1 00:00:00,160 --> 00:00:03,400 Speaker 1: Welcome to today's edition of The Clay Travis and Buck 2 00:00:03,440 --> 00:00:04,720 Speaker 1: Sexton Show podcast. 3 00:00:05,400 --> 00:00:08,200 Speaker 2: Second hour of Clay and Buck kicks off right now. Everybody, 4 00:00:08,200 --> 00:00:13,520 Speaker 2: thank you for being here with us. Some really interesting 5 00:00:14,240 --> 00:00:17,439 Speaker 2: numbers here coming out. Actually, I've got a bunch of 6 00:00:17,480 --> 00:00:19,160 Speaker 2: numbers that I want to get you today on the show, 7 00:00:19,360 --> 00:00:25,920 Speaker 2: some relating to immigration, some relating to migration, meaning within 8 00:00:26,040 --> 00:00:27,360 Speaker 2: the US. 9 00:00:27,800 --> 00:00:30,680 Speaker 3: And here we have five. 10 00:00:30,880 --> 00:00:35,040 Speaker 2: This is the latest US Census data. Five hundred and 11 00:00:35,120 --> 00:00:39,120 Speaker 2: forty five thousand, four hundred and ninety eight New Yorkers 12 00:00:39,760 --> 00:00:43,160 Speaker 2: left for other states in twenty twenty two. 13 00:00:43,479 --> 00:00:47,120 Speaker 1: I would be one of these individuals right, yes, close 14 00:00:47,159 --> 00:00:47,440 Speaker 1: to it. 15 00:00:48,200 --> 00:00:48,520 Speaker 3: Yep. 16 00:00:48,960 --> 00:00:53,120 Speaker 2: This is the latest census data. So this is I 17 00:00:53,479 --> 00:00:56,000 Speaker 2: fall into this category. And look, I'll say this, I 18 00:00:56,120 --> 00:01:02,040 Speaker 2: still I still love New York. I love New York City, 19 00:01:02,120 --> 00:01:04,080 Speaker 2: I love New York State. I think New York State 20 00:01:04,160 --> 00:01:06,360 Speaker 2: is one of the most beautiful places, you know, if 21 00:01:06,400 --> 00:01:08,120 Speaker 2: you're in the right parts of it in the country. 22 00:01:09,000 --> 00:01:11,480 Speaker 2: I think New York City is still the greatest. 23 00:01:10,959 --> 00:01:12,880 Speaker 3: City in America. 24 00:01:13,160 --> 00:01:17,280 Speaker 2: But there are reasons people have decided to start to 25 00:01:17,680 --> 00:01:20,440 Speaker 2: go elsewhere. I don't know if it'll be permanent for 26 00:01:20,480 --> 00:01:20,840 Speaker 2: all of them. 27 00:01:20,880 --> 00:01:21,200 Speaker 3: Some of them. 28 00:01:21,200 --> 00:01:23,920 Speaker 2: I'm sure we'll en not going back, but I just 29 00:01:23,959 --> 00:01:26,240 Speaker 2: want to give you the breakdown because this is part 30 00:01:26,280 --> 00:01:30,000 Speaker 2: of the big blue state to red state migration that 31 00:01:30,040 --> 00:01:30,560 Speaker 2: we have seen. 32 00:01:30,600 --> 00:01:30,759 Speaker 3: Now. 33 00:01:30,760 --> 00:01:34,520 Speaker 2: It's interesting because in the data, this is all US 34 00:01:34,560 --> 00:01:38,720 Speaker 2: Census data, you had about forty four thousand moved to Pennsylvania. 35 00:01:38,760 --> 00:01:41,080 Speaker 2: So that's okay, that's just right next door. Same thing, 36 00:01:41,160 --> 00:01:43,880 Speaker 2: New Jersey, right next door, seventy five thousand, a lot 37 00:01:43,880 --> 00:01:46,240 Speaker 2: of people moved to New Jersey, and then fifty thousand 38 00:01:46,280 --> 00:01:50,360 Speaker 2: moved to Connecticut. Now that's partially I'm sure just what 39 00:01:50,520 --> 00:01:53,240 Speaker 2: happens in New York. I should look at what some 40 00:01:53,280 --> 00:01:56,160 Speaker 2: of this on a regular year, what looks like. But 41 00:01:56,200 --> 00:01:59,120 Speaker 2: people moved to where they consider suburbs. You know, you 42 00:01:59,120 --> 00:02:01,760 Speaker 2: can live in the borough urbs, certainly in New Jersey 43 00:02:01,800 --> 00:02:05,200 Speaker 2: and Connecticut and commute into New York City and have 44 00:02:05,440 --> 00:02:08,640 Speaker 2: you know, bigger house and your tax situation. It's gonna 45 00:02:08,639 --> 00:02:09,239 Speaker 2: be a little bit better. 46 00:02:09,360 --> 00:02:11,480 Speaker 1: And also, buck probably a function of that is the 47 00:02:11,560 --> 00:02:14,480 Speaker 1: number of people who are working remotely. They can now 48 00:02:14,520 --> 00:02:15,840 Speaker 1: if you only have to come in two days a 49 00:02:15,880 --> 00:02:18,400 Speaker 1: week to Manhattan, you might be willing to make that 50 00:02:18,480 --> 00:02:20,760 Speaker 1: commute two days a week, and you were never willing to. 51 00:02:20,680 --> 00:02:21,680 Speaker 3: Make it five days a week. 52 00:02:21,760 --> 00:02:23,800 Speaker 1: So I agree in those states, like that's a lifestyle 53 00:02:23,919 --> 00:02:24,880 Speaker 1: choice for a lot of people. 54 00:02:24,960 --> 00:02:25,920 Speaker 3: Some people don't mind it. 55 00:02:25,919 --> 00:02:28,880 Speaker 2: I mean, I know people that commute two hours each 56 00:02:28,919 --> 00:02:30,799 Speaker 2: way to work every day and that's there. 57 00:02:30,840 --> 00:02:32,800 Speaker 1: Some of our staff has big trips in the New 58 00:02:32,840 --> 00:02:33,720 Speaker 1: York City studio. 59 00:02:34,160 --> 00:02:35,680 Speaker 2: I mean, I think if you can kind of get 60 00:02:35,680 --> 00:02:37,840 Speaker 2: into that zen state of just your reading, or you're 61 00:02:37,840 --> 00:02:41,000 Speaker 2: listening to podcasts or the Clay and Buck Show, yes 62 00:02:41,040 --> 00:02:43,160 Speaker 2: it's what everyone should be listening to on their long commutes. 63 00:02:43,520 --> 00:02:47,160 Speaker 2: But I can understand for people don't mind that. You 64 00:02:47,160 --> 00:02:49,280 Speaker 2: get a lot of financial benefit, you get more, more 65 00:02:50,440 --> 00:02:51,239 Speaker 2: value for your dollar. 66 00:02:51,320 --> 00:02:52,960 Speaker 3: Well, it's really interesting. This is what I was trying 67 00:02:52,960 --> 00:02:54,120 Speaker 3: to get. What was going to get to. 68 00:02:55,120 --> 00:02:58,880 Speaker 2: The number one of all states, number one state for 69 00:02:59,000 --> 00:03:01,959 Speaker 2: the five hundred and forty five thousand New Yorkers who left, 70 00:03:02,000 --> 00:03:04,320 Speaker 2: and remember they left in twenty twenty two. This isn't 71 00:03:04,880 --> 00:03:08,560 Speaker 2: height of the of the pandemic kind of stuff necessarily. 72 00:03:08,600 --> 00:03:10,800 Speaker 2: This is you know, they've been there, They've been in 73 00:03:10,800 --> 00:03:13,800 Speaker 2: New York twenty twenty twenty twenty one, leaving in twenty 74 00:03:13,840 --> 00:03:17,360 Speaker 2: twenty two, ninety one thousand moved to Florida. 75 00:03:17,400 --> 00:03:19,079 Speaker 3: So I'm among the ninety one thousand. 76 00:03:19,160 --> 00:03:22,880 Speaker 2: Ninety one thousand, two hundred and one, thirty one thousand 77 00:03:23,160 --> 00:03:26,920 Speaker 2: went to California, which is interesting, and then thirty thousand 78 00:03:27,000 --> 00:03:30,200 Speaker 2: went to Texas. Okay, So the red state migration here 79 00:03:31,080 --> 00:03:36,240 Speaker 2: is Texas thirty thousand, Florida ninety one thousand. So Florida 80 00:03:36,240 --> 00:03:40,360 Speaker 2: by far got the most New York residents moving there 81 00:03:40,400 --> 00:03:43,360 Speaker 2: in twenty twenty two. Big part of that Governor Ron 82 00:03:43,440 --> 00:03:46,280 Speaker 2: de Santis, how he runs this state. I would note 83 00:03:46,360 --> 00:03:49,080 Speaker 2: Donald Trump among the former New Yorkers that are now 84 00:03:49,240 --> 00:03:54,839 Speaker 2: full time Florida residents, and also Trump's I think, well, 85 00:03:54,920 --> 00:03:57,360 Speaker 2: certainly Ivanka and Don Junior. 86 00:03:57,040 --> 00:03:58,480 Speaker 3: Are Florida residents now. 87 00:03:59,480 --> 00:04:01,920 Speaker 2: I'm not sure if I think Eric might still be 88 00:04:01,960 --> 00:04:05,520 Speaker 2: a New York resident Eric Trump. Anyway, there's been a 89 00:04:06,120 --> 00:04:08,000 Speaker 2: lot of movement, a lot of change for people here, 90 00:04:08,040 --> 00:04:11,400 Speaker 2: and Clay, I think this trend is going to continue. 