1 00:00:00,320 --> 00:00:04,440 Speaker 1: Welcome in Everybody, Friday, January sixteenth edition of The Clay 2 00:00:04,480 --> 00:00:07,400 Speaker 1: Travis and Buck Sexton Show. I say it because the 3 00:00:07,440 --> 00:00:09,320 Speaker 1: month has gone by. I cannot believe we are already 4 00:00:09,360 --> 00:00:12,200 Speaker 1: into twenty twenty six. I'm starting to say the right 5 00:00:12,280 --> 00:00:15,640 Speaker 1: year or write it down more so on checks and 6 00:00:15,680 --> 00:00:18,279 Speaker 1: things like that. Have been twenty five for the first week, 7 00:00:18,800 --> 00:00:21,560 Speaker 1: and Trump is not wasting any time. We had a 8 00:00:22,000 --> 00:00:25,880 Speaker 1: rural health round table this morning, which we shall be 9 00:00:25,920 --> 00:00:29,040 Speaker 1: discussing here shortly. Healthcare is going to be a big deal. 10 00:00:29,280 --> 00:00:33,440 Speaker 1: Caroline Levitt gets into it, gets into it from the 11 00:00:33,440 --> 00:00:38,760 Speaker 1: Podius Feisty. She went mama Bear mode on some well 12 00:00:38,960 --> 00:00:41,400 Speaker 1: left wing hack to borrow from her Oh at the 13 00:00:41,560 --> 00:00:43,559 Speaker 1: with the Hill, a reporter from the Hill. I used 14 00:00:43,600 --> 00:00:47,919 Speaker 1: to work at the Hill long time ago. And yeah, interesting. 15 00:00:48,040 --> 00:00:51,200 Speaker 1: And then there's more on ice here. This is now 16 00:00:51,280 --> 00:00:53,239 Speaker 1: the fight, my friends. This is what it is. They 17 00:00:53,280 --> 00:00:58,440 Speaker 1: can't beat Trump on the economy, they can't slow him down. 18 00:00:58,840 --> 00:01:00,720 Speaker 1: Maybe the Spreme Court will, but they can't slow him 19 00:01:00,720 --> 00:01:04,160 Speaker 1: down on tariffs. But it is in fact on immigration 20 00:01:04,319 --> 00:01:08,000 Speaker 1: enforcement that Democrats are making their big stand. Minnesota at 21 00:01:08,040 --> 00:01:12,000 Speaker 1: the heart of this whole thing, and we'll give you 22 00:01:12,040 --> 00:01:16,720 Speaker 1: more of those details plus Greenland will it become trump Land? 23 00:01:17,680 --> 00:01:19,479 Speaker 1: That is something that is very much in the ether. 24 00:01:19,640 --> 00:01:21,959 Speaker 1: Clan are talking about this. I think we're gonna have 25 00:01:22,000 --> 00:01:24,120 Speaker 1: to do a show from Greenland. This is one of 26 00:01:24,160 --> 00:01:26,119 Speaker 1: these things that I've said out loud and now I'm 27 00:01:26,160 --> 00:01:27,920 Speaker 1: going to make At first I was kidding, and now 28 00:01:27,959 --> 00:01:31,080 Speaker 1: I'm not really kidding. I'm working on this. You have 29 00:01:31,160 --> 00:01:34,040 Speaker 1: been diving into this. I am going to I am 30 00:01:34,080 --> 00:01:39,920 Speaker 1: happy to go. I am going to before what's the 31 00:01:39,959 --> 00:01:43,759 Speaker 1: opposite of Monday morning quarterbacking, I'm going to Friday morning 32 00:01:43,840 --> 00:01:47,600 Speaker 1: quarterback this before even the game is played. You and 33 00:01:47,640 --> 00:01:51,520 Speaker 1: I are going to get to Greenland and no communication 34 00:01:51,600 --> 00:01:54,720 Speaker 1: devices are gonna work. So like we have to bank 35 00:01:55,120 --> 00:01:58,560 Speaker 1: an entire show that airs if we just can't get 36 00:01:58,600 --> 00:02:00,800 Speaker 1: on the air in Greenland right where we just come 37 00:02:00,840 --> 00:02:03,480 Speaker 1: on and we're like, hey, if you're hearing this, probably 38 00:02:03,520 --> 00:02:08,360 Speaker 1: means that we are unconnectable somewhere in Greenland. Like this 39 00:02:08,520 --> 00:02:13,840 Speaker 1: is definitely a danger. I think that you are underestimating 40 00:02:14,240 --> 00:02:19,240 Speaker 1: the telecommunication capacity of NUK, the capital of Greenland. 41 00:02:19,480 --> 00:02:20,440 Speaker 2: I have more faith in that. 42 00:02:21,040 --> 00:02:25,200 Speaker 1: I have no respect in Nook's communication capabilities as it 43 00:02:25,240 --> 00:02:28,200 Speaker 1: pertains to getting us on to five hundred and fifty 44 00:02:28,200 --> 00:02:29,880 Speaker 1: five stations in all fifty states. 45 00:02:29,880 --> 00:02:30,720 Speaker 2: Thank you for listening. 46 00:02:31,200 --> 00:02:33,880 Speaker 1: I have been doing research into this. The best way 47 00:02:33,960 --> 00:02:36,240 Speaker 1: for us to get a real sense of what could be. 48 00:02:36,800 --> 00:02:39,840 Speaker 1: You know how, there's the Gulf of America. Now this 49 00:02:39,960 --> 00:02:43,920 Speaker 1: could be the Greenland of America. We shall see. But 50 00:02:44,000 --> 00:02:47,200 Speaker 1: the best way to check it out is dog sledding, 51 00:02:47,680 --> 00:02:51,560 Speaker 1: which some of our Minnesota listeners perhaps already engage in sometimes. 52 00:02:51,760 --> 00:02:56,359 Speaker 2: But I've dog sledded before you have. Oh yeah. 53 00:02:56,480 --> 00:03:00,480 Speaker 1: Laura Travis is a very big fan, having grown up 54 00:03:00,520 --> 00:03:04,639 Speaker 1: in Michigan of winter related activities, and so one of 55 00:03:04,720 --> 00:03:06,440 Speaker 1: the times when we were out. 56 00:03:06,639 --> 00:03:08,040 Speaker 2: The boys ski. I don't ski. 57 00:03:08,560 --> 00:03:10,880 Speaker 1: I'm a you know, dumb redneck who never got on 58 00:03:10,919 --> 00:03:13,959 Speaker 1: ski slopes as a young guy. So that's one sport 59 00:03:13,960 --> 00:03:17,720 Speaker 1: I don't need to get into. But we got on 60 00:03:17,760 --> 00:03:20,160 Speaker 1: the dog sled and it was super I have to say, 61 00:03:20,200 --> 00:03:23,640 Speaker 1: it was pretty cool, cold cool. You might be back 62 00:03:23,639 --> 00:03:27,200 Speaker 1: on the dog sled, perhaps with some native guides. The 63 00:03:27,240 --> 00:03:29,720 Speaker 1: only thing is I need Laura Travis to give permission here. 64 00:03:29,760 --> 00:03:32,120 Speaker 1: She's gonna have to like sign that this is okay. 65 00:03:32,200 --> 00:03:34,760 Speaker 1: I don't want her mad at me. If you twisted 66 00:03:34,800 --> 00:03:37,240 Speaker 1: an ankle or something on the dog sled, or I'm 67 00:03:37,240 --> 00:03:37,800 Speaker 1: not knowing. 68 00:03:37,560 --> 00:03:38,200 Speaker 2: Where you want to go. 69 00:03:38,320 --> 00:03:40,800 Speaker 1: She's been begging to go to Iceland for some time, 70 00:03:40,880 --> 00:03:44,160 Speaker 1: which has become a very popular tourist destination for people 71 00:03:44,160 --> 00:03:47,600 Speaker 1: who don't know. No one, however, goes to Greenland at all. 72 00:03:47,760 --> 00:03:51,119 Speaker 1: So you and I would be among the first tourists 73 00:03:51,120 --> 00:03:54,280 Speaker 1: to visit Greenland from the United States and the history 74 00:03:54,280 --> 00:03:54,680 Speaker 1: of the nation. 75 00:03:55,480 --> 00:03:57,480 Speaker 2: So that's something that's out there. 