1 00:00:04,080 --> 00:00:09,760 Speaker 1: We have come in your wanna way. 2 00:00:09,760 --> 00:00:14,040 Speaker 2: I get Thomas saying you a conscience will I'll be 3 00:00:14,360 --> 00:00:20,920 Speaker 2: entire tell and if you want a little banging again. 4 00:00:20,600 --> 00:00:21,640 Speaker 1: When you ain't come along. 5 00:00:22,160 --> 00:00:23,960 Speaker 3: Who's leaving the Democratic Party. 6 00:00:24,200 --> 00:00:24,959 Speaker 4: I'm just curious. 7 00:00:25,000 --> 00:00:26,160 Speaker 5: There are lots of leaders. 8 00:00:26,400 --> 00:00:28,040 Speaker 1: I'm not going to go through names because then I'm 9 00:00:28,040 --> 00:00:30,760 Speaker 1: gonna leave somebody out and then I'm gonna hear about it. Nancy, 10 00:00:31,560 --> 00:00:33,680 Speaker 1: I might have to read that we're here to talk 11 00:00:33,720 --> 00:00:36,320 Speaker 1: about the sixtieth anniversary of Medicaid. 12 00:00:36,320 --> 00:00:37,760 Speaker 6: That's what I agreed to come to talk. 13 00:00:37,880 --> 00:00:40,400 Speaker 3: Yeah, I wish I could say save for the executive branch, 14 00:00:41,360 --> 00:00:45,440 Speaker 3: Coace's doing his best to dismantle the constitution. I'm being 15 00:00:45,479 --> 00:00:48,040 Speaker 3: dead Earnest Man fredom. 16 00:00:48,000 --> 00:00:51,760 Speaker 5: Is back in style. Welcome to the. 17 00:00:53,400 --> 00:00:58,480 Speaker 2: Coming to your sea way. 18 00:00:58,520 --> 00:01:01,000 Speaker 3: I gets and saying you got to saw. 19 00:01:02,920 --> 00:01:04,840 Speaker 7: The new Sean Hennity Show. 20 00:01:05,200 --> 00:01:09,000 Speaker 3: More be I'm the scenes, information on freaking news and 21 00:01:09,200 --> 00:01:14,360 Speaker 3: more Bond inspired solutions for America. All right, thanks Scott 22 00:01:14,440 --> 00:01:17,440 Speaker 3: chan An Hour two Sean Hannity Show, toll free. It 23 00:01:17,560 --> 00:01:19,360 Speaker 3: is eight hundred and nine four one Sewan. If you 24 00:01:19,400 --> 00:01:22,360 Speaker 3: want to be a part of the program, you know, 25 00:01:22,840 --> 00:01:25,000 Speaker 3: one of the things that has frustrated me for many, 26 00:01:25,040 --> 00:01:29,479 Speaker 3: many years. Is Obamacare got shoved down our throat every 27 00:01:29,520 --> 00:01:33,200 Speaker 3: promise they made, keep your doctor, keep your plan, average 28 00:01:33,200 --> 00:01:36,119 Speaker 3: family saves twenty five hundred dollars a year. Okay, well, 29 00:01:36,280 --> 00:01:40,919 Speaker 3: the verdict is in, and millions and millions of Americans, 30 00:01:40,959 --> 00:01:44,000 Speaker 3: tens of millions of Americans lost their doctors and plans, 31 00:01:44,560 --> 00:01:48,160 Speaker 3: and the average family is paying about three hundred percent 32 00:01:48,240 --> 00:01:51,280 Speaker 3: more than what they were paying. And a full forty 33 00:01:51,320 --> 00:01:56,080 Speaker 3: percent of the country has access to only one Obamacare 34 00:01:56,240 --> 00:02:01,960 Speaker 3: exchange option, non particularly non particularly in We have had 35 00:02:02,160 --> 00:02:05,960 Speaker 3: on this program discussions because this matters to everybody. Healthcare 36 00:02:06,040 --> 00:02:08,280 Speaker 3: matters to everybody. I don't care. Any person I know, 37 00:02:08,360 --> 00:02:11,200 Speaker 3: doesn't matter what their age are, they worry to some 38 00:02:11,520 --> 00:02:14,360 Speaker 3: level about their health. I try not to waste my 39 00:02:14,400 --> 00:02:18,040 Speaker 3: time worrying about anything, but most people are concerned about 40 00:02:18,040 --> 00:02:22,480 Speaker 3: these things. Now there's new innovative ideas when it comes 41 00:02:22,520 --> 00:02:24,880 Speaker 3: to healthcare. Years ago, we talked a lot about a 42 00:02:24,960 --> 00:02:29,799 Speaker 3: Cato Institute book called Patient Power Healthcare Savings Accounts. We've 43 00:02:29,840 --> 00:02:34,200 Speaker 3: had on doctor Josh Umber on this program Atlas MD, Wichita, Kansas, 44 00:02:34,720 --> 00:02:37,880 Speaker 3: and they have a healthcare cooperative. It is now nationwide 45 00:02:38,200 --> 00:02:41,320 Speaker 3: he helped build out thousands of locations around the country. 46 00:02:41,360 --> 00:02:43,800 Speaker 3: Now he has his own atlas MD around the country 47 00:02:44,400 --> 00:02:47,240 Speaker 3: and that allows in the case of Wichita, at the time, 48 00:02:47,800 --> 00:02:52,000 Speaker 3: it was twenty four hour access to any doctor, as 49 00:02:52,080 --> 00:02:55,520 Speaker 3: many visits as you needed. Monthly it was fifty dollars 50 00:02:55,560 --> 00:02:58,120 Speaker 3: a month for an adult, ten dollars a month per child. 51 00:02:58,720 --> 00:03:03,360 Speaker 3: And he would negotiate directly with pharmaceutical companies and in 52 00:03:03,480 --> 00:03:07,280 Speaker 3: most instances you would walk out of the doctor's office with, 53 00:03:07,600 --> 00:03:10,480 Speaker 3: you know, high blood pressure medicine, cholesterol medicine, whatever, whatever 54 00:03:10,520 --> 00:03:12,920 Speaker 3: you might need. He had access to all of it, 55 00:03:13,639 --> 00:03:16,840 Speaker 3: and you were painting about ninety five percent less. And 56 00:03:16,880 --> 00:03:19,600 Speaker 3: these are Telemedicine is now a big deal and is 57 00:03:20,040 --> 00:03:22,520 Speaker 3: definitely going to be the future of medicine. One of 58 00:03:22,560 --> 00:03:26,919 Speaker 3: the things that we learned is that we produce most 59 00:03:26,960 --> 00:03:30,680 Speaker 3: of the new medicines worldwide, but you know, other countries 60 00:03:30,720 --> 00:03:35,160 Speaker 3: would socialized medicine. We're getting far lower prices and people 61 00:03:35,200 --> 00:03:38,680 Speaker 3: in these other countries, even though we created the medication, 62 00:03:39,120 --> 00:03:41,920 Speaker 3: they're getting far lower prices. Until Donald Trump said that's 63 00:03:41,960 --> 00:03:45,200 Speaker 3: got to stop, and he created Most Favored Nation Drug 64 00:03:45,240 --> 00:03:48,320 Speaker 3: pricing in a letter signed by the President. Now in 65 00:03:48,360 --> 00:03:52,520 Speaker 3: the last thirty six hours. They have been huge for 66 00:03:52,600 --> 00:03:55,880 Speaker 3: the issue of healthcare. And I'm going to talk to 67 00:03:55,920 --> 00:03:58,880 Speaker 3: doctor Oz here in a second, because Democrats are demagoguing it. 68 00:03:59,160 --> 00:04:03,640 Speaker 3: They've been saying the one big beautiful bill is cutting 69 00:04:03,680 --> 00:04:06,240 Speaker 3: Medicaid and it's going to hurt old people and people 70 00:04:06,280 --> 00:04:09,320 Speaker 3: are going to die. All of these comments have been made. 71 00:04:09,640 --> 00:04:12,720 Speaker 3: The President hosted a massive gathering sixty of the largest 72 00:04:12,720 --> 00:04:16,160 Speaker 3: health and tech companies pledging to allow Americans to use 73 00:04:16,200 --> 00:04:19,480 Speaker 3: their own health data to stay healthy and get better 74 00:04:19,520 --> 00:04:22,400 Speaker 3: care from their doctors. It's going to save lives. They 75 00:04:22,440 --> 00:04:26,559 Speaker 3: put together a fifty billion dollar Rural Health