1 00:00:00,520 --> 00:00:04,560 Speaker 1: Welcome everybody. Thursday edition of the Klay, Travis and Buck 2 00:00:04,600 --> 00:00:07,600 Speaker 1: Sexton Show kicks off now, and we've got a lot 3 00:00:07,640 --> 00:00:12,120 Speaker 1: to break down with all of you, our friends plural there. 4 00:00:12,160 --> 00:00:14,319 Speaker 1: I to make sure that through Floral, our friends Julie 5 00:00:14,400 --> 00:00:17,000 Speaker 1: Kelly and Ryan Grodowski be joining Julie in the second 6 00:00:17,000 --> 00:00:20,960 Speaker 1: hour on the judicial coup that is still very much 7 00:00:21,040 --> 00:00:24,159 Speaker 1: underway and a major challenge for the Trump agenda, but 8 00:00:24,200 --> 00:00:26,640 Speaker 1: one I think that they are up to the task 9 00:00:26,920 --> 00:00:30,560 Speaker 1: of tackling. And then Ryan Grodusky on some of the numbers, 10 00:00:30,600 --> 00:00:34,360 Speaker 1: including Clay that discussion yesterday that we had. I had 11 00:00:34,360 --> 00:00:36,480 Speaker 1: a lot of people reaching out to me off air, 12 00:00:36,520 --> 00:00:39,479 Speaker 1: either about hearing us on the show talking about that 13 00:00:39,680 --> 00:00:43,240 Speaker 1: or even just in my life who had seen those numbers. 14 00:00:43,680 --> 00:00:45,839 Speaker 1: And we got to put some of these questions out 15 00:00:45,840 --> 00:00:50,040 Speaker 1: there again, like college educated white women. Zelensky is the 16 00:00:50,080 --> 00:00:52,240 Speaker 1: thing that they are the biggest outliers on how much 17 00:00:52,280 --> 00:00:57,000 Speaker 1: they love Voladimir Zelenski. There's some crazy and DEI those 18 00:00:57,480 --> 00:01:00,960 Speaker 1: go together. I think also, I saw today and it 19 00:01:01,000 --> 00:01:03,240 Speaker 1: ties in with what we were talking about yesterday. I 20 00:01:03,280 --> 00:01:07,920 Speaker 1: think because I said, if we overlaid the different groups, 21 00:01:08,000 --> 00:01:10,080 Speaker 1: I think what you would find is that white college 22 00:01:10,160 --> 00:01:13,840 Speaker 1: educated women are the least happy of all of those groups, 23 00:01:13,880 --> 00:01:17,760 Speaker 1: whether it's non college educated white men and women or 24 00:01:17,880 --> 00:01:20,160 Speaker 1: men who went to college. Did you see this today, 25 00:01:20,200 --> 00:01:24,319 Speaker 1: Bucket's actually really kind of sad. The United States overall 26 00:01:24,400 --> 00:01:28,280 Speaker 1: happiness index, to the extent that they track this hit 27 00:01:28,319 --> 00:01:31,960 Speaker 1: a all time low, and it's being driven by people 28 00:01:32,200 --> 00:01:34,959 Speaker 1: under the age of thirty. And I would bet that 29 00:01:35,040 --> 00:01:39,440 Speaker 1: it's women under the age of thirty overwhelmingly who are unhappy. 30 00:01:39,480 --> 00:01:41,520 Speaker 1: And I think it's hard not to believe at this 31 00:01:41,680 --> 00:01:45,399 Speaker 1: point that all of this isn't directly connected to social media. 32 00:01:46,080 --> 00:01:48,680 Speaker 1: I mean, if you go look at the charts overall 33 00:01:48,720 --> 00:01:52,280 Speaker 1: mental health rates. Now certainly COVID didn't help, but overall 34 00:01:52,320 --> 00:01:57,480 Speaker 1: mental health rates just collapsed about twenty fourteen when social 35 00:01:57,520 --> 00:02:01,000 Speaker 1: media became prevalent in everybody's lives. And I think we're 36 00:02:01,000 --> 00:02:03,400 Speaker 1: going to find out that this is like the nicotine 37 00:02:03,480 --> 00:02:08,000 Speaker 1: or cigarettes of our generation, where we allowed these phones 38 00:02:08,040 --> 00:02:10,840 Speaker 1: and the social media apps, particularly for young people, to 39 00:02:10,919 --> 00:02:13,680 Speaker 1: really kind of lead us astray in terms of our 40 00:02:13,720 --> 00:02:17,400 Speaker 1: life's pursuits. So there's an early big picture idea that 41 00:02:17,680 --> 00:02:20,880 Speaker 1: I think ties in with yesterday. So we've also got 42 00:02:21,160 --> 00:02:23,799 Speaker 1: some updates on the border, Tom Holman pointing out that 43 00:02:24,320 --> 00:02:28,880 Speaker 1: they are rocking on all cylinders here to enforce the law, 44 00:02:28,919 --> 00:02:32,280 Speaker 1: comparing it to Biden. We'll give you those updates. Trump 45 00:02:32,400 --> 00:02:36,080 Speaker 1: on the recession that people are predicting. It is not 46 00:02:36,120 --> 00:02:39,560 Speaker 1: a recession. He is not worried at all, which is 47 00:02:39,600 --> 00:02:42,080 Speaker 1: I'm sure not a surprise to any of you. The 48 00:02:42,120 --> 00:02:44,960 Speaker 1: war against Tesla, which we discussed a bit yesterday, there's 49 00:02:44,960 --> 00:02:49,200 Speaker 1: more on that. It is just insane and destructive and 50 00:02:49,280 --> 00:02:53,200 Speaker 1: wrong on every level. And I know yesterday I share 51 00:02:53,200 --> 00:02:55,120 Speaker 1: that I'm thinking about getting a Tesla. I'm trying to 52 00:02:55,120 --> 00:02:57,560 Speaker 1: convince carry the problem is we don't really use the 53 00:02:57,560 --> 00:02:59,400 Speaker 1: car that we have that much, or we still have 54 00:02:59,400 --> 00:03:01,360 Speaker 1: a lease on it. You have two parking spots or 55 00:03:01,400 --> 00:03:03,760 Speaker 1: one is this also in spots one car? But we 56 00:03:04,040 --> 00:03:05,600 Speaker 1: have a lot of guests to come over here, so 57 00:03:05,639 --> 00:03:07,280 Speaker 1: we have friends that come visit, so it's nice to 58 00:03:07,280 --> 00:03:10,360 Speaker 1: have a little guest spot. Anyway, thinking about getting a Tesla, 59 00:03:10,400 --> 00:03:13,560 Speaker 1: and people still go, oh, Teslas for rich You can 60 00:03:13,600 --> 00:03:15,400 Speaker 1: get a Tesla right now, I know I sound like 61 00:03:15,440 --> 00:03:18,760 Speaker 1: a Tesla salesman for about what you can get a 62 00:03:19,600 --> 00:03:24,480 Speaker 1: like reasonably equipped, you know, Toyota Corolla for a new 63 00:03:24,520 --> 00:03:26,680 Speaker 1: Toyota Corolla, I mean it. You can get a Tesla 64 00:03:26,760 --> 00:03:30,760 Speaker 1: for like three something a month, which is really low 65 00:03:30,880 --> 00:03:33,520 Speaker 1: compared to you know, compared to what you can see 66 00:03:33,760 --> 00:03:36,640 Speaker 1: across the car marketplace. Cars have been very expensive recently, anyway, 67 00:03:37,360 --> 00:03:40,160 Speaker 1: we have that, and used cars prices have been It's 68 00:03:40,200 --> 00:03:44,440 Speaker 1: not cheap to buy a car anywhere, to be frank. So, 69 00:03:45,040 --> 00:03:46,640 Speaker 1: I know people have their problems with the evs and 70 00:03:46,640 --> 00:03:49,240 Speaker 1: everything else. Okay, I get it, But the point is 71 00:03:49,480 --> 00:03:53,240 Speaker 1: they're going after Elon and they're trying to hurt his company, 72 00:03:53,240 --> 00:03:56,400 Speaker 1: and they're celebrating in its madness. But let's talk about 73 00:03:56,440 --> 00:03:58,960 Speaker 1: something else for a second here, or something that has 74 00:03:59,000 --> 00:04:02,840 Speaker 1: gotten both of our attention on this week, and that 75 00:04:02,960 --> 00:04:06,720 Speaker 1: is the Chuck Schumer. Chuck Schumer as a leader, I 76 00:04:06,720 --> 00:04:08,960 Speaker 1: guess of the Democrat Party. Still, you know, he's one 77 00:04:09,000 --> 00:04:11,040 Speaker 1: of the gray hairs. He's been around for a long time, 78 00:04:11,080 --> 00:04:14,800 Speaker 1: in the game a long time, and you're starting to 79 00:04:14,840 --> 00:04:18,120 Speaker 1: hear a little bit of the resentful. It reminds me 80 00:04:18,160 --> 00:04:21,480 Speaker 1: of the Obama era. You didn't build that because Trump 81 00:04:21,520 --> 00:04:30,000 Speaker 1: has completely cornered the narrative on robust capitalism, winners building 82 00:04:30,520 --> 00:04:36,000 Speaker 1: creating wealth for the country and you know, individual prosperity 83 00:04:36,040 --> 00:04:38,680 Speaker 1: and all that stuff. Democrats are the party. 84 00:04:39,640 --> 00:04:40,120 Speaker 2: I don't know. 85 00:04:40,640 --> 00:04:43,640 Speaker 1: And here is Chuck Schumer on the view complaining about 86 00:04:43,680 --> 00:04:46,680 Speaker 1: Americans who want to keep more this is fourteen, keep 87 00:04:46,839 --> 00:04:48,280 Speaker 1: more of their money. 88 00:04:48,640 --> 00:04:51,159 Speaker 3: You know what their attitude is. I made my money 89 00:04:51,160 --> 00:04:54,599 Speaker 3: all by myself. How dare your government take my money 90 00:04:54,600 --> 00:04:57,040 Speaker 3: from me. I don't want to pay taxes, or I've 91 00:04:57,040 --> 00:04:59,560 Speaker 3: built my company with my bare hands. How dare your 92 00:04:59,600 --> 00:05:03,880 Speaker 3: government tell me how I should treat my customers, the 93 00:05:03,960 --> 00:05:08,080 Speaker 3: land and water that I own, or my employees. They 94 00:05:08,240 --> 00:05:12,400 Speaker 3: hate government. Government's a barrier to people, a barrier to 95 00:05:12,400 --> 00:05:14,840 Speaker 3: stop them from doing things. They want to destroy it. 96 00:05:15,080 --> 00:05:17,440 Speaker 3: We are not letting them do it, and we're united. 97 00:05:18,279 --> 00:05:20,960 Speaker 1: They're just the left wing authoritarian party, Clay, that's really 98 00:05:21,000 --> 00:05:22,760 Speaker 1: what the Democrats have become. They want to tell you 99 00:05:22,760 --> 00:05:25,320 Speaker 1: what to do with everything, and they control everything, even 100 00:05:25,400 --> 00:05:29,440 Speaker 1: though they're imbeciles. I want Democrats to apt to answer 101 00:05:29,520 --> 00:05:32,320 Speaker 1: the question. And I know we're not very far away 102 00:05:32,320 --> 00:05:35,039 Speaker 1: from April fifteenth, which is not a very happy day 103 00:05:35,080 --> 00:05:37,800 Speaker 1: for a lot of our listeners out there, But what 104 00:05:37,960 --> 00:05:42,279 Speaker 1: is a fair share? I pay forty percent of my 105 00:05:42,440 --> 00:05:47,800 Speaker 1: income to the federal government most years now forty percent boom. 106 00:05:47,920 --> 00:05:51,359 Speaker 1: You know, I work until May and so I'm still 107 00:05:51,400 --> 00:05:55,320 Speaker 1: working basically for the federal government. What would be a 108 00:05:55,360 --> 00:06:03,400 Speaker 1: fair share. We have an insanely, insanely aggressive tax policy 109 00:06:03,480 --> 00:06:06,560 Speaker 1: for people who actually pay taxes. First of all, and 110 00:06:06,720 --> 00:06:10,880 Speaker 1: very few people talk about this. Income taxes are only 111 00:06:11,000 --> 00:06:15,520 Speaker 1: paid by about fifty percent of the United States population. So, 112 00:06:15,880 --> 00:06:18,320 Speaker 1: first of all, right, off the top over, I think 113 00:06:18,360 --> 00:06:21,279 Speaker 1: it's fifty one percent of people don't pay a single 114 00:06:21,400 --> 00:06:26,280 Speaker 1: dollar in federal income tax. Now, payroll taxes is different, right, 115 00:06:26,320 --> 00:06:29,520 Speaker 1: I'm talking about federal income taxes. And then a lot 116 00:06:29,560 --> 00:06:32,560 Speaker 1: of you you live in New York, you're listening to 117 00:06:32,640 --> 00:06:36,040 Speaker 1: us right now, you live in California, you live in Illinois, 118 00:06:36,520 --> 00:06:39,200 Speaker 1: then you have to pay another twelve or thirteen percent 119 00:06:39,600 --> 00:06:42,440 Speaker 1: state income tax. And then that doesn't even get into 120 00:06:42,480 --> 00:06:45,160 Speaker 1: what your property taxes are going to be or what 121 00:06:45,200 --> 00:06:47,640 Speaker 1: your sales taxes are going to be. I mean, the 122 00:06:47,720 --> 00:06:51,880 Speaker 1: government is taxing us like crazy. And I gotta lived 123 00:06:51,920 --> 00:06:54,440 Speaker 1: to New York stage. I haven't lived in New York 124 00:06:54,600 --> 00:06:57,080 Speaker 1: in uh what going on three years now, two and 125 00:06:57,120 --> 00:06:59,680 Speaker 1: a half years, and they still want me paying taxes 126 00:06:59,720 --> 00:07:02,960 Speaker 1: there somehow it's crazy. Okay, the system we have is 127 00:07:03,040 --> 00:07:07,240 Speaker 1: absolutely nuts. I got taxed because Fox Sports is based 128 00:07:07,279 --> 00:07:10,760 Speaker 1: in LA and I would travel a lot to LA 129 00:07:10,920 --> 00:07:14,000 Speaker 1: to do television shows and buck. I remember when they 130 00:07:14,040 --> 00:07:16,920 Speaker 1: would take that money out of my paycheck by the day. 131 00:07:17,120 --> 00:07:19,520 Speaker 1: It's by the work day. Same thing in New York City, 132 00:07:19,520 --> 00:07:22,120 Speaker 1: same thing I think in Utah. Ifire remember correctly. When 133 00:07:22,120 --> 00:07:23,960 Speaker 1: I've been to Salt Lake City in the past, I've 134 00:07:23,960 --> 00:07:27,160 Speaker 1: had to pay like hundreds of dollars in income for 135 00:07:27,240 --> 00:07:29,720 Speaker 1: the privilege of being in Salt Lake. It's a beautiful place. 