76 00:03:57,720 --> 00:03:59,960 Speaker 1: We might wait a little bit because I'm not even 77 00:04:00,000 --> 00:04:01,800 Speaker 1: I'm sure you can get flights there right now. We 78 00:04:01,920 --> 00:04:04,200 Speaker 1: might wait until the summer season there. So this is 79 00:04:04,240 --> 00:04:07,600 Speaker 1: something we'll have to plan out. But clay in Buck's 80 00:04:08,160 --> 00:04:11,880 Speaker 1: excellent Adventure Greenland edition might be something that in fact 81 00:04:11,880 --> 00:04:13,720 Speaker 1: happens on the show. Let's get into the news for 82 00:04:13,760 --> 00:04:17,080 Speaker 1: a second here, Trump talking this morning at this rural 83 00:04:17,160 --> 00:04:19,800 Speaker 1: health roundtable. Why does this matter? Well, healthcare matters to 84 00:04:19,800 --> 00:04:22,880 Speaker 1: all of us. The cost is outrageous, The system is 85 00:04:22,920 --> 00:04:27,000 Speaker 1: a mess. The government intervention in this has been nothing 86 00:04:27,040 --> 00:04:31,680 Speaker 1: but disastrous. They've made it worse. Obamacare made it worse 87 00:04:32,920 --> 00:04:38,159 Speaker 1: across the board, and specifically, rural areas have gotten the 88 00:04:38,160 --> 00:04:40,000 Speaker 1: short end of the stick. On this one, Trump was 89 00:04:40,040 --> 00:04:44,080 Speaker 1: talking about Obamacare. This has cut too specifically and how 90 00:04:44,600 --> 00:04:49,160 Speaker 1: Medicaid spending, for example, it's pretty much all just going 91 00:04:49,200 --> 00:04:51,560 Speaker 1: into the cities, the population centers, and a lot of 92 00:04:51,560 --> 00:04:52,960 Speaker 1: Democrat votes there play two. 93 00:04:53,240 --> 00:04:56,880 Speaker 3: Rural hospitals and communities were devastated by soarign cost and 94 00:04:56,960 --> 00:05:02,320 Speaker 3: that continues despite colossal increase in government spending since Obamacare 95 00:05:02,440 --> 00:05:06,320 Speaker 3: was passed. Only seven percent of the annual Medicaid spending 96 00:05:06,720 --> 00:05:10,520 Speaker 3: on rural hospitals has gone to rural hospitals, so there's 97 00:05:10,600 --> 00:05:11,000 Speaker 3: only a. 98 00:05:11,000 --> 00:05:12,800 Speaker 2: Very little They didn't care. 99 00:05:12,839 --> 00:05:16,120 Speaker 3: Obama didn't care about the rural community, it'd be totally blunt. 100 00:05:16,880 --> 00:05:20,200 Speaker 3: What he did care about is insurance companies. And this 101 00:05:20,400 --> 00:05:23,560 Speaker 3: was a bill to make insurance companies wealthy, and they did. 102 00:05:23,640 --> 00:05:26,960 Speaker 3: They made insurance companies very wealthy. I would say, they 103 00:05:26,960 --> 00:05:30,719 Speaker 3: don't like me too much because they spent hundreds of 104 00:05:30,760 --> 00:05:33,000 Speaker 3: billions of dollars and we're going to have that money 105 00:05:33,040 --> 00:05:35,400 Speaker 3: spent to the people and given to the people, not 106 00:05:35,640 --> 00:05:37,760 Speaker 3: we're going to circumvent the insurance companies. 107 00:05:39,040 --> 00:05:44,080 Speaker 1: Clay he recognizes that if you're talking affordability, the single 108 00:05:44,200 --> 00:05:47,239 Speaker 1: place where I think people are finding the most pain 109 00:05:47,520 --> 00:05:49,840 Speaker 1: over the longest period of time. Is their healthcare costs 110 00:05:49,920 --> 00:05:54,640 Speaker 1: or just outrageous? Yes, and Obamacare is a failure. So, 111 00:05:54,839 --> 00:05:59,279 Speaker 1: by the way, is the argument that if we stopped 112 00:05:59,279 --> 00:06:02,520 Speaker 1: some of these sub cities for Obamacare that remember when 113 00:06:02,800 --> 00:06:04,960 Speaker 1: I this was a big topic of discussion. I do 114 00:06:05,000 --> 00:06:09,800 Speaker 1: think it's important to come back sometimes when these awful 115 00:06:09,880 --> 00:06:13,040 Speaker 1: predictions don't come true and say, hey, remember when we 116 00:06:13,040 --> 00:06:15,919 Speaker 1: were all told. I think that the Democrats said seven 117 00:06:16,000 --> 00:06:20,279 Speaker 1: million people would lose health insurance if the subsidies were 118 00:06:20,320 --> 00:06:24,919 Speaker 1: dialed back for Obamacare. And open enrollment has basically ended, 119 00:06:25,320 --> 00:06:28,960 Speaker 1: and there's about a million less people enrolled in Obamacare 120 00:06:29,120 --> 00:06:30,919 Speaker 1: than were before. And you might say, okay, well a 121 00:06:30,960 --> 00:06:34,279 Speaker 1: million is still a decent number, and okay, but what 122 00:06:34,440 --> 00:06:37,440 Speaker 1: seems to be happening buck is and this is why 123 00:06:37,440 --> 00:06:40,880 Speaker 1: Democrats the fraud is so rampant in all this healthcare. 124 00:06:41,279 --> 00:06:44,120 Speaker 1: A lot of people are getting signed up for Obamacare, 125 00:06:44,240 --> 00:06:48,040 Speaker 1: potentially millions of them, and the healthcare companies are getting 126 00:06:48,080 --> 00:06:52,040 Speaker 1: subsidies and the healthcare is not being used at all. 127 00:06:52,200 --> 00:06:55,640 Speaker 1: So this is real, and I understand a lot of 128 00:06:55,680 --> 00:06:57,320 Speaker 1: people out there gets into the nitty gritty. 129 00:06:57,320 --> 00:06:58,599 Speaker 2: We don't talk about it that much. 130 00:06:59,240 --> 00:07:02,520 Speaker 1: A lot of people that have Obamacare now it appears 131 00:07:02,839 --> 00:07:05,680 Speaker 1: when they basically have to enroll and have to get 132 00:07:05,720 --> 00:07:09,240 Speaker 1: themselves enrolled. The healthcare companies are incentivized to sign up 133 00:07:09,240 --> 00:07:11,400 Speaker 1: as many people as possible so they can take advantage 134 00:07:11,400 --> 00:07:14,080 Speaker 1: of these subsidies. A lot of the people in Obamacare 135 00:07:14,240 --> 00:07:17,559 Speaker 1: never use Obamacare at all. Buck They don't pay even 136 00:07:17,720 --> 00:07:21,040 Speaker 1: five dollars. So the healthcare companies are getting paid to 137 00:07:21,120 --> 00:07:24,480 Speaker 1: cover people who either don't need the coverage or don't 138 00:07:24,480 --> 00:07:26,200 Speaker 1: even know that they have it. 139 00:07:26,240 --> 00:07:29,360 Speaker 2: Does that sound like a good system to you? It's 140 00:07:29,800 --> 00:07:30,840 Speaker 2: waste with fraud. 141 00:07:31,600 --> 00:07:37,840 Speaker 1: It's also not insurance, which we all know from. Do 142 00:07:37,920 --> 00:07:42,560 Speaker 1: I pay more for wind insurance here in Miami where 143 00:07:42,560 --> 00:07:46,400 Speaker 1: we have hurricanes than people will who you know live 144 00:07:46,480 --> 00:07:49,440 Speaker 1: in I don't know. Is Tennessee wind insurance a big thing? 145 00:07:49,480 --> 00:07:55,320 Speaker 1: Clay probably not. Well, we have tornadoes? Oh sorry, a tornadoes? Okay, Well, 146 00:07:55,360 --> 00:07:59,960 Speaker 1: others probably. I would say Vermont, there's not a time 147 00:08:00,040 --> 00:08:02,240 Speaker 1: on a win insurance. I don't think they have very 148 00:08:02,240 --> 00:08:05,320 Speaker 1: many tornadoes, hurricanes typically not hitting Vermont. I would bet 149 00:08:05,440 --> 00:08:07,160 Speaker 1: maybe you guys are gonna blow me up and tell 150 00:08:07,160 --> 00:08:08,920 Speaker 1: me I'm wrong. I would bet that there's not a 151 00:08:08,960 --> 00:08:12,160 Speaker 1: lot of concern about wind damage in Vermont. You know, 152 00:08:12,200 --> 00:08:13,880 Speaker 1: I have a whole plan that we need to just 153 00:08:14,160 --> 00:08:15,280 Speaker 1: make Vermont red right. 154 00:08:15,480 --> 00:08:18,560 Speaker 2: It's not hard. We colonize it very easily. 155 00:08:18,920 --> 00:08:24,400 Speaker 1: Tennessee could lend us enough Republicans easily to colonize Vermont. 