1 00:00:00,280 --> 00:00:03,720 Speaker 1: Welcome it, everybody to the Wednesday edition of the Clay 2 00:00:03,720 --> 00:00:08,480 Speaker 1: Travis and Buck Sexton Show. Much to discuss with all 3 00:00:08,480 --> 00:00:10,160 Speaker 1: of you across this great land of ours. 4 00:00:10,160 --> 00:00:11,120 Speaker 2: Thanks for being here. 5 00:00:12,200 --> 00:00:15,160 Speaker 1: It is steamy down here in South Florida, I can 6 00:00:15,200 --> 00:00:17,760 Speaker 1: tell you that much. I'm hearing other places too, feel 7 00:00:17,760 --> 00:00:20,160 Speaker 1: in the heat. Feeling the heat good time. 8 00:00:20,239 --> 00:00:22,520 Speaker 3: It's hot in the summer. Every year they seem to 9 00:00:22,680 --> 00:00:26,080 Speaker 3: decide that, oh, my goodness, this is the impact of 10 00:00:26,280 --> 00:00:29,360 Speaker 3: global warming and everything else. But I can impress upon 11 00:00:29,400 --> 00:00:31,040 Speaker 3: you that it has been hot for a long time. 12 00:00:31,520 --> 00:00:33,599 Speaker 1: This is the kind of a student analysis we bring 13 00:00:33,640 --> 00:00:36,839 Speaker 1: to you on Clay and Buck. Reminder, it gets hot 14 00:00:36,960 --> 00:00:39,720 Speaker 1: in the middle of summer in much of this country 15 00:00:39,760 --> 00:00:43,159 Speaker 1: of ours. So yes, indeed, true story. And if you 16 00:00:43,320 --> 00:00:45,199 Speaker 1: have the chance, this is a great time to get 17 00:00:45,240 --> 00:00:49,720 Speaker 1: into some shade, preferably despite what the Europeans think, indoors 18 00:00:49,720 --> 00:00:52,479 Speaker 1: with air conditioning, because air conditioning is one of the 19 00:00:52,560 --> 00:00:55,520 Speaker 1: greatest inventions of the last one hundred years or so. 20 00:00:56,160 --> 00:00:58,360 Speaker 1: And keep back, relax, listen to some Clay and Buck. 21 00:00:58,520 --> 00:01:01,560 Speaker 1: That is the way to beat the heat, my friends, 22 00:01:01,680 --> 00:01:05,440 Speaker 1: best way to do it. So we've got some very 23 00:01:05,440 --> 00:01:08,200 Speaker 1: good news. We're to dive into on the economy, and 24 00:01:08,240 --> 00:01:12,840 Speaker 1: then we have some distressing but not surprising news about 25 00:01:12,959 --> 00:01:17,240 Speaker 1: the flagship propaganda newspaper of the Democrats of the New 26 00:01:17,319 --> 00:01:19,759 Speaker 1: York Times, that we will dive into, as well as 27 00:01:19,760 --> 00:01:24,679 Speaker 1: some follow up to stories from yesterday. Donald Trump also 28 00:01:24,840 --> 00:01:30,720 Speaker 1: a whole bunch of commentary on Gaza on the Wall 29 00:01:30,760 --> 00:01:34,639 Speaker 1: Street Journal suits that he now has the deep state 30 00:01:34,800 --> 00:01:38,160 Speaker 1: and more. So, we've got a lot to dive in. 31 00:01:38,400 --> 00:01:42,880 Speaker 1: Let's start though, with this because I think it is 32 00:01:43,440 --> 00:01:46,920 Speaker 1: one of those times where even the people who clay 33 00:01:47,319 --> 00:01:50,000 Speaker 1: pretty much spend all day thinking about how to bash Trump, 34 00:01:50,080 --> 00:01:52,520 Speaker 1: undermine him, say he's terrible, doesn't know what he's doing, 35 00:01:53,200 --> 00:01:55,000 Speaker 1: they're having to step back and say, you know what, 36 00:01:55,600 --> 00:01:56,200 Speaker 1: it's pretty good. 37 00:01:56,280 --> 00:01:57,520 Speaker 2: What's going on with this economy. 38 00:01:57,600 --> 00:02:01,880 Speaker 1: Actually, I wasn't right when those people weren't right when 39 00:02:01,880 --> 00:02:04,600 Speaker 1: they said tariffs, we're gonna ruin everything. Let's start with 40 00:02:04,640 --> 00:02:10,320 Speaker 1: this Q two quarter two growth rate, CNBC's Rick Santelli 41 00:02:10,919 --> 00:02:12,359 Speaker 1: laying it out for you, play one. 42 00:02:12,600 --> 00:02:15,519 Speaker 4: We are expecting a number round two and a half percent, 43 00:02:15,880 --> 00:02:20,560 Speaker 4: and they're out of three percent, up three percent better 44 00:02:20,600 --> 00:02:23,560 Speaker 4: than expected. That would be the highest level since the 45 00:02:23,600 --> 00:02:26,040 Speaker 4: third quarter of twenty four, when it was up three 46 00:02:26,120 --> 00:02:30,720 Speaker 4: point one percent on the consumption side, up one point four, 47 00:02:30,880 --> 00:02:33,639 Speaker 4: very close to estimates. Up one point four would be 48 00:02:33,720 --> 00:02:36,360 Speaker 4: the best since the last quarter of twenty four. 49 00:02:38,000 --> 00:02:42,320 Speaker 1: Clay, it's a surprise to people who thought Trump was 50 00:02:42,360 --> 00:02:44,639 Speaker 1: going to tank the economy. But I'm just going to say, 51 00:02:45,040 --> 00:02:48,120 Speaker 1: we're gonna I think we're gonna have to ride along 52 00:02:48,280 --> 00:02:51,040 Speaker 1: on Trump's victory lap here for a moment. We told 53 00:02:51,080 --> 00:02:55,720 Speaker 1: everybody he's earned the right to the trade negotiations the 54 00:02:55,720 --> 00:02:58,160 Speaker 1: way that he wants to. He has earned a space 55 00:02:58,560 --> 00:03:01,280 Speaker 1: for everyone to take a beat. You said, don't sell. 56 00:03:01,320 --> 00:03:03,240 Speaker 1: By the way, that was very good advice. We're not 57 00:03:03,280 --> 00:03:05,919 Speaker 1: a financial show, but better advice here than you get 58 00:03:05,919 --> 00:03:09,280 Speaker 1: on a lot of other financial shows. Don't sell. Trump 59 00:03:09,320 --> 00:03:13,560 Speaker 1: knows what he's doing. Three percent growth, and just real quickly, 60 00:03:13,600 --> 00:03:16,200 Speaker 1: before we die, here's the NBC's Joe Kernin and Rick 61 00:03:16,240 --> 00:03:19,120 Speaker 1: Santelli just having a laugh at all the Trump haters 62 00:03:19,160 --> 00:03:21,519 Speaker 1: on the economy because that is richuly deserved. 63 00:03:21,600 --> 00:03:22,480 Speaker 2: Right now, Play two. 64 00:03:22,600 --> 00:03:25,239 Speaker 5: The left and people that don't like the president and 65 00:03:25,639 --> 00:03:28,680 Speaker 5: don't want things to work, and you know, like Center 66 00:03:28,760 --> 00:03:30,320 Speaker 5: Elizabeth Wore will come on and say. 67 00:03:30,160 --> 00:03:31,400 Speaker 2: Inflation's out of controling. 68 00:03:31,400 --> 00:03:35,720 Speaker 5: The economy is getting killed by what's happening by these tariffs. 69 00:03:35,920 --> 00:03:39,040 Speaker 5: This three percent with the market at new highs, and 70 00:03:39,760 --> 00:03:42,480 Speaker 5: really we haven't seen inflation, you know, go up back 71 00:03:42,520 --> 00:03:44,280 Speaker 5: to three for maybe it will this week, maybe we'll 72 00:03:44,280 --> 00:03:46,680 Speaker 5: see it. But none of these horrible things have happened. 73 00:03:46,680 --> 00:03:49,000 Speaker 5: But they still talk like it's happening. 74 00:03:49,280 --> 00:03:49,920 Speaker 2: It's amazing. 75 00:03:50,040 --> 00:03:52,600 Speaker 4: The Democrats, of course, as you pointed out, really don't 76 00:03:52,640 --> 00:03:55,800 Speaker 4: want to see the current administration have some success. But 77 00:03:55,840 --> 00:03:59,000 Speaker 4: there's no doubt that this is some success. We're seeing 78 00:03:59,040 --> 00:04:03,680 Speaker 4: more war's power, we're seeing better equities, inflation, Inflation really 79 00:04:03,720 --> 00:04:06,000 Speaker 4: hasn't changed much in the last. 80 00:04:05,760 --> 00:04:06,160 Speaker 2: Year or so. 81 00:04:08,960 --> 00:04:12,520 Speaker 3: I think what you should start to contemplate, and I 82 00:04:12,560 --> 00:04:16,279 Speaker 3: tweeted this out after the numbers came out, is if 83 00:04:16,320 --> 00:04:21,400 Speaker 3: the so called experts are consistently proven wrong time after time, 84 00:04:22,080 --> 00:04:25,960 Speaker 3: what do they actually know? And I know we've talked 85 00:04:26,000 --> 00:04:30,680 Speaker 3: about this before, but there's a great write up and 86 00:04:30,720 --> 00:04:34,839 Speaker 3: I wish I could remember the book that dives into 87 00:04:35,080 --> 00:04:41,760 Speaker 3: expertise and experts are almost always wrong because what. 88 00:04:41,640 --> 00:04:44,520 Speaker 2: They find is there is a huge. 89 00:04:45,880 --> 00:04:50,240 Speaker 3: Sort of cluster effect on experts because especially in the 90 00:04:50,279 --> 00:04:54,120 Speaker 3: modern era, people are afraid of being wrong, and so 91 00:04:54,279 --> 00:04:58,520 Speaker 3: a consensus settles in and nobody really is outside of 92 00:04:58,560 --> 00:05:02,360 Speaker 3: the consensus, because if you're wrong and outside of the consensus, 93 00:05:02,720 --> 00:05:07,359 Speaker 3: the fear is of being ostracized and everything else. And 94 00:05:07,440 --> 00:05:09,560 Speaker 3: the people who end up being the most right are 95 00:05:09,640 --> 00:05:12,440 Speaker 3: actually I think it was a really deep dive on hedgehogs. 96 00:05:12,720 --> 00:05:16,799 Speaker 3: That's people who don't go super deep on necessarily everything, 97 00:05:16,839 --> 00:05:20,200 Speaker 3: but have a wide variety of perspectives. They tend to 98 00:05:20,240 --> 00:05:23,359 Speaker 3: be better at forecasts than people who are so called 99 00:05:23,480 --> 00:05:27,200 Speaker 3: experts in one field. And what we're seeing with economics 100 00:05:27,279 --> 00:05:31,000 Speaker 3: is we were told if there are tariffs put in place, 101 00:05:31,400 --> 00:05:35,640 Speaker 3: we're going to have a great depression style economic reality. 102 00:05:36,040 --> 00:05:40,640 Speaker 3: And you saw everybody flood the market collapse in April, 103 00:05:41,000 --> 00:05:44,039 Speaker 3: the likes of which, frankly, we hadn't really seen since COVID, 104 00:05:44,560 --> 00:05:47,320 Speaker 3: and we said on this show, as you pointed out, 105 00:05:47,400 --> 00:05:51,000 Speaker 3: hey just stay calm. If you happen to have added resources, 106 00:05:51,080 --> 00:05:53,720 Speaker 3: now is a good time to buy. Stocks are up 107 00:05:53,760 --> 00:05:57,320 Speaker 3: nearly thirty percent just since April. If you bought the dip, 108 00:05:57,440 --> 00:06:00,880 Speaker 3: if you just stayed in, you're do and fine. If 109 00:06:00,960 --> 00:06:02,920 Speaker 3: you just didn't pay attention to day to day, and 110 00:06:02,960 --> 00:06:06,720 Speaker 3: so I think there's this obsession with believing that experts 111 00:06:06,720 --> 00:06:09,320 Speaker 3: are going to be right, and then almost every time 112 00:06:09,360 --> 00:06:11,559 Speaker 3: I look. They were wrong on inflation, they were wrong 113 00:06:11,640 --> 00:06:14,960 Speaker 3: on tariffs, They've been wrong economically on everything. 114 00:06:18,200 --> 00:06:21,000 Speaker 1: They were wrong on COVID, across the board. 115 00:06:21,360 --> 00:06:23,200 Speaker 2: Yeah, you know, with the very few exceptions. 116 00:06:23,240 --> 00:06:26,480 Speaker 1: I saw our friend doctor McCarry on Fox this morning 117 00:06:27,360 --> 00:06:29,080 Speaker 1: just talking about all the amazing things. That's why we 118 00:06:29,120 --> 00:06:32,200 Speaker 1: had him on recently to talk about the FDA and 119 00:06:32,240 --> 00:06:36,279 Speaker 1: how streamlining that could mean cures for people a lot faster, 120 00:06:36,520 --> 00:06:39,800 Speaker 1: could save could save lives and also add quality of life. Right, 121 00:06:39,839 --> 00:06:43,800 Speaker 1: there's there's cures, there's also effective treatment which can be 122 00:06:43,839 --> 00:06:46,560 Speaker 1: a game changer for people with a whole range of 123 00:06:46,600 --> 00:06:50,640 Speaker 1: really debilitating diseases. And he's an expert who said the 124 00:06:50,720 --> 00:06:55,719 Speaker 1: right things and Trump during COVID, and Trump has shown 125 00:06:55,839 --> 00:06:58,840 Speaker 1: him what happens when you're right, which is you should 126 00:06:58,880 --> 00:07:01,479 Speaker 1: be elevated. What you see the expert class in general, though, 127 00:07:01,480 --> 00:07:04,520 Speaker 1: Clay is they all fall prey to consensus thinking, the 128 00:07:04,560 --> 00:07:07,680 Speaker 1: echo chamber effect. This was even a problem back when 129 00:07:07,680 --> 00:07:10,560 Speaker 1: I was in the CIA as an analyst there. You 130 00:07:10,680 --> 00:07:13,720 Speaker 1: mentioned the hedgehogs, people that are that have depth on 131 00:07:13,800 --> 00:07:15,960 Speaker 1: things versus a little bit on a lot of different things. 132 00:07:16,520 --> 00:07:19,840 Speaker 1: People who had been, in my experience, the people who 133 00:07:19,920 --> 00:07:22,600 Speaker 1: had been covering an issue for a very long time 134 00:07:23,120 --> 00:07:25,320 Speaker 1: were the worst at predicting what the next thing was 135 00:07:25,360 --> 00:07:28,040 Speaker 1: that was going to happen. The people who had a 136 00:07:28,160 --> 00:07:32,000 Speaker 1: very good skill set to understand what matters right now, 137 00:07:32,160 --> 00:07:36,840 Speaker 1: what's likely to happen next, were far better at predictive analysis. 