136 00:07:30,160 --> 00:07:32,960 Speaker 1: It is lovely. But I justly appreciate that Utah was 137 00:07:32,960 --> 00:07:36,920 Speaker 1: was grabbing into my pocket there point. We appreciate everybody 138 00:07:36,920 --> 00:07:38,960 Speaker 1: who listens in Salt Lake City, where I believe we're 139 00:07:39,040 --> 00:07:41,840 Speaker 1: number one, and by yeah your number one, you're consistently 140 00:07:41,880 --> 00:07:44,640 Speaker 1: for three plus years now, thank you, Saltlakes Great station. 141 00:07:45,320 --> 00:07:49,480 Speaker 1: I will say, like, when you look at the at 142 00:07:49,800 --> 00:07:52,760 Speaker 1: these arguments, isn't it interesting they never get pushed back. 143 00:07:53,080 --> 00:07:55,160 Speaker 1: They say, you need you should pay your fair share. 144 00:07:55,200 --> 00:07:58,560 Speaker 1: That's their line, what is the fair share? And I 145 00:07:58,600 --> 00:08:01,480 Speaker 1: think a lot more people are looking around in the 146 00:08:01,520 --> 00:08:05,120 Speaker 1: Doge era when we're recognizing how much money is wasted, 147 00:08:05,320 --> 00:08:08,880 Speaker 1: and this conversation becomes even more paramount than it should be, 148 00:08:08,920 --> 00:08:11,520 Speaker 1: which is it's important to all year round and all 149 00:08:11,600 --> 00:08:14,120 Speaker 1: the time. But I think Elon has elevated it. There's 150 00:08:14,160 --> 00:08:18,800 Speaker 1: also some big philosophical distinctions here that I think should 151 00:08:18,800 --> 00:08:21,560 Speaker 1: be made clay. For example, as we have seen from 152 00:08:21,880 --> 00:08:25,160 Speaker 1: the efforts of Elon and Doge, thank you Trump for 153 00:08:25,160 --> 00:08:28,160 Speaker 1: putting them in the game to do this. Every dollar 154 00:08:28,240 --> 00:08:32,120 Speaker 1: of government spending is somehow sacred to democrats. This is 155 00:08:32,160 --> 00:08:35,920 Speaker 1: what we've seen. Have they actually said on anything that 156 00:08:35,960 --> 00:08:38,920 Speaker 1: Doge has done, Look at what Doje has been finding, 157 00:08:39,200 --> 00:08:41,520 Speaker 1: look at some of the ways that your money. You know, 158 00:08:41,760 --> 00:08:45,400 Speaker 1: we talked about the transgender muppet shows in Mongolia and 159 00:08:45,440 --> 00:08:48,840 Speaker 1: all this stuff that's going on. Every dollar the government 160 00:08:48,920 --> 00:08:54,240 Speaker 1: spends is both sacred and it's not enough. There always 161 00:08:54,280 --> 00:08:56,800 Speaker 1: should be you can never cut and there always should 162 00:08:56,840 --> 00:09:04,120 Speaker 1: be more. Meanwhile, the American people who's hours, labor, creativity, 163 00:09:04,520 --> 00:09:07,720 Speaker 1: and effort are what is actually the economy. This is 164 00:09:07,760 --> 00:09:10,480 Speaker 1: something that democrats in the government don't really understand. It's 165 00:09:10,520 --> 00:09:14,000 Speaker 1: not that the government creates the economy. The government if 166 00:09:14,000 --> 00:09:17,720 Speaker 1: it's operating, you know, well, should create the guidely some 167 00:09:17,760 --> 00:09:20,400 Speaker 1: of the guidelines, the rules of the road, and enforcement 168 00:09:20,440 --> 00:09:23,840 Speaker 1: mechanisms for contracts within the economy. But it is all 169 00:09:23,880 --> 00:09:27,640 Speaker 1: of you listening who show up somewhere and build a good, 170 00:09:28,000 --> 00:09:32,840 Speaker 1: provide a service, do something that is worthwhile to society, 171 00:09:32,920 --> 00:09:35,840 Speaker 1: and you get money for that. That is the actual economy, 172 00:09:35,840 --> 00:09:40,640 Speaker 1: the productive economy, and anybody within that who feels like 173 00:09:40,760 --> 00:09:44,960 Speaker 1: the government that every dollar is sacred and never never 174 00:09:45,040 --> 00:09:48,840 Speaker 1: isn't enough spending. If we say that something needs to change, 175 00:09:48,880 --> 00:09:52,320 Speaker 1: that's terrible. Yeah, this, this whole thinking needs to be 176 00:09:52,440 --> 00:09:56,000 Speaker 1: flipped on its head because what are what are you 177 00:09:56,080 --> 00:09:58,679 Speaker 1: really getting for your money? With so many of these things? 178 00:09:58,679 --> 00:10:01,240 Speaker 1: What is really worthwhile? Remember we a state government too. 179 00:10:01,640 --> 00:10:03,840 Speaker 1: The fact that Trump's about to shut the Department of Education, 180 00:10:03,960 --> 00:10:07,600 Speaker 1: right that executive word is gonna come down and people go, oh, no, education, 181 00:10:08,160 --> 00:10:11,560 Speaker 1: the Department of Education has nothing to do with educating 182 00:10:11,600 --> 00:10:12,160 Speaker 1: your children. 183 00:10:12,520 --> 00:10:12,600 Speaker 4: It. 184 00:10:12,760 --> 00:10:15,360 Speaker 1: All that does is make it worse and create a 185 00:10:15,840 --> 00:10:19,160 Speaker 1: holding pen for boring bureaucrats to get paid to do nothing. 186 00:10:19,679 --> 00:10:24,199 Speaker 1: And we're wrong about everything. Covid I was reading Buck yesterday, 187 00:10:24,840 --> 00:10:26,640 Speaker 1: to the credit of The New York Times, which has 188 00:10:26,679 --> 00:10:29,719 Speaker 1: suddenly realized Hey, we screwed up everything with COVID. They 189 00:10:29,720 --> 00:10:32,920 Speaker 1: had a story about Oakland area kids Buck. And I've 190 00:10:32,920 --> 00:10:34,840 Speaker 1: met a bunch of these kids as I've been traveling 191 00:10:34,880 --> 00:10:38,240 Speaker 1: around and started to speak on some college campuses. These 192 00:10:38,360 --> 00:10:41,160 Speaker 1: kids in the in many parts of New York State 193 00:10:41,240 --> 00:10:45,480 Speaker 1: and California and Illinois, but this particular kids in Oakland Buck, 194 00:10:46,040 --> 00:10:49,640 Speaker 1: they shut down their schools on like March whatever it was, 195 00:10:49,720 --> 00:10:53,640 Speaker 1: fifteenth of twenty twenty. They never came back to school. 196 00:10:53,840 --> 00:10:57,559 Speaker 1: If you were a junior, I don't know that we 197 00:10:57,640 --> 00:11:00,679 Speaker 1: talk enough about how many kids out there, and I 198 00:11:00,720 --> 00:11:02,679 Speaker 1: know some of you are listening to us right now. 199 00:11:02,800 --> 00:11:05,160 Speaker 1: I remember we had a caller from Utah, a young 200 00:11:05,440 --> 00:11:07,760 Speaker 1: woman who was voting for the first time, eighteen year old, 201 00:11:07,800 --> 00:11:10,079 Speaker 1: talking about how angry she and some of her classmates. 202 00:11:10,080 --> 00:11:13,319 Speaker 1: We are us A great call, good memory, but I 203 00:11:13,360 --> 00:11:16,560 Speaker 1: mean it hit me because can you imagine if you're 204 00:11:16,559 --> 00:11:19,079 Speaker 1: out there listening to us right now, think about all 205 00:11:19,120 --> 00:11:22,640 Speaker 1: the things that happened to you when you're sixteen, seventeen, 206 00:11:22,720 --> 00:11:27,040 Speaker 1: and eighteen years old, and how embedded in an integral fashion, 207 00:11:27,240 --> 00:11:31,040 Speaker 1: so much of your life experience happens sixteen seventeen eighteen, 208 00:11:31,280 --> 00:11:34,600 Speaker 1: You remember everybody out there to a largest You'll remember 209 00:11:34,679 --> 00:11:37,600 Speaker 1: things when you're sixteen better than something that happened when 210 00:11:37,600 --> 00:11:40,280 Speaker 1: you're thirty six, forty six, or fifty six, because all 211 00:11:40,280 --> 00:11:43,240 Speaker 1: the years start to run together. It imprints on you 212 00:11:43,280 --> 00:11:47,640 Speaker 1: in an interesting way. Those kids went home in many 213 00:11:47,679 --> 00:11:51,679 Speaker 1: parts of our country in March of twenty twenty, and 214 00:11:51,720 --> 00:11:55,040 Speaker 1: they never came back. You miss your junior year prom 215 00:11:55,600 --> 00:11:59,480 Speaker 1: you miss your junior year spring sports season, you never 216 00:11:59,600 --> 00:12:01,560 Speaker 1: return and buck the article in the New York Times 217 00:12:01,600 --> 00:12:04,120 Speaker 1: talking about these kids came back at the end of 218 00:12:04,160 --> 00:12:06,959 Speaker 1: May for graduation, and they had to be six foot 219 00:12:06,960 --> 00:12:09,800 Speaker 1: distant and they didn't even recognize each other. Because also 220 00:12:09,840 --> 00:12:12,400 Speaker 1: think about how much you change in that year and 221 00:12:12,440 --> 00:12:15,199 Speaker 1: a half. They just all went home and they never 222 00:12:15,360 --> 00:12:20,240 Speaker 1: were in physical location together again. I just I get 223 00:12:20,280 --> 00:12:23,079 Speaker 1: angrier the more I think about it, even though it's 224 00:12:23,120 --> 00:12:26,679 Speaker 1: been five years, and so I think, for my you 225 00:12:26,720 --> 00:12:28,760 Speaker 1: tell me that I have to cut checks. It's one 226 00:12:28,800 --> 00:12:30,839 Speaker 1: thing if I think the government's doing a great job. 227 00:12:31,080 --> 00:12:33,440 Speaker 1: It's another thing if I'm still furious about what they did, 228 00:12:33,480 --> 00:12:36,400 Speaker 1: in particularly the Department of Education, to keep our kids 229 00:12:36,400 --> 00:12:39,840 Speaker 1: from being able to be in school, and they now 230 00:12:39,880 --> 00:12:41,400 Speaker 1: are at the point where I think they're on the 231 00:12:41,559 --> 00:12:45,120 Speaker 1: edge of seeing the Department of Education get officially shut down. 232 00:12:45,160 --> 00:12:47,560 Speaker 1: There have already been cuts made. I know a judge 233 00:12:47,600 --> 00:12:49,160 Speaker 1: is going to reverse it if he hasn't or she 234 00:12:49,200 --> 00:12:52,160 Speaker 1: hasn't already, and they'll also reverse the shutdown. And the 235 00:12:52,440 --> 00:12:55,920 Speaker 1: whole plan here is essentially to have the judicial coup 236 00:12:56,000 --> 00:12:59,440 Speaker 1: in effect for the really Trump's whole term if they 237 00:12:59,480 --> 00:13:01,640 Speaker 1: can get away with, to stop him from doing what 238 00:13:01,679 --> 00:13:04,440 Speaker 1: he should be able to do. But yeah, the Department 239 00:13:04,480 --> 00:13:08,640 Speaker 1: of Education and employees around forty two hundred people until 240 00:13:08,760 --> 00:13:10,880 Speaker 1: the most recent round of cuts. When you look at 241 00:13:10,920 --> 00:13:14,160 Speaker 1: what does it do? What does the Department of Education 242 00:13:14,320 --> 00:13:19,520 Speaker 1: actually do? Everything that it does is either superfluous political 243 00:13:20,240 --> 00:13:23,079 Speaker 1: or could be done by the states much more effectively 244 00:13:23,280 --> 00:13:27,520 Speaker 1: and much more within the federalist system that we have. Right, 245 00:13:27,760 --> 00:13:30,760 Speaker 1: Why should if you live in if you live in Texas, 246 00:13:30,760 --> 00:13:34,559 Speaker 1: why should some bureaucrats in DC be influencing the curriculum 247 00:13:34,679 --> 00:13:37,200 Speaker 1: of your school in Texas? Oh, because they have to 248 00:13:37,200 --> 00:13:38,960 Speaker 1: make sure well, they have to make sure the test 249 00:13:38,960 --> 00:13:41,400 Speaker 1: scores don't actually budge and if anything, get worse over 250 00:13:41,400 --> 00:13:45,320 Speaker 1: the last forty years. Because that's what's happened. It failure 251 00:13:45,360 --> 00:13:48,120 Speaker 1: within government needs to be treated like much more like 252 00:13:48,160 --> 00:13:50,280 Speaker 1: failure within the private sector, where you and I have 253 00:13:50,320 --> 00:13:52,000 Speaker 1: been at places clay where it's a fire sale and 254 00:13:52,000 --> 00:13:54,360 Speaker 1: everyone's getting fired and it stinks, and like you know, 255 00:13:54,520 --> 00:13:57,840 Speaker 1: but that is what happens. And this notion that the 256 00:13:57,840 --> 00:14:01,839 Speaker 1: government is and always will be not just existing as 257 00:14:01,840 --> 00:14:05,000 Speaker 1: it is, but growing and getting more money, that is 258 00:14:05,040 --> 00:14:08,080 Speaker 1: a change in the way that we are governed that 259 00:14:08,080 --> 00:14:09,920 Speaker 1: absolutely needs to happen. And look, we were just talking 260 00:14:09,960 --> 00:14:13,920 Speaker 1: about the tax situation here. IRS is a pain, all right. 