156 00:08:24,440 --> 00:08:26,200 Speaker 1: I love Vermont as a state. It's beautiful. I used 157 00:08:26,200 --> 00:08:28,640 Speaker 1: to go to camp there in the summers. I highly 158 00:08:28,720 --> 00:08:30,280 Speaker 1: highly recommend it to any of you if you can 159 00:08:30,360 --> 00:08:33,200 Speaker 1: get there. But it's Bernie Sandersville. I mean, the politics 160 00:08:33,200 --> 00:08:36,800 Speaker 1: there are it's pure COMMI it's beautiful place. Anyway, I'll 161 00:08:36,800 --> 00:08:39,400 Speaker 1: talk about my Vermont planet. I got Greenland, I got 162 00:08:39,400 --> 00:08:41,400 Speaker 1: takeover Vermont for the Republicans. I got a lot of 163 00:08:41,440 --> 00:08:45,120 Speaker 1: things going on here. But back to the healthcare thing, Clay, 164 00:08:45,240 --> 00:08:49,240 Speaker 1: we don't it's not actually insurance because the whole system 165 00:08:49,280 --> 00:08:51,560 Speaker 1: is set up so that people who are young and 166 00:08:51,640 --> 00:08:53,600 Speaker 1: healthy are paying for people who are old and sick. 167 00:08:53,640 --> 00:08:54,800 Speaker 2: It's a transfer of wealth. 168 00:08:55,240 --> 00:09:00,760 Speaker 1: It's a program of incredibly complicated subsidies where the corporations. Also, 169 00:09:01,280 --> 00:09:03,559 Speaker 1: because of the way these Obamacare is written in the 170 00:09:03,559 --> 00:09:06,559 Speaker 1: way a lot of these bills are written up the corporations, 171 00:09:06,600 --> 00:09:12,480 Speaker 1: the companies, the healthcare providers are incentivized to deny a 172 00:09:12,480 --> 00:09:17,680 Speaker 1: lot of claims for people. They're incentivized to make sure 173 00:09:18,320 --> 00:09:22,120 Speaker 1: that they're making a profit as an administrator of healthcare, 174 00:09:22,120 --> 00:09:24,240 Speaker 1: but they don't actually provide healthcare. This is people don't 175 00:09:24,280 --> 00:09:27,840 Speaker 1: understand we have this whole system with so much fraud 176 00:09:27,880 --> 00:09:32,440 Speaker 1: and wasting it. Medicaid fraud annually, Clay, I think they 177 00:09:32,520 --> 00:09:34,120 Speaker 1: estimated is like eighty billion dollars. 178 00:09:35,480 --> 00:09:36,319 Speaker 2: Well, did you see we. 179 00:09:36,280 --> 00:09:38,400 Speaker 1: Talked about this with Scott Besson. He came on and 180 00:09:38,400 --> 00:09:41,400 Speaker 1: echoed Elon Musk. 181 00:09:41,440 --> 00:09:43,680 Speaker 2: Well, he said ten percent of the entire US budget 182 00:09:43,760 --> 00:09:44,200 Speaker 2: is fraud. 183 00:09:44,600 --> 00:09:48,080 Speaker 1: Yes, six hundred to eight hundred billion dollars, depending on 184 00:09:48,160 --> 00:09:50,200 Speaker 1: how you define it as fraud. And he said, we 185 00:09:50,240 --> 00:09:55,160 Speaker 1: could probably increase GDP by a substantial margin if we 186 00:09:55,440 --> 00:10:01,840 Speaker 1: just reallocated those resources outside of the fraud. And so, yeah, 187 00:10:01,880 --> 00:10:04,040 Speaker 1: a huge part of the fraud comes from healthcare, and 188 00:10:04,040 --> 00:10:07,000 Speaker 1: obviously we're seeing a huge part of the fraud comes 189 00:10:07,040 --> 00:10:12,800 Speaker 1: from any number of federal programs which subsidized state fraud. 190 00:10:12,920 --> 00:10:17,200 Speaker 1: Like what really started this whole Minneapolis mess was the 191 00:10:17,240 --> 00:10:21,199 Speaker 1: degree of fraud going on in their daycare system, which 192 00:10:21,280 --> 00:10:25,400 Speaker 1: led to President Trump's decision to surge resources there for 193 00:10:25,480 --> 00:10:28,000 Speaker 1: ice to go after all of the fraud that's taking 194 00:10:28,000 --> 00:10:30,920 Speaker 1: place in that community. We should mention this too. We're 195 00:10:30,920 --> 00:10:34,240 Speaker 1: talking to Ryan Gardesky next hour. He has pointed out 196 00:10:34,320 --> 00:10:37,839 Speaker 1: something that's very significant about this, and we should have 197 00:10:37,880 --> 00:10:40,160 Speaker 1: talked about it. Smart credit to him for thinking of it. 198 00:10:40,840 --> 00:10:46,400 Speaker 1: The amount of deportations that are occurring is potentially going 199 00:10:46,440 --> 00:10:50,520 Speaker 1: to alter to a substantial degree the twenty thirty census 200 00:10:50,640 --> 00:10:57,520 Speaker 1: because remember, for purposes of House of Representatives representation, illegal 201 00:10:57,559 --> 00:11:01,520 Speaker 1: immigrants are counted in the census, roughly seven hundred and 202 00:11:01,520 --> 00:11:06,400 Speaker 1: twenty thousand citizens in each district. In the United States, 203 00:11:06,400 --> 00:11:09,800 Speaker 1: four hundred and thirty five districts they counted legal immigrants. 204 00:11:10,480 --> 00:11:15,320 Speaker 1: This gives Democrats a plus ten or so benefit at 205 00:11:15,400 --> 00:11:18,880 Speaker 1: least in the House. And we're talking about the entire 206 00:11:18,960 --> 00:11:22,880 Speaker 1: House of Representatives being decided by a couple of seats, 207 00:11:23,120 --> 00:11:27,200 Speaker 1: So starting in twenty thirty, that advantage is going to vanish. 208 00:11:27,559 --> 00:11:30,560 Speaker 1: This is one of the big impacts why Democrats are 209 00:11:30,600 --> 00:11:36,040 Speaker 1: fighting so hard. Their rigged system is collapsing around them 210 00:11:36,240 --> 00:11:39,520 Speaker 1: and they're seeing it happen. Trump also saying here that 211 00:11:39,520 --> 00:11:42,800 Speaker 1: they've increased funding for rural health care. You know rural 212 00:11:42,880 --> 00:11:45,600 Speaker 1: tends to mean red in this country. This has cut one. 213 00:11:45,720 --> 00:11:46,960 Speaker 1: Listen to what the man has to say. 214 00:11:47,200 --> 00:11:50,720 Speaker 3: As part of the great, big, beautiful bill, where increased 215 00:11:50,760 --> 00:11:54,080 Speaker 3: and we have increased funding for the healthcare by an 216 00:11:54,240 --> 00:12:00,640 Speaker 3: unprecedented fifty billion dollars. That's rural healthcare that was going 217 00:12:00,720 --> 00:12:03,600 Speaker 3: to happen, and we got it done. So we have 218 00:12:03,800 --> 00:12:06,520 Speaker 3: rural health care. For those that were trying to make 219 00:12:06,559 --> 00:12:09,240 Speaker 3: a case that we weren't taking care of the rural community, 220 00:12:09,320 --> 00:12:11,839 Speaker 3: I'm all about the rural community. We won the rural 221 00:12:11,840 --> 00:12:14,960 Speaker 3: communities by numbers that nobody's ever won them before, and 222 00:12:15,000 --> 00:12:16,680 Speaker 3: we're taking care of those great people. 223 00:12:17,440 --> 00:12:18,560 Speaker 2: So we already did this. 224 00:12:18,720 --> 00:12:22,600 Speaker 3: We increased funding for rural health care by an unprecedented 225 00:12:22,679 --> 00:12:26,920 Speaker 3: record setting fifty billion dollars over five years, which will 226 00:12:26,960 --> 00:12:29,640 Speaker 3: benefit Americans in all fifty cents. 227 00:12:30,800 --> 00:12:34,480 Speaker 1: It's a big deal. Clay Trump fody able to do 228 00:12:34,520 --> 00:12:36,160 Speaker 1: what needs to be done. Here, go ahead, he yeah. 229 00:12:36,160 --> 00:12:37,920 Speaker 1: I'll hit you with the data when we come back, 230 00:12:38,120 --> 00:12:41,400 Speaker 1: because I pulled this up the headline in the Wall 231 00:12:41,440 --> 00:12:42,800 Speaker 1: Street Journal editorial page. 232 00:12:42,840 --> 00:12:44,280 Speaker 2: I'll hit you with some of these numbers. 