138 00:07:37,600 --> 00:07:40,040 Speaker 1: Because once you've been doing something for a long time, 139 00:07:40,520 --> 00:07:43,240 Speaker 1: you tend to think that whatever everybody else thinks doing 140 00:07:43,280 --> 00:07:46,640 Speaker 1: that same thing is the answer, right, that that's the 141 00:07:46,640 --> 00:07:48,880 Speaker 1: way it's going to be. Certainly that is the case 142 00:07:48,960 --> 00:07:50,440 Speaker 1: the case in the economy. And why do we all 143 00:07:50,480 --> 00:07:53,200 Speaker 1: care about this, Well, because it affects the price of 144 00:07:53,240 --> 00:07:55,119 Speaker 1: everything that you were buying, the gas you were putting 145 00:07:55,120 --> 00:07:58,120 Speaker 1: in your car, your ability to pay your mortgage, all 146 00:07:58,160 --> 00:08:00,920 Speaker 1: of this the piece of this that is missing right now. 147 00:08:01,240 --> 00:08:03,000 Speaker 1: And this is what's remarkable, and I think this is 148 00:08:03,000 --> 00:08:07,200 Speaker 1: why Trump's frustration has boiled over on the FED issue. 149 00:08:07,200 --> 00:08:09,360 Speaker 1: And there were some very funny memes from when he 150 00:08:09,440 --> 00:08:10,600 Speaker 1: went and visited the FED. 151 00:08:11,560 --> 00:08:14,720 Speaker 2: Yes, redo of the building that they. 152 00:08:14,600 --> 00:08:17,880 Speaker 1: Were, but the fact that rates haven't even dropped yet. 153 00:08:18,520 --> 00:08:20,400 Speaker 1: That would be the kind of rocket fuel you'd add 154 00:08:20,400 --> 00:08:22,760 Speaker 1: to the economy if things were stalled out. 155 00:08:22,680 --> 00:08:23,160 Speaker 2: A little bit. 156 00:08:23,400 --> 00:08:27,120 Speaker 1: This economy is already humming, and they've. 157 00:08:27,000 --> 00:08:29,720 Speaker 2: Kept the rates artificially high. 158 00:08:29,880 --> 00:08:32,640 Speaker 3: Here's my concern now, buck, and I haven't heard anybody 159 00:08:32,679 --> 00:08:35,199 Speaker 3: say this yet. I'm wondering if the Fed's going to 160 00:08:35,240 --> 00:08:38,440 Speaker 3: say the economy's growing too fast and we can't cut 161 00:08:38,520 --> 00:08:43,000 Speaker 3: rates now because we can't add the accelerant. In other words, 162 00:08:43,040 --> 00:08:46,400 Speaker 3: they're going to go from hey, I just that's my 163 00:08:46,600 --> 00:08:50,640 Speaker 3: concern now that we've hit three percent growth, and look, 164 00:08:50,679 --> 00:08:53,439 Speaker 3: we need to get the economy really roaring. We need 165 00:08:53,480 --> 00:08:56,520 Speaker 3: to get four percent growth, three and a half percent growth. 166 00:08:56,640 --> 00:08:59,000 Speaker 3: That would be transformative. It would actually give us a 167 00:08:59,080 --> 00:09:01,720 Speaker 3: chance if you start to run the math of really 168 00:09:02,080 --> 00:09:05,280 Speaker 3: kind of knocking out some of these major budget deficits. 169 00:09:05,440 --> 00:09:07,520 Speaker 2: Growth cures everything. Right. 170 00:09:07,600 --> 00:09:10,520 Speaker 3: If you've ever worked in a business, I remember I 171 00:09:10,520 --> 00:09:13,000 Speaker 3: had a buddy and he's I said, how'd you do? 172 00:09:13,440 --> 00:09:15,440 Speaker 3: And he ended up selling his company for over one 173 00:09:15,480 --> 00:09:18,840 Speaker 3: hundred million dollars. This is about fifteen years ago. I 174 00:09:18,840 --> 00:09:21,560 Speaker 3: said how'd you do? He said, Man, I screwed up everything. 175 00:09:22,040 --> 00:09:24,880 Speaker 3: I so you know that's interesting. I went back and 176 00:09:24,960 --> 00:09:26,320 Speaker 3: I looked at it, and we had to make a 177 00:09:26,360 --> 00:09:29,960 Speaker 3: decision so rapidly. But he said the company was growing 178 00:09:30,040 --> 00:09:33,160 Speaker 3: so fast that I didn't have to be perfect. I 179 00:09:33,360 --> 00:09:35,920 Speaker 3: just had to steer in the right direction. And for 180 00:09:36,000 --> 00:09:37,800 Speaker 3: those of you out there that have ever been at 181 00:09:37,800 --> 00:09:41,319 Speaker 3: a company that's growing rapidly, you're not all going to 182 00:09:41,360 --> 00:09:44,320 Speaker 3: make the right decisions because you're having to the analogy 183 00:09:44,320 --> 00:09:46,240 Speaker 3: I've used before, it's like trying to change a tire 184 00:09:46,280 --> 00:09:48,920 Speaker 3: while you're driving a car. It's going to be really 185 00:09:49,000 --> 00:09:52,920 Speaker 3: sometimes messy. Right, But if you get that growth rate going, 186 00:09:53,400 --> 00:09:57,080 Speaker 3: if we can start really humming economically, we don't have 187 00:09:57,160 --> 00:09:59,760 Speaker 3: to be perfect on everything. Four percent growth in the 188 00:09:59,840 --> 00:10:02,760 Speaker 3: NAW national economy would cure a lot of the ills 189 00:10:03,000 --> 00:10:03,760 Speaker 3: that are out there. 190 00:10:04,400 --> 00:10:04,760 Speaker 2: Well. 191 00:10:04,880 --> 00:10:08,319 Speaker 1: You also have, I think, with Trump, in many ways 192 00:10:08,720 --> 00:10:13,000 Speaker 1: the epitome of the guy who does versus the guy 193 00:10:13,240 --> 00:10:19,360 Speaker 1: who conceptualizes right, a guy who has negotiated deals, and look, 194 00:10:19,400 --> 00:10:21,679 Speaker 1: Trump's has negotiated deals that haven't gone his way when 195 00:10:21,679 --> 00:10:24,720 Speaker 1: he was in business. Obviously, there have been successes and failures, 196 00:10:24,720 --> 00:10:28,360 Speaker 1: but to your point, every great success in business, every 197 00:10:28,360 --> 00:10:30,280 Speaker 1: person who has been a great success in business has 198 00:10:30,280 --> 00:10:32,920 Speaker 1: had many failures along the way, because that is how 199 00:10:32,960 --> 00:10:36,839 Speaker 1: you learn. That is a form of expertise that should 200 00:10:36,840 --> 00:10:40,040 Speaker 1: be far more valued when you're thinking about who to 201 00:10:40,080 --> 00:10:42,880 Speaker 1: put in charge of big decisions for the country instead 202 00:10:42,880 --> 00:10:46,960 Speaker 1: of I have some advanced degree from some economics program. 203 00:10:47,000 --> 00:10:50,840 Speaker 1: Wasn't it to President Bartlett from the fantasyland of the 204 00:10:50,880 --> 00:10:53,439 Speaker 1: West Wing. Wasn't here like a PhD from Harvard or 205 00:10:53,480 --> 00:10:55,839 Speaker 1: something in economics? And that's what all the Libs think 206 00:10:55,840 --> 00:10:59,080 Speaker 1: would solve all of our problems. Most of the PhDs 207 00:10:59,120 --> 00:11:01,520 Speaker 1: in economics from most from all of the Ivy League 208 00:11:01,520 --> 00:11:05,120 Speaker 1: schools in this country would stink at managing this economy. 209 00:11:05,120 --> 00:11:08,319 Speaker 1: Compared to Trump, it wouldn't even be close well, And 210 00:11:08,640 --> 00:11:10,800 Speaker 1: that's why I think there. Look, I love it. 211 00:11:10,920 --> 00:11:14,200 Speaker 3: I mean, I'm a history nerd, but history professors are 212 00:11:14,240 --> 00:11:17,640 Speaker 3: good at telling you why something happened one hundred years 213 00:11:17,679 --> 00:11:20,720 Speaker 3: after it happened. We've seen some of these historians that 214 00:11:20,720 --> 00:11:23,800 Speaker 3: go on. Remember Michael Beschlow said, if Trump wins, they're 215 00:11:23,840 --> 00:11:25,800 Speaker 3: just going to line you up and shoot you, you know, 216 00:11:25,880 --> 00:11:28,320 Speaker 3: and you're like, what are you talking about? 217 00:11:28,320 --> 00:11:29,040 Speaker 2: I don't even know if. 218 00:11:29,040 --> 00:11:31,440 Speaker 1: We're still He actually said that, Yes, that's not even 219 00:11:31,520 --> 00:11:32,440 Speaker 1: he actually said that. 220 00:11:32,520 --> 00:11:34,960 Speaker 3: He actually said that, and he is I think a 221 00:11:35,040 --> 00:11:37,960 Speaker 3: good historian at looking at things that are one hundred 222 00:11:38,040 --> 00:11:42,199 Speaker 3: years old. Economists are very good at telling you why 223 00:11:42,240 --> 00:11:46,440 Speaker 3: something happened after it's already happened. They are very bad 224 00:11:46,640 --> 00:11:50,120 Speaker 3: as a group at predicting for you where we are headed. 225 00:11:50,520 --> 00:11:55,200 Speaker 3: And I think it's just worth contemplating. Challenging conventional wisdom 226 00:11:55,679 --> 00:11:58,720 Speaker 3: is usually how you win. I don't know how many 227 00:11:58,760 --> 00:12:00,600 Speaker 3: people out there really study things, but if you do 228 00:12:00,760 --> 00:12:03,800 Speaker 3: the same thing that everybody else does, it's going to 229 00:12:03,840 --> 00:12:06,400 Speaker 3: be very difficult for you to get ahead. You sometimes 230 00:12:06,480 --> 00:12:07,400 Speaker 3: have to take risk. 231 00:12:07,800 --> 00:12:08,199 Speaker 2: Trump. 232 00:12:08,559 --> 00:12:12,040 Speaker 3: You can criticize him on a lot. The guy understands negotiations, 233 00:12:12,080 --> 00:12:16,080 Speaker 3: He understands leverage. He certainly understands interest rates, which are 234 00:12:16,120 --> 00:12:20,960 Speaker 3: the foundation of any real estate investment deal basically that 235 00:12:21,120 --> 00:12:25,400 Speaker 3: is done anywhere. And I hope that they're going to 236 00:12:25,440 --> 00:12:29,200 Speaker 3: start to reduce rates because they are too high. And look, 237 00:12:29,240 --> 00:12:31,280 Speaker 3: here is the number one issue in the economy today. 238 00:12:31,679 --> 00:12:35,160 Speaker 3: Number one issue. Housing is out of sorts because we 239 00:12:35,240 --> 00:12:37,839 Speaker 3: went from two and a half percent mortgage to over 240 00:12:37,920 --> 00:12:40,960 Speaker 3: seven percent in record time. And if you were lucky 241 00:12:41,040 --> 00:12:42,760 Speaker 3: enough to get a two and a half. You're frozen 242 00:12:42,800 --> 00:12:45,400 Speaker 3: in place there and if you were unfortunate enough to 243 00:12:45,400 --> 00:12:48,280 Speaker 3: get a seven, you haven't been able to refy yet 244 00:12:48,400 --> 00:12:50,280 Speaker 3: and unlock the entire housing market. 245 00:12:50,480 --> 00:12:52,680 Speaker 1: That is true, but I think you also have to 246 00:12:52,720 --> 00:12:56,319 Speaker 1: pile on top of that, Clay, ten million people came 247 00:12:56,360 --> 00:13:00,560 Speaker 1: into the country illegally in four years. Ten certainly help 248 00:13:00,640 --> 00:13:03,760 Speaker 1: the cost of living for anyone in any city. There 249 00:13:03,800 --> 00:13:07,280 Speaker 1: are people run running all kinds of scams where they 250 00:13:07,320 --> 00:13:09,680 Speaker 1: have illegals that are, you know, in a home that's 251 00:13:09,720 --> 00:13:12,480 Speaker 1: meant for four people max. They got thirty illegals living. 252 00:13:12,480 --> 00:13:14,320 Speaker 1: They're all paying them, you know, two hundred and fifty 253 00:13:14,320 --> 00:13:16,560 Speaker 1: bucks a month or something. This is all over the 254 00:13:16,559 --> 00:13:19,199 Speaker 1: country as we and this is another part of why 255 00:13:19,240 --> 00:13:23,520 Speaker 1: the immigration enforcement that Trump is undergoing right now is 256 00:13:23,559 --> 00:13:25,280 Speaker 1: one of the best things that could happen. 257 00:13:25,400 --> 00:13:27,240 Speaker 2: For people who work for a living. 258 00:13:27,559 --> 00:13:29,840 Speaker 1: It will help their wages, it'll help the cost of housing. 259 00:13:29,880 --> 00:13:32,199 Speaker 1: What you're saying is obviously also true, which is the 260 00:13:32,840 --> 00:13:35,920 Speaker 1: rate issue that should start to be ameliorated. 261 00:13:36,520 --> 00:13:38,079 Speaker 2: That's the word of the day. There you go. It's 262 00:13:38,080 --> 00:13:40,560 Speaker 2: a nice word, right, thank you well, that one. 263 00:13:40,440 --> 00:13:44,120 Speaker 1: Out that could be certainly done in the months ahead, 264 00:13:44,120 --> 00:13:46,800 Speaker 1: and I hope it will be. I have a plan 265 00:13:46,840 --> 00:13:49,320 Speaker 1: for this weekend. We'll tell you all about I get 266 00:13:49,320 --> 00:13:51,720 Speaker 1: excited about this. You know, this maybe tells you about 267 00:13:52,000 --> 00:13:53,800 Speaker 1: what a wild and crazy guy I am. But you know, 268 00:13:53,840 --> 00:13:55,079 Speaker 1: I got a wife, I got a baby, I got 269 00:13:55,080 --> 00:13:56,440 Speaker 1: a puppy. I got a lot of things going on. 270 00:13:56,920 --> 00:13:59,840 Speaker 1: I am going to be defrosting some bone in ribbis 271 00:14:00,360 --> 00:14:01,280 Speaker 1: from Good Ranchers. 272 00:14:01,679 --> 00:14:01,880 Speaker 6: Now. 273 00:14:01,920 --> 00:14:05,720 Speaker 1: The ribbi is a particularly decadent cut of meat. It's fantastic. 274 00:14:05,840 --> 00:14:08,680 Speaker 1: And this for me on steak night, courtesy of Good Ranchers, 275 00:14:09,240 --> 00:14:10,880 Speaker 1: is something I get really excited about. 276 00:14:11,000 --> 00:14:11,559 Speaker 2: I've got my. 277 00:14:11,559 --> 00:14:14,800 Speaker 1: Cast iron seared ready to go. I mean, it is 278 00:14:14,840 --> 00:14:17,920 Speaker 1: so hot when I do that. Sere oh Man, Good Ranchers. 279 00:14:18,000 --> 00:14:22,080 Speaker 1: This is absolutely the best meat you're gonna get delivered anywhere. 280 00:14:22,240 --> 00:14:26,880 Speaker 1: But they've also got salmon, chicken, steak burgers. It is fantastic. 