1 00:00:00,160 --> 00:00:03,760 Speaker 1: Welcome back in Klay Travis buck Sexton Show. Appreciate all 2 00:00:03,800 --> 00:00:06,040 Speaker 1: of you hanging out with us. We are rolling through 3 00:00:06,080 --> 00:00:08,879 Speaker 1: the Thursday edition of the program. Encourage you to go 4 00:00:08,960 --> 00:00:13,720 Speaker 1: subscribe to the podcast. You can also find us on YouTube, 5 00:00:13,760 --> 00:00:17,320 Speaker 1: as we are rapidly approaching one hundred thousand subscribers there, 6 00:00:17,360 --> 00:00:20,000 Speaker 1: and hopefully in the near future we'll be able to 7 00:00:20,000 --> 00:00:24,360 Speaker 1: put all three hours of the program up on YouTube 8 00:00:24,360 --> 00:00:26,960 Speaker 1: as well, so all of you can consume as much 9 00:00:27,000 --> 00:00:29,800 Speaker 1: of this as you would like, not only on video 10 00:00:29,880 --> 00:00:33,680 Speaker 1: but audio as well. Ninety seven thousand subscribers. By the way, 11 00:00:33,760 --> 00:00:36,360 Speaker 1: knock us over one hundred if you would. We are 12 00:00:36,479 --> 00:00:40,600 Speaker 1: joined now by doctor Oz, who does a fabulous job 13 00:00:40,720 --> 00:00:45,560 Speaker 1: inside of the Trump administration, working on so many different 14 00:00:45,680 --> 00:00:49,159 Speaker 1: issues out there. He is the administrator of the Centers 15 00:00:49,159 --> 00:00:52,840 Speaker 1: for Medicare and Medicaid Services and working to make health 16 00:00:52,920 --> 00:00:57,880 Speaker 1: technology great again. There's a lot going on when it 17 00:00:57,960 --> 00:01:03,840 Speaker 1: comes to the cost of health care, for sure, doctor Oz, 18 00:01:03,840 --> 00:01:07,360 Speaker 1: you've been dealing with it for your entire life. Are 19 00:01:07,360 --> 00:01:10,280 Speaker 1: you optimistic about changes that you guys are going to 20 00:01:10,319 --> 00:01:14,000 Speaker 1: be able to implement inside of the Trump administration? Part 21 00:01:14,040 --> 00:01:16,679 Speaker 1: one and Part two? What should we expect to see. 22 00:01:16,720 --> 00:01:18,680 Speaker 1: Thanks for coming on with us. 23 00:01:19,000 --> 00:01:23,280 Speaker 2: God bless you. I am optimistic, as a doctor often 24 00:01:23,319 --> 00:01:25,240 Speaker 2: has to. There's some bad news. I should get out 25 00:01:25,240 --> 00:01:27,160 Speaker 2: of the way first, and then we've moved to the growth. 26 00:01:27,160 --> 00:01:29,560 Speaker 2: But we are spending twice as much per capita as 27 00:01:29,600 --> 00:01:32,479 Speaker 2: any other country in the planet on our people left 28 00:01:32,560 --> 00:01:37,080 Speaker 2: expectancy despite that investment is now five years shorter than Europe. 29 00:01:37,640 --> 00:01:39,600 Speaker 2: We're sicker. It's one of the reasons that we don't 30 00:01:39,640 --> 00:01:41,479 Speaker 2: live as long and that we do have to pay 31 00:01:41,520 --> 00:01:43,839 Speaker 2: more because of our chronic illness. This is why the 32 00:01:43,920 --> 00:01:47,520 Speaker 2: MAHA movement has gained such traction, because moms know that 33 00:01:47,600 --> 00:01:50,080 Speaker 2: it's gotten really hard to be healthy in America. But 34 00:01:50,280 --> 00:01:53,880 Speaker 2: the good news is that ninety percent of all the expenses, 35 00:01:53,960 --> 00:01:56,440 Speaker 2: nine percent of all the problems that I think we're 36 00:01:56,480 --> 00:01:59,919 Speaker 2: facing both paying for health care but also being healthy, 37 00:02:00,280 --> 00:02:03,280 Speaker 2: is around chronic disease, which we have some control over, 38 00:02:03,400 --> 00:02:06,080 Speaker 2: and mental illness. They work together, and I could say 39 00:02:06,080 --> 00:02:09,120 Speaker 2: the number one driver of a hall this is probably loneliness, 40 00:02:09,360 --> 00:02:11,560 Speaker 2: because if you're by yourself, there's no one to crutch on. 41 00:02:11,720 --> 00:02:14,040 Speaker 2: We are social creatures, you know. Good part of our 42 00:02:14,080 --> 00:02:16,760 Speaker 2: brain powers reading the face and listening to the voice 43 00:02:16,800 --> 00:02:19,560 Speaker 2: of people around us, and people right now making sense 44 00:02:19,600 --> 00:02:21,600 Speaker 2: to play what you're saying just because they can hear 45 00:02:21,680 --> 00:02:24,760 Speaker 2: subtle little intonations in your tone, So that all becomes 46 00:02:24,840 --> 00:02:27,440 Speaker 2: hugely valuable. And when you lose that, you tend to 47 00:02:27,480 --> 00:02:29,840 Speaker 2: become adamized, separate from everybody else. So part of the 48 00:02:29,960 --> 00:02:33,280 Speaker 2: challenge in the Trump administration, and President's very very clear 49 00:02:33,320 --> 00:02:36,040 Speaker 2: on this, is break the silos down, break down the barriers, 50 00:02:36,280 --> 00:02:38,960 Speaker 2: and then use the power to convene. And by that 51 00:02:39,000 --> 00:02:42,240 Speaker 2: he means, you know, allow people to know that you're serious, 52 00:02:42,320 --> 00:02:44,240 Speaker 2: that you have a stick you'll use if you have to, 53 00:02:44,800 --> 00:02:46,799 Speaker 2: but you'd rather use carrots to get them to work 54 00:02:46,840 --> 00:02:50,079 Speaker 2: together on their own voluntarily. And that's what happened yesterday 55 00:02:50,080 --> 00:02:52,799 Speaker 2: at the White House. President hosted a wonderful event. It 56 00:02:52,919 --> 00:02:55,200 Speaker 2: was a sixtieth anniversary by the way of the Forum 57 00:02:55,240 --> 00:02:58,320 Speaker 2: Foundation of Medicare and Medicaid, the agencies that I run, 58 00:02:59,040 --> 00:03:03,560 Speaker 2: and the President had sixty of the biggest technology companies, 59 00:03:03,600 --> 00:03:07,360 Speaker 2: the healthcare companies in America pledge promise they're going to 60 00:03:07,400 --> 00:03:10,400 Speaker 2: do business differently. They're going to give the American people 61 00:03:10,639 --> 00:03:13,720 Speaker 2: their medical records back. You own them, they're yours, You 62 00:03:13,840 --> 00:03:16,280 Speaker 2: paid for them. You got the care that you needed, 63 00:03:16,320 --> 00:03:18,880 Speaker 2: and there's information about that you should have access to. 64 00:03:19,360 --> 00:03:22,560 Speaker 2: And so we are getting all these companies together, and 65 00:03:22,800 --> 00:03:25,799 Speaker 2: together are going to make possible use it on your phone, 66 00:03:26,240 --> 00:03:28,959 Speaker 2: the ability to get information and advice about your wellbeing, 67 00:03:29,720 --> 00:03:33,000 Speaker 2: to get your doctor bill to message you directly that 68 00:03:33,040 --> 00:03:35,040 Speaker 2: may in fact make doctor's appointments, which is hard for 69 00:03:35,080 --> 00:03:38,200 Speaker 2: a lot of Americans, and get the whole process to 70 00:03:38,280 --> 00:03:40,839 Speaker 2: move forward in the twenty first century, like so many 71 00:03:40,920 --> 00:03:43,600 Speaker 2: other sectors of the American economy have with great productivity 72 00:03:43,600 --> 00:03:45,520 Speaker 2: and success. 73 00:03:45,280 --> 00:03:48,200 Speaker 3: Doctor Oz. One of the things you're hearing a lot 74 00:03:48,320 --> 00:03:50,640 Speaker 3: out there, or we're hearing a lot out there. I'm 75 00:03:50,640 --> 00:03:53,400 Speaker 3: sure you do too from people who are critical of 76 00:03:53,480 --> 00:03:57,360 Speaker 3: Trump well on everything, but particularly of the Big Beautiful 77 00:03:57,360 --> 00:04:00,800 Speaker 3: Bill has to do with throwing millions of people off 78 00:04:00,840 --> 00:04:03,440 Speaker 3: of Medicaid. We are told, right this is the talking 79 00:04:03,480 --> 00:04:06,360 Speaker 3: point from the Democrats. Can you just break down what 80 00:04:06,400 --> 00:04:10,360 Speaker 3: did the Big Beautiful Bill do with respect to Medicaid 81 00:04:10,640 --> 00:04:12,600 Speaker 3: and health care funding so that everyone can hear it 82 00:04:12,640 --> 00:04:15,520 Speaker 3: from somebody who's living with these spreadsheets right in front 83 00:04:15,520 --> 00:04:15,920 Speaker 3: of him. 84 00:04:17,440 --> 00:04:21,400 Speaker 2: The one big beautiful bill saved Medicaid, this beautiful program 85 00:04:21,720 --> 00:04:27,040 Speaker 2: that was described by Hubert Humphrey as fulfilling our moral 86 00:04:27,080 --> 00:04:29,880 Speaker 2: and government obligation to take care of those at the 87 00:04:29,960 --> 00:04:32,760 Speaker 2: dawn of life, the children, those at the toilet of life, 88 00:04:32,920 --> 00:04:35,600 Speaker 2: the seniors, and those living in the shadows. Think about 89 00:04:35,600 --> 00:04:39,080 Speaker 2: that metaphor, that's who was designed for. Back then, it 90 00:04:39,200 --> 00:04:41,720 Speaker 2: never crossed anybody's mind that you would let an able 91 00:04:41,760 --> 00:04:44,760 Speaker 2: bodied person live forever on Medicaid without having to at 92 00:04:44,800 --> 00:04:48,960 Speaker 2: least tried to participate in the community. And every Democratic president, 93 00:04:49,080 --> 00:04:52,279 Speaker 2: every Republican president, has said, the foundation of a social 94 00:04:52,279 --> 00:04:54,960 Speaker 2: staatey net is work. You're not supposed to just give 95 00:04:55,000 --> 00:04:57,720 Speaker 2: people money and insurance. You're supposed to say, here, this 96 00:04:57,800 --> 00:04:59,520 Speaker 2: is something for you to get you back on your 97 00:04:59,520 --> 00:05:02,040 Speaker 2: feet again, so that together we can roll the oars 98 00:05:02,040 --> 00:05:04,560 Speaker 2: and get society to be productive and get America to thrive. 