Transformation Fund 76 00:04:26,560 --> 00:04:29,800 Speaker 3: that Congress is allowing doctor Oz to distribute by the 77 00:04:29,880 --> 00:04:32,920 Speaker 3: end of the year. But it's really better coming from 78 00:04:32,960 --> 00:04:35,960 Speaker 3: the horse's mouth. And doctor memt Oz is with us. 79 00:04:36,440 --> 00:04:40,479 Speaker 3: He is the seventeenth Administrator of the Centers for Medicare 80 00:04:40,600 --> 00:04:46,320 Speaker 3: Medicaid Services and Amy Gleason's Strategic Advisor to Health and 81 00:04:46,400 --> 00:04:51,479 Speaker 3: Human Services CMS and the acting Administrator of the US 82 00:04:51,640 --> 00:04:55,440 Speaker 3: Doze Service. Anyway, welcome both of you back to the program, 83 00:04:55,480 --> 00:04:58,200 Speaker 3: doctor Oz. This has been an innovative week. I've only 84 00:04:58,279 --> 00:05:01,360 Speaker 3: touched on how bad things have been I've only touched 85 00:05:01,360 --> 00:05:04,760 Speaker 3: on how things have been demagogue, and I've only touched 86 00:05:04,800 --> 00:05:09,039 Speaker 3: on how transformational medicine will be in the decades to come. 87 00:05:09,279 --> 00:05:12,600 Speaker 5: Well, you beautifully articulated the crisis, and you never want 88 00:05:12,600 --> 00:05:16,040 Speaker 5: to waste the crisis. We have increased spending on Medicaid 89 00:05:16,200 --> 00:05:19,840 Speaker 5: fifty percent in the last five years. Frankly, COVID broke 90 00:05:19,839 --> 00:05:21,840 Speaker 5: the bank and broke the system. And there are all 91 00:05:21,920 --> 00:05:24,800 Speaker 5: kinds of patchwork solutions that were thrown up by the 92 00:05:24,800 --> 00:05:27,960 Speaker 5: Biden administration, which I can regale you with, but I'd 93 00:05:28,040 --> 00:05:30,359 Speaker 5: rather look forward and speak to how we're going to 94 00:05:30,360 --> 00:05:33,000 Speaker 5: fix the problem. And the last forty eight hours have 95 00:05:33,040 --> 00:05:37,560 Speaker 5: been unique. But Wednesday afternoon, it started with one of 96 00:05:37,560 --> 00:05:39,960 Speaker 5: those magical moments in your life you can ever forget. 97 00:05:40,000 --> 00:05:42,800 Speaker 5: In the White House. The President wanted to host this 98 00:05:42,920 --> 00:05:47,120 Speaker 5: gathering of the sixty top health and technology leaders of 99 00:05:47,160 --> 00:05:50,240 Speaker 5: the country, and he asked them, He pushed them, he 100 00:05:50,279 --> 00:05:53,080 Speaker 5: squeezed them, and said, enough is enough. We have been 101 00:05:53,120 --> 00:05:56,680 Speaker 5: waiting and waiting and waiting. We've waited for information from 102 00:05:56,680 --> 00:05:59,120 Speaker 5: a doctor's office that we own to come to us. 103 00:05:59,279 --> 00:06:01,680 Speaker 5: We waited to make sure it was securely protected so 104 00:06:01,720 --> 00:06:06,400 Speaker 5: wouldn't get stolen by someone foreign country or or a 105 00:06:06,440 --> 00:06:08,359 Speaker 5: local person who was trying to take advantage of you. 106 00:06:08,600 --> 00:06:12,800 Speaker 5: We waited for access to transparency and the bills you 107 00:06:12,839 --> 00:06:15,440 Speaker 5: get from your hospital, from the pharmacy, and they wait 108 00:06:15,560 --> 00:06:17,160 Speaker 5: knows a lot of waiting for Washington, by the way, 109 00:06:17,160 --> 00:06:19,599 Speaker 5: to take action. So the presidents that we're done. Today's 110 00:06:19,640 --> 00:06:22,440 Speaker 5: the day we want you to commit in writing on 111 00:06:22,520 --> 00:06:26,279 Speaker 5: a pledge to address these issues that are so critical 112 00:06:26,320 --> 00:06:28,360 Speaker 5: to the well being of the American people, because we 113 00:06:28,440 --> 00:06:32,240 Speaker 5: have been frozen in time for sixty years, because that's 114 00:06:32,279 --> 00:06:35,960 Speaker 5: sixty years ago this week that Medicare and Medicaid were founded, 115 00:06:36,040 --> 00:06:40,159 Speaker 5: these beautiful backbone elements to the social stafty that of 116 00:06:40,160 --> 00:06:43,480 Speaker 5: our nation. It wasn't a giveaway, it wasn't a handout. 117 00:06:43,520 --> 00:06:45,680 Speaker 5: It was a hand up that would help Americans re 118 00:06:45,839 --> 00:06:48,960 Speaker 5: engage in life if they had issues there because they 119 00:06:48,960 --> 00:06:51,599 Speaker 5: were young, or they disabled, or just had some bad luck. 120 00:06:51,800 --> 00:06:53,600 Speaker 5: Get them back on their feet. Together. That's what great 121 00:06:53,600 --> 00:06:56,840 Speaker 5: people do. They help each other. Great nations protect their 122 00:06:56,880 --> 00:07:01,480 Speaker 5: most vulnerable, but they don't coddle people. They empowered beneficiaries, 123 00:07:01,520 --> 00:07:05,120 Speaker 5: the incentivized providers. And so to do this right, we 124 00:07:05,360 --> 00:07:09,120 Speaker 5: require tech transformation and this smartest person that I have met. 125 00:07:09,120 --> 00:07:11,200 Speaker 5: And I don't know if John, you travel, if you 126 00:07:11,200 --> 00:07:14,280 Speaker 5: have a passport and that you've gotten recently, you will 127 00:07:14,520 --> 00:07:17,400 Speaker 5: actually blush at how easy it has become. The when 128 00:07:17,400 --> 00:07:19,760 Speaker 5: we're going to the post office and all the waiting 129 00:07:19,840 --> 00:07:22,080 Speaker 5: for months and months for your passport to be missing. 130 00:07:22,320 --> 00:07:24,640 Speaker 5: It's literally done online two weeks. The woman who up 131 00:07:24,680 --> 00:07:28,920 Speaker 5: run that create that, Amy Gleeson, who introduced is on 132 00:07:28,960 --> 00:07:31,600 Speaker 5: theline as well, and she was the the state tip 133 00:07:31,640 --> 00:07:34,560 Speaker 5: of the spear on this program the President hosted on Wednesday, 134 00:07:34,880 --> 00:07:36,400 Speaker 5: and I want her to explain how we're going to 135 00:07:36,480 --> 00:07:38,120 Speaker 5: kill the clip for how we're going to help people 136 00:07:38,160 --> 00:07:40,160 Speaker 5: with chronic diseases, and we're going to be able to 137 00:07:40,200 --> 00:07:43,840 Speaker 5: crush fraud, waste and abuse as well by using information 138 00:07:44,040 --> 00:07:46,560 Speaker 5: the way other sectors of the US economy do for 139 00:07:46,600 --> 00:07:49,120 Speaker 5: the first time in healthcare. So Amy, I had it 140 00:07:49,120 --> 00:07:49,360 Speaker 5: to you. 141 00:07:50,160 --> 00:07:52,840 Speaker 3: Amy, I'd love to hear this. This is great news. 142 00:07:53,120 --> 00:07:54,680 Speaker 3: That's high praise from doctor Oz. 143 00:07:55,640 --> 00:07:57,960 Speaker 1: He's an amazing leader. I'm so lucky to work with him. 144 00:07:58,000 --> 00:08:00,280 Speaker 1: Thank you for having me. The STMs is on a 145 00:08:00,280 --> 00:08:04,240 Speaker 1: mission to really modernize healthcare technology. Most other industries have 146 00:08:04,320 --> 00:08:08,200 Speaker 1: already become more efficient and effective using technology that healthcare 147 00:08:08,280 --> 00:08:11,800 Speaker 1: is still relying on fax machines, and doctors really struggled 148 00:08:11,840 --> 00:08:14,560 Speaker 1: to have the information they need to treat their patients. 