281 00:14:27,320 --> 00:14:29,840 Speaker 1: We love steak over here. So does Clay. In fact, Clay, 282 00:14:29,840 --> 00:14:31,200 Speaker 1: we're gonna have to bring back a steak bet at 283 00:14:31,240 --> 00:14:33,120 Speaker 1: some point because I need a chance at the title here, 284 00:14:33,160 --> 00:14:35,520 Speaker 1: all right, you need it just brought up recently, didn't 285 00:14:35,520 --> 00:14:37,160 Speaker 1: you have a steak dinner with Clay that got millions 286 00:14:37,200 --> 00:14:38,640 Speaker 1: of views. I said, yeah, we got to do another 287 00:14:38,640 --> 00:14:41,440 Speaker 1: one of those Good Ranchers, my friends. That is the 288 00:14:41,480 --> 00:14:43,760 Speaker 1: steak of choice. You gotta go check this out. Subscribe 289 00:14:43,760 --> 00:14:46,320 Speaker 1: to any Good Ranchers box, get your pick a free 290 00:14:46,360 --> 00:14:49,160 Speaker 1: meat for life that's wag you burgers, hot dogs, bacon 291 00:14:49,240 --> 00:14:51,160 Speaker 1: or chicken wings in every box for the lifetime for 292 00:14:51,200 --> 00:14:53,800 Speaker 1: a subscription. I get a box every month, and Carrie 293 00:14:53,800 --> 00:14:55,600 Speaker 1: can tell you I get excited. I go, Yes, the 294 00:14:55,600 --> 00:14:57,360 Speaker 1: Good Ranchers box is here. I rip it open, I 295 00:14:57,400 --> 00:14:59,480 Speaker 1: look at the different cuts of meat I have. Get 296 00:14:59,480 --> 00:15:01,520 Speaker 1: an extra four forty dollars off your first box when 297 00:15:01,520 --> 00:15:03,200 Speaker 1: you use my name Buck as your promo code at 298 00:15:03,240 --> 00:15:05,080 Speaker 1: checkout Good Ranchers dot Com. 299 00:15:05,200 --> 00:15:06,240 Speaker 2: Use promo code Buck. 300 00:15:06,280 --> 00:15:08,920 Speaker 1: Get your free meat for life plus forty dollars off 301 00:15:08,960 --> 00:15:11,200 Speaker 1: Good Ranchers dot Com promo code Buck. 302 00:15:12,080 --> 00:15:16,840 Speaker 7: Clay Travis and Buck Sexton mic drops that never sounded 303 00:15:17,000 --> 00:15:20,920 Speaker 7: so good. Find them on the free iHeartRadio app or 304 00:15:20,960 --> 00:15:22,760 Speaker 7: wherever you get your podcasts. 305 00:15:22,800 --> 00:15:27,040 Speaker 1: And we've got a story that we absolutely need to 306 00:15:27,280 --> 00:15:31,160 Speaker 1: discuss here with all of you. And it's because this 307 00:15:31,240 --> 00:15:34,840 Speaker 1: is getting a lot of attention, and even I think 308 00:15:34,880 --> 00:15:41,720 Speaker 1: some people out there who are generally or overall supportive 309 00:15:41,920 --> 00:15:45,920 Speaker 1: of Israel in its fight against Hamas have started to 310 00:15:45,960 --> 00:15:49,480 Speaker 1: waiver a little bit for the for a reason that 311 00:15:49,840 --> 00:15:54,240 Speaker 1: would be understandable at least with the specific goal of 312 00:15:54,320 --> 00:15:58,440 Speaker 1: trying to pressure the IDF to get more food to 313 00:15:58,680 --> 00:16:01,240 Speaker 1: the children of Gaza. That's the basic narrative. That's the 314 00:16:01,280 --> 00:16:04,440 Speaker 1: storyline that's out there. Trump has been talking about it, 315 00:16:04,720 --> 00:16:07,760 Speaker 1: others have been talking about it. In fact, here we 316 00:16:07,800 --> 00:16:12,080 Speaker 1: can get President Trump on Gaza. This has cut ten 317 00:16:12,200 --> 00:16:14,640 Speaker 1: This is the latest thing that he had to say 318 00:16:14,680 --> 00:16:15,000 Speaker 1: about it. 319 00:16:15,040 --> 00:16:15,400 Speaker 2: Play it. 320 00:16:15,480 --> 00:16:19,600 Speaker 8: I think everybody lists they're pretty cold hearted or of 321 00:16:19,600 --> 00:16:21,120 Speaker 8: course to that nuts. 322 00:16:22,480 --> 00:16:24,640 Speaker 9: And there's nothing you can say other than it's Sarah. 323 00:16:24,680 --> 00:16:27,200 Speaker 8: But when you see the kids and those that kids 324 00:16:27,240 --> 00:16:30,760 Speaker 8: into whether they talk starvation or not, those are kids 325 00:16:30,760 --> 00:16:36,080 Speaker 8: that are starving. That's I mean, they are starving and 326 00:16:36,240 --> 00:16:37,080 Speaker 8: you see the mothers. 327 00:16:37,080 --> 00:16:39,480 Speaker 9: They love them so much, and this is nothing they 328 00:16:39,560 --> 00:16:41,480 Speaker 9: seem to be able to do. They got to get 329 00:16:41,520 --> 00:16:42,320 Speaker 9: them food. 330 00:16:42,480 --> 00:16:45,200 Speaker 1: And we're going to get a food player. As we 331 00:16:45,560 --> 00:16:48,680 Speaker 1: have been discussing here on the program, a couple of things. 332 00:16:48,760 --> 00:16:54,240 Speaker 1: First off, it strikes a lot of us as contrary 333 00:16:54,280 --> 00:16:57,240 Speaker 1: to what we would think the Israeli government and the 334 00:16:57,240 --> 00:16:59,880 Speaker 1: IDF would do, based on all their actions up to 335 00:16:59,880 --> 00:17:02,400 Speaker 1: the point that they would willfully let children starve if 336 00:17:02,440 --> 00:17:03,520 Speaker 1: there was a way to prevent that. 337 00:17:04,040 --> 00:17:04,800 Speaker 2: I don't believe it. 338 00:17:05,359 --> 00:17:08,159 Speaker 1: And I'm not saying that there aren't civilian casualties that 339 00:17:08,160 --> 00:17:10,520 Speaker 1: have happened. I'm not saying there is not malnutrition going 340 00:17:10,560 --> 00:17:13,119 Speaker 1: on inside of Gaza. I'm just saying I don't believe 341 00:17:13,160 --> 00:17:15,639 Speaker 1: that it's a policy of the IDF two or the 342 00:17:15,680 --> 00:17:19,879 Speaker 1: Israeli government the Israeli people to starve out. And you 343 00:17:19,960 --> 00:17:23,240 Speaker 1: hear this term genocide being used now by people who 344 00:17:23,560 --> 00:17:26,879 Speaker 1: are very critical of Israel, and even some who aren't 345 00:17:26,920 --> 00:17:30,360 Speaker 1: always that critical of Israel. I've been looking at this 346 00:17:30,800 --> 00:17:33,800 Speaker 1: and thinking to myself, hold on a second, what. 347 00:17:33,920 --> 00:17:35,680 Speaker 2: Is really going on here? 348 00:17:35,840 --> 00:17:40,640 Speaker 1: This is very important what is actually happening in Gaza. 349 00:17:40,800 --> 00:17:45,240 Speaker 1: First of all, as we know, the narrative is now 350 00:17:45,280 --> 00:17:46,800 Speaker 1: starting to come out more than it is in fact 351 00:17:46,840 --> 00:17:49,600 Speaker 1: hamas that is preventing the distribution of food and seizing 352 00:17:49,640 --> 00:17:53,040 Speaker 1: food that is being provided to Gaza for the civilian 353 00:17:53,040 --> 00:17:56,480 Speaker 1: population there. That's point one. But point two, Clay this 354 00:17:57,320 --> 00:18:00,639 Speaker 1: New York Times story that on the on it was 355 00:18:00,680 --> 00:18:02,280 Speaker 1: a main story for the New York Times. 356 00:18:02,480 --> 00:18:05,480 Speaker 3: They had a page newspaper for those of us old 357 00:18:05,600 --> 00:18:08,600 Speaker 3: people like me who still read the newspaper. Literally, the 358 00:18:08,800 --> 00:18:11,480 Speaker 3: front page story the one that they considered the most 359 00:18:11,520 --> 00:18:13,560 Speaker 3: important to tell to their readers on that day. 360 00:18:14,200 --> 00:18:17,480 Speaker 1: It was just a few days ago, and there was 361 00:18:17,520 --> 00:18:21,320 Speaker 1: a story where they had a photo of a I mean, 362 00:18:21,359 --> 00:18:26,280 Speaker 1: it was a horrible looking photo in terms of just 363 00:18:26,800 --> 00:18:32,439 Speaker 1: emotionally devastating. You see a child who is very skeletal, 364 00:18:32,480 --> 00:18:35,560 Speaker 1: if you will, I mean, looks extremely malnourished, in the 365 00:18:35,640 --> 00:18:38,800 Speaker 1: hands of a woman. And the whole point of the 366 00:18:38,880 --> 00:18:42,240 Speaker 1: story based on this photo, and they chose this photo. 367 00:18:42,960 --> 00:18:45,200 Speaker 1: The whole point of the story is that the children 368 00:18:45,240 --> 00:18:48,000 Speaker 1: of Gaza are starving to death. Look at this because 369 00:18:48,040 --> 00:18:51,200 Speaker 1: it looked like somebody who would be starving to death, 370 00:18:51,640 --> 00:18:55,879 Speaker 1: something horrible beyond words, something that no moral person could countenance, 371 00:18:56,280 --> 00:18:59,879 Speaker 1: could sit by and allow to happen. And so it 372 00:19:00,119 --> 00:19:02,679 Speaker 1: obviously got a lot of attention all over the world. 373 00:19:03,520 --> 00:19:06,760 Speaker 1: The problem with the story is that the photo is 374 00:19:06,760 --> 00:19:11,000 Speaker 1: not an accurate representation of what is going on. Here 375 00:19:11,080 --> 00:19:14,800 Speaker 1: is The New York Times appending an editor's note an 376 00:19:14,880 --> 00:19:17,760 Speaker 1: editor's note to a story about Mohammed Zacharia al much 377 00:19:18,000 --> 00:19:21,560 Speaker 1: Mutawak a child in Gaza who's diagnosed with severe malnutrition. 378 00:19:22,240 --> 00:19:25,400 Speaker 1: After publication, This is from the New York Times PR department. 379 00:19:25,840 --> 00:19:29,160 Speaker 1: After publication, the Times learned that he had pre existing 380 00:19:29,280 --> 00:19:32,040 Speaker 1: health conditions. Please read more below. 381 00:19:32,080 --> 00:19:32,720 Speaker 2: They give more of. 382 00:19:32,640 --> 00:19:38,400 Speaker 1: This Clay, this individual has this child. It's still very 383 00:19:38,400 --> 00:19:42,960 Speaker 1: sad story. Hassistic fibrosis and that's actually and also other 384 00:19:43,040 --> 00:19:47,120 Speaker 1: pre existing health conditions. It's not a starvation story. They're 385 00:19:47,119 --> 00:19:50,239 Speaker 1: showing a child who's starving, who's not actually starving, but 386 00:19:50,320 --> 00:19:53,919 Speaker 1: has other pre existing health conditions, which they have now offered. 387 00:19:55,000 --> 00:19:57,760 Speaker 1: They ran a photo that is effectively a fake in 388 00:19:57,880 --> 00:20:00,800 Speaker 1: terms of the story, which is what they were telling 389 00:20:00,920 --> 00:20:03,320 Speaker 1: on the front page of the New York Times to 390 00:20:03,359 --> 00:20:06,360 Speaker 1: tell everybody that the Israelis are starving the children of Gaza. 391 00:20:07,400 --> 00:20:10,320 Speaker 3: Yeah, and our friend Carol Markowitz, who's in our podcast network, 392 00:20:10,400 --> 00:20:13,919 Speaker 3: been on the show a lot. She tweeted this as well. 393 00:20:14,480 --> 00:20:18,840 Speaker 3: The brother of this individual was all who is healthy 394 00:20:19,160 --> 00:20:22,919 Speaker 3: and has evidently no issues, was also cropped out of 395 00:20:22,960 --> 00:20:25,880 Speaker 3: the picture. And she says, and I think she's right, 396 00:20:26,040 --> 00:20:28,879 Speaker 3: this should be published on the front page of the paper. 397 00:20:29,160 --> 00:20:34,480 Speaker 3: The correction, not some side x account and she said, 398 00:20:34,480 --> 00:20:36,960 Speaker 3: if you fell for the hoax, this is very important. 399 00:20:37,040 --> 00:20:37,280 Speaker 2: Yeah. 400 00:20:37,320 --> 00:20:41,399 Speaker 1: They didn't share the correction on the official New York 401 00:20:41,480 --> 00:20:45,879 Speaker 1: Times account with millions and millions of followers. They shared 402 00:20:45,920 --> 00:20:49,800 Speaker 1: it from the PR Department's tiny account that nobody is 403 00:20:49,800 --> 00:20:51,879 Speaker 1: going to see or pay any attention to. And Clay, 404 00:20:51,880 --> 00:20:54,919 Speaker 1: you already pointed this out too. They had in the 405 00:20:54,960 --> 00:20:59,160 Speaker 1: same photo they cropped out a child who looks well 406 00:20:59,240 --> 00:20:59,959 Speaker 1: fed and healthy. 407 00:21:00,000 --> 00:21:03,639 Speaker 3: You should have raised issues in the mind of any 408 00:21:03,840 --> 00:21:07,240 Speaker 3: editor that saw this. Right, Wait a minute, one kid 409 00:21:07,320 --> 00:21:11,200 Speaker 3: is healthy and the other one is starving. How often 410 00:21:11,280 --> 00:21:14,160 Speaker 3: do you think that actually happens in the same family. 411 00:21:14,720 --> 00:21:17,119 Speaker 2: Never. I mean, I've got multiple kids. 412 00:21:17,560 --> 00:21:20,639 Speaker 3: I can't imagine a scenario where one of my kids 413 00:21:20,680 --> 00:21:24,320 Speaker 3: looks healthy and the other one is starving, and I'm saying, well, 414 00:21:24,320 --> 00:21:26,920 Speaker 3: it's because the whole family is unable to eat. I mean, 415 00:21:27,119 --> 00:21:29,080 Speaker 3: I think you probably would be trying to feed your 416 00:21:29,119 --> 00:21:32,400 Speaker 3: family equally there. So it should have raised a lot 417 00:21:32,400 --> 00:21:36,080 Speaker 3: of issues. And I would say this quick, yeah, go ahead, 418 00:21:36,080 --> 00:21:39,000 Speaker 3: go ahead. Now, remember when they got the Jason Blair story. 419 00:21:39,040 --> 00:21:40,359 Speaker 3: I mean that's probably been twenty some od. 420 00:21:40,560 --> 00:21:42,600 Speaker 1: He was just he was a serial fabricator, but he 421 00:21:42,640 --> 00:21:44,720 Speaker 1: was a young black reporter, and they were desperate to 422 00:21:44,760 --> 00:21:47,199 Speaker 1: tell stories of how diverse their new newsroom was. 423 00:21:47,240 --> 00:21:50,639 Speaker 3: And you know, yeah, but they put a huge front 424 00:21:50,640 --> 00:21:54,840 Speaker 3: page story out saying this was all fabricated, we got 425 00:21:54,840 --> 00:21:58,240 Speaker 3: this wrong. To Carol's point, I would argue this is 426 00:21:58,320 --> 00:22:01,440 Speaker 3: far more significant because the things that he was making up, 427 00:22:01,840 --> 00:22:04,879 Speaker 3: by and large were just kind of like stories about 428 00:22:05,000 --> 00:22:07,480 Speaker 3: wife in West Virginia or whatever it was. And look, 429 00:22:07,480 --> 00:22:11,240 Speaker 3: you don't want to make that stuff up. But this 430 00:22:11,400 --> 00:22:16,399 Speaker 3: actually alters the terrain of geopolitical negotiation and is intended 431 00:22:16,520 --> 00:22:21,360 Speaker 3: to send the message of Israel as intentionally starving young children, 432 00:22:21,800 --> 00:22:23,720 Speaker 3: and they use this image for that reason. 