99 00:05:04,960 --> 00:05:07,560 Speaker 2: And that's what this bill did. It creates a work requirement. 100 00:05:07,920 --> 00:05:11,120 Speaker 2: President Clinton in the nineties with Well for Reform, did 101 00:05:11,120 --> 00:05:13,599 Speaker 2: this and it worked beautifully. Edwin applause. It is a 102 00:05:13,640 --> 00:05:17,160 Speaker 2: huge success story. This time the president, our President Trump 103 00:05:17,200 --> 00:05:20,440 Speaker 2: does that. Everyone criticizes the village wrong. This was an 104 00:05:20,480 --> 00:05:23,480 Speaker 2: opportunity to give the American people who are trapped in 105 00:05:23,560 --> 00:05:27,599 Speaker 2: medicaid and the belief that they matter, that they have 106 00:05:27,760 --> 00:05:31,400 Speaker 2: autonomy on their life, they have agency. Give them a 107 00:05:31,520 --> 00:05:34,280 Speaker 2: chance to get a job, to volunteer, to get educated, 108 00:05:34,279 --> 00:05:37,400 Speaker 2: to participate as God gave them the right to do. 109 00:05:37,600 --> 00:05:39,840 Speaker 2: We're all put on this plan to do something. And 110 00:05:39,880 --> 00:05:41,719 Speaker 2: if you're going to watch six point one hours of 111 00:05:41,760 --> 00:05:44,120 Speaker 2: television a day or just hang out, which is what's 112 00:05:44,640 --> 00:05:47,440 Speaker 2: that's the number, by the way, for people who are able, 113 00:05:47,480 --> 00:05:50,240 Speaker 2: body on medicaid or aren't working, that's not a life. 114 00:05:50,600 --> 00:05:52,719 Speaker 2: That's not what you're here for. And so I think 115 00:05:52,720 --> 00:05:57,120 Speaker 2: this will be judged very and wisely as a wonderful 116 00:05:57,160 --> 00:05:59,440 Speaker 2: contribution to getting America back on the street again. We 117 00:05:59,520 --> 00:06:02,320 Speaker 2: got twice any jobs in this country, people willing to 118 00:06:02,360 --> 00:06:05,000 Speaker 2: do them. Let's help people connect with the workforce. This 119 00:06:05,200 --> 00:06:07,039 Speaker 2: makes that easy, doctor Oz. 120 00:06:07,120 --> 00:06:09,640 Speaker 1: I think one of the things that's incredibly frustrating to 121 00:06:09,680 --> 00:06:12,240 Speaker 1: so many people out there who spend so much money 122 00:06:12,279 --> 00:06:15,640 Speaker 1: on their healthcare is we pay way more and we 123 00:06:15,680 --> 00:06:18,599 Speaker 1: don't get the results that would suggest we should get 124 00:06:18,640 --> 00:06:20,800 Speaker 1: based on what we're paying. In other words, when you 125 00:06:20,839 --> 00:06:25,680 Speaker 1: look at life expectancy, our numbers are not great. Why 126 00:06:25,720 --> 00:06:29,800 Speaker 1: are we getting gouged and other wealthy countries. I understand 127 00:06:29,839 --> 00:06:32,240 Speaker 1: why they don't charge as much in countries where people 128 00:06:32,320 --> 00:06:37,600 Speaker 1: are vastly inferior in wealth. But Europe pays, for instance, 129 00:06:37,760 --> 00:06:40,520 Speaker 1: way less than we do for many of the same drugs. 130 00:06:40,520 --> 00:06:44,159 Speaker 1: Certainly Canada and Mexico, people go across the border to 131 00:06:44,200 --> 00:06:46,760 Speaker 1: buy the same drugs for a fraction of the cost. 132 00:06:47,200 --> 00:06:48,760 Speaker 1: I think that's one of the things that gets people 133 00:06:48,800 --> 00:06:50,600 Speaker 1: the most fired up. I know you saw it when 134 00:06:50,640 --> 00:06:53,480 Speaker 1: you ran for Senate. I'm sure you still hear it now. 135 00:06:54,839 --> 00:06:55,039 Speaker 4: Well. 136 00:06:55,320 --> 00:06:58,400 Speaker 2: As always, what makes you so successful is your timely questions. 137 00:06:58,680 --> 00:07:02,600 Speaker 2: Within the hour, the White House announced a most Favored 138 00:07:02,680 --> 00:07:07,480 Speaker 2: Nation prescription price, a letter from the President going out 139 00:07:07,480 --> 00:07:10,760 Speaker 2: to all the major companies addressing exactly what you just described, 140 00:07:11,080 --> 00:07:14,920 Speaker 2: the gouging of the American people, and the original executive 141 00:07:15,040 --> 00:07:17,560 Speaker 2: order that some may remember for a few months ago 142 00:07:17,960 --> 00:07:21,240 Speaker 2: asked that this global freeloading stop. So here's what the 143 00:07:21,280 --> 00:07:23,920 Speaker 2: President is saying to all the manufacturers, and it's our 144 00:07:23,960 --> 00:07:26,040 Speaker 2: job to go out there and now negotiate these prices. 145 00:07:26,200 --> 00:07:28,679 Speaker 2: But he's saying, from now on, we don't want brand 146 00:07:28,720 --> 00:07:32,040 Speaker 2: prices in American costing three times the exact same product 147 00:07:32,040 --> 00:07:34,400 Speaker 2: in the same box, made the same factory as it 148 00:07:34,440 --> 00:07:38,280 Speaker 2: costs in Europe. And the metaphor for me is the 149 00:07:38,360 --> 00:07:41,480 Speaker 2: NATO deal. So with NATO, there's an external threat, the 150 00:07:41,520 --> 00:07:44,080 Speaker 2: President said. Because it's an external threat, we all have 151 00:07:44,120 --> 00:07:45,760 Speaker 2: to chip in. But we don't pay the whole bill 152 00:07:45,760 --> 00:07:48,280 Speaker 2: in America. You guys have to chip into. That happened, 153 00:07:48,280 --> 00:07:50,000 Speaker 2: as you know, with the exception of one country. All 154 00:07:50,000 --> 00:07:53,200 Speaker 2: the European countries now are paying their fair share, he argues, 155 00:07:53,240 --> 00:07:56,200 Speaker 2: as an internal threat as well illness. Why is it 156 00:07:56,240 --> 00:07:58,320 Speaker 2: that America futs the bill for one hundred and thirty 157 00:07:58,320 --> 00:08:01,760 Speaker 2: billion dollars of research and develop in pharmaceutical products, and 158 00:08:01,800 --> 00:08:04,040 Speaker 2: then on top of that doing all the homework, we 159 00:08:04,080 --> 00:08:06,520 Speaker 2: get the drugs out, then we pay most of the 160 00:08:06,920 --> 00:08:09,360 Speaker 2: of the money that makes farmer profits. Seventy percent of 161 00:08:09,400 --> 00:08:12,160 Speaker 2: farmer profits are made in this country. This is not 162 00:08:12,240 --> 00:08:15,800 Speaker 2: the right thing for the American people. Pharmaceutical industry knows that, 163 00:08:16,000 --> 00:08:18,160 Speaker 2: they know this is coming, and the letter just went 164 00:08:18,200 --> 00:08:22,400 Speaker 2: out literally being mailed as we speak. And our belief 165 00:08:23,120 --> 00:08:25,440 Speaker 2: is that within several years we can get most drugs, 166 00:08:25,440 --> 00:08:28,360 Speaker 2: the vast majority of these drugs to be most favored 167 00:08:28,400 --> 00:08:31,520 Speaker 2: nation pricing. It's going to be a huge asset to 168 00:08:31,560 --> 00:08:34,640 Speaker 2: the American people, to governors trying to balance their state budgets, 169 00:08:35,120 --> 00:08:37,640 Speaker 2: but it's also the right thing to do. It shows 170 00:08:37,640 --> 00:08:41,160 Speaker 2: that America will carry its the right load, but don't 171 00:08:41,200 --> 00:08:42,959 Speaker 2: put it on us to cure all the cancer in 172 00:08:43,000 --> 00:08:45,120 Speaker 2: the world. Chip in help us out a little bit, 173 00:08:45,360 --> 00:08:47,000 Speaker 2: just like with NATO, will do the same thing with 174 00:08:47,080 --> 00:08:47,959 Speaker 2: this most favored nation. 