261 00:14:14,040 --> 00:14:15,920 Speaker 1: I mean, I'm hoping that the IRS gets a nice 262 00:14:15,960 --> 00:14:20,240 Speaker 1: doze out of itself going here. But the IRS is 263 00:14:20,400 --> 00:14:23,640 Speaker 1: a rough agency to have to deal with. And you 264 00:14:23,680 --> 00:14:25,720 Speaker 1: don't need me to remind you the IRS of the 265 00:14:25,760 --> 00:14:29,080 Speaker 1: world's most powerful collection agency. You already know that. Don't 266 00:14:29,120 --> 00:14:31,720 Speaker 1: take them on without having an expert by your side. 267 00:14:31,800 --> 00:14:34,160 Speaker 1: We are in the peak of tax season here in 268 00:14:34,200 --> 00:14:36,720 Speaker 1: the weeks ahead. You need to call our friends at 269 00:14:36,800 --> 00:14:39,560 Speaker 1: Rush Tax Resolution if you have any concerns or problems 270 00:14:39,640 --> 00:14:42,760 Speaker 1: when it comes to your taxes eight seven seven seven 271 00:14:42,960 --> 00:14:46,040 Speaker 1: five five seven eight seven four. Every day you put 272 00:14:46,080 --> 00:14:48,760 Speaker 1: it off, you're increasing the risk of the IRS seizing 273 00:14:48,800 --> 00:14:51,920 Speaker 1: your assets. Garnishing your paycheck, going after you and your 274 00:14:51,920 --> 00:14:54,360 Speaker 1: business if you owe payroll taxes. I mean, heck, they 275 00:14:54,400 --> 00:14:57,040 Speaker 1: can even revoke your passport all the while you're getting 276 00:14:57,120 --> 00:15:00,160 Speaker 1: crushed with outrageous penalties and interest. You can get the 277 00:15:00,160 --> 00:15:02,680 Speaker 1: relief you deserve, but you need to call Rush Tax 278 00:15:02,720 --> 00:15:05,280 Speaker 1: Resolution now. You want to do it before the IRS 279 00:15:05,360 --> 00:15:08,440 Speaker 1: contacts you. First, be proactive mention our names. Get a 280 00:15:08,520 --> 00:15:12,320 Speaker 1: free IRS transcript investigation. Other firms charge up to fifteen 281 00:15:12,440 --> 00:15:15,480 Speaker 1: hundred dollars. Rush Tax Resolution is the only company we 282 00:15:15,520 --> 00:15:18,400 Speaker 1: trust and recommend. They'll only take your case if they 283 00:15:18,520 --> 00:15:21,480 Speaker 1: know they can help you. Eight seven seven five five 284 00:15:21,600 --> 00:15:26,240 Speaker 1: four Rush. That's eight seven seven five five four seventy 285 00:15:26,320 --> 00:15:30,000 Speaker 1: eight seventy four or go to go online to Rush 286 00:15:30,280 --> 00:15:33,560 Speaker 1: Tax Resolution dot com. 287 00:15:33,600 --> 00:15:37,840 Speaker 5: Making America great again isn't just one man, It's many. 288 00:15:38,080 --> 00:15:41,760 Speaker 5: The team forty seven podcasts Sunday's at noon Eastern in 289 00:15:41,920 --> 00:15:42,480 Speaker 5: the Clay and. 290 00:15:42,560 --> 00:15:43,680 Speaker 1: Buck podcast feed. 291 00:15:43,840 --> 00:15:46,800 Speaker 5: Find it on the iHeartRadio app or wherever you get 292 00:15:46,840 --> 00:15:47,880 Speaker 5: your podcasts. 293 00:15:47,960 --> 00:15:49,920 Speaker 1: We have our friend Ryan Gerdusky joining us at the 294 00:15:49,920 --> 00:15:55,520 Speaker 1: bottom to talk about some data and particularly diving into 295 00:15:55,600 --> 00:15:59,520 Speaker 1: what we learned about college educated white college educated women 296 00:15:59,640 --> 00:16:07,760 Speaker 1: Yesterday Day they iddalize Vladimir Zelenski, which is very strange 297 00:16:07,840 --> 00:16:09,760 Speaker 1: for a lot of women who I think have probably 298 00:16:10,120 --> 00:16:13,000 Speaker 1: very likely very few of them ever seen combat, know 299 00:16:13,040 --> 00:16:17,040 Speaker 1: anything about war or the military, but they're all about Zelenski. 300 00:16:17,480 --> 00:16:22,480 Speaker 1: So the propaganda there has clearly clearly been effective. We'll 301 00:16:22,480 --> 00:16:26,280 Speaker 1: talk to it Ryan about that. Democrats are turning on Schumer, 302 00:16:27,400 --> 00:16:30,760 Speaker 1: which is not a surprise because they're in the panic 303 00:16:30,840 --> 00:16:34,280 Speaker 1: phase of things. You know, this is where in Lord 304 00:16:34,280 --> 00:16:37,320 Speaker 1: of the Flies they all start sharpening sticks and just 305 00:16:37,400 --> 00:16:39,240 Speaker 1: poking each other with them because they don't know what 306 00:16:39,240 --> 00:16:42,200 Speaker 1: else to do and there's no real leadership. And remember 307 00:16:42,320 --> 00:16:44,360 Speaker 1: that's it's a great book. You remember reading The Lord 308 00:16:44,360 --> 00:16:47,560 Speaker 1: of the Flies in the in school back in the day. 309 00:16:48,040 --> 00:16:52,400 Speaker 1: Lord of the Flies Buck is my argument. Yeah, everybody 310 00:16:52,480 --> 00:16:55,680 Speaker 1: has one friend who reads like one book and tries 311 00:16:55,720 --> 00:16:58,760 Speaker 1: to analogize everything that ever happened, you know, like not 312 00:16:58,880 --> 00:17:01,280 Speaker 1: somebody who reads a lot of books. I had a 313 00:17:01,280 --> 00:17:03,680 Speaker 1: buddy who read like one book in his whole life, 314 00:17:03,720 --> 00:17:05,560 Speaker 1: and it was Lord of the Flies. And he would 315 00:17:05,640 --> 00:17:10,439 Speaker 1: try he would try to analogize anything that happened to 316 00:17:10,560 --> 00:17:12,439 Speaker 1: the one book that he had ever read, which was 317 00:17:12,520 --> 00:17:14,320 Speaker 1: Lord of the Flies. Well, that's like a lot of 318 00:17:14,320 --> 00:17:16,560 Speaker 1: people now with Harry Potter, no offense because I know 319 00:17:16,560 --> 00:17:17,760 Speaker 1: you read a lot of other things too, and you're 320 00:17:17,760 --> 00:17:21,479 Speaker 1: a Harry Potter guy. But everything is Voldemort, everything is 321 00:17:21,520 --> 00:17:24,639 Speaker 1: the Quidditch, you know. The Harry Potter became so dominant. 322 00:17:24,640 --> 00:17:27,040 Speaker 1: At least there are seven Harry Potters, although a lot 323 00:17:27,040 --> 00:17:28,600 Speaker 1: of people didn't even read them and they just watched 324 00:17:28,640 --> 00:17:32,119 Speaker 1: the movies. I didn't either, So there we go. I 325 00:17:32,160 --> 00:17:36,840 Speaker 1: probably should get on that. Now we have the Democrats 326 00:17:36,840 --> 00:17:40,200 Speaker 1: turning in each other, turning on Schumer, and we've got 327 00:17:40,200 --> 00:17:42,240 Speaker 1: all that happening. But I wanted to spend some time 328 00:17:42,240 --> 00:17:46,840 Speaker 1: here on the war on Tesla and how it factors 329 00:17:46,880 --> 00:17:50,080 Speaker 1: into as well the Democrat approach to the economy. So 330 00:17:50,359 --> 00:17:52,520 Speaker 1: let's just let's look at what's going on here right now. 331 00:17:53,200 --> 00:17:57,720 Speaker 1: The fact that you have these Democrats openly rooting against 332 00:17:57,840 --> 00:18:02,800 Speaker 1: an all American car company, one that you know the 333 00:18:02,840 --> 00:18:06,000 Speaker 1: cars are manufactured here. Maybe they've got the huge facility 334 00:18:06,200 --> 00:18:11,879 Speaker 1: in Texas. I think eighty thousand people work for Tesla Clay, 335 00:18:11,960 --> 00:18:15,800 Speaker 1: eighty thousand jobs. If you believe that climate change is 336 00:18:15,880 --> 00:18:18,320 Speaker 1: any kind of threat, never mind existential, you should think 337 00:18:18,320 --> 00:18:21,920 Speaker 1: that what Tesla's doing. Because remember, it's not just the cars, 338 00:18:22,160 --> 00:18:26,680 Speaker 1: it's the technology. It's autonomous driving, it's the interface, it's 339 00:18:26,720 --> 00:18:30,199 Speaker 1: the battery technology, it's you know, how far are we 340 00:18:30,280 --> 00:18:33,439 Speaker 1: from starlink being able to control all the cars and 341 00:18:33,480 --> 00:18:36,560 Speaker 1: maybe we get Vitol so vertical takeoff, you know, and 342 00:18:37,000 --> 00:18:41,000 Speaker 1: landing for meeting the basically flying cars. I mean, things 343 00:18:41,040 --> 00:18:43,320 Speaker 1: are going to get really interesting in our lifetime, folks. 344 00:18:43,880 --> 00:18:46,560 Speaker 1: So that's pretty cool, right well, not if you're Tim Walls, 345 00:18:47,080 --> 00:18:48,960 Speaker 1: who thinks he can beat you up, I might add, 346 00:18:49,000 --> 00:18:51,560 Speaker 1: and I mean you not clay like you listening to 347 00:18:51,560 --> 00:18:53,520 Speaker 1: the Tim Walls thinks he can take you in a fight. 348 00:18:54,040 --> 00:18:57,119 Speaker 1: I think we have legions of great I think we 349 00:18:57,119 --> 00:19:00,439 Speaker 1: have lesions of guys over seventy five that would smoked 350 00:19:00,480 --> 00:19:02,720 Speaker 1: Tim Wall. Did you see our eighty six year old 351 00:19:02,800 --> 00:19:05,640 Speaker 1: listener who emailed me about that is one of the funs. 352 00:19:05,640 --> 00:19:07,639 Speaker 1: I need to read that email at some point, because 353 00:19:07,640 --> 00:19:10,240 Speaker 1: that was a great email. I know the conservative talk 354 00:19:10,320 --> 00:19:12,480 Speaker 1: radio audience and there are guys over seventy five that 355 00:19:12,480 --> 00:19:14,640 Speaker 1: will whoop my ass, So I definitely know they would 356 00:19:14,640 --> 00:19:18,959 Speaker 1: take Tim Wallas in a fight. But Caroline Levitt at 357 00:19:18,960 --> 00:19:23,439 Speaker 1: the White House, speaking as the Press Secretary just goes 358 00:19:23,520 --> 00:19:28,320 Speaker 1: after this. I mean, it's astonishing. It's outrageous that he 359 00:19:28,440 --> 00:19:30,760 Speaker 1: is rooting for the failure of a company again because 360 00:19:30,800 --> 00:19:34,160 Speaker 1: Elon wants to cut government waste. Play eight Governor Walt. 361 00:19:33,960 --> 00:19:37,879 Speaker 6: Saying last night he frequently checks Tesla's stock and doing 362 00:19:37,920 --> 00:19:41,040 Speaker 6: so to quote give me a little boost during the day. 363 00:19:41,160 --> 00:19:45,240 Speaker 6: How should Americans view politicians who take pride in the 364 00:19:45,280 --> 00:19:48,119 Speaker 6: downfall of an American car company. I think that's quite sad. 365 00:19:48,240 --> 00:19:51,000 Speaker 5: But I think Governor Walls unfortunately is living a sad 366 00:19:51,080 --> 00:19:54,040 Speaker 5: existence after his devastating defeat on November fifth. 367 00:19:55,440 --> 00:19:58,600 Speaker 1: It is sad, and his defeat was devastating. It's sad, though, 368 00:19:58,600 --> 00:20:01,680 Speaker 1: that somebody would be rooting Ford America. Think about what 369 00:20:01,720 --> 00:20:06,080 Speaker 1: that means. It's not just Tesla, it is a I mean, 370 00:20:06,440 --> 00:20:08,040 Speaker 1: you and I have never sat here been like you 371 00:20:08,040 --> 00:20:11,360 Speaker 1: know what I want. I want Amazon to go bankrupt 372 00:20:11,480 --> 00:20:15,760 Speaker 1: because it employs huge numbers of people. It's an enormously 373 00:20:15,880 --> 00:20:19,439 Speaker 1: valuable company, and it has been incredibly effective. I mean, 374 00:20:19,480 --> 00:20:23,639 Speaker 1: it has saved millions, maybe billions of man hours for people. 375 00:20:23,680 --> 00:20:26,119 Speaker 1: And look, I know Jeff Bezos is more on our 376 00:20:26,160 --> 00:20:27,800 Speaker 1: team now than he used to be. But he's still 377 00:20:27,800 --> 00:20:30,040 Speaker 1: not really on our team. We're all very aware of this, 378 00:20:30,600 --> 00:20:33,600 Speaker 1: but to root for a huge American company, it'd be 379 00:20:33,600 --> 00:20:35,439 Speaker 1: like sitting her clay and just saying, you know, I 380 00:20:35,480 --> 00:20:38,359 Speaker 1: want Ford in general Motors to just cease to exist 381 00:20:38,359 --> 00:20:40,440 Speaker 1: and all their people to get fired because I don't 382 00:20:40,480 --> 00:20:42,640 Speaker 1: like what this, I don't like who the CEO voted for. 383 00:20:42,680 --> 00:20:45,879 Speaker 1: There's something deranged about this. I think two things that 384 00:20:45,920 --> 00:20:50,119 Speaker 1: are important here. One, if you truly cared about climate change, 385 00:20:50,720 --> 00:20:54,320 Speaker 1: then the idea that you would want Tesla to fail 386 00:20:55,040 --> 00:20:58,840 Speaker 1: is the most heretical thing that you could possibly say, 387 00:20:58,960 --> 00:21:02,119 Speaker 1: because I'm I'm not sure there's any company in America 388 00:21:02,119 --> 00:21:04,280 Speaker 1: that has done more to fight climate change. And this 389 00:21:04,359 --> 00:21:06,160 Speaker 1: is supposed to be, as we talked about yesterday, an 390 00:21:06,160 --> 00:21:10,359 Speaker 1: existential threat to the entire world and to our nation. 391 00:21:11,160 --> 00:21:13,439 Speaker 1: And yet you have Tim Walls out there saying that 392 00:21:13,480 --> 00:21:15,359 Speaker 1: he's checking to see what the stock price is because 393 00:21:15,359 --> 00:21:18,359 Speaker 1: he's rooting for Tesla to fail. That doesn't add up 394 00:21:18,440 --> 00:21:22,320 Speaker 1: if you actually believe that climate change is the existential threat. 395 00:21:22,400 --> 00:21:25,280 Speaker 1: And I think what it forces Democrats to do is 396 00:21:25,359 --> 00:21:30,320 Speaker 1: decide what do we hate more, climate change or Trump? 