1 00:00:00,000 --> 00:00:01,319 Speaker 1: Thanks to all of you for being with us. Right 2 00:00:01,360 --> 00:00:05,120 Speaker 1: down are toll free telephone number if you want to 3 00:00:05,160 --> 00:00:06,920 Speaker 1: be a part of the program, it's eight hundred and 4 00:00:06,960 --> 00:00:08,879 Speaker 1: ninety four one Sean if you want to join us. 5 00:00:08,920 --> 00:00:12,719 Speaker 1: Heading into Super Bowl Sunday weekend. You know, it's funny. 6 00:00:13,240 --> 00:00:16,919 Speaker 1: I do want the Patriots to win. And Linda didn't 7 00:00:16,920 --> 00:00:18,759 Speaker 1: even know earlier in the week who was playing in 8 00:00:18,800 --> 00:00:21,479 Speaker 1: the super Bowl. And that's fine, it's not her thing. 9 00:00:22,079 --> 00:00:23,880 Speaker 1: I mean, it took her years. Do you know across 10 00:00:23,880 --> 00:00:25,720 Speaker 1: the plane means now, do you understand that part of 11 00:00:25,760 --> 00:00:26,200 Speaker 1: the least. 12 00:00:26,760 --> 00:00:28,760 Speaker 2: I have to be honest, I've never heard anyone use 13 00:00:28,800 --> 00:00:29,920 Speaker 2: that expression except you. 14 00:00:31,080 --> 00:00:34,360 Speaker 1: Oh my god, oh my word, Oh my goodness, what 15 00:00:34,400 --> 00:00:37,040 Speaker 1: am I going to do? But you know, the more, 16 00:00:37,440 --> 00:00:39,479 Speaker 1: it's funny where my mind is. When we go on 17 00:00:39,520 --> 00:00:43,720 Speaker 1: the road as a show, I define cities that I 18 00:00:43,880 --> 00:00:47,560 Speaker 1: visited based on food, and because when I'm on the road, 19 00:00:47,720 --> 00:00:50,280 Speaker 1: I eat. I just look forward to food that I 20 00:00:50,280 --> 00:00:53,279 Speaker 1: don't usually eat. If I'm on the West Coast, it's 21 00:00:53,320 --> 00:00:55,560 Speaker 1: in an out Burger. If I'm in Salt Lake City, 22 00:00:55,600 --> 00:01:00,720 Speaker 1: it's Crown Burger. If you know, if I'm in Chicago 23 00:01:01,080 --> 00:01:03,800 Speaker 1: or I'm in Illinois. I want Chicago hot dogs. He 24 00:01:03,880 --> 00:01:06,600 Speaker 1: had delicious, you know, a real good one from a 25 00:01:06,680 --> 00:01:09,560 Speaker 1: real good place, with the real you know, natural casing 26 00:01:09,720 --> 00:01:11,880 Speaker 1: snap to it, and the pickles and the relish and 27 00:01:11,920 --> 00:01:15,880 Speaker 1: the mustard and the onions. It's so delicious, and it's 28 00:01:15,959 --> 00:01:18,000 Speaker 1: just different than a New York cont dog. You can't 29 00:01:18,000 --> 00:01:19,880 Speaker 1: buy a New York cont dog even in New York 30 00:01:19,920 --> 00:01:23,160 Speaker 1: City anymore, that's any good. I mean, they all have 31 00:01:23,200 --> 00:01:25,760 Speaker 1: some bread umbrellas. None of them have real cebrettes. It's 32 00:01:26,120 --> 00:01:28,399 Speaker 1: I mean, with the natural casing, delicious. 33 00:01:29,319 --> 00:01:29,440 Speaker 2: Uh. 34 00:01:29,520 --> 00:01:34,160 Speaker 1: There used to be around the block from our radio studio, 35 00:01:35,600 --> 00:01:39,480 Speaker 1: the one old school, an old guy that ran a 36 00:01:39,520 --> 00:01:41,840 Speaker 1: hot dogs stand. He was the only one that had 37 00:01:41,840 --> 00:01:43,479 Speaker 1: a line that went all the way down the block 38 00:01:43,800 --> 00:01:45,920 Speaker 1: because he had the best tasting hot dogs. He had 39 00:01:45,959 --> 00:01:48,919 Speaker 1: the old school hot dogs. I'm like all these people 40 00:01:49,320 --> 00:01:52,200 Speaker 1: they'd rather go the cheap route with crappy dogs, and 41 00:01:52,320 --> 00:01:55,920 Speaker 1: nobody wants to buy their food. It's really unbelievable. And 42 00:01:55,920 --> 00:01:57,800 Speaker 1: that's all I really seem to care about, is well, 43 00:01:57,840 --> 00:02:00,000 Speaker 1: what is everybody eating for the you know the super 44 00:02:00,680 --> 00:02:04,120 Speaker 1: what are they eating this weekend? I don't know. I 45 00:02:04,120 --> 00:02:06,320 Speaker 1: guess that speaks volumes about me. I'm not sure what 46 00:02:06,360 --> 00:02:10,040 Speaker 1: it is, and you think it's you call it Manarexi. 47 00:02:10,040 --> 00:02:12,360 Speaker 1: It's not Manarexi. It says I try to be healthy. 48 00:02:12,440 --> 00:02:15,160 Speaker 1: I'm trying to be my healthierself. That's a good thing. 49 00:02:15,200 --> 00:02:18,119 Speaker 2: Listen. People have things that they care about. Your thing 50 00:02:18,200 --> 00:02:21,799 Speaker 2: right now is caring about what you eat. And you've 51 00:02:21,840 --> 00:02:24,520 Speaker 2: always been a carnivore. You like to eat all those 52 00:02:24,560 --> 00:02:28,760 Speaker 2: types of things and tomahawks and ribbis and burgers, and 53 00:02:29,160 --> 00:02:31,720 Speaker 2: you are definitely a foodoholic when we're on the road, 54 00:02:31,760 --> 00:02:33,400 Speaker 2: because I feel like it's like your time just to 55 00:02:33,560 --> 00:02:36,320 Speaker 2: enjoy food as opposed to when you're home and you're measuring, 56 00:02:36,360 --> 00:02:37,840 Speaker 2: like I had four ounces to this and I had 57 00:02:37,880 --> 00:02:40,760 Speaker 2: six ounces of that. But for you, it's all about 58 00:02:40,800 --> 00:02:42,720 Speaker 2: you know, making sure you have the right steak and 59 00:02:42,760 --> 00:02:45,440 Speaker 2: the right ribs and the right that's your thing, so 60 00:02:45,520 --> 00:02:47,600 Speaker 2: you know, have at it right. 61 00:02:47,639 --> 00:02:50,240 Speaker 1: But the difference is like the stuff that you make 62 00:02:50,360 --> 00:02:54,200 Speaker 1: is disgusting, you know, cal shakes and carrot and ginger 63 00:02:54,280 --> 00:02:59,880 Speaker 1: shakes and it's like projectile vomit Linda Blair Exorcist food. 64 00:03:00,280 --> 00:03:03,440 Speaker 1: It's disgusting. And then you know, then you try to 65 00:03:03,480 --> 00:03:07,040 Speaker 1: make the case that air fried French fries are better tasting. 66 00:03:07,080 --> 00:03:10,919 Speaker 1: I'm not talking about healthy, They're definitely healthier. However, there 67 00:03:10,919 --> 00:03:14,080 Speaker 1: are good oils you can make French fries in. You know, 68 00:03:14,160 --> 00:03:20,000 Speaker 1: Talan oil for example, is healthier than you know, than 69 00:03:20,240 --> 00:03:22,800 Speaker 1: vegetable oil or whatever else they used to use in 70 00:03:22,840 --> 00:03:25,280 Speaker 1: these fast food places. But I still like, you can't 71 00:03:25,280 --> 00:03:28,720 Speaker 1: deny them McDonald's French fries. When these French fries taste great, 72 00:03:29,120 --> 00:03:31,639 Speaker 1: you just can't. But I just don't eat them very rarely, 73 00:03:32,240 --> 00:03:35,040 Speaker 1: you know, only when necessary, like when I'm on the road. 74 00:03:35,080 --> 00:03:40,240 Speaker 1: It's always necessary to eat. Anyway. The food part is 75 00:03:40,240 --> 00:03:43,360 Speaker 1: the fun part. I'd love to do. The cooking. The 76 00:03:43,440 --> 00:03:45,440 Speaker 1: idea that you think you're a better cook than me, 77 00:03:45,480 --> 00:03:48,040 Speaker 1: it drives me up a wall because you can't make 78 00:03:48,080 --> 00:03:49,800 Speaker 1: the things that I can make. You can't make it 79 00:03:49,840 --> 00:03:52,120 Speaker 1: the way that I can make them. You won't cook 80 00:03:52,160 --> 00:03:54,320 Speaker 1: them the right way. You won't put the right ingredients 81 00:03:54,320 --> 00:03:57,400 Speaker 1: in your food. You don't make why won't I? All right, 82 00:03:57,440 --> 00:03:59,880 Speaker 1: I have no interest in your spinach and artichoke. 