speaker 1: AI in the next two years? Where do you see 103 00:05:52,880 --> 00:05:54,359 Speaker 1: it going well? 104 00:05:55,000 --> 00:05:58,760 Speaker 4: I mean in a perfect world. AI has been used 105 00:05:58,760 --> 00:06:03,679 Speaker 4: to advance education for learning and in schools, and it'll 106 00:06:03,720 --> 00:06:08,120 Speaker 4: make make teachers jobs easier to Yeah, I see AI 107 00:06:08,320 --> 00:06:11,480 Speaker 4: in schools helping Americans learn efficiently and effectively. 108 00:06:12,080 --> 00:06:14,479 Speaker 1: Well, you're very very impressive. We're so glad you could 109 00:06:14,480 --> 00:06:17,400 Speaker 1: be with us. Was it col being honored at the 110 00:06:17,440 --> 00:06:19,599 Speaker 1: State of the Union and meeting the first lady? 111 00:06:20,240 --> 00:06:23,520 Speaker 4: Yeah, it was it was. I was so honored to 112 00:06:23,560 --> 00:06:26,400 Speaker 4: attend the State of Union and beether was the first 113 00:06:26,480 --> 00:06:30,240 Speaker 4: lady and see Sierra there. It was just incredible. 114 00:06:31,200 --> 00:06:33,880 Speaker 1: Well, she's very smart herself. You know that English is 115 00:06:33,920 --> 00:06:38,040 Speaker 1: her sixth language. I mean I could barely speak one language. 116 00:06:38,440 --> 00:06:42,840 Speaker 1: And she's very very very humble, very nice, very smart, 117 00:06:43,000 --> 00:06:47,760 Speaker 1: very tough. She's she's a fighter like our husband. Sierra. 118 00:06:47,960 --> 00:06:50,800 Speaker 1: Welcome to you as well. You had a chance to 119 00:06:50,800 --> 00:06:52,480 Speaker 1: meet the first lady. What was that like for you? 120 00:06:52,960 --> 00:06:56,640 Speaker 5: It was incredible. Honestly, we really shared a moment together 121 00:06:56,680 --> 00:06:59,640 Speaker 5: with each other. She was genuine, she was warm, and 122 00:07:00,080 --> 00:07:02,719 Speaker 5: we were just thinking each other for our avoccy efforts, 123 00:07:02,920 --> 00:07:06,360 Speaker 5: And honestly it was an honor as well, Like I 124 00:07:06,400 --> 00:07:09,520 Speaker 5: felt so honored to be there as her guest. 125 00:07:09,760 --> 00:07:11,880 Speaker 1: Yeah, you know, I've known her for a long time. 126 00:07:12,240 --> 00:07:16,239 Speaker 1: Her passion really is children, and her passion is safety, 127 00:07:16,280 --> 00:07:18,560 Speaker 1: and her passion is about learning. I'm sure that you 128 00:07:18,680 --> 00:07:19,800 Speaker 1: discovered that yourself. 129 00:07:20,240 --> 00:07:20,640 Speaker 2: Yeah. 130 00:07:20,760 --> 00:07:23,280 Speaker 5: I think one of my biggest priorities for foster youth 131 00:07:23,360 --> 00:07:26,280 Speaker 5: is getting their education squared away. So one of the 132 00:07:26,320 --> 00:07:28,240 Speaker 5: things or see it is actually working on is there's 133 00:07:28,280 --> 00:07:31,480 Speaker 5: a bill in the Senate and House for foster youth 134 00:07:31,560 --> 00:07:33,240 Speaker 5: to get their tuition for free. 135 00:07:33,640 --> 00:07:37,239 Speaker 1: Isn't that amazing? I love that? Now one of the things. 136 00:07:37,240 --> 00:07:41,760 Speaker 1: So you're now a participant in the Milania Trump Foster 137 00:07:41,840 --> 00:07:44,720 Speaker 1: Youth to Independence program, So you work with the first 138 00:07:44,760 --> 00:07:48,920 Speaker 1: lady working on her program, and you're a dedicated advocate 139 00:07:49,000 --> 00:07:53,960 Speaker 1: in this area for foster children. You experience the foster 140 00:07:54,080 --> 00:07:56,200 Speaker 1: care system firsthand. Tell me about that. 141 00:07:57,040 --> 00:07:57,560 Speaker 4: So I was. 142 00:07:57,480 --> 00:07:59,880 Speaker 5: Sixteen years old, I was there for eighteen until I 143 00:07:59,920 --> 00:08:03,000 Speaker 5: was eighteen years old and went off to college. But ultimately, 144 00:08:03,120 --> 00:08:06,200 Speaker 5: foster care for me was a safe and positive experience. 145 00:08:06,320 --> 00:08:09,720 Speaker 5: It gave me a sense of stability, and so having 146 00:08:09,760 --> 00:08:12,040 Speaker 5: that really set me up for success when I went 147 00:08:12,080 --> 00:08:16,240 Speaker 5: out into college and went forward and into now where 148 00:08:16,280 --> 00:08:18,560 Speaker 5: I get to advocate for foster youth who don't have 149 00:08:18,600 --> 00:08:20,440 Speaker 5: the same kind of experiences that I had. 150 00:08:21,000 --> 00:08:23,240 Speaker 1: I know for a fact that not all children in 151 00:08:23,280 --> 00:08:28,000 Speaker 1: the foster care system have a positive experience. Unfortunately, there 152 00:08:28,000 --> 00:08:29,960 Speaker 1: are those that don't have a positive experience. 153 00:08:30,280 --> 00:08:30,720 Speaker 2: That's right. 154 00:08:31,720 --> 00:08:34,640 Speaker 1: How do how do we make this system better so 155 00:08:34,679 --> 00:08:36,400 Speaker 1: we can protect these children more? 156 00:08:37,800 --> 00:08:41,160 Speaker 5: I'd say that keeping supports open for a long time, 157 00:08:41,280 --> 00:08:44,400 Speaker 5: so when they age out, there are some supports that 158 00:08:44,440 --> 00:08:48,320 Speaker 5: we have that say age twenty one or age twenty six. 159 00:08:48,600 --> 00:08:50,720 Speaker 5: But what I would honestly say is that how we 160 00:08:50,760 --> 00:08:52,800 Speaker 5: can support them is we can let them get on 161 00:08:52,800 --> 00:08:55,840 Speaker 5: their own two feet, and then that's whenever they're ready, 162 00:08:56,040 --> 00:08:57,400 Speaker 5: then the support can go away. 163 00:08:58,240 --> 00:09:02,319 Speaker 1: So you testified previous in support of extending foster care 164 00:09:02,360 --> 00:09:04,760 Speaker 1: in South Carolina. I assume that's where you're from. 165 00:09:05,000 --> 00:09:06,320 Speaker 5: Yes, it is from where I'm from. 166 00:09:06,960 --> 00:09:08,880 Speaker 1: Okay, So, and how did that work? 167 00:09:09,679 --> 00:09:12,920 Speaker 5: So it works as it ended at eighteen before and 168 00:09:12,960 --> 00:09:15,880 Speaker 5: your services would go until then, But then now you 169 00:09:15,920 --> 00:09:17,920 Speaker 5: can elect to stay until you're twenty one and you 170 00:09:17,960 --> 00:09:19,839 Speaker 5: can receive services up until that point. 