433 00:22:24,240 --> 00:22:31,720 Speaker 1: It is wildly inflammatory, yes, against Israel and against Jews worldwide, 434 00:22:32,119 --> 00:22:36,080 Speaker 1: and that was the purpose of the story, to make 435 00:22:36,280 --> 00:22:40,760 Speaker 1: them Israel, the Jews, to make them look like the 436 00:22:40,840 --> 00:22:45,360 Speaker 1: bad guys after they suffered their own nine to eleven 437 00:22:45,520 --> 00:22:49,919 Speaker 1: on October seventh, after they had the most horrific terrorist 438 00:22:49,960 --> 00:22:54,720 Speaker 1: attack since nine to eleven perpetrated against them, and with 439 00:22:54,800 --> 00:22:59,720 Speaker 1: a level of sadism the from Hamas that is shocking 440 00:22:59,720 --> 00:23:02,159 Speaker 1: to the conscience. Honestly, even for those of us who 441 00:23:02,880 --> 00:23:05,600 Speaker 1: did things in the GWATT and saw how evil al 442 00:23:05,720 --> 00:23:10,360 Speaker 1: Qaeda was and what they would do shocking to the conscience. 443 00:23:10,600 --> 00:23:14,320 Speaker 1: But this reminds me Clay of really is this is 444 00:23:14,359 --> 00:23:16,119 Speaker 1: on brand in a sense for the New York Times. 445 00:23:16,320 --> 00:23:20,439 Speaker 1: The New York Times is the paper that published Walter Duranti, 446 00:23:20,560 --> 00:23:26,520 Speaker 1: who on behalf of communism, lied about mass starvation in 447 00:23:26,560 --> 00:23:29,320 Speaker 1: the Soviet Union. Right, this is one of the most 448 00:23:29,359 --> 00:23:32,840 Speaker 1: infamous episodes of twentieth century journalism. Should have told you 449 00:23:32,880 --> 00:23:35,720 Speaker 1: all you need to know about the lib mindset and journals. 450 00:23:35,760 --> 00:23:41,760 Speaker 1: But Walter Duranti lied to cover up mass starvation in 451 00:23:41,800 --> 00:23:44,680 Speaker 1: the Soviet Union back in the nineteen early nineteen thirties, 452 00:23:45,280 --> 00:23:49,520 Speaker 1: and he actually got a Pulitzer Prize for it. Clay, 453 00:23:49,560 --> 00:23:52,280 Speaker 1: doesn't this all ring a bell? Just like the fake 454 00:23:52,359 --> 00:23:55,679 Speaker 1: Russia collusion stories. Those people got pulletzers. They still have them. 455 00:23:56,000 --> 00:24:00,480 Speaker 1: The purpose is not the truth. The purpose is manipulation 456 00:24:01,200 --> 00:24:05,159 Speaker 1: of the masses of the minds of the readers. And 457 00:24:05,280 --> 00:24:09,600 Speaker 1: the purpose here was very clearly now is the chance 458 00:24:10,119 --> 00:24:12,920 Speaker 1: after we saw how horrific Hamas was, and they took 459 00:24:13,119 --> 00:24:16,879 Speaker 1: two hundred plus hostages, and they raped women, and they 460 00:24:17,000 --> 00:24:20,640 Speaker 1: murdered babies, and they did all these horrible things intentionally 461 00:24:20,760 --> 00:24:24,320 Speaker 1: and on behalf of the people planning October seventh. I mean, 462 00:24:24,600 --> 00:24:27,600 Speaker 1: this was their plan. This wasn't some secondary thing that 463 00:24:27,720 --> 00:24:31,159 Speaker 1: just happened after all that now is the chance to 464 00:24:31,240 --> 00:24:34,640 Speaker 1: try to seize the moral high ground for the pro 465 00:24:34,800 --> 00:24:38,840 Speaker 1: Palestinian pro Hamas lunatics, and we're supposed to think it's 466 00:24:38,960 --> 00:24:42,520 Speaker 1: just an error play that The New York Times runs 467 00:24:43,040 --> 00:24:46,720 Speaker 1: a story that is essentially a fake story on when 468 00:24:46,760 --> 00:24:49,440 Speaker 1: you use a photo and say it is a thing 469 00:24:49,960 --> 00:24:52,159 Speaker 1: or represents a thing and it does not, which is 470 00:24:52,200 --> 00:24:54,640 Speaker 1: starvation of a child. That is not starvation that caused 471 00:24:54,680 --> 00:24:57,080 Speaker 1: that child to look that way, as anybody who knows 472 00:24:57,119 --> 00:25:00,520 Speaker 1: anything about the diseases that he had pre existing knows. 473 00:25:01,160 --> 00:25:02,680 Speaker 1: And then they cut out the photo of the healthy 474 00:25:02,720 --> 00:25:03,720 Speaker 1: looking little boy in. 475 00:25:03,680 --> 00:25:04,520 Speaker 2: The same photo. 476 00:25:05,000 --> 00:25:09,879 Speaker 3: It should began over again on the front page. I 477 00:25:09,920 --> 00:25:12,440 Speaker 3: would also point this out, and I think it's very 478 00:25:12,480 --> 00:25:17,520 Speaker 3: significant all of their errors have been in favor of Gaza. 479 00:25:17,600 --> 00:25:19,520 Speaker 2: Do you remember soon after. 480 00:25:19,359 --> 00:25:23,760 Speaker 3: October seventh, when Israel started to respond after the October 481 00:25:23,760 --> 00:25:27,720 Speaker 3: seventh attack, and all of these major news outlets, I 482 00:25:27,800 --> 00:25:30,199 Speaker 3: believe it was, they said that Israel had struck a 483 00:25:30,240 --> 00:25:31,840 Speaker 3: hospital and killed tons of people. 484 00:25:31,920 --> 00:25:32,840 Speaker 2: Do you remember that story. 485 00:25:32,840 --> 00:25:35,880 Speaker 3: It was on the front page everywhere, and it later 486 00:25:36,000 --> 00:25:39,520 Speaker 3: came out that it was a misfired rocket from Gaza 487 00:25:39,920 --> 00:25:42,720 Speaker 3: that actually from that is from Hamas, that actually hit 488 00:25:42,760 --> 00:25:46,080 Speaker 3: the hospital in Gaza, and so they allowed the story 489 00:25:46,119 --> 00:25:50,399 Speaker 3: to be Oh, Israel's intentionally targeting hospitals and killing innocent people. 490 00:25:50,640 --> 00:25:53,080 Speaker 3: Put it on the front page of the newspaper. If 491 00:25:53,119 --> 00:25:56,879 Speaker 3: your errors look, reporting is hard, right, Let's be honest. 492 00:25:56,920 --> 00:25:59,639 Speaker 3: Trying to tell the truth is a hard job when 493 00:25:59,680 --> 00:26:02,320 Speaker 3: they're lots of people trying to manipulate you all the time. 494 00:26:02,359 --> 00:26:05,120 Speaker 3: So I will say that, but if your errors always 495 00:26:05,240 --> 00:26:08,160 Speaker 3: run the same direction, it is a flaw of your 496 00:26:08,280 --> 00:26:12,200 Speaker 3: reporting that should be addressed because it is a sign. 497 00:26:12,480 --> 00:26:14,080 Speaker 2: Well, I don't think it's a flaw. 498 00:26:14,520 --> 00:26:16,640 Speaker 1: I think that gives them too much Creditally, I think 499 00:26:16,680 --> 00:26:20,000 Speaker 1: that the mission, the mission is the propaganda. Actually, I 500 00:26:20,040 --> 00:26:22,439 Speaker 1: don't think that this is a mistake. I think that 501 00:26:22,720 --> 00:26:25,760 Speaker 1: they know that this is what they are supposed to do. 502 00:26:26,000 --> 00:26:29,600 Speaker 1: They are playing for their team with this. And what 503 00:26:29,680 --> 00:26:32,160 Speaker 1: does it say if the starvation and the New York 504 00:26:32,160 --> 00:26:35,240 Speaker 1: Times is still saying, oh, there's mass starvation in Gaza, 505 00:26:35,320 --> 00:26:38,600 Speaker 1: what are the chances that there are children and this 506 00:26:38,680 --> 00:26:41,439 Speaker 1: is a horrific thing to even think about, but that 507 00:26:41,480 --> 00:26:44,320 Speaker 1: there are children who are starving to death in massive 508 00:26:44,400 --> 00:26:48,680 Speaker 1: numbers in Gaza. There are skeletal looking children who are 509 00:26:48,720 --> 00:26:51,520 Speaker 1: clinging to life all over Gaza. This is what we 510 00:26:51,560 --> 00:26:54,320 Speaker 1: are being told by the New York Times. But they 511 00:26:54,359 --> 00:26:57,280 Speaker 1: happen to pick a photo of somebody that is not starving, 512 00:26:57,320 --> 00:27:00,240 Speaker 1: a young child who is not starving. Very sad story, 513 00:27:00,400 --> 00:27:03,800 Speaker 1: assistic fibrosis, but he's not starving, and that's the photo 514 00:27:03,840 --> 00:27:07,120 Speaker 1: they put on the front page of the newspaper. You're 515 00:27:07,119 --> 00:27:09,119 Speaker 1: supposed to think that this is an error made in 516 00:27:09,200 --> 00:27:13,960 Speaker 1: good faith. Absolutely not, absolutely not. And the fact that 517 00:27:14,000 --> 00:27:16,800 Speaker 1: they won't really correct it in a way that will 518 00:27:16,880 --> 00:27:19,240 Speaker 1: change the perception of the people who read the original 519 00:27:19,280 --> 00:27:22,040 Speaker 1: story all over Clay. It was picked up all over 520 00:27:22,040 --> 00:27:25,880 Speaker 1: the world. It's not just New York Times readers. It's 521 00:27:25,920 --> 00:27:28,880 Speaker 1: all over the internet. It's everywhere. What do you think 522 00:27:28,920 --> 00:27:31,320 Speaker 1: it looks like, you know, in the Middle East newspapers 523 00:27:31,320 --> 00:27:34,200 Speaker 1: and websites, to the degree that those things really exist, Well, 524 00:27:34,200 --> 00:27:36,320 Speaker 1: what do you think it looks like there now? 525 00:27:36,680 --> 00:27:40,840 Speaker 2: After that photo? What do their readers think? It is reckless? 526 00:27:40,880 --> 00:27:45,040 Speaker 1: Beyond wards, The New York Times is a disgrace. It 527 00:27:45,160 --> 00:27:47,920 Speaker 1: is not an honest entity. It is not a good 528 00:27:48,000 --> 00:27:54,760 Speaker 1: faith journalistic operation. They are pure left wing anti civilization propagandists, 529 00:27:54,800 --> 00:27:58,280 Speaker 1: and everyone needs to read their articles with that in mind. 530 00:27:59,359 --> 00:28:01,119 Speaker 2: That's how I feel better. At least so I. 531 00:28:01,119 --> 00:28:03,240 Speaker 3: Think it's true. But I think at a bare minimum 532 00:28:03,359 --> 00:28:06,560 Speaker 3: the pressure. I think Carol Markowitz is right. You can't 533 00:28:06,600 --> 00:28:09,360 Speaker 3: have an error that egregious and just post from your 534 00:28:09,440 --> 00:28:12,360 Speaker 3: New York Times pr account, which a you know probably 535 00:28:12,640 --> 00:28:16,200 Speaker 3: what one in ten thousand people will actually see the correction. 536 00:28:17,200 --> 00:28:19,639 Speaker 3: You should have to put on the front page the 537 00:28:19,640 --> 00:28:23,159 Speaker 3: full picture that you edited and acknowledged that you told 538 00:28:23,359 --> 00:28:27,080 Speaker 3: something that was fundamentally untrue that impacted in a significant 539 00:28:27,119 --> 00:28:30,840 Speaker 3: way the discussion around how Israel in Gaza. Israel is 540 00:28:30,880 --> 00:28:32,280 Speaker 3: handling the situation in Gaza. 541 00:28:32,359 --> 00:28:33,240 Speaker 2: You're completely right. 542 00:28:33,359 --> 00:28:36,480 Speaker 1: I would just add to this, the people who picked 543 00:28:36,480 --> 00:28:41,040 Speaker 1: that photo did not do so in error. They picked 544 00:28:41,040 --> 00:28:46,360 Speaker 1: that photo because their fundamental role here is to try 545 00:28:46,400 --> 00:28:50,040 Speaker 1: to create at least moral equivalency between Israel and Hamas, 546 00:28:50,360 --> 00:28:53,560 Speaker 1: if not. The Palestinians are the good guys, Israel the 547 00:28:53,600 --> 00:28:57,440 Speaker 1: bad guys. That's their actual job in their minds. Also, 548 00:28:57,600 --> 00:28:58,520 Speaker 1: I will point out. 549 00:28:59,120 --> 00:29:01,120 Speaker 3: Remember all those people out there that we're supposed to 550 00:29:01,120 --> 00:29:05,840 Speaker 3: be fact finding experts on misinformation and disinformation. This seems 551 00:29:05,920 --> 00:29:09,160 Speaker 3: like a pretty egregious example of that that should be 552 00:29:09,240 --> 00:29:12,920 Speaker 3: widely covered by other media outlets that care about the truth. 553 00:29:13,240 --> 00:29:15,480 Speaker 3: Are you seeing any of those articles, know any of 554 00:29:15,520 --> 00:29:17,760 Speaker 3: those media discussions. I'm not seeing it anywhere. 