91 00:04:11,520 --> 00:04:15,160 Speaker 2: I don't know how these states planned to stop it. 92 00:04:15,200 --> 00:04:18,400 Speaker 2: I mean, even just today, Eric Adams is reminding everybody 93 00:04:18,640 --> 00:04:20,159 Speaker 2: we can't take any more migrants. 94 00:04:20,320 --> 00:04:23,760 Speaker 3: The budget can handle it, and we know what Democrats. 95 00:04:24,040 --> 00:04:29,159 Speaker 2: Their response in many places to the flight of high 96 00:04:29,240 --> 00:04:31,279 Speaker 2: earners is to try to tax the earners who stay 97 00:04:31,320 --> 00:04:33,800 Speaker 2: even more. Yes, and so this is you create this 98 00:04:33,960 --> 00:04:36,560 Speaker 2: cycle of your over taxing people. 99 00:04:36,640 --> 00:04:37,920 Speaker 3: This is what blue states like New. 100 00:04:37,839 --> 00:04:40,080 Speaker 2: York can also point out if you're a New Yorker 101 00:04:40,080 --> 00:04:42,520 Speaker 2: who left for California, because people always worry about this 102 00:04:43,560 --> 00:04:45,240 Speaker 2: in the red states, they say, oh no, I don't 103 00:04:45,240 --> 00:04:47,480 Speaker 2: want all these New Yorkers. The New Yorkers who moved 104 00:04:47,480 --> 00:04:52,120 Speaker 2: to Texas and Florida are the Republicans. They're the much 105 00:04:52,120 --> 00:04:55,000 Speaker 2: more likely to be Republicans. New Yorkers who moved to California. 106 00:04:55,600 --> 00:04:57,720 Speaker 2: You might get some Democrats mixed in with that. That 107 00:04:58,080 --> 00:04:59,520 Speaker 2: may just be they want the better weather. 108 00:05:00,080 --> 00:05:01,640 Speaker 1: Yeah, And I would also think there's a lot of 109 00:05:01,640 --> 00:05:04,599 Speaker 1: cross pollination in general between New York and California. But 110 00:05:04,640 --> 00:05:07,760 Speaker 1: I think what you hit on is the essence of 111 00:05:07,800 --> 00:05:11,640 Speaker 1: this COVID made red redder and blue bluer. And as 112 00:05:11,640 --> 00:05:14,240 Speaker 1: someone who lives in a red state, I can tell 113 00:05:14,279 --> 00:05:18,599 Speaker 1: you that as suddenly all these New Yorkers, all these Californians, 114 00:05:18,680 --> 00:05:22,920 Speaker 1: and all these Chicago area residents all moved into my neighborhood. 115 00:05:23,320 --> 00:05:25,000 Speaker 1: A lot of the people who've been here for several 116 00:05:25,080 --> 00:05:27,320 Speaker 1: years and lived here. Pre covid are certainly like me, 117 00:05:27,480 --> 00:05:31,679 Speaker 1: or born and raised in a state like Tennessee, got nervous, 118 00:05:32,080 --> 00:05:35,000 Speaker 1: and so their license plate you'll see, or shirt you'll see, 119 00:05:35,040 --> 00:05:39,920 Speaker 1: don't California, my Texas, don't California my Tennessee. Because there's 120 00:05:39,960 --> 00:05:42,360 Speaker 1: a lot of fear in the Red States that these 121 00:05:42,400 --> 00:05:45,920 Speaker 1: people are like locusts. They've destroyed the place where they 122 00:05:45,960 --> 00:05:49,120 Speaker 1: live now, and they are now coming somewhere else to 123 00:05:50,000 --> 00:05:53,480 Speaker 1: recavoc there. What I have seen in the state of 124 00:05:53,480 --> 00:05:56,400 Speaker 1: Tennessee is what you're saying, Buck. The people who are 125 00:05:56,560 --> 00:06:00,520 Speaker 1: leaving are coming, and they're actually sometimes redder than the 126 00:06:00,560 --> 00:06:03,960 Speaker 1: people who are already living in these communities, and they're 127 00:06:04,040 --> 00:06:07,719 Speaker 1: coming because they are desperate to get to some form 128 00:06:07,760 --> 00:06:10,440 Speaker 1: of sanity. And here is what I think the essence 129 00:06:10,480 --> 00:06:14,279 Speaker 1: of this is, Buck. I can't imagine anywhere in America 130 00:06:14,600 --> 00:06:17,000 Speaker 1: that I would give up fifteen percent of my income 131 00:06:17,040 --> 00:06:20,640 Speaker 1: to live there. I'm just being honest with you. I 132 00:06:20,760 --> 00:06:23,479 Speaker 1: love the state of Tennessee. If the state I'm born 133 00:06:23,520 --> 00:06:25,640 Speaker 1: and raised. I'm forty four years old. I've been here 134 00:06:25,640 --> 00:06:27,960 Speaker 1: almost my entire life, other than college and when I 135 00:06:28,040 --> 00:06:30,040 Speaker 1: practiced law on the Caribbean for a couple of years. 136 00:06:30,160 --> 00:06:32,200 Speaker 1: If the state of Tennessee came to me and they said, Clay, 137 00:06:32,200 --> 00:06:34,840 Speaker 1: we're going to take fifteen percent of your earnings, I 138 00:06:34,880 --> 00:06:37,839 Speaker 1: would move to Florida or Texas. And I think what 139 00:06:38,040 --> 00:06:41,760 Speaker 1: happened was a lot of high earners. And I would 140 00:06:41,760 --> 00:06:44,000 Speaker 1: bet this is the scary thing for New York. 141 00:06:44,040 --> 00:06:44,280 Speaker 3: Buck. 142 00:06:44,279 --> 00:06:46,080 Speaker 1: I bet if you go look at those five hundred 143 00:06:46,120 --> 00:06:48,240 Speaker 1: and forty five thousand New Yorkers who left in the 144 00:06:48,320 --> 00:06:51,400 Speaker 1: ninety one thousand who went to Florida and the thirty 145 00:06:51,440 --> 00:06:53,800 Speaker 1: thousand who went to Texas, I bet there's some of 146 00:06:53,839 --> 00:06:56,600 Speaker 1: the highest earners in the state of New York. Because 147 00:06:56,720 --> 00:06:58,240 Speaker 1: a lot of people who make a lot of money. 148 00:06:58,240 --> 00:07:01,400 Speaker 1: And you know this, Initially, when they worked on Wall Street, 149 00:07:01,440 --> 00:07:03,480 Speaker 1: They're like, Oh, I've got to be close to Wall Street, 150 00:07:03,600 --> 00:07:05,279 Speaker 1: or I've got to be close to New York City. 151 00:07:05,320 --> 00:07:08,680 Speaker 1: My business wouldn't work if I run private equity or 152 00:07:08,680 --> 00:07:10,600 Speaker 1: I run a hedge fund and I weren't based in 153 00:07:10,640 --> 00:07:11,080 Speaker 1: New York. 154 00:07:11,480 --> 00:07:12,480 Speaker 3: And then COVID. 155 00:07:12,200 --> 00:07:14,560 Speaker 1: Happened and everybody went all over the country and they 156 00:07:14,600 --> 00:07:17,520 Speaker 1: all worked remotely, and they found out that the business 157 00:07:17,560 --> 00:07:20,800 Speaker 1: still worked just as effectively. This was a risk that 158 00:07:20,840 --> 00:07:23,800 Speaker 1: those companies never would have taken, I don't think. But 159 00:07:23,920 --> 00:07:26,840 Speaker 1: then when COVID happens and everybody distributes not only all 160 00:07:26,880 --> 00:07:29,360 Speaker 1: over the country but all over the world, and the 161 00:07:29,400 --> 00:07:33,080 Speaker 1: company seems continue to be profitable, A lot of those guys, 162 00:07:33,080 --> 00:07:34,160 Speaker 1: and they're mostly guys. 163 00:07:34,680 --> 00:07:35,720 Speaker 3: I mean, think about this, buck. 164 00:07:35,800 --> 00:07:38,119 Speaker 1: If you are fortunate enough to be making ten million 165 00:07:38,160 --> 00:07:40,280 Speaker 1: dollars a year, and that's a lot of those hedge 166 00:07:40,280 --> 00:07:42,840 Speaker 1: fund guys, a lot of those private equity guys, you 167 00:07:42,920 --> 00:07:45,840 Speaker 1: gonna pay one and a half million dollars for the 168 00:07:45,880 --> 00:07:47,880 Speaker 1: privilege and the benefit of living in New York City 169 00:07:48,480 --> 00:07:52,120 Speaker 1: or LA or Chicago or or would you take the 170 00:07:52,200 --> 00:07:54,360 Speaker 1: one and a half million in your pocket. The more 171 00:07:54,400 --> 00:07:56,400 Speaker 1: money you make, the crazier it is to be paying 172 00:07:56,400 --> 00:07:57,320 Speaker 1: state income tax. 173 00:07:57,440 --> 00:07:58,440 Speaker 3: So here you go. 174 00:07:59,160 --> 00:08:02,240 Speaker 2: The top New York City rate right now, I just 175 00:08:02,280 --> 00:08:05,440 Speaker 2: look this up is they say it's ten point nine, 176 00:08:05,560 --> 00:08:10,320 Speaker 2: effectively eleven percent, and the top city rate on top 177 00:08:10,360 --> 00:08:10,880 Speaker 2: of that if. 178 00:08:10,800 --> 00:08:14,120 Speaker 1: You live in New York City is three point eight, 179 00:08:14,200 --> 00:08:17,520 Speaker 1: so it's it's basically fourteen percent. 