83 00:04:00,840 --> 00:04:03,920 Speaker 2: So if we have, if we have two things that 84 00:04:03,960 --> 00:04:06,680 Speaker 2: we're making, we can make the same things. Like I 85 00:04:06,760 --> 00:04:09,960 Speaker 2: make steak, I'm making steak for dinner tonight for the family. 86 00:04:10,400 --> 00:04:11,920 Speaker 1: Okay, what do you put on your steak before you 87 00:04:11,960 --> 00:04:13,000 Speaker 1: cook it? 88 00:04:13,000 --> 00:04:15,240 Speaker 2: It depends right now. I have them resting and getting 89 00:04:15,240 --> 00:04:17,440 Speaker 2: to room temperature. So that's the first thing. 90 00:04:17,279 --> 00:04:18,839 Speaker 1: I didn't ask you. What do you how do you 91 00:04:18,920 --> 00:04:19,560 Speaker 1: season yourself? 92 00:04:19,600 --> 00:04:19,680 Speaker 3: Oh? 93 00:04:19,720 --> 00:04:21,599 Speaker 2: My god, do I have to answer it in the 94 00:04:21,640 --> 00:04:24,080 Speaker 2: exact what you're asking it. It's free will, my friend. 95 00:04:24,520 --> 00:04:27,320 Speaker 2: I'm going to put on it a little bit of butter, 96 00:04:27,640 --> 00:04:29,919 Speaker 2: a little bit of sea salt, a little bit of 97 00:04:29,960 --> 00:04:32,240 Speaker 2: ground pepper, and then I have a steak. 98 00:04:32,000 --> 00:04:37,080 Speaker 1: Seasoning, okay, and then how do you cook it? I 99 00:04:37,200 --> 00:04:41,000 Speaker 1: actually broil it. That's actually the right way to cook it. 100 00:04:41,440 --> 00:04:46,320 Speaker 1: The difference is the key to making great meat is moisture. 101 00:04:47,520 --> 00:04:49,520 Speaker 1: That is the key. That's why a fried turkey is 102 00:04:49,520 --> 00:04:52,279 Speaker 1: so much better than you know, use a turkey baster 103 00:04:52,400 --> 00:04:55,040 Speaker 1: and you take all the time based in the turkey 104 00:04:55,080 --> 00:04:57,599 Speaker 1: and it just falls off the hardened skin on the 105 00:04:57,600 --> 00:04:59,760 Speaker 1: outside of the turkey and nothing gets inside. You gotta 106 00:05:00,279 --> 00:05:05,640 Speaker 1: the turkey with you know, juices and moisture, and then 107 00:05:05,800 --> 00:05:08,360 Speaker 1: you don't need, you know, four hundred pounds of gravy 108 00:05:08,400 --> 00:05:11,960 Speaker 1: for the turkey and sim that's why I you know, 109 00:05:12,120 --> 00:05:15,360 Speaker 1: I like, you know, to fry turkeys. But if I'm 110 00:05:15,400 --> 00:05:20,000 Speaker 1: making ribs or steak, I'll use garlic, salt. Sometimes I'll 111 00:05:20,080 --> 00:05:22,640 Speaker 1: use a little bit of chili, pepper and pepper. How 112 00:05:22,680 --> 00:05:24,800 Speaker 1: do you make it? What is your perfect finish? How 113 00:05:24,800 --> 00:05:26,119 Speaker 1: do you like to eat your meat? 114 00:05:27,480 --> 00:05:30,720 Speaker 2: Well, when I make steak, I have two thick cook 115 00:05:31,040 --> 00:05:34,039 Speaker 2: New York's and I have two ribbis. 116 00:05:33,720 --> 00:05:35,640 Speaker 1: And then I have to like it cooked. Let me 117 00:05:35,680 --> 00:05:36,480 Speaker 1: put it another way. 118 00:05:36,760 --> 00:05:39,280 Speaker 2: Oh my god, what is wrong with you? Anyways? 119 00:05:39,320 --> 00:05:39,880 Speaker 1: How do you like it? 120 00:05:39,920 --> 00:05:42,720 Speaker 2: Then I put it in the oven, and then half 121 00:05:42,720 --> 00:05:45,000 Speaker 2: the family likes it medium well, and half the family 122 00:05:45,120 --> 00:05:47,440 Speaker 2: likes it medium. So it's a little bit, you know, 123 00:05:47,440 --> 00:05:49,159 Speaker 2: it's what I call black and blue. It's, you know, 124 00:05:49,200 --> 00:05:51,320 Speaker 2: a little bit of finish on the outside, nice crisp 125 00:05:51,360 --> 00:05:53,360 Speaker 2: on the top and pink on the inside. 126 00:05:53,560 --> 00:05:55,240 Speaker 1: No, you don't want to crisp on the top. No, 127 00:05:55,880 --> 00:06:00,240 Speaker 1: it's delicious meat. Meat should be medium rare if I 128 00:06:00,440 --> 00:06:04,000 Speaker 1: like it read not raw. Maybe sometimes in a restaurant 129 00:06:04,040 --> 00:06:06,760 Speaker 1: you'll call it medium rare plus. Otherwise, the more you 130 00:06:06,800 --> 00:06:07,880 Speaker 1: cook that food. 131 00:06:08,680 --> 00:06:11,960 Speaker 2: If sean you get a really nice crust on the top, 132 00:06:12,120 --> 00:06:12,680 Speaker 2: or you can do it. 133 00:06:12,760 --> 00:06:15,560 Speaker 1: I don't want to crust No, if you, if you, 134 00:06:15,560 --> 00:06:16,120 Speaker 1: you don't know what. 135 00:06:16,040 --> 00:06:17,720 Speaker 2: You missed until you had it done right. See that's 136 00:06:17,720 --> 00:06:21,680 Speaker 2: why I'm a better cook. No, you know, I think 137 00:06:21,720 --> 00:06:22,919 Speaker 2: the audience would agree with me. 138 00:06:24,080 --> 00:06:26,720 Speaker 1: What are the architects of this twenty twelve attack on 139 00:06:26,760 --> 00:06:29,280 Speaker 1: the US consulate and Bengd's You remember Clinton? Let me 140 00:06:29,440 --> 00:06:32,520 Speaker 1: remind you what difference does it make? 141 00:06:32,640 --> 00:06:37,120 Speaker 3: Remember with all the fact is we had four dead Americans? 142 00:06:37,200 --> 00:06:39,239 Speaker 3: Was it because of a protest or was it because 143 00:06:39,240 --> 00:06:41,080 Speaker 3: of guys out for a walk when night or decide 144 00:06:41,120 --> 00:06:44,599 Speaker 3: they go kill some Americans? What difference at this point 145 00:06:44,720 --> 00:06:45,440 Speaker 3: does it make? 146 00:06:46,760 --> 00:06:49,080 Speaker 1: Makes a big difference in the lives of families, and 147 00:06:49,160 --> 00:06:51,720 Speaker 1: a big difference in the in learning lessons so we 148 00:06:51,760 --> 00:06:55,520 Speaker 1: don't repeat errors. We had a CIA annex not far away. 149 00:06:55,560 --> 00:06:57,679 Speaker 1: I've interviewed the guys that were there, that were begging 150 00:06:57,760 --> 00:07:02,040 Speaker 1: to go help these people when Ambassador Stevens was killed. Anyway, 151 00:07:02,080 --> 00:07:05,760 Speaker 1: one of the architects of this deadly twenty twelve attack 152 00:07:05,800 --> 00:07:08,880 Speaker 1: on our consulate in Benghazi in Libya had been arrested 153 00:07:08,920 --> 00:07:13,400 Speaker 1: now and is being prosecuted. Thanks to the likes of 154 00:07:13,440 --> 00:07:17,680 Speaker 1: Pam Bondi, Cash Betel and Judge Jannine Piro and Cash 155 00:07:17,720 --> 00:07:20,320 Speaker 1: and Judge Piro are going to be on Hennity tonight 156 00:07:20,360 --> 00:07:22,920 Speaker 1: to discuss it and thank goodness that they did it. 157 00:07:23,680 --> 00:07:27,320 Speaker 1: You know, this is outrageous. You know, this is the difference. 