171 00:09:20,920 --> 00:09:23,320 Speaker 1: Now, is this what you want to do with your life? 172 00:09:23,480 --> 00:09:26,800 Speaker 1: Is this your vocation? Is this your passion? Is this 173 00:09:26,880 --> 00:09:29,160 Speaker 1: what you're going to make you do full time in 174 00:09:29,240 --> 00:09:31,559 Speaker 1: your career, so I believe. 175 00:09:31,640 --> 00:09:33,959 Speaker 5: So I'm getting my master's and a see in social 176 00:09:33,960 --> 00:09:36,000 Speaker 5: policy right now, so I can learn to be a 177 00:09:36,000 --> 00:09:40,720 Speaker 5: grant writer, learn to advocate better. But I you know, honestly, 178 00:09:41,000 --> 00:09:44,200 Speaker 5: I think I envisioned more for myself. I'm just still 179 00:09:44,240 --> 00:09:45,120 Speaker 5: funding that direction. 180 00:09:46,360 --> 00:09:49,120 Speaker 1: Well, we wish you definitely all the best, and I'm 181 00:09:49,160 --> 00:09:51,600 Speaker 1: pretty confident that whatever you set your mind to, you're 182 00:09:51,600 --> 00:09:55,200 Speaker 1: going to achieve. Everest. I've got to ask you, you're 183 00:09:55,240 --> 00:09:57,760 Speaker 1: only eleven, but do you think about maybe what you 184 00:09:57,840 --> 00:10:00,439 Speaker 1: might want to do when you become an adult and 185 00:10:00,480 --> 00:10:02,720 Speaker 1: when you get older. What's your passion what you would 186 00:10:02,800 --> 00:10:03,360 Speaker 1: like to work in. 187 00:10:03,960 --> 00:10:08,520 Speaker 4: Well, I want to keep advocating for education and AI education. Definitely, 188 00:10:09,480 --> 00:10:10,720 Speaker 4: I want to become president. 189 00:10:13,000 --> 00:10:15,760 Speaker 1: I think you're going to achieve it. But go ahead that. 190 00:10:16,200 --> 00:10:19,360 Speaker 1: I mean, that's a pretty ambitious goal for eleven years old. 191 00:10:19,880 --> 00:10:21,680 Speaker 4: Well, yeah, I got a lot of time fulfill it. 192 00:10:22,480 --> 00:10:24,920 Speaker 1: You definitely do You do know you have to wait 193 00:10:24,920 --> 00:10:26,240 Speaker 1: till you at thirty five though. 194 00:10:26,080 --> 00:10:29,160 Speaker 4: Right, Yeah, that's kind of the sad part. 195 00:10:31,040 --> 00:10:34,160 Speaker 1: You would think about maybe running in the next election cycle. 196 00:10:34,840 --> 00:10:37,080 Speaker 1: You probably be better than a lot of people that 197 00:10:37,280 --> 00:10:39,760 Speaker 1: are thinking of running. I can tell you that a 198 00:10:39,800 --> 00:10:42,920 Speaker 1: lot smarter too. What well, there's. 199 00:10:42,720 --> 00:10:44,680 Speaker 4: Definitely some good people running in the election. 200 00:10:45,360 --> 00:10:47,319 Speaker 1: I think there will be good people running in the election. 201 00:10:47,400 --> 00:10:50,080 Speaker 1: Do you have anybody that's a favorite. 202 00:10:50,240 --> 00:10:52,120 Speaker 4: I don't think so yet. 203 00:10:52,320 --> 00:10:55,520 Speaker 1: Okay, it's early. Listen. I want to I want to 204 00:10:55,559 --> 00:10:57,920 Speaker 1: thank you both. You know, I will say this to 205 00:10:57,920 --> 00:11:03,120 Speaker 1: both you, Everest and uci Era. There are I always say, 206 00:11:03,520 --> 00:11:06,600 Speaker 1: it's the people in this country that make this country great, 207 00:11:06,920 --> 00:11:10,120 Speaker 1: people like both of you, and the people that get 208 00:11:10,200 --> 00:11:13,560 Speaker 1: up every day and they put in their twelve fourteen 209 00:11:13,600 --> 00:11:16,720 Speaker 1: hours of work and they raise their family, they pay 210 00:11:16,760 --> 00:11:19,920 Speaker 1: their taxes, they obey their laws, they take their kids 211 00:11:19,920 --> 00:11:23,040 Speaker 1: to church, and they are the people that make this 212 00:11:23,160 --> 00:11:25,920 Speaker 1: country great. Both of you are helping to make this 213 00:11:26,040 --> 00:11:29,800 Speaker 1: country greater. I applaud both of you. You both deserve 214 00:11:29,880 --> 00:11:32,680 Speaker 1: the honor the other night, and it was fun to 215 00:11:32,760 --> 00:11:35,920 Speaker 1: watch you both get recognized for what you do the 216 00:11:36,000 --> 00:11:38,680 Speaker 1: unsung heroes in our country. And I thank you both. Everes, 217 00:11:38,760 --> 00:11:40,079 Speaker 1: thank you, Sierra, thank. 218 00:11:39,920 --> 00:11:42,959 Speaker 4: You, thank you so much. 219 00:11:43,120 --> 00:11:52,160 Speaker 1: I really appreciate you both. Michael is in the state 220 00:11:52,200 --> 00:11:55,040 Speaker 1: of New York. Michael, how you doing, what's going on? 221 00:11:55,080 --> 00:11:56,280 Speaker 1: How's the coffee? Today. 