175 00:08:48,280 --> 00:08:52,640 Speaker 3: Prescription drug pricing, doctor Oz, how do you foresee technology? 176 00:08:52,800 --> 00:08:57,840 Speaker 3: We're in this age of rapidly advancing capabilities with AI 177 00:08:58,200 --> 00:09:02,440 Speaker 3: and robotics and all whole range of tools that are 178 00:09:02,520 --> 00:09:07,360 Speaker 3: already doing pretty marvelous things or showing marvelous possibility. How 179 00:09:07,440 --> 00:09:10,960 Speaker 3: is technology going to be leveraged under this Trump administration, 180 00:09:11,000 --> 00:09:13,560 Speaker 3: which obviously you're a part of it, on the health side, 181 00:09:13,800 --> 00:09:17,760 Speaker 3: to improve Americans health, to find cures to get us healthier. 182 00:09:20,480 --> 00:09:22,880 Speaker 2: The American people have been waiting too long. We've been 183 00:09:22,880 --> 00:09:25,480 Speaker 2: waiting for you to get the right information in the 184 00:09:25,600 --> 00:09:28,160 Speaker 2: doctor's office days and days, and it should have been 185 00:09:28,160 --> 00:09:31,280 Speaker 2: immediately delivered. We've waited for the surprise bills from hospitals, 186 00:09:31,280 --> 00:09:33,559 Speaker 2: to wait for access to our medical directors just to 187 00:09:33,600 --> 00:09:36,040 Speaker 2: see stuff that we paid for. And we've been waiting 188 00:09:36,040 --> 00:09:39,040 Speaker 2: for Washington to take action. The commitments that the President 189 00:09:39,120 --> 00:09:42,400 Speaker 2: made yesterday with all these companies pledging puts an end 190 00:09:42,440 --> 00:09:45,120 Speaker 2: to this waiting. Technology is going to allow us to 191 00:09:45,200 --> 00:09:47,120 Speaker 2: message you when you want to hear it about things 192 00:09:47,160 --> 00:09:49,240 Speaker 2: going on in your life. It's going to allow doctors 193 00:09:49,240 --> 00:09:50,559 Speaker 2: to look at you in the eyes and talk to 194 00:09:50,600 --> 00:09:51,960 Speaker 2: you as that are having you a chart the whole 195 00:09:52,000 --> 00:09:54,360 Speaker 2: time because they got a code so they can and 196 00:09:54,400 --> 00:09:57,520 Speaker 2: bill for the encounter. It's going to make it much 197 00:09:57,559 --> 00:10:01,040 Speaker 2: easier for us to fast track things like prior authorization 198 00:10:01,120 --> 00:10:03,240 Speaker 2: where you're trying to see if an insurance company's going 199 00:10:03,280 --> 00:10:05,520 Speaker 2: to pay for something you thought you paid for. All 200 00:10:05,559 --> 00:10:08,400 Speaker 2: that's going to become automated much faster. But the real 201 00:10:08,480 --> 00:10:11,480 Speaker 2: benefit here, and this is a critical point, is we're 202 00:10:11,480 --> 00:10:13,480 Speaker 2: going to be able to cut the fraud, waste, and 203 00:10:13,520 --> 00:10:16,920 Speaker 2: abuse out of the system that's destroying it maybe one 204 00:10:16,960 --> 00:10:20,280 Speaker 2: hundred billion dollars of administrative costs unnecessarily. You may have 205 00:10:20,320 --> 00:10:22,400 Speaker 2: read last month we with a Department of Justice, we 206 00:10:22,440 --> 00:10:26,240 Speaker 2: announced the fifty billion dollar takedown. Because we're at one 207 00:10:26,280 --> 00:10:28,920 Speaker 2: point eight trillion dollar entity, we're double the size of 208 00:10:28,960 --> 00:10:32,000 Speaker 2: the defense budget, and in order to get into our walls. 209 00:10:32,240 --> 00:10:35,200 Speaker 2: There are security walls. You can use the numbers that 210 00:10:35,280 --> 00:10:40,040 Speaker 2: all Medicare beneficiaries have there their their membership number, and 211 00:10:40,080 --> 00:10:44,120 Speaker 2: so foreign companies and countries. Literally the fifteen billion was 212 00:10:44,120 --> 00:10:48,160 Speaker 2: a multinational criminal organization that's believed, I believe is based 213 00:10:48,160 --> 00:10:51,240 Speaker 2: in Russia. I mean, these are massive operations trying to 214 00:10:51,280 --> 00:10:53,880 Speaker 2: take us down. Technology is going to allow us to 215 00:10:53,920 --> 00:10:57,400 Speaker 2: protect ourselves. But at its very core, the goal is 216 00:10:57,400 --> 00:10:59,120 Speaker 2: not just to keep people alive. It is to get 217 00:10:59,160 --> 00:11:01,840 Speaker 2: them be vital, to get them to flourish. The value 218 00:11:02,000 --> 00:11:05,440 Speaker 2: of an American who's healthy enough to work is much 219 00:11:05,520 --> 00:11:07,840 Speaker 2: much greater than what it costs to treat them. But 220 00:11:07,920 --> 00:11:11,559 Speaker 2: we have to actually get at those wonderful folks who 221 00:11:11,559 --> 00:11:14,720 Speaker 2: are making mistakes about their lifestyle in a timely fashion. 222 00:11:15,040 --> 00:11:18,720 Speaker 2: And technology, especially AI will let us talk to people 223 00:11:18,920 --> 00:11:21,960 Speaker 2: in ways that we couldn't have before, to literally baby 224 00:11:22,000 --> 00:11:24,080 Speaker 2: sit them through a process that they may be going 225 00:11:24,120 --> 00:11:27,040 Speaker 2: through which a doctor just won't do on their own 226 00:11:27,080 --> 00:11:28,840 Speaker 2: is just they don't have the time. And it also 227 00:11:28,880 --> 00:11:30,880 Speaker 2: allows us to get the rural America which has been 228 00:11:30,960 --> 00:11:34,199 Speaker 2: left behind, and that that part of the country thrive. 229 00:11:34,240 --> 00:11:38,000 Speaker 2: You should not have folks falling behind every American ought 230 00:11:38,040 --> 00:11:40,080 Speaker 2: to be cared for with the dignity to deserve. It 231 00:11:40,080 --> 00:11:41,480 Speaker 2: doesn't matter what justif go direct. 232 00:11:42,640 --> 00:11:44,240 Speaker 1: Doctor Oz appreciate you being. 233 00:11:44,080 --> 00:11:47,040 Speaker 2: With us, sir, God bless you, my friends, stay well. 234 00:11:48,800 --> 00:11:49,559 Speaker 1: When you switch your. 235 00:11:49,480 --> 00:11:51,800 Speaker 3: Cell phone service over to pure Talk, you're saving money 236 00:11:51,840 --> 00:11:55,200 Speaker 3: every month while not sacrificing any quality of service. 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Compare that 244 00:12:16,520 --> 00:12:18,720 Speaker 3: to your current monthly cell phone bill and calculate the 245 00:12:18,760 --> 00:12:21,280 Speaker 3: savings You could save six hundred dollars or more every 246 00:12:21,360 --> 00:12:23,960 Speaker 3: year with a family plan, could be more than one 247 00:12:23,960 --> 00:12:27,240 Speaker 3: thousand dollars a year. With Puretalk's customer service team, you 248 00:12:27,280 --> 00:12:30,040 Speaker 3: can switch hassle free in as little as ten minutes. 249 00:12:30,320 --> 00:12:32,520 Speaker 3: You keep your phone and your number, so nothing changes 250 00:12:32,559 --> 00:12:35,520 Speaker 3: except the reduced size of that phone. Using your cell 251 00:12:35,559 --> 00:12:39,360 Speaker 3: phone dial pound two fifty and say the keywords Clay 252 00:12:39,400 --> 00:12:42,360 Speaker 3: and Buck to make the switch. That's pound two five zero, 253 00:12:42,559 --> 00:12:46,960 Speaker 3: say Clay and Buck to start saving today, puretalk Wireless, 254 00:12:46,960 --> 00:12:50,520 Speaker 3: buy Americans for Americans, news. 255 00:12:50,160 --> 00:12:53,320 Speaker 2: And politics, but also a little comic relief. 256 00:12:53,400 --> 00:12:56,960 Speaker 1: Clay Travis at Buck Sexton. Find them on the free 257 00:12:57,000 --> 00:13:00,400 Speaker 1: iHeartRadio app or wherever you get your podcasts. 