158 00:07:27,360 --> 00:07:31,000 Speaker 1: You know, in the last year, the FBI was able 159 00:07:31,080 --> 00:07:35,080 Speaker 1: to get six of America's top ten most wanted. In 160 00:07:35,120 --> 00:07:39,119 Speaker 1: the entire four years of Biden, they got four because 161 00:07:39,120 --> 00:07:44,240 Speaker 1: they were so busy with their weaponization. I am predicting 162 00:07:44,320 --> 00:07:48,520 Speaker 1: we're probably now very close to some type of military 163 00:07:48,760 --> 00:07:54,520 Speaker 1: action with Iran. Iran has been escalating their pressure campaign 164 00:07:55,640 --> 00:07:58,800 Speaker 1: on the eve of these so called talks taking place today. 165 00:07:58,800 --> 00:08:00,520 Speaker 1: I don't know what there is to talk. They don't 166 00:08:00,520 --> 00:08:04,800 Speaker 1: have a nuclear program. They unveiled an underground quote missile 167 00:08:04,880 --> 00:08:08,760 Speaker 1: city housing, a new ballistic missile that they're claiming can 168 00:08:08,800 --> 00:08:13,680 Speaker 1: reach Israel in twelve minutes and anyway. The Iranian Revolutionary 169 00:08:13,720 --> 00:08:17,200 Speaker 1: Guard linked outlets outlined a multi stage plan for war 170 00:08:17,320 --> 00:08:20,360 Speaker 1: against the United States. If they think going in with 171 00:08:20,440 --> 00:08:23,440 Speaker 1: their tough talk against Donald Trump is going to save them, 172 00:08:23,520 --> 00:08:28,120 Speaker 1: it will not. The State Department is warning Americans in 173 00:08:28,200 --> 00:08:32,600 Speaker 1: Iran to quote leave now. If you are hearing this 174 00:08:32,720 --> 00:08:34,640 Speaker 1: message and you're in Iran. It might be a good 175 00:08:34,640 --> 00:08:38,440 Speaker 1: idea to do just that. Not a good situation on 176 00:08:38,440 --> 00:08:43,080 Speaker 1: the ground there at all. The Dow has now topped 177 00:08:43,840 --> 00:08:50,360 Speaker 1: fifty thousand. I think it's like the fiftieth record since 178 00:08:50,400 --> 00:08:53,800 Speaker 1: Donald Trump has been president. When he took office the 179 00:08:53,920 --> 00:08:59,199 Speaker 1: doo what was it on January twentieth, Linda, I'm looking 180 00:08:59,240 --> 00:09:02,199 Speaker 1: at it. I can't eat it. On January twenty the 181 00:09:02,280 --> 00:09:06,920 Speaker 1: Dow was forty three thousand. Today it's over fifty thousand. 182 00:09:07,160 --> 00:09:09,440 Speaker 1: I think this is now the fiftieth record set by 183 00:09:09,440 --> 00:09:12,120 Speaker 1: President Trum. Little ups and downs, mostly it's been on 184 00:09:12,160 --> 00:09:17,880 Speaker 1: a really high upward trajectory. You look at the lowest 185 00:09:17,880 --> 00:09:22,080 Speaker 1: trade deficit in twenty years, lowest gas prices in five years, 186 00:09:22,640 --> 00:09:25,640 Speaker 1: lowest interest rates now we've had in four years, and 187 00:09:25,720 --> 00:09:28,040 Speaker 1: coming down further with a new Fed chair. I'm sure 188 00:09:28,040 --> 00:09:33,840 Speaker 1: that'll happen. Inflation now in check Brillians and committed investment 189 00:09:33,920 --> 00:09:38,240 Speaker 1: moneies that are accelerated by one hundred percent depreciation in 190 00:09:38,320 --> 00:09:41,960 Speaker 1: year one. They're going to be manufacturing automobiles again in America, 191 00:09:42,040 --> 00:09:44,839 Speaker 1: something that Obama said, those jobs are never coming back. 192 00:09:45,600 --> 00:09:50,040 Speaker 1: We will be manufacturing our own pharmaceuticals, our own semiconductor 193 00:09:50,120 --> 00:09:52,839 Speaker 1: chips in partnership with other companies, But it'll be right 194 00:09:52,840 --> 00:09:55,720 Speaker 1: here in the USA where earth mining is going to 195 00:09:55,760 --> 00:09:58,839 Speaker 1: continue in the most energy aggressive policies in the history 196 00:09:58,880 --> 00:10:01,760 Speaker 1: of the country, which has led to the lowest gas 197 00:10:01,800 --> 00:10:04,280 Speaker 1: prices again in five years. That's like a tax cut 198 00:10:04,280 --> 00:10:09,040 Speaker 1: for everybody, the largest tax cuts in history, and benefiting 199 00:10:09,080 --> 00:10:11,720 Speaker 1: working men and women with no tax on tips and overtime, 200 00:10:11,960 --> 00:10:14,960 Speaker 1: and helping the seniors out in the country, no tax 201 00:10:15,000 --> 00:10:18,720 Speaker 1: on social Security. I would say that is the American 202 00:10:18,760 --> 00:10:22,920 Speaker 1: people winning on all levels. Has every American? Is every 203 00:10:22,960 --> 00:10:25,360 Speaker 1: American feeling it? No, I want to be sensitive to 204 00:10:25,400 --> 00:10:28,760 Speaker 1: those that are not. Is there a transition in the 205 00:10:28,800 --> 00:10:32,960 Speaker 1: economy with artificial intelligence. Yes, that's going to be now 206 00:10:33,840 --> 00:10:37,160 Speaker 1: years in the making, and it's going to continue. As 207 00:10:37,160 --> 00:10:40,480 Speaker 1: we go to Minneapolis, a city councilwoman called Donald Trump 208 00:10:40,559 --> 00:10:45,520 Speaker 1: a domestic terrorist after proposing to give local illegal aliens 209 00:10:45,640 --> 00:10:49,840 Speaker 1: a million dollars members of the Minneapolis City Council. Now, 210 00:10:49,960 --> 00:10:54,880 Speaker 1: I did get some background on this deal that Tom 211 00:10:54,880 --> 00:10:57,600 Speaker 1: Homan made. You know, I think there's eighty some odd 212 00:10:57,640 --> 00:11:02,600 Speaker 1: counties within Minneapolis, and he made deals with eighty one 213 00:11:03,600 --> 00:11:08,760 Speaker 1: local law enforcement officials. Now they're not allowed to retain 214 00:11:09,360 --> 00:11:13,080 Speaker 1: and hand over to ICE people because of the sanctuary 215 00:11:13,120 --> 00:11:16,079 Speaker 1: city state policies that they have in that state. But 216 00:11:16,240 --> 00:11:20,240 Speaker 1: they all these law enforcement have agreed to call Tom 217 00:11:20,280 --> 00:11:26,080 Speaker 1: Homan personally and tell Tom Homan that these people are 218 00:11:26,160 --> 00:11:30,719 Speaker 1: in their custody and when they're going to be released. Now, 219 00:11:30,720 --> 00:11:36,200 Speaker 1: that is huge, a massive shift. That's law enforcement doing 220 00:11:36,240 --> 00:11:39,720 Speaker 1: their job and not going along with the psychotic politics 221 00:11:39,720 --> 00:11:43,080 Speaker 1: of people that have no problem taking criminal illegals and 222 00:11:43,080 --> 00:11:46,600 Speaker 1: putting them back on the streets. The New York Post 223 00:11:46,640 --> 00:11:50,520 Speaker 1: has the story anti Antifa psycho arrested in Minneapolis for 224 00:11:50,559 --> 00:11:55,160 Speaker 1: threatening to kill ICE agents. Self described ANTIFA member called 225 00:11:55,160 --> 00:11:57,960 Speaker 1: for the murder and assault of ICE agents in the 226 00:11:57,960 --> 00:12:03,319 Speaker 1: streets of Minneapolis. Well, where's where's Tampon? Tim and Mayor Smallfry, 227 00:12:04,280 --> 00:12:08,280 Speaker 1: a Biden illegal alien truck driver killed four Americans after 228 00:12:08,360 --> 00:12:12,360 Speaker 1: driving his truck into incoming traffic. I mean Democrats have 229 00:12:12,720 --> 00:12:17,920 Speaker 1: turned the two Minneapolis anti ICE agitators into national martyrs. 