180 00:08:17,760 --> 00:08:24,960 Speaker 2: Yeah, so you're looking at a fifteen percent fifteen percent yeah, 181 00:08:25,440 --> 00:08:28,560 Speaker 2: tax rate. If you're considered a hire or a New 182 00:08:28,640 --> 00:08:31,280 Speaker 2: York City. And you also because of this actually happened 183 00:08:31,280 --> 00:08:34,880 Speaker 2: with the Trump administration, the salt deduction got you know, 184 00:08:34,920 --> 00:08:36,040 Speaker 2: got property. 185 00:08:35,640 --> 00:08:37,800 Speaker 1: Taxes are insane, that's right. You don't get to write 186 00:08:37,800 --> 00:08:38,440 Speaker 1: them off anymore. 187 00:08:38,520 --> 00:08:40,840 Speaker 2: You don't get to write off, you know, your mortgage 188 00:08:41,520 --> 00:08:44,000 Speaker 2: the same way you used to be able to. So 189 00:08:45,240 --> 00:08:48,440 Speaker 2: this means that the Blue states and Blue cities, they've 190 00:08:48,480 --> 00:08:53,000 Speaker 2: created this problem because they have this massive, this massive 191 00:08:53,200 --> 00:08:56,320 Speaker 2: spending apparatus that is only going to want to spend 192 00:08:56,360 --> 00:08:58,520 Speaker 2: more and more and more. And it's really accommodation of 193 00:08:58,520 --> 00:09:03,359 Speaker 2: medicaid and government just government in general, government services very inefficient. 194 00:09:04,160 --> 00:09:07,760 Speaker 2: Mayor Adams is dealing with a New York City where 195 00:09:08,320 --> 00:09:10,720 Speaker 2: this is in the New York Post today, he said, 196 00:09:10,880 --> 00:09:12,840 Speaker 2: never in my life have I had a problem that 197 00:09:12,880 --> 00:09:14,720 Speaker 2: I did not see an ending to. I don't see 198 00:09:14,720 --> 00:09:18,400 Speaker 2: an ending to this. This issue will destroy New York City. 199 00:09:18,400 --> 00:09:20,160 Speaker 2: That's what he says about the migrant crisis. 200 00:09:20,200 --> 00:09:20,400 Speaker 3: Yep. 201 00:09:20,960 --> 00:09:24,160 Speaker 2: The polling here says fifty eight percent of New York City, 202 00:09:24,559 --> 00:09:27,640 Speaker 2: which is eighty something, they're going to have to start 203 00:09:27,679 --> 00:09:31,200 Speaker 2: cutting services. Cutting services means dirty your street, it's more crime, 204 00:09:31,640 --> 00:09:35,559 Speaker 2: you know, less people to provide the services that you're 205 00:09:35,559 --> 00:09:38,960 Speaker 2: supposedly paying the up to fifteen fourteen fifteen percent tax 206 00:09:39,040 --> 00:09:41,920 Speaker 2: rate for. And I think that these other states are 207 00:09:41,920 --> 00:09:44,920 Speaker 2: going to be major beneficiaries of it. The only thing 208 00:09:44,960 --> 00:09:46,600 Speaker 2: that I can see coming down the line for people 209 00:09:46,600 --> 00:09:48,120 Speaker 2: who's you know, right now, we've got. 210 00:09:47,960 --> 00:09:50,679 Speaker 3: People listening in you know, Oklahoma and Texas and very 211 00:09:50,720 --> 00:09:51,320 Speaker 3: red states. 212 00:09:51,320 --> 00:09:54,080 Speaker 2: You know, we're saying, ah, not my Tennessee, not my 213 00:09:54,200 --> 00:09:57,600 Speaker 2: problem New York. Right, they're going to want federal bailout 214 00:09:57,640 --> 00:10:00,679 Speaker 2: money down the line, They're going to want federal tax 215 00:10:00,760 --> 00:10:03,760 Speaker 2: dollars to shore up these failing cities. I mean, did 216 00:10:03,760 --> 00:10:07,960 Speaker 2: you even see I think James Woods shared this on 217 00:10:08,000 --> 00:10:12,160 Speaker 2: his Twitter account. It's a video of not I think 218 00:10:12,200 --> 00:10:14,520 Speaker 2: it's knob Hill in San Francisco. Did you see this 219 00:10:14,640 --> 00:10:15,320 Speaker 2: making the rounds? 220 00:10:15,360 --> 00:10:17,679 Speaker 1: It's beautiful, one of the most wealthy parts of San 221 00:10:17,720 --> 00:10:20,400 Speaker 1: Francisco history, the most beautiful neighborhoods. 222 00:10:20,440 --> 00:10:22,600 Speaker 2: I mean, I remember I've been to San Francisco. I'mong 223 00:10:22,640 --> 00:10:25,840 Speaker 2: to San Francisco once. It's been a few days there, 224 00:10:25,880 --> 00:10:27,200 Speaker 2: just tour, just touring it as a tours. 225 00:10:27,320 --> 00:10:27,760 Speaker 1: Yeah. 226 00:10:27,800 --> 00:10:28,920 Speaker 3: And a couple of the. 227 00:10:28,880 --> 00:10:32,400 Speaker 2: Places that I went because they were so famous, are 228 00:10:32,440 --> 00:10:35,440 Speaker 2: among the shuttered. You know now the windows are all 229 00:10:35,480 --> 00:10:39,600 Speaker 2: boarded up places in non pill At some point, you 230 00:10:39,640 --> 00:10:42,880 Speaker 2: would think the Democrats would recognize that this is not 231 00:10:44,360 --> 00:10:46,920 Speaker 2: it's not a mystery why this is happening in these places. 232 00:10:47,000 --> 00:10:51,240 Speaker 2: This is cause and effect. D C, Washington, d C. 233 00:10:51,320 --> 00:10:52,560 Speaker 3: Where we just were last week. 234 00:10:52,559 --> 00:10:57,680 Speaker 2: Clay, the DC mayor, is considering trying to roll back 235 00:10:57,720 --> 00:11:01,120 Speaker 2: some of the you know, crime policy sees that basically 236 00:11:01,120 --> 00:11:04,319 Speaker 2: soft on crime policies that they have because they realize 237 00:11:04,360 --> 00:11:07,600 Speaker 2: that this is becoming far too dangerous for people in 238 00:11:07,600 --> 00:11:10,600 Speaker 2: the city and it's hurting business and it's hurting people 239 00:11:11,160 --> 00:11:13,800 Speaker 2: out of your murder highs in Washington, d C. 240 00:11:13,920 --> 00:11:17,760 Speaker 1: Where we just were, And look, I know a lot 241 00:11:17,760 --> 00:11:20,440 Speaker 1: of you out there are struggling because suddenly you've got 242 00:11:20,480 --> 00:11:24,960 Speaker 1: eight percent mortgages, and we talked about yesterday. You've got 243 00:11:25,080 --> 00:11:29,280 Speaker 1: nine dollars frigging gallon of orange juice, you got nine 244 00:11:29,320 --> 00:11:34,040 Speaker 1: dollar cereals, and you're looking at if you're in California 245 00:11:34,160 --> 00:11:36,760 Speaker 1: or you're in New York and you're paying fifteen percent 246 00:11:36,880 --> 00:11:39,880 Speaker 1: effectively for the privilege of living in New York City 247 00:11:39,960 --> 00:11:40,360 Speaker 1: or LA. 248 00:11:41,000 --> 00:11:41,560 Speaker 3: I think a lot of. 249 00:11:41,520 --> 00:11:43,560 Speaker 1: People it's not the high earners right, If you're a 250 00:11:43,600 --> 00:11:46,720 Speaker 1: ten million dollar guy, one and a half million extra 251 00:11:46,800 --> 00:11:50,520 Speaker 1: dollars is a lot of money. You're already wealthy if 252 00:11:50,559 --> 00:11:53,360 Speaker 1: your family makes one hundred thousand dollars a year, which, 253 00:11:53,400 --> 00:11:56,360 Speaker 1: as you pointed out, Buck, isn't that much money when 254 00:11:56,400 --> 00:11:58,679 Speaker 1: you consider how much it costs to live in New 255 00:11:58,760 --> 00:12:01,920 Speaker 1: York City. The amount of money that you're paying in 256 00:12:02,000 --> 00:12:07,760 Speaker 1: taxes is through the ruth still And I just I 257 00:12:07,800 --> 00:12:09,679 Speaker 1: think a lot of people are making the decision. As 258 00:12:09,760 --> 00:12:11,400 Speaker 1: much as you might like New York City, as much 259 00:12:11,400 --> 00:12:13,440 Speaker 1: as you might like LA, as much as you might 260 00:12:13,520 --> 00:12:15,920 Speaker 1: like Chicago, there are a lot of cities that are 261 00:12:15,920 --> 00:12:19,840 Speaker 1: really nice that aren't New York, LA or Chicago. And 262 00:12:20,320 --> 00:12:22,560 Speaker 1: many people are making the decision that it's better for 263 00:12:22,600 --> 00:12:25,320 Speaker 1: their families for them to be there. And this is 264 00:12:25,320 --> 00:12:27,960 Speaker 1: why I think we're actually going to be behind. And 265 00:12:28,000 --> 00:12:30,880 Speaker 1: this is going to be significant. Twenty twenty four, get 266 00:12:30,920 --> 00:12:34,320 Speaker 1: ready for this. Twenty twenty four, Trump or whomever the 267 00:12:34,360 --> 00:12:37,640 Speaker 1: nominee is as a Republican is going to win Red 268 00:12:37,679 --> 00:12:41,000 Speaker 1: States by a margin that we have never seen before. 