555 00:29:18,560 --> 00:29:20,960 Speaker 1: The number of unborn babies at risk of abortion is 556 00:29:21,000 --> 00:29:23,800 Speaker 1: still so high in this country, but thank goodness that 557 00:29:23,880 --> 00:29:28,240 Speaker 1: there are Preborn clinics saving lives day after day. With 558 00:29:28,400 --> 00:29:31,280 Speaker 1: your help and support, they think they can reach this 559 00:29:31,400 --> 00:29:35,720 Speaker 1: number seventy thousand unborn children save this year. But it's 560 00:29:35,800 --> 00:29:37,920 Speaker 1: up to us, the pro life community, to take action 561 00:29:38,160 --> 00:29:40,960 Speaker 1: right now. The laws aren't all going to change. People's 562 00:29:41,000 --> 00:29:43,200 Speaker 1: minds aren't all going to change along with them. We 563 00:29:43,320 --> 00:29:45,360 Speaker 1: have to do what we can to help mothers in 564 00:29:45,440 --> 00:29:49,480 Speaker 1: crisis bring their tiny little babies into this world, saving 565 00:29:49,560 --> 00:29:52,800 Speaker 1: lives every step of the way. This is what Preborn does, 566 00:29:52,880 --> 00:29:55,480 Speaker 1: and they accomplish it with a twenty eight dollars expense 567 00:29:55,800 --> 00:29:59,080 Speaker 1: per ultrasound, because that ultrasound is the beginning. That's the 568 00:29:59,120 --> 00:30:02,600 Speaker 1: first thing, day one experience that Preborn gives these pregnant 569 00:30:02,600 --> 00:30:05,200 Speaker 1: women who come in these mothers to be They say, 570 00:30:05,320 --> 00:30:07,920 Speaker 1: let's let you meet your tiny baby with an ultrasound 571 00:30:08,040 --> 00:30:11,000 Speaker 1: and then we'll talk about options. This is saving so 572 00:30:11,160 --> 00:30:14,880 Speaker 1: many lives. They need your support. Twenty eight dollars would 573 00:30:14,920 --> 00:30:17,680 Speaker 1: provide for an ultrasound. Twenty eight dollars a month would 574 00:30:17,720 --> 00:30:20,280 Speaker 1: be twelve ultrasounds over the course of a year. It's 575 00:30:20,320 --> 00:30:24,240 Speaker 1: tax deductible, and it's saving lives. Please to donate securely, 576 00:30:24,520 --> 00:30:27,760 Speaker 1: dial pound two fifty and say the keyword baby. That's 577 00:30:27,760 --> 00:30:31,080 Speaker 1: pound two five zero say baby, or visit preborn dot 578 00:30:31,080 --> 00:30:34,840 Speaker 1: com slash buck that's preborn dot com, slash b U 579 00:30:35,080 --> 00:30:35,440 Speaker 1: c K. 580 00:30:37,200 --> 00:30:39,480 Speaker 10: Want to be in the know when you're on the 581 00:30:39,560 --> 00:30:44,200 Speaker 10: go team forty seven podcasts Trump Highlights from the week 582 00:30:44,480 --> 00:30:47,560 Speaker 10: Sundays at noon Eastern in the clay In Bug podcast feed. 583 00:30:47,680 --> 00:30:50,800 Speaker 10: Find it on the iHeartRadio app or wherever you get 584 00:30:50,840 --> 00:30:52,280 Speaker 10: your podcasts. 585 00:30:52,280 --> 00:30:54,080 Speaker 3: We'll get some of your calls. Eight hundred and two 586 00:30:54,080 --> 00:30:57,760 Speaker 3: eighty two two eight eight to two Scott in Indiana, 587 00:30:58,080 --> 00:30:58,920 Speaker 3: what you got for us? 588 00:31:00,400 --> 00:31:02,840 Speaker 6: Hey, keep up the good work. I can't tell whether 589 00:31:02,960 --> 00:31:07,479 Speaker 6: Trump thinks Israel starving the people on purpose or not. 590 00:31:08,440 --> 00:31:12,520 Speaker 6: If he is, it would be ironic considering a couple 591 00:31:12,520 --> 00:31:15,600 Speaker 6: of weeks ago he chastised everybody for falling for the 592 00:31:15,640 --> 00:31:20,880 Speaker 6: Epstein hoax. So you think he's do you think. 593 00:31:20,880 --> 00:31:21,480 Speaker 2: This is Scott? 594 00:31:21,560 --> 00:31:25,160 Speaker 1: This is really important, This is really important. There is 595 00:31:25,280 --> 00:31:28,720 Speaker 1: widespread reporting that I think is reliable, that there is 596 00:31:29,280 --> 00:31:33,600 Speaker 1: that food is not getting to people insufficient you know, 597 00:31:33,720 --> 00:31:37,120 Speaker 1: insufficient quantity in Gaza, including children who are probably or 598 00:31:37,200 --> 00:31:41,120 Speaker 1: who rather are malnourished, not yet starving that, but malnourished 599 00:31:41,120 --> 00:31:43,800 Speaker 1: as a result of it. But Hamas is preventing the 600 00:31:43,840 --> 00:31:46,400 Speaker 1: food from getting to them, is the point. And so 601 00:31:46,520 --> 00:31:49,840 Speaker 1: then to make this an even more emotional issue, they 602 00:31:49,920 --> 00:31:52,480 Speaker 1: pick this photo and they say, oh, see this is 603 00:31:52,480 --> 00:31:55,720 Speaker 1: what Israel is deciding to do to people. So there's 604 00:31:55,800 --> 00:31:59,360 Speaker 1: the who's responsible for it, and then there's the degree 605 00:31:59,600 --> 00:32:02,960 Speaker 1: of how much is food not getting So Hamas is 606 00:32:02,960 --> 00:32:05,480 Speaker 1: preventing food from getting through in the numbers that it 607 00:32:05,480 --> 00:32:07,120 Speaker 1: should be getting or in the quantity it should be 608 00:32:07,160 --> 00:32:10,160 Speaker 1: getting through. And then the New York Times is picking 609 00:32:10,160 --> 00:32:12,080 Speaker 1: this story to make it seem like this is an 610 00:32:12,120 --> 00:32:14,200 Speaker 1: Israeli plot or Israeli decision. 611 00:32:14,840 --> 00:32:20,600 Speaker 3: Also, if Israel wanted to kill everyone in Gaza, they 612 00:32:20,600 --> 00:32:23,280 Speaker 3: could have done it two years ago, they could have 613 00:32:23,960 --> 00:32:29,600 Speaker 3: carpet bombed everyone and legitimately killed everybody who lives in Gaza. 614 00:32:29,680 --> 00:32:33,160 Speaker 3: They have the wherewithal and the power and the ability 615 00:32:33,200 --> 00:32:37,160 Speaker 3: to do that. Look at the attempted tactical strikes. Look 616 00:32:37,160 --> 00:32:40,040 Speaker 3: at what happened in Iran. They pretty much only killed 617 00:32:40,080 --> 00:32:46,720 Speaker 3: They hit apartment building units that that Iranian nuclear scientists 618 00:32:46,760 --> 00:32:49,920 Speaker 3: were in and didn't touch anybody else. And why let's 619 00:32:49,920 --> 00:32:53,000 Speaker 3: just put this in the cold, hard reality, real polity 620 00:32:53,120 --> 00:32:55,440 Speaker 3: for a second. At this stage of the game, Israel 621 00:32:55,520 --> 00:32:57,600 Speaker 3: is going to intentionally starve children to death to turn 622 00:32:57,600 --> 00:33:00,400 Speaker 3: the whole world against it. Of course, not that's insane. 623 00:33:00,520 --> 00:33:04,120 Speaker 3: I'm not saying children aren't starving. I'm saying, look at 624 00:33:04,120 --> 00:33:07,520 Speaker 3: who's responsible for preventing the food from getting to them, 625 00:33:07,800 --> 00:33:09,880 Speaker 3: and look at how the New York Times is then 626 00:33:09,920 --> 00:33:13,240 Speaker 3: trying to lie about that culpability. We're joined by Senator 627 00:33:13,400 --> 00:33:18,360 Speaker 3: Mike Lee of the Great State of Senator Lee, thanks 628 00:33:18,400 --> 00:33:20,719 Speaker 3: for joining us on the fly, sir, appreciate. 629 00:33:20,200 --> 00:33:22,120 Speaker 11: You, Thank you very much. 630 00:33:23,320 --> 00:33:25,440 Speaker 1: Can we just dive into this, well, Clay, do we 631 00:33:25,480 --> 00:33:28,560 Speaker 1: want to do judges and US attorneys first? 632 00:33:28,560 --> 00:33:31,320 Speaker 2: You want to do? We want to do the redistricting first. 633 00:33:31,320 --> 00:33:34,200 Speaker 1: Because I got to ask you what is going on 634 00:33:34,320 --> 00:33:37,520 Speaker 1: here with the log jam on the judges and US 635 00:33:37,560 --> 00:33:39,280 Speaker 1: attorneys and what should we do about it. 636 00:33:40,200 --> 00:33:44,320 Speaker 11: Look, we've got a confirmation backlog in the Senate. President 637 00:33:44,320 --> 00:33:47,640 Speaker 11: Trump has sent one hundreds of nominees over We currently 638 00:33:47,640 --> 00:33:50,719 Speaker 11: have a Senate confirmation backlog of about one hundred and 639 00:33:50,800 --> 00:33:54,000 Speaker 11: fifty people now just day be four. Yesterday that number 640 00:33:54,040 --> 00:33:57,280 Speaker 11: stood at one hundred and forty four. We're now approaching 641 00:33:57,320 --> 00:34:00,560 Speaker 11: one hundred and fifty. We're adding to that base every 642 00:34:00,600 --> 00:34:04,200 Speaker 11: day the Senate's in session. And if we leave for 643 00:34:04,280 --> 00:34:09,440 Speaker 11: August recess without meaningfully confronting this, then we're never going 644 00:34:09,520 --> 00:34:13,880 Speaker 11: to catch up. And the result of that is awful 645 00:34:14,080 --> 00:34:17,440 Speaker 11: because here's what happens. Remember, the deep state bureaucrats, the 646 00:34:17,520 --> 00:34:22,840 Speaker 11: career civil servant bureaucrats, are overwhelmingly leftist. They're overwhelmingly democratic. 647 00:34:23,640 --> 00:34:25,880 Speaker 11: So this is different than if the Democrats were in 648 00:34:25,920 --> 00:34:28,880 Speaker 11: power and Republicans were delying them. When that happens and 649 00:34:28,960 --> 00:34:31,400 Speaker 11: a Democrat nominee doesn't get through, well they still have 650 00:34:31,440 --> 00:34:36,040 Speaker 11: a Democrat liberal Democrat in most cases running to show 651 00:34:36,080 --> 00:34:39,239 Speaker 11: at whatever executive branch agency they're putting them in. Because 652 00:34:39,239 --> 00:34:43,279 Speaker 11: that's what the deep state bureaucrats are. But when it's Republicans, 653 00:34:43,480 --> 00:34:45,840 Speaker 11: we're surrendering to the other party. We can't let that happen. 654 00:34:46,040 --> 00:34:49,239 Speaker 11: Here's the thing. We've been blaming the dams in appropriately, 655 00:34:49,239 --> 00:34:52,000 Speaker 11: so they've been delaying. But we have to remember, this 656 00:34:52,160 --> 00:34:55,080 Speaker 11: is what minority parties have been doing in the Senate 657 00:34:55,280 --> 00:34:58,600 Speaker 11: more or less since Harry Renuuke's the executive Philip Busher 658 00:34:58,640 --> 00:35:00,680 Speaker 11: back in November of twenty thirteen. This is what they 659 00:35:00,760 --> 00:35:03,880 Speaker 11: do now. Democrats do it to a more severe degree. 660 00:35:04,320 --> 00:35:06,879 Speaker 11: We cooperate it more with them than they are with us. 661 00:35:06,920 --> 00:35:10,600 Speaker 11: But regardless, saying that they're doing it worse doesn't fix 662 00:35:10,640 --> 00:35:14,080 Speaker 11: the problem. There is only one thing that fixes this 663 00:35:14,200 --> 00:35:17,120 Speaker 11: problem in the modern summit, in the modern Senate, which 664 00:35:17,160 --> 00:35:20,200 Speaker 11: is the principle of exhaustion. We have to exhaust them 665 00:35:20,239 --> 00:35:22,799 Speaker 11: into compliance. We have to keep them here until such 666 00:35:22,800 --> 00:35:24,520 Speaker 11: some as we've cleared the backlog, and we have to 667 00:35:24,560 --> 00:35:28,720 Speaker 11: make them vote, including it inconvenient times and hours and weeks. 668 00:35:28,840 --> 00:35:31,440 Speaker 11: Wouldn't it much rather be somewhere else? That is the 669 00:35:31,440 --> 00:35:33,399 Speaker 11: only way to fix it. If we keep them here, 670 00:35:33,520 --> 00:35:35,600 Speaker 11: keep them voting, we end the backlog. If we don't, 671 00:35:35,640 --> 00:35:38,480 Speaker 11: we surrender to the deep date and therefore the Democrats. 672 00:35:39,880 --> 00:35:42,600 Speaker 3: By the way, let me mention this, the Fed, as 673 00:35:42,600 --> 00:35:45,000 Speaker 3: we told you was likely going to be the case, 674 00:35:45,200 --> 00:35:50,520 Speaker 3: has declined to lower interest rates, although there are dissenters 675 00:35:50,600 --> 00:35:53,839 Speaker 3: from inside of the FED saying, hey, we should be 676 00:35:53,920 --> 00:35:59,560 Speaker 3: cutting rates. So just fyi, they have left interest rates unchanged. 677 00:35:59,600 --> 00:36:03,640 Speaker 3: But that is the That is the literally breaking news 678 00:36:03,640 --> 00:36:06,759 Speaker 3: as we start the third hour of the program here. Okay, sender, 679 00:36:06,840 --> 00:36:11,120 Speaker 3: thanks for coming on. What is in your mind the solution? 680 00:36:11,280 --> 00:36:14,880 Speaker 3: Because I was asking about how recess appointments might be applied. 681 00:36:15,320 --> 00:36:20,000 Speaker 3: President Trump has not used the recess appointment opportunity. What 682 00:36:20,040 --> 00:36:23,800 Speaker 3: are the disadvantages associated with doing that in a way 683 00:36:23,880 --> 00:36:28,040 Speaker 3: that people like me can understand without going into all 684 00:36:28,080 --> 00:36:31,799 Speaker 3: of the just sort of the labyrinth of all of 685 00:36:31,840 --> 00:36:34,399 Speaker 3: the different Senate parliamentarian aspects. 686 00:36:35,000 --> 00:36:38,520 Speaker 11: Yep, all right, So the biggest single disadvantage is that 687 00:36:38,560 --> 00:36:43,640 Speaker 11: a recess appointment can't stay indefinitely the Constitution. The recess 688 00:36:43,880 --> 00:36:47,759 Speaker 11: appointee can remain in there in essence on the current 689 00:36:47,800 --> 00:36:51,719 Speaker 11: interpretations of that clause, they can stay in there. If 690 00:36:51,760 --> 00:36:54,040 Speaker 11: they are recess appointed now, they could stay in there 691 00:36:54,160 --> 00:36:55,680 Speaker 11: till the end of next year. Till the end of 692 00:36:55,719 --> 00:36:58,440 Speaker 11: twenty twenty six. It's the biggest disadvantage. But the other 693 00:36:58,480 --> 00:37:02,200 Speaker 11: reason why President Trump hasn't used that is that more 694 00:37:02,280 --> 00:37:05,839 Speaker 11: or less for the last decade plus, since at least 695 00:37:05,880 --> 00:37:09,319 Speaker 11: around twenty thirteen, it started a big Before then, the 696 00:37:09,400 --> 00:37:13,000 Speaker 11: Senate typically has been holding what are called pro forma 697 00:37:13,120 --> 00:37:15,279 Speaker 11: sessions even while for puting to go into recess I 698 00:37:15,280 --> 00:37:19,080 Speaker 11: mean reconvening every three days one member comes in, gabbles in, 699 00:37:19,160 --> 00:37:22,959 Speaker 11: gabbles out, in order to avoid the technicality of going 700 00:37:22,960 --> 00:37:27,279 Speaker 11: into recess for constitutional purposes. In other words, these pro 701 00:37:27,320 --> 00:37:30,840 Speaker 11: forma sessions basically serve one purpose, which is to prevent 702 00:37:30,920 --> 00:37:33,400 Speaker 11: the President of the United States from making recess appointments. 