230 00:12:18,960 --> 00:12:21,280 Speaker 1: But here are four names you'll never hear in the 231 00:12:21,400 --> 00:12:26,440 Speaker 1: legacy media. Henry Iker, fifty years old, a mental ker, 232 00:12:26,559 --> 00:12:30,480 Speaker 1: aged twenty five, Paul Iiker aged nineteen, Simon Garrard aged 233 00:12:30,520 --> 00:12:35,040 Speaker 1: twenty three. I doubt Democrats will ever mention their names. 234 00:12:35,080 --> 00:12:38,080 Speaker 1: The driver the semi truck at the center of this 235 00:12:38,200 --> 00:12:42,640 Speaker 1: multi vehicle crash left four people dead in Indiana is 236 00:12:42,679 --> 00:12:46,400 Speaker 1: in ice custody after a detainer was placed on him. Anyway. 237 00:12:46,440 --> 00:12:49,720 Speaker 1: Indiana State Police said the fatal crash happened Tuesday around 238 00:12:49,800 --> 00:12:53,120 Speaker 1: four pm on State Road sixty seven with a truck 239 00:12:53,160 --> 00:12:57,040 Speaker 1: collided with a van, and the Department of Homeland Security 240 00:12:57,080 --> 00:13:01,680 Speaker 1: told Fox News that the driver entered the via Biden 241 00:13:01,760 --> 00:13:06,160 Speaker 1: era CBP you Know One the phone app entry in 242 00:13:06,240 --> 00:13:10,800 Speaker 1: December of twenty twenty four. In Indiana, State Police, citing 243 00:13:10,840 --> 00:13:15,079 Speaker 1: the j County Coroner's office, identified the four victims. Anyway, 244 00:13:15,120 --> 00:13:19,439 Speaker 1: the driver swerved into oncoming traffic and a head on collision. 245 00:13:19,960 --> 00:13:23,280 Speaker 1: Christian McLaughlin said, not only was this illegal released into 246 00:13:23,280 --> 00:13:27,480 Speaker 1: our country by Biden using the CBP one app, but 247 00:13:27,559 --> 00:13:31,679 Speaker 1: he was also given a commercials driver's license in Pennsylvania 248 00:13:31,720 --> 00:13:36,280 Speaker 1: by Governor Shapiro under his leadership. If you call it leadership, 249 00:13:37,120 --> 00:13:42,160 Speaker 1: the dot crackdown is pulling hundreds of English illiterate illegal 250 00:13:42,360 --> 00:13:46,280 Speaker 1: truckers off the road they have to. In the case 251 00:13:46,280 --> 00:13:50,240 Speaker 1: in Florida, where these innocent people died. We found out, 252 00:13:50,880 --> 00:13:53,520 Speaker 1: Oh he had a license in Washington State, no a 253 00:13:53,559 --> 00:13:56,120 Speaker 1: license in California. He couldn't read English, and he couldn't 254 00:13:56,160 --> 00:13:59,959 Speaker 1: even read road signs. It's unbelievable. By the way, school 255 00:14:00,040 --> 00:14:03,720 Speaker 1: rules that let students leave class to protest ICE have 256 00:14:03,880 --> 00:14:08,199 Speaker 1: failing academic records. We'll get into this later in the program. 257 00:14:08,280 --> 00:14:12,760 Speaker 1: I mean this, I mean, this story really makes my 258 00:14:12,920 --> 00:14:15,719 Speaker 1: blood boil. It makes me so angry. I mean, you 259 00:14:16,160 --> 00:14:19,800 Speaker 1: have a case. This is out of Washington State. Cascade 260 00:14:19,840 --> 00:14:23,320 Speaker 1: Middle School took kids to an anti ICE protest during 261 00:14:23,400 --> 00:14:28,800 Speaker 1: school hours. They didn't inform the parents. Unbelievable, Linda, can 262 00:14:28,800 --> 00:14:32,000 Speaker 1: you believe the dows over fifty thousand? And I don't. 263 00:14:32,040 --> 00:14:37,600 Speaker 1: That's not my main psummer. Well, I mean, obviously there's 264 00:14:37,600 --> 00:14:41,160 Speaker 1: a lot of confidence in Trump policies. That's Wall Street's 265 00:14:41,200 --> 00:14:42,960 Speaker 1: reaction to that, and I'm not saying it's going to 266 00:14:43,000 --> 00:14:45,800 Speaker 1: stay perfect. I don't tell people what investments to make. 267 00:14:45,840 --> 00:14:47,840 Speaker 1: I just tell people what I do, And you know, 268 00:14:47,880 --> 00:14:49,720 Speaker 1: you have to make do your own due diligence, make 269 00:14:49,800 --> 00:14:54,760 Speaker 1: up your own mind. But immigration and enforcement, by the way, 270 00:14:54,760 --> 00:14:57,720 Speaker 1: one little side note. This was an article I read today. 271 00:14:58,720 --> 00:15:03,040 Speaker 1: Immigration sanity and two million people between people that's self 272 00:15:03,080 --> 00:15:06,840 Speaker 1: deported and the seven hundred thousand that they've gotten rid of. Well, 273 00:15:06,840 --> 00:15:10,680 Speaker 1: guess what that means, Less competition for jobs. That means 274 00:15:10,800 --> 00:15:15,400 Speaker 1: higher wages, supply and demand. Less supply, you know, greater 275 00:15:15,480 --> 00:15:19,600 Speaker 1: demand increases wages. It also lowers the price of rent 276 00:15:19,640 --> 00:15:22,560 Speaker 1: for a lot of people, which is great for people's 277 00:15:22,600 --> 00:15:27,640 Speaker 1: that's the free market's rank control in action. Eight hundred 278 00:15:27,640 --> 00:15:29,800 Speaker 1: and nine one, Shawn is our number. You want to 279 00:15:29,800 --> 00:15:32,240 Speaker 1: be a part of the program. Doctor Oz, of course, 280 00:15:32,800 --> 00:15:36,920 Speaker 1: is the seventeenth administrator of the Centers for Medicare Medicaid, 281 00:15:37,520 --> 00:15:39,880 Speaker 1: and he's here to talk about something that should be 282 00:15:39,920 --> 00:15:43,640 Speaker 1: on everybody's mind, and that's healthcare and the president's efforts 283 00:15:43,680 --> 00:15:47,160 Speaker 1: to lower the costs of healthcare and prescription drug care 284 00:15:47,800 --> 00:15:51,200 Speaker 1: and the President announcing that dozens of the most commonly 285 00:15:51,320 --> 00:15:55,920 Speaker 1: used prescription drugs will now be available at dramatic discounts, 286 00:15:56,080 --> 00:16:00,680 Speaker 1: most favorable nation pricing. That's part one of what we're 287 00:16:00,680 --> 00:16:03,000 Speaker 1: going to talk to him about. And we'll talk about 288 00:16:03,240 --> 00:16:05,440 Speaker 1: the MAHA movement. Well, they're going