258 00:13:00,480 --> 00:13:03,000 Speaker 3: All right, welcome back in to Clay in Buck. Come 259 00:13:03,080 --> 00:13:05,040 Speaker 3: up here a few seconds, a few minutes rather not 260 00:13:05,040 --> 00:13:07,439 Speaker 3: a few seconds. We'll talk to the Commission of the 261 00:13:07,480 --> 00:13:10,720 Speaker 3: Federal Trade Commission about what they're doing to protect all 262 00:13:10,880 --> 00:13:14,240 Speaker 3: of you. A lot of scams out there, friends, a 263 00:13:14,280 --> 00:13:18,640 Speaker 3: lot of sketchy stuff, and FTC has a mandate to 264 00:13:19,880 --> 00:13:23,880 Speaker 3: bring the scammers to justice or at least to shut 265 00:13:23,920 --> 00:13:26,959 Speaker 3: them down. So we'll talk to her about that, among 266 00:13:27,000 --> 00:13:30,199 Speaker 3: other things. FTC maybe up to and we've got some 267 00:13:30,240 --> 00:13:34,160 Speaker 3: great talkbacks coming in. Let's say, okay, we'll start with 268 00:13:34,200 --> 00:13:37,040 Speaker 3: this one because I know we got Madeline. This is 269 00:13:37,120 --> 00:13:39,600 Speaker 3: JJ Madeline from Harrisburg, PA. 270 00:13:39,640 --> 00:13:42,600 Speaker 5: Play it, hi, guys, there's something I wanted to share 271 00:13:42,600 --> 00:13:45,079 Speaker 5: with you since booms are back in the news. We 272 00:13:45,080 --> 00:13:47,000 Speaker 5: were lucky enough to just return from a trip that 273 00:13:47,040 --> 00:13:50,800 Speaker 5: included a stop at Corcator, Greenland, and one of the 274 00:13:50,800 --> 00:13:52,920 Speaker 5: sculptures in that village is still a sculpture in the 275 00:13:52,960 --> 00:13:56,400 Speaker 5: Fisherman's Wharf is of a boob and it's named the 276 00:13:56,400 --> 00:13:59,600 Speaker 5: most Beautiful Thing. It was done by an artist who 277 00:13:59,840 --> 00:14:03,400 Speaker 5: did sculptures all over the village. Somehow, when I heard 278 00:14:03,400 --> 00:14:05,800 Speaker 5: this from the tour guide, I immediately thought of Clay Travis. 279 00:14:05,920 --> 00:14:11,120 Speaker 3: Can't imagine why, Oh that's nice, But what I'm like, 280 00:14:11,240 --> 00:14:14,320 Speaker 3: I'm not sure. I see that you're the boob expert here, like, yeah, 281 00:14:14,360 --> 00:14:18,760 Speaker 3: we all appreciate the female form, you know, like, well. 282 00:14:18,640 --> 00:14:21,680 Speaker 1: There's a there's a double a double on tendre they 283 00:14:21,680 --> 00:14:24,840 Speaker 1: are going on too, because a boob is also someone 284 00:14:24,920 --> 00:14:28,480 Speaker 1: who is not particularly witty or with it right, a 285 00:14:28,600 --> 00:14:31,760 Speaker 1: bit of a dullard. So I kind of wonder if 286 00:14:31,800 --> 00:14:35,720 Speaker 1: Madeline was also undercutting me a little bit there, because yes, 287 00:14:35,800 --> 00:14:39,600 Speaker 1: there's the physical object, but also someone is a boob 288 00:14:39,880 --> 00:14:43,400 Speaker 1: if they are not particularly you know, with it, so 289 00:14:43,520 --> 00:14:46,480 Speaker 1: to speak. So I don't know, was that a subtle, 290 00:14:46,840 --> 00:14:49,200 Speaker 1: a subtle double on tendre that she was like that 291 00:14:49,360 --> 00:14:53,200 Speaker 1: talking It's like that talkback was a booby trap. There 292 00:14:53,280 --> 00:14:55,920 Speaker 1: you go, by the way he got the VIP email 293 00:14:55,960 --> 00:14:59,200 Speaker 1: from Keith. He says Clay's wrong about Kamala running again. 294 00:14:59,720 --> 00:15:02,760 Speaker 1: The big liberal donors want nothing to do with her. 295 00:15:03,080 --> 00:15:05,520 Speaker 1: So he agrees with you there. However, this is a 296 00:15:05,560 --> 00:15:07,200 Speaker 1: heck of a pivot in this email. I don't even 297 00:15:07,200 --> 00:15:09,480 Speaker 1: know if you've seen this yet. No, Clay was right. 298 00:15:09,720 --> 00:15:14,480 Speaker 1: Clay was right about diversity in strip clubs. What is 299 00:15:14,800 --> 00:15:18,400 Speaker 1: what a pivot? What a pivot from Keith? Just covering 300 00:15:18,440 --> 00:15:20,560 Speaker 1: all the bases, They are covering all the ground. 301 00:15:21,200 --> 00:15:21,320 Speaker 5: Uh. 302 00:15:21,920 --> 00:15:23,760 Speaker 1: I love that this show. We really we have. 303 00:15:23,920 --> 00:15:26,760 Speaker 3: We have quite a range here in our beloved audience 304 00:15:27,160 --> 00:15:31,200 Speaker 3: from UH, from pastors and Sunday school teachers all the 305 00:15:31,200 --> 00:15:33,880 Speaker 3: way over to UH strip club proprietors. You know, we 306 00:15:34,200 --> 00:15:36,640 Speaker 3: got a whole range of people who listen and there. 307 00:15:36,640 --> 00:15:39,600 Speaker 1: This might be, this might be a good example of 308 00:15:39,640 --> 00:15:42,240 Speaker 1: me being from Nashville, because there was a time, I 309 00:15:42,280 --> 00:15:45,400 Speaker 1: don't know if it's still true, where Nashville had the 310 00:15:45,440 --> 00:15:50,480 Speaker 1: most churches and strip clubs per capita of any city 311 00:15:50,680 --> 00:15:51,480 Speaker 1: in America. 312 00:15:52,040 --> 00:15:54,800 Speaker 3: I think which Tampa has the most strip clubs per capita? Now, 313 00:15:54,880 --> 00:15:56,720 Speaker 3: don't ask me why, I know that I've really never 314 00:15:56,800 --> 00:15:59,080 Speaker 3: been to I would. I actually think that's probably true. 315 00:15:59,080 --> 00:16:03,600 Speaker 3: They probably don't have the same number of churches as Nashville. 316 00:16:03,640 --> 00:16:05,760 Speaker 3: But yeah, you could send on Saturday and then you 317 00:16:05,800 --> 00:16:08,600 Speaker 3: could make it all up on Sunday very easily, sometimes 318 00:16:08,880 --> 00:16:12,520 Speaker 3: by side by side. Good Heavens. Clay podcast listener June 319 00:16:12,680 --> 00:16:14,480 Speaker 3: KK talkback hit. 320 00:16:14,400 --> 00:16:18,480 Speaker 6: It the nickname for your beautiful baby boy Speed. Is 321 00:16:18,520 --> 00:16:20,600 Speaker 6: there a story behind Nan? I know we all have 322 00:16:20,720 --> 00:16:23,680 Speaker 6: nicknames for our children, and just wondering if there's a 323 00:16:23,720 --> 00:16:25,240 Speaker 6: story behind the Speed. 324 00:16:26,280 --> 00:16:28,960 Speaker 3: Hey, June, it's actually not a nickname. It is his 325 00:16:29,000 --> 00:16:31,840 Speaker 3: middle name, it is his name on his birth certificate. 326 00:16:32,040 --> 00:16:34,960 Speaker 3: It's a family name. It is my grant, my paternal 327 00:16:35,120 --> 00:16:40,160 Speaker 3: grandmother's maiden name. And if you know the Speed Museum 328 00:16:40,240 --> 00:16:44,040 Speaker 3: in Kentucky, it is that same family. In fact, Clay, 329 00:16:44,120 --> 00:16:47,640 Speaker 3: I just had a genealogist based in Franklin do an 330 00:16:47,680 --> 00:16:53,360 Speaker 3: official all the way back to the seventeenth century family. 331 00:16:53,400 --> 00:16:54,120 Speaker 1: That's cool. 332 00:16:54,640 --> 00:17:01,160 Speaker 3: And James Speed was Abraham Lincoln's attorney General and is 333 00:17:01,200 --> 00:17:06,120 Speaker 3: a direct relative of that paternal grandmother family line straight back, 334 00:17:06,560 --> 00:17:08,639 Speaker 3: so that is where the that is where the Speed 335 00:17:08,720 --> 00:17:11,440 Speaker 3: name comes from, as well as Joshua Speed, who was 336 00:17:11,480 --> 00:17:13,360 Speaker 3: a good friend of Abraham Lincoln. 337 00:17:13,400 --> 00:17:15,640 Speaker 1: So it's a family name, straight up family name. There 338 00:17:15,680 --> 00:17:15,919 Speaker 1: you go. 339 00:17:16,080 --> 00:17:19,040 Speaker 3: It's it's my dad's middle name. Everyone calls my dad's speeds. 340 00:17:19,119 --> 00:17:20,800 Speaker 3: We have speed the elder and Speed the younger. 341 00:17:20,880 --> 00:17:25,960 Speaker 1: Now, that's awesome. And and if you missed it earlier, 342 00:17:26,760 --> 00:17:29,800 Speaker 1: we had a special baby drop in. You can see 343 00:17:29,800 --> 00:17:33,439 Speaker 1: it on video if you go subscribe to the YouTube channel. 344 00:17:34,000 --> 00:17:37,359 Speaker 1: Three and a half month old baby boy visiting and 345 00:17:38,400 --> 00:17:40,760 Speaker 1: started to show a little bit of For people out 346 00:17:40,760 --> 00:17:43,439 Speaker 1: there who have been through the baby business for several months, 347 00:17:43,440 --> 00:17:46,119 Speaker 1: you don't necessarily get a lot this. You're starting to 348 00:17:46,119 --> 00:17:49,119 Speaker 1: get a little bit of a feedback here, which is 349 00:17:49,440 --> 00:17:50,960 Speaker 1: for those of you out there race babies. 