703 00:37:33,800 --> 00:37:36,680 Speaker 11: So that's the biggest disadvantage. Bears that we haven't made 704 00:37:36,680 --> 00:37:39,240 Speaker 11: it possible, and that's why I've been saying the best 705 00:37:39,239 --> 00:37:41,040 Speaker 11: thing for us to do, the only way I believe 706 00:37:41,080 --> 00:37:43,080 Speaker 11: we're going to end the lodge Ham and the impass, 707 00:37:43,640 --> 00:37:47,160 Speaker 11: is for us to make the Democrats and Republicans stay 708 00:37:47,200 --> 00:37:51,200 Speaker 11: here and cast votes even when, especially when it's difficult 709 00:37:51,440 --> 00:37:54,200 Speaker 11: or inconvenient, or members would rather be somewhere else. It's 710 00:37:54,239 --> 00:37:57,239 Speaker 11: the only surefire way to end this now, sure that 711 00:37:57,800 --> 00:38:00,360 Speaker 11: if the Senate unwikely decides to recess anyway, and for 712 00:38:00,400 --> 00:38:03,600 Speaker 11: the love of Pete, we should actually recess and stop 713 00:38:03,640 --> 00:38:07,040 Speaker 11: holding these pro forma sessions that have as their principal 714 00:38:07,080 --> 00:38:10,080 Speaker 11: function preventing the President of the United States from exercising 715 00:38:10,160 --> 00:38:12,160 Speaker 11: the recess appointment power under the Constitution. 716 00:38:12,760 --> 00:38:14,279 Speaker 1: And it feels like there's a lot of games going 717 00:38:14,320 --> 00:38:19,200 Speaker 1: on here, Senator Lee, within these rules, and yet the blue. 718 00:38:18,960 --> 00:38:20,480 Speaker 2: Slip rule is sacred. 719 00:38:21,360 --> 00:38:22,839 Speaker 1: Can you give me a little more on this one, 720 00:38:22,840 --> 00:38:25,920 Speaker 1: because Trump obviously thinks that enough is enough with the 721 00:38:25,920 --> 00:38:27,040 Speaker 1: blue slip nonsense. 722 00:38:28,360 --> 00:38:31,400 Speaker 11: Yeah, I think that's right now to bring your audience 723 00:38:31,480 --> 00:38:33,960 Speaker 11: up to speak. The blue slip in the Senate basically 724 00:38:33,960 --> 00:38:37,400 Speaker 11: does the following for correlated The way it works is 725 00:38:37,400 --> 00:38:40,279 Speaker 11: that for a federal district judge, a federal trial court 726 00:38:40,320 --> 00:38:44,080 Speaker 11: level judge, for a US attorney or US marshal in 727 00:38:44,120 --> 00:38:49,279 Speaker 11: somebody state, the Senate Judiciary Committee has long refused to 728 00:38:49,440 --> 00:38:53,280 Speaker 11: process a presidential nominee in lesser until such time as 729 00:38:53,320 --> 00:38:56,799 Speaker 11: the two home state senators have signed a document that 730 00:38:56,960 --> 00:38:59,080 Speaker 11: is historically written out on blue paper. That's what we 731 00:38:59,080 --> 00:39:02,640 Speaker 11: call it, the blue slips. I'm okay with these nominees. Now, 732 00:39:03,360 --> 00:39:05,480 Speaker 11: the blue slip has around been around for many decades. 733 00:39:05,560 --> 00:39:08,719 Speaker 11: It is not mandated by statute, it's not imposed by rule. 734 00:39:09,080 --> 00:39:12,239 Speaker 11: It is a custom. It is moreover, not something that's 735 00:39:12,239 --> 00:39:16,680 Speaker 11: been carved into stone tablets. It is not an xurable command, 736 00:39:16,760 --> 00:39:20,520 Speaker 11: and it has been modified in practice over many years, 737 00:39:21,080 --> 00:39:25,719 Speaker 11: meaning when one side of the aisle abuses it consistently, 738 00:39:26,280 --> 00:39:29,479 Speaker 11: it often morphs in order to accommodate them. Now, we've 739 00:39:29,480 --> 00:39:33,600 Speaker 11: always had the understanding that if you push it too far, 740 00:39:34,640 --> 00:39:37,080 Speaker 11: like any other privilege, it'll be taken away. I had 741 00:39:37,120 --> 00:39:40,040 Speaker 11: the understanding and the last administration, for example, when dealing 742 00:39:40,040 --> 00:39:45,560 Speaker 11: with the Obama administration, I knew that I had to 743 00:39:45,719 --> 00:39:50,400 Speaker 11: make recommendations to them on district judges, US attorneys, US marshals, 744 00:39:50,440 --> 00:39:52,480 Speaker 11: and so forth. I had to make my blue slip 745 00:39:52,680 --> 00:39:58,319 Speaker 11: recommendations to them realistically, and that I wasn't necessarily going 746 00:39:58,320 --> 00:40:03,279 Speaker 11: to get it away with recommending people who were lifelong, 747 00:40:03,520 --> 00:40:10,560 Speaker 11: well known, staunch, openly conservative textualist originalists for example. We 748 00:40:10,680 --> 00:40:13,839 Speaker 11: just understood that the nominees might be a little bit 749 00:40:13,880 --> 00:40:18,279 Speaker 11: different than what we would pick, what would prefer the 750 00:40:18,320 --> 00:40:22,319 Speaker 11: president pick during a republican administration. If the Democrats can't 751 00:40:22,360 --> 00:40:28,480 Speaker 11: accept that, and they consistently refuse to accommodate what are 752 00:40:28,800 --> 00:40:32,840 Speaker 11: Trump's reasonable minimum expectations in their states. Then I suspect 753 00:40:32,920 --> 00:40:36,080 Speaker 11: that they can, should, and probably will lose their blue 754 00:40:36,120 --> 00:40:37,920 Speaker 11: slip privileges in many instances. 755 00:40:38,520 --> 00:40:43,879 Speaker 3: We're talking to Senator Mike Lee of Utah new revelations potentially, 756 00:40:43,960 --> 00:40:48,440 Speaker 3: according to Fox News, about documents involving Russia collusion that 757 00:40:48,480 --> 00:40:52,480 Speaker 3: have been found by cash Pttel inside of FBI offices 758 00:40:52,520 --> 00:40:56,640 Speaker 3: that were supposed to have been destroyed that were not you, 759 00:40:57,080 --> 00:40:59,960 Speaker 3: I think were one of the top contenders to be 760 00:41:00,080 --> 00:41:03,279 Speaker 3: Attorney General. So you are very very well versed in 761 00:41:03,400 --> 00:41:06,400 Speaker 3: the Department of Justice. You have served, I believe as 762 00:41:06,440 --> 00:41:10,080 Speaker 3: a judge in your past life experience, you're a guy 763 00:41:10,080 --> 00:41:12,520 Speaker 3: who's been involved in a lot of these things. What 764 00:41:12,600 --> 00:41:16,480 Speaker 3: should happen as it pertains to Russia collusion based on 765 00:41:16,600 --> 00:41:20,120 Speaker 3: the evidence you have seen, not only what should what 766 00:41:20,280 --> 00:41:23,400 Speaker 3: do you think will what should our audience expect to see, 767 00:41:23,480 --> 00:41:24,840 Speaker 3: and what should they see? 768 00:41:25,360 --> 00:41:26,719 Speaker 2: In your mind, but. 769 00:41:26,920 --> 00:41:30,840 Speaker 11: Most importantly, the facts, the information will need to continue 770 00:41:30,920 --> 00:41:36,520 Speaker 11: to come out. Remember, for the last eight nine years, 771 00:41:37,160 --> 00:41:39,719 Speaker 11: we've been told a consistent lie. We've been told that 772 00:41:39,840 --> 00:41:43,840 Speaker 11: by the Democratic apparatus. We've been told that by the 773 00:41:44,040 --> 00:41:47,440 Speaker 11: mainstream media, also known as the communications arm of the 774 00:41:47,440 --> 00:41:52,759 Speaker 11: Democratic Party. We've been told lies about Russian collusion. Now, 775 00:41:53,120 --> 00:41:55,680 Speaker 11: as Jonathan Turtley noted on Fox News the other day, 776 00:41:55,680 --> 00:41:59,839 Speaker 11: there was in fact a collusive scandal at the close 777 00:41:59,880 --> 00:42:03,240 Speaker 11: of twenty sixteen related to Russia. But it just wasn't 778 00:42:03,320 --> 00:42:06,200 Speaker 11: at all what we were told. There was a scandal, 779 00:42:06,239 --> 00:42:10,200 Speaker 11: there was collusion there. But remember what happened here was 780 00:42:10,239 --> 00:42:15,640 Speaker 11: that President Obama, according to these recent revelations, went in 781 00:42:16,160 --> 00:42:20,440 Speaker 11: after the November twenty sixteen election, after Prisident Trump had 782 00:42:20,440 --> 00:42:24,360 Speaker 11: been elected President of the United States, and directed the 783 00:42:24,440 --> 00:42:27,719 Speaker 11: United States government officials in the room with him to 784 00:42:27,800 --> 00:42:33,280 Speaker 11: go out and show to find evidence, develop evidence, manufacture evidence, 785 00:42:33,360 --> 00:42:36,640 Speaker 11: manipulate evidence, however you want to put it, to demonstrate 786 00:42:36,880 --> 00:42:41,880 Speaker 11: not if not whether, but how Russia impacted the outcome 787 00:42:41,920 --> 00:42:44,320 Speaker 11: of the election and did so in Donald Trump's favor. 788 00:42:44,880 --> 00:42:47,960 Speaker 11: That simply wasn't true, and in fact, they were messing 789 00:42:48,000 --> 00:42:53,160 Speaker 11: with evidence. This is a horrific scandal, and based on 790 00:42:53,280 --> 00:42:56,279 Speaker 11: what we've learned about this already, this is arguably the 791 00:42:56,320 --> 00:43:02,040 Speaker 11: most significant political scandal in US history. And I'm not 792 00:43:02,120 --> 00:43:05,239 Speaker 11: even sure what the outcome will be. We don't have 793 00:43:05,280 --> 00:43:08,120 Speaker 11: anything else to compare it to. But the most important 794 00:43:08,160 --> 00:43:10,120 Speaker 11: part of it. There are all kinds of considerations, from 795 00:43:10,120 --> 00:43:13,759 Speaker 11: statutes of limitations to whatever it takes to get more 796 00:43:13,800 --> 00:43:16,040 Speaker 11: information out of this that will have to be taken 797 00:43:16,080 --> 00:43:20,319 Speaker 11: into account to know exactly who may be charged. But 798 00:43:20,400 --> 00:43:22,799 Speaker 11: the most important thing is that the American people learn 799 00:43:22,840 --> 00:43:24,480 Speaker 11: about it, and then we get to the bottom of 800 00:43:24,600 --> 00:43:27,480 Speaker 11: who knew what and when and hold on accountable for that. 801 00:43:28,520 --> 00:43:30,520 Speaker 3: Centerarly, we know you have to get out on the 802 00:43:30,560 --> 00:43:32,960 Speaker 3: floor and get to work. We appreciate you fitness in 803 00:43:33,080 --> 00:43:35,319 Speaker 3: to answer these questions we were talking about today. Keep 804 00:43:35,360 --> 00:43:37,080 Speaker 3: up the good work and shoot me at text when 805 00:43:37,120 --> 00:43:37,839 Speaker 3: you want to come on again. 806 00:43:38,320 --> 00:43:39,440 Speaker 2: Need to talk to the audience. 807 00:43:40,080 --> 00:43:41,480 Speaker 11: Well due, Thanks so much. 808 00:43:42,520 --> 00:43:45,879 Speaker 3: Center Mike Lee, great Twitter account at base Mike Lee, 809 00:43:46,000 --> 00:43:48,759 Speaker 3: I believe is the one that is the best to 810 00:43:48,840 --> 00:43:52,319 Speaker 3: follow out of Utah and you can go find him there. 811 00:43:52,360 --> 00:43:55,360 Speaker 3: We appreciate him squeezing us in. Look, if you don't 812 00:43:55,440 --> 00:43:59,200 Speaker 3: want to have Joe Biden level energy, if you'd like 813 00:43:59,280 --> 00:44:02,960 Speaker 3: to have Donald Trump level energy, our sponsor Chalk can 814 00:44:03,040 --> 00:44:07,200 Speaker 3: make that popular. The male Vitality stack that will replenish 815 00:44:07,239 --> 00:44:11,640 Speaker 3: diminis testosterone levels in a few months time, twenty percent 816 00:44:11,719 --> 00:44:15,120 Speaker 3: distant difference. Buck has seen it in his own life. 817 00:44:15,160 --> 00:44:17,439 Speaker 3: You've also seen it in your mother in law's life. 818 00:44:17,440 --> 00:44:20,760 Speaker 3: You've got a three month old baby. Probably having energy 819 00:44:20,960 --> 00:44:23,040 Speaker 3: maybe more important now than ever before. 820 00:44:23,719 --> 00:44:25,480 Speaker 1: You hit some chalk, and all of a sudden, it's 821 00:44:25,480 --> 00:44:26,800 Speaker 1: like the house has cleaned itself. 822 00:44:26,920 --> 00:44:27,440 Speaker 2: My friend. 823 00:44:27,680 --> 00:44:29,759 Speaker 1: All of the boxes that have to be moved in 824 00:44:29,760 --> 00:44:31,720 Speaker 1: the garage Clay like magic. 825 00:44:31,760 --> 00:44:32,879 Speaker 2: They're moved because you. 826 00:44:32,880 --> 00:44:34,840 Speaker 1: Have so much energy, ferocity and drive. 827 00:44:35,320 --> 00:44:38,120 Speaker 3: There you go chalk dot com our buddy Seaton, great 828 00:44:38,160 --> 00:44:41,279 Speaker 3: company out of Texas, American based. Go check it out 829 00:44:41,320 --> 00:44:43,560 Speaker 3: right now, use my name Clay. You get a massive 830 00:44:43,640 --> 00:44:47,440 Speaker 3: discount on any subscription for life, big time discount. Go 831 00:44:47,520 --> 00:44:52,680 Speaker 3: to cchoq dot com my name Clay for a massive discount. 