269 00:12:41,080 --> 00:12:44,080 Speaker 3: I think this is going to happen because so many people. 270 00:12:43,760 --> 00:12:46,840 Speaker 1: Who are from Illinois or New York or California that 271 00:12:46,920 --> 00:12:50,000 Speaker 1: might have voted red have moved into those states, and 272 00:12:50,040 --> 00:12:52,800 Speaker 1: we're going to need to recalibrate in a big way. 273 00:12:52,840 --> 00:12:53,120 Speaker 3: Buck. 274 00:12:53,360 --> 00:12:55,520 Speaker 1: But we're not gonna have a new census till twenty thirty, 275 00:12:56,120 --> 00:12:59,720 Speaker 1: So in twenty twenty four and twenty twenty eight, they're 276 00:12:59,720 --> 00:13:07,520 Speaker 1: gonna be huge, massive, unseen before red state wins for Republicans. 277 00:13:07,600 --> 00:13:09,920 Speaker 1: Like Florida is a perfect example. I remember when everybody's 278 00:13:09,960 --> 00:13:12,520 Speaker 1: like twenty twenty oh, Florida is gonna be close, and 279 00:13:12,559 --> 00:13:14,280 Speaker 1: Trump won it by like three and a half points 280 00:13:14,320 --> 00:13:16,720 Speaker 1: or whatever it was. If Trump's the nominee, He's gonna 281 00:13:16,720 --> 00:13:19,400 Speaker 1: win Florida by eight or nine points this year. I mean, 282 00:13:19,480 --> 00:13:23,840 Speaker 1: Florida is looking more like Alabama than it is than 283 00:13:23,880 --> 00:13:26,199 Speaker 1: it is Wisconsin, right in terms of how close it's 284 00:13:26,240 --> 00:13:26,600 Speaker 1: gonna be. 285 00:13:27,480 --> 00:13:29,640 Speaker 3: And that's going to be a massive win. 286 00:13:30,280 --> 00:13:33,600 Speaker 1: But the congressional seats are not going to have been 287 00:13:33,640 --> 00:13:36,600 Speaker 1: reallocated yet. For all these people that say the New 288 00:13:36,679 --> 00:13:39,440 Speaker 1: York's and the Californias of the world are losing, I 289 00:13:39,440 --> 00:13:42,240 Speaker 1: think by the twenty thirty census, we're going to be 290 00:13:42,280 --> 00:13:44,640 Speaker 1: trying to catch up to what the reality of the 291 00:13:44,679 --> 00:13:47,960 Speaker 1: COVID realignment has actually reflected, Yeah. 292 00:13:47,760 --> 00:13:51,400 Speaker 2: The long term implications for politics in America of this 293 00:13:51,679 --> 00:13:54,559 Speaker 2: event and of this realignment, of this movement. 294 00:13:54,640 --> 00:13:56,080 Speaker 3: Really this migration of people. 295 00:13:56,200 --> 00:13:58,160 Speaker 2: It's kind of like we talk about the migrants all 296 00:13:58,160 --> 00:14:00,400 Speaker 2: the time, and we have internal micro it's here in 297 00:14:00,400 --> 00:14:01,439 Speaker 2: America and I'm one of them. 298 00:14:01,480 --> 00:14:04,400 Speaker 3: From New York to Florida and many other places. 299 00:14:05,320 --> 00:14:08,520 Speaker 2: This is going to it's going to change the you know, 300 00:14:08,559 --> 00:14:11,160 Speaker 2: it's going to change obviously congressional apportionment, it's going to 301 00:14:11,240 --> 00:14:15,199 Speaker 2: change these state budgets. It's going to result, I think 302 00:14:15,240 --> 00:14:18,400 Speaker 2: in some cities becoming even more boom towns they than 303 00:14:18,400 --> 00:14:21,560 Speaker 2: they already are. But fundamentally, what I think is so 304 00:14:23,080 --> 00:14:26,280 Speaker 2: with all this going on, I don't think it's possible 305 00:14:26,320 --> 00:14:28,920 Speaker 2: anymore to make arguments that what Democrats have been doing 306 00:14:28,920 --> 00:14:33,440 Speaker 2: in these places is sensible. And for the most part, 307 00:14:33,960 --> 00:14:36,280 Speaker 2: they're just going to keep doing it. That's you know, 308 00:14:36,480 --> 00:14:39,680 Speaker 2: we've seen the results. It's like we've run the experiment play. 309 00:14:39,920 --> 00:14:41,920 Speaker 2: We've run it in New York, We've run it in DC, 310 00:14:42,040 --> 00:14:44,880 Speaker 2: We've run in Chicago, La, San Francisco, Portland. You know, 311 00:14:45,040 --> 00:14:47,760 Speaker 2: go down the list, and the people running those places 312 00:14:47,800 --> 00:14:50,400 Speaker 2: overwhelmingly go Yeah, this is just the way it's going 313 00:14:50,480 --> 00:14:50,720 Speaker 2: to be. 314 00:14:51,320 --> 00:14:54,360 Speaker 1: Well until they decide they need their own version of Giuliani. 315 00:14:54,640 --> 00:14:57,400 Speaker 1: And that's where I think we're on the flywheel of progress. 316 00:14:57,520 --> 00:14:59,480 Speaker 1: One of the great analogies I like to use bucks. 317 00:14:59,480 --> 00:15:02,720 Speaker 1: We get ready to finish off this segment. Google gets 318 00:15:02,760 --> 00:15:05,920 Speaker 1: better the more people who use Google, the search results, 319 00:15:05,960 --> 00:15:08,720 Speaker 1: everything else. The business becomes more effective the more people 320 00:15:08,720 --> 00:15:10,600 Speaker 1: who use it, because they've got a bigger data set, 321 00:15:10,640 --> 00:15:14,360 Speaker 1: bigger analysis set, they figure out what works. The reverse 322 00:15:14,440 --> 00:15:17,080 Speaker 1: is happening right now in every major Democrat run city. 323 00:15:17,560 --> 00:15:20,200 Speaker 1: The people that are helping to fund much of what 324 00:15:20,280 --> 00:15:23,080 Speaker 1: goes on there are leaving, and they've now got a 325 00:15:23,160 --> 00:15:27,320 Speaker 1: flywheel of negativity where every single day things are getting 326 00:15:27,520 --> 00:15:30,560 Speaker 1: a little bit worse and you can't blame Donald Trump 327 00:15:30,600 --> 00:15:33,680 Speaker 1: and you can't blame Republicans for it. Make your plans 328 00:15:33,720 --> 00:15:36,640 Speaker 1: to attend an information packed three day seminar the first 329 00:15:36,640 --> 00:15:39,960 Speaker 1: weekend in December. It's the invest Wealth Summit in Tampa 330 00:15:40,160 --> 00:15:41,640 Speaker 1: on Friday, Saturday, and Sunday. 331 00:15:41,680 --> 00:15:43,120 Speaker 3: That's December first through the third. 332 00:15:43,360 --> 00:15:45,560 Speaker 1: If you want to learn how to create financial freedom 333 00:15:45,560 --> 00:15:47,480 Speaker 1: and security for your future, you want to be at 334 00:15:47,480 --> 00:15:50,400 Speaker 1: the Invest Wealth Summit. Events organized by the team at 335 00:15:50,480 --> 00:15:55,360 Speaker 1: rad Diversified, led by co founder CEO Dutch Mendenhall. There's 336 00:15:55,360 --> 00:15:58,120 Speaker 1: a lot to learn here and some great speakers on 337 00:15:58,240 --> 00:16:01,040 Speaker 1: the agenda. My good buddy buss Well, he's going to 338 00:16:01,080 --> 00:16:03,720 Speaker 1: be there, as is Tucker Carlson, Lisa Booth, Amy Von 339 00:16:03,920 --> 00:16:07,960 Speaker 1: many many others. Learn how to diversify your portfolio without 340 00:16:07,960 --> 00:16:12,520 Speaker 1: relying solely on Wall Street. Explore explore alternative investments, gain 341 00:16:12,600 --> 00:16:16,560 Speaker 1: access to unique opportunity and hidden gems. Uncover untapped potential 342 00:16:16,600 --> 00:16:20,480 Speaker 1: in real estate, startups and innovative technologies. Learn how to 343 00:16:20,480 --> 00:16:24,440 Speaker 1: reduce your tax burden much more, Expand your investment horizons 344 00:16:24,480 --> 00:16:28,360 Speaker 1: and secure your financial future. Secure your seat and invest 345 00:16:28,440 --> 00:16:34,480 Speaker 1: Wealthsummit dot Com today the website invest Wealthsummit dot Com 346 00:16:34,720 --> 00:16:39,720 Speaker 1: learn and last weekdays with Clay Travis and Buck Sexton. 