350 00:17:51,040 --> 00:17:53,840 Speaker 3: He he's laughing and giggling all the time. Now, baby 351 00:17:53,840 --> 00:17:57,720 Speaker 3: giggles are really the greatest absolute in the world. Under 352 00:17:57,720 --> 00:18:01,120 Speaker 3: the category of what you invest in today will pay 353 00:18:01,160 --> 00:18:04,960 Speaker 3: big dividends tomorrow, I want you to think about gold. 354 00:18:05,119 --> 00:18:07,560 Speaker 3: Owning gold is good, can be physical, gold kind you 355 00:18:07,600 --> 00:18:10,239 Speaker 3: hold in your hand, You're safe wherever you keep it. 356 00:18:10,680 --> 00:18:13,040 Speaker 3: Or gold you can invest in your four oh one 357 00:18:13,119 --> 00:18:16,760 Speaker 3: k or ira courtesy of our friends at Birch Gold. 358 00:18:17,200 --> 00:18:20,280 Speaker 3: Investing some of your cash in gold is a very 359 00:18:20,320 --> 00:18:22,480 Speaker 3: smart move. Just look over the last couple of years. 360 00:18:23,200 --> 00:18:25,760 Speaker 3: In fact, in just the last year, gold is increased 361 00:18:25,760 --> 00:18:28,320 Speaker 3: in value by forty percent. While we wait for the 362 00:18:28,359 --> 00:18:30,960 Speaker 3: Trump economy to fully blossom, it is still our job 363 00:18:31,000 --> 00:18:34,760 Speaker 3: to make sure our own individual financial situation is as 364 00:18:34,880 --> 00:18:38,240 Speaker 3: prepared as possible for the future. Where gold comes in. 365 00:18:38,440 --> 00:18:41,800 Speaker 3: Birch Gold makes owning physical gold very easy for thousands 366 00:18:41,800 --> 00:18:44,600 Speaker 3: of customers in this audience. They can also exist. Take 367 00:18:44,640 --> 00:18:46,560 Speaker 3: an existing IRA or four oh one K and turn 368 00:18:46,600 --> 00:18:49,399 Speaker 3: it into a tax sheltered IRA with physical gold. 369 00:18:49,800 --> 00:18:50,959 Speaker 1: Birch Gold to help you do it. 370 00:18:51,000 --> 00:18:53,440 Speaker 3: Text my name Buck to ninety eight ninety eight ninety 371 00:18:53,480 --> 00:18:57,320 Speaker 3: eight Text Buck to ninety eight ninety eight ninety eight. 372 00:18:57,480 --> 00:19:01,400 Speaker 1: Welcome back in Clay Travis buck sext Show. Appreciate all 373 00:19:01,440 --> 00:19:03,800 Speaker 1: of you hanging out with us. We are joined now 374 00:19:03,880 --> 00:19:09,720 Speaker 1: by Melissa Holyoke, Commissioner of the United States Federal Trade Commission. 375 00:19:10,400 --> 00:19:14,800 Speaker 1: A lot going on in that world as we break 376 00:19:14,840 --> 00:19:20,320 Speaker 1: down all of the different I would say, just insanity 377 00:19:20,359 --> 00:19:22,119 Speaker 1: that seems to be going on on a day to 378 00:19:22,160 --> 00:19:26,440 Speaker 1: day basis, a lot of different mergers underway, a lot 379 00:19:26,480 --> 00:19:30,119 Speaker 1: of different moving parts associated with the tariffs and everything else. 380 00:19:30,240 --> 00:19:33,400 Speaker 1: You're new in the job, how has that been for 381 00:19:33,520 --> 00:19:34,200 Speaker 1: you so far. 382 00:19:36,000 --> 00:19:38,359 Speaker 7: Oh well, thank you, thank you for having me on. 383 00:19:38,440 --> 00:19:41,800 Speaker 7: I'm super excited to be here. Thanks Clay. The job 384 00:19:41,840 --> 00:19:45,560 Speaker 7: has been wonderful, it's been amazing. We had a change 385 00:19:45,560 --> 00:19:48,800 Speaker 7: in administration in January, so it's nice to finally have 386 00:19:48,920 --> 00:19:52,240 Speaker 7: a positive agenda that we can implement. But like you said, 387 00:19:52,359 --> 00:19:56,119 Speaker 7: things are changing every day, lots of big things in 388 00:19:56,160 --> 00:19:58,639 Speaker 7: our world. I think what's interesting is we get a 389 00:19:58,720 --> 00:20:01,639 Speaker 7: lot of questions about rifts, and I will get a 390 00:20:01,640 --> 00:20:04,560 Speaker 7: lot of questions about tariffs, but we don't even though 391 00:20:04,600 --> 00:20:07,760 Speaker 7: the word trade is in our name, we don't necessarily 392 00:20:07,840 --> 00:20:11,680 Speaker 7: do anything with tariffs other than see maybe some of 393 00:20:10,320 --> 00:20:15,080 Speaker 7: the consequences of that. So we don't negotiate those or 394 00:20:15,160 --> 00:20:18,080 Speaker 7: enforce those. So what we're looking at, what the Federal 395 00:20:18,119 --> 00:20:22,200 Speaker 7: Trade Commission does is protect americ consumers in the United States, 396 00:20:22,240 --> 00:20:24,960 Speaker 7: mostly from frauds, theirs and scammers, and like you said, 397 00:20:25,359 --> 00:20:28,600 Speaker 7: from anti competitive behavior. And we look at mergers in 398 00:20:28,640 --> 00:20:30,720 Speaker 7: the world and see what's happening with companies, and we 399 00:20:30,760 --> 00:20:33,440 Speaker 7: want to protect Americans from monopolists as well. 400 00:20:34,119 --> 00:20:35,440 Speaker 3: What are some of the thank you for being with 401 00:20:35,480 --> 00:20:39,160 Speaker 3: this commissioner's buck, What are some of the primary frauds. 402 00:20:39,200 --> 00:20:42,120 Speaker 3: You know, one thing that we have a great sponsor 403 00:20:42,119 --> 00:20:44,680 Speaker 3: on the show that deals with identity theft. And one 404 00:20:44,720 --> 00:20:48,480 Speaker 3: thing that I've seen is just how sophisticated some of 405 00:20:48,520 --> 00:20:52,440 Speaker 3: these efforts are to do that. It's really it used 406 00:20:52,480 --> 00:20:54,239 Speaker 3: to be somebody would send you an email saying, you know, 407 00:20:54,359 --> 00:20:55,920 Speaker 3: I'll give you a million dollars if you give me 408 00:20:56,000 --> 00:20:59,160 Speaker 3: ten thousand, and unfortunately that would work far to you often, 409 00:20:59,200 --> 00:21:01,840 Speaker 3: but it's a little bit, a little bit on the 410 00:21:02,320 --> 00:21:05,560 Speaker 3: obvious side. Now they're getting really good at pretending to 411 00:21:05,560 --> 00:21:07,080 Speaker 3: be from a bank or I mean, what are the 412 00:21:07,200 --> 00:21:10,680 Speaker 3: kind of scams or the kind of things the FTC 413 00:21:11,000 --> 00:21:13,760 Speaker 3: is focused in on policing these days. 414 00:21:14,720 --> 00:21:16,919 Speaker 7: That's such a great question, I mean, because that is 415 00:21:17,200 --> 00:21:18,960 Speaker 7: a majority of our work and what we want to 416 00:21:19,000 --> 00:21:23,359 Speaker 7: focus on, and fraud is just growing and growing. Lust 417 00:21:24,000 --> 00:21:26,920 Speaker 7: It was ten billion dollars a couple of years ago 418 00:21:26,960 --> 00:21:29,800 Speaker 7: and now it's grown twenty five percent to over twelve billion, 419 00:21:30,280 --> 00:21:32,240 Speaker 7: and it's what we want to focus on every day. 420 00:21:32,560 --> 00:21:35,520 Speaker 7: So and what we're seeing, like you said, is we're 421 00:21:35,560 --> 00:21:39,800 Speaker 7: seeing lots of sophisticated frauds and the use of different technologies. 422 00:21:40,160 --> 00:21:43,879 Speaker 7: So one of those examples is they use voice cloning technology. 423 00:21:44,359 --> 00:21:46,520 Speaker 7: So you'll have a grandma in the middle of the 424 00:21:46,600 --> 00:21:49,479 Speaker 7: night get a call from what sounds exactly like her 425 00:21:49,520 --> 00:21:53,080 Speaker 7: grandson saying I'm in jail, I need money, send this 426 00:21:53,119 --> 00:21:55,960 Speaker 7: to me here, and it sounds just like them. And 427 00:21:56,280 --> 00:22:00,960 Speaker 7: those are the kinds of really concerning uh types of 428 00:22:01,000 --> 00:22:05,000 Speaker 7: fraud where folks everyone can would get do from it, 429 00:22:05,080 --> 00:22:08,680 Speaker 7: not just it does. It's a lot more sophisticated than 430 00:22:09,000 --> 00:22:10,639 Speaker 7: some of the things that we've seen in the past, 431 00:22:10,680 --> 00:22:14,359 Speaker 7: and we're we're trying to go out and educate consumers 432 00:22:14,400 --> 00:22:17,119 Speaker 7: on some of these these more sophisticated frauds. 433 00:22:17,440 --> 00:22:20,160 Speaker 3: What are the enforcement mechanisms, like what can you when 434 00:22:20,200 --> 00:22:22,760 Speaker 3: when you find something that's going on. I mean, you're 435 00:22:22,800 --> 00:22:25,879 Speaker 3: not the FBI, right, so what what enforcement mechanisms does 436 00:22:25,920 --> 00:22:28,520 Speaker 3: the FTC have access to? And how does that process 437 00:22:28,520 --> 00:22:30,199 Speaker 3: work when you find the frauds there is them? 438 00:22:30,240 --> 00:22:34,280 Speaker 7: What great question? So what we do is a lot 439 00:22:34,359 --> 00:22:37,280 Speaker 7: of the times we're looking at trends of frauds. So 440 00:22:37,359 --> 00:22:40,760 Speaker 7: we have a really large database that that we have 441 00:22:41,240 --> 00:22:43,800 Speaker 7: that many many states have access to, and we look 442 00:22:43,800 --> 00:22:46,760 Speaker 7: at complaints that are coming in. I think one thing 443 00:22:46,760 --> 00:22:49,000 Speaker 7: that I want to if I could get a message out. 444 00:22:49,080 --> 00:22:51,160 Speaker 7: One thing is to make sure to report the fraud. 