233 00:12:44,320 --> 00:12:48,240 Speaker 1: But the editorial is headlined the Obamacare Apocalypse that wasn't 234 00:12:48,679 --> 00:12:51,880 Speaker 1: They told you that if these subsidies were dialed back, 235 00:12:52,200 --> 00:12:55,319 Speaker 1: that there would be a huge cataclysmic impact on American 236 00:12:55,360 --> 00:12:57,480 Speaker 1: health care. It didn't happen. The Wall Street journals got 237 00:12:57,520 --> 00:12:59,280 Speaker 1: the numbers. 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Trust 256 00:14:03,600 --> 00:14:07,559 Speaker 1: me on this Cozy Earth. Check out the website today. 257 00:14:07,600 --> 00:14:11,200 Speaker 1: You will love the products. Cozyearth dot com promo code Clay. 258 00:14:12,280 --> 00:14:16,520 Speaker 1: Making America great again isn't just one man, It's many. 259 00:14:16,760 --> 00:14:20,400 Speaker 1: The Team forty seven podcast Sunday's at noon Eastern in 260 00:14:20,600 --> 00:14:21,160 Speaker 1: the Clay and. 261 00:14:21,240 --> 00:14:22,360 Speaker 2: Buck podcast feed. 262 00:14:22,520 --> 00:14:25,480 Speaker 1: Find it on the iHeartRadio app or wherever you get 263 00:14:25,520 --> 00:14:30,040 Speaker 1: your podcasts. Welcome back in Clay Travis Buck Sexton Show. Okay, 264 00:14:31,000 --> 00:14:33,760 Speaker 1: Wall Street Journal, I just mentioned this, and again I 265 00:14:33,840 --> 00:14:36,160 Speaker 1: understand a lot of you don't necessarily get into the 266 00:14:36,160 --> 00:14:41,800 Speaker 1: weeds of healthcare policy. But basically, the shutdown happened because 267 00:14:41,880 --> 00:14:47,120 Speaker 1: Democrats said, this is going to be an unmitigated disaster 268 00:14:47,520 --> 00:14:51,960 Speaker 1: if we don't continue subsidies for Obamacare. So open enrollment 269 00:14:52,120 --> 00:14:56,800 Speaker 1: ended Thursday, that is yesterday. According to the Wall Street Journal, 270 00:14:57,720 --> 00:15:02,600 Speaker 1: we have about one point four million fewer people who 271 00:15:02,760 --> 00:15:06,520 Speaker 1: signed up compared to the twenty twenty five number. Okay, 272 00:15:07,120 --> 00:15:11,920 Speaker 1: the Urban Institute said that it would drop by seven 273 00:15:11,960 --> 00:15:18,640 Speaker 1: point three million. The Congressional Business Budget Office presumed huge 274 00:15:18,760 --> 00:15:22,600 Speaker 1: drops in the number of people that would drop out, 275 00:15:22,680 --> 00:15:28,560 Speaker 1: and so the decline, according to the Trump administration, happened 276 00:15:28,840 --> 00:15:33,720 Speaker 1: because they cracked down on fraud and the paragon. This guy, 277 00:15:34,040 --> 00:15:39,400 Speaker 1: Brian Blasee, says that about twelve million Obamacare enrollees have 278 00:15:39,560 --> 00:15:43,320 Speaker 1: no medical claims, suggesting they may have been enrolled in 279 00:15:43,400 --> 00:15:48,520 Speaker 1: plans without their knowledge. Fraud may also explain why enrollment 280 00:15:48,680 --> 00:15:49,880 Speaker 1: hasn't fallen more. 281 00:15:50,080 --> 00:15:54,680 Speaker 2: Think about that, Buck, If you have twenty four million. 282 00:15:54,320 --> 00:15:58,960 Speaker 1: People signed up for Obamacare, doesn't it seem crazy that 283 00:15:59,120 --> 00:16:03,400 Speaker 1: half of those people people would have no healthcare claims whatsoever? 284 00:16:05,440 --> 00:16:07,680 Speaker 2: Yes? In a year? Does I mean? 285 00:16:07,720 --> 00:16:11,520 Speaker 1: Think about your life, whatever you do for healthcare. I 286 00:16:11,600 --> 00:16:15,040 Speaker 1: bet almost everybody out there listening to us at least 287 00:16:15,080 --> 00:16:15,720 Speaker 1: spent a. 288 00:16:15,920 --> 00:16:17,479 Speaker 2: Dollar with healthcare. 289 00:16:17,800 --> 00:16:23,000 Speaker 1: All Republicans are saying is in order to be automatically enrolled, 290 00:16:23,240 --> 00:16:25,840 Speaker 1: we think you should have to spend five dollars on 291 00:16:25,960 --> 00:16:29,480 Speaker 1: healthcare every year. I think what's happened here with Obamacare, Buck, 292 00:16:30,120 --> 00:16:35,320 Speaker 1: is it is a huge fraud laced program, and healthcare 293 00:16:35,440 --> 00:16:39,280 Speaker 1: companies are getting free rides because they're signing up people 294 00:16:39,360 --> 00:16:43,760 Speaker 1: left and right. They're cashing all these subsidy checks without 295 00:16:43,920 --> 00:16:47,800 Speaker 1: actually covering people. Because it doesn't make sense that twelve 296 00:16:47,880 --> 00:16:51,440 Speaker 1: million people would not have a single health care claim 297 00:16:51,800 --> 00:16:55,720 Speaker 1: on Obamacare if it were so integral to overall healthcare 298 00:16:55,720 --> 00:16:59,280 Speaker 1: in America. Right, Sometimes the math just doesn't add up. Again, 299 00:16:59,280 --> 00:17:02,840 Speaker 1: these are data from the Wall Street Journal. The more 300 00:17:02,880 --> 00:17:05,240 Speaker 1: they dig into this, the more you're going to see 301 00:17:05,359 --> 00:17:07,640 Speaker 1: what a mess the whole thing is. And this has 302 00:17:07,640 --> 00:17:09,800 Speaker 1: been said all along. I'll just point out those of 303 00:17:09,880 --> 00:17:14,479 Speaker 1: us who were ringing the alarm bell about Obamacare a 304 00:17:14,520 --> 00:17:18,119 Speaker 1: decade and a half ago, basically wherever thirteen years ago, 305 00:17:19,760 --> 00:17:22,119 Speaker 1: it's all true. Everything we've said is true. Your healthcare 306 00:17:22,160 --> 00:17:25,359 Speaker 1: has just gotten more expensive, access has gotten worse. There's 307 00:17:25,400 --> 00:17:28,240 Speaker 1: more government spending involved, so you're paying for more with 308 00:17:28,320 --> 00:17:31,080 Speaker 1: your taxes, you're paying for more with your premiums. You're 309 00:17:31,119 --> 00:17:33,919 Speaker 1: getting worse care, you're having longer waits, all of it 310 00:17:33,920 --> 00:17:37,439 Speaker 1: gets worse. So that illegals can be covered. I mean, 311 00:17:38,119 --> 00:17:40,639 Speaker 1: let's really get into this, so that healthcare companies can 312 00:17:41,040 --> 00:17:43,280 Speaker 1: not the place, not the people that are actually like 313 00:17:43,560 --> 00:17:47,080 Speaker 1: fixing you, the places that determine who gets to fix 314 00:17:47,160 --> 00:17:49,840 Speaker 1: you so that their profits are nice and fat, so 315 00:17:49,920 --> 00:17:53,840 Speaker 1: that hospital systems can become these massive private equity owned 316 00:17:55,160 --> 00:17:56,440 Speaker 1: you know, profit centers. 317 00:17:56,520 --> 00:17:58,640 Speaker 2: Oh there's so much here. There's so much here. 318 00:17:58,800 --> 00:18:01,040 Speaker 1: If having more energy is your goal this year, get 319 00:18:01,080 --> 00:18:02,160 Speaker 1: a subscription to Chalk. 320 00:18:02,240 --> 00:18:03,240 Speaker 2: My friends, I've got. 321 00:18:03,080 --> 00:18:05,560 Speaker 1: My chalk right here with me in the studio. 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Welcome back 339 00:18:54,760 --> 00:18:56,680 Speaker 1: in here too, Clay and buck. 340 00:18:57,080 --> 00:18:57,240 Speaker 2: Uh. 341 00:18:57,400 --> 00:19:04,520 Speaker 1: Things continuing to heat up over immigrations and customs enforcement 342 00:19:05,560 --> 00:19:06,680 Speaker 1: in Minnesota. 