397 00:21:30,880 --> 00:21:33,400 Speaker 1: And the reality is they hate Trump. More than anything, 398 00:21:33,560 --> 00:21:35,880 Speaker 1: and so the Elon connection to Trump means they root 399 00:21:35,920 --> 00:21:39,120 Speaker 1: against it. Second, choosing whether or not to spend your 400 00:21:39,240 --> 00:21:43,680 Speaker 1: money on products based on whether they share your values 401 00:21:43,800 --> 00:21:47,040 Speaker 1: or not is I think a very rational choice to make. 402 00:21:47,200 --> 00:21:50,359 Speaker 1: I would argue that Tesla actually shares the values of Democrats, 403 00:21:50,359 --> 00:21:54,560 Speaker 1: But leaving that aside, what is not is when, for instance, 404 00:21:54,640 --> 00:21:59,520 Speaker 1: we said, hey, bud Light's got a trans spokesperson maybe 405 00:21:59,600 --> 00:22:04,200 Speaker 1: drinking other beer. We didn't say and throw Molotov cocktails 406 00:22:04,359 --> 00:22:08,320 Speaker 1: at people driving around in Budweiser trucks. What the left 407 00:22:08,359 --> 00:22:11,240 Speaker 1: has done with Elon is not only reject their own 408 00:22:11,320 --> 00:22:14,960 Speaker 1: principles upon which they stand, but actually take it to 409 00:22:15,000 --> 00:22:19,960 Speaker 1: the next step. They're lighting Tesla's on fire everywhere. People 410 00:22:20,000 --> 00:22:25,600 Speaker 1: are getting busted on the Tesla cameras, keying Tesla vehicles 411 00:22:25,720 --> 00:22:31,199 Speaker 1: all over the place, behaving in a fundamentally ridiculous and 412 00:22:31,280 --> 00:22:35,520 Speaker 1: frankly violent manner over this, And to me, it just 413 00:22:35,640 --> 00:22:38,360 Speaker 1: kind of ties in with It's one thing to make 414 00:22:38,400 --> 00:22:41,119 Speaker 1: a decision about a product that you like or don't like. 415 00:22:41,160 --> 00:22:44,440 Speaker 1: We said, hey, you make a great product. The benefit 416 00:22:44,480 --> 00:22:47,760 Speaker 1: typically is even if you disagree with the product, you'll 417 00:22:47,800 --> 00:22:49,960 Speaker 1: probably still consume it. When we say chick fil A, 418 00:22:50,359 --> 00:22:52,760 Speaker 1: there's nobody who I'm sorry, there's nobody who makes a 419 00:22:52,760 --> 00:22:54,960 Speaker 1: better chicken sandwich than Chick fil A. And one of 420 00:22:54,960 --> 00:22:56,719 Speaker 1: the great things about the Chick fil A sandwich, by 421 00:22:56,720 --> 00:22:59,399 Speaker 1: the way, buck is the pickle. Lots of gay people, 422 00:23:00,160 --> 00:23:03,160 Speaker 1: lots of gay people out there rolled into Chick fil 423 00:23:03,160 --> 00:23:05,240 Speaker 1: A like crazy. They're like, ah, you know, I wish 424 00:23:05,240 --> 00:23:09,720 Speaker 1: they supported gay marriage, but man, their chicken nuggets are 425 00:23:09,880 --> 00:23:11,960 Speaker 1: just so good. I'm going to go in and get 426 00:23:11,960 --> 00:23:15,679 Speaker 1: them anyway. Right second, we talked about this yesterday before 427 00:23:15,720 --> 00:23:18,760 Speaker 1: you strict a stroke it strict had it stricken form 428 00:23:18,760 --> 00:23:23,840 Speaker 1: the record, Yes, when you talked about how much your 429 00:23:23,840 --> 00:23:26,880 Speaker 1: wife Carrie loves Costco, I also love Costco. Costco Estate 430 00:23:26,920 --> 00:23:29,960 Speaker 1: committed to DEI I think they're wrong there. They're still 431 00:23:29,960 --> 00:23:34,840 Speaker 1: the best warehouse shopping center option out there, and I 432 00:23:34,880 --> 00:23:37,159 Speaker 1: still really like their samples, and I'm still going to 433 00:23:37,200 --> 00:23:40,560 Speaker 1: spend money at Costco. Their brand is so good, much 434 00:23:40,600 --> 00:23:42,879 Speaker 1: like Chick fil A, that even if they have politics 435 00:23:42,880 --> 00:23:45,399 Speaker 1: that are somewhat different than me, that I'm not going 436 00:23:45,480 --> 00:23:47,560 Speaker 1: to shop I'm going to continue to shop there. Tesla 437 00:23:47,600 --> 00:23:51,240 Speaker 1: makes the best electric vehicle in the world, is my understanding, 438 00:23:51,320 --> 00:23:53,280 Speaker 1: I'm not an expert on this, but the people who 439 00:23:53,320 --> 00:23:56,760 Speaker 1: have Tesla's rave about them Buck, and this is one 440 00:23:56,800 --> 00:23:59,239 Speaker 1: reason I'm looking at potentially buying one you're looking at 441 00:23:59,240 --> 00:24:03,360 Speaker 1: potentially buying I want to stand up and say, hey, 442 00:24:03,400 --> 00:24:06,879 Speaker 1: I believe in American exceptionalism. I think Elon Musk is 443 00:24:06,920 --> 00:24:11,040 Speaker 1: an exceptional American capitalist in all facets, and I would 444 00:24:11,080 --> 00:24:14,280 Speaker 1: like to believe that it is rational Americans out there 445 00:24:14,600 --> 00:24:16,480 Speaker 1: who aren't going to punish him because he's trying to 446 00:24:16,480 --> 00:24:20,040 Speaker 1: make the government more efficient Buck in his free time, 447 00:24:20,840 --> 00:24:22,760 Speaker 1: Like he didn't have to do this at all. He's 448 00:24:23,000 --> 00:24:26,320 Speaker 1: just giving back to the country to try to make 449 00:24:26,359 --> 00:24:30,000 Speaker 1: sure that our deficit doesn't drown all of us in 450 00:24:30,080 --> 00:24:33,719 Speaker 1: red ink. And you've got a couple of voices weighing 451 00:24:33,760 --> 00:24:37,720 Speaker 1: in on this defending the Remember it's not really about 452 00:24:37,720 --> 00:24:40,479 Speaker 1: defending Elon personally. This is about the company. It's about Tesla, 453 00:24:40,520 --> 00:24:44,760 Speaker 1: which is doing great things. It's innovating, it's employing people, 454 00:24:44,840 --> 00:24:49,760 Speaker 1: it's making incredible products. You know, we're there's so much 455 00:24:49,920 --> 00:24:52,640 Speaker 1: about it. It's pure in America. The cars are made 456 00:24:52,640 --> 00:24:55,480 Speaker 1: here in America. It's not some you know, we're not 457 00:24:55,560 --> 00:25:00,240 Speaker 1: We're not having some sweatshop somewhere putting together iPhones, just 458 00:25:00,280 --> 00:25:02,720 Speaker 1: saying again, I wish I could tell you I don't 459 00:25:02,720 --> 00:25:05,160 Speaker 1: have an iPhone. I do, but it's because I don't 460 00:25:05,200 --> 00:25:07,200 Speaker 1: like the other options. And you know, but I'm aware 461 00:25:07,280 --> 00:25:09,359 Speaker 1: of what goes on here, right, it's not always perfect 462 00:25:09,359 --> 00:25:13,040 Speaker 1: to make these make these kinds of choices. Kevin O'Leary, though, 463 00:25:13,119 --> 00:25:16,159 Speaker 1: points out that Tim Walls is a bozo. This is 464 00:25:16,200 --> 00:25:17,600 Speaker 1: mister wonderful cut nine. 465 00:25:17,680 --> 00:25:20,080 Speaker 5: I'm talking about Tim Walls and his comments about the 466 00:25:20,119 --> 00:25:20,800 Speaker 5: Tesla stock. 467 00:25:21,040 --> 00:25:22,560 Speaker 1: He says, it gives him a boost to see that 468 00:25:22,640 --> 00:25:23,360 Speaker 1: stock going down. 469 00:25:23,480 --> 00:25:26,040 Speaker 7: That poor guy didn't check his portfolio and his own 470 00:25:26,040 --> 00:25:29,400 Speaker 7: pension plan for state is beyond stupid what he did. 471 00:25:29,440 --> 00:25:32,199 Speaker 7: He's talking down a three and a half percent waiting 472 00:25:32,280 --> 00:25:34,879 Speaker 7: his own pension plan. I mean, what's the matter with 473 00:25:34,920 --> 00:25:36,960 Speaker 7: that guy? He doesn't check the well being of his 474 00:25:37,040 --> 00:25:40,120 Speaker 7: own constituency, that's your mind. 475 00:25:40,160 --> 00:25:45,200 Speaker 1: I'm what a bozone. He's pointing out the economic illiteracy 476 00:25:45,359 --> 00:25:48,720 Speaker 1: of somebody like it, Tim Walls. Companies like Tesla are 477 00:25:48,800 --> 00:25:51,440 Speaker 1: what have been moving the market in recent years, which 478 00:25:51,480 --> 00:25:56,680 Speaker 1: means four oh one caves, which means pension plans, the 479 00:25:56,800 --> 00:26:01,320 Speaker 1: you know, the growth of the major American corps is 480 00:26:01,440 --> 00:26:05,320 Speaker 1: lifting up the overall market. And even if you think, oh, 481 00:26:05,359 --> 00:26:07,080 Speaker 1: I'm not in the market, Oh no, you're in the 482 00:26:07,080 --> 00:26:10,159 Speaker 1: market because it affects the cost of borrowing. It affects 483 00:26:10,200 --> 00:26:12,600 Speaker 1: the cost of your rent or your mortgage, or the 484 00:26:12,640 --> 00:26:15,440 Speaker 1: payments on your car, or the credit card interest rates 485 00:26:15,440 --> 00:26:18,560 Speaker 1: that you have. Hey, there is no escaping the market 486 00:26:18,600 --> 00:26:22,280 Speaker 1: if you're operating in America today and to want companies 487 00:26:22,960 --> 00:26:25,159 Speaker 1: whether it's Tesla or in Video or you know, the 488 00:26:25,720 --> 00:26:28,720 Speaker 1: magnificent seven stocks will talk about when you root for 489 00:26:28,760 --> 00:26:31,280 Speaker 1: those to fill, you're rooting actually for the American economy 490 00:26:31,280 --> 00:26:32,800 Speaker 1: to feel pain and there to be less wealth in 491 00:26:32,880 --> 00:26:35,160 Speaker 1: this country. And that's what they're doing because they don't 492 00:26:35,240 --> 00:26:38,679 Speaker 1: like Elon because he's too nice to Trump. And again 493 00:26:38,920 --> 00:26:43,000 Speaker 1: they're also rooting for climate change, which is like at 494 00:26:43,040 --> 00:26:46,440 Speaker 1: its most basic level, did you see this idiot astronaut 495 00:26:46,600 --> 00:26:51,000 Speaker 1: Mark Kelly, Senator from Arizona, went and traded in his 496 00:26:51,160 --> 00:26:54,760 Speaker 1: Tesla and went and got a gas guzzling suv to 497 00:26:54,800 --> 00:26:59,240 Speaker 1: replace it. So what is the story that you support? Right? 498 00:26:59,320 --> 00:27:02,720 Speaker 1: I mean again, I think part of being adulthood you 499 00:27:02,800 --> 00:27:06,639 Speaker 1: mentioned the iPhone. Part of being an adult is recognizing 500 00:27:07,000 --> 00:27:09,719 Speaker 1: that everybody's not going to agree with you on every 501 00:27:09,840 --> 00:27:13,600 Speaker 1: single thing and still making decisions that are somewhat rational 502 00:27:13,640 --> 00:27:16,080 Speaker 1: when it comes to products, right, Like I don't want 503 00:27:16,400 --> 00:27:19,760 Speaker 1: my toilet paper to have a strong position on any 504 00:27:19,760 --> 00:27:22,080 Speaker 1: political issue. I just want them to kind of make 505 00:27:22,119 --> 00:27:27,119 Speaker 1: toilet paper that doesn't fail, right, that actually works. And 506 00:27:27,440 --> 00:27:29,720 Speaker 1: I think most Americans I don't want my cat litter 507 00:27:29,760 --> 00:27:32,600 Speaker 1: brand to send me an email about what they think 508 00:27:32,600 --> 00:27:36,480 Speaker 1: about BLM. I think most Americans just want the product 509 00:27:36,480 --> 00:27:40,399 Speaker 1: itself to not take a particular stand. Elon has not 510 00:27:40,640 --> 00:27:43,959 Speaker 1: said that Tesla has a particular stand. 511 00:27:44,040 --> 00:27:44,200 Speaker 2: Right. 512 00:27:44,240 --> 00:27:49,000 Speaker 1: This is Elon musk individual donating his time to try 513 00:27:49,000 --> 00:27:52,560 Speaker 1: to make the government more efficient. It isn't actually directly 514 00:27:52,560 --> 00:27:55,600 Speaker 1: connected to Tesla at all. It would be different if 515 00:27:55,640 --> 00:27:59,320 Speaker 1: he had said, Hey, I don't want any Democrat to 516 00:27:59,440 --> 00:28:02,240 Speaker 1: drive my car. I would think that's a really bad move. 517 00:28:02,359 --> 00:28:05,879 Speaker 1: I'm old school buck, I'm like Michael Jordan. Republicans by 518 00:28:05,960 --> 00:28:08,800 Speaker 1: sneakers too, right, Like you should try to appeal to everyone. 519 00:28:09,359 --> 00:28:12,840 Speaker 1: The Commerce Secretary Howard Lutnick, who has been very outspoken 520 00:28:12,840 --> 00:28:14,720 Speaker 1: about a lot of things in the economy. He spoke, 521 00:28:14,960 --> 00:28:17,359 Speaker 1: He's straight up said now he's a senior government official, 522 00:28:17,400 --> 00:28:19,639 Speaker 1: cabinet member. Well, I'll let you listen to what he 523 00:28:19,640 --> 00:28:20,800 Speaker 1: said about Tesla play ten. 524 00:28:21,000 --> 00:28:24,480 Speaker 4: He's the guy who's going to build the next generation technology. 525 00:28:24,920 --> 00:28:27,119 Speaker 4: I think if you want to learn something on this 526 00:28:27,160 --> 00:28:32,359 Speaker 4: show tonight by Tesla, it's unbelievable that this guy stock 527 00:28:32,480 --> 00:28:35,200 Speaker 4: is this cheap. It'll never be this cheap again. When 528 00:28:35,240 --> 00:28:38,560 Speaker 4: people understand the things he's building, the robots he's building, 529 00:28:38,760 --> 00:28:41,880 Speaker 4: the technology he's building, people are going to be dreaming 530 00:28:41,960 --> 00:28:45,440 Speaker 4: of today and Jesse Waters and thinking, gosh, I should 531 00:28:45,440 --> 00:28:49,800 Speaker 4: have bought Elon Musk's stock. I mean, who wouldn't invest 532 00:28:49,800 --> 00:28:50,560 Speaker 4: in Elon Musk? 533 00:28:50,600 --> 00:28:52,720 Speaker 1: You gotta be kidding, all right, So you're calling the bottom. 