222 00:11:56,640 --> 00:11:58,760 Speaker 6: I know what am I thinking? Why am I not 223 00:11:58,840 --> 00:11:59,640 Speaker 6: out of here yet? 224 00:12:02,200 --> 00:12:02,280 Speaker 3: No? 225 00:12:02,640 --> 00:12:07,120 Speaker 6: All joking aside, Mondani is rolling out this new plan 226 00:12:07,280 --> 00:12:13,800 Speaker 6: with AOC giving free kindergarten pre K three to illegals. 227 00:12:14,400 --> 00:12:17,280 Speaker 6: I'm telling you, Sean, I could get angry, but I'm 228 00:12:17,280 --> 00:12:21,240 Speaker 6: more excited because the more he shows his true colors, 229 00:12:21,280 --> 00:12:24,680 Speaker 6: the more he shows who he is, the more our 230 00:12:24,720 --> 00:12:28,959 Speaker 6: people will understand and we will move on from this 231 00:12:29,120 --> 00:12:33,400 Speaker 6: type of leadership and representation and we will get back 232 00:12:33,440 --> 00:12:36,400 Speaker 6: to when I moved to Manhattan in two thousand and 233 00:12:36,400 --> 00:12:39,520 Speaker 6: three and we had Bloomberg coming off the Giuliani years. 234 00:12:40,040 --> 00:12:44,440 Speaker 6: We'll get back to that clean city, no nonsense, no 235 00:12:45,640 --> 00:12:49,640 Speaker 6: other things. And I'm not worried as I once was. 236 00:12:50,160 --> 00:12:54,160 Speaker 6: I like that he's burying himself. And really quickly they 237 00:12:54,200 --> 00:13:00,160 Speaker 6: caught the children snowball throwers in Washington Square Park, which 238 00:13:00,240 --> 00:13:02,719 Speaker 6: is one block from my apartment, by the way, and 239 00:13:03,240 --> 00:13:05,360 Speaker 6: it was a twenty seven year old who had already 240 00:13:05,360 --> 00:13:08,520 Speaker 6: been arrested. Shocker, what are your thoughts? 241 00:13:08,760 --> 00:13:12,640 Speaker 1: They were set up. This was sabotage, and they lured 242 00:13:12,679 --> 00:13:15,800 Speaker 1: the police in by saying that there was a disrupt 243 00:13:15,960 --> 00:13:19,199 Speaker 1: that there was some type of disruption going on and 244 00:13:19,280 --> 00:13:21,760 Speaker 1: they come in and then all these people they weren't 245 00:13:21,760 --> 00:13:23,920 Speaker 1: even just snowballs, a lot of them were ice balls. 246 00:13:24,400 --> 00:13:27,240 Speaker 1: And they've a couple of the officers had lacerations, and 247 00:13:27,280 --> 00:13:29,960 Speaker 1: they're smashing them on the head with snowballs and big 248 00:13:30,000 --> 00:13:33,240 Speaker 1: blocks of snow and ice. It's terrible and I'm nodding, Oh, 249 00:13:33,320 --> 00:13:35,280 Speaker 1: just a bunch of kids having a snowball fight. No, 250 00:13:35,440 --> 00:13:38,120 Speaker 1: that's not a snowball fight. If you throw, if you're 251 00:13:38,160 --> 00:13:41,360 Speaker 1: attacking police officers, wrong, mister Mayor, you're wrong. 252 00:13:42,840 --> 00:13:45,679 Speaker 6: And like I said, just keep doing what you're doing. 253 00:13:45,840 --> 00:13:48,720 Speaker 6: Our people are smart enough. We will move on from this. 254 00:13:48,880 --> 00:13:51,280 Speaker 6: Thank you so much for taking my call. 255 00:13:51,120 --> 00:13:53,599 Speaker 1: We appreciate you. Thank you. We'll get to more of 256 00:13:53,600 --> 00:13:55,680 Speaker 1: your phone calls coming up. Here's our toll free numbers, 257 00:13:55,720 --> 00:13:57,559 Speaker 1: eight hundred and nine to four one Seawan If you 258 00:13:57,600 --> 00:13:58,679 Speaker 1: want to be a part of the program. 259 00:13:58,679 --> 00:14:29,320 Speaker 7: As we continue, he gives you the latest breaking news 260 00:14:29,480 --> 00:14:31,000 Speaker 7: when he hits the air. 261 00:14:31,600 --> 00:14:35,480 Speaker 1: This is the Sean Hannity Show twenty five now to 262 00:14:35,560 --> 00:14:37,280 Speaker 1: the top of the hour. Eight hundred and nine four one. 263 00:14:37,280 --> 00:14:38,520 Speaker 1: Shawn is on number. If you want to be a 264 00:14:38,520 --> 00:14:40,680 Speaker 1: part of the program. If you have received and he 265 00:14:40,800 --> 00:14:44,080 Speaker 1: notices from the IRS. Look, don't ignore them because the 266 00:14:44,080 --> 00:14:46,880 Speaker 1: IRS they're not allowed to send out empty threats warning 267 00:14:46,920 --> 00:14:49,880 Speaker 1: you that they may levy your bank account or garnish 268 00:14:49,960 --> 00:14:53,360 Speaker 1: your wages. If you get that letter, they will follow 269 00:14:53,440 --> 00:14:56,400 Speaker 1: through if you do not act by their deadline. And 270 00:14:56,440 --> 00:14:58,520 Speaker 1: the same goes if you're a business owner, you may 271 00:14:58,560 --> 00:15:02,000 Speaker 1: be may be behind and on payroll taxes. Remember, the 272 00:15:02,040 --> 00:15:04,560 Speaker 1: IRS does have the power to shut down your business, 273 00:15:04,680 --> 00:15:08,680 Speaker 1: drain your bank account, go after you personally. Now, whatever 274 00:15:08,760 --> 00:15:11,640 Speaker 1: you do, Rush Tax Resolution dot Com has been with 275 00:15:11,720 --> 00:15:14,400 Speaker 1: us for nearly a decade. 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And here's the best best part. 285 00:15:45,160 --> 00:15:47,520 Speaker 1: They will only take your case if they know that 286 00:15:47,560 --> 00:15:50,960 Speaker 1: they can help you. Period, don't wait don't think it's 287 00:15:50,960 --> 00:15:52,920 Speaker 1: going to go away. Do what so many of my 288 00:15:53,000 --> 00:15:56,880 Speaker 1: listeners have done over the last decade, call Rush Tax 289 00:15:56,920 --> 00:16:00,600 Speaker 1: Resolution today. Their tax nightmares are over and now it's 290 00:16:00,600 --> 00:16:04,240 Speaker 1: your turn. Eight hundred two nine nine eighty seventy seven. 