149 00:08:14,600 --> 00:08:17,240 Speaker 1: And as individuals, every other part of our life has 150 00:08:17,280 --> 00:08:20,240 Speaker 1: been made better by technology. We can order groceries or 151 00:08:20,280 --> 00:08:22,920 Speaker 1: a ride and get results in minutes, but in healthcare, 152 00:08:23,280 --> 00:08:25,240 Speaker 1: we don't have those same kind of tools to keep 153 00:08:25,320 --> 00:08:27,920 Speaker 1: us well. And so this is also a very personal 154 00:08:27,960 --> 00:08:30,240 Speaker 1: story for me. I've dealt with these issues both in 155 00:08:30,280 --> 00:08:33,800 Speaker 1: caring for patients professionally, but I really started to understand 156 00:08:33,880 --> 00:08:36,560 Speaker 1: the challenges once my daughter was diagnosed with a rare 157 00:08:36,559 --> 00:08:39,920 Speaker 1: disease fifteen years ago when she was eleven. She started 158 00:08:39,960 --> 00:08:43,120 Speaker 1: having a bunch of mysterious symptoms. She was seeing all 159 00:08:43,160 --> 00:08:45,800 Speaker 1: the best doctors in the country, but she kept getting worse, 160 00:08:45,840 --> 00:08:48,160 Speaker 1: and she reached the point where she couldn't stand up 161 00:08:48,200 --> 00:08:50,440 Speaker 1: on her own or walk up the stairs. But we 162 00:08:50,480 --> 00:08:52,720 Speaker 1: still didn't have any answers, and I had to carry 163 00:08:52,760 --> 00:08:55,880 Speaker 1: binders of her records to every appointment to try to 164 00:08:55,960 --> 00:08:59,080 Speaker 1: keep those doctors aligned. But I truly believe that if 165 00:08:59,200 --> 00:09:01,400 Speaker 1: just one person I have been able to see her 166 00:09:01,440 --> 00:09:05,080 Speaker 1: whole entire medical record she could have been diagnosed sooner, 167 00:09:05,600 --> 00:09:08,280 Speaker 1: and if we had had today's AI, it could have 168 00:09:08,320 --> 00:09:11,079 Speaker 1: helped connect the dots that people had missed, and so. 169 00:09:11,160 --> 00:09:14,160 Speaker 3: Really well, I mean, that is the thing, you know. 170 00:09:14,240 --> 00:09:17,040 Speaker 3: I was interviewing Gary Brecker, and I know Doctor Oz 171 00:09:17,160 --> 00:09:19,000 Speaker 3: is friendly with him, and he's in the health space, 172 00:09:19,600 --> 00:09:22,160 Speaker 3: and he's a really smart guy. Believes in ten thousand 173 00:09:22,200 --> 00:09:25,920 Speaker 3: steps a day, believes in meditation and breathing exercises. He's 174 00:09:25,960 --> 00:09:28,520 Speaker 3: a big advocate of cold plunge, which, by the way, 175 00:09:28,800 --> 00:09:30,679 Speaker 3: I'm actually installing one of my house. I'm going to 176 00:09:30,720 --> 00:09:32,839 Speaker 3: try it myself. I'm going to try and cut back 177 00:09:32,840 --> 00:09:36,360 Speaker 3: on my nicotine pouches. Although I really like him a lot, 178 00:09:36,360 --> 00:09:38,839 Speaker 3: Doctor Oz. Don't yell at me because I don't want 179 00:09:38,840 --> 00:09:42,960 Speaker 3: to hear it. But he's actually saying that if you 180 00:09:43,000 --> 00:09:45,800 Speaker 3: can survive the next five years, the odds that you 181 00:09:45,840 --> 00:09:49,720 Speaker 3: will live to be one hundred go up exponentially. You 182 00:09:49,840 --> 00:09:50,439 Speaker 3: agree with that. 183 00:09:51,080 --> 00:09:53,000 Speaker 5: I do agree with it. And by the way, I 184 00:09:53,080 --> 00:09:54,640 Speaker 5: offered you my cold plunge to come use it, and 185 00:09:54,640 --> 00:09:56,640 Speaker 5: you won't come. But I'll get to that later. 186 00:09:57,080 --> 00:10:00,280 Speaker 3: But I'm doing it alone first. Gary Breker want to 187 00:10:00,360 --> 00:10:02,000 Speaker 3: do it on TV with them I'm like, I'm not 188 00:10:02,080 --> 00:10:05,360 Speaker 3: doing my first plunge. You know, cold I got a practice. 189 00:10:05,920 --> 00:10:08,959 Speaker 5: You're a bold You'll be fine. But cold plunge is 190 00:10:09,000 --> 00:10:11,120 Speaker 5: a good example. You know, you wouldn't think about it, 191 00:10:11,160 --> 00:10:14,880 Speaker 5: but anytime you stress your body without hurting it, you're 192 00:10:14,880 --> 00:10:17,160 Speaker 5: improving a longevity. So you get into the cold water, 193 00:10:17,200 --> 00:10:18,960 Speaker 5: your body things, oh my gosh, this is terrible. I'm 194 00:10:19,000 --> 00:10:21,120 Speaker 5: gonna make adaptive changes to who I am or what 195 00:10:21,200 --> 00:10:25,079 Speaker 5: I do, and that actually stimulates all kinds of mechanisms 196 00:10:25,120 --> 00:10:27,440 Speaker 5: in yourselves. But you're actually not in danger because youre 197 00:10:27,440 --> 00:10:28,800 Speaker 5: getting get out of the cold plunge. You're not going 198 00:10:28,840 --> 00:10:31,679 Speaker 5: to die in the cold water. The same for running, exercising, 199 00:10:31,720 --> 00:10:34,800 Speaker 5: how you eat, intermittent fasting. But what Amy speaking to 200 00:10:35,480 --> 00:10:39,599 Speaker 5: is so big because imagine Sean, based on your medical records, 201 00:10:39,960 --> 00:10:42,439 Speaker 5: what you actually know about yourself is now known by 202 00:10:42,440 --> 00:10:44,800 Speaker 5: the doctor that's taking care of you. But you allow 203 00:10:45,080 --> 00:10:48,680 Speaker 5: any builtness, You allow that information to be shared with 204 00:10:48,760 --> 00:10:51,160 Speaker 5: companies that garys who are trying to help you. Now 205 00:10:51,200 --> 00:10:53,600 Speaker 5: he messages you, hey, Sean, you're supposed to not eat 206 00:10:53,600 --> 00:10:56,480 Speaker 5: breakfast till eleven, or you're supposed to go walking or 207 00:10:56,640 --> 00:10:59,480 Speaker 5: do the cold plunge at ten based on your energy 208 00:10:59,559 --> 00:11:03,040 Speaker 5: and your metabolism and your medical records and guess what 209 00:11:03,320 --> 00:11:06,560 Speaker 5: be your doctor's pretend you're trusting that capacity also as 210 00:11:06,640 --> 00:11:08,360 Speaker 5: access to that so I can say, Sean, you missed 211 00:11:08,360 --> 00:11:10,560 Speaker 5: your appointment, or you didn't pick up your meds or 212 00:11:10,679 --> 00:11:13,560 Speaker 5: and that's how we take people from being sick to healthy. 213 00:11:13,600 --> 00:11:17,760 Speaker 5: What Amy did was to take her daughter's potential tragedy, 214 00:11:17,800 --> 00:11:20,160 Speaker 5: her daughter's beautiful and doing while shoes at the bet 215 00:11:20,200 --> 00:11:24,280 Speaker 5: with the President on Wednesday, and allow that to catalyze 216 00:11:24,280 --> 00:11:28,040 Speaker 5: our nation to do things we should have done years ago. 217 00:11:28,200 --> 00:11:30,000 Speaker 5: I mean, why would you walk into a doctor's office 218 00:11:30,000 --> 00:11:32,360 Speaker 5: and write your name and your address and insures just 219 00:11:32,480 --> 00:11:34,760 Speaker 5: as qr CO look at getting on an airplane. It's 220 00:11:34,760 --> 00:11:36,040 Speaker 5: perfectly doable, Amy, Am. 221 00:11:35,960 --> 00:11:38,600 Speaker 1: I right, Yes, that's what we're really wanting to see 222 00:11:38,600 --> 00:11:41,000 Speaker 1: in about six months time, where when Morgan goes to 223 00:11:41,080 --> 00:11:43,760 Speaker 1: the doctor next, she can just pull out her phone 224 00:11:43,800 --> 00:11:47,080 Speaker 1: and scan her tap to share her medical record right away, 225 00:11:47,559 --> 00:11:49,920 Speaker 1: and it can be done with our digital insurance card 226 00:11:50,080 --> 00:11:52,480 Speaker 1: and a summary that could help the provider get up 227 00:11:52,480 --> 00:11:55,520 Speaker 1: to speed. That's much better and more efficient for everyone 228 00:11:55,559 --> 00:11:58,960 Speaker 1: than writing down all of her medications. And our entire history. 