832 00:44:52,760 --> 00:44:56,279 Speaker 3: You can cancel anytime, no penalties. So why not try 833 00:44:56,320 --> 00:44:58,200 Speaker 3: it out? Why not put some energy back in your life? 834 00:44:58,200 --> 00:45:00,520 Speaker 3: When I put some testosterone back in your life, be 835 00:45:00,680 --> 00:45:03,720 Speaker 3: like Trump, not like Biden. Have some energy at chalk 836 00:45:03,840 --> 00:45:05,320 Speaker 3: dot com, code Clay. 837 00:45:06,040 --> 00:45:09,600 Speaker 10: You know them as conservative radio hosts, now just get 838 00:45:09,640 --> 00:45:13,480 Speaker 10: to know them as guys on This Sunday Hang podcast 839 00:45:13,560 --> 00:45:16,520 Speaker 10: with Clay and Fuck. Find it in their podcast feed 840 00:45:16,560 --> 00:45:20,720 Speaker 10: on the iHeartRadio app or wherever you get your podcast's. 841 00:45:20,040 --> 00:45:23,200 Speaker 1: Got Tommy Laren with us Now of Fox News and 842 00:45:23,560 --> 00:45:27,319 Speaker 1: OutKick and Tommy, let's just get right to it. Are 843 00:45:27,360 --> 00:45:30,800 Speaker 1: you surprised or is this right in line with expectations 844 00:45:30,840 --> 00:45:36,040 Speaker 1: to see the absolute freak out across the media when 845 00:45:36,080 --> 00:45:39,239 Speaker 1: it comes to a new ad with Sydney Sweeney for 846 00:45:40,040 --> 00:45:43,000 Speaker 1: eight for jenes or for a clothing company American Eagle. 847 00:45:44,160 --> 00:45:47,400 Speaker 12: I'm not surprised at all at the outrage in the backlash. 848 00:45:47,480 --> 00:45:50,080 Speaker 12: This is what the left does when they know they've lost, 849 00:45:50,160 --> 00:45:53,600 Speaker 12: all right, They've lost the culture war. Woke is dead, 850 00:45:53,920 --> 00:45:56,239 Speaker 12: and they are lashing out, and the charge is being 851 00:45:56,320 --> 00:46:01,400 Speaker 12: led by objectively mediocre to less attract it liberal white women. 852 00:46:01,800 --> 00:46:03,920 Speaker 12: And that usually seems to be the case for all 853 00:46:03,960 --> 00:46:06,680 Speaker 12: the things that they complain about. It's led by liberal 854 00:46:06,680 --> 00:46:10,040 Speaker 12: white women. But especially when you have a hot girl 855 00:46:10,160 --> 00:46:12,839 Speaker 12: in an ad that really brings out the sayings, that 856 00:46:12,840 --> 00:46:15,279 Speaker 12: brings out the clause. I'm not surprised at all. 857 00:46:15,880 --> 00:46:19,920 Speaker 3: Okay, I am stunned, honestly, Like I get because we 858 00:46:20,000 --> 00:46:24,319 Speaker 3: hear so much about Democrats recognizing that they have lost men. 859 00:46:25,040 --> 00:46:28,480 Speaker 3: I would say that overwhelmingly, the one thing that unites 860 00:46:28,560 --> 00:46:32,960 Speaker 3: men is an appreciation for pretty girls heterosexual men anyway, 861 00:46:33,000 --> 00:46:34,799 Speaker 3: which I understand there may not be very many in 862 00:46:34,840 --> 00:46:38,040 Speaker 3: the Democrat Party already. But if you're trying to just 863 00:46:38,160 --> 00:46:42,640 Speaker 3: be normal and just be saying, complaining that an attractive 864 00:46:42,680 --> 00:46:45,839 Speaker 3: person is used to sell clothes and trying to say 865 00:46:45,880 --> 00:46:50,480 Speaker 3: it's like being a Nazi is next level crazy even 866 00:46:50,719 --> 00:46:54,040 Speaker 3: for them. So you expected that when you saw this 867 00:46:54,120 --> 00:46:56,560 Speaker 3: Sydney sweeneyad, you were like, oh, left wingers are going 868 00:46:56,600 --> 00:46:57,279 Speaker 3: to lose their mind. 869 00:46:57,280 --> 00:46:57,720 Speaker 2: Tommy. 870 00:46:58,040 --> 00:47:03,200 Speaker 3: The Atlantic has an article saying liking boobs is now conservative. 871 00:47:03,800 --> 00:47:06,960 Speaker 3: This is a legitimate article that is up in that magazine. 872 00:47:08,000 --> 00:47:10,839 Speaker 12: We may never lose an election again at this rate, 873 00:47:10,920 --> 00:47:13,400 Speaker 12: which is fine if they want to freak out over it. 874 00:47:13,440 --> 00:47:16,319 Speaker 12: But no, I'm not surprised at all. Because the left 875 00:47:16,360 --> 00:47:19,239 Speaker 12: of the Democrat Party has been completely captured by the 876 00:47:19,280 --> 00:47:22,600 Speaker 12: activists and the woke class. They won't give any of 877 00:47:22,600 --> 00:47:24,560 Speaker 12: these things up. They still go hard for kil mar 878 00:47:24,600 --> 00:47:27,800 Speaker 12: Abrego Garcia. They go hard for men and women's sports. 879 00:47:28,080 --> 00:47:30,680 Speaker 12: There is not a dumb hill that they will not 880 00:47:30,920 --> 00:47:33,400 Speaker 12: continue to die on. They love this kind of stuff. 881 00:47:33,600 --> 00:47:35,640 Speaker 12: I don't know who they're listening to. They're not listening 882 00:47:35,640 --> 00:47:38,319 Speaker 12: to you guys. They're not listening to young men or 883 00:47:38,360 --> 00:47:42,200 Speaker 12: even attractive young women. They're completely captured by the green 884 00:47:42,280 --> 00:47:45,839 Speaker 12: hairs with gauges and septum piercings. That's who they think 885 00:47:45,960 --> 00:47:48,680 Speaker 12: makes up the majority of this country, and they want 886 00:47:48,680 --> 00:47:50,840 Speaker 12: to make them happy at all costs. 887 00:47:51,360 --> 00:47:51,640 Speaker 2: Tommy. 888 00:47:51,680 --> 00:47:53,200 Speaker 1: You know, whenever I do a live event, if a 889 00:47:53,239 --> 00:47:56,920 Speaker 1: woman under thirty five approaches to take a photo or 890 00:47:57,000 --> 00:47:59,800 Speaker 1: to say hi or something, generally she says do you know, Tommy, 891 00:48:00,360 --> 00:48:02,400 Speaker 1: and gets very excited when I say yes, So you 892 00:48:02,440 --> 00:48:06,440 Speaker 1: certainly you certainly have your figure on the pulse of 893 00:48:06,480 --> 00:48:10,360 Speaker 1: the conservative youth in this country. And I'm wondering the 894 00:48:10,440 --> 00:48:13,040 Speaker 1: vibe shift, as they would say, in the culture. Where 895 00:48:13,080 --> 00:48:15,960 Speaker 1: are the biggest places you are seeing it? Like, what 896 00:48:16,080 --> 00:48:18,000 Speaker 1: are the things that you're seeing now that give you 897 00:48:18,200 --> 00:48:21,200 Speaker 1: hope that the opposite of what we see with the 898 00:48:21,200 --> 00:48:25,440 Speaker 1: Sydney Sweeney phenomenon is really taking root, that essentially that 899 00:48:25,480 --> 00:48:30,080 Speaker 1: insanity is fading and culture is coming back in a 900 00:48:30,120 --> 00:48:31,759 Speaker 1: way that we can all be proud of. 901 00:48:32,840 --> 00:48:36,400 Speaker 12: Well, normalcy is coming back. People have realized, especially young people, 902 00:48:36,440 --> 00:48:39,319 Speaker 12: they've realized that no, they do want to be attractive, 903 00:48:39,360 --> 00:48:41,239 Speaker 12: and they do want to be healthy, and they want 904 00:48:41,239 --> 00:48:43,560 Speaker 12: to be normal and they want to interact with people. 905 00:48:43,840 --> 00:48:45,920 Speaker 12: Things go in cycles, of course, and it's not just 906 00:48:46,000 --> 00:48:48,400 Speaker 12: fashion and style. But I will say the fashion in 907 00:48:48,440 --> 00:48:50,680 Speaker 12: the style right now is kind of going back to 908 00:48:50,719 --> 00:48:53,920 Speaker 12: the early two thousands. That's what's popular with gen Z. 909 00:48:54,320 --> 00:48:57,239 Speaker 12: They're resurrecting all the old clothes that I wore when 910 00:48:57,280 --> 00:48:59,399 Speaker 12: I was in the fifth grade, and they think that's new. 911 00:49:00,200 --> 00:49:03,000 Speaker 12: Fine with me, because so has the normalcy. It's like, yes, no, 912 00:49:03,080 --> 00:49:05,640 Speaker 12: we want to look good. No, we want to be normal. 913 00:49:05,800 --> 00:49:07,480 Speaker 12: We want to talk to people. We don't want to 914 00:49:07,520 --> 00:49:10,080 Speaker 12: have the color of hair of a green poison frog. 915 00:49:10,400 --> 00:49:12,640 Speaker 12: We just want to be normal. So I think that 916 00:49:12,680 --> 00:49:16,120 Speaker 12: you're still going to have the minority that's very loud 917 00:49:16,600 --> 00:49:18,920 Speaker 12: out there, and then of course on TikTok and voting 918 00:49:18,960 --> 00:49:21,880 Speaker 12: for socialists. But those people live in deep blue cities 919 00:49:21,960 --> 00:49:24,800 Speaker 12: like New York City or Los Angeles. They don't live 920 00:49:24,920 --> 00:49:28,000 Speaker 12: in Tennessee, they don't live in Miami. There are normal 921 00:49:28,040 --> 00:49:30,839 Speaker 12: people in those normal places, and I think they're taking over. 922 00:49:31,600 --> 00:49:35,759 Speaker 3: Okay, A secondary part of this is the idea, and 923 00:49:35,840 --> 00:49:38,400 Speaker 3: I know you saw the Good Morning America report, So 924 00:49:38,480 --> 00:49:42,439 Speaker 3: this is not some crazy left wing report in theory. Right, 925 00:49:42,480 --> 00:49:46,240 Speaker 3: You're sitting most people eating their cereal watching Good Morning 926 00:49:46,239 --> 00:49:50,120 Speaker 3: America today show. Good Morning America has on a report 927 00:49:50,239 --> 00:49:53,960 Speaker 3: that this is code for Nazism because you have a 928 00:49:54,000 --> 00:49:57,760 Speaker 3: blonde hair, blue eyed woman that is in this ad. 929 00:49:58,880 --> 00:50:01,440 Speaker 3: How do we and I do think this is significant 930 00:50:01,440 --> 00:50:04,040 Speaker 3: because I think you kind of have hammered this. How 931 00:50:04,080 --> 00:50:08,480 Speaker 3: do we get back to treating all races equally and 932 00:50:08,600 --> 00:50:12,800 Speaker 3: not being able to just say basically, white people are evil, 933 00:50:12,840 --> 00:50:16,320 Speaker 3: which is the code of calling anything white related Nazi 934 00:50:16,800 --> 00:50:17,840 Speaker 3: in relation? 935 00:50:18,000 --> 00:50:19,479 Speaker 2: Right, what's going on here? 936 00:50:20,360 --> 00:50:22,880 Speaker 12: Well, first of all, you need to stop apologizing for 937 00:50:22,960 --> 00:50:25,680 Speaker 12: being white. And so the more that people say, hey, listen, 938 00:50:25,840 --> 00:50:27,640 Speaker 12: I'm not going to apologize to you because of the 939 00:50:27,640 --> 00:50:29,759 Speaker 12: color of my skin. I don't expect you to do that. 940 00:50:29,840 --> 00:50:32,319 Speaker 12: I'm not going to do that, then we go back 941 00:50:32,320 --> 00:50:33,719 Speaker 12: to some level of normalcy. 942 00:50:33,760 --> 00:50:33,960 Speaker 11: Hair. 943 00:50:34,000 --> 00:50:36,720 Speaker 12: But that Good Morning America clip they had on an expert, 944 00:50:36,760 --> 00:50:38,600 Speaker 12: of course, a professor, and I know you saw it, 945 00:50:38,640 --> 00:50:41,040 Speaker 12: klay Case, you tweeted it out. But the professor that 946 00:50:41,080 --> 00:50:44,759 Speaker 12: they had on, ironically was a white woman who had 947 00:50:44,800 --> 00:50:48,200 Speaker 12: blonde hair. But there was an X factor. She was 948 00:50:48,239 --> 00:50:51,880 Speaker 12: also objective, objectively not attractive. So there you have it. 949 00:50:52,440 --> 00:50:55,719 Speaker 12: That is what who that is who is driving this primarily, 950 00:50:55,760 --> 00:50:57,759 Speaker 12: and then all the other people who maybe are not 951 00:50:57,920 --> 00:51:01,640 Speaker 12: white liberal women that are upset, they were told to 952 00:51:01,680 --> 00:51:05,719 Speaker 12: be upset by ugly white liberal women, and that who 953 00:51:05,880 --> 00:51:08,040 Speaker 12: is who is leading this And it comes from a 954 00:51:08,040 --> 00:51:11,000 Speaker 12: place of jealousy. It comes from a place of deep 955 00:51:11,040 --> 00:51:13,880 Speaker 12: insecurity that they have to project and then they have 956 00:51:14,000 --> 00:51:16,800 Speaker 12: to call it like academics or the study of history. 957 00:51:17,000 --> 00:51:19,359 Speaker 12: But really it's self loathing. That's what it is. 958 00:51:20,040 --> 00:51:20,360 Speaker 2: Tommy. 959 00:51:20,400 --> 00:51:22,879 Speaker 1: Everybody can find you on Fox News. You're on all 960 00:51:22,920 --> 00:51:25,600 Speaker 1: the time. But digital side, where can they go to 961 00:51:25,640 --> 00:51:26,280 Speaker 1: see your show? 962 00:51:27,160 --> 00:51:30,600 Speaker 12: Oukick dot com Live Monday through Friday, one pm Eastern. 963 00:51:30,640 --> 00:51:32,239 Speaker 12: And in a few minutes here I'm going to pop 964 00:51:32,280 --> 00:51:34,879 Speaker 12: on the story on Fox News. We're going to talk 965 00:51:34,920 --> 00:51:38,400 Speaker 12: about Mom Donnie. So never at the moment, Thank you guys. 966 00:51:38,160 --> 00:51:38,800 Speaker 2: For having Tommy. 967 00:51:39,320 --> 00:51:41,759 Speaker 1: Yeah, of course, thanks Tommy, the commie mom Donnie trying 968 00:51:41,800 --> 00:51:45,160 Speaker 1: to ruin my hometown. Thanks Tommy. You know, Clay, it 969 00:51:45,239 --> 00:51:48,240 Speaker 1: is it is remarkable that at this stage of the game, 970 00:51:48,960 --> 00:51:57,520 Speaker 1: the corrective mechanisms that I thought were rusty, uh, maybe malfunctioning, 971 00:51:57,640 --> 00:52:02,279 Speaker 1: but still somewhat present within the Democrat machinery that they 972 00:52:02,320 --> 00:52:08,640 Speaker 1: don't seem it's not working. They're going crazier in areas 973 00:52:08,840 --> 00:52:12,000 Speaker 1: where it's costing them politically. That's the Usually what they 974 00:52:12,000 --> 00:52:14,839 Speaker 1: do is they're insane, but they hide it and they 975 00:52:14,880 --> 00:52:18,160 Speaker 1: pretend and they prevaricate, and they do this halfway thing. 