343 00:19:07,080 --> 00:19:13,000 Speaker 2: Democrats making this there now is it their waterloo or 344 00:19:13,000 --> 00:19:13,919 Speaker 2: our waterloo? Right? 345 00:19:14,160 --> 00:19:16,320 Speaker 1: All depends which side of waterloo are you on, the 346 00:19:16,359 --> 00:19:19,560 Speaker 1: Napoleon side or the other side, the Wellington side of things. 347 00:19:19,920 --> 00:19:24,280 Speaker 1: But they're making this their big stand against the Trump administration. 348 00:19:24,680 --> 00:19:29,160 Speaker 1: And we've seen some really outrageous things, you know. To Clay, 349 00:19:29,200 --> 00:19:32,080 Speaker 1: there was the breaking into an FBI car and they 350 00:19:32,080 --> 00:19:34,840 Speaker 1: stole I believe a long gun like an AR fifteen 351 00:19:34,880 --> 00:19:38,160 Speaker 1: type rifle out of the car. That you do, they've 352 00:19:38,240 --> 00:19:40,800 Speaker 1: arrested that guy. You do not want to steal a 353 00:19:40,880 --> 00:19:43,920 Speaker 1: FBI agent's gun. They will they will not take kindly 354 00:19:43,960 --> 00:19:45,959 Speaker 1: to that. That is a serious crime and you will 355 00:19:46,000 --> 00:19:47,840 Speaker 1: get into a and as you should, get into a 356 00:19:47,880 --> 00:19:52,280 Speaker 1: lot of trouble for it. Scott Jennings up on a 357 00:19:52,280 --> 00:19:56,760 Speaker 1: CNN making the case here that the government officials in 358 00:19:56,800 --> 00:20:00,680 Speaker 1: Minnesota are inciting I mean they're actually ma this whole 359 00:20:00,720 --> 00:20:03,640 Speaker 1: situation worse. This has cut seventeen Listen to our man 360 00:20:03,720 --> 00:20:04,800 Speaker 1: Scott laying it down. 361 00:20:05,080 --> 00:20:08,240 Speaker 4: The accusation has been by conservatives, including by you Scott, 362 00:20:08,280 --> 00:20:10,360 Speaker 4: that he's been inciting violence. 363 00:20:10,520 --> 00:20:12,560 Speaker 2: But we just played it there. 364 00:20:12,880 --> 00:20:15,160 Speaker 4: Okay, you cherry picked a handful of comments. 365 00:20:15,200 --> 00:20:16,480 Speaker 2: Did you play the comment. 366 00:20:16,240 --> 00:20:18,679 Speaker 4: Where he said we're under a federal occupation. 367 00:20:19,480 --> 00:20:22,120 Speaker 2: That language that inciting good? Of course it is. 368 00:20:22,200 --> 00:20:24,760 Speaker 4: What does that language sound like to you? You have 369 00:20:25,440 --> 00:20:28,560 Speaker 4: wolves and Fry and Flannagan and the rest of these 370 00:20:28,560 --> 00:20:35,320 Speaker 4: Democrats in Minnesota radicalizing and propagandizing their constituency telling them things. 371 00:20:35,160 --> 00:20:35,920 Speaker 2: That aren't true. 372 00:20:35,960 --> 00:20:38,800 Speaker 4: And what has happened. One lady went out and got 373 00:20:38,840 --> 00:20:41,480 Speaker 4: into a very very sad and unfortunate situation. 374 00:20:41,640 --> 00:20:42,680 Speaker 2: Three Venezuelan. 375 00:20:43,000 --> 00:20:44,920 Speaker 4: The illegals came out and tried to beat an ICE 376 00:20:44,960 --> 00:20:47,960 Speaker 4: agent to death with a shovel. Hordes of people in 377 00:20:48,000 --> 00:20:52,600 Speaker 4: the street vandalized and raided ICE vehicles and stole weapons, 378 00:20:52,680 --> 00:20:56,280 Speaker 4: kevlar and documents and docks. People on the internet last night, 379 00:20:56,320 --> 00:20:58,479 Speaker 4: do you believe they are listening to Tim Walls when 380 00:20:58,480 --> 00:21:00,399 Speaker 4: he talks about peace or do you think they're listening 381 00:21:00,440 --> 00:21:00,840 Speaker 4: to Tim. 382 00:21:03,040 --> 00:21:03,840 Speaker 2: Federal Gune. 383 00:21:05,280 --> 00:21:09,560 Speaker 1: Good points there from Scott. They are clearly using language 384 00:21:09,560 --> 00:21:13,159 Speaker 1: that is meant to inflame this situation, to make it worse. 385 00:21:13,640 --> 00:21:17,480 Speaker 1: Stephen Miller, he's straight up calling them. Steven Miller's great, 386 00:21:17,600 --> 00:21:19,960 Speaker 1: He's great. Have you seen the clips that are circulating 387 00:21:20,040 --> 00:21:22,359 Speaker 1: just as an aside of Steven Miller when he was 388 00:21:22,359 --> 00:21:24,960 Speaker 1: at Duke and the Duke Lacrosse case, and he don't 389 00:21:24,960 --> 00:21:27,199 Speaker 1: want to take a shot at Stephen here, but he 390 00:21:27,280 --> 00:21:30,520 Speaker 1: had hair and Steven Miller with hair is a very 391 00:21:30,560 --> 00:21:34,680 Speaker 1: different image than Steven Miller without hair. But yes, he 392 00:21:34,760 --> 00:21:36,800 Speaker 1: was one hundred percent right. For those of you who 393 00:21:36,840 --> 00:21:41,639 Speaker 1: remember the fake accusations, one hundred percent false against the 394 00:21:41,720 --> 00:21:46,040 Speaker 1: Duke Lacrosse kids when they were accused of raping strippers, 395 00:21:46,040 --> 00:21:50,080 Speaker 1: black strippers, white across. Oh my god, they were. They 396 00:21:50,119 --> 00:21:53,040 Speaker 1: were immediately tarred and feathered. That was even buck in 397 00:21:53,119 --> 00:21:56,760 Speaker 1: a pre social media era. Yeah, because I don't even 398 00:21:56,800 --> 00:21:58,439 Speaker 1: know how that case would have played out in a 399 00:21:58,480 --> 00:22:03,080 Speaker 1: social media era, but it was. I think fantastic lies 400 00:22:03,200 --> 00:22:06,000 Speaker 1: were what one of the players said about those accusations, 401 00:22:06,000 --> 00:22:09,160 Speaker 1: and Stevin Miller was on calling out it for bs. 402 00:22:09,600 --> 00:22:10,359 Speaker 2: He was right on that. 403 00:22:10,440 --> 00:22:13,600 Speaker 1: Even back in the day I remember that one, even 404 00:22:13,640 --> 00:22:15,800 Speaker 1: talking among friends and family being like that, the whole 405 00:22:15,800 --> 00:22:17,879 Speaker 1: thing's a lie. It was very obvious, but the New 406 00:22:17,960 --> 00:22:20,119 Speaker 1: York Times front page kept hitting it as though it 407 00:22:20,160 --> 00:22:24,280 Speaker 1: was a story of race and class playing out once 408 00:22:24,320 --> 00:22:26,280 Speaker 1: again as it always does. No, the whole thing's a lie. 409 00:22:26,359 --> 00:22:27,959 Speaker 1: That's not how it plays out. Actually the whole thing 410 00:22:28,000 --> 00:22:30,560 Speaker 1: was false anyways, Steven Miller, that clip has been circulating 411 00:22:30,600 --> 00:22:32,919 Speaker 1: here he is talking about the insurrectionist This is cut 412 00:22:33,160 --> 00:22:34,879 Speaker 1: nineteen in Minnesota. 413 00:22:35,000 --> 00:22:40,560 Speaker 5: Hit it in Minnesota. Right now. The insurrectionists have come 414 00:22:40,560 --> 00:22:43,840 Speaker 5: out of hiding. They're confronting our officers on the street. 415 00:22:44,560 --> 00:22:49,360 Speaker 5: They're being arrested. This is a national security priority. More 416 00:22:49,440 --> 00:22:53,800 Speaker 5: arrests the disrectionists are being made every day, and each 417 00:22:53,840 --> 00:22:57,240 Speaker 5: of those are rests. That provides an opportunity to learn 418 00:22:57,280 --> 00:23:01,600 Speaker 5: more about the net work from in law enforcement and 419 00:23:01,720 --> 00:23:03,480 Speaker 5: national security standpoint. 