229 00:11:59,120 --> 00:12:01,520 Speaker 1: So we're really excited for that. And then we're also 230 00:12:01,559 --> 00:12:04,120 Speaker 1: thinking after the visit, she can have an app that 231 00:12:04,280 --> 00:12:06,840 Speaker 1: has an AI assistant that can help her really understand 232 00:12:06,840 --> 00:12:09,560 Speaker 1: what happened it's a visit, what the test results mean, 233 00:12:09,920 --> 00:12:12,160 Speaker 1: what she should watch out for next, and help her 234 00:12:12,240 --> 00:12:14,920 Speaker 1: understand her care plan and help her schedule follow up 235 00:12:14,920 --> 00:12:15,520 Speaker 1: when she needs it. 236 00:12:15,679 --> 00:12:18,720 Speaker 3: All right, quick freak, Welcome back, More with Amy Gleeson, 237 00:12:18,800 --> 00:12:20,600 Speaker 3: More with doctor Oz on the other side. Then we'll 238 00:12:20,600 --> 00:12:22,880 Speaker 3: get to your calls coming up this Friday, eight hundred 239 00:12:22,880 --> 00:12:24,839 Speaker 3: and nine, four one sean, if you want to be 240 00:12:24,880 --> 00:12:27,560 Speaker 3: a part of the program. All right, we continue now 241 00:12:27,640 --> 00:12:30,240 Speaker 3: Doctor Oz is with us as well as Amy Gleeson 242 00:12:30,720 --> 00:12:34,360 Speaker 3: as we discuss healthcare in America. There's been a transformational week, 243 00:12:34,440 --> 00:12:36,920 Speaker 3: and in that regard, you need to know because everyone 244 00:12:36,960 --> 00:12:38,719 Speaker 3: cares about their health or you have a relative that 245 00:12:39,320 --> 00:12:42,800 Speaker 3: needs healthcare, there are a lot of big changes coming. 246 00:12:42,800 --> 00:12:46,000 Speaker 3: They're all positive and they're all innovative. Doctor Oz, can 247 00:12:46,360 --> 00:12:49,120 Speaker 3: you go into some detail in terms of why this 248 00:12:49,240 --> 00:12:55,079 Speaker 3: was so transformational this week? Why did the big lie? 249 00:12:55,120 --> 00:12:58,800 Speaker 3: People cannot believe the lies they're being told regularly because 250 00:12:58,800 --> 00:13:02,760 Speaker 3: it's being done for political purposes and what transformations can 251 00:13:02,840 --> 00:13:06,240 Speaker 3: people expect in the near term and the long term. 252 00:13:06,360 --> 00:13:11,000 Speaker 5: It is I believe reprehensible that you would dishonestly con 253 00:13:11,120 --> 00:13:13,959 Speaker 5: people to thinking they're being hurt when we are pulling 254 00:13:14,000 --> 00:13:17,440 Speaker 5: out all the stops to help Americans feel as healthy 255 00:13:17,440 --> 00:13:19,440 Speaker 5: and as vital as they should have all along what 256 00:13:19,559 --> 00:13:22,560 Speaker 5: the President has done, and yet he embraced this digital 257 00:13:22,600 --> 00:13:25,760 Speaker 5: transformation that Amy has been launching because he appreciates how 258 00:13:25,800 --> 00:13:28,000 Speaker 5: big of an impact is they have just just with fraud, 259 00:13:28,040 --> 00:13:31,720 Speaker 5: waste and abuse and cutting back administrative costs. It's one 260 00:13:31,800 --> 00:13:34,560 Speaker 5: hundred billion dollars to our nation what Amy's putting together. 261 00:13:34,960 --> 00:13:38,400 Speaker 5: Let's talk about most favoridation pricing, which he released yesterday morning, 262 00:13:38,840 --> 00:13:41,920 Speaker 5: and it was a incredibly bold move where he says, guys, 263 00:13:42,520 --> 00:13:45,360 Speaker 5: we are done with global freeloading. We're not going to 264 00:13:45,400 --> 00:13:47,800 Speaker 5: let the American people put the bill to do all 265 00:13:47,840 --> 00:13:49,880 Speaker 5: the resource and development we pay them for more than 266 00:13:49,920 --> 00:13:52,040 Speaker 5: half in the world, and pay the price of the 267 00:13:52,120 --> 00:13:54,800 Speaker 5: drug that's three times more for the same product and 268 00:13:54,800 --> 00:13:57,320 Speaker 5: the same box we had in the same factory. I mean, 269 00:13:57,360 --> 00:13:59,959 Speaker 5: you've heard him to talk about this. He gets appropriately upset. 270 00:14:00,520 --> 00:14:02,800 Speaker 5: So if he's going to take the bold move in 271 00:14:02,880 --> 00:14:06,840 Speaker 5: his presidency of pushing people to convene. The power to 272 00:14:06,840 --> 00:14:10,240 Speaker 5: convene is important and he's using it. He sent us 273 00:14:10,280 --> 00:14:12,880 Speaker 5: out to battle the essay with that letter. He wants 274 00:14:12,920 --> 00:14:15,640 Speaker 5: every drug company to be honest about this. How much 275 00:14:15,679 --> 00:14:18,679 Speaker 5: are you making in America versus let's say Europe. Why 276 00:14:18,720 --> 00:14:21,200 Speaker 5: aren't the Europeans paying more? Can I get the US 277 00:14:21,280 --> 00:14:25,640 Speaker 5: Trade Representative? Can I get the Commerce Department under said Kaylett? 278 00:14:25,640 --> 00:14:27,440 Speaker 5: And they can We get all these folks working together, 279 00:14:27,440 --> 00:14:30,160 Speaker 5: and Bobby Kennedy, of course, the superstar, pushing for this 280 00:14:30,240 --> 00:14:32,360 Speaker 5: to be done in a mahawai. So we're helping people 281 00:14:32,400 --> 00:14:34,800 Speaker 5: get healthy. One of the ways you get healthy is 282 00:14:34,840 --> 00:14:37,360 Speaker 5: by taking medications if they're appropriate, and if you can't 283 00:14:37,400 --> 00:14:40,920 Speaker 5: afford them, or you have to choose between groceries and pills, 284 00:14:41,200 --> 00:14:43,400 Speaker 5: you're going to be in trouble number one cause the 285 00:14:43,400 --> 00:14:45,960 Speaker 5: bankruptcy in America, our health issues and the bills that 286 00:14:46,000 --> 00:14:48,800 Speaker 5: go along with it. So Amy's building a system so 287 00:14:48,920 --> 00:14:51,520 Speaker 5: you'll know everything that's happening in your life, including the 288 00:14:51,560 --> 00:14:53,520 Speaker 5: building desert they are coming your way, and what it 289 00:14:53,520 --> 00:14:57,720 Speaker 5: costs to get insurance and fixing the broken Obromacare model 290 00:14:57,920 --> 00:15:02,000 Speaker 5: and making Medicaid work better. The right persons appropriately get 291 00:15:02,000 --> 00:15:05,080 Speaker 5: these services, but the wrong person can't just freeload over 292 00:15:05,200 --> 00:15:08,080 Speaker 5: everybody else. The President does not get credit for this, 293 00:15:08,200 --> 00:15:11,120 Speaker 5: and he should. These are brave moves. People don't like 294 00:15:11,160 --> 00:15:12,960 Speaker 5: when you get in their way and take your money