445 00:22:51,200 --> 00:22:53,560 Speaker 7: We have a website that says that where you can 446 00:22:53,600 --> 00:22:56,040 Speaker 7: report the frauds and we take those complaints and we 447 00:22:56,119 --> 00:22:58,520 Speaker 7: start from there and able to and in order to 448 00:22:59,080 --> 00:23:03,960 Speaker 7: do life. Like you said, investigations, we will issue civil 449 00:23:04,040 --> 00:23:07,560 Speaker 7: investigative demands. If we think there's a criminal component to it, 450 00:23:07,600 --> 00:23:09,880 Speaker 7: we work with our criminal partners. We will go reach 451 00:23:09,920 --> 00:23:12,840 Speaker 7: out to the Department of Justice or others state partners, 452 00:23:14,119 --> 00:23:18,280 Speaker 7: US attorneys and districts across the country and work with 453 00:23:18,320 --> 00:23:23,800 Speaker 7: them if those types of criminal components are are applicable to. 454 00:23:25,280 --> 00:23:27,560 Speaker 3: So basically you can flag something for DOJ, and then 455 00:23:27,640 --> 00:23:29,760 Speaker 3: DJ can actually make it a criminal matter if that's 456 00:23:29,800 --> 00:23:30,680 Speaker 3: the kind of fraud you're. 457 00:23:30,600 --> 00:23:33,639 Speaker 7: Talking about exactly. But we don't have to stop just 458 00:23:33,680 --> 00:23:36,199 Speaker 7: because there might be a criminal component. A lot of 459 00:23:36,200 --> 00:23:38,560 Speaker 7: times we can move really fast in terms of freezing 460 00:23:38,600 --> 00:23:42,040 Speaker 7: assets and going in and making sure like to stop 461 00:23:42,080 --> 00:23:44,920 Speaker 7: the bleeding and basically have those assets available if, if, 462 00:23:45,040 --> 00:23:47,760 Speaker 7: and when we can get some money back to consumers. 463 00:23:48,400 --> 00:23:50,600 Speaker 1: One of the biggest challenges I would imagine in the 464 00:23:50,640 --> 00:23:54,280 Speaker 1: merger space is technology and the fact that this thing 465 00:23:54,359 --> 00:23:57,760 Speaker 1: is moving so rapidly whether it's AI or elsewhere, that 466 00:23:57,800 --> 00:24:01,879 Speaker 1: we typically think of monopoly power as something that leads 467 00:24:01,920 --> 00:24:05,920 Speaker 1: to higher prices, But in the universe that we're in now, 468 00:24:06,040 --> 00:24:09,360 Speaker 1: some of these huge tech companies are arguing that when 469 00:24:09,400 --> 00:24:12,560 Speaker 1: they are merging, when they are buying new assets, it's 470 00:24:12,600 --> 00:24:16,240 Speaker 1: actually leading to lower prices. How do you balance all 471 00:24:16,240 --> 00:24:20,320 Speaker 1: this out? Because the tech universe has definitely maybe upset 472 00:24:20,359 --> 00:24:23,840 Speaker 1: the apple card of what monopolistic power truly looks like. 473 00:24:26,000 --> 00:24:28,840 Speaker 7: I think that's so important that we're actually analyzing what 474 00:24:28,880 --> 00:24:32,199 Speaker 7: the harms are. Like you said, we have mergers that 475 00:24:32,240 --> 00:24:34,840 Speaker 7: we look at. So many mergers that get filed and 476 00:24:34,880 --> 00:24:38,440 Speaker 7: we get notification of them, but in the vast majority 477 00:24:38,480 --> 00:24:41,520 Speaker 7: of them, like literally ninety eight percent of cases, there's 478 00:24:41,560 --> 00:24:44,919 Speaker 7: no real problems there in terms of the merger, and 479 00:24:44,960 --> 00:24:48,520 Speaker 7: in fact, a lot of mergers provide benefits for consumers. 480 00:24:48,720 --> 00:24:50,400 Speaker 7: And so what we want to do is make sure 481 00:24:50,440 --> 00:24:52,760 Speaker 7: we're getting out of the way if there are our 482 00:24:52,800 --> 00:24:55,280 Speaker 7: mergers out there that can really provide benefits, because the 483 00:24:55,280 --> 00:24:57,840 Speaker 7: faster that they can move, the better and quicker that 484 00:24:57,880 --> 00:25:00,800 Speaker 7: those benefits can go to consumers. And then in the 485 00:25:00,840 --> 00:25:03,320 Speaker 7: smaller amount of cases, yes, we'll take a second look 486 00:25:03,359 --> 00:25:06,159 Speaker 7: in the two percent cases to see what's happening. But 487 00:25:06,320 --> 00:25:09,280 Speaker 7: like you said, in these in tech and in big tech, 488 00:25:09,359 --> 00:25:12,879 Speaker 7: these are extremely dynamic markets. Things are chanting all the time, 489 00:25:13,280 --> 00:25:16,000 Speaker 7: and we want to be analyzing them correctly. So we're 490 00:25:16,040 --> 00:25:21,480 Speaker 7: not providing or we're not preventing any benefits that that 491 00:25:22,000 --> 00:25:23,480 Speaker 7: consumers could couldn't. 492 00:25:23,240 --> 00:25:27,720 Speaker 1: Enjoy outstanding stuff. Well, look, we need you back. I 493 00:25:27,720 --> 00:25:29,719 Speaker 1: know you got a lot to get on involved in 494 00:25:29,800 --> 00:25:32,760 Speaker 1: because we've got what the big rail merger that they're 495 00:25:32,800 --> 00:25:34,679 Speaker 1: talking about right now. I'm sure you're going to be 496 00:25:34,720 --> 00:25:37,280 Speaker 1: diving into so many of these different cases, so many 497 00:25:37,320 --> 00:25:40,040 Speaker 1: of these different decisions. Just keep us on speed dial. 498 00:25:40,119 --> 00:25:42,120 Speaker 1: We want you on to be able to bring us 499 00:25:42,200 --> 00:25:44,119 Speaker 1: up to speed on so many of these different issues 500 00:25:44,160 --> 00:25:47,560 Speaker 1: going forward to congratulations on hopefully being able to get 501 00:25:47,560 --> 00:25:49,439 Speaker 1: a lot more done now with the new administration. 502 00:25:50,320 --> 00:25:53,200 Speaker 7: Well, I appreciate that so much. I love the work 503 00:25:53,240 --> 00:25:56,399 Speaker 7: that I'm doing. It it's very important. I will say 504 00:25:57,040 --> 00:25:59,600 Speaker 7: one thing that is that if I can just leave 505 00:25:59,720 --> 00:26:05,040 Speaker 7: with a few last moments thoughts related to the terrorists, 506 00:26:06,040 --> 00:26:10,639 Speaker 7: I think there's just been this real reinvigoration of American manufacturing, 507 00:26:10,760 --> 00:26:14,080 Speaker 7: American exceptionalism, and the one thing that the FTC has 508 00:26:14,080 --> 00:26:16,760 Speaker 7: been focusing on in the month of July is the 509 00:26:16,840 --> 00:26:21,280 Speaker 7: maid in the USA and label rule and oh yeah, 510 00:26:21,640 --> 00:26:26,200 Speaker 7: enforcement efforts there. And if folks are looking and they're 511 00:26:26,240 --> 00:26:29,040 Speaker 7: seeing problems made in the USA labels that they just 512 00:26:29,040 --> 00:26:32,479 Speaker 7: don't that are are suspect to them, they can email 513 00:26:32,560 --> 00:26:35,960 Speaker 7: us at MUSA at FTC dot org. But we also 514 00:26:36,000 --> 00:26:38,639 Speaker 7: work with businesses, So if businesses are trying to comply 515 00:26:38,760 --> 00:26:40,840 Speaker 7: with the law and want to make sure that they 516 00:26:40,920 --> 00:26:44,080 Speaker 7: are advertising truthfully and really working with consumers on that, 517 00:26:44,240 --> 00:26:45,480 Speaker 7: they can also email. 518 00:26:45,240 --> 00:26:49,120 Speaker 1: Us because lots of people plugging for that. Yeah, lots 519 00:26:49,119 --> 00:26:52,000 Speaker 1: of people sadly do try and lie about the maide 520 00:26:52,040 --> 00:26:55,239 Speaker 1: in the USA. We've done reading and studies on that, 521 00:26:55,320 --> 00:26:56,760 Speaker 1: so I'm glad that you can be on top of 522 00:26:56,800 --> 00:26:59,800 Speaker 1: it because obviously is something that many people want to 523 00:27:00,000 --> 00:27:04,280 Speaker 1: be able to spend their money on. Yes, absolutely, thank 524 00:27:04,320 --> 00:27:08,800 Speaker 1: you so much. That's Melissa Hollyoak with the FTC. Look, 525 00:27:09,200 --> 00:27:13,119 Speaker 1: we just had an awful story Midtown Manhattan. What happened there? 