347 00:16:39,840 --> 00:16:43,920 Speaker 1: We're going to join be joined by Miranda Devine coming 348 00:16:44,040 --> 00:16:46,520 Speaker 1: up here in just a bit. She is going to 349 00:16:46,560 --> 00:16:50,200 Speaker 1: talk about the latest surrounding the Biden crime family. There's 350 00:16:50,200 --> 00:16:53,400 Speaker 1: a two hundred thousand dollars check out there that appears 351 00:16:53,440 --> 00:16:56,520 Speaker 1: to have been delivered to Joe Biden once he left office. 352 00:16:56,800 --> 00:16:58,760 Speaker 3: Also, what's going. 353 00:16:58,600 --> 00:17:01,440 Speaker 1: On exactly with Hunter with all of the chaos in 354 00:17:01,560 --> 00:17:05,560 Speaker 1: Israel and certainly the uncertainty surrounding the House of Representatives, 355 00:17:06,000 --> 00:17:08,480 Speaker 1: there hasn't been a lot of focus on Hunter Biden. 356 00:17:08,640 --> 00:17:10,639 Speaker 1: I would just point out that there still is no 357 00:17:10,800 --> 00:17:15,040 Speaker 1: resolution on both the tax charges that could and should, 358 00:17:15,160 --> 00:17:18,000 Speaker 1: I believe, be brought against Hunter Biden, what's going on there, 359 00:17:18,320 --> 00:17:21,040 Speaker 1: as well as the idea of whether or not he 360 00:17:21,119 --> 00:17:24,159 Speaker 1: needed to register for FARA. We'll talk about all of 361 00:17:24,160 --> 00:17:27,280 Speaker 1: that with Miranda Devine New York Posts. She's done phenomenal work. 362 00:17:27,320 --> 00:17:29,440 Speaker 1: Also get her opinion, buck. I'm curious what she would 363 00:17:29,440 --> 00:17:32,359 Speaker 1: say about the New York Times coming out and apologizing 364 00:17:32,440 --> 00:17:35,680 Speaker 1: for the way they have covered the situation in Gaza. 365 00:17:36,119 --> 00:17:38,720 Speaker 1: Why no apologies for all the pulitzers that they accepted 366 00:17:38,760 --> 00:17:42,480 Speaker 1: surrounding Russia collusion and more. We'll talk about that with her. 367 00:17:43,520 --> 00:17:45,600 Speaker 2: If you're a gun owner, practicing at the range is 368 00:17:45,640 --> 00:17:47,800 Speaker 2: how you improve and keep your skills sharp. 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It 378 00:18:13,480 --> 00:18:16,000 Speaker 2: also guides you through drills and courses to further improve. 379 00:18:16,400 --> 00:18:19,320 Speaker 2: Most people see real improvement within an hour or less 380 00:18:19,480 --> 00:18:23,600 Speaker 2: using the mantis X, so those skills get sharper fast. Look, 381 00:18:23,640 --> 00:18:25,119 Speaker 2: I have one at home and I love it. I 382 00:18:25,200 --> 00:18:27,040 Speaker 2: use it whenever I can so I can make sure 383 00:18:27,040 --> 00:18:28,760 Speaker 2: that I get the most out of my range business 384 00:18:28,760 --> 00:18:30,880 Speaker 2: and keep my skills as sharp as possible. 385 00:18:31,200 --> 00:18:32,120 Speaker 3: It's easy to use. 386 00:18:32,160 --> 00:18:35,080 Speaker 2: You save money on Ammo and you same time save 387 00:18:35,160 --> 00:18:37,840 Speaker 2: time at the rage. The mantis X is a must 388 00:18:37,880 --> 00:18:41,399 Speaker 2: have for every gun owner. Start improving your shooting accuracy today. 389 00:18:41,640 --> 00:18:44,320 Speaker 2: Get yours at mantisx dot com. That's m a n 390 00:18:44,440 --> 00:18:48,080 Speaker 2: tisx dot com. Welcome back, everybody. We got our friend 391 00:18:48,080 --> 00:18:50,680 Speaker 2: Miranda Devine with us now from The New York Post, 392 00:18:50,720 --> 00:18:55,000 Speaker 2: where she's a columnist also the author of Laptop from Hell. Miranda, 393 00:18:55,080 --> 00:18:56,280 Speaker 2: great to talk to you. We've got a couple of 394 00:18:56,320 --> 00:18:58,919 Speaker 2: things to run by you today. Thanks for being with us. 395 00:18:59,440 --> 00:19:00,760 Speaker 4: Go great, be with you both. 396 00:19:01,280 --> 00:19:02,720 Speaker 3: So let's start with this one. 397 00:19:03,200 --> 00:19:06,520 Speaker 2: There was some reporting on Joe Biden paying two point 398 00:19:06,600 --> 00:19:10,840 Speaker 2: seventy five million dollars cash for his Rehoboth Beach house, 399 00:19:11,640 --> 00:19:15,320 Speaker 2: and there's also some stuff out there about money moving 400 00:19:15,359 --> 00:19:19,720 Speaker 2: around between various members of the Biden family. Basically, to 401 00:19:19,760 --> 00:19:22,479 Speaker 2: take this at the thirty thousand foot level, is the 402 00:19:22,480 --> 00:19:25,639 Speaker 2: money trail starting to become a bigger problem for the 403 00:19:25,680 --> 00:19:29,080 Speaker 2: Biden family or is this still kind of status quo. 404 00:19:30,560 --> 00:19:33,240 Speaker 4: Look, I think it's a real problem for them. And 405 00:19:34,040 --> 00:19:39,440 Speaker 4: James Comer, the House Oversight Committee chairman, is just dogged. 406 00:19:39,680 --> 00:19:41,960 Speaker 4: He's like a dog with a bone. He has a 407 00:19:42,000 --> 00:19:46,760 Speaker 4: background in banking, and he's just doing the pursuit of 408 00:19:46,760 --> 00:19:50,280 Speaker 4: the money. He's following the money trail, and he's, you know, 409 00:19:50,440 --> 00:19:52,560 Speaker 4: every now and then he just comes up with gold 410 00:19:53,040 --> 00:19:57,480 Speaker 4: and added together, what it gives you is a picture 411 00:19:57,760 --> 00:20:02,760 Speaker 4: of something very different about Joe Biden's involvement in the 412 00:20:02,800 --> 00:20:07,439 Speaker 4: family's influence peddling operation. He has claimed he knew nothing 413 00:20:07,480 --> 00:20:12,679 Speaker 4: about it. Squeaky clean, modest, Joe, honest, Joe, you know, 414 00:20:12,880 --> 00:20:15,840 Speaker 4: the poorest man in Congress, and in fact, what we 415 00:20:15,880 --> 00:20:19,240 Speaker 4: see is money changing hands between him and his brother, 416 00:20:19,359 --> 00:20:21,680 Speaker 4: two hundred thousand dollars. They say it was a loan, 417 00:20:23,480 --> 00:20:26,440 Speaker 4: but there's no evidence that it's alone. The White House 418 00:20:26,520 --> 00:20:32,800 Speaker 4: is demanding that James Comer produce some other document that 419 00:20:32,880 --> 00:20:33,960 Speaker 4: shows that it's alone. 420 00:20:34,040 --> 00:20:36,280 Speaker 5: But why why don't Why doesn't. 421 00:20:36,000 --> 00:20:40,359 Speaker 4: The White House produce these documents if they're supposedly exculpatory. 422 00:20:41,160 --> 00:20:45,000 Speaker 4: And then you know the case about Joe Biden paid 423 00:20:45,080 --> 00:20:48,679 Speaker 4: three million dollars in cash for that reb Beach house 424 00:20:48,760 --> 00:20:52,040 Speaker 4: that he's always at on weekends, and that was he 425 00:20:52,160 --> 00:20:56,960 Speaker 4: paid that just seven weeks before. 426 00:20:57,280 --> 00:20:57,960 Speaker 5: We didn't pay it. 427 00:20:58,040 --> 00:21:02,280 Speaker 4: The house was bought just seven weeks before. Hunter Biden 428 00:21:03,080 --> 00:21:07,679 Speaker 4: sent that insistent, kind of desperate shakedown WhatsApp to a 429 00:21:07,760 --> 00:21:12,080 Speaker 4: Chinese associate demanding money and saying that he was sitting 430 00:21:12,119 --> 00:21:16,439 Speaker 4: next to his father and that his father was also 431 00:21:16,680 --> 00:21:20,800 Speaker 4: demanding to know why the commitment made for this ten 432 00:21:20,880 --> 00:21:24,840 Speaker 4: million dollar deal had not been fulfilled, had not been paid. 433 00:21:24,880 --> 00:21:28,680 Speaker 4: And then within a couple of weeks money started being 434 00:21:28,720 --> 00:21:33,440 Speaker 4: paid from these Chinese associates. And then a few weeks 435 00:21:33,440 --> 00:21:37,000 Speaker 4: after that, Joe Biden pays cash for this Rehoboth Beach 436 00:21:37,000 --> 00:21:41,320 Speaker 4: house Now you know that's circumstantial evidence, but it's still 437 00:21:42,440 --> 00:21:46,120 Speaker 4: raises questions. You have to say to Joe Biden, where 438 00:21:46,119 --> 00:21:48,840 Speaker 4: did you get the money? And it's really you know, 439 00:21:49,119 --> 00:21:54,199 Speaker 4: if he doesn't want these rumors and theories to be 440 00:21:54,520 --> 00:21:59,200 Speaker 4: abounding every time there's a new sort of dodgy financial 441 00:21:59,280 --> 00:22:03,200 Speaker 4: transaction dug up by James Comer, then I don't understand 442 00:22:03,320 --> 00:22:07,000 Speaker 4: why the White House just doesn't come clean and say, look, 443 00:22:07,080 --> 00:22:11,040 Speaker 4: that's completely innocent. Here are the loan papers. Here's the 444 00:22:11,160 --> 00:22:13,840 Speaker 4: evidence that Joe Biden got a loan from his brother 445 00:22:14,800 --> 00:22:17,639 Speaker 4: and was paying it back or the other way around. 