away. 295 00:15:13,160 --> 00:15:15,960 Speaker 5: There's probably one hundred and fifty people who control medicine 296 00:15:16,120 --> 00:15:18,400 Speaker 5: and they're making good money. When the President comes in 297 00:15:18,440 --> 00:15:21,160 Speaker 5: and says it's not right for the American people, I'm 298 00:15:21,200 --> 00:15:22,960 Speaker 5: taking this back from you. I'm put it over here 299 00:15:22,960 --> 00:15:24,960 Speaker 5: where they really need it. Guess who writes about that. 300 00:15:25,320 --> 00:15:27,320 Speaker 5: Folks who don't like you, and they make up stories, 301 00:15:27,560 --> 00:15:29,160 Speaker 5: and we live this day in and day out. I 302 00:15:29,160 --> 00:15:30,640 Speaker 5: don't know how he does it, because, as you know, 303 00:15:30,720 --> 00:15:35,720 Speaker 5: he's working tirelessly and bravely in pursuit of protecting America 304 00:15:35,760 --> 00:15:39,680 Speaker 5: and these initiatives. The last thirty six forty eight hours. Unbelievably, 305 00:15:39,720 --> 00:15:41,880 Speaker 5: we will look back on these last few days and 306 00:15:42,280 --> 00:15:44,960 Speaker 5: realize that was when it all began to switch back, 307 00:15:45,160 --> 00:15:47,320 Speaker 5: because there's no way you can lie about things this good. 308 00:15:47,640 --> 00:15:49,600 Speaker 3: Wow, Amy, we'll give you the last word. We got 309 00:15:49,600 --> 00:15:50,840 Speaker 3: about thirty five seconds. 310 00:15:51,280 --> 00:15:54,240 Speaker 1: Thank you. I think these companies that were amazing to 311 00:15:54,320 --> 00:15:57,320 Speaker 1: come and voluntarily agree to work together, even against the 312 00:15:57,440 --> 00:16:00,480 Speaker 1: direct competitors. Is a really big movement. You can see 313 00:16:00,520 --> 00:16:02,960 Speaker 1: from doctor Oza's leadership that we've really been able to 314 00:16:03,000 --> 00:16:05,920 Speaker 1: get these companies to work together. It's really important to 315 00:16:05,920 --> 00:16:09,000 Speaker 1: help both patients and doctors have better experience. Thank you 316 00:16:09,040 --> 00:16:10,200 Speaker 1: so much for having me today. 317 00:16:10,520 --> 00:16:14,400 Speaker 3: I love the idea of having everybody's healthcare on your 318 00:16:14,400 --> 00:16:18,800 Speaker 3: own phone and wherever you are, anytime anything happens, the 319 00:16:18,960 --> 00:16:20,960 Speaker 3: entire record is right there, and that could be so 320 00:16:21,080 --> 00:16:24,720 Speaker 3: helpful to saving lives and helping doctors do their job 321 00:16:24,760 --> 00:16:27,920 Speaker 3: a lot quicker amy. Thank you, Doctor Ross, Thank you, 322 00:16:27,960 --> 00:16:30,800 Speaker 3: we appreciate it. Keep up the great work. Everybody cares 323 00:16:30,840 --> 00:16:33,480 Speaker 3: about their health. I've always said that I think that 324 00:16:33,760 --> 00:16:38,280 Speaker 3: you know two liberal comics late night people that kind 325 00:16:38,280 --> 00:16:41,280 Speaker 3: of stand out from you know, the hack Jimmy Kimmel 326 00:16:41,320 --> 00:16:45,000 Speaker 3: and the hack Stephen Colbert and I don't know. I 327 00:16:45,520 --> 00:16:48,080 Speaker 3: don't hate Jimmy Fallon as much. I think he's just 328 00:16:48,120 --> 00:16:51,040 Speaker 3: not funny. He just doesn't do it for me. I 329 00:16:51,080 --> 00:16:54,680 Speaker 3: do like biting commentary, like I love Chris Rock, I 330 00:16:54,720 --> 00:16:57,000 Speaker 3: love I don't know who else do I love? I 331 00:16:57,040 --> 00:17:00,440 Speaker 3: love a lot of people. I love Chappelle, Linda, you 332 00:17:00,480 --> 00:17:03,600 Speaker 3: have your list of people you like, correct, I do? Okay, so, 333 00:17:03,840 --> 00:17:06,920 Speaker 3: but I like Stuart Stuart only I like. I hate 334 00:17:06,920 --> 00:17:09,400 Speaker 3: his commentary, I hate his politics. Same with Bill Maher. 335 00:17:09,920 --> 00:17:13,480 Speaker 3: You it's a fair characterization. I think it's fairly accurate 336 00:17:13,520 --> 00:17:15,679 Speaker 3: to say both of them pretty much hate me. Is 337 00:17:15,680 --> 00:17:18,440 Speaker 3: that a fair You would? You would? You would believe that, right? 338 00:17:19,119 --> 00:17:21,520 Speaker 8: I don't think that John Stewart hates you. I actually 339 00:17:21,560 --> 00:17:24,639 Speaker 8: think that John Stuart is an ideologue. 340 00:17:24,720 --> 00:17:25,640 Speaker 3: He and you guys. 341 00:17:25,400 --> 00:17:28,680 Speaker 8: Actually have a lot of crossover. He just leans more 342 00:17:28,720 --> 00:17:30,600 Speaker 8: to the left, you more to the right. But on 343 00:17:30,720 --> 00:17:32,520 Speaker 8: nine to eleven in issues like that, I think you'd 344 00:17:32,520 --> 00:17:33,600 Speaker 8: probably meet in the middle. 345 00:17:34,000 --> 00:17:36,560 Speaker 3: Actually, I don't really think that we do agree on 346 00:17:37,040 --> 00:17:40,320 Speaker 3: nine to eleven related illnesses. I know we're here. What 347 00:17:40,320 --> 00:17:44,000 Speaker 3: I mean is there are there? There's definitely crossover. And 348 00:17:45,200 --> 00:17:48,720 Speaker 3: but the one thing that stands out, and even when 349 00:17:48,840 --> 00:17:51,639 Speaker 3: both of them have either attacked or made fun of me, 350 00:17:52,119 --> 00:17:56,040 Speaker 3: I can laugh because it's funny. Now Stuart rolled out 351 00:17:56,119 --> 00:18:00,840 Speaker 3: with a mocking impersonation of Jay Leno and and you know, 352 00:18:01,119 --> 00:18:04,040 Speaker 3: after a day watching Fox News and being bathed in 353 00:18:04,080 --> 00:18:07,440 Speaker 3: their very purposeful propaganda. He's talking about Greg Gutfeld. That's 354 00:18:07,440 --> 00:18:09,240 Speaker 3: a great way to top off your night. But it's 355 00:18:09,280 --> 00:18:12,679 Speaker 3: not the Jade Leno like you know, and then you 356 00:18:12,760 --> 00:18:16,480 Speaker 3: understand why you want to offend your audience. The problem 357 00:18:16,600 --> 00:18:19,680 Speaker 3: is these guys don't have any humor in them. They're 358 00:18:19,680 --> 00:18:24,199 Speaker 3: not funny. They have lost massive amounts of audience. You know. 359 00:18:24,280 --> 00:18:27,119 Speaker 3: He says, Wow, the whole thing is eving ridiculous, and 360 00:18:27,200 --> 00:18:29,639 Speaker 3: it is. If you look at social media profiles, all 361 00:18:29,640 --> 00:18:31,880 Speaker 3: the people that complain in the left wing bias, they're 362 00:18:31,920 --> 00:18:34,680 Speaker 3: all right wing influencers. They all make their money their 363 00:18:34,800 --> 00:18:38,760 Speaker 3: entire economy. Here's the question that he's not addressing though 364 00:18:38,760 --> 00:18:42,720 Speaker 3: in his comments, because he's he's making its them is like, well, 365 00:18:42,880 --> 00:18:46,919 Speaker 3: Fox has this ecosystem and then Greg Gutfeld comes on 366 00:18:47,000 --> 00:18:51,240 Speaker 3: and he's funny and and but he's he's ideologically funny, 367 00:18:51,320 --> 00:18:54,120 Speaker 3: and but that does not then why doesn't it work 368 00:18:54,160 --> 00:18:57,640 Speaker 3: on the left? Because you know, the one thing that 369 00:18:57,720 --> 00:19:02,200 Speaker 3: Fox has that they will never acknowledge is that we 370 00:19:02,320 --> 00:19:06,080 Speaker 3: tell people way more truth than you're ever gonna get 371 00:19:06,119 --> 00:19:10,680 Speaker 3: from fake news CNN or the lies and pedal conspiracy 372 00:19:10,760 --> 00:19:13,760 Speaker 3: theories of MSDNC that often get echoed in the New 373 00:19:13,840 --> 00:19:18,040 Speaker 3: York Times and Washington Post Russia Russia rushes. But one example. 