526 00:27:13,359 --> 00:27:16,280 Speaker 1: Innocent lives lost a tunnel of the Towers has been 527 00:27:16,280 --> 00:27:20,440 Speaker 1: supporting America's greatest heroes and their families. In fact, they 528 00:27:20,520 --> 00:27:23,919 Speaker 1: have already pledged financial assistance to the family of the 529 00:27:23,920 --> 00:27:26,240 Speaker 1: New York City police officer who was killed in the 530 00:27:26,280 --> 00:27:30,120 Speaker 1: line of duty at that Manhattan office building on Monday. 531 00:27:30,440 --> 00:27:34,440 Speaker 1: They did it without fanfare, without the need for news conferences. 532 00:27:34,520 --> 00:27:38,200 Speaker 1: In fact, they had no idea we're even talking about 533 00:27:38,200 --> 00:27:42,160 Speaker 1: it right now. Producer Ali saw that this was happening 534 00:27:42,160 --> 00:27:43,800 Speaker 1: and said, we want to shine a light on it 535 00:27:43,840 --> 00:27:46,880 Speaker 1: because it's a great example of how quickly and rapidly 536 00:27:46,920 --> 00:27:49,760 Speaker 1: they can respond to tragedy. Tell of the Towers all 537 00:27:49,800 --> 00:27:52,960 Speaker 1: about supporting families when their loved ones have been lost 538 00:27:53,040 --> 00:27:56,439 Speaker 1: in the line of duty, defending our freedoms, protecting our communities. 539 00:27:56,760 --> 00:27:59,320 Speaker 1: Your donations will help pay off a mortgage so a 540 00:27:59,400 --> 00:28:01,960 Speaker 1: family does don't lose their home, and that's just one 541 00:28:02,000 --> 00:28:04,560 Speaker 1: of hundreds of actions they will take. You can join 542 00:28:04,640 --> 00:28:07,280 Speaker 1: us in donating eleven dollars a month a tunnel of 543 00:28:07,280 --> 00:28:10,119 Speaker 1: the Towers at t twot dot org. That's t the 544 00:28:10,240 --> 00:28:14,480 Speaker 1: number two T dot org again, T two t dot org. 545 00:28:15,359 --> 00:28:17,920 Speaker 1: Want to begin to know when you're on the go? 546 00:28:18,359 --> 00:28:22,359 Speaker 1: The Team forty seven podcast Trump highlights from the week 547 00:28:22,640 --> 00:28:25,720 Speaker 1: Sundays at noon Eastern in the Clay and Buck podcast feed. 548 00:28:25,840 --> 00:28:28,960 Speaker 1: Find it on the iHeartRadio amp or wherever you get 549 00:28:29,000 --> 00:28:29,880 Speaker 1: your podcasts. 550 00:28:30,560 --> 00:28:33,280 Speaker 3: All right, we're closing up shop today on Clay and Buck, 551 00:28:33,480 --> 00:28:38,000 Speaker 3: so we'll get some more talkbacks, calls, emails, galore, all 552 00:28:38,040 --> 00:28:40,120 Speaker 3: that stuff. But also reminded you please subscribe to the 553 00:28:40,160 --> 00:28:43,240 Speaker 3: YouTube channel. Go to YouTube dot com and go to 554 00:28:43,640 --> 00:28:48,240 Speaker 3: at Clayandbuck is the account at Clay and Buck. And 555 00:28:48,320 --> 00:28:50,800 Speaker 3: let's do it. Well, actually, let's do this Nancy Pelosi thing. 556 00:28:51,120 --> 00:28:55,680 Speaker 3: Nancy Pelosi was on the was on with Fake Tapper 557 00:28:55,720 --> 00:29:00,040 Speaker 3: over at CNN, and here is how that went, and 558 00:29:00,120 --> 00:29:02,480 Speaker 3: she was asked about insider trading allegations. 559 00:29:02,560 --> 00:29:05,680 Speaker 1: Let's play it this afternoon, President Trump mentioned you and 560 00:29:05,760 --> 00:29:08,320 Speaker 1: he made an allegation about your investments. Let me just 561 00:29:08,360 --> 00:29:10,200 Speaker 1: read what he said. Nancy Pelosh became rich. 562 00:29:10,360 --> 00:29:12,480 Speaker 8: I might have to read that. We're here to talk 563 00:29:12,520 --> 00:29:15,080 Speaker 8: about the sixtieth anniversary of Medicaid. 564 00:29:15,080 --> 00:29:16,040 Speaker 4: That's what I agreed to. 565 00:29:16,000 --> 00:29:16,520 Speaker 8: Come to talk. 566 00:29:16,680 --> 00:29:19,000 Speaker 1: Yeah, but I wanted to that means in the election, 567 00:29:19,200 --> 00:29:20,800 Speaker 1: I wanted to give you a chances to respond. He 568 00:29:20,840 --> 00:29:23,800 Speaker 1: accused you of insider trading. What's your response to that? 569 00:29:23,760 --> 00:29:27,480 Speaker 8: That's very ridiculous. In fact, I very much support to 570 00:29:27,600 --> 00:29:31,280 Speaker 8: stop the trading of members of cost I'm not into it. 571 00:29:31,320 --> 00:29:34,120 Speaker 8: My husband is, but it isn't anything to do with 572 00:29:34,200 --> 00:29:35,280 Speaker 8: anything inside of it. 573 00:29:36,320 --> 00:29:38,880 Speaker 3: I like how Pelosi is just like Jake, you're here 574 00:29:38,920 --> 00:29:42,280 Speaker 3: to do my bidding, Like, shut your face, I'm talking 575 00:29:42,320 --> 00:29:43,160 Speaker 3: about something else. 576 00:29:43,520 --> 00:29:44,560 Speaker 1: This is nonsense. 577 00:29:44,640 --> 00:29:47,760 Speaker 3: Like the whole notion that CNN even exists to do 578 00:29:47,880 --> 00:29:52,280 Speaker 3: journalism anymore is laughable to everybody, including Democrats. Pelosi's like, Jake, 579 00:29:52,320 --> 00:29:53,720 Speaker 3: what do you think you are? You think this is 580 00:29:53,720 --> 00:29:55,640 Speaker 3: an interview, you're you're. 581 00:29:55,520 --> 00:29:59,280 Speaker 1: A stenographer for power. Shut your face. I think it 582 00:29:59,360 --> 00:30:02,240 Speaker 1: is very funny that she lectured him because she says 583 00:30:02,360 --> 00:30:04,800 Speaker 1: she didn't agree to come on and talk about that topic. 584 00:30:05,360 --> 00:30:08,640 Speaker 1: I can't remember. And producer, Ali, you probably have been 585 00:30:08,640 --> 00:30:11,680 Speaker 1: asked about this sometimes. I don't think we ever do it. 586 00:30:12,240 --> 00:30:15,080 Speaker 1: People can say, hey, we'd like to talk about this 587 00:30:15,200 --> 00:30:17,680 Speaker 1: new bill, right, Hey I want to come on like that. 588 00:30:17,760 --> 00:30:19,640 Speaker 1: You know, we get pitched guests all the time. That 589 00:30:19,640 --> 00:30:22,320 Speaker 1: probably doesn't stun you. I don't know if you ever 590 00:30:22,400 --> 00:30:25,320 Speaker 1: had this. When I did sports, there would often be 591 00:30:25,680 --> 00:30:28,560 Speaker 1: an arrogance about the pitch, and they would say, but 592 00:30:28,680 --> 00:30:32,120 Speaker 1: you can't ask coach about X, or you can't ask 593 00:30:32,240 --> 00:30:36,960 Speaker 1: player about why, and I would always say, uniformly, why 594 00:30:37,000 --> 00:30:39,280 Speaker 1: would I ever have somebody on who thought that they 595 00:30:39,320 --> 00:30:42,840 Speaker 1: could dictate what questions could be asked? And so I 596 00:30:42,880 --> 00:30:47,600 Speaker 1: think Nancy Pelosi showed you how often Democrats do feel 597 00:30:48,040 --> 00:30:51,000 Speaker 1: like when they go on CNN, for instance, they can say, Hey, 598 00:30:51,080 --> 00:30:52,680 Speaker 1: we want to go on we want to talk about 599 00:30:52,680 --> 00:30:56,080 Speaker 1: this topic Medicare sixtieth anniversary, but we don't want to 600 00:30:56,240 --> 00:31:01,760 Speaker 1: actually talk about anything else. And I do think that's interesting. 601 00:31:02,080 --> 00:31:03,520 Speaker 1: I got a funny one for you here, Buck. As 602 00:31:03,520 --> 00:31:06,440 Speaker 1: we finish up shop yesterday after we went off the air, 603 00:31:07,480 --> 00:31:10,080 Speaker 1: Kamala Harris announced that she wasn't going to be running 604 00:31:10,080 --> 00:31:12,960 Speaker 1: for governor of California, as we've talked about on the program. 605 00:31:13,200 --> 00:31:16,320 Speaker 1: And I hopped on Twitter and I said, smart of 606 00:31:16,400 --> 00:31:20,640 Speaker 1: Kamala not to run for governor of California. Democrats definitely 607 00:31:20,680 --> 00:31:23,960 Speaker 1: need to nominate her again in twenty twenty eight for president. 608 00:31:24,160 --> 00:31:27,560 Speaker 1: Great candidate. Voters just didn't have enough time to get 609 00:31:27,600 --> 00:31:30,840 Speaker 1: to know her in twenty four. She'll be phenomenal in 610 00:31:30,880 --> 00:31:34,239 Speaker 1: twenty eight. I thought, Okay, that's very sarcastic. Everybody will 611 00:31:34,280 --> 00:31:37,080 Speaker 1: get it. But just to be clear, I also said 612 00:31:37,320 --> 00:31:40,560 Speaker 1: she should also pick Tim Walls as VP again. Guy 613 00:31:40,720 --> 00:31:44,080 Speaker 1: just oozes masculinity. Men didn't get to see him enough 614 00:31:44,120 --> 00:31:47,360 Speaker 1: in twenty four. In twenty eight, men will support this 615 00:31:47,480 --> 00:31:51,120 Speaker 1: ticket in big numbers. Remember he runs a mean pick 616 00:31:51,240 --> 00:31:55,320 Speaker 1: six play. Guy's a stud. Lots of Democrats are now 617 00:31:55,320 --> 00:31:59,760 Speaker 1: in my mentions thanking me for speaking up for Kamala Harris. 