446 00:22:18,920 --> 00:22:22,680 Speaker 4: Here's you know, Joe Biden paid cash for this beach 447 00:22:22,800 --> 00:22:28,320 Speaker 4: house because he came into an inheritance or something. You know, 448 00:22:28,720 --> 00:22:35,119 Speaker 4: just tell us, explain why, and stop acting all outraged 449 00:22:35,240 --> 00:22:38,320 Speaker 4: that people are questioning your integrity, because this is a 450 00:22:38,320 --> 00:22:43,200 Speaker 4: president who lies about everything and whose family has accepted 451 00:22:43,280 --> 00:22:48,240 Speaker 4: that's completely proven, has taken in millions of dollars from 452 00:22:48,400 --> 00:22:51,840 Speaker 4: America's adversaries while while Joe Biden was Vice president. 453 00:22:52,400 --> 00:22:54,560 Speaker 1: Miranda, what did you thanks for joining us here? What 454 00:22:54,600 --> 00:22:57,159 Speaker 1: did you think about the New York Times admitting that 455 00:22:57,240 --> 00:23:01,600 Speaker 1: they over relied on a hamas report about a hospital 456 00:23:01,640 --> 00:23:05,720 Speaker 1: getting hit. It's basically an apology. How many other things 457 00:23:05,760 --> 00:23:07,840 Speaker 1: do you think the New York Times should apologize on. 458 00:23:07,960 --> 00:23:10,160 Speaker 1: I don't think they've returned any of the Pulitzers they 459 00:23:10,200 --> 00:23:13,440 Speaker 1: won for the Russia collusion. Wise, I certainly don't think 460 00:23:13,480 --> 00:23:16,240 Speaker 1: they've ever issued a public apology about the way they 461 00:23:16,280 --> 00:23:20,760 Speaker 1: covered The New York Post's expose on the Hunter Biden laptop. 462 00:23:21,600 --> 00:23:23,560 Speaker 1: There's any number of things out there that The New 463 00:23:23,640 --> 00:23:27,520 Speaker 1: York Times has clearly failed when a COVID coverage, for sure, 464 00:23:28,040 --> 00:23:30,320 Speaker 1: what did you think about that acknowledgment? And what does 465 00:23:30,359 --> 00:23:33,200 Speaker 1: it say that they did acknowledge errors there? 466 00:23:34,320 --> 00:23:35,280 Speaker 5: Well, look, it. 467 00:23:35,240 --> 00:23:39,240 Speaker 4: Was barely an apology and it was obvious from the 468 00:23:39,280 --> 00:23:44,520 Speaker 4: start that they should have been cautious about reporting on 469 00:23:44,640 --> 00:23:51,520 Speaker 4: that Hamas hospital strike, which basically was Hammers's own missiles, 470 00:23:51,960 --> 00:23:54,280 Speaker 4: and it was in the car park, so you could 471 00:23:54,320 --> 00:23:57,399 Speaker 4: just call it a car park fire, parking lot fire. 472 00:23:58,280 --> 00:24:01,160 Speaker 4: You know, they lied Hammers and said I think seven 473 00:24:01,280 --> 00:24:04,199 Speaker 4: hundred people had died, children had died. It was just 474 00:24:04,359 --> 00:24:07,760 Speaker 4: all lies. And as usual the New York Times, when 475 00:24:07,800 --> 00:24:12,000 Speaker 4: it suits their ideology, they are incredibly gullible. They just 476 00:24:12,119 --> 00:24:14,320 Speaker 4: take these terrorists. 477 00:24:13,760 --> 00:24:17,159 Speaker 5: At their word, just like they. 478 00:24:17,040 --> 00:24:21,440 Speaker 4: Took the Steel Dossiere at its word, which was preposterous 479 00:24:21,440 --> 00:24:25,160 Speaker 4: from the start. And you know, for the New York 480 00:24:25,200 --> 00:24:29,080 Speaker 4: Times to parade around as if it's the arbiter of 481 00:24:29,160 --> 00:24:36,040 Speaker 4: fine journalism and to continually print lies as if they're 482 00:24:36,080 --> 00:24:38,720 Speaker 4: true and then cover up afterwards. And it was that 483 00:24:38,840 --> 00:24:43,119 Speaker 4: old saying from Winston Churchill that lies halfway around. 484 00:24:42,840 --> 00:24:44,919 Speaker 5: The world before the truth gets its pants on. 485 00:24:46,160 --> 00:24:48,880 Speaker 4: It's very difficult. Once the New York Times has put 486 00:24:48,920 --> 00:24:52,240 Speaker 4: that Hamice hospital story on its front page with a 487 00:24:52,280 --> 00:24:53,920 Speaker 4: photograph of a bombed. 488 00:24:53,560 --> 00:24:57,880 Speaker 5: Out building that that was not the hospital, it. 489 00:24:57,840 --> 00:25:00,439 Speaker 4: Was elsewhere, and sort of in the caption in small 490 00:25:00,480 --> 00:25:03,400 Speaker 4: print it says, oh, you know this building in such 491 00:25:03,400 --> 00:25:06,840 Speaker 4: and such a place. But anybody looking at the front 492 00:25:06,840 --> 00:25:09,119 Speaker 4: page of the New York Times, that was so misleading 493 00:25:09,359 --> 00:25:12,280 Speaker 4: because there's the photograph of a bombed out building, there's 494 00:25:12,359 --> 00:25:14,800 Speaker 4: the headline underneath about this bombed. 495 00:25:14,560 --> 00:25:16,720 Speaker 5: Out hospital and you know, seven hundred people dead. 496 00:25:17,080 --> 00:25:19,760 Speaker 4: Of course, the average reader is going to take that 497 00:25:19,840 --> 00:25:22,720 Speaker 4: as horrendous. I did when I first saw it. I thought, 498 00:25:22,760 --> 00:25:23,720 Speaker 4: oh it must be true. 499 00:25:23,760 --> 00:25:26,680 Speaker 5: You know, it's it's so dishonest. 500 00:25:26,680 --> 00:25:30,439 Speaker 4: They are propaganda rag and you know, it's not just 501 00:25:30,520 --> 00:25:34,400 Speaker 4: the New York Times so ap insists on calling hamas 502 00:25:34,560 --> 00:25:36,520 Speaker 4: terrorists militants. 503 00:25:37,400 --> 00:25:38,639 Speaker 5: And yet, as you. 504 00:25:38,640 --> 00:25:41,520 Speaker 4: Know, Jonathan Turley pointed out, they were very happy to 505 00:25:42,520 --> 00:25:46,239 Speaker 4: call the riot on January sixth, twenty twenty one at 506 00:25:46,240 --> 00:25:49,280 Speaker 4: the Capitol and insurrection, and they wanted to use even 507 00:25:49,320 --> 00:25:53,760 Speaker 4: stronger language. And yet they didn't. They didn't like anybody 508 00:25:53,960 --> 00:25:57,560 Speaker 4: using the term riot to describe the summer of riots 509 00:25:58,080 --> 00:26:00,560 Speaker 4: that happened in twenty twenty. They wanted to call them, 510 00:26:00,600 --> 00:26:03,880 Speaker 4: you know, unrest or peaceful demonstrations. 