to talk about the 289 00:16:05,480 --> 00:16:09,480 Speaker 1: fraud and the Medicare system. Doctor Oz. Great to have you, 290 00:16:09,520 --> 00:16:10,280 Speaker 1: my friend, how are you? 291 00:16:11,720 --> 00:16:15,720 Speaker 4: I loving life? And you beautifully summarize what launched last night, 292 00:16:16,200 --> 00:16:20,840 Speaker 4: which is trumprx dot gov, which everyone listening should think 293 00:16:20,880 --> 00:16:23,560 Speaker 4: of going to. It's free, but you want to check 294 00:16:23,560 --> 00:16:25,920 Speaker 4: to make sure that the medications that you are paying 295 00:16:25,960 --> 00:16:28,360 Speaker 4: for are at the best price possible. And the President 296 00:16:28,360 --> 00:16:31,880 Speaker 4: has had all of the wonderful work that he's championed 297 00:16:32,000 --> 00:16:35,400 Speaker 4: around Most favor Dation Drug pricing. Put all those prices 298 00:16:35,440 --> 00:16:38,280 Speaker 4: on trump rx dot gov, so folks know for sure 299 00:16:38,560 --> 00:16:40,200 Speaker 4: if they're getting the best price. And by the way, 300 00:16:40,240 --> 00:16:42,880 Speaker 4: when you're there, if you're on one of those medications, 301 00:16:43,200 --> 00:16:44,960 Speaker 4: we can give you a coupon. You can print it, 302 00:16:45,000 --> 00:16:47,760 Speaker 4: you can put it in your wallet, in your phone, 303 00:16:47,800 --> 00:16:50,040 Speaker 4: laws digitally if you desire, and then go to a 304 00:16:50,120 --> 00:16:53,400 Speaker 4: drug store or have a specialty pharmacy wherever you get 305 00:16:53,440 --> 00:16:56,120 Speaker 4: your medication from the manufacturer and you'll get those prices 306 00:16:56,120 --> 00:16:58,960 Speaker 4: that US government has negotiated. So I want to take 307 00:16:58,960 --> 00:17:01,080 Speaker 4: a step back into everybody. So I mean, you know, 308 00:17:01,120 --> 00:17:02,960 Speaker 4: but I want to be on the same page because 309 00:17:02,960 --> 00:17:06,119 Speaker 4: it's such a critical issue. Is most favorite NS drug pricing? 310 00:17:06,160 --> 00:17:08,320 Speaker 4: What does that mean? Well, you probably don't know this, 311 00:17:08,600 --> 00:17:13,320 Speaker 4: but until today, if you bought the average grand medication 312 00:17:13,400 --> 00:17:16,200 Speaker 4: in America, you would pay three times more on average 313 00:17:16,240 --> 00:17:19,520 Speaker 4: than that same medication sold overseas, even if it was 314 00:17:19,520 --> 00:17:22,040 Speaker 4: made in America, even if it was made the same factory. 315 00:17:22,520 --> 00:17:25,719 Speaker 4: And that's because pharmaceutical companies have been getting away with 316 00:17:26,200 --> 00:17:28,520 Speaker 4: the president. And you know he has a powerful personality. 317 00:17:28,600 --> 00:17:32,760 Speaker 4: Sean you've you've dealt with it for years, has said, 318 00:17:32,920 --> 00:17:35,720 Speaker 4: he's not toddling that anymore. It's not fair, it's not right. 319 00:17:35,760 --> 00:17:39,119 Speaker 4: It's global freeloading. So he demanded in this syst he 320 00:17:39,200 --> 00:17:43,000 Speaker 4: demanded that Department doing companies come into compliance and in fairness. 321 00:17:43,000 --> 00:17:45,240 Speaker 4: When we actually went to them and said the President's upset, 322 00:17:45,440 --> 00:17:47,280 Speaker 4: they all look back at us and said, you know what, 323 00:17:48,680 --> 00:17:50,840 Speaker 4: you know, you'd come knocking one day. You know, you 324 00:17:50,840 --> 00:17:52,840 Speaker 4: guys would figure it out one day. So we had 325 00:17:52,880 --> 00:17:55,360 Speaker 4: these great people came in the government to serve this president. 326 00:17:55,440 --> 00:17:59,200 Speaker 4: Chris Clump, John Brooks and Mornandez, great people, and they 327 00:17:59,480 --> 00:18:02,639 Speaker 4: worked together to get these great prices. And then the 328 00:18:02,680 --> 00:18:05,840 Speaker 4: president brought in world class people like Joe Jebia who 329 00:18:05,840 --> 00:18:09,000 Speaker 4: built Airbnb. Anyone's hurt of Airbnb, that's who actually built 330 00:18:09,000 --> 00:18:13,480 Speaker 4: the website with Courtein, And these are the guys that 331 00:18:13,560 --> 00:18:16,119 Speaker 4: actually billion as they are, could make something that works 332 00:18:16,119 --> 00:18:18,600 Speaker 4: so beautifully that we could have sold it and made 333 00:18:18,640 --> 00:18:20,000 Speaker 4: the government a ton of money if we wanted to. 334 00:18:20,119 --> 00:18:22,119 Speaker 4: But the President wise he held on to it and 335 00:18:22,480 --> 00:18:23,560 Speaker 4: made it available for everybody. 336 00:18:23,600 --> 00:18:27,800 Speaker 1: Right now, Well, you know, we've got to look at 337 00:18:27,840 --> 00:18:29,919 Speaker 1: the big picture when it comes to healthcare in so 338 00:18:29,960 --> 00:18:33,520 Speaker 1: many different ways. It really is infuriating to me. And 339 00:18:33,560 --> 00:18:36,600 Speaker 1: I'll be honest, I wasn't that aware of it because 340 00:18:36,720 --> 00:18:41,160 Speaker 1: it was very underreported on the issue of Okay, these 341 00:18:41,240 --> 00:18:46,200 Speaker 1: countries that have socialized medicine would get American pharmaceuticals at 342 00:18:46,320 --> 00:18:51,480 Speaker 1: much lower prices than we're being charged to American citizens. Now, 343 00:18:51,840 --> 00:18:54,280 Speaker 1: there's a whole process that these companies have to go 344 00:18:54,320 --> 00:18:57,720 Speaker 1: through to get FDA approval and get these medications to market, 345 00:18:57,800 --> 00:19:00,520 Speaker 1: and they usually spend billions of dollars and then they 346 00:19:00,520 --> 00:19:02,560 Speaker 1: only have correct me if I'm wrong, a ten year 347 00:19:02,640 --> 00:19:04,720 Speaker 1: window where they can make their money back and make 348 00:19:04,760 --> 00:19:09,200 Speaker 1: a profit before it gets open to generic variations of it. 349 00:19:09,920 --> 00:19:12,879 Speaker 1: And so that's that this is a very very competitive, 350 00:19:12,880 --> 00:19:15,879 Speaker 1: difficult business. But why would foreign countries because they have 351 00:19:15,960 --> 00:19:20,440 Speaker 1: socialized medicine, you know, get a lower rate than American citizens. 