374 00:19:19,080 --> 00:19:21,800 Speaker 3: I can give you other examples, the rush to judgment 375 00:19:22,160 --> 00:19:25,240 Speaker 3: in the Richard Jewel case. I could get a valuation 376 00:19:25,320 --> 00:19:27,840 Speaker 3: of Mara a Lago, the thirty one Trump though or 377 00:19:27,920 --> 00:19:31,239 Speaker 3: thirty four trumped up charges, you know, based on a 378 00:19:31,320 --> 00:19:34,480 Speaker 3: novel legal theory on what was a misdemeanor in New 379 00:19:34,560 --> 00:19:38,440 Speaker 3: York a legal non disclosure agreement, you know, that became 380 00:19:38,480 --> 00:19:42,359 Speaker 3: a conviction. But then Canada Trump, they don't see. Not 381 00:19:42,560 --> 00:19:44,840 Speaker 3: one of them ever said no, mar A Lago's not 382 00:19:44,880 --> 00:19:48,159 Speaker 3: worth eighteen million dollars. Not one of them ever said no, 383 00:19:48,720 --> 00:19:51,520 Speaker 3: this would be a misdemeanor in the statute of limitations 384 00:19:51,520 --> 00:19:54,240 Speaker 3: of runout. And even though I don't like Donald Trump, 385 00:19:54,480 --> 00:19:57,120 Speaker 3: the law should apply equally to him. Or the fact 386 00:19:57,160 --> 00:20:00,159 Speaker 3: that people rush to judgment, hands up, don't shoot. All 387 00:20:00,200 --> 00:20:03,400 Speaker 3: these networks, they all rushed to judgment. I had sources 388 00:20:03,440 --> 00:20:08,840 Speaker 3: on the ground telling me sean, multiple eyewitnesses will come out, 389 00:20:09,119 --> 00:20:12,120 Speaker 3: many of them African American, which in that case kind 390 00:20:12,119 --> 00:20:14,840 Speaker 3: of mattered because of Michael Brown. Hands up, don't shoot. 391 00:20:15,160 --> 00:20:18,960 Speaker 3: Darren Wilson, the officer happened to be white and it 392 00:20:19,119 --> 00:20:21,679 Speaker 3: was a racial component to the case, and they said, no, 393 00:20:21,800 --> 00:20:26,960 Speaker 3: multiple African American witnesses will corroborate Darren Wilson's story. And 394 00:20:27,080 --> 00:20:28,960 Speaker 3: in the case of Duke Lacrosse, oh, there a bunch 395 00:20:28,960 --> 00:20:34,560 Speaker 3: of rich white kids, and this is outrageous. And I 396 00:20:34,640 --> 00:20:36,760 Speaker 3: went to meet with the families. I met some of 397 00:20:36,800 --> 00:20:41,040 Speaker 3: these kids. I knew they had exculpatory evidence coming out. 398 00:20:41,520 --> 00:20:44,359 Speaker 3: I knew there was an eyewitness in the Zimmerman case 399 00:20:44,840 --> 00:20:48,920 Speaker 3: down in Florida, because I went down there, and I 400 00:20:49,720 --> 00:20:53,560 Speaker 3: knew that that testimony would come an eyewitness that would say, no, 401 00:20:53,880 --> 00:20:56,320 Speaker 3: it was Trayvon Martin that was doing the ground and 402 00:20:56,440 --> 00:21:00,239 Speaker 3: pound of on George Zimmerman. It was him screaming, it 403 00:21:00,280 --> 00:21:03,919 Speaker 3: was his head being pounded into the cement. So and 404 00:21:04,040 --> 00:21:06,120 Speaker 3: the same thing with Richard Jewel. I used this example 405 00:21:06,119 --> 00:21:09,119 Speaker 3: all the time. But here's what Stewart said about my 406 00:21:09,320 --> 00:21:12,240 Speaker 3: friend and colleague Greg gutfeld. 407 00:21:12,040 --> 00:21:16,159 Speaker 7: The idea that by having what may be a more 408 00:21:16,240 --> 00:21:19,160 Speaker 7: left leaning or progressive bent, or just bringing in that's 409 00:21:19,200 --> 00:21:22,080 Speaker 7: how Fox is popular, That's how any of these people, 410 00:21:22,520 --> 00:21:24,479 Speaker 7: you know, they all talk about gutfeldts the most popular 411 00:21:24,560 --> 00:21:27,960 Speaker 7: yet he's not popular because he's a both sides guy. 412 00:21:28,040 --> 00:21:30,960 Speaker 7: He's not you know, a fair use like you know, 413 00:21:31,000 --> 00:21:34,840 Speaker 7: the fairness doctrine says like he's relentless, and you know, 414 00:21:34,960 --> 00:21:38,440 Speaker 7: after a day of watching Fox News and being bathed 415 00:21:38,520 --> 00:21:43,720 Speaker 7: in their very purposeful propaganda, it's a great way to 416 00:21:43,720 --> 00:21:45,280 Speaker 7: top off the night. 417 00:21:45,760 --> 00:21:48,600 Speaker 3: Well, why isn't it working for fake news CNN? Why 418 00:21:48,680 --> 00:21:54,320 Speaker 3: isn't it working for ABC, NBC and CBS. Why isn't 419 00:21:54,359 --> 00:21:58,160 Speaker 3: it working for MSDNC. Why is The New York Times now, 420 00:21:58,800 --> 00:22:01,119 Speaker 3: you know, flailing? You know, how do they get so 421 00:22:01,240 --> 00:22:04,920 Speaker 3: many stories wrong so often? And I don't think he's 422 00:22:04,960 --> 00:22:08,879 Speaker 3: answering that question. Now, why is he more successful? And 423 00:22:08,920 --> 00:22:12,159 Speaker 3: why is Bill mar more successful? And the answer to 424 00:22:12,240 --> 00:22:15,879 Speaker 3: me is they're funnier and probably I would assume in 425 00:22:15,920 --> 00:22:18,960 Speaker 3: both cases their shows make money. Now, if John Stewart's 426 00:22:18,960 --> 00:22:22,760 Speaker 3: going to continue to go after the new owners of CBS, 427 00:22:22,800 --> 00:22:26,080 Speaker 3: which is I guess Paramounts Guy Dan's a partnership that 428 00:22:26,119 --> 00:22:28,000 Speaker 3: they put together, I'm not sure what the final name 429 00:22:28,040 --> 00:22:30,600 Speaker 3: of the company's going to be. I would imagine he's 430 00:22:30,640 --> 00:22:34,400 Speaker 3: probably putting his job in jeopardy. And like Stephen Colbert 431 00:22:34,520 --> 00:22:36,240 Speaker 3: may want to go out of martyr. I don't know. 432 00:22:36,760 --> 00:22:39,200 Speaker 3: I really don't. By the way, did you see the 433 00:22:39,480 --> 00:22:42,399 Speaker 3: call for Stuart to run for president? Did you see that? 434 00:22:42,800 --> 00:22:46,960 Speaker 3: I did not see that. Yeah, I mean talk about 435 00:22:47,000 --> 00:22:52,879 Speaker 3: a copycat yeah no, no, no, no, no, no, no, no, no no. 436 00:22:53,640 --> 00:22:59,720 Speaker 3: This is a manufactured executive producer thing. This has nothing 437 00:22:59,720 --> 00:23:00,960 Speaker 3: to do with Sean Hanny is. 438 00:23:00,960 --> 00:23:03,960 Speaker 8: The total hogwash. I do not control the American people. 439 00:23:04,000 --> 00:23:06,320 Speaker 8: I do not tell people to call in. I do 440 00:23:06,400 --> 00:23:09,080 Speaker 8: not write things on social media that have anything to 441 00:23:09,080 --> 00:23:11,800 Speaker 8: do with this. People are free to write what they want, 442 00:23:11,840 --> 00:23:14,040 Speaker 8: and I am free to notice and make you aware. 