511 00:26:05,480 --> 00:26:07,840 Speaker 2: Speaking to Miranda Devine of The New York Post and Marenda, 512 00:26:07,880 --> 00:26:09,440 Speaker 2: I also want to ask you, because your most recent 513 00:26:09,440 --> 00:26:13,240 Speaker 2: column was on this. Sidney Powell has pleaded guilty. Jenna 514 00:26:13,280 --> 00:26:19,159 Speaker 2: Ellis has pleaded guilty in the Georgia election racketeering case. 515 00:26:19,720 --> 00:26:23,000 Speaker 2: But for people who think that that is specifically Sidney 516 00:26:23,040 --> 00:26:26,000 Speaker 2: Powell plea is a big deal for Trump, you say 517 00:26:26,400 --> 00:26:27,159 Speaker 2: not so fast. 518 00:26:28,960 --> 00:26:34,440 Speaker 4: Well, no, basically I think that they know they slapped 519 00:26:34,440 --> 00:26:37,879 Speaker 4: felonies on all these lawyers around Trump and people like 520 00:26:38,000 --> 00:26:41,879 Speaker 4: Mark Meadows and just to intimidate them, and then you 521 00:26:42,119 --> 00:26:46,600 Speaker 4: force them to plead guilty to a misdemeanor and of 522 00:26:46,640 --> 00:26:51,080 Speaker 4: course then testify against Trump, and it's just a familiar 523 00:26:51,320 --> 00:26:54,920 Speaker 4: rust to put pressure on their target, which of course 524 00:26:55,000 --> 00:26:58,280 Speaker 4: is Trump, and make him feel like he's isolated and 525 00:26:58,320 --> 00:27:02,000 Speaker 4: everyone's betraying him. But the fact is, when it comes 526 00:27:02,000 --> 00:27:04,919 Speaker 4: to Sydney Powell anyway, she's not going to be a 527 00:27:04,920 --> 00:27:09,720 Speaker 4: great witness because all her nonsense about the Kraken and 528 00:27:10,119 --> 00:27:13,800 Speaker 4: you know, the voting machines that were hacked by I 529 00:27:13,840 --> 00:27:18,720 Speaker 4: don't know, Hugo Chavez's ghost or something that was very 530 00:27:18,760 --> 00:27:24,119 Speaker 4: early on just dismissed by Rudy Giuliani. Initially, he fired her, 531 00:27:25,119 --> 00:27:29,120 Speaker 4: and then when she somehow managed to inveigel her way 532 00:27:29,160 --> 00:27:32,280 Speaker 4: into the White House in that sort of stormy meeting 533 00:27:32,680 --> 00:27:38,159 Speaker 4: in December of twenty twenty, when she was asking Trump 534 00:27:38,280 --> 00:27:42,000 Speaker 4: to make her a special counsel in charge of investigating 535 00:27:42,000 --> 00:27:46,119 Speaker 4: the election and overturning the election, and saying that he 536 00:27:46,119 --> 00:27:49,879 Speaker 4: should be sending the military in to see his voting machines, 537 00:27:49,960 --> 00:27:54,520 Speaker 4: just all this nonsense, and Trump called Rudy Giuliani on 538 00:27:54,560 --> 00:27:56,280 Speaker 4: the phone and got him to rush over to the 539 00:27:56,280 --> 00:27:59,840 Speaker 4: White House to sort of mediate in this dispute that 540 00:28:00,160 --> 00:28:04,920 Speaker 4: grown up between Sydney Powell and Patrick Byrne and General 541 00:28:04,960 --> 00:28:08,520 Speaker 4: Flynn on one side trying to pressure Trump to do 542 00:28:08,560 --> 00:28:10,920 Speaker 4: these crazy things, and on the other side you had 543 00:28:11,119 --> 00:28:14,639 Speaker 4: the White House Counsel Pat Sippiloni and his people just 544 00:28:14,840 --> 00:28:17,480 Speaker 4: in a screaming match with them, telling them no one nuts. 545 00:28:18,000 --> 00:28:21,920 Speaker 4: And so Trump asked Juliani to come over and mediate. 546 00:28:22,040 --> 00:28:25,639 Speaker 4: He did that. He soon realized that Sydney Powell had 547 00:28:25,680 --> 00:28:28,359 Speaker 4: never had any evidence for the stuff she was saying, 548 00:28:28,760 --> 00:28:33,200 Speaker 4: and he told Trump so, and Trump basically threw Sydney 549 00:28:33,200 --> 00:28:37,159 Speaker 4: Powell out, firing her for the he firing for the 550 00:28:37,200 --> 00:28:39,720 Speaker 4: first time, Rudy firing her for the third to the 551 00:28:39,760 --> 00:28:44,440 Speaker 4: second time. You know, she didn't have any credibility. Her 552 00:28:44,520 --> 00:28:48,040 Speaker 4: nonsense never got far, and so what has she got 553 00:28:48,040 --> 00:28:50,960 Speaker 4: to say. She can say, well, I tried to get 554 00:28:50,960 --> 00:28:54,080 Speaker 4: the President to do these crazy things, but he said no. 555 00:28:54,360 --> 00:28:55,560 Speaker 5: So I don't think it's going to be. 556 00:28:55,600 --> 00:28:59,840 Speaker 4: Very harmful, certainly not from what Rudy Giuliani said under 557 00:28:59,840 --> 00:29:04,480 Speaker 4: over to the January sixth Committee and repeated to Jacksmith's 558 00:29:04,480 --> 00:29:05,240 Speaker 4: Special counsel. 559 00:29:05,880 --> 00:29:08,240 Speaker 1: What you just all laid out, Miranda is so interesting, 560 00:29:08,240 --> 00:29:10,880 Speaker 1: and we're coming up against it here. So I just 561 00:29:10,880 --> 00:29:14,120 Speaker 1: want to ask you big picture You've covered these stories 562 00:29:14,120 --> 00:29:17,040 Speaker 1: for a long time, you're intimately involved in so many 563 00:29:17,080 --> 00:29:17,440 Speaker 1: of them. 564 00:29:18,120 --> 00:29:21,040 Speaker 3: Do you think that what happens. 565 00:29:20,560 --> 00:29:24,480 Speaker 1: In these Trump trials, assuming that it's Trump v. Biden 566 00:29:24,560 --> 00:29:27,680 Speaker 1: in twenty twenty four, is going to impact the way 567 00:29:27,720 --> 00:29:30,440 Speaker 1: that people vote? Or do you think everybody's just kind 568 00:29:30,480 --> 00:29:32,440 Speaker 1: of made up their minds one way or the other 569 00:29:32,520 --> 00:29:35,080 Speaker 1: about Trump and Biden and this is all a big 570 00:29:35,160 --> 00:29:37,960 Speaker 1: side show, but in terms of actual voting, it's not 571 00:29:38,000 --> 00:29:40,400 Speaker 1: going to have much impact at all. 572 00:29:40,520 --> 00:29:42,680 Speaker 4: Look, I think you've got to say it will have 573 00:29:42,760 --> 00:29:47,080 Speaker 4: an impact, but you know, I think it has to 574 00:29:47,160 --> 00:29:48,840 Speaker 4: take a toll on Donald Trump. 575 00:29:48,960 --> 00:29:52,080 Speaker 5: All these court cases they're. 576 00:29:51,800 --> 00:29:55,719 Speaker 4: Designed to undermine him. And although he's incredibly resilient, and 577 00:29:55,760 --> 00:30:00,000 Speaker 4: although he's savvy enough to be using these court appearances 578 00:30:00,080 --> 00:30:04,480 Speaker 4: as as part of a free publicity for his campaign, 579 00:30:05,360 --> 00:30:08,760 Speaker 4: at some point it's going to drown out his message. 580 00:30:08,760 --> 00:30:11,880 Speaker 4: I mean, he has a fantastic message, which is, you know, 581 00:30:12,160 --> 00:30:14,520 Speaker 4: do you miss me yet? Look how good things were 582 00:30:14,560 --> 00:30:17,719 Speaker 4: when I was president. There were no wars there, you know, 583 00:30:17,760 --> 00:30:21,200 Speaker 4: the economy was singing. And look at Biden now, who's 584 00:30:21,520 --> 00:30:25,760 Speaker 4: just half cooked, and you know, he just seems to 585 00:30:25,760 --> 00:30:30,360 Speaker 4: be constantly talking about and in the frame for these 586 00:30:30,400 --> 00:30:35,880 Speaker 4: court cases, which just really reinforce the hatred of him 587 00:30:36,000 --> 00:30:40,960 Speaker 4: by the never trumpers. And you know, I think while 588 00:30:41,000 --> 00:30:46,800 Speaker 4: Donald Trump has a huge pull among his followers, I 589 00:30:46,840 --> 00:30:51,120 Speaker 4: think he has an equal pull with the people who 590 00:30:51,880 --> 00:30:55,280 Speaker 4: hate him, his detractors. And he's the best get out 591 00:30:55,320 --> 00:30:57,520 Speaker 4: the vote weapon that the Democrats have. 592 00:30:59,400 --> 00:30:59,680 Speaker 3: Devine. 593 00:30:59,680 --> 00:31:02,040 Speaker 2: Everybody go check out her latest at the New York Post, Marna, 594 00:31:02,040 --> 00:31:02,880 Speaker 2: thanks for being with us. 595 00:31:03,280 --> 00:31:03,880 Speaker 4: Thanks guys. 596 00:31:05,280 --> 00:31:08,040 Speaker 2: Wise man once said a man doesn't need brilliance or genius, 597 00:31:08,080 --> 00:31:10,440 Speaker 2: all he needs is energy. Well, look, I might debate 598 00:31:10,480 --> 00:31:13,000 Speaker 2: that you also want intelligence and common sense too, but 599 00:31:13,320 --> 00:31:16,120 Speaker 2: there's no debating that you definitely need energy. You gotta 600 00:31:16,160 --> 00:31:17,840 Speaker 2: have it, end of story, or else you're not going 601 00:31:17,840 --> 00:31:19,479 Speaker 2: to get through the day the way you need to. 602 00:31:20,000 --> 00:31:22,040 Speaker 2: And a lot of a man's energy and drive comes 603 00:31:22,040 --> 00:31:25,480 Speaker 2: from testosterol levels. And when that's lacking, which happens as 604 00:31:25,480 --> 00:31:27,720 Speaker 2: we age, you really feel it. But you can do 605 00:31:27,760 --> 00:31:31,240 Speaker 2: something about that with chalk daily supplements. The male Vitality 606 00:31:31,240 --> 00:31:34,160 Speaker 2: stack is formulated specifically for men that are experiencing a 607 00:31:34,200 --> 00:31:36,920 Speaker 2: decline in their te levels. 