291 00:16:04,600 --> 00:16:07,920 Speaker 1: Eight hundred two nine nine eighty seventy seven, or just 292 00:16:07,920 --> 00:16:11,960 Speaker 1: go to the web Rush Tax Resolution dot com. All right, Linda, 293 00:16:12,040 --> 00:16:15,840 Speaker 1: So this week I'm impounding Gavin Newsom and it just 294 00:16:16,240 --> 00:16:19,320 Speaker 1: I'm I'm taking up a lot of space in that 295 00:16:19,440 --> 00:16:21,200 Speaker 1: head of his ren free. By the way, I'm not 296 00:16:21,280 --> 00:16:23,240 Speaker 1: paying a penny for it. He taxes very big. 297 00:16:23,960 --> 00:16:26,760 Speaker 8: It must be a very long environment empty. 298 00:16:26,520 --> 00:16:29,280 Speaker 1: I know. And the funny thing is is I enjoy it. 299 00:16:29,400 --> 00:16:31,720 Speaker 1: I don't know why. You know, when I pick a 300 00:16:31,760 --> 00:16:36,000 Speaker 1: fight on X, I'm going to fight that fight until 301 00:16:36,400 --> 00:16:38,920 Speaker 1: there's no tomorrow. That's it. That's just how I roll. 302 00:16:39,200 --> 00:16:42,120 Speaker 1: I'm not going to stop. Nobody can make me stop. 303 00:16:43,480 --> 00:16:46,400 Speaker 1: And we were getting like, how what did Blair telling 304 00:16:46,400 --> 00:16:49,000 Speaker 1: me the other day? Like twenty million, one hundred and 305 00:16:49,040 --> 00:16:51,960 Speaker 1: fifty million people like knew about this fight with me 306 00:16:52,000 --> 00:16:54,600 Speaker 1: and Gavin Neussom or something. Yeah, it's getting a lot 307 00:16:54,600 --> 00:16:57,360 Speaker 1: of eyes, get a lot of eyeballs. So I went 308 00:16:57,400 --> 00:17:00,840 Speaker 1: at him again today. He went dark for a while. 309 00:17:00,880 --> 00:17:02,960 Speaker 1: I put out like four messages and then he went 310 00:17:03,040 --> 00:17:05,520 Speaker 1: dark and I said, oh, the fund's over. Darn it. 311 00:17:05,960 --> 00:17:08,560 Speaker 1: And so I just kind of forgot about it. Took 312 00:17:08,560 --> 00:17:10,320 Speaker 1: a shot at me again, and I'm like, let's go 313 00:17:10,480 --> 00:17:14,239 Speaker 1: game back on, let's play, and so I put up 314 00:17:14,240 --> 00:17:17,560 Speaker 1: on X at Avin Newsom, let's call you out by name. 315 00:17:17,600 --> 00:17:20,080 Speaker 1: He said, let's call people out by name, like Sean Hennedy. 316 00:17:20,520 --> 00:17:22,440 Speaker 1: I said, you're one of Joe. You were one of 317 00:17:22,560 --> 00:17:27,360 Speaker 1: Joe Biden's biggest propagandas during his campaign. You were silent 318 00:17:27,359 --> 00:17:32,920 Speaker 1: about his cognitive decline, even after his disastrous debate. Remember 319 00:17:32,920 --> 00:17:35,720 Speaker 1: what you texted me, Gavin. That was the night of 320 00:17:35,760 --> 00:17:38,880 Speaker 1: the debate. Now he won't let me. He hasn't given 321 00:17:38,920 --> 00:17:41,000 Speaker 1: me permission to release those texts. I would like to 322 00:17:41,040 --> 00:17:43,760 Speaker 1: release those texts if he'll let me. And then I'm write, 323 00:17:44,119 --> 00:17:47,160 Speaker 1: then you went on national TV and flat out lied 324 00:17:47,240 --> 00:17:49,959 Speaker 1: for him. I can prove that he lied, Linda. He 325 00:17:50,040 --> 00:17:52,040 Speaker 1: knew it was a disaster, but then he said, no, 326 00:17:52,160 --> 00:17:54,520 Speaker 1: you are You know, he really was not that bad. 327 00:17:54,560 --> 00:17:57,000 Speaker 1: It was actually pretty good. You know, he's not in 328 00:17:57,080 --> 00:18:00,520 Speaker 1: cognitive decline. And then I said, you're also silent as 329 00:18:00,640 --> 00:18:04,120 Speaker 1: Joe allowed millions of unvetted illegals into the country, including 330 00:18:04,200 --> 00:18:09,400 Speaker 1: known terrorists, murderers, rapist, child molesters, cartel members, gang members, 331 00:18:09,480 --> 00:18:12,720 Speaker 1: drug dealers, and other violent criminals. You even offered them 332 00:18:12,760 --> 00:18:16,640 Speaker 1: sanctuary status and benefits in your bankrupt state of California, 333 00:18:16,720 --> 00:18:20,640 Speaker 1: and part their bankrupt because all the services they provide illegals. 334 00:18:21,240 --> 00:18:25,240 Speaker 1: I said, American families had suffered greatly, Gavin, and you 335 00:18:25,880 --> 00:18:29,840 Speaker 1: were an enabler. You owe victims families. He still isn't enabler. 336 00:18:30,119 --> 00:18:34,520 Speaker 1: You owe victims families an apology, you know, because they 337 00:18:34,560 --> 00:18:38,120 Speaker 1: still have sanctuary state status there. You supported a candidate, 338 00:18:38,240 --> 00:18:42,360 Speaker 1: Joe Biden, who partnered with a former klansman, Robert Burden. 339 00:18:42,480 --> 00:18:45,680 Speaker 1: Together they fought to stop the integration of public schools. 340 00:18:46,119 --> 00:18:50,640 Speaker 1: Are you proud of yourself, mister noshow Governor? You are repulsive. 341 00:18:51,119 --> 00:18:54,560 Speaker 1: Save me your phony lectures and feigned outrage. I don't know. 342 00:18:54,560 --> 00:18:56,760 Speaker 1: You think he's going to respond to that one? I hope. 343 00:18:56,760 --> 00:18:58,560 Speaker 8: So he's got to get his dictionary out, but then 344 00:18:58,600 --> 00:18:59,879 Speaker 8: he'll be fine, He'll get right through it. 345 00:19:00,440 --> 00:19:02,359 Speaker 1: You think he's going to have a hard time. You know, 346 00:19:02,680 --> 00:19:04,879 Speaker 1: understand it, and I think that's pretty clear. Oh he 347 00:19:04,920 --> 00:19:06,960 Speaker 1: says he can read. He just said he couldn't read speeches. 