534 00:28:53,240 --> 00:28:56,600 Speaker 4: This is it, Whether today's the bottom or not. I 535 00:28:56,680 --> 00:28:59,560 Speaker 4: tell you what, Elon Musk is probably the best person 536 00:28:59,600 --> 00:29:00,120 Speaker 4: to bet up. 537 00:29:00,680 --> 00:29:06,040 Speaker 1: I've ever met. There, you go, pretty strong endorsement. Buck Yeah, 538 00:29:06,120 --> 00:29:09,680 Speaker 1: the Commerce secretary effectively saying, this is the most impressive 539 00:29:10,280 --> 00:29:14,720 Speaker 1: CEO living today in the world. It's a big deal, 540 00:29:14,800 --> 00:29:17,880 Speaker 1: I thought, you know. And and he's trying to help 541 00:29:17,920 --> 00:29:22,240 Speaker 1: the government instead of just running his incredible companies. So yeah, 542 00:29:22,440 --> 00:29:26,520 Speaker 1: says something. And again, I just TESL is not doing anything. 543 00:29:27,120 --> 00:29:30,840 Speaker 1: Bud Light did something, right, we didn't say, oh, the 544 00:29:30,880 --> 00:29:34,920 Speaker 1: bud Light CEO did something and therefore you can't drink 545 00:29:34,960 --> 00:29:39,080 Speaker 1: bud Light anymore. Elon Musk runs a company, but he 546 00:29:39,160 --> 00:29:41,240 Speaker 1: has the right to free speech. He has the right 547 00:29:41,280 --> 00:29:45,720 Speaker 1: to make choices that Tesla Corporation is not actually doing 548 00:29:45,760 --> 00:29:48,600 Speaker 1: anything that you would disapprove of. I think that's a 549 00:29:48,600 --> 00:29:51,680 Speaker 1: pretty significant aspect here too. And I want to tell 550 00:29:51,720 --> 00:29:55,560 Speaker 1: you right now. Look, rapid radios they make a tremendous difference. 551 00:29:55,600 --> 00:29:57,880 Speaker 1: Like I was saying earlier this week, got a text 552 00:29:57,920 --> 00:30:00,600 Speaker 1: message from a friend who is up in Montane and 553 00:30:00,640 --> 00:30:03,480 Speaker 1: he was saying he doesn't have great cell phone coverage 554 00:30:03,760 --> 00:30:05,560 Speaker 1: and he loves the fact that he can stay in 555 00:30:05,600 --> 00:30:09,600 Speaker 1: contact with his family through his rapid radios. 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Modern day Rapid radios work right out of 566 00:30:40,320 --> 00:30:42,840 Speaker 1: the box. Turn them on, start talking, Go online Rapid 567 00:30:42,920 --> 00:30:46,360 Speaker 1: Radios dot com up to sixty percent off, free ups 568 00:30:46,400 --> 00:30:50,400 Speaker 1: shipping from Michigan plus a free protection bag. Add Code 569 00:30:50,520 --> 00:30:53,760 Speaker 1: Radio get an extra five percent off. These Rapid Radio 570 00:30:53,840 --> 00:30:56,920 Speaker 1: walkie talkies have batteries with a five day charge, lasting 571 00:30:57,000 --> 00:30:59,960 Speaker 1: long periods of time when you need a most Wrap 572 00:31:00,280 --> 00:31:03,960 Speaker 1: Radios dot com is the website address Rapid Radios dot com. 573 00:31:04,000 --> 00:31:06,760 Speaker 1: Youth Code Radio. You're gonna love them. These guys are 574 00:31:06,800 --> 00:31:11,080 Speaker 1: patriots out of Michigan. Five percent extra off with Code Radio. 575 00:31:11,960 --> 00:31:15,560 Speaker 5: News and politics, but also a little comic relief. 576 00:31:15,640 --> 00:31:17,640 Speaker 1: Clay Travis and Buck Sexton. 577 00:31:18,080 --> 00:31:21,400 Speaker 5: Find them on the free iHeartRadio app or wherever you 578 00:31:21,520 --> 00:31:22,520 Speaker 5: get your podcasts. 579 00:31:25,760 --> 00:31:27,680 Speaker 1: All right, welcome back into Clay and Buck. Our friend 580 00:31:27,720 --> 00:31:30,840 Speaker 1: Ryan Gradusky joins us. Now It's a Numbers Game is 581 00:31:30,880 --> 00:31:34,000 Speaker 1: his podcast. It's also true about life, but it's game. 582 00:31:34,080 --> 00:31:37,080 Speaker 1: It's his podcast on the clan Buck Network. No subscribe. Also, 583 00:31:37,480 --> 00:31:41,400 Speaker 1: National Populist Newsletter is his substack. Make sure you subscribe 584 00:31:41,400 --> 00:31:44,280 Speaker 1: to the podcast. First though, mister Gradusky, great to have 585 00:31:44,400 --> 00:31:47,080 Speaker 1: you with us. How are you? Yeah, we're good man. 586 00:31:47,120 --> 00:31:48,920 Speaker 1: So so you said, we have a lot of things 587 00:31:48,920 --> 00:31:51,440 Speaker 1: to run by you. But first off, what was your 588 00:31:51,480 --> 00:31:53,600 Speaker 1: biggest takeaway when you looked at those numbers that were 589 00:31:53,600 --> 00:31:59,680 Speaker 1: released yesterday where the outlier extraordinaire was white college educated 590 00:31:59,680 --> 00:32:04,640 Speaker 1: women who are apparently obsessed with Zelenski and di. 591 00:32:05,400 --> 00:32:07,520 Speaker 8: Yeah, I don't think that shocked anybody. Those with the 592 00:32:07,640 --> 00:32:11,360 Speaker 8: NBC polls that they held from Sunday, They just live. 593 00:32:11,600 --> 00:32:14,240 Speaker 8: White men without a college degree and white women with 594 00:32:14,240 --> 00:32:17,000 Speaker 8: a college degree don't live in the same country. I mean, 595 00:32:17,040 --> 00:32:19,880 Speaker 8: they just fundamentally don't. Men without a white man without 596 00:32:19,880 --> 00:32:22,520 Speaker 8: a college degree live in Texas and white women without 597 00:32:22,520 --> 00:32:25,000 Speaker 8: a college with a college degree live in like Sweden. 598 00:32:25,480 --> 00:32:27,760 Speaker 8: So it's just it's not they don't. They don't have 599 00:32:27,800 --> 00:32:30,719 Speaker 8: the same concerns, they don't have the same issues. It's 600 00:32:30,760 --> 00:32:33,840 Speaker 8: it's bizarre. And when I can kind of I can 601 00:32:33,960 --> 00:32:36,440 Speaker 8: kind of like sit there and really break it into 602 00:32:36,560 --> 00:32:39,600 Speaker 8: an ideology is that one has a very comfortable level 603 00:32:39,640 --> 00:32:41,680 Speaker 8: of living and one does not. If your biggest issue 604 00:32:41,680 --> 00:32:45,239 Speaker 8: with Zelenski You're probably not worry that much about your 605 00:32:45,280 --> 00:32:49,440 Speaker 8: monthly bills or an illegal alien, you know, attacking you 606 00:32:49,600 --> 00:32:51,719 Speaker 8: or breaking to your ranch if you live on the border. 607 00:32:52,040 --> 00:32:54,320 Speaker 8: This is just a completely different life that they live. 608 00:32:54,520 --> 00:32:57,720 Speaker 8: And yeah, I mean it's it's a totally different world. 609 00:32:57,760 --> 00:33:00,280 Speaker 8: And it makes for bad politics because white women with 610 00:33:00,280 --> 00:33:02,640 Speaker 8: a college degree who are on the left are getting 611 00:33:02,680 --> 00:33:05,720 Speaker 8: more radicalized. They're getting further to the left, and that's 612 00:33:05,840 --> 00:33:06,560 Speaker 8: a problem. 613 00:33:07,240 --> 00:33:11,360 Speaker 1: So does the problem get resolved in any way if 614 00:33:11,400 --> 00:33:16,160 Speaker 1: abortion becomes less of a national political issue and more 615 00:33:16,200 --> 00:33:19,200 Speaker 1: of an individual state issue, Because it seems like to me, 616 00:33:19,240 --> 00:33:22,200 Speaker 1: and I'm curious if you buy this thesis Ryan, that 617 00:33:22,360 --> 00:33:27,160 Speaker 1: Democrats have uniquely exploited the fears of educated white women 618 00:33:27,880 --> 00:33:31,719 Speaker 1: when it comes to reproductive rights, and that that is 619 00:33:31,880 --> 00:33:35,200 Speaker 1: the motivating factor for many of them, particularly if you're 620 00:33:35,200 --> 00:33:38,400 Speaker 1: in your twenties or thirties. Given the fact that abortion, 621 00:33:38,640 --> 00:33:41,400 Speaker 1: whatever you think about it, the numbers haven't really changed 622 00:33:41,400 --> 00:33:44,720 Speaker 1: that much since Roe v. Wade was overturned. Is the 623 00:33:44,920 --> 00:33:48,959 Speaker 1: impact of abortion as a national political issue maybe something 624 00:33:49,000 --> 00:33:51,840 Speaker 1: that could bring these women back to some measure of 625 00:33:51,880 --> 00:33:53,480 Speaker 1: political sanity or not. 626 00:33:55,080 --> 00:33:56,800 Speaker 8: No, I don't think that it's abortion. I mean I 627 00:33:56,800 --> 00:33:59,239 Speaker 8: think abortion is part of the question, but part of it, 628 00:33:59,320 --> 00:34:02,440 Speaker 8: certainly a large part. But the second the biggest group 629 00:34:02,520 --> 00:34:05,320 Speaker 8: of white women to vote for Democrats were white women 630 00:34:05,360 --> 00:34:07,640 Speaker 8: in their late twenties early thirties. That would be the 631 00:34:07,680 --> 00:34:10,960 Speaker 8: abortion group. The second largest were white women over the 632 00:34:11,000 --> 00:34:14,040 Speaker 8: age of seventy but under the age of eighty. So 633 00:34:14,760 --> 00:34:16,840 Speaker 8: if it was just an abortion thing. 634 00:34:17,120 --> 00:34:19,880 Speaker 1: So sorry to cut you off. If that's fascinating, what 635 00:34:19,920 --> 00:34:23,239 Speaker 1: do you think is motivating those white women college educated 636 00:34:23,360 --> 00:34:26,759 Speaker 1: seventy to eighty Because again, abortion to your point, I 637 00:34:26,800 --> 00:34:28,080 Speaker 1: don't think they're getting abortions. 638 00:34:29,440 --> 00:34:32,839 Speaker 8: Yeah, they're watching MSNBC and Rachel Meadow and they are 639 00:34:33,360 --> 00:34:37,839 Speaker 8: BLM and they are listen. The baby boomer generation was 640 00:34:37,920 --> 00:34:41,879 Speaker 8: the very it was the second most progressive generation to millennials. 641 00:34:41,960 --> 00:34:46,520 Speaker 8: I mean, they are a progressive generation. And if your 642 00:34:46,880 --> 00:34:50,400 Speaker 8: entire life is basically politics, which I mean for a 643 00:34:50,440 --> 00:34:52,880 Speaker 8: lot of a lot of women in their seventies and 644 00:34:52,920 --> 00:34:55,160 Speaker 8: eighties who either a don't have husbands because they've passed 645 00:34:55,160 --> 00:34:59,240 Speaker 8: away or they never married, or they don't have children 646 00:34:59,320 --> 00:35:03,480 Speaker 8: or grandchildren because their millennial children never had children, politics 647 00:35:03,480 --> 00:35:05,440 Speaker 8: becomes a bigger and bigger and bigger issue in your 648 00:35:05,560 --> 00:35:09,480 Speaker 8: life and what we saw in the other thing that 649 00:35:09,520 --> 00:35:11,160 Speaker 8: came out on Monday, which I what about for the 650 00:35:11,200 --> 00:35:14,520 Speaker 8: National papa's news that are David Shore's thing. David Shore's 651 00:35:14,600 --> 00:35:18,560 Speaker 8: big piece on data was that people who paid attention 652 00:35:18,640 --> 00:35:22,360 Speaker 8: to politics a lot voted very, very heavily to Kamala Harrison. 653 00:35:22,360 --> 00:35:25,080 Speaker 8: People who got their news from mainstream media outlets. If 654 00:35:25,080 --> 00:35:27,520 Speaker 8: you look at the average CNN or MSNBC viewer, they 655 00:35:27,520 --> 00:35:29,480 Speaker 8: are over the age of seventy years old. They are 656 00:35:29,520 --> 00:35:32,880 Speaker 8: seven year old, usually college educated or non college but 657 00:35:32,960 --> 00:35:36,279 Speaker 8: mostly college educated, white women who obsess about politics. It 658 00:35:36,320 --> 00:35:40,160 Speaker 8: is their religion, it's their QBC, it's there, it's the 659 00:35:40,239 --> 00:35:42,080 Speaker 8: children that they didn't have, with the grandchildren they didn't have. 660 00:35:42,239 --> 00:35:47,200 Speaker 8: It becomes their whole world. And that's why it's become 661 00:35:47,320 --> 00:35:50,200 Speaker 8: so toxic. And they also fall in line on every issue. 662 00:35:50,280 --> 00:35:53,239 Speaker 8: They're not only for BLM. They have long COVID. They 663 00:35:53,239 --> 00:35:56,080 Speaker 8: don't only have long COVID. They need to protect abortion rights. 664 00:35:56,120 --> 00:35:57,960 Speaker 8: They don't know any protect abortion rights. They need to 665 00:35:57,960 --> 00:36:02,280 Speaker 8: protect trans rights in Angola. You know the USAID every 666 00:36:02,320 --> 00:36:05,040 Speaker 8: single you know, tyranny is on the is on the 667 00:36:05,239 --> 00:36:07,840 Speaker 8: run every single second of every single day. If you 668 00:36:07,880 --> 00:36:11,400 Speaker 8: hear them, it's exhausting to live that way. But that's 669 00:36:11,440 --> 00:36:14,200 Speaker 8: the that's the second biggest group outside of like late 670 00:36:14,239 --> 00:36:17,440 Speaker 8: twenty early thirties. It's not abortion, it's just straight up ideology. 671 00:36:17,880 --> 00:36:21,719 Speaker 8: And perhaps because they live in such comfortable environments suburbs, 672 00:36:22,000 --> 00:36:24,200 Speaker 8: wealthy parts of cities, they don't have to worry about 673 00:36:24,200 --> 00:36:27,160 Speaker 8: crime or or you know, the fact that they're not 674 00:36:27,280 --> 00:36:30,080 Speaker 8: money coming in the next month. They're probably living pretty comfortably. 