618 00:32:00,360 --> 00:32:03,920 Speaker 1: The jokes just went completely over their heads. 619 00:32:04,000 --> 00:32:06,520 Speaker 3: So they're gonna be real sad when they tune into 620 00:32:06,520 --> 00:32:11,480 Speaker 3: this show expecting Clay Travis male feminist and Kamala Harris fan. 621 00:32:13,440 --> 00:32:17,360 Speaker 1: So again we had that discussion. Pole question was up, 622 00:32:17,400 --> 00:32:20,239 Speaker 1: do we think she'll run in twenty eight? Buck, you 623 00:32:20,360 --> 00:32:25,080 Speaker 1: have won the day's poll question. There are thousands of 624 00:32:25,120 --> 00:32:28,120 Speaker 1: you that have voted sixty percent no, she does not run. 625 00:32:28,440 --> 00:32:31,680 Speaker 1: Forty percent say yes she will run. For those of 626 00:32:31,680 --> 00:32:33,800 Speaker 1: you missed it, I said that I thought she would. 627 00:32:35,040 --> 00:32:38,640 Speaker 1: Let's see Sharon and new Hall. Yeah, Sharon in New Hampshire. 628 00:32:38,640 --> 00:32:40,840 Speaker 1: What you got for us? 629 00:32:41,200 --> 00:32:45,360 Speaker 9: So two things. I really appreciate that last segment because 630 00:32:45,400 --> 00:32:48,320 Speaker 9: my mother was a victim of that middle of the 631 00:32:48,440 --> 00:32:52,320 Speaker 9: night scary scams. And then I just really have a 632 00:32:52,400 --> 00:32:59,880 Speaker 9: question regarding your pronunciation of many words, but particularly appreciate appreciate. 633 00:33:01,280 --> 00:33:06,840 Speaker 1: I appreciate it. I appreciate, appreciate I I thank you 634 00:33:06,880 --> 00:33:11,960 Speaker 1: for but I appreciate you. I appreciate you. Look, I 635 00:33:12,800 --> 00:33:17,800 Speaker 1: am a I talk like normal people talk. Sometimes I 636 00:33:17,880 --> 00:33:20,400 Speaker 1: even use words that I don't know how to pronounce. 637 00:33:21,080 --> 00:33:25,640 Speaker 1: And and this is uh, I guess in New Hampshire 638 00:33:26,160 --> 00:33:29,440 Speaker 1: they ah, do I need to talk to the kings. 639 00:33:29,600 --> 00:33:34,320 Speaker 1: They appreciate I appreciate you. I appreciate you. I'm not 640 00:33:34,320 --> 00:33:37,720 Speaker 1: gonna look I'm not Kamala Harris here pretending as if 641 00:33:37,760 --> 00:33:40,840 Speaker 1: I grew up in New Hampshire, where You're gonna be 642 00:33:40,840 --> 00:33:43,800 Speaker 1: walking around here and me sound like again like I 643 00:33:43,840 --> 00:33:47,680 Speaker 1: was saying earlier that I am a lobsterman from the 644 00:33:47,840 --> 00:33:48,560 Speaker 1: from New England. 645 00:33:48,960 --> 00:33:51,720 Speaker 3: Everyone not a lot of lobstermen in New Hampshire. I 646 00:33:51,720 --> 00:33:54,280 Speaker 3: think they got about thirty thirty miles of coastline clay. 647 00:33:55,440 --> 00:33:57,480 Speaker 3: But the ones they have in New Hampshire are good. 648 00:33:57,640 --> 00:33:59,960 Speaker 3: And my understanding is everybody in the whole state of 649 00:34:00,120 --> 00:34:02,720 Speaker 3: main all they do is catch a lobster, and they. 650 00:34:04,320 --> 00:34:07,719 Speaker 1: All they think, they catch a lobster and they eat it. 651 00:34:07,800 --> 00:34:11,560 Speaker 1: That is ninety nine point nine percent of their gross 652 00:34:11,560 --> 00:34:15,000 Speaker 1: domestic product is just straight lobster, which I appreciate. 653 00:34:15,840 --> 00:34:20,200 Speaker 3: Yeah, that's that's that's that's a Nashvillian's view of you 654 00:34:20,440 --> 00:34:25,960 Speaker 3: maners out there. DD podcast listener in Outer Banks famous 655 00:34:26,000 --> 00:34:28,440 Speaker 3: now because the show Eddie, Let's play It. 656 00:34:30,520 --> 00:34:34,440 Speaker 4: Hello? The game to be watching this college football season? 657 00:34:35,160 --> 00:34:38,040 Speaker 4: What's Labor Day evening? The University of North Kina, Tar 658 00:34:38,200 --> 00:34:42,920 Speaker 4: Hills and Bill Belichick entertained Texas Christian University. The whole 659 00:34:42,920 --> 00:34:48,080 Speaker 4: college football world be watching coach B's debut. ESPN is 660 00:34:48,160 --> 00:34:51,520 Speaker 4: sending its a game crew there as well. That's the 661 00:34:51,560 --> 00:34:52,640 Speaker 4: one you need to attend. 662 00:34:53,320 --> 00:34:56,760 Speaker 1: Okay, is he still dating the grad student or whatever? 663 00:34:56,880 --> 00:34:59,560 Speaker 1: Is that still happening? Grad students being very kind to her? 664 00:34:59,600 --> 00:35:01,160 Speaker 1: I think I'm sure she's old enough to be a 665 00:35:01,200 --> 00:35:04,879 Speaker 1: grad student yet, Yes, she's Bill Belichick seventy three years old, 666 00:35:04,920 --> 00:35:08,279 Speaker 1: has a twenty four year old girlfriend, which, actually, to me, 667 00:35:08,480 --> 00:35:11,640 Speaker 1: Buck is a question do you think you will pay 668 00:35:11,680 --> 00:35:15,879 Speaker 1: attention to how Bill Belichick does it North Carolina? Because 669 00:35:15,920 --> 00:35:19,160 Speaker 1: in general, you don't care much about college football because 670 00:35:19,440 --> 00:35:23,320 Speaker 1: of the twenty four year old girlfriend storyline. Because ESPN, 671 00:35:23,440 --> 00:35:27,399 Speaker 1: my understanding is eight of the UNC, he's the North 672 00:35:27,440 --> 00:35:32,799 Speaker 1: Carolina UNC. Chapel Hill they're calling him Chapel Bill. He 673 00:35:32,920 --> 00:35:35,360 Speaker 1: is their head coach. I think they're going to be 674 00:35:35,560 --> 00:35:39,359 Speaker 1: enormous audience for him in a way that wouldn't have 675 00:35:39,400 --> 00:35:42,440 Speaker 1: happened if he weren't dating. But still people would have cared. 676 00:35:42,840 --> 00:35:46,720 Speaker 1: But I think the girlfriend has actually aided the amount 677 00:35:46,760 --> 00:35:49,439 Speaker 1: of interest in his coaching debut. Do you think that's 678 00:35:49,440 --> 00:35:51,040 Speaker 1: true or you pay attention to this at all? 679 00:35:52,280 --> 00:35:54,880 Speaker 3: I mean, did the Taylor Swift thing help that Kelsey 680 00:35:54,920 --> 00:35:59,000 Speaker 3: guy viewing immensely right? So then then I would just 681 00:35:59,040 --> 00:35:59,799 Speaker 3: base it on that. 682 00:36:00,120 --> 00:36:03,240 Speaker 1: Say, I would say yes, probably. I think there's lots 683 00:36:03,239 --> 00:36:05,600 Speaker 1: of women out there that don't care at all about 684 00:36:05,760 --> 00:36:09,959 Speaker 1: UNC football, and I think they will pay attention more 685 00:36:10,120 --> 00:36:13,800 Speaker 1: because of the twenty four year old relationship, meaning she's 686 00:36:13,840 --> 00:36:17,280 Speaker 1: twenty four, he's seventy three, and maybe that I'm curious 687 00:36:17,320 --> 00:36:19,840 Speaker 1: if ESPN will show her because you know she'll be 688 00:36:19,960 --> 00:36:21,960 Speaker 1: at the game. It's actually a huge part of the 689 00:36:22,000 --> 00:36:25,399 Speaker 1: story now or will that be a controversy over whether 690 00:36:25,440 --> 00:36:27,360 Speaker 1: they show her in the crowd and all these things. 691 00:36:27,440 --> 00:36:29,120 Speaker 1: This is the kind of thing I think about and 692 00:36:29,200 --> 00:36:33,239 Speaker 1: I appreciate, appreciate, I awe, I appreciate all of you. 693 00:36:33,360 --> 00:36:36,320 Speaker 1: A appreciate. How are you supposed to say it? I appreciate, y'all. 694 00:36:37,600 --> 00:36:40,000 Speaker 3: I just like you just keep saying it the funny way. 695 00:36:40,040 --> 00:36:42,320 Speaker 3: I like the funny way you say it. I appreciate, y'all. 696 00:36:42,440 --> 00:36:46,840 Speaker 1: I do. I appreciate y'all. I Evidently I'm done for 697 00:36:46,960 --> 00:36:49,480 Speaker 1: in the New Hampshire primary. Evidently nobody will vote for me. 698 00:36:49,520 --> 00:36:52,239 Speaker 1: That's why I'm gonna stay. All the lobster fishermen are 699 00:36:52,280 --> 00:36:54,520 Speaker 1: gonna vote. I'm gonna go start lobster fishing. 700 00:36:54,560 --> 00:36:54,799 Speaker 2: Now. 701 00:36:54,880 --> 00:36:55,520 Speaker 1: That's what I'm on