420 00:23:05,160 --> 00:23:09,560 Speaker 1: Yep insurrectionist clay. When you're attacking law enforcement in a 421 00:23:09,640 --> 00:23:13,399 Speaker 1: group in ambush situations to prevent them from doing what 422 00:23:13,960 --> 00:23:17,800 Speaker 1: you oppose, both locally and at a national level, it 423 00:23:17,840 --> 00:23:21,960 Speaker 1: does feel pretty insurrection y. And Trump has even said 424 00:23:22,040 --> 00:23:24,560 Speaker 1: if this doesn't stop, he will invoke the Insurrection Act. 425 00:23:25,240 --> 00:23:27,800 Speaker 1: Well not only that buck, and I think President Trump 426 00:23:27,840 --> 00:23:33,520 Speaker 1: is right about this. Think about how crazy these left 427 00:23:33,560 --> 00:23:39,439 Speaker 1: wing activists are to be showing up in ten degree 428 00:23:39,520 --> 00:23:44,800 Speaker 1: weather engaging in acts of violence against people who did 429 00:23:44,840 --> 00:23:46,879 Speaker 1: you see the Department of Whole Land Security just posted 430 00:23:46,920 --> 00:23:48,560 Speaker 1: a video or sorry, a photo. 431 00:23:48,680 --> 00:23:49,880 Speaker 2: I'm sure probably a video too. 432 00:23:49,880 --> 00:23:52,800 Speaker 1: But I saw the photo of one of the guys 433 00:23:52,800 --> 00:23:57,160 Speaker 1: that they arrested for engaging in violence of Venezuela illegal 434 00:23:57,240 --> 00:24:00,480 Speaker 1: that should have never been here. Now, look, should never 435 00:24:00,560 --> 00:24:04,120 Speaker 1: judge a book by its cover, I will say, however, 436 00:24:04,520 --> 00:24:06,400 Speaker 1: all right, I mean, I don't know how many people 437 00:24:06,400 --> 00:24:08,159 Speaker 1: out there in our audience. 438 00:24:07,760 --> 00:24:11,280 Speaker 2: Are covers, say a lot some covers tell you this 439 00:24:11,400 --> 00:24:15,840 Speaker 2: cover if you have if you have face. 440 00:24:15,600 --> 00:24:20,640 Speaker 1: Tattoos, what do you think the rate of violent crime 441 00:24:20,960 --> 00:24:25,720 Speaker 1: is for face tattoo guy compared to non face type 442 00:24:25,760 --> 00:24:27,879 Speaker 1: tattoo ten x the general I was going to say 443 00:24:27,880 --> 00:24:30,840 Speaker 1: one hundred to one, one hundred times as likely. I 444 00:24:30,840 --> 00:24:34,760 Speaker 1: think I think if you have a face tattoo, I 445 00:24:34,760 --> 00:24:38,160 Speaker 1: think you are one hundred times as likely. It's all men, 446 00:24:38,240 --> 00:24:40,000 Speaker 1: by the way, I don't think that many chicks have 447 00:24:40,080 --> 00:24:43,360 Speaker 1: face tattoos. If you are a man with a face tattoo, 448 00:24:44,160 --> 00:24:46,679 Speaker 1: I think you are one hundred times as likely to 449 00:24:46,800 --> 00:24:50,280 Speaker 1: have committed a violent crime or have a violent criminal 450 00:24:50,359 --> 00:24:53,400 Speaker 1: history as someone that does not have a face tattoo. 451 00:24:53,840 --> 00:24:55,840 Speaker 1: And I think that might even be low Buck was 452 00:24:55,880 --> 00:24:58,440 Speaker 1: going to go ten and when I say, you look 453 00:24:58,480 --> 00:25:02,280 Speaker 1: at this guy, and he got a arrested and Tommy 454 00:25:02,359 --> 00:25:07,280 Speaker 1: larn posted a response on this. But who the faces 455 00:25:07,400 --> 00:25:12,000 Speaker 1: are of the arguments you make matter? And the fact 456 00:25:12,040 --> 00:25:17,160 Speaker 1: that Democrats are consistently picking guys with violent crimes, who 457 00:25:17,200 --> 00:25:21,199 Speaker 1: are illegally in this country to be their face of 458 00:25:21,359 --> 00:25:24,840 Speaker 1: opposition is not helping them. 459 00:25:25,000 --> 00:25:28,600 Speaker 2: I think in general, now here is the challenge. 460 00:25:28,600 --> 00:25:30,920 Speaker 1: Because I was reading from Axios this morning on it Buck, 461 00:25:32,320 --> 00:25:36,720 Speaker 1: Democrats are having some success in convincing people who are 462 00:25:36,760 --> 00:25:39,359 Speaker 1: not like most of our listeners and are not like 463 00:25:39,440 --> 00:25:44,200 Speaker 1: you and me, that this ice, these ice raids are 464 00:25:45,000 --> 00:25:51,639 Speaker 1: unacceptable and politically unpopular, and so I think that the 465 00:25:51,760 --> 00:25:55,520 Speaker 1: question Axios This was the Axios lead in their Morning 466 00:25:55,600 --> 00:25:57,280 Speaker 1: Digest that I was reading this morning as I was 467 00:25:57,280 --> 00:26:00,120 Speaker 1: getting ready for the show. I think the question is 468 00:26:00,119 --> 00:26:04,560 Speaker 1: is how do you combat this idea that the left 469 00:26:04,600 --> 00:26:08,640 Speaker 1: has put in place that these are innocent people primarily 470 00:26:08,720 --> 00:26:11,679 Speaker 1: that are being taken out of the country when I 471 00:26:11,680 --> 00:26:14,600 Speaker 1: think the reality is most of the people that are 472 00:26:14,600 --> 00:26:18,560 Speaker 1: being taken out of the country are violent perpetrators that 473 00:26:18,640 --> 00:26:21,000 Speaker 1: we know they are criminals because they are legally here, 474 00:26:21,080 --> 00:26:24,040 Speaker 1: so they certainly are criminals. But I do think that's 475 00:26:24,040 --> 00:26:26,520 Speaker 1: the question. I don't think Democrats have gotten the right 476 00:26:26,640 --> 00:26:30,760 Speaker 1: face of the anti ICE protest yet. I think they 477 00:26:30,800 --> 00:26:34,080 Speaker 1: wanted Renee Good to be that face. They've used her more. 478 00:26:34,400 --> 00:26:36,920 Speaker 1: It's better, I think, probably for them than killmar A 479 00:26:37,000 --> 00:26:40,919 Speaker 1: Breo Garcia or certainly these dudes who were arrested that 480 00:26:40,960 --> 00:26:45,520 Speaker 1: got into that one of them was shot in Minneapolis. 481 00:26:45,960 --> 00:26:49,600 Speaker 1: But did you see Jacob for I come out and say, basically, 482 00:26:49,640 --> 00:26:51,960 Speaker 1: we only have six hundred cops and we've got three 483 00:26:52,040 --> 00:26:54,600 Speaker 1: thousand ICE agents in the country. Maybe we'll play that 484 00:26:54,640 --> 00:26:56,600 Speaker 1: cut for you later in the show or in the 485 00:26:56,600 --> 00:26:59,080 Speaker 1: city rather. Yeah, yeah, yeah, and the city. One reason 486 00:26:59,080 --> 00:27:01,280 Speaker 1: they only have six hundred cops is because they can't 487 00:27:01,320 --> 00:27:06,600 Speaker 1: fill the existing police officer openings, because they've been so 488 00:27:06,880 --> 00:27:12,280 Speaker 1: disrespectful and lacking in backing up their police officers that 489 00:27:12,359 --> 00:27:14,280 Speaker 1: if you could choose, like hey, do I want to 490 00:27:14,280 --> 00:27:17,080 Speaker 1: be in Minneapolis or do I want to be in Miami, 491 00:27:17,480 --> 00:27:19,920 Speaker 1: you know, hey, I think I'd rather be a cop 492 00:27:19,920 --> 00:27:22,919 Speaker 1: in Miami. They'll actually have my back. There are lots 493 00:27:22,920 --> 00:27:26,320 Speaker 1: of places out there where cops are supported. Minneapolis is 494 00:27:26,320 --> 00:27:27,280 Speaker 1: not one of those places. 495 00:27:28,440 --> 00:27:30,320 Speaker 2: You know how many murders there were in. 496 00:27:31,880 --> 00:27:35,119 Speaker 1: The city of Miami clay and I think it was 497 00:27:35,240 --> 00:27:37,600 Speaker 1: last well, twenty twenty four is the last one that 498 00:27:37,600 --> 00:27:41,280 Speaker 1: we have. The full crime data for Miami has about 499 00:27:41,320 --> 00:27:44,639 Speaker 1: six hundred thousand people in it. There are thirty homicides 500 00:27:44,640 --> 00:27:45,200 Speaker 1: in Miami. 