675 00:36:31,640 --> 00:36:35,440 Speaker 1: So, Ryan, I wanted to ask you about these slew 676 00:36:35,680 --> 00:36:39,680 Speaker 1: of people, including Gail King, Nancy Pelosi and others, who 677 00:36:39,680 --> 00:36:42,680 Speaker 1: are really giving Schumer some rough stuff. Is this just 678 00:36:42,760 --> 00:36:46,239 Speaker 1: about the CR that he went along with so that 679 00:36:46,320 --> 00:36:48,640 Speaker 1: the government didn't shut down? I mean we could expect that. 680 00:36:49,239 --> 00:36:52,120 Speaker 1: Or is this going deeper to the power struggle within 681 00:36:52,160 --> 00:36:55,759 Speaker 1: the Democrat Party right now? And if so, who is 682 00:36:55,880 --> 00:36:59,600 Speaker 1: angling to take over what feels like a ship that 683 00:36:59,600 --> 00:37:02,640 Speaker 1: has on many leaks over at Democrat land. 684 00:37:03,719 --> 00:37:05,200 Speaker 8: Well, I think the fact that not only did he 685 00:37:05,280 --> 00:37:08,919 Speaker 8: vote for the CR, but he left vulnerable House Democrats. 686 00:37:09,360 --> 00:37:11,520 Speaker 8: I mean they like they all voted against it except 687 00:37:11,560 --> 00:37:14,120 Speaker 8: for Jared Golden Up. In main second, you have a 688 00:37:14,160 --> 00:37:17,440 Speaker 8: dozen Democrats who live in Trump districts who just voted 689 00:37:17,440 --> 00:37:20,120 Speaker 8: to shut down the government and they just vote against 690 00:37:20,160 --> 00:37:22,600 Speaker 8: all the things that that means, all the funding for 691 00:37:23,000 --> 00:37:26,799 Speaker 8: military and veterans and seniors and everything. And there will 692 00:37:26,800 --> 00:37:29,279 Speaker 8: be a campaign commercial coming to every one of those 693 00:37:29,320 --> 00:37:31,359 Speaker 8: districts in a few in the next year, and it's 694 00:37:31,520 --> 00:37:36,040 Speaker 8: thirteen months or fifteen months saying, you know, insert Democrat 695 00:37:36,080 --> 00:37:39,200 Speaker 8: here voted to shut down your government and suspend your 696 00:37:39,360 --> 00:37:42,200 Speaker 8: you know, payments to your veterans. That is going to 697 00:37:42,280 --> 00:37:44,200 Speaker 8: hurt them and it's going to be so toxic, and 698 00:37:44,200 --> 00:37:46,640 Speaker 8: it makes them look like they can't govern. And you know, 699 00:37:46,640 --> 00:37:48,000 Speaker 8: they say they can't get anything out of it. They 700 00:37:48,080 --> 00:37:49,560 Speaker 8: got the old Biden budget. I mean there was like 701 00:37:49,680 --> 00:37:52,920 Speaker 8: thing ten billion in cuts. There's nothing really in cuts substantial, 702 00:37:53,360 --> 00:37:55,799 Speaker 8: but it makes them look bad, makes mostly they can't govern. 703 00:37:55,920 --> 00:37:58,960 Speaker 8: And who replaces Schumer, I don't know who's going to 704 00:37:59,000 --> 00:38:01,120 Speaker 8: It used to be with like dict Urban, he's eighty three, 705 00:38:01,400 --> 00:38:04,439 Speaker 8: he's on his way out. It won't be Bernie, I mean, 706 00:38:04,560 --> 00:38:07,240 Speaker 8: Elizabeth Warren is seventy six. It has to be somebody 707 00:38:07,239 --> 00:38:09,640 Speaker 8: who can bring in a lot of money, because that's 708 00:38:09,800 --> 00:38:11,920 Speaker 8: really a big part of the job as being leaders 709 00:38:11,920 --> 00:38:14,160 Speaker 8: who can raise a lot of money. It's not like 710 00:38:14,280 --> 00:38:16,200 Speaker 8: Kirsten Gillibrand. They have a big, big. 711 00:38:16,040 --> 00:38:18,640 Speaker 1: Issue who is the best? Who is the best fundraiser? Ryan, 712 00:38:18,640 --> 00:38:20,439 Speaker 1: because you'd actually know this, And I'm just curious because 713 00:38:20,440 --> 00:38:24,759 Speaker 1: you're who's the best Democrat fundraiser? Now? Who's under sixty five? 714 00:38:26,160 --> 00:38:29,879 Speaker 8: The best fundraiser on the Republican side is? I think 715 00:38:29,920 --> 00:38:32,880 Speaker 8: I'm pretty sure it's Tim Scott for sure on the 716 00:38:32,880 --> 00:38:36,600 Speaker 8: Senate side. Tim Scott's the best fundraiser. On the Democratic side, 717 00:38:36,680 --> 00:38:38,920 Speaker 8: I believe it's Schumer in his pack. Schumer and his 718 00:38:39,000 --> 00:38:41,479 Speaker 8: packs raised over one hundred million dollars a year. 719 00:38:41,760 --> 00:38:44,200 Speaker 1: But I'm talking about the younger generation. Is there anybody 720 00:38:44,239 --> 00:38:45,759 Speaker 1: who's already starting. 721 00:38:45,440 --> 00:38:49,720 Speaker 8: To say AOC for sure? Corey Bush ISOC AOC. 722 00:38:50,080 --> 00:38:50,279 Speaker 1: Yeah. 723 00:38:50,280 --> 00:38:52,759 Speaker 8: AOC raises a bucket loads of money. Yeah, and she 724 00:38:52,840 --> 00:38:53,800 Speaker 8: usually gives it all away. 725 00:38:55,040 --> 00:38:59,000 Speaker 1: We're talking to Ryan Gerdusky. Ryan, I love the data 726 00:38:59,239 --> 00:39:01,480 Speaker 1: that you bring to bear. Encourage people to check out 727 00:39:01,480 --> 00:39:06,280 Speaker 1: your podcast. The data reflects that Trump did not actually 728 00:39:06,320 --> 00:39:09,319 Speaker 1: do better with white voters, right, The white voters from 729 00:39:09,320 --> 00:39:13,600 Speaker 1: like twenty sixteen to twenty twenty four have stayed basically similar, 730 00:39:14,120 --> 00:39:17,000 Speaker 1: and that in fact, moved a little bit Democrat maybe, 731 00:39:17,239 --> 00:39:20,080 Speaker 1: but that the reason why Trump won in all fifty states, 732 00:39:20,200 --> 00:39:25,120 Speaker 1: Black Hispanic Asian support rising. I'm curious is now the 733 00:39:25,200 --> 00:39:28,640 Speaker 1: Trump Yeah? Is that Trump support? You think as we 734 00:39:28,680 --> 00:39:32,080 Speaker 1: look ahead to twenty six and twenty eight, how much 735 00:39:32,120 --> 00:39:34,799 Speaker 1: of that do you think is attributable to Trump himself 736 00:39:35,320 --> 00:39:38,640 Speaker 1: as opposed to the Republican Party. In other words, does 737 00:39:38,680 --> 00:39:41,880 Speaker 1: that movement continue if it's JD. Vance or someone like that, 738 00:39:42,160 --> 00:39:45,160 Speaker 1: or is Trump a unique political unicorn in that respect? 739 00:39:46,680 --> 00:39:49,520 Speaker 8: So this is the episode for a Numbers Game podcast 740 00:39:49,520 --> 00:39:51,840 Speaker 8: that's coming out next Monday. I'm super excited about this. 741 00:39:51,920 --> 00:39:55,280 Speaker 8: Data comes from David Shore, who's a Democrat, a data scientist. 742 00:39:55,280 --> 00:39:57,640 Speaker 8: He's brilliant and very very smart his data, and he 743 00:39:57,719 --> 00:40:01,040 Speaker 8: did a really deep out of not only like exit polling, 744 00:40:01,080 --> 00:40:04,919 Speaker 8: but where people were voting and looking at voting files. 745 00:40:05,440 --> 00:40:08,520 Speaker 8: What happened was between twenty sixteen and twenty twenty, Trump 746 00:40:08,680 --> 00:40:11,720 Speaker 8: lost about one to two percent of the white vote 747 00:40:11,760 --> 00:40:14,640 Speaker 8: in between those two elections. He gained all that back 748 00:40:14,640 --> 00:40:18,480 Speaker 8: in twenty twenty four. So there were Trump or Gary 749 00:40:18,560 --> 00:40:23,000 Speaker 8: Johnson Biden Trump voters. There was that swing basically all 750 00:40:23,040 --> 00:40:25,279 Speaker 8: the people, but for Gary Johnson instead of Hillary and 751 00:40:25,280 --> 00:40:28,400 Speaker 8: then voted for Biden, came back to Trump. That was 752 00:40:29,440 --> 00:40:32,320 Speaker 8: that was worth one point five percent of his three 753 00:40:32,360 --> 00:40:35,879 Speaker 8: point national game. Half came from white people, the other 754 00:40:36,000 --> 00:40:40,320 Speaker 8: half came from minorities. He didn't gain that much with blacks, 755 00:40:40,320 --> 00:40:42,400 Speaker 8: It was a small amount. The biggest was Black conservatives. 756 00:40:42,440 --> 00:40:44,279 Speaker 8: He gained about eight points over the course the last 757 00:40:44,320 --> 00:40:48,719 Speaker 8: eight years. But among Hispanic moderates he gained twenty three points. 758 00:40:48,760 --> 00:40:51,279 Speaker 8: In twenty sixteen, Hillary won eighty one percent of his 759 00:40:51,320 --> 00:40:54,879 Speaker 8: Spanic moderates. Trump won fifty. Sorry, Kamala won fifty eight 760 00:40:54,880 --> 00:40:58,239 Speaker 8: percent eight years later, So from eighty one to fifty eight, 761 00:40:58,440 --> 00:41:01,640 Speaker 8: the other part was Asian moderates. Hillary one seventy eight, 762 00:41:01,719 --> 00:41:05,520 Speaker 8: Kamala one sixty seven, a double digit drop among moderates 763 00:41:05,520 --> 00:41:08,600 Speaker 8: in the Asian community. Is this a Trump thing partially, 764 00:41:08,600 --> 00:41:12,160 Speaker 8: but it's part of a larger national story. In England 765 00:41:12,160 --> 00:41:16,000 Speaker 8: you see the Conservative Party doing better among minorities. In Canada, 766 00:41:16,080 --> 00:41:18,799 Speaker 8: you see the Conservatives doing better among minorities. It is 767 00:41:18,840 --> 00:41:22,040 Speaker 8: a thing along the entire West where you've started seeing 768 00:41:22,360 --> 00:41:25,520 Speaker 8: part of minority, as part of the minority coalition, vote 769 00:41:25,520 --> 00:41:28,359 Speaker 8: their ideology instead of their race, which they usually vote 770 00:41:28,400 --> 00:41:30,920 Speaker 8: their race over their ideology. Is it a Trump thing, 771 00:41:30,960 --> 00:41:33,960 Speaker 8: That's a great question. Actually, Trump was more of a 772 00:41:34,000 --> 00:41:38,439 Speaker 8: deterrent than a supplier of this. The people who don't 773 00:41:38,480 --> 00:41:42,000 Speaker 8: trust the Democratic Party is higher than the people who 774 00:41:42,080 --> 00:41:46,040 Speaker 8: voted for Trump. Had everybody been voting, voted have forced 775 00:41:46,080 --> 00:41:49,000 Speaker 8: to vote. David Shore's estimates that Trump wouldn't have won 776 00:41:49,040 --> 00:41:52,040 Speaker 8: by one point seven points percent, he would have won 777 00:41:52,120 --> 00:41:55,719 Speaker 8: by five percent. Because when you ask on issues like 778 00:41:56,000 --> 00:42:00,400 Speaker 8: everything from like AI to poverty to not only does 779 00:42:00,520 --> 00:42:05,640 Speaker 8: the economy and immigration, but student loans, they trust Republicans 780 00:42:05,840 --> 00:42:09,040 Speaker 8: way more than Democrats. The only issue Democrats have a 781 00:42:09,120 --> 00:42:11,560 Speaker 8: sizeable advantage that people care on, an issue that people 782 00:42:11,560 --> 00:42:15,040 Speaker 8: care about is healthcare. That is the only issue that 783 00:42:15,120 --> 00:42:18,800 Speaker 8: they have over Republicans On everything else, they have a deep, 784 00:42:19,080 --> 00:42:22,279 Speaker 8: deep distrust of the Democratic Party. And I'll say one 785 00:42:22,280 --> 00:42:25,720 Speaker 8: more thing. Voters who got their information from social media 786 00:42:26,000 --> 00:42:29,040 Speaker 8: were much more inclined to vote for Trump. The biggest group, 787 00:42:29,239 --> 00:42:31,640 Speaker 8: the biggest demographic to vote for Trump. According to the 788 00:42:31,680 --> 00:42:35,640 Speaker 8: David Shor data, white men under the age of twenty. 789 00:42:35,680 --> 00:42:40,240 Speaker 8: Seventy five percent of white men under twenty voted for Trump. 790 00:42:40,719 --> 00:42:44,319 Speaker 8: That is the largest demographic of any group ever, more 791 00:42:44,360 --> 00:42:48,279 Speaker 8: than seniors, more than any other racial group. Trump won 792 00:42:48,400 --> 00:42:52,440 Speaker 8: a majority of voters under twenty white women, white men, 793 00:42:52,800 --> 00:42:55,600 Speaker 8: and non white men. The only group under twenty that 794 00:42:55,680 --> 00:42:58,960 Speaker 8: Trump lost to Kamala Harris were non white women. 795 00:43:00,360 --> 00:43:04,200 Speaker 1: That's amazing. Stat is amazing. Yeah. Do you think that's COVID. 796 00:43:04,280 --> 00:43:08,960 Speaker 8: Yeah, it's yes, it's completely COVID. It is the lockdown generation. 797 00:43:09,200 --> 00:43:14,320 Speaker 8: Lockdowns split jen Wiz Zoomers in half. So older Zoomers 798 00:43:14,360 --> 00:43:16,839 Speaker 8: who had already gone through the high school experience and 799 00:43:16,920 --> 00:43:20,239 Speaker 8: graduated or were even past college, they are much more 800 00:43:20,239 --> 00:43:25,239 Speaker 8: liberal than those who were lockdown and misgraduations games. Friends. 801 00:43:25,520 --> 00:43:27,799 Speaker 8: They were getting all their news on the Internet, and 802 00:43:27,840 --> 00:43:29,960 Speaker 8: they were coming at a time where the BLM riots 803 00:43:29,960 --> 00:43:32,640 Speaker 8: were happening, that me too was happening, and there was 804 00:43:32,680 --> 00:43:36,440 Speaker 8: a surge of Internet personalities, everyone from Jordan Peterson to 805 00:43:36,520 --> 00:43:41,200 Speaker 8: Ben Shapiro to more nefarious characters in the Internet but noneless. Still, 806 00:43:41,440 --> 00:43:44,920 Speaker 8: they were being inundated with information from social media, free 807 00:43:45,480 --> 00:43:49,239 Speaker 8: of the gates that the regular media provides. And so 808 00:43:49,600 --> 00:43:52,920 Speaker 8: the younger generation right now is the most Republicans. Eighteen 809 00:43:52,960 --> 00:43:54,920 Speaker 8: to twenty year olds in the last election are the 810 00:43:54,960 --> 00:43:58,319 Speaker 8: most Republican generation, according to the David Shore data, which 811 00:43:58,320 --> 00:44:01,360 Speaker 8: I do trust, the most republican generation since the greatest 812 00:44:01,360 --> 00:44:03,799 Speaker 8: generation the fought World War Two. That is how far 813 00:44:03,920 --> 00:44:07,200 Speaker 8: right wing, especially white men under the age of twenty, 814 00:44:07,440 --> 00:44:10,920 Speaker 8: the most republican generation we have seen probably in sixty 815 00:44:10,960 --> 00:44:11,800 Speaker 8: to seventy years. 