443 00:23:14,119 --> 00:23:16,760 Speaker 3: And that's all that happened, all right. Charlotmaine, the god 444 00:23:16,880 --> 00:23:21,199 Speaker 3: said the Democrats sucks so bad, and apparently he wants 445 00:23:21,400 --> 00:23:22,440 Speaker 3: Jon Stewart to run. 446 00:23:22,520 --> 00:23:25,800 Speaker 4: I would John Stewart run in twenty if we're talking 447 00:23:25,840 --> 00:23:27,880 Speaker 4: about like a change agent coming from the outside that's 448 00:23:27,920 --> 00:23:30,159 Speaker 4: really going to shape things up, and somebody that I 449 00:23:30,200 --> 00:23:32,800 Speaker 4: feel I can speak to, you know, all people. Plus 450 00:23:32,800 --> 00:23:37,040 Speaker 4: we actually he's a celebrity who actually knows what they're 451 00:23:37,040 --> 00:23:40,080 Speaker 4: talking about. We've seen him get legislation and stuff you know, 452 00:23:40,240 --> 00:23:43,440 Speaker 4: passed before, Like we know where his heart is. He'd 453 00:23:43,480 --> 00:23:46,160 Speaker 4: be somebody i'd like to see really getting the race 454 00:23:46,240 --> 00:23:49,280 Speaker 4: and disrupt things in two thousand and twenty eight, Well, 455 00:23:49,320 --> 00:23:51,679 Speaker 4: maybe maybe a John Stewart cob A ticket because you know, 456 00:23:52,359 --> 00:23:54,119 Speaker 4: Cobert's not going to have a job. He's not working 457 00:23:54,280 --> 00:23:56,520 Speaker 4: because because of President Trump. 458 00:23:56,600 --> 00:23:59,640 Speaker 3: So they say that would guarantee that that ticket would 459 00:23:59,640 --> 00:24:02,520 Speaker 3: lose if you put a cold bear on it. Let's 460 00:24:02,560 --> 00:24:06,160 Speaker 3: go to Genie in the great state of Texas. God 461 00:24:06,200 --> 00:24:09,520 Speaker 3: bless Texas. Genie. How are you happy Friday? Glad you called? 462 00:24:09,760 --> 00:24:12,840 Speaker 6: Thank you for Happy Friday to you too. I basically 463 00:24:12,920 --> 00:24:15,760 Speaker 6: am coming in because I started listening to you a 464 00:24:15,760 --> 00:24:19,280 Speaker 6: while back, probably in my late thirties early thirties, and 465 00:24:19,520 --> 00:24:22,320 Speaker 6: prior to that, I've never voted because I didn't not 466 00:24:22,560 --> 00:24:25,359 Speaker 6: did not know enough about politics, never trusted anybody on 467 00:24:25,440 --> 00:24:28,119 Speaker 6: air to follow along with them until I ran across 468 00:24:28,160 --> 00:24:29,120 Speaker 6: she so. 469 00:24:29,720 --> 00:24:33,000 Speaker 3: Uh, well, I'm very first of all, thanks for having 470 00:24:33,040 --> 00:24:35,600 Speaker 3: an open mind. I mean, there are people that make 471 00:24:35,680 --> 00:24:39,320 Speaker 3: judgments about me all the time, and most of the 472 00:24:39,400 --> 00:24:41,800 Speaker 3: people that will either comment or make judgments about me 473 00:24:41,840 --> 00:24:44,800 Speaker 3: don't listen and don't watch me. But I tried. I 474 00:24:44,880 --> 00:24:47,920 Speaker 3: try to give news and information that you won't get elsewhere. 475 00:24:48,840 --> 00:24:50,239 Speaker 3: So I appreciate it. Thank you. 476 00:24:50,480 --> 00:24:52,560 Speaker 6: That's what I feel. I feel like that you're very honest. 477 00:24:52,600 --> 00:24:55,400 Speaker 6: I don't think that you'd cover up. I don't think 478 00:24:55,440 --> 00:25:00,199 Speaker 6: that you're what's the word I'm looking for, bias. So 479 00:25:00,760 --> 00:25:03,280 Speaker 6: I want to thank you because I started voting after 480 00:25:03,320 --> 00:25:06,160 Speaker 6: I started listening to you. And if I have questions 481 00:25:06,200 --> 00:25:09,800 Speaker 6: about politics, I come to your and watch you on 482 00:25:09,840 --> 00:25:11,440 Speaker 6: Fox News and I pay attention and then I start 483 00:25:11,440 --> 00:25:13,439 Speaker 6: doing my own research. But you're the reason why I 484 00:25:13,440 --> 00:25:16,359 Speaker 6: started voting. And I will say this, with all the 485 00:25:16,400 --> 00:25:18,680 Speaker 6: corruption and stuff that I have learned from watching you 486 00:25:19,160 --> 00:25:22,240 Speaker 6: and Fox News and other stations, I never voted for 487 00:25:22,280 --> 00:25:24,879 Speaker 6: whether it was a Democrat or a Republican because I 488 00:25:25,280 --> 00:25:27,320 Speaker 6: was not one of them. I voted for who I 489 00:25:27,400 --> 00:25:30,280 Speaker 6: thought was best for overall, not just for me, but 490 00:25:30,359 --> 00:25:33,920 Speaker 6: for the overall nation. But now I'll never vote for 491 00:25:33,960 --> 00:25:34,720 Speaker 6: another Democrat. 492 00:25:35,600 --> 00:25:38,920 Speaker 3: Not this party of Democrats. I'll tell you that. I mean, 493 00:25:39,280 --> 00:25:42,560 Speaker 3: they've gotten absolutely crazy. Well, I'm very grateful for you. 494 00:25:42,840 --> 00:25:45,280 Speaker 3: Thanks for being out there, thanks for having an open mind. 495 00:25:45,440 --> 00:25:49,399 Speaker 3: You are what has makes what makes America great. All right, 496 00:25:49,480 --> 00:25:51,520 Speaker 3: quick break right back. We'll continue more of your calls 497 00:25:51,560 --> 00:25:53,920 Speaker 3: coming up this Friday. Eight hundred and ninety four to one, 498 00:25:53,960 --> 00:25:55,520 Speaker 3: sewn our number if you want to be a part 499 00:25:55,520 --> 00:25:58,200 Speaker 3: of the program, and what's on your mind this Friday 500 00:25:58,200 --> 00:25:59,920 Speaker 3: will continue great ahead. 501 00:26:05,000 --> 00:26:08,399 Speaker 5: The final hour of The Sean Hannity Show was up next. 502 00:26:08,480 --> 00:26:25,800 Speaker 3: Hang on for Sean's conservative solutions on all right, let's 503 00:26:25,800 --> 00:26:28,320 Speaker 3: get back to our busy phones. Our toll free number 504 00:26:28,520 --> 00:26:30,919 Speaker 3: is eight hundred ninety four one Sean, if you want 505 00:26:30,960 --> 00:26:34,359 Speaker 3: to be a part of the program, Linda. One of 506 00:26:34,400 --> 00:26:38,399 Speaker 3: the main criticisms that this show gets, or my TV 507 00:26:38,520 --> 00:26:43,000 Speaker 3: show gets, and it's warranted. And I do it purposely. 