348 00:19:07,000 --> 00:19:08,640 Speaker 1: And by the way, I'm not doubting that part. 349 00:19:08,920 --> 00:19:10,719 Speaker 8: I wasn't really talking about that. I just meant he 350 00:19:10,760 --> 00:19:11,720 Speaker 8: wasn't very intelligent. 351 00:19:11,760 --> 00:19:14,440 Speaker 1: But I think you should be not very intelligent. 352 00:19:14,560 --> 00:19:16,800 Speaker 8: He knows them for everything. Why are you being nice? 353 00:19:17,320 --> 00:19:19,400 Speaker 1: Not being nice? 354 00:19:19,440 --> 00:19:22,119 Speaker 8: Well, I know he knows, but you know, I'm not 355 00:19:22,119 --> 00:19:23,600 Speaker 8: going to put it all on the table right now. 356 00:19:23,640 --> 00:19:25,440 Speaker 8: I hope you do, because the guy thinks he's running 357 00:19:25,480 --> 00:19:25,960 Speaker 8: for president. 358 00:19:26,359 --> 00:19:28,720 Speaker 1: Linda, Linda, how long have you known me? How long 359 00:19:28,760 --> 00:19:30,960 Speaker 1: have you worked on this show? Twenty years? 360 00:19:31,040 --> 00:19:31,200 Speaker 3: Time? 361 00:19:31,720 --> 00:19:35,760 Speaker 1: Yes, the way you say it very long time, A 362 00:19:35,840 --> 00:19:39,080 Speaker 1: long time. You say it as if it's, you know, 363 00:19:39,160 --> 00:19:41,960 Speaker 1: the worst years of your life, accurrying best. 364 00:19:41,960 --> 00:19:43,960 Speaker 8: Years of my life. That's why I keep coming back. 365 00:19:44,080 --> 00:19:47,879 Speaker 1: Don't have to stay. I wouldn't. I always encourage you. 366 00:19:47,200 --> 00:19:49,359 Speaker 1: You're so que allow your dream. 367 00:19:49,640 --> 00:19:53,960 Speaker 8: Please just just be like, thank you so much. The 368 00:19:54,040 --> 00:19:54,720 Speaker 8: show would be. 369 00:19:54,760 --> 00:19:59,080 Speaker 1: What do you mean? Thank you for showing up at work? 370 00:19:59,119 --> 00:20:00,879 Speaker 1: Thank you for being here every day? 371 00:20:00,960 --> 00:20:02,639 Speaker 8: Twenty years of service. You don't think you need to 372 00:20:02,680 --> 00:20:05,240 Speaker 8: say thank you. I say thank you every day. 373 00:20:05,320 --> 00:20:08,959 Speaker 1: I say thank you every day and every Christmas I 374 00:20:09,000 --> 00:20:13,880 Speaker 1: say thank you the No, no, no, not on this one. 375 00:20:14,080 --> 00:20:14,920 Speaker 1: I say thank you. 376 00:20:15,560 --> 00:20:17,480 Speaker 8: Well, you had to say right here was You're right? 377 00:20:17,520 --> 00:20:20,000 Speaker 8: Twenty years Thanks for staying sticking with me. It's been great. 378 00:20:20,160 --> 00:20:22,400 Speaker 1: No, I'm not going to say thank you for staying. 379 00:20:22,440 --> 00:20:24,600 Speaker 1: I don't beg people to work for me. You have 380 00:20:24,720 --> 00:20:27,399 Speaker 1: to want to work for me. I do. And then 381 00:20:27,440 --> 00:20:29,960 Speaker 1: you could say, and I appreciate that. By the way, 382 00:20:30,080 --> 00:20:31,600 Speaker 1: I appreciate that that. 383 00:20:31,920 --> 00:20:35,280 Speaker 8: I appreciate you appreciating me. Thank you for your appreciation. 384 00:20:36,440 --> 00:20:38,760 Speaker 1: You're doing a great job every day. Otherwise you wouldn't 385 00:20:38,760 --> 00:20:40,400 Speaker 1: be working here. Let's be you do. 386 00:20:40,320 --> 00:20:42,680 Speaker 8: A great job every day. Look at you, just hosting away, 387 00:20:42,840 --> 00:20:44,200 Speaker 8: just crushing hosting away. 388 00:20:44,400 --> 00:20:46,480 Speaker 1: I don't stop. I'll make a machine. 389 00:20:46,920 --> 00:20:47,280 Speaker 8: That's right. 390 00:20:47,320 --> 00:20:49,960 Speaker 1: I let's get to our busy telephones as we say 391 00:20:50,040 --> 00:20:52,720 Speaker 1: hi to Rich in my free state of Florida. What's up, Rich? 392 00:20:52,760 --> 00:20:53,400 Speaker 1: How are you, sir? 393 00:20:54,480 --> 00:20:56,160 Speaker 2: Thanks for taking my Columbus sanity. 394 00:20:56,160 --> 00:20:56,719 Speaker 6: I'm honored. 395 00:20:58,520 --> 00:21:01,320 Speaker 2: Let's say, the State of the Union is probably President 396 00:21:01,400 --> 00:21:05,800 Speaker 2: Trump's best address ever, but clearly the danger we have 397 00:21:05,920 --> 00:21:10,080 Speaker 2: with Democrats and their allies in the fake media. We 398 00:21:10,119 --> 00:21:12,720 Speaker 2: can't afford to lose midterms, and I have two subjects 399 00:21:12,760 --> 00:21:15,119 Speaker 2: I want to bring up regarding that. The first is 400 00:21:15,160 --> 00:21:17,879 Speaker 2: the concept that would advance the economy and deal with 401 00:21:18,040 --> 00:21:22,239 Speaker 2: battling the DEM's narrative on affordability, and the second it 402 00:21:22,280 --> 00:21:25,760 Speaker 2: deals with getting Senator Thune to change his defeat is 403 00:21:25,880 --> 00:21:29,159 Speaker 2: Tune regarding the Save America Act. He acts like we 404 00:21:29,200 --> 00:21:32,000 Speaker 2: don't even have a majority in the Senate. So on 405 00:21:32,040 --> 00:21:34,560 Speaker 2: the first subject, I would suggest that they use a 406 00:21:34,640 --> 00:21:38,720 Speaker 2: reconciliation bill, which apparently is being considered the past, a 407 00:21:38,800 --> 00:21:42,320 Speaker 2: one year moratorium on all capital gains so that it 408 00:21:42,400 --> 00:21:45,800 Speaker 2: is sellable, because you can already hear the Democrats saying 409 00:21:45,840 --> 00:21:48,159 Speaker 2: this is a gift of