352 00:19:20,440 --> 00:19:23,680 Speaker 4: That's insane because they can get away with it. The 353 00:19:23,720 --> 00:19:26,640 Speaker 4: irony of leading a country is if you don't ask 354 00:19:26,680 --> 00:19:29,159 Speaker 4: tough questions, you don't get answers that you can work with. 355 00:19:29,240 --> 00:19:32,000 Speaker 4: The President came in and said, enough's enough. I'm not 356 00:19:32,000 --> 00:19:33,679 Speaker 4: going to tolerate it. Same as NATO. By the way, 357 00:19:33,720 --> 00:19:36,240 Speaker 4: you know NATO, as everyone knows, there was an external 358 00:19:36,280 --> 00:19:38,600 Speaker 4: threat to Europe. President went over there and said, everyone's 359 00:19:38,600 --> 00:19:40,520 Speaker 4: could to put a five percent of their gross national 360 00:19:40,560 --> 00:19:43,960 Speaker 4: product or GDP, and that's okay. That's such your tax 361 00:19:44,000 --> 00:19:45,600 Speaker 4: for being in NATO, and we're going to pick up 362 00:19:45,600 --> 00:19:47,600 Speaker 4: the tab. And it's not like we're not paying. We're 363 00:19:47,600 --> 00:19:49,480 Speaker 4: still paying quite a bit. We're funding a lot of 364 00:19:49,520 --> 00:19:52,480 Speaker 4: the research, and that's okay, Sean. We're curing cancer, we're 365 00:19:52,640 --> 00:19:56,400 Speaker 4: helping kids get past the bit otherwise incurable diseases. And 366 00:19:56,440 --> 00:19:58,160 Speaker 4: these are the kinds of things that a great nation 367 00:19:58,280 --> 00:20:00,000 Speaker 4: does for its people, and the arrest of the world 368 00:20:00,119 --> 00:20:03,879 Speaker 4: benefits because we're discovering these wonderful cures. However, they do 369 00:20:04,000 --> 00:20:06,160 Speaker 4: need to pay once we discovered them, the same as 370 00:20:06,160 --> 00:20:08,639 Speaker 4: we need to pay, and especially when you see some 371 00:20:08,760 --> 00:20:12,199 Speaker 4: of the results of other in other countries, where countries 372 00:20:12,200 --> 00:20:14,439 Speaker 4: are pretending that they're helping their citizens, but they're not 373 00:20:14,520 --> 00:20:17,480 Speaker 4: giving them access to the same life saving medications we have, 374 00:20:17,880 --> 00:20:20,480 Speaker 4: which that of course raises our prices. You get upset 375 00:20:20,520 --> 00:20:22,240 Speaker 4: about it. So when we go to these other countries, 376 00:20:22,280 --> 00:20:24,080 Speaker 4: and the UK is a good example. We went to 377 00:20:24,080 --> 00:20:27,240 Speaker 4: the United Kingdom and you know, a great negotiators went 378 00:20:27,240 --> 00:20:29,119 Speaker 4: over there and just said, no more, no muss, you 379 00:20:29,160 --> 00:20:31,439 Speaker 4: got to deal with this. And the British said, all right, 380 00:20:31,480 --> 00:20:33,280 Speaker 4: all right, we've got to pay more, because we should. 381 00:20:33,520 --> 00:20:35,040 Speaker 4: We're going to catch up a little bit to what 382 00:20:35,080 --> 00:20:36,920 Speaker 4: the US is paying. That way, the US can pay 383 00:20:36,920 --> 00:20:39,120 Speaker 4: a little less. But let's look at some of the examples. 384 00:20:39,119 --> 00:20:41,120 Speaker 4: What does that actually do. I'll give you two concrete 385 00:20:41,119 --> 00:20:44,040 Speaker 4: ones that we presented for the president last night. As 386 00:20:44,040 --> 00:20:45,880 Speaker 4: you know, we went on Fox News and other networks 387 00:20:46,040 --> 00:20:48,639 Speaker 4: five times. It sort of launched the website again, Trump 388 00:20:49,480 --> 00:20:52,040 Speaker 4: rx dot gov. So the president sa, are, okay, first off, fertility, 389 00:20:52,040 --> 00:20:54,000 Speaker 4: we want to have more babies. One third of families 390 00:20:54,000 --> 00:20:57,000 Speaker 4: are under baby and their key medications you need for 391 00:20:57,040 --> 00:21:00,720 Speaker 4: that treatment are three four thousand dollars. What's under five 392 00:21:00,800 --> 00:21:03,520 Speaker 4: hundred dollars. It's ninety percent off I'll say it again. 393 00:21:03,520 --> 00:21:06,040 Speaker 4: It'st one tenth the price what it used to be 394 00:21:06,040 --> 00:21:08,119 Speaker 4: before today, and you can access it by going to 395 00:21:08,119 --> 00:21:10,919 Speaker 4: Trump or start up another good example, you know, by 396 00:21:10,960 --> 00:21:12,399 Speaker 4: the way, that will make us a lot of Trump babies. 397 00:21:12,440 --> 00:21:13,520 Speaker 4: I think we'll be happy about that. 398 00:21:15,440 --> 00:21:17,400 Speaker 1: He's gonna want the babies named after him. 399 00:21:17,400 --> 00:21:20,280 Speaker 4: But go ahead, yes, we'll come back to that. The 400 00:21:20,320 --> 00:21:23,040 Speaker 4: other big issue is weight loss, and you were talking 401 00:21:23,040 --> 00:21:25,679 Speaker 4: about it with Peter Harris's product and Peter Harrison byways 402 00:21:25,680 --> 00:21:28,679 Speaker 4: a superstartup. So happy you guys are working together. But 403 00:21:29,480 --> 00:21:31,439 Speaker 4: he's got a great solution, right, you know, for a 404 00:21:31,440 --> 00:21:33,600 Speaker 4: healthy meal, and that's you always start with great food 405 00:21:33,600 --> 00:21:36,040 Speaker 4: and exercises, you do. You look at I was with 406 00:21:36,080 --> 00:21:38,440 Speaker 4: you and Angsley by the way last week. I had 407 00:21:38,440 --> 00:21:40,639 Speaker 4: to tell everybody they looked like greyhounds. I mean, this 408 00:21:40,680 --> 00:21:41,560 Speaker 4: is a beautiful couple. 409 00:21:44,080 --> 00:21:47,760 Speaker 1: I keep reading articles. Why is she dating Grandpa? I'm like, 410 00:21:47,800 --> 00:21:49,800 Speaker 1: good grief, it's very frustrating. 411 00:21:50,240 --> 00:21:52,600 Speaker 4: No, you are a handsome couple. I was angry this 412 00:21:52,640 --> 00:21:57,280 Speaker 4: morning commenting on it. But the beautiful part about life 413 00:21:57,720 --> 00:21:59,879 Speaker 4: in this era is if you can't lose weight with 414 00:22:00,040 --> 00:22:03,359 Speaker 4: eating right, exercising and sleeping and the things that you 415 00:22:03,440 --> 00:22:05,880 Speaker 4: know are the first land therapy. We have medications called 416 00:22:05,920 --> 00:22:09,520 Speaker 4: gop ones. The president, as you know, their weight loss products. 417 00:22:09,520 --> 00:22:12,200 Speaker 4: He calls it the fat shot. But yesterday we announced 418 00:22:12,200 --> 00:22:14,520 Speaker 4: there's a fat pill. Now there's a medication you can take. This, 419 00:22:14,600 --> 00:22:17,360 Speaker 4: a pill that will also help you lose weight, made 420 00:22:17,400 --> 00:22:18,000 Speaker 4: by one of the time. 421 00:22:18,320 --> 00:22:22,639 Speaker 1: Is it as effective as say Ozembic or Manjaro or 422 00:22:22,880 --> 00:22:24,399 Speaker 1: zep bound or any of the other ones. 423 00:22:24,960 --> 00:22:27,840 Speaker 4: It's actually Ozempic's pill form. It's the pill version of 424 00:22:27,840 --> 00:22:30,680 Speaker 4: the shot then company. And there's one made by the 425 00:22:30,720 --> 00:22:33,200 Speaker 4: other big company, Lily, coming out as well, and they're 426 00:22:33,280 --> 00:22:35,879 Speaker 4: not quite as effective, but pretty dark close. But the 427 00:22:35,880 --> 00:22:38,399 Speaker 4: beautiful part about all this is the pricing. Now we 428 00:22:38,440 --> 00:22:40,919 Speaker 4: can get these pills for one hundred and fifty bucks. 