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That's thirty five percent off 617 00:32:05,800 --> 00:32:09,400 Speaker 2: for life at chalkchoq dot com. Use my name Buck 618 00:32:09,560 --> 00:32:13,959 Speaker 2: as the promo code. Learn, laugh and join us on 619 00:32:14,000 --> 00:32:17,840 Speaker 2: the weekend on our Sunday Hang with Clay and Buck podcast, 620 00:32:17,960 --> 00:32:20,440 Speaker 2: Fight It on the iHeart ATAM or wherever you get 621 00:32:20,480 --> 00:32:21,440 Speaker 2: your podcasts. 622 00:32:21,760 --> 00:32:27,320 Speaker 1: Welcome back in your long national nightmare is over. You 623 00:32:27,480 --> 00:32:32,120 Speaker 1: now have the nation does a new Speaker of the 624 00:32:32,240 --> 00:32:37,800 Speaker 1: House three weeks after Kevin McCarthy was removed from office? 625 00:32:38,720 --> 00:32:41,400 Speaker 1: I believe staff correct me. I'm trying to catch up 626 00:32:41,480 --> 00:32:44,920 Speaker 1: as the As the votes have been rolling in, I 627 00:32:44,960 --> 00:32:50,160 Speaker 1: believe it is nearly unanimous that your new Speaker of 628 00:32:50,200 --> 00:32:56,600 Speaker 1: the House is Republican Republican Congressman from Louisiana, Mike Johnson. 629 00:32:57,120 --> 00:33:00,040 Speaker 1: And I do not believe very many of you, including 630 00:33:00,080 --> 00:33:03,840 Speaker 1: both Buck and myself, would be able to have recognized 631 00:33:03,920 --> 00:33:10,040 Speaker 1: him in a lineup. He is relatively anonymous and uh, 632 00:33:10,040 --> 00:33:12,640 Speaker 1: but he is now the Speaker of the House. 633 00:33:13,240 --> 00:33:14,560 Speaker 3: Three weeks later, Buck. 634 00:33:14,680 --> 00:33:17,440 Speaker 2: I'm seeing some I'm seeing some left wing oppo popping 635 00:33:17,520 --> 00:33:19,640 Speaker 2: up on him online and I'm liking it, you know 636 00:33:19,680 --> 00:33:21,680 Speaker 2: what I mean? This is the great Like, this guy 637 00:33:21,800 --> 00:33:25,360 Speaker 2: is horrible. He's like pro life, and I'm trying to 638 00:33:25,360 --> 00:33:28,840 Speaker 2: think what else. You know, he's calling him an election denier. 639 00:33:28,880 --> 00:33:31,440 Speaker 2: That's always that's always fun. There's a bunch of stuff. 640 00:33:31,480 --> 00:33:35,640 Speaker 2: So the more the left hates him, the better I 641 00:33:35,680 --> 00:33:38,360 Speaker 2: feel about this. So I want I want to see 642 00:33:38,400 --> 00:33:42,440 Speaker 2: as much opo on Mike Johnson the new Speaker as 643 00:33:42,440 --> 00:33:44,040 Speaker 2: possible the next twenty four hours. 644 00:33:44,080 --> 00:33:46,120 Speaker 3: Coming all of a sudden, he'll be talking about things. 645 00:33:46,560 --> 00:33:50,200 Speaker 2: Mike Johnson's horrible, he believes in a secure border, you know, 646 00:33:50,240 --> 00:33:50,920 Speaker 2: whatever it is. 647 00:33:51,360 --> 00:33:52,880 Speaker 3: I'm hoping we see a lot of that. That'll make 648 00:33:52,920 --> 00:33:53,520 Speaker 3: me feel better. 649 00:33:54,160 --> 00:33:57,920 Speaker 1: Yeah, And and look, I mean the three weeks where 650 00:33:57,920 --> 00:34:01,280 Speaker 1: we didn't have a speaker, Uh, a lot of that 651 00:34:01,440 --> 00:34:05,360 Speaker 1: ended up being snowed under by all the chaos in Israel. Right, So, 652 00:34:05,680 --> 00:34:10,440 Speaker 1: I think for it would be a both scary and 653 00:34:10,680 --> 00:34:17,720 Speaker 1: also interesting poll. How many people could name ever Kevin 654 00:34:17,800 --> 00:34:20,719 Speaker 1: McCarthy as the Speaker of the House. I bet no 655 00:34:20,800 --> 00:34:22,480 Speaker 1: more than ten percent of Americans. 656 00:34:23,200 --> 00:34:24,360 Speaker 3: And how many. 657 00:34:24,160 --> 00:34:28,480 Speaker 1: People could now name Mike Johnson as the Speaker of 658 00:34:28,520 --> 00:34:32,160 Speaker 1: the House by the time we get to the elections 659 00:34:32,160 --> 00:34:35,000 Speaker 1: in twenty four Bucks, assuming he's still the Speaker, I 660 00:34:35,000 --> 00:34:39,120 Speaker 1: bet it'll be way less than ten percent. Yeah, So, 661 00:34:39,400 --> 00:34:42,160 Speaker 1: I think the biggest takeaway is going to be one 662 00:34:42,239 --> 00:34:44,680 Speaker 1: what kind of negotiator is Because what we've been saying 663 00:34:44,719 --> 00:34:47,000 Speaker 1: on this show for some time is it's not as 664 00:34:47,040 --> 00:34:48,880 Speaker 1: if the Senate is in control, it's not as if 665 00:34:48,880 --> 00:34:51,239 Speaker 1: the White House is in control. The power of any 666 00:34:51,280 --> 00:34:55,000 Speaker 1: speaker is limited by the fact that Democrats control two 667 00:34:55,000 --> 00:34:57,480 Speaker 1: thirds of the of the branches of government right now. 668 00:34:57,520 --> 00:35:01,320 Speaker 1: That are the most significant terms of the legislative branch 669 00:35:01,680 --> 00:35:05,920 Speaker 1: and Buck, I think the big challenge for Democrats is 670 00:35:05,960 --> 00:35:07,799 Speaker 1: going to be I think it's gonna be hard to 671 00:35:07,880 --> 00:35:10,320 Speaker 1: brand this guy in a way that he's going to 672 00:35:10,400 --> 00:35:12,920 Speaker 1: have much impact in the House of Representatives. 673 00:35:13,080 --> 00:35:15,120 Speaker 3: The Speaker doesn't really. I don't think that the speaker. 674 00:35:15,840 --> 00:35:19,160 Speaker 2: They were saying this about Jim Jordan, but you're not 675 00:35:19,160 --> 00:35:21,480 Speaker 2: gonna lose a lot of racist based on who the 676 00:35:21,800 --> 00:35:24,400 Speaker 2: people vote for the congressmen in their district that they want, right. 677 00:35:24,440 --> 00:35:27,200 Speaker 1: I don't know, but Nancy Pelosi was an effective weapon 678 00:35:27,280 --> 00:35:29,839 Speaker 1: I think for Republicans to use. I don't even think 679 00:35:29,880 --> 00:35:32,160 Speaker 1: Mike Johnson's gonna be named. It's going to be all 680 00:35:32,239 --> 00:35:34,960 Speaker 1: Trump right like in twenty twenty four, assuming Trump is 681 00:35:35,000 --> 00:35:39,200 Speaker 1: the nominee. Uh, this is not somebody who's gonna be 682 00:35:39,840 --> 00:35:42,600 Speaker 1: a lightning rod an effective for us. 683 00:35:42,640 --> 00:35:45,040 Speaker 2: But she also managed to be speaker a lot, so 684 00:35:45,080 --> 00:35:48,520 Speaker 2: I don't know how effective the weapon was. I would 685 00:35:48,520 --> 00:35:52,279 Speaker 2: just point out that with Mike Johnson, he has the 686 00:35:52,360 --> 00:35:56,480 Speaker 2: advantage of all he has to do is seems like 687 00:35:56,520 --> 00:35:58,680 Speaker 2: he's better than the last guy did last very long, 688 00:35:58,960 --> 00:36:03,120 Speaker 2: and people say, oh, he's exceeding expectations, right, So no, 689 00:36:03,200 --> 00:36:05,920 Speaker 2: he's not coming in with everyone assuming that this is 690 00:36:05,960 --> 00:36:11,160 Speaker 2: going to be like a revolution in Republican politics underway here. 691 00:36:11,200 --> 00:36:14,200 Speaker 3: He's just he's just got to be pretty good. And 692 00:36:14,239 --> 00:36:15,440 Speaker 3: people say, oh, look at that. 693 00:36:16,480 --> 00:36:19,880 Speaker 1: He got every Republican vote by the way, So a 694 00:36:20,520 --> 00:36:26,640 Speaker 1: unanimous ballot fourth choice, Mike Johnson. Every single Republican in 695 00:36:26,719 --> 00:36:28,879 Speaker 1: the House voted for him, and now. 696 00:36:29,520 --> 00:36:31,560 Speaker 3: Everybody likes him. So that's all you need to know. 697 00:36:31,920 --> 00:36:34,960 Speaker 1: We'll see what happens too with the that's right, we'll 698 00:36:34,960 --> 00:36:37,800 Speaker 1: see what happens with the Democrats side. 699 00:36:37,800 --> 00:36:38,920 Speaker 3: Now, right, do they think. 700 00:36:38,800 --> 00:36:41,719 Speaker 1: They actually got a more difficult vote than Kevin McCarthy, 701 00:36:41,719 --> 00:36:43,320 Speaker 1: because remember, they let this happen. 702 00:36:43,600 --> 00:36:45,480 Speaker 3: We'll see going forward whether it was a good move 703 00:36:45,560 --> 00:36:45,759 Speaker 3: app