billionaires and millionaires and that 410 00:21:48,200 --> 00:21:51,640 Speaker 2: it will not be paid for, etc. Etc. We only 411 00:21:51,680 --> 00:21:54,840 Speaker 2: got two hundred and six billion dollars from all capital 412 00:21:54,880 --> 00:21:57,639 Speaker 2: gains short and long in twenty twenty four, and that 413 00:21:57,760 --> 00:22:00,760 Speaker 2: was on about one point four trillion in reals gains, 414 00:22:01,320 --> 00:22:05,399 Speaker 2: mostly from individuals. There are trillions and trillions of dollars 415 00:22:05,480 --> 00:22:09,320 Speaker 2: of assets locked up because people don't want to get 416 00:22:09,359 --> 00:22:12,760 Speaker 2: clobbered with that tax. Eliminating the tax can generate a 417 00:22:12,840 --> 00:22:17,159 Speaker 2: higher GDP through growth and generate overall tax revenues like 418 00:22:17,240 --> 00:22:20,320 Speaker 2: we've seen every year other time taxes get cut. Real 419 00:22:20,440 --> 00:22:23,399 Speaker 2: estate is the biggest asset for American families, not for 420 00:22:23,480 --> 00:22:27,000 Speaker 2: millionaires and billionaires, and being able to keep that appreciation 421 00:22:27,160 --> 00:22:30,439 Speaker 2: is fantastic for the middle class and can easily be 422 00:22:30,600 --> 00:22:35,760 Speaker 2: paid for. That will amazingly stimulate the economy, especially with 423 00:22:35,840 --> 00:22:38,160 Speaker 2: this real estate and actually lower home prices because you're 424 00:22:38,160 --> 00:22:39,639 Speaker 2: going to see more inventory coming on. 425 00:22:40,400 --> 00:22:43,680 Speaker 1: And I could even fine tune your idea and make 426 00:22:43,720 --> 00:22:46,360 Speaker 1: it better, so it would rob the Democrats of their 427 00:22:46,520 --> 00:22:50,560 Speaker 1: argument that this benefits the rich. Yeah, and you cap 428 00:22:50,600 --> 00:22:54,760 Speaker 1: it for people whose income is you know, not above X, 429 00:22:54,880 --> 00:22:56,240 Speaker 1: whatever X happens to be. 430 00:22:57,119 --> 00:22:58,119 Speaker 2: Yeah. 431 00:22:58,920 --> 00:23:02,840 Speaker 1: And for example, because capital gains is you still pay 432 00:23:02,920 --> 00:23:05,480 Speaker 1: twenty percent capital gains tax. That's still a lot of money. 433 00:23:05,800 --> 00:23:08,359 Speaker 1: I mean the regular you know, income tax, right, I 434 00:23:08,400 --> 00:23:10,400 Speaker 1: think now it was lower to thirty five percent, thirty 435 00:23:10,440 --> 00:23:12,679 Speaker 1: seven percent, whatever, whatever the number is. All I know 436 00:23:12,800 --> 00:23:15,760 Speaker 1: is I pay my taxes. I don't even question it. 437 00:23:15,800 --> 00:23:17,840 Speaker 1: I just tell my account and every year, pay the tax, 438 00:23:17,880 --> 00:23:20,919 Speaker 1: pay the tax, pay the tax, and we do. But 439 00:23:21,040 --> 00:23:23,280 Speaker 1: I do agree with you that it would help if 440 00:23:23,280 --> 00:23:26,040 Speaker 1: we do two things. If we can get interest rates 441 00:23:26,040 --> 00:23:28,080 Speaker 1: down just a little bit further, we're now in the 442 00:23:28,160 --> 00:23:30,600 Speaker 1: thirty year fixed rate in the five range, which is 443 00:23:30,640 --> 00:23:33,480 Speaker 1: the lowest now it's been in years and years since 444 00:23:33,520 --> 00:23:36,000 Speaker 1: Donald Trump was last in office. We can do that 445 00:23:36,840 --> 00:23:41,680 Speaker 1: and do what you're saying. Those two things would jumpstart 446 00:23:41,760 --> 00:23:44,720 Speaker 1: the sale of pre existing homes. People have not wanted 447 00:23:44,760 --> 00:23:48,480 Speaker 1: to give up their low thirty year fixed rate mortgage 448 00:23:48,480 --> 00:23:50,399 Speaker 1: of three or four percent, whatever it happens to be. 449 00:23:50,920 --> 00:23:54,160 Speaker 1: And when people get to the point that they can 450 00:23:54,480 --> 00:23:56,800 Speaker 1: get a bigger home that they've wanted for the last 451 00:23:56,920 --> 00:23:59,679 Speaker 1: number of years, but interest rates are too high, tales 452 00:23:59,680 --> 00:24:02,880 Speaker 1: of existing homes will go through the roofence and new 453 00:24:02,920 --> 00:24:05,679 Speaker 1: home construction will follow that. I mean they go together, 454 00:24:05,760 --> 00:24:08,600 Speaker 1: like traffic and weather together on the fives. You listen 455 00:24:08,640 --> 00:24:10,240 Speaker 1: to news talk radio, you know. 456 00:24:10,800 --> 00:24:13,160 Speaker 2: Just to the mask this is an inflationary either it's 457 00:24:13,200 --> 00:24:16,880 Speaker 2: stimulating growth. I mean that's like go as cuddlow. You'll 458 00:24:16,920 --> 00:24:18,680 Speaker 2: be jumping up and down on this type of thing. 459 00:24:19,200 --> 00:24:21,760 Speaker 2: But you know, if what we can get going on 460 00:24:21,840 --> 00:24:23,600 Speaker 2: with the interest rates, which I believe we're going to 461 00:24:23,600 --> 00:24:25,600 Speaker 2: get lowered, and if there was ever a way to 462 00:24:25,680 --> 00:24:28,600 Speaker 2: make these low intrast rate mortgages that people have tied 463 00:24:28,640 --> 00:24:32,399 Speaker 2: to portable where they could just swap out the different asset. 