429 00:22:41,080 --> 00:22:44,520 Speaker 4: These drugs used to cost twelve hundred dollars. Now for 430 00:22:44,520 --> 00:22:47,040 Speaker 4: one hundred and fifty dollars. I throught the shots that's 431 00:22:47,080 --> 00:22:49,320 Speaker 4: worked as closer to two hundred and fifty dollars. You 432 00:22:49,320 --> 00:22:52,280 Speaker 4: can get great access to them now, Sean, this is 433 00:22:52,320 --> 00:22:54,160 Speaker 4: a big issue because the folks who are suffering from 434 00:22:54,160 --> 00:22:58,040 Speaker 4: obesity are living in impoverished parts of the country. They're 435 00:22:58,080 --> 00:23:00,399 Speaker 4: often suffering from other ailments as well. You can get 436 00:23:00,400 --> 00:23:04,000 Speaker 4: them to lose weight. You will save lives and you'll 437 00:23:04,000 --> 00:23:06,920 Speaker 4: save America tremendous amounts of money. We will actually more 438 00:23:07,000 --> 00:23:09,400 Speaker 4: than pay for the cost of the medications by reducing 439 00:23:09,560 --> 00:23:11,679 Speaker 4: heart attacks and strokes and kidney failure and all the 440 00:23:11,680 --> 00:23:12,800 Speaker 4: problems associated with that. 441 00:23:13,080 --> 00:23:17,080 Speaker 1: But Sehn diabetes right, adult on set, Yeah. 442 00:23:16,760 --> 00:23:19,320 Speaker 4: And high pretension. But here's the big question. What is 443 00:23:19,359 --> 00:23:22,360 Speaker 4: the number one zip code for using these JLP weight 444 00:23:22,400 --> 00:23:24,920 Speaker 4: loss drugs. Number one in the country is drum Roll, 445 00:23:25,560 --> 00:23:29,320 Speaker 4: Upper East side of Manhattan. That's right. Rich people buy 446 00:23:29,359 --> 00:23:32,879 Speaker 4: these drugs. They're going to lose three pounds for Valentine's 447 00:23:32,920 --> 00:23:34,760 Speaker 4: Day and they'll take the menage. But what about the 448 00:23:34,800 --> 00:23:38,120 Speaker 4: poor people who are vulnerable and left behind and don't 449 00:23:38,119 --> 00:23:40,480 Speaker 4: have the resource. They just if they're having a weight problem, 450 00:23:40,520 --> 00:23:42,800 Speaker 4: they just suffer from the diabetes and hypertension and all 451 00:23:42,800 --> 00:23:45,840 Speaker 4: the other complications. So the President said, no, we haven't 452 00:23:45,880 --> 00:23:48,320 Speaker 4: do that anymore. We're going to make these medications available 453 00:23:48,680 --> 00:23:51,720 Speaker 4: from now on. You can pay cash, you can work 454 00:23:51,760 --> 00:23:54,240 Speaker 4: with your companies get them to match the price. There's 455 00:23:54,320 --> 00:23:56,320 Speaker 4: lots of options. And by the way, medicaid for the 456 00:23:56,480 --> 00:23:59,720 Speaker 4: governors out there we're dropping all the prices for your products. 457 00:23:59,720 --> 00:24:01,520 Speaker 4: So it's going to make it a lot easier to 458 00:24:01,520 --> 00:24:03,879 Speaker 4: afford to take care of Medicaid population. Which is the 459 00:24:03,960 --> 00:24:04,720 Speaker 4: ultimatation that. 460 00:24:06,119 --> 00:24:09,560 Speaker 1: All right, let me ask you about healthcare in general, 461 00:24:09,600 --> 00:24:12,359 Speaker 1: and I want to detail this and we have about, 462 00:24:12,760 --> 00:24:14,960 Speaker 1: you know, about seven minutes, so you're gonna have to 463 00:24:15,000 --> 00:24:18,800 Speaker 1: talk fast. So if you look at Obamacare, what was 464 00:24:18,840 --> 00:24:21,800 Speaker 1: the promise every American would keep their doctor, keep their plan, 465 00:24:21,920 --> 00:24:24,400 Speaker 1: the average family would save twenty five hundred dollars per 466 00:24:24,440 --> 00:24:27,280 Speaker 1: family per year. Okay, the results are in. Millions of 467 00:24:27,320 --> 00:24:31,159 Speaker 1: Americans lost their doctors, millions lost their plan. The average 468 00:24:31,200 --> 00:24:35,280 Speaker 1: American is paying three hundred plus percent more. Many people, 469 00:24:35,359 --> 00:24:37,320 Speaker 1: over forty percent of the country they have one if 470 00:24:37,320 --> 00:24:42,120 Speaker 1: they're lucky to Obamacare exchange options. I would argue they're 471 00:24:42,160 --> 00:24:45,560 Speaker 1: bad and worse. And you know, we really have screwed 472 00:24:45,640 --> 00:24:49,600 Speaker 1: up the system. And we see for example, socialized medicine, 473 00:24:49,600 --> 00:24:52,479 Speaker 1: the National Health Services in Great Britain. You know, so 474 00:24:52,480 --> 00:24:54,800 Speaker 1: many people from Great Britain come here for medical care. 475 00:24:55,320 --> 00:24:58,920 Speaker 1: The single payer system in Canada. If you need treatment, 476 00:24:59,080 --> 00:25:00,960 Speaker 1: so many people in Canad if they can afford it, 477 00:25:01,000 --> 00:25:05,760 Speaker 1: they come to American hospitals, American doctors. What can we 478 00:25:05,960 --> 00:25:11,439 Speaker 1: do long term? He'll improve health insurance and lower the cost. 479 00:25:11,800 --> 00:25:14,960 Speaker 1: And tie that into the amount of fraud and how 480 00:25:15,040 --> 00:25:18,880 Speaker 1: much fraud are we talking about as it relates to Medicare, 481 00:25:18,920 --> 00:25:19,359 Speaker 1: et cetera. 482 00:25:20,720 --> 00:25:24,960 Speaker 4: We estimate one hundred billion dollars of fraud and put 483 00:25:25,000 --> 00:25:28,240 Speaker 4: that in context cms the agency that the President and 484 00:25:28,320 --> 00:25:31,679 Speaker 4: Secretary Kennedy hask me to run does out close to 485 00:25:31,720 --> 00:25:34,720 Speaker 4: two trillion dollars a year. It's actually largest, it's the 486 00:25:34,760 --> 00:25:37,640 Speaker 4: largest agency we have because there's so many folks who 487 00:25:37,680 --> 00:25:40,600 Speaker 4: need healthcare, and we think that at least one hundred 488 00:25:40,640 --> 00:25:44,560 Speaker 4: billion dollars of that is not spent appropriately. It's fraudulent, 489 00:25:44,680 --> 00:25:48,040 Speaker 4: it's wasteful, it's inefficient, and for that reason, we've been 490 00:25:48,080 --> 00:25:51,000 Speaker 4: going after it. And you've been seeing the fireworks around Minnesota, 491 00:25:51,359 --> 00:25:53,840 Speaker 4: where we're going to defer some of their money if 492 00:25:53,840 --> 00:25:56,520 Speaker 4: we can't prove that they're spending at wisely California, where 493 00:25:56,680 --> 00:25:59,159 Speaker 4: Governor Newsom, instead of beginning with the actual crisis in 494 00:25:59,280 --> 00:26:03,400 Speaker 4: his own state, has been lambasting me with unrelated accusations 495 00:26:03,440 --> 00:26:05,600 Speaker 4: just so he doesn't talk about the real problems. And 496 00:26:05,840 --> 00:26:08,240 Speaker 4: we went out today today with a letter to State 497 00:26:08,240 --> 00:26:11,120 Speaker 4: of Maine, which looks a lot like Minnesota when you're 498 00:26:11,160 --> 00:26:14,600 Speaker 4: digging to the real levels of fraud, especially around things 499 00:26:14,600 --> 00:26:17,639 Speaker 4: like autism services, where they in Minnesota they are paying 500 00:26:17,720 --> 00:26:20,760 Speaker 4: moms to lie that their kids at autism so that 501 00:26:20,800 --> 00:26:22,280 Speaker 4: they could then hire more people. 