816 00:44:12,719 --> 00:44:15,680 Speaker 1: Go check out more from Ryan Gerdusky with It's a 817 00:44:15,760 --> 00:44:18,200 Speaker 1: Numbers Game, his podcast on the Klayan Buck Network. He 818 00:44:18,239 --> 00:44:20,279 Speaker 1: does the best data analysis of anybody in the game. 819 00:44:20,520 --> 00:44:24,000 Speaker 1: And subscribe to who is National Populist newsletter on substack. 820 00:44:24,080 --> 00:44:26,480 Speaker 1: Ryan really interesting as always, man, Thanks for being here. 821 00:44:27,280 --> 00:44:27,640 Speaker 8: Thank you. 822 00:44:29,360 --> 00:44:32,040 Speaker 1: Out of North Carolina is the best kept secret in 823 00:44:32,080 --> 00:44:34,880 Speaker 1: the firearms industry. Bear Creek Arsenal. 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Buck. 841 00:45:23,840 --> 00:45:27,280 Speaker 5: Keep up with the biggest political comeback in world history 842 00:45:27,320 --> 00:45:30,880 Speaker 5: on the Team forty seven podcast play and Buck Highlight 843 00:45:30,960 --> 00:45:32,320 Speaker 5: Trump Free plays from. 844 00:45:32,160 --> 00:45:34,040 Speaker 1: The week Sundays at noon Eastern. 845 00:45:34,160 --> 00:45:37,239 Speaker 5: Find it on the iHeartRadio app or wherever you get 846 00:45:37,280 --> 00:45:38,200 Speaker 5: your podcasts. 847 00:45:40,040 --> 00:45:42,880 Speaker 1: Welcome Ack In, Clay Traviits Buck Sexton Show. Appreciate all 848 00:45:42,920 --> 00:45:45,040 Speaker 1: of you hanging out with us. We are joined now 849 00:45:45,080 --> 00:45:48,240 Speaker 1: by our good friend Julie Kelly. We were just talking 850 00:45:48,360 --> 00:45:50,759 Speaker 1: earlier in the program at the top of this hour 851 00:45:51,200 --> 00:45:55,160 Speaker 1: about all of the craziness coming from the federal District 852 00:45:55,160 --> 00:45:58,759 Speaker 1: Court judges and Julie, I'll start off with this. I 853 00:45:58,960 --> 00:46:01,480 Speaker 1: said that I am so what optimistic that things are 854 00:46:01,520 --> 00:46:05,040 Speaker 1: going to get better with the judiciary in the years 855 00:46:05,080 --> 00:46:08,279 Speaker 1: ahead because Trump last I mean, Trump won, and I 856 00:46:08,320 --> 00:46:11,800 Speaker 1: think one reason Democrats lost was because they went so political. 857 00:46:12,440 --> 00:46:14,440 Speaker 1: You have been covering, and they try to put them 858 00:46:14,440 --> 00:46:15,960 Speaker 1: in prison, and they try to bankrupt him in all 859 00:46:16,000 --> 00:46:19,600 Speaker 1: those things. You've been covering these cases like crazy. We've 860 00:46:19,600 --> 00:46:22,440 Speaker 1: never seen anything like the resistance that Trump is getting 861 00:46:22,440 --> 00:46:25,680 Speaker 1: from the federal district courts right now. Are you optimistic 862 00:46:25,719 --> 00:46:28,240 Speaker 1: in the future or do you think our judicial system 863 00:46:28,400 --> 00:46:32,920 Speaker 1: is just a huge pile of steaming pooh. 864 00:46:33,000 --> 00:46:35,439 Speaker 2: Well, I hate to disagree with you, but I'm going 865 00:46:35,480 --> 00:46:39,640 Speaker 2: to go with the latter, because, of course I have covered, 866 00:46:39,760 --> 00:46:42,520 Speaker 2: especially in Washington, DC, and I've talked about with you 867 00:46:42,560 --> 00:46:45,920 Speaker 2: guys what's happened with the j six proceedings in Washington 868 00:46:46,120 --> 00:46:52,080 Speaker 2: and the case against the president. These judges feel impervious 869 00:46:52,640 --> 00:46:56,400 Speaker 2: and they have not been held accountabul when Chief Justice 870 00:46:56,480 --> 00:47:02,640 Speaker 2: sunt rothbert that really inappropriate. I think treatment about impeachment 871 00:47:03,040 --> 00:47:05,719 Speaker 2: not his place. Number one. The problem is not that 872 00:47:05,800 --> 00:47:09,520 Speaker 2: impeachment is thrown around or overused. The problem is that 873 00:47:09,640 --> 00:47:13,880 Speaker 2: impeachment has not been used. I think fourteen federal judges 874 00:47:13,920 --> 00:47:18,000 Speaker 2: have been impeached, only eight have been convicted. Congress has 875 00:47:18,040 --> 00:47:22,319 Speaker 2: completely advocated its oversight role of the federal judiciary. So 876 00:47:22,440 --> 00:47:25,719 Speaker 2: this is how you get Jim Bossberg, and this is 877 00:47:25,719 --> 00:47:28,719 Speaker 2: how you get time to Chuckkin and Baryl Howell and 878 00:47:28,800 --> 00:47:33,000 Speaker 2: these other judges because they know they're not accountable. So 879 00:47:33,239 --> 00:47:36,680 Speaker 2: until these judges are held accountable, and not by being 880 00:47:36,680 --> 00:47:39,279 Speaker 2: reversed by the Supreme Court. I saw that in the 881 00:47:39,440 --> 00:47:42,759 Speaker 2: immunity case. I saw that the Fisher the overturning of 882 00:47:42,760 --> 00:47:46,879 Speaker 2: the fifteen twelve v. Two against j six ers. These 883 00:47:46,920 --> 00:47:50,680 Speaker 2: lower court judges don't care and if if they're Democrats, 884 00:47:50,840 --> 00:47:53,760 Speaker 2: they don't think that the Supreme Court is legitimate anyway. 885 00:47:54,360 --> 00:47:57,360 Speaker 2: So this is a serious crisis. This is why the 886 00:47:57,400 --> 00:48:00,399 Speaker 2: public's trust in the federal judiciary is that an all 887 00:48:00,480 --> 00:48:04,960 Speaker 2: time low, and Republicans who are threatening to file articles 888 00:48:04,960 --> 00:48:08,200 Speaker 2: and impeach and I think some have been filed, or 889 00:48:08,239 --> 00:48:12,560 Speaker 2: to strict jurisdiction from some of the most egregious political 890 00:48:12,600 --> 00:48:15,440 Speaker 2: actors on the bench, or simply to shut down the 891 00:48:15,520 --> 00:48:20,280 Speaker 2: DC's federal court system, which I've advocated for years strong 892 00:48:20,320 --> 00:48:23,040 Speaker 2: measures need to be taken otherwise this is going to 893 00:48:23,120 --> 00:48:23,759 Speaker 2: actually help. 894 00:48:25,120 --> 00:48:27,719 Speaker 1: It really bothers me, Julie, to see how much the 895 00:48:28,840 --> 00:48:35,840 Speaker 1: DC Circuit Court is essentially an extra branch of government. 896 00:48:35,880 --> 00:48:39,280 Speaker 1: It's like the failsafe for the deep state. Right, they 897 00:48:39,320 --> 00:48:41,880 Speaker 1: can bring any case they want there, and they know 898 00:48:42,040 --> 00:48:44,720 Speaker 1: that unless the Supreme Court steps in, they'll get their way. 899 00:48:45,200 --> 00:48:47,280 Speaker 1: And this is very clear the fact that they didn't. 900 00:48:47,520 --> 00:48:49,600 Speaker 1: I always have to remind people of this that none 901 00:48:49,640 --> 00:48:52,520 Speaker 1: of the j six related individuals were able to get 902 00:48:52,880 --> 00:48:57,600 Speaker 1: a different a different venue for the trial. I think 903 00:48:57,680 --> 00:49:00,279 Speaker 1: even I think Timothy McVay was given a different you 904 00:49:00,360 --> 00:49:02,840 Speaker 1: for his trial from Oklahoma City. If memory serves like 905 00:49:03,080 --> 00:49:05,920 Speaker 1: this is a standard thing in the justice system for 906 00:49:06,120 --> 00:49:08,400 Speaker 1: people if there's considered to be a prejudice jury to 907 00:49:08,560 --> 00:49:10,319 Speaker 1: be able to get it. No one right, No one 908 00:49:10,400 --> 00:49:14,120 Speaker 1: got got the court or got the jurisdiction. The venue 909 00:49:14,560 --> 00:49:18,000 Speaker 1: moved from DC. So that's very troubling some of these 910 00:49:18,000 --> 00:49:20,040 Speaker 1: district judges. Of the stuff that they've come up with, 911 00:49:20,640 --> 00:49:23,880 Speaker 1: the ones that to me are well the turning around 912 00:49:23,880 --> 00:49:26,000 Speaker 1: of the plane with the trend to Ragua guys, that 913 00:49:26,440 --> 00:49:28,879 Speaker 1: seems to be the most egregious. I think to most 914 00:49:28,880 --> 00:49:31,560 Speaker 1: of us, but a couple of other ones jually the judge, 915 00:49:31,560 --> 00:49:33,919 Speaker 1: and you're familiar with these different judges. I know too, 916 00:49:33,960 --> 00:49:37,160 Speaker 1: So that's the thing. You know who these individuals are 917 00:49:37,200 --> 00:49:39,960 Speaker 1: from covering them. The judge who said that you can't 918 00:49:40,440 --> 00:49:44,000 Speaker 1: ban transgenders from serving in the military. And now there's 919 00:49:44,000 --> 00:49:47,120 Speaker 1: a judge that I believe has ordered the DOJ to 920 00:49:47,600 --> 00:49:51,000 Speaker 1: return men to a women's prison who say they're transgender, 921 00:49:51,080 --> 00:49:53,000 Speaker 1: Like this is just they're just making up laws. 922 00:49:53,040 --> 00:49:58,000 Speaker 2: Now they are, and they're completely undermining. And these are 923 00:49:58,000 --> 00:50:02,760 Speaker 2: all related to presidential executive orders. So what you're talking 924 00:50:02,800 --> 00:50:06,480 Speaker 2: about is Anna Reeus, who is the first LGBTQ Biden 925 00:50:06,560 --> 00:50:12,680 Speaker 2: appointed district court judge in Washington, basically reversing vacating the 926 00:50:12,760 --> 00:50:18,280 Speaker 2: President's executive order on transgenders in the military. Royce Lambert, 927 00:50:18,400 --> 00:50:23,319 Speaker 2: a regular appointee who I watched just absolutely throw the 928 00:50:23,360 --> 00:50:27,759 Speaker 2: book at Jay six Ers, throwing grandmothers in prison for 929 00:50:27,800 --> 00:50:33,200 Speaker 2: fifty seven months on the obstruction count that was later overturned, 930 00:50:33,840 --> 00:50:39,400 Speaker 2: and he himself rejecting the President's executive order and ordering 931 00:50:39,400 --> 00:50:44,799 Speaker 2: the government US to pay for hormone therapy and transitional 932 00:50:44,840 --> 00:50:49,520 Speaker 2: surgery for these transients who are in prison either criminals. Right, 933 00:50:49,560 --> 00:50:52,040 Speaker 2: We're not just saying, you know, for whoever wants it. 934 00:50:52,520 --> 00:50:55,839 Speaker 2: They are in federal custodies. And then of course Jim 935 00:50:55,880 --> 00:51:01,320 Speaker 2: Bossberg ordering verbally for or the Department of Justice and 936 00:51:01,400 --> 00:51:06,200 Speaker 2: BHS to return flights that were already in the air 937 00:51:07,080 --> 00:51:10,960 Speaker 2: out of US air space, very likely traveling over either 938 00:51:11,000 --> 00:51:15,160 Speaker 2: Mexico or Central America, ordering the return of those flights 939 00:51:15,200 --> 00:51:21,680 Speaker 2: carrying known illegal immigrants or suspected Venezuelan terrorist tied to 940 00:51:22,160 --> 00:51:26,840 Speaker 2: that DA day. Who do these judges think that they are? 941 00:51:27,640 --> 00:51:30,399 Speaker 2: And so now what Gosburg is doing is I think 942 00:51:30,440 --> 00:51:33,040 Speaker 2: setting up a kintunt trap because he was saying, well, 943 00:51:33,040 --> 00:51:35,840 Speaker 2: I made this verbal order, you should have turned the 944 00:51:35,880 --> 00:51:38,399 Speaker 2: planes allow, no planes should have taken off that day 945 00:51:38,480 --> 00:51:41,440 Speaker 2: at all, because I was holding this peering And this 946 00:51:41,520 --> 00:51:44,399 Speaker 2: is a temporary restraining order that he issued, actually two 947 00:51:44,440 --> 00:51:48,840 Speaker 2: of them on Saturday that last fourteen days and again 948 00:51:49,160 --> 00:51:53,280 Speaker 2: preventing the President and his team from executing his proclamation 949 00:51:53,960 --> 00:51:59,480 Speaker 2: over the weekends of the Alien Enemies Act. So excuse me, 950 00:51:59,600 --> 00:52:04,080 Speaker 2: this is this is very reckless, very destructive, and dangerous. 951 00:52:04,200 --> 00:52:07,560 Speaker 2: No one should be defending what these judges are doing. 952 00:52:08,040 --> 00:52:08,160 Speaker 5: Now. 953 00:52:08,200 --> 00:52:10,000 Speaker 2: Of course, all of these are going on a field. 954 00:52:10,560 --> 00:52:14,640 Speaker 2: There's oral arguments in the Venezuelan tariffs case on Monday afternoon. 955 00:52:14,680 --> 00:52:18,680 Speaker 2: I'll be covering that live. But I'll tell you as 956 00:52:18,680 --> 00:52:22,160 Speaker 2: bad as I knew these judges were, and how they 957 00:52:22,520 --> 00:52:25,680 Speaker 2: just repeatedly denied, to your point, due process for j Sixers, 958 00:52:25,719 --> 00:52:28,680 Speaker 2: refusing in every single case to move those trials out 959 00:52:28,719 --> 00:52:31,800 Speaker 2: of Washington, DC to now see them leap to the 960 00:52:31,960 --> 00:52:35,880 Speaker 2: rescue and allegedly protect the quote unquote due process rights 961 00:52:35,880 --> 00:52:39,959 Speaker 2: of illegal and suspected gang members from Venezuela that pose 962 00:52:40,080 --> 00:52:43,439 Speaker 2: a legitimate threat to this country, not that Jay Sixers did. 963 00:52:44,360 --> 00:52:46,400 Speaker 2: It's pretty head spinning hypocrisy. 