464 00:24:32,760 --> 00:24:34,919 Speaker 2: That would be something else too, But I think that 465 00:24:34,960 --> 00:24:38,840 Speaker 2: would help you, know, everyday Americans, because the biggest asset 466 00:24:39,040 --> 00:24:41,800 Speaker 2: is the appreciation of the house. I mean now I 467 00:24:41,840 --> 00:24:44,000 Speaker 2: know it myself. I mean, I bought a house in 468 00:24:44,040 --> 00:24:46,359 Speaker 2: New York for next to nothing way back in the day, 469 00:24:46,800 --> 00:24:49,840 Speaker 2: and I have all sorts of profit on it. But 470 00:24:50,000 --> 00:24:52,840 Speaker 2: I want to get clovered. So that's one thing. The 471 00:24:52,880 --> 00:24:53,960 Speaker 2: other thing is, well. 472 00:24:53,800 --> 00:24:56,240 Speaker 1: It depends you could do a ten thirty one exchange. 473 00:24:56,280 --> 00:24:59,359 Speaker 1: For example, if you sell your house and invest it 474 00:24:59,400 --> 00:25:02,720 Speaker 1: in another house. I think it's applicable. You'd be able 475 00:25:02,760 --> 00:25:05,239 Speaker 1: to take that money not pay taxes on it. I mean, 476 00:25:05,280 --> 00:25:08,560 Speaker 1: they do have that loophole, and you might want to 477 00:25:08,600 --> 00:25:10,600 Speaker 1: look into it, talk to your accountant about it, and 478 00:25:10,680 --> 00:25:13,000 Speaker 1: talk to a real estate person about it. Sometimes you 479 00:25:13,040 --> 00:25:15,000 Speaker 1: can do that to avoid the tax aspect of it, 480 00:25:15,080 --> 00:25:17,240 Speaker 1: but you probably can't get whatever. If you might not 481 00:25:17,359 --> 00:25:19,520 Speaker 1: have a mortgage on your home, if you've voted a 482 00:25:19,520 --> 00:25:21,879 Speaker 1: long time, maybe you do, I don't know. And if 483 00:25:21,880 --> 00:25:23,240 Speaker 1: you do have one, I assume you have a low 484 00:25:23,280 --> 00:25:27,760 Speaker 1: interest rate mortgage. So there's a lot of options out there. 485 00:25:27,800 --> 00:25:30,200 Speaker 1: We just got to get interest rates down. They're coming 486 00:25:30,280 --> 00:25:33,240 Speaker 1: down now, they're going to get lower. The lower they get, 487 00:25:33,280 --> 00:25:35,960 Speaker 1: the better it's going to be. And it will impact 488 00:25:36,520 --> 00:25:39,320 Speaker 1: you know, great Americans like you that don't deserve to 489 00:25:39,320 --> 00:25:41,560 Speaker 1: get clobbered if you sell your house. I totally agree 490 00:25:41,600 --> 00:25:45,120 Speaker 1: with you. That is people's biggest doata sets sure Neil 491 00:25:45,720 --> 00:25:47,840 Speaker 1: the chast word go ahead, Senator. 492 00:25:47,920 --> 00:25:51,800 Speaker 2: Soon he was being interviewed and he was asked specifically 493 00:25:52,040 --> 00:25:56,400 Speaker 2: about the Save America, you know, Save America Act, right, 494 00:25:56,960 --> 00:25:59,960 Speaker 2: and he just said, Okay, we're going to get a 495 00:26:00,119 --> 00:26:02,760 Speaker 2: vote on it, but the Democrats may block it and 496 00:26:02,800 --> 00:26:05,120 Speaker 2: then we won't, but if they do, we'll be able 497 00:26:05,119 --> 00:26:08,119 Speaker 2: to go into twenty twenty six elections. Being the party 498 00:26:08,160 --> 00:26:11,600 Speaker 2: that supported is it sounds like he's just virtue signaling 499 00:26:12,080 --> 00:26:14,200 Speaker 2: rather than passing the bill. He acts like we don't 500 00:26:14,240 --> 00:26:17,120 Speaker 2: even have a majority in Senate and we're dependent upon 501 00:26:17,119 --> 00:26:20,760 Speaker 2: the Dems. And then he said we have to get 502 00:26:20,800 --> 00:26:24,560 Speaker 2: the government back open first, like he's procrastinating. How much 503 00:26:24,600 --> 00:26:27,360 Speaker 2: time does he think we have to implement the Save 504 00:26:27,440 --> 00:26:30,920 Speaker 2: America Act. We have an election coming up in November. 505 00:26:30,520 --> 00:26:35,720 Speaker 1: And I know there's strategies. Right now, it's I'm just 506 00:26:35,800 --> 00:26:38,480 Speaker 1: sit tight. It's not going anywhere, and the House is 507 00:26:38,480 --> 00:26:40,720 Speaker 1: going to vote on the sanctuary city bill as well. 508 00:26:41,520 --> 00:26:44,119 Speaker 1: I would like to see the standing filibuster. There is 509 00:26:44,160 --> 00:26:47,040 Speaker 1: a fear among some people that some senators in some 510 00:26:47,119 --> 00:26:50,840 Speaker 1: states up for reelection could get hurt. I don't necessarily 511 00:26:50,840 --> 00:26:52,840 Speaker 1: by that argument. I think we should take a stand 512 00:26:52,880 --> 00:26:56,560 Speaker 1: on it. I think American support voter ID. I think 513 00:26:56,600 --> 00:27:00,560 Speaker 1: it's basic, fundamental and proof of citizenship. It should be fundamental. 514 00:27:00,760 --> 00:27:02,159 Speaker 1: But I'm going to move on, my friend. I do 515 00:27:02,240 --> 00:27:05,800 Speaker 1: appreciate your very well informed call. Thank you eight hundred 516 00:27:05,840 --> 00:27:07,480 Speaker 1: and ninety four one, Sean. If you want to be 517 00:27:07,680 --> 00:27:12,840 Speaker 1: a part of the program. Melissa and Arizona. What's up, Melissa, 518 00:27:12,880 --> 00:27:14,399 Speaker 1: how are you hey, Sean. 519 00:27:14,720 --> 00:27:16,480 Speaker 9: I'm doing well. How are you doing? 520 00:27:16,800 --> 00:27:17,760 Speaker 1: I'm good? Thank you. 521 00:27:18,720 --> 00:27:24,600 Speaker 9: I was calling because I we're in this MOHA movement 522 00:27:24,760 --> 00:27:28,359 Speaker 9: now and but for the longest time, I have struggled 523 00:27:28,400 --> 00:27:33,360 Speaker 9: with my weight. I am overweight, grandmother raising three young grandkids. 524 00:27:33,560 --> 00:27:38,760 Speaker 9: I've been trying to lose weight. I've been trying everything. 525 00:27:39,480 --> 00:27:43,159 Speaker 9: I even do the Kale stuff like Linda. 