508 00:26:43,800 --> 00:26:46,959 Speaker 3: And I've explained this before in different ways. But I 509 00:26:47,000 --> 00:26:51,639 Speaker 3: have another example. Do you remember during COVID you were 510 00:26:51,680 --> 00:26:54,320 Speaker 3: you were getting annoyed with me? And why were you 511 00:26:54,320 --> 00:26:56,600 Speaker 3: getting annoyed with me? Because I kept mentioning, if you 512 00:26:56,680 --> 00:27:03,320 Speaker 3: get a positive test, ask your doctor about what boniclonal antibodies? Okay, 513 00:27:03,640 --> 00:27:06,200 Speaker 3: And you said, you say it four times a day. 514 00:27:06,600 --> 00:27:10,160 Speaker 3: You've been saying it for months. Stop shut up. We've 515 00:27:10,200 --> 00:27:13,760 Speaker 3: heard you enough already. And I said, the problem is 516 00:27:14,080 --> 00:27:17,760 Speaker 3: if I only say something once or twice, or five times, 517 00:27:17,840 --> 00:27:21,960 Speaker 3: or even ten times, most people are not going to 518 00:27:22,200 --> 00:27:26,399 Speaker 3: recall this. They don't immerse themselves in this world that 519 00:27:26,440 --> 00:27:29,840 Speaker 3: we live in every day, which is news, news, news, 520 00:27:30,320 --> 00:27:33,439 Speaker 3: So you have to repeat yourself a lot to get 521 00:27:33,480 --> 00:27:36,399 Speaker 3: a narrative going. I do it every election year, and 522 00:27:36,480 --> 00:27:39,399 Speaker 3: I do it by design and on purpose, and for 523 00:27:39,520 --> 00:27:45,520 Speaker 3: regular listeners it may at times get annoying. But the 524 00:27:45,560 --> 00:27:49,760 Speaker 3: goal and the hope is is that over time, you know, 525 00:27:49,880 --> 00:27:53,359 Speaker 3: if I start in January, by June or July, people 526 00:27:53,359 --> 00:27:55,280 Speaker 3: are going to be able to talk to their friends 527 00:27:55,280 --> 00:27:59,280 Speaker 3: and neighbors and co workers and relatives, and they're going 528 00:27:59,359 --> 00:28:04,320 Speaker 3: to be a an educated, well informed voter that can 529 00:28:04,359 --> 00:28:07,800 Speaker 3: counter any argument that can be made. Right. Does that 530 00:28:07,840 --> 00:28:09,120 Speaker 3: make sense to you in theory? 531 00:28:09,440 --> 00:28:10,000 Speaker 1: Yeah? 532 00:28:10,359 --> 00:28:13,399 Speaker 3: Okay, Now, when after you criticized me, I said, well, 533 00:28:13,480 --> 00:28:16,199 Speaker 3: let's do a test. And I went from caller to 534 00:28:16,280 --> 00:28:18,120 Speaker 3: call her, to call her, to call to call her. 535 00:28:18,440 --> 00:28:21,520 Speaker 3: What does Sean tell you to do if you get 536 00:28:21,520 --> 00:28:24,920 Speaker 3: a positive test? What should you ask your doctor for 537 00:28:25,119 --> 00:28:29,800 Speaker 3: COVID during the time? And and how many callers got it? 538 00:28:29,920 --> 00:28:34,400 Speaker 3: Right after you were complaining that I said it too much. No, 539 00:28:35,080 --> 00:28:38,640 Speaker 3: that caller said it begins with an M. No, he 540 00:28:38,720 --> 00:28:42,480 Speaker 3: said mana. He said mona, mana, mona, mana. 541 00:28:43,000 --> 00:28:46,080 Speaker 8: Close I'm gonna take it if I take it as 542 00:28:46,080 --> 00:28:46,640 Speaker 8: a half a win. 543 00:28:47,360 --> 00:28:49,680 Speaker 3: He said, all right, I'll give you a mono. But 544 00:28:49,720 --> 00:28:51,920 Speaker 3: that's about as close as he got. I remember m 545 00:28:51,960 --> 00:28:54,520 Speaker 3: but that's fine. Let's not split hairs here. But most 546 00:28:54,520 --> 00:28:56,960 Speaker 3: people didn't. And that was kind of surprising to you, 547 00:28:57,040 --> 00:29:00,560 Speaker 3: if I recall at the time, right, yeah, Okay, how 548 00:29:00,560 --> 00:29:06,000 Speaker 3: many times have I said on this radio program Hillary 549 00:29:06,080 --> 00:29:11,320 Speaker 3: Clinton's bought and paid for Russian disinformation, dirty dossier? With 550 00:29:11,440 --> 00:29:14,960 Speaker 3: this story, how much more understandable do you think it 551 00:29:15,120 --> 00:29:18,520 Speaker 3: might be for busy people that are doing great things 552 00:29:18,560 --> 00:29:23,600 Speaker 3: for our country because stupid, dumb, all repetitive Sean Hannity 553 00:29:23,640 --> 00:29:24,920 Speaker 3: said it over and over again. 554 00:29:25,640 --> 00:29:29,880 Speaker 8: I mean, I think that particular topic unfortunately, no matter 555 00:29:29,920 --> 00:29:32,520 Speaker 8: how many times you're drive it in, people just know 556 00:29:32,600 --> 00:29:34,680 Speaker 8: that nothing's ever gonna happen, so they don't commit it 557 00:29:34,720 --> 00:29:35,280 Speaker 8: to memory. 558 00:29:35,560 --> 00:29:37,960 Speaker 3: I'm not as pessimistic as you, but I am not 559 00:29:38,680 --> 00:29:40,080 Speaker 3: overly optimistic either. 560 00:29:40,440 --> 00:29:42,560 Speaker 8: I think the only person is going to go down, 561 00:29:42,680 --> 00:29:43,960 Speaker 8: and I think it's a toss up. And I was 562 00:29:43,960 --> 00:29:45,640 Speaker 8: talking to Greg Jared about this the other day. 563 00:29:47,120 --> 00:29:51,080 Speaker 3: Course up, give you my. 564 00:29:51,000 --> 00:29:54,680 Speaker 8: Prediction, and then we got a break clapper or go ahead? 565 00:29:54,720 --> 00:29:58,120 Speaker 3: I'm gonna I'm guessing who You're gonna pick Clapper and 566 00:29:58,760 --> 00:30:01,800 Speaker 3: I'm sorry Brandan and Clapper or Brennan and call me 567 00:30:02,320 --> 00:30:02,560 Speaker 3: or all. 568 00:30:02,800 --> 00:30:05,680 Speaker 8: So I think I think it's Clapper is a flip 569 00:30:05,760 --> 00:30:06,960 Speaker 8: and Brennan is a sink. 570 00:30:07,560 --> 00:30:10,480 Speaker 3: What about collmy? I think Komy's going to skate. 571 00:30:10,600 --> 00:30:12,320 Speaker 8: He's got too much dirt on too many people. 572 00:30:12,480 --> 00:30:13,200 Speaker 6: So does his kid? 573 00:30:13,800 --> 00:30:17,480 Speaker 3: I don't know. Does it make sense? Is this the 574 00:30:17,600 --> 00:30:21,360 Speaker 3: right approach? Because I know that people will never get 575 00:30:21,360 --> 00:30:25,440 Speaker 3: this information. Most people would never know about the Russia. 576 00:30:25,440 --> 00:30:27,600 Speaker 3: I think it's a valiant effort. 577 00:30:27,920 --> 00:30:30,480 Speaker 8: I just think that when people know that the government 578 00:30:30,600 --> 00:30:33,400 Speaker 8: will never and can never arrest them, just like we'll 579 00:30:33,400 --> 00:30:35,400 Speaker 8: never get all the Epstein stuff because there's too many 580 00:30:35,440 --> 00:30:38,240 Speaker 8: people in too many places that are high up that. 581 00:30:38,200 --> 00:30:40,200 Speaker 3: We're ever going to get the truth. I am more 582 00:30:40,280 --> 00:30:44,200 Speaker 3: confident than you, but I refuse to overpromise and under deliver. 583 00:30:45,080 --> 00:30:45,360 Speaker 5: I am. 584 00:30:46,160 --> 00:30:50,160 Speaker 3: I do believe over time that stuff is going to happen. 585 00:30:50,840 --> 00:30:54,360 Speaker 3: I am hopeful, but I am not raising expectations because 586 00:30:54,360 --> 00:30:57,560 Speaker 3: that would be wrong anyway. Good idea. So there's a 587 00:30:57,560 --> 00:30:59,880 Speaker 3: method to my madness, you know. But during an election, 588 00:31:00,240 --> 00:31:02,080 Speaker 3: I'm going to make sure every single person on this 589 00:31:02,200 --> 00:31:05,440 Speaker 3: show has Sean Hannity's list of why they shouldn't vote 590 00:31:05,480 --> 00:31:07,640 Speaker 3: for a Democrat, why they should vote for a Republican. 591 00:31:07,840 --> 00:31:10,320 Speaker 3: I'm just that's just the way I roll. And anyway 592 00:31:10,320 --> 00:31:12,120 Speaker 3: I saw a criticism, I'm like, all right, this is 593 00:31:12,120 --> 00:31:14,400 Speaker 3: a valid criticism, It's true, and I just want to 594 00:31:14,440 --> 00:31:16,760 Speaker 3: address that head on. That is a true statement. We 595 00:31:16,880 --> 00:31:19,560 Speaker 3: have to repeat ourselves because the media doesn't do their job. 596 00:31:19,720 --> 00:31:22,400 Speaker 3: They lie, and they pedal conspiracies, and they by the way, 597 00:31:22,440 --> 00:31:23,560 Speaker 3: they repeat their lies.