964 00:52:47,200 --> 00:52:49,800 Speaker 1: Well, we're talking to Julie Kelly. Julie, you mentioned in 965 00:52:49,800 --> 00:52:52,160 Speaker 1: the jan Sixers, and when you first started coming on 966 00:52:52,280 --> 00:52:55,000 Speaker 1: with us four years ago, you were one of the 967 00:52:55,120 --> 00:52:58,080 Speaker 1: very few people out there actually shining a light on 968 00:52:58,239 --> 00:53:02,319 Speaker 1: how they were being treated. Given the Democrat obsession with 969 00:53:02,440 --> 00:53:05,560 Speaker 1: January sixth and the years that they spent on it, 970 00:53:06,120 --> 00:53:10,240 Speaker 1: are you somewhat surprised that Trump came in immediately pardoned 971 00:53:10,280 --> 00:53:14,279 Speaker 1: to every January sixer and the story just vanished. I mean, 972 00:53:14,360 --> 00:53:17,480 Speaker 1: isn't that kind of interesting? Because there were all these 973 00:53:17,600 --> 00:53:20,040 Speaker 1: arguments out there, Oh, if Trump pardons all the jan 974 00:53:20,160 --> 00:53:23,360 Speaker 1: six ers, this will be a constitutional and he did it, 975 00:53:23,880 --> 00:53:27,920 Speaker 1: and no one even mentions hardly January sixth anymore. Are 976 00:53:27,960 --> 00:53:30,240 Speaker 1: you surprised at how quickly it's kind of vanished? 977 00:53:31,000 --> 00:53:34,080 Speaker 2: Yes, I will say that I am. As you guys know, 978 00:53:34,160 --> 00:53:37,319 Speaker 2: I talked to the President a few days before inauguration day, 979 00:53:37,440 --> 00:53:40,240 Speaker 2: talked to him for at length about what had happened 980 00:53:40,280 --> 00:53:44,560 Speaker 2: to the j sixers, you know, the various part in proposals. 981 00:53:44,920 --> 00:53:48,000 Speaker 2: He expressed he was very committed to blanket pardon with 982 00:53:48,360 --> 00:53:51,720 Speaker 2: a few exceptions, and that's, of course exactly what he did. 983 00:53:52,200 --> 00:53:54,319 Speaker 2: And there was some noise about it for what a 984 00:53:54,360 --> 00:53:59,120 Speaker 2: week or ten days, and then has completely disappeared. And 985 00:53:59,160 --> 00:54:02,000 Speaker 2: the Democrats want to forget about January sixth. I think 986 00:54:02,320 --> 00:54:04,920 Speaker 2: with Jamie Raskin said a few weeks ago, oh can 987 00:54:04,960 --> 00:54:12,240 Speaker 2: we stop talking about January sixth already? It's really funny one, right, Yeah, 988 00:54:12,280 --> 00:54:18,120 Speaker 2: But yes, I am very surprised, but happily so. And 989 00:54:18,680 --> 00:54:20,640 Speaker 2: you know, it's great to see these people starting to 990 00:54:20,680 --> 00:54:23,520 Speaker 2: pick up the pieces of their lives. But you know, 991 00:54:23,560 --> 00:54:26,239 Speaker 2: I was reading one of the filings today in the 992 00:54:26,280 --> 00:54:33,600 Speaker 2: Venezuelan terrorism case, and these illegals have stables of lawyers 993 00:54:34,000 --> 00:54:37,880 Speaker 2: defending them and fighting the government on behalf of the 994 00:54:37,960 --> 00:54:41,759 Speaker 2: alleged rights of these illegals have. And it's really disturbing 995 00:54:41,960 --> 00:54:45,640 Speaker 2: that we saw none of that for American citizens wrongly 996 00:54:45,680 --> 00:54:49,759 Speaker 2: prosecuted for participating in the events of January sixth. I mean, 997 00:54:49,800 --> 00:54:53,160 Speaker 2: the co legal judicial system is so upside down. 998 00:54:54,239 --> 00:54:56,080 Speaker 1: Can I just jump in really quick early to say 999 00:54:56,120 --> 00:54:58,680 Speaker 1: that from my understanding from friends in the legal world, 1000 00:54:59,200 --> 00:55:01,640 Speaker 1: if you defend and like if you would defend Osama 1001 00:55:01,640 --> 00:55:05,359 Speaker 1: bin Laden you obviously that won't happen. But if someone 1002 00:55:05,360 --> 00:55:07,880 Speaker 1: could do that, that would be considered a feather in 1003 00:55:07,920 --> 00:55:10,360 Speaker 1: their legal cap going forward. They could say it's like 1004 00:55:10,440 --> 00:55:13,520 Speaker 1: John Adams defending the red Coats, like everyone deserves. But 1005 00:55:13,960 --> 00:55:16,520 Speaker 1: no one felt that way in a lot of the 1006 00:55:16,560 --> 00:55:18,919 Speaker 1: big law firms and in sort of the big law 1007 00:55:19,040 --> 00:55:23,840 Speaker 1: world about J six Americans, yeah, absolutely not. 1008 00:55:24,040 --> 00:55:27,799 Speaker 2: Most of them relied on public defenders. Some of those 1009 00:55:27,840 --> 00:55:31,520 Speaker 2: public defenders were very good, others were terrible, and I 1010 00:55:31,560 --> 00:55:35,359 Speaker 2: saw I saw both sides to that. But going back 1011 00:55:35,360 --> 00:55:37,719 Speaker 2: to Jeb Bosberg, I was in a sport room in 1012 00:55:37,760 --> 00:55:41,080 Speaker 2: December the week before Christmas, he put a woman who 1013 00:55:41,120 --> 00:55:44,120 Speaker 2: went inside the capital for nine minutes committed no violence 1014 00:55:44,200 --> 00:55:48,040 Speaker 2: charge with four misdemeanors. He put her on trial the 1015 00:55:48,120 --> 00:55:52,279 Speaker 2: week before Christmas, before DC jury juror from the city 1016 00:55:52,320 --> 00:55:55,200 Speaker 2: that had just voted ninety two percent for Kamala Harris. 1017 00:55:55,600 --> 00:55:59,719 Speaker 2: He completely ignored her pleas to postpone the trial and 1018 00:55:59,760 --> 00:56:03,640 Speaker 2: colle after the president was inaugurated, knowing that she would 1019 00:56:03,719 --> 00:56:06,440 Speaker 2: be getting a pardon because of course she only had misdemeanors, 1020 00:56:06,480 --> 00:56:11,000 Speaker 2: and he denied postponing that trial, put her on trial 1021 00:56:11,480 --> 00:56:14,680 Speaker 2: for three days. She was immediately convicted by the CDC jury. 1022 00:56:16,239 --> 00:56:21,080 Speaker 2: So that that's the mindset of these judges. No due process, 1023 00:56:21,080 --> 00:56:24,520 Speaker 2: no protection of constitutional rights for American citizens because they're 1024 00:56:24,520 --> 00:56:29,359 Speaker 2: Trump supporters. But he swooped in Saturday as soon as 1025 00:56:29,360 --> 00:56:33,760 Speaker 2: he possibly could, ordering claims to be turned around, carrying 1026 00:56:33,800 --> 00:56:40,640 Speaker 2: Venezuelan terrorists and now fighting the government for disclosure details 1027 00:56:40,680 --> 00:56:45,160 Speaker 2: of those deportations LIFs just I mean, how can you 1028 00:56:45,440 --> 00:56:47,480 Speaker 2: how can a government deal with someone like that you 1029 00:56:47,600 --> 00:56:49,320 Speaker 2: can't uh block. 1030 00:56:49,320 --> 00:56:51,759 Speaker 1: I'm glad you brought that up about the quality of 1031 00:56:51,800 --> 00:56:53,920 Speaker 1: legal representation, because I remember this was one of the 1032 00:56:53,920 --> 00:56:56,440 Speaker 1: first things we talked about with you, Julie, was you 1033 00:56:56,440 --> 00:56:58,920 Speaker 1: were raising money so that the lawyers could be better. 1034 00:56:59,520 --> 00:57:05,239 Speaker 1: John Adams defended the Boston massacre British soldiers in a 1035 00:57:05,360 --> 00:57:09,640 Speaker 1: pre revolutionary America. For people out there that have forgotten, 1036 00:57:09,800 --> 00:57:15,200 Speaker 1: because it used to be a basically foundational belief of 1037 00:57:15,800 --> 00:57:20,160 Speaker 1: lawyers that everybody deserved the best possible legal representation, even 1038 00:57:20,160 --> 00:57:23,560 Speaker 1: people who were accused of heinous crimes. And to bucks point, 1039 00:57:23,560 --> 00:57:26,280 Speaker 1: and I know you saw this, Julie, everybody wants to 1040 00:57:26,320 --> 00:57:28,520 Speaker 1: line up. I've got friends who worked on nine to 1041 00:57:28,560 --> 00:57:32,680 Speaker 1: eleven prosecutions. The people who were involved in flying planes 1042 00:57:32,720 --> 00:57:39,400 Speaker 1: into our buildings have elite representation. Look, I don't begrudge that, 1043 00:57:39,640 --> 00:57:42,560 Speaker 1: because I think that is the American system of justice. 1044 00:57:42,920 --> 00:57:46,080 Speaker 1: But Julie, just to kind of finish here, how many 1045 00:57:46,200 --> 00:57:50,200 Speaker 1: elite lawyers were willing to step forward and volunteer their 1046 00:57:50,280 --> 00:57:51,920 Speaker 1: time to rep the Jay sixers. 1047 00:57:52,560 --> 00:57:55,800 Speaker 2: There were no elite, white shoe law firms that stepped 1048 00:57:55,880 --> 00:57:58,600 Speaker 2: up to defend a single j sixer. 1049 00:57:58,920 --> 00:57:59,360 Speaker 1: Not one. 1050 00:58:00,000 --> 00:58:02,320 Speaker 2: Again, there were some very good lawyers, some that were 1051 00:58:02,360 --> 00:58:05,960 Speaker 2: retained privately, most that were court appointed or public defenders, 1052 00:58:06,800 --> 00:58:09,880 Speaker 2: but not as single. You see all of these law 1053 00:58:09,920 --> 00:58:14,160 Speaker 2: firms lined up not just defending these terrorists but fighting 1054 00:58:14,200 --> 00:58:17,040 Speaker 2: the Trump administration on anything. These are all big name 1055 00:58:17,120 --> 00:58:20,280 Speaker 2: law firms. Now none of them stepped up for American 1056 00:58:20,320 --> 00:58:25,200 Speaker 2: citizens because they considered them terrorists. You know, the Venezuelan 1057 00:58:25,240 --> 00:58:28,920 Speaker 2: gang members, the tatries all over the place, who have 1058 00:58:29,040 --> 00:58:32,920 Speaker 2: suspected ties to TDA. They're not terrorists, they're victims. But 1059 00:58:33,400 --> 00:58:36,600 Speaker 2: you walk inside the Capitol for nine minutes, commit no violence, 1060 00:58:37,000 --> 00:58:39,160 Speaker 2: and you have the chief Judge of the DC District 1061 00:58:39,200 --> 00:58:41,560 Speaker 2: Court putting you on trial in the most democratic committy 1062 00:58:41,840 --> 00:58:46,880 Speaker 2: in the country for a quick conviction. No, none of them. 1063 00:58:46,880 --> 00:58:48,800 Speaker 2: That's so shame on these law firms. And this is 1064 00:58:48,840 --> 00:58:51,680 Speaker 2: why I'm so glad to see the President doing what 1065 00:58:51,800 --> 00:58:55,400 Speaker 2: he can to vilify these law firms, strip them up 1066 00:58:55,440 --> 00:58:59,720 Speaker 2: security clearances, access to documents and buildings, and doing yet 1067 00:59:00,000 --> 00:59:02,800 Speaker 2: image to their business, because that's exactly what they deserve. 1068 00:59:03,640 --> 00:59:06,040 Speaker 1: Julie, keep up the good work. Look forward to talking 1069 00:59:06,040 --> 00:59:08,360 Speaker 1: to you again, and thank you for the last four years. 1070 00:59:08,360 --> 00:59:10,400 Speaker 1: How awesome you've been talking to us and keeping us 1071 00:59:10,440 --> 00:59:11,320 Speaker 1: updated on all this. 1072 00:59:11,880 --> 00:59:13,840 Speaker 2: See you guys are awesome for always having me on. 1073 00:59:13,920 --> 00:59:15,640 Speaker 2: Thank you so much. Talk to you soon. 1074 00:59:16,400 --> 00:59:20,200 Speaker 1: Good stuff. Look the Clay and Buck March madness brackets. 1075 00:59:20,240 --> 00:59:25,640 Speaker 1: They're posted steak bed on the line and Good Ranchers. Man, 1076 00:59:25,760 --> 00:59:28,240 Speaker 1: it's a good thing they have good steaks, because Buck 1077 00:59:28,400 --> 00:59:30,600 Speaker 1: is going to have to buy me a great steak 1078 00:59:30,640 --> 00:59:34,200 Speaker 1: when his bracket crumbles and I surge into a victory. 1079 00:59:34,840 --> 00:59:38,680 Speaker 1: But we had last week in the Travis household, or 1080 00:59:38,720 --> 00:59:41,080 Speaker 1: the week before last, we were out of town on 1081 00:59:41,120 --> 00:59:43,800 Speaker 1: spring break last week, week before last, we had amazing steaks. 1082 00:59:43,920 --> 00:59:47,280 Speaker 1: My wife Laura cooked them straight from Good Ranchers delivered 1083 00:59:47,280 --> 00:59:51,440 Speaker 1: to the door. 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Take care of 1096 01:00:34,200 --> 01:00:38,240 Speaker 1: your family at goodranchers dot com My name Clay for 1097 01:00:38,360 --> 01:00:41,880 Speaker 1: twenty five dollars off delivered straight to your home again 1098 01:00:42,040 --> 01:00:47,120 Speaker 1: Good ranchers dot com cla why to save twenty five bucks. 1099 01:00:47,440 --> 01:00:50,000 Speaker 5: Want to be in the know when you're on the go? 1100 01:00:50,440 --> 01:00:54,440 Speaker 5: The Team forty seven podcasts Trump highlights from the week 1101 01:00:54,720 --> 01:00:57,800 Speaker 5: Sundays at noon Eastern in the clan Bug podcast speed 1102 01:00:57,920 --> 01:01:01,040 Speaker 5: Find it on the iHeartRadio app or wherever you get 1103 01:01:01,080 --> 01:01:01,919 Speaker 5: your podcasts.