501 00:27:46,680 --> 00:27:50,160 Speaker 2: Not all. That's pretty incredible. It's just not a lot 502 00:27:50,160 --> 00:27:51,880 Speaker 2: of by the way going on here. 503 00:27:52,160 --> 00:27:54,040 Speaker 1: What you would say, what I would build on top 504 00:27:54,080 --> 00:27:56,080 Speaker 1: of that is city of Miami might have six hundred 505 00:27:56,080 --> 00:27:59,359 Speaker 1: thousand people. Actually, the Miami proper is probably what like 506 00:27:59,400 --> 00:28:02,400 Speaker 1: five or six million would be my guess. Metro Miami 507 00:28:02,480 --> 00:28:05,280 Speaker 1: is probably five or six million, would be my guess. 508 00:28:05,880 --> 00:28:06,360 Speaker 2: Yeah, I bet. 509 00:28:06,520 --> 00:28:08,320 Speaker 1: Really, you could just do it with Miami Dade County, 510 00:28:08,359 --> 00:28:10,800 Speaker 1: which with Miami Dade has three million people, so it's 511 00:28:10,800 --> 00:28:15,560 Speaker 1: about three million. So I bet the surrounding community of Miami, 512 00:28:15,960 --> 00:28:18,960 Speaker 1: if you take in the metropolitan area, I bet there 513 00:28:19,040 --> 00:28:22,920 Speaker 1: was only buck sixty five murders in all of Miami 514 00:28:22,960 --> 00:28:26,080 Speaker 1: when you add up all, that's my guests in all 515 00:28:26,119 --> 00:28:29,840 Speaker 1: of Miami Metropolitan proper. In other words, it's not just 516 00:28:29,880 --> 00:28:34,160 Speaker 1: the city Miami Proper that's safe. It is my goodness 517 00:28:34,600 --> 00:28:38,720 Speaker 1: that area in general is super super safe. And that 518 00:28:38,840 --> 00:28:40,840 Speaker 1: is the case. For instance, where I live in Nashville. 519 00:28:41,240 --> 00:28:46,680 Speaker 1: Nashville had seventy murders. Metro Nashville had like seventy three. Right, 520 00:28:46,720 --> 00:28:49,880 Speaker 1: So if you actually count outside of the downtown district 521 00:28:49,920 --> 00:28:53,800 Speaker 1: and combine everybody who lives there, there's basically no murders 522 00:28:54,000 --> 00:28:56,160 Speaker 1: like taking place. I think we had a sixty year 523 00:28:56,200 --> 00:28:59,800 Speaker 1: low in Nashville. Here here we have a wonderful thing 524 00:29:00,400 --> 00:29:03,479 Speaker 1: where and it's even more so. And I have friends 525 00:29:03,480 --> 00:29:06,760 Speaker 1: on the Miami Beach Police Department specifically, which is a 526 00:29:06,760 --> 00:29:08,720 Speaker 1: different city technical than By the way, there were no 527 00:29:09,600 --> 00:29:11,640 Speaker 1: actually say no, I mean if there were if there 528 00:29:11,640 --> 00:29:12,520 Speaker 1: were any murders. 529 00:29:12,280 --> 00:29:13,960 Speaker 2: In Miami Beach last year, it was like three. 530 00:29:14,560 --> 00:29:16,680 Speaker 1: It was very very few, because they usually fold that 531 00:29:16,720 --> 00:29:20,000 Speaker 1: in with Miami overall. To your point, but here here's 532 00:29:20,040 --> 00:29:23,760 Speaker 1: why this matters policy wise, why it matters from Minneapolis, 533 00:29:23,800 --> 00:29:25,160 Speaker 1: and why it's part of our discussion. 534 00:29:25,800 --> 00:29:26,080 Speaker 2: Play. 535 00:29:26,240 --> 00:29:29,719 Speaker 1: You have support for the cops in the city of 536 00:29:29,760 --> 00:29:33,960 Speaker 1: Miami and in the state of Florida from Governor Ron 537 00:29:33,960 --> 00:29:37,880 Speaker 1: De Santis and Attorney General Uth Meyer on down. So 538 00:29:37,920 --> 00:29:40,120 Speaker 1: they know if you're doing if you're a cop here, 539 00:29:40,680 --> 00:29:43,480 Speaker 1: first of all, they like you, We like you, Thank 540 00:29:43,520 --> 00:29:45,160 Speaker 1: you for doing what you're doing. This is true across 541 00:29:45,160 --> 00:29:47,520 Speaker 1: the state of Florida. And if you're. 542 00:29:47,400 --> 00:29:49,960 Speaker 2: Doing the right things, they've got your back. Yes, and 543 00:29:49,960 --> 00:29:51,560 Speaker 2: there's not there's not gonna be in this nonsense. You're 544 00:29:51,560 --> 00:29:52,080 Speaker 2: seeing these. 545 00:29:51,960 --> 00:29:55,640 Speaker 1: Other places where we throw cops to the angry mob. 546 00:29:55,760 --> 00:29:59,600 Speaker 1: That's some sort of a race communism, offering to the 547 00:29:59,640 --> 00:30:02,680 Speaker 1: god something. We don't do that here, no doubt. And 548 00:30:03,200 --> 00:30:06,480 Speaker 1: by the way, the impact is tangible in the data. 549 00:30:06,560 --> 00:30:10,000 Speaker 1: As many things are positive, it's not getting that much 550 00:30:10,040 --> 00:30:12,440 Speaker 1: attention to the grand scheme of things. Not only is 551 00:30:12,480 --> 00:30:15,960 Speaker 1: the murder rate collapsing nationwide, the biggest drop that we've 552 00:30:16,000 --> 00:30:21,040 Speaker 1: ever seen according to FBI data. How about buck We'll 553 00:30:21,040 --> 00:30:23,000 Speaker 1: talk about this maybe a little bit later, and certainly 554 00:30:23,040 --> 00:30:26,680 Speaker 1: it's a big story worth paying attention to. Fentanyl deaths, 555 00:30:27,240 --> 00:30:31,200 Speaker 1: that is, overdose deaths are collapsing in the United States. 556 00:30:31,840 --> 00:30:35,120 Speaker 1: One of the biggest drops we have ever seen just 557 00:30:35,160 --> 00:30:38,959 Speaker 1: took place in twenty twenty five do you think that 558 00:30:39,120 --> 00:30:43,080 Speaker 1: maybe possibly shutting down the southern border and making it 559 00:30:43,160 --> 00:30:46,880 Speaker 1: harder for people to cross into this country, do you 560 00:30:46,960 --> 00:30:50,760 Speaker 1: think that, maybe possibly that might have had a big 561 00:30:50,800 --> 00:30:54,479 Speaker 1: impact on the safety of so many people in this 562 00:30:54,520 --> 00:30:58,600 Speaker 1: country when it comes to drug overdose deaths, poisonings, very 563 00:30:58,640 --> 00:31:01,280 Speaker 1: often the case. By the way, we'll hit you with 564 00:31:01,320 --> 00:31:05,560 Speaker 1: this and maybe some analysis. This just popped President Trump. 565 00:31:05,640 --> 00:31:09,040 Speaker 1: We've been talking about the tension in Iran, President Trump 566 00:31:09,240 --> 00:31:14,240 Speaker 1: tweeting or truthing. I suppose I greatly respect the fact 567 00:31:14,320 --> 00:31:18,280 Speaker 1: that all scheduled hangings which were to take place yesterday, 568 00:31:18,720 --> 00:31:22,840 Speaker 1: over eight hundred of them, have been canceled by the 569 00:31:22,960 --> 00:31:24,600 Speaker 1: leadership of Iran. 570 00:31:25,280 --> 00:31:25,680 Speaker 2: Thank you. 571 00:31:27,200 --> 00:31:29,720 Speaker 1: A little bit of an interesting Uh again, you never 572 00:31:29,800 --> 00:31:33,160 Speaker 1: know what exactly Trump has got planned, because there is 573 00:31:33,280 --> 00:31:39,120 Speaker 1: a carrier, I think Storming, Steaming, maybe Storming. Abraham lincoln 574 00:31:39,720 --> 00:31:43,760 Speaker 1: favorite aircraft carrier as my favorite. Good Old named one 575 00:31:43,800 --> 00:31:48,120 Speaker 1: of his sons after the carrier or the president. Yeah, 576 00:31:48,120 --> 00:31:51,000 Speaker 1: that's right, my middle son. But so we'll see whether 577 00:31:51,120 --> 00:31:53,640 Speaker 1: this is a little bit of a dial back that 578 00:31:53,760 --> 00:31:57,160 Speaker 1: is intentional and maybe not respected in terms of its 579 00:31:57,240 --> 00:31:58,240 Speaker 1: long range impact. 