502 00:26:22,480 --> 00:26:25,880 Speaker 1: In the Somali community, wasn't an eighty percent autism right? 503 00:26:27,000 --> 00:26:31,040 Speaker 4: Yes, exactly. Trade is very very high in the Somali community. 504 00:26:31,480 --> 00:26:33,280 Speaker 4: And of course part of the issue is if you're 505 00:26:33,320 --> 00:26:36,439 Speaker 4: living in the Somali neighborhood and you are just honest 506 00:26:36,440 --> 00:26:39,600 Speaker 4: about your needs and all your relatives and friends do 507 00:26:39,680 --> 00:26:41,280 Speaker 4: the same thing, you can take care of each other's 508 00:26:41,320 --> 00:26:44,119 Speaker 4: kids and pretend that you're actually working to get better this 509 00:26:44,240 --> 00:26:46,480 Speaker 4: society went and in fact, what you're doing is stealing money. 510 00:26:46,600 --> 00:26:49,119 Speaker 4: The moms get paid and the babysitters who are supposed 511 00:26:49,119 --> 00:26:50,600 Speaker 4: to take care of the kids get paid. Of course, 512 00:26:50,760 --> 00:26:53,840 Speaker 4: there's no real benefits to society. But the bigger question 513 00:26:53,880 --> 00:26:56,480 Speaker 4: you're asking, I want to make us uplifting, because I'm 514 00:26:56,520 --> 00:26:59,080 Speaker 4: more optimistic today that before, you know. So. I called 515 00:26:59,119 --> 00:27:02,040 Speaker 4: you the day the president dominated me, and I think 516 00:27:02,320 --> 00:27:04,359 Speaker 4: I was excited to probably hear my voice and you 517 00:27:04,359 --> 00:27:07,119 Speaker 4: were helpful. God bless you and help and navigate a 518 00:27:07,119 --> 00:27:10,119 Speaker 4: lot of this as a good friend always is and 519 00:27:10,200 --> 00:27:13,400 Speaker 4: you always are. But the details of the solution all 520 00:27:13,400 --> 00:27:17,200 Speaker 4: come down to one basic fundamental reality. We have technology 521 00:27:17,240 --> 00:27:19,199 Speaker 4: now and AI is part of it, and people are 522 00:27:19,200 --> 00:27:22,160 Speaker 4: scared of AI, and I get it. But if used correctly, 523 00:27:22,560 --> 00:27:25,600 Speaker 4: AI could allow us to detect fraud, wasteed abuse almost 524 00:27:25,600 --> 00:27:29,119 Speaker 4: instantaneously and remediate it. It could reject money leaving the 525 00:27:29,119 --> 00:27:31,120 Speaker 4: building if not being spent right. It would also help 526 00:27:31,200 --> 00:27:33,600 Speaker 4: us direct care people need it, and we can also 527 00:27:33,920 --> 00:27:37,800 Speaker 4: not only empower beneficiaries patients, people who would better advice 528 00:27:37,800 --> 00:27:39,720 Speaker 4: about the decisions they can make, like you know, eat 529 00:27:39,760 --> 00:27:43,560 Speaker 4: more Peter Peter Harris's food, or exercise that Sha undoes 530 00:27:43,600 --> 00:27:45,400 Speaker 4: with martial arts or you know whatever. The other help 531 00:27:45,400 --> 00:27:47,560 Speaker 4: advice is go to Steve an hour earlier. But it 532 00:27:47,560 --> 00:27:51,119 Speaker 4: could also help people like me, doctors and hospitals and 533 00:27:52,119 --> 00:27:55,320 Speaker 4: folks who are the providers do a better job managing 534 00:27:55,359 --> 00:27:57,960 Speaker 4: your illness and your challenges and being there for you 535 00:27:58,000 --> 00:28:00,680 Speaker 4: when you need us, not when you can get an appointment. 536 00:28:01,000 --> 00:28:03,520 Speaker 4: And that's the way we will fix healthcare ultimately. And 537 00:28:03,560 --> 00:28:05,880 Speaker 4: I do believe that this is not just a pie 538 00:28:05,880 --> 00:28:08,240 Speaker 4: in the sky. I think within three years we will 539 00:28:08,240 --> 00:28:11,520 Speaker 4: have robots who will actually help with some basic manual 540 00:28:11,560 --> 00:28:14,879 Speaker 4: efforts within hospitals, nursing homes, et cetera. AI will drive 541 00:28:15,160 --> 00:28:18,520 Speaker 4: much of the initial conversations you have with the healthcare system. 542 00:28:18,640 --> 00:28:20,320 Speaker 4: If you live in rural America, and you know we 543 00:28:20,440 --> 00:28:24,240 Speaker 4: put fifty billion dollars. President is dedicated the largest sum 544 00:28:24,240 --> 00:28:27,040 Speaker 4: of money ever to help people rule parts of this country. 545 00:28:27,240 --> 00:28:29,280 Speaker 4: Many of them listen to the show. You know that's 546 00:28:29,280 --> 00:28:30,960 Speaker 4: going to help a lot, and that money shouldn't be 547 00:28:31,040 --> 00:28:34,760 Speaker 4: used to resize right size the system, to bring technology 548 00:28:34,800 --> 00:28:37,600 Speaker 4: to the forefront. Just the technology is helped in banking 549 00:28:37,640 --> 00:28:39,880 Speaker 4: and streaming videos and being able to listen to your 550 00:28:39,920 --> 00:28:42,520 Speaker 4: show and change so much of our lives. Has not 551 00:28:42,760 --> 00:28:44,280 Speaker 4: impacted healthcare the same way. 552 00:28:45,880 --> 00:28:49,480 Speaker 1: Honestly, you're like the smartest guy on healthcare that I've 553 00:28:49,480 --> 00:28:53,000 Speaker 1: ever met in my life. The beauty is if we 554 00:28:53,080 --> 00:28:56,320 Speaker 1: get rid of the waste, fraud, abuse and corruption, that 555 00:28:56,480 --> 00:29:00,959 Speaker 1: means more money for healthcare for people who really need it. 556 00:29:01,360 --> 00:29:04,440 Speaker 1: And if we manage the costs of it's that means 557 00:29:04,560 --> 00:29:10,280 Speaker 1: better care and that plays into health, wellness, fitness, nutrition, longevity, 558 00:29:10,360 --> 00:29:13,720 Speaker 1: things that are on people's minds. I could talk to 559 00:29:13,760 --> 00:29:16,200 Speaker 1: you for hours. I really did enjoy seeing you in 560 00:29:16,240 --> 00:29:19,880 Speaker 1: your beautiful bride over the weekend. I don't get to 561 00:29:19,880 --> 00:29:21,680 Speaker 1: see you enough. I know you're working around the clock. 562 00:29:21,680 --> 00:29:24,080 Speaker 1: We appreciate all the work you're doing. Please keep us 563 00:29:24,160 --> 00:29:26,440 Speaker 1: up to speed on all of this. Who are you 564 00:29:26,480 --> 00:29:29,600 Speaker 1: picking for the Super Bowl, Doug Ras. 565 00:29:29,360 --> 00:29:31,560 Speaker 4: I'm going with the Pats, the Patriots. I went to 566 00:29:31,600 --> 00:29:33,240 Speaker 4: College of Baha, have no choice. 567 00:29:33,840 --> 00:29:35,880 Speaker 1: Yeah, I want the Pats too. I like Robert Craft. 568 00:29:36,000 --> 00:29:38,560 Speaker 1: All right, sir, thank you. Eight hundred and nine one. Sean, 569 00:29:38,600 --> 00:29:39,920 Speaker 1: If you want to be a part of the program,