526 00:27:43,280 --> 00:27:45,760 Speaker 1: But I don't think cale is that great for you. 527 00:27:46,000 --> 00:27:48,119 Speaker 1: And I think Linda is now coming around to my 528 00:27:48,160 --> 00:27:50,800 Speaker 1: way of thinking. It's pretty inflammatory, is it not, Linda? 529 00:27:51,320 --> 00:27:53,719 Speaker 8: Not for me? Everybody's body's different, is it. 530 00:27:53,800 --> 00:27:57,720 Speaker 9: Well, that's why I was calling, is did I misunderstand 531 00:27:57,760 --> 00:28:02,280 Speaker 9: what you said when you said that it's inflammatory? And 532 00:28:02,280 --> 00:28:05,320 Speaker 9: as like, gosh, I don't want to be eating kale 533 00:28:05,359 --> 00:28:08,719 Speaker 9: if it's inflammatory because I'm trying to lose weight, not 534 00:28:08,880 --> 00:28:09,800 Speaker 9: keep it on. 535 00:28:10,400 --> 00:28:14,720 Speaker 1: Well, look, I just rocked it. It says it's not inflammatory. 536 00:28:14,280 --> 00:28:18,040 Speaker 1: I have read other places that it is inflammatory. It 537 00:28:18,080 --> 00:28:21,680 Speaker 1: does have powerful antioxidants, it does have some good things 538 00:28:21,720 --> 00:28:25,000 Speaker 1: in it. It just tastes disgusting. I wouldn't want to 539 00:28:25,000 --> 00:28:26,840 Speaker 1: do it. I'll tell you what works for me and weight, 540 00:28:26,920 --> 00:28:28,919 Speaker 1: and then you can make your own decision. Talk to 541 00:28:28,960 --> 00:28:32,120 Speaker 1: your doctor. I have a lot of friends, for example, 542 00:28:32,160 --> 00:28:34,840 Speaker 1: that have taken the Trump calls the fat shot. Right, 543 00:28:35,920 --> 00:28:38,000 Speaker 1: you know you have nozepic. You have well GOVI you 544 00:28:38,200 --> 00:28:42,920 Speaker 1: have oh what is manjarro zep something zep bound And 545 00:28:43,000 --> 00:28:45,080 Speaker 1: I know people that have lost over one hundred pounds 546 00:28:45,120 --> 00:28:47,840 Speaker 1: on this stuff and it works. And you look at 547 00:28:47,880 --> 00:28:50,240 Speaker 1: food and apparently you like want to throw up, and 548 00:28:50,440 --> 00:28:52,480 Speaker 1: but you have to do it with doctor's care. But 549 00:28:52,520 --> 00:28:54,320 Speaker 1: it's been very effective for a lot of people that 550 00:28:54,400 --> 00:28:56,200 Speaker 1: I know, people that have lost a lot of weight, 551 00:28:56,320 --> 00:28:58,680 Speaker 1: and I think that makes them healthier. But again, you 552 00:28:58,720 --> 00:29:01,360 Speaker 1: have to ask your doctor. I don't play one on radio, 553 00:29:01,760 --> 00:29:03,520 Speaker 1: and I can only tell you what works for me. 554 00:29:04,440 --> 00:29:08,440 Speaker 1: I mostly eat two meals a day, not three. I 555 00:29:08,520 --> 00:29:11,120 Speaker 1: might snack a little bit after TV because I'm too 556 00:29:11,200 --> 00:29:15,040 Speaker 1: jacked up and my day is but I try not to. 557 00:29:15,240 --> 00:29:18,040 Speaker 1: I try to eat before TV and I try to 558 00:29:18,080 --> 00:29:20,760 Speaker 1: then close out my day that way, and I only 559 00:29:20,800 --> 00:29:23,560 Speaker 1: eat for the most part unless I'm on the road, 560 00:29:23,840 --> 00:29:26,960 Speaker 1: then I'll eat anything. But when I'm home, I eat 561 00:29:27,040 --> 00:29:30,600 Speaker 1: meat and I eat eggs. I eat protein. That's it, 562 00:29:30,800 --> 00:29:32,800 Speaker 1: and it works really well for me. You get in 563 00:29:32,840 --> 00:29:36,640 Speaker 1: a state of katosis and the pounds will fly off you. 564 00:29:37,080 --> 00:29:39,840 Speaker 1: And I did the NJ diet. That's where you would 565 00:29:39,880 --> 00:29:43,160 Speaker 1: measure out, you know, two proteins, two vegetables, you know, 566 00:29:43,240 --> 00:29:46,959 Speaker 1: two fruits a day. And it does teach you how 567 00:29:47,160 --> 00:29:48,719 Speaker 1: a portion control. 568 00:29:49,000 --> 00:29:49,120 Speaker 2: Well. 569 00:29:49,120 --> 00:29:51,200 Speaker 1: If you watch your portion, stick to protein, I think 570 00:29:51,240 --> 00:29:53,760 Speaker 1: you can do pretty well anyway. I appreciate you being 571 00:29:53,800 --> 00:29:56,320 Speaker 1: out there. Thank you so much, Melissa, God bless you. 572 00:29:56,360 --> 00:29:58,320 Speaker 1: Good luck and your weight loss battle. I know a 573 00:29:58,360 --> 00:30:00,560 Speaker 1: lot of people suffer from that. It's a pain. I 574 00:30:00,600 --> 00:30:06,600 Speaker 1: hate it. I always have to watch it. All right, 575 00:30:06,640 --> 00:30:08,160 Speaker 1: that's gonna wrap things up to today. All right, we 576 00:30:08,160 --> 00:30:13,240 Speaker 1: have an exclusive tonight James Comer interviewing Hillary Clinton on 577 00:30:13,400 --> 00:30:16,480 Speaker 1: the issue of Jeffrey Epstein. Will get a full insider's 578 00:30:16,560 --> 00:30:20,760 Speaker 1: view what happened today, Jonathan Turley, Jason Chafitz, Nicole Parker, 579 00:30:20,800 --> 00:30:24,920 Speaker 1: Greg Jarretts, Senator Tom Cotton, Nancy Grace, and I'm bravely 580 00:30:25,080 --> 00:30:28,000 Speaker 1: bringing back Jillian Michaels. I hope she does not beat 581 00:30:28,040 --> 00:30:30,680 Speaker 1: me up on national TV. She has every right to, 582 00:30:31,000 --> 00:30:33,320 Speaker 1: but it's gonna be fun. We love Jillian anyway, nine 583 00:30:33,360 --> 00:30:35,760 Speaker 1: Eastern say you DVR tonight Hannity on Fox. Will see 584 00:30:35,840 --> 00:30:39,480 Speaker 1: then back here tomorrow. Thank you for making the show possible.