580 00:31:58,240 --> 00:31:59,320 Speaker 2: But that was just posted. 581 00:31:59,720 --> 00:32:04,640 Speaker 1: Look price picks available in all fifty states, California, Texas, Florida, Georgia. 582 00:32:04,720 --> 00:32:08,400 Speaker 1: Buck write this one down. This is a winner. 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You get fifty dollars in credits deposited 593 00:32:45,440 --> 00:32:50,520 Speaker 1: in your account when you use code clay Clay. That 594 00:32:50,680 --> 00:32:54,600 Speaker 1: is code clay Clay. Get signed up now. You can 595 00:32:54,640 --> 00:32:57,680 Speaker 1: play in all fifty states. You can play along with 596 00:32:57,800 --> 00:33:01,680 Speaker 1: us if you're gonna be watching games on Saturday and Sunday, 597 00:33:01,840 --> 00:33:05,640 Speaker 1: as the vast majority of you will get hooked up today. 598 00:33:06,040 --> 00:33:10,360 Speaker 1: Prize picks dot Com Code Clay fifty dollars in your account. 599 00:33:10,360 --> 00:33:14,440 Speaker 1: That's prizepicks dot Com code Clay. Peek out with the 600 00:33:14,480 --> 00:33:17,880 Speaker 1: guys on the Sunday Hang with Clay and Buck podcast 601 00:33:18,000 --> 00:33:21,160 Speaker 1: a new episode every Sunday. Find it on the iHeart 602 00:33:21,160 --> 00:33:24,560 Speaker 1: app or wherever you get your podcasts. Welcome back in 603 00:33:24,720 --> 00:33:27,720 Speaker 1: Clay Travis Buck Sexton Show. Appreciate all of you hanging 604 00:33:27,720 --> 00:33:30,520 Speaker 1: out with us as we were going to break breaking 605 00:33:30,640 --> 00:33:35,400 Speaker 1: news and Trump's Trump has said thank you to Iran 606 00:33:35,600 --> 00:33:41,120 Speaker 1: for not executing eight hundred people. By the way, eight 607 00:33:41,320 --> 00:33:45,040 Speaker 1: hundred executions, Buck, Iran has a population of ninety million. 608 00:33:45,720 --> 00:33:48,480 Speaker 1: This would be like the United States and one day 609 00:33:48,520 --> 00:33:50,239 Speaker 1: And some of you are like, hey, well maybe they 610 00:33:50,400 --> 00:33:52,400 Speaker 1: maybe this is one thing that Aaron got right, But 611 00:33:52,520 --> 00:33:54,840 Speaker 1: this would be like the United States and one day 612 00:33:54,960 --> 00:33:59,040 Speaker 1: executing four thousand people something like that as a percentage 613 00:33:59,040 --> 00:34:01,760 Speaker 1: of population. And most of these people that they were 614 00:34:01,760 --> 00:34:07,239 Speaker 1: going to execute were protesters presumably here though, are they 615 00:34:07,280 --> 00:34:09,960 Speaker 1: going to let them out, well this is some hell 616 00:34:10,000 --> 00:34:13,040 Speaker 1: whole prison and beat them and torture them and maybe 617 00:34:13,040 --> 00:34:14,879 Speaker 1: eventually execute them one by one. 618 00:34:14,920 --> 00:34:17,680 Speaker 2: I mean, this is the problem. Here is what Trump said. Again, 619 00:34:17,719 --> 00:34:18,160 Speaker 2: I gave it. 620 00:34:18,200 --> 00:34:20,440 Speaker 1: This is the latest information on what is going on 621 00:34:20,520 --> 00:34:23,680 Speaker 1: with Iran. I greatly respect the fact all scheduled hangings, 622 00:34:24,160 --> 00:34:27,240 Speaker 1: hangings which were to take place yesterday, over eight hundred 623 00:34:27,239 --> 00:34:29,480 Speaker 1: of them, according to President Trump, had been canceled by 624 00:34:29,480 --> 00:34:33,640 Speaker 1: the leadership. Thank you is in your mind? Buck, as 625 00:34:33,680 --> 00:34:39,799 Speaker 1: a former CIA skilled analyst, is this Trump sending up 626 00:34:39,920 --> 00:34:45,160 Speaker 1: a false flag of positivity while steaming the Abraham Lincoln 627 00:34:45,280 --> 00:34:48,840 Speaker 1: into the Middle East with potential other actions coming, or 628 00:34:48,920 --> 00:34:52,600 Speaker 1: does it represent in your mind a legitimate thaw in 629 00:34:52,640 --> 00:34:56,640 Speaker 1: relations in any way? No, I think this is Trump 630 00:34:56,640 --> 00:34:59,560 Speaker 1: didn't believe that there was an option for US strikes 631 00:34:59,560 --> 00:35:02,040 Speaker 1: that would bring an end to the regime, and so 632 00:35:02,800 --> 00:35:06,320 Speaker 1: he looked at the options and said, we'll take something 633 00:35:06,360 --> 00:35:10,280 Speaker 1: else here. I don't think that he's preparing to hit Iran. 634 00:35:10,760 --> 00:35:14,840 Speaker 1: I think that this was a situation unlike Venezuela, where 635 00:35:14,880 --> 00:35:18,920 Speaker 1: our leverage, our control, the opposition in place, all of 636 00:35:18,920 --> 00:35:21,840 Speaker 1: those things were not strong enough for Trump to feel 637 00:35:22,000 --> 00:35:25,840 Speaker 1: justified in taking kinetic action. So that means the regime's 638 00:35:25,840 --> 00:35:27,279 Speaker 1: going to stay, by the way, which is what I 639 00:35:27,320 --> 00:35:29,400 Speaker 1: told you guys all along. I said, if Trump doesn't 640 00:35:29,400 --> 00:35:32,160 Speaker 1: do something, the regime's not going for sure, He's not. 641 00:35:32,239 --> 00:35:33,879 Speaker 1: I don't think he's going to do anything, which means 642 00:35:33,880 --> 00:35:37,160 Speaker 1: this regime is staying, which probably means that he's been 643 00:35:37,200 --> 00:35:40,240 Speaker 1: told that his strikes would not have toppled the regime 644 00:35:40,360 --> 00:35:43,120 Speaker 1: exactly what he decided not to make the decision to 645 00:35:43,200 --> 00:35:46,480 Speaker 1: do it. Yeah, so why send the Abraham Lincoln into 646 00:35:46,520 --> 00:35:51,799 Speaker 1: the Middle East as leverage because Iran doesn't know right, 647 00:35:51,840 --> 00:35:57,040 Speaker 1: I mean, Clay, it's it's all about the unpredictability of Trump. 648 00:35:57,560 --> 00:36:00,680 Speaker 1: That's where he is right now. He can changes mine 649 00:36:00,719 --> 00:36:03,959 Speaker 1: next week. Yes, so you know he might decide something 650 00:36:04,000 --> 00:36:07,560 Speaker 1: on that menu of options he was provided is necessary 651 00:36:07,640 --> 00:36:11,080 Speaker 1: in fact, or maybe something changes with leverage inside of Iran. 652 00:36:11,200 --> 00:36:14,360 Speaker 1: But whereas I have high confidence that it'll be a 653 00:36:14,400 --> 00:36:16,799 Speaker 1: little messy. But Venezuela is going to start to be 654 00:36:17,400 --> 00:36:21,920 Speaker 1: put in a much better trajectory Iran. I don't think 655 00:36:21,960 --> 00:36:24,080 Speaker 1: that we necessarily could have even gotten the outcome we 656 00:36:24,120 --> 00:36:27,680 Speaker 1: want of the Mulla's falling. So just with strikes, I 657 00:36:27,719 --> 00:36:31,719 Speaker 1: don't think it'd be enough. We will update you on more. 658 00:36:31,880 --> 00:36:36,640 Speaker 1: There continued fallout. The opposition leader was in the White 659 00:36:36,680 --> 00:36:41,600 Speaker 1: House yesterday and gave Trump her Nobel Peace Prize. I 660 00:36:41,640 --> 00:36:45,000 Speaker 1: believe we'll talk about that and more. Second Hour plus 661 00:36:45,080 --> 00:36:49,600 Speaker 1: our buddy Ryan Gardusky on redistricting, Fat's coming