976 00:52:18,239 --> 00:52:21,239 Speaker 1: Right That was Joe Biden's whole game. I'm good old Joe, 977 00:52:21,280 --> 00:52:23,520 Speaker 1: the true true writing, you know, you can trust me, 978 00:52:23,600 --> 00:52:26,200 Speaker 1: and then he would just let far left wing governance, 979 00:52:26,480 --> 00:52:28,000 Speaker 1: you know, the auto pen everything else. 980 00:52:28,719 --> 00:52:30,840 Speaker 2: Democrats are doing crazy stuff right now. 981 00:52:31,080 --> 00:52:35,040 Speaker 1: Like a normal, well adjusted person sees how they're responding 982 00:52:35,040 --> 00:52:39,000 Speaker 1: to the Sydney sweeneyad and thinks Democrats are neither normal 983 00:52:39,239 --> 00:52:40,200 Speaker 1: nor well adjusted. 984 00:52:40,840 --> 00:52:43,280 Speaker 3: Well, and I think this is the challenge. And Tommy 985 00:52:43,360 --> 00:52:46,719 Speaker 3: kind of hit on this in general. But if you 986 00:52:46,840 --> 00:52:50,080 Speaker 3: are trying to appeal to men, and this is I understand, 987 00:52:50,120 --> 00:52:54,920 Speaker 3: some of you are super in the weeds on policy 988 00:52:55,000 --> 00:52:57,640 Speaker 3: related issues, and we have some of those conversations. We 989 00:52:57,719 --> 00:53:00,439 Speaker 3: just had Senator Mike Leon to talk about why there's 990 00:53:00,440 --> 00:53:02,520 Speaker 3: a logjam in the Senate with one hundred and thirty 991 00:53:02,560 --> 00:53:07,200 Speaker 3: five different nominees going forward. Most people have no idea 992 00:53:07,280 --> 00:53:10,320 Speaker 3: that's going on right. Most people don't understand how Senate 993 00:53:10,320 --> 00:53:13,480 Speaker 3: confirmation works. They don't understand how a judge gets appointed. 994 00:53:14,160 --> 00:53:16,600 Speaker 3: They're just normal. And that's why I think that Good 995 00:53:16,680 --> 00:53:21,480 Speaker 3: Morning America segment is important because you're, you know, mom 996 00:53:21,520 --> 00:53:23,600 Speaker 3: and dad trying to get the kid ready for camp 997 00:53:23,680 --> 00:53:26,280 Speaker 3: or kid ready for school or whatever it is. PLoP 998 00:53:26,320 --> 00:53:28,560 Speaker 3: them down in front of it. You're eating cereal, you're 999 00:53:28,640 --> 00:53:31,480 Speaker 3: rushing through the morning, and suddenly you see a pretty 1000 00:53:31,480 --> 00:53:34,520 Speaker 3: girl in an ad for a Jens company, and you 1001 00:53:34,600 --> 00:53:37,960 Speaker 3: have an expert on saying it it is coding Nazism. 1002 00:53:38,040 --> 00:53:39,640 Speaker 3: I mean, we've got a story up at out kick 1003 00:53:39,719 --> 00:53:43,680 Speaker 3: right now. One of ESPN's employees said, and I want 1004 00:53:43,680 --> 00:53:45,440 Speaker 3: to make sure I get this quote right because I 1005 00:53:45,480 --> 00:53:48,200 Speaker 3: couldn't quite believe that this was even real. This is 1006 00:53:48,239 --> 00:53:52,279 Speaker 3: somebody who talks about sports for a living. Buck, an 1007 00:53:52,520 --> 00:53:56,240 Speaker 3: ESPN writer said, the New Sydney Sweeney American Eagle ad 1008 00:53:56,320 --> 00:54:01,759 Speaker 3: left him mortified. You work in sports and you go 1009 00:54:01,920 --> 00:54:07,480 Speaker 3: on social media and say because a girl, attractive girl 1010 00:54:07,560 --> 00:54:14,280 Speaker 3: in jeans left you mortified. The Atlantic says that Americans 1011 00:54:14,880 --> 00:54:18,200 Speaker 3: liking boobs is now trending. 1012 00:54:18,320 --> 00:54:22,320 Speaker 1: Conservative people are going to think I'm kidding. I'm not kidding, Okay. 1013 00:54:22,640 --> 00:54:25,560 Speaker 1: I think if you did a macro level study of 1014 00:54:26,120 --> 00:54:30,640 Speaker 1: male politics in America, you would find it's not this is, 1015 00:54:31,200 --> 00:54:34,279 Speaker 1: you know, a generalization, this is about the average. I 1016 00:54:34,320 --> 00:54:38,120 Speaker 1: think you would find that men of deficient and medically 1017 00:54:38,480 --> 00:54:43,200 Speaker 1: low testosterone overwhelmingly are far left wing in their politics. 1018 00:54:43,320 --> 00:54:45,840 Speaker 1: I think you've seen. I think it is absolutely, I 1019 00:54:45,880 --> 00:54:48,280 Speaker 1: think it is real. I think somebody should do the study. 1020 00:54:48,360 --> 00:54:50,840 Speaker 1: I'm not kidding. I think if you're you know, it 1021 00:54:50,840 --> 00:54:52,480 Speaker 1: depends on what your age level is, right, But if 1022 00:54:52,520 --> 00:54:54,920 Speaker 1: you're a guy in your in your like thirties forties, 1023 00:54:55,360 --> 00:54:57,680 Speaker 1: and then you can get into like nanogram per deca 1024 00:54:57,760 --> 00:54:59,640 Speaker 1: leader and all this stuff. You know, if your number 1025 00:54:59,680 --> 00:55:03,880 Speaker 1: is like below three hundred, you're voting Democrat. You're absolutely 1026 00:55:03,920 --> 00:55:04,640 Speaker 1: voting Democrat. 1027 00:55:05,440 --> 00:55:07,840 Speaker 3: And look, I mean age can factor in because obviously 1028 00:55:07,920 --> 00:55:10,440 Speaker 3: if you're listening to us and you're eighty, naturally you're 1029 00:55:10,520 --> 00:55:12,600 Speaker 3: test different. But I'm saying, if you're a guy thirty 1030 00:55:12,640 --> 00:55:16,040 Speaker 3: to fifty you have a medically deficient or close to 1031 00:55:16,120 --> 00:55:19,440 Speaker 3: a testosterone level and left wing politics, there's a very 1032 00:55:19,480 --> 00:55:20,280 Speaker 3: clear correlation. 1033 00:55:20,320 --> 00:55:21,560 Speaker 1: I think you'd find well. 1034 00:55:21,640 --> 00:55:23,279 Speaker 2: And this is where for what I do. 1035 00:55:23,520 --> 00:55:25,759 Speaker 3: I feel like I can sit down and talk to 1036 00:55:25,840 --> 00:55:28,680 Speaker 3: any guy in America and they may not agree with 1037 00:55:28,719 --> 00:55:31,239 Speaker 3: me on tax policy, they may not agree with me 1038 00:55:31,320 --> 00:55:36,279 Speaker 3: on judicial nominees. But we can connect on sports. We 1039 00:55:36,360 --> 00:55:41,080 Speaker 3: can connect on having an appreciation for attractive women, sometimes 1040 00:55:41,160 --> 00:55:44,680 Speaker 3: enjoying it, enjoying an adult beverage. Democrats have lost the 1041 00:55:44,719 --> 00:55:46,680 Speaker 3: ability to talk to these people. And I don't know 1042 00:55:46,680 --> 00:55:49,440 Speaker 3: if you saw this Eric Swalwell, you know he put 1043 00:55:49,480 --> 00:55:51,960 Speaker 3: up the video. They're trying to do gem ads and 1044 00:55:52,120 --> 00:55:56,360 Speaker 3: show themselves doing things. He challenged Greg Guttfeld to a 1045 00:55:56,400 --> 00:55:59,799 Speaker 3: bench press contest and said if Guttfeld beats him that 1046 00:55:59,840 --> 00:56:03,280 Speaker 3: he will withdraw from Congress. I just took the bet. 1047 00:56:03,840 --> 00:56:06,960 Speaker 3: I said, I will no longer do Fox News. If 1048 00:56:07,920 --> 00:56:12,080 Speaker 3: Eric Swalwell can out bench press me, I will stop 1049 00:56:12,160 --> 00:56:15,839 Speaker 3: doing Fox News, hits an alternative. If I out bench 1050 00:56:15,960 --> 00:56:18,759 Speaker 3: press him, he has to drop out of Congress. Do 1051 00:56:18,840 --> 00:56:20,759 Speaker 3: you think he will take my bet? I bet not. 1052 00:56:21,560 --> 00:56:27,160 Speaker 3: But I think this is a cultural issue, and again 1053 00:56:27,520 --> 00:56:30,239 Speaker 3: the politics being downstream from cultures one hundred percent. 1054 00:56:30,320 --> 00:56:33,160 Speaker 2: Right. Guys now use being. 1055 00:56:32,920 --> 00:56:37,359 Speaker 3: A Democrat as an insult. They basically say, oh, you're 1056 00:56:37,480 --> 00:56:41,120 Speaker 3: you're a Democrat. You voted for Kamala. Younger men, that 1057 00:56:41,280 --> 00:56:42,920 Speaker 3: is one of the top insults you could be. When 1058 00:56:42,960 --> 00:56:45,960 Speaker 3: we were at that game between Georgia and Alabama last 1059 00:56:46,040 --> 00:56:49,319 Speaker 3: year at the Alabama frat houses, they had banners hanging 1060 00:56:49,360 --> 00:56:53,759 Speaker 3: outside saying Georgia fans vote for Kamala, Like this is 1061 00:56:53,800 --> 00:56:57,200 Speaker 3: how much of an insult for young men even being 1062 00:56:57,239 --> 00:56:58,279 Speaker 3: a Democrat is. 1063 00:56:58,640 --> 00:57:01,000 Speaker 1: This reminds me of when I was when I was 1064 00:57:01,000 --> 00:57:03,800 Speaker 1: single in New York City and would come across women 1065 00:57:03,920 --> 00:57:08,160 Speaker 1: who worked in the performing arts. Dancers, not that kind 1066 00:57:08,160 --> 00:57:11,480 Speaker 1: of dancer clay, but you know, they would do things 1067 00:57:11,560 --> 00:57:14,560 Speaker 1: like Broadway and they're Broadway is maybe the most left 1068 00:57:14,600 --> 00:57:18,040 Speaker 1: wing thing in existence. I mean Broadway is They're more 1069 00:57:18,120 --> 00:57:21,640 Speaker 1: left wing than the Marxist professors at like Berkeley. 1070 00:57:21,640 --> 00:57:22,840 Speaker 2: I mean, it's just crazy town. 1071 00:57:23,640 --> 00:57:26,160 Speaker 1: But they would sometimes these women that I would come across, 1072 00:57:26,200 --> 00:57:30,240 Speaker 1: maybe on dates, would complain about men in the city. 1073 00:57:30,640 --> 00:57:33,480 Speaker 1: And it's because they were searching for men who basically 1074 00:57:33,520 --> 00:57:35,320 Speaker 1: act like women. And then they wonder why they're so 1075 00:57:35,400 --> 00:57:38,720 Speaker 1: unhappy the the you know, the so called male feminist 1076 00:57:38,800 --> 00:57:41,320 Speaker 1: you know who announces this on the first date that's 1077 00:57:41,320 --> 00:57:44,960 Speaker 1: actually not that this goes against our biology as a 1078 00:57:45,520 --> 00:57:47,520 Speaker 1: human species. It doesn't make any sense. 1079 00:57:48,040 --> 00:57:52,320 Speaker 3: And also women, women just know this is true. If 1080 00:57:52,360 --> 00:57:56,080 Speaker 3: a man claims to be a feminist, run from him 1081 00:57:56,120 --> 00:57:59,560 Speaker 3: in the opposite direction as fast as you can. First 1082 00:57:59,600 --> 00:58:03,000 Speaker 3: of all, they almost never believe it. Secondly, they think 1083 00:58:03,040 --> 00:58:05,840 Speaker 3: the only way they can get you is by claiming 1084 00:58:05,880 --> 00:58:09,000 Speaker 3: to be male feminists. I'm telling you run in the 1085 00:58:09,040 --> 00:58:12,320 Speaker 3: opposite direction from these people. You cannot trust them. I 1086 00:58:12,360 --> 00:58:14,200 Speaker 3: think a lot of women out there know exactly what 1087 00:58:14,240 --> 00:58:17,480 Speaker 3: I'm talking about. That is, if that is one of 1088 00:58:17,520 --> 00:58:19,800 Speaker 3: your leads. When you go to a date, guy sits 1089 00:58:19,840 --> 00:58:21,880 Speaker 3: down like, oh, I'm a male feminist, just be like 1090 00:58:22,120 --> 00:58:24,520 Speaker 3: check police and leave it with him and get up 1091 00:58:24,520 --> 00:58:26,919 Speaker 3: and leave. He probably doesn't have the money to pay 1092 00:58:26,920 --> 00:58:28,760 Speaker 3: for it. By the way, it's hard for us to 1093 00:58:28,880 --> 00:58:31,800 Speaker 3: imagine living in places where bomb shelters are as common 1094 00:58:31,800 --> 00:58:34,080 Speaker 3: as gas stations or coffee shops. That's what it's like 1095 00:58:34,160 --> 00:58:36,760 Speaker 3: in Israel. I was over there in December. I saw 1096 00:58:36,800 --> 00:58:40,440 Speaker 3: the importance of these shelters and of how much difference 1097 00:58:40,560 --> 00:58:43,480 Speaker 3: just having a bomb shelter can make. And that is 1098 00:58:43,480 --> 00:58:46,880 Speaker 3: what the International Fellowship of Christians and Jews does they 1099 00:58:46,920 --> 00:58:51,960 Speaker 3: build bomb shelters, they build protective devices on cars for 1100 00:58:52,080 --> 00:58:54,680 Speaker 3: first responders. They help to take care of people that 1101 00:58:54,720 --> 00:58:57,480 Speaker 3: otherwise can't take care of themselves in a time of 1102 00:58:57,520 --> 00:59:01,440 Speaker 3: perpetual war. As we talked about it earlier New York Times, 1103 00:59:01,440 --> 00:59:04,840 Speaker 3: spreading lies with a picture of a kid that wasn't 1104 00:59:04,880 --> 00:59:08,560 Speaker 3: actually being malnourished and trying to blame Israel for the 1105 00:59:08,600 --> 00:59:12,760 Speaker 3: situation in Gaza. You need and can help to make 1106 00:59:12,800 --> 00:59:15,680 Speaker 3: a difference in the Holy Land by reaching out and 1107 00:59:15,760 --> 00:59:18,280 Speaker 3: making a gift. You can call eight eight eight four 1108 00:59:18,360 --> 00:59:23,600 Speaker 3: eight eight IFCJ. That's eight eight eight four eight eight IFCJ. 1109 00:59:23,840 --> 00:59:28,520 Speaker 3: You can also go online at IFCJ dot org. That's 1110 00:59:28,640 --> 00:59:30,800 Speaker 3: IFCJ dot org. 1111 00:59:32,400 --> 00:59:35,840 Speaker 10: Cheep up with the biggest political comeback in world history 1112 00:59:35,920 --> 00:59:39,800 Speaker 10: on the Team forty seven podcast, playin Book, Highlight Trump 1113 00:59:39,840 --> 00:59:40,800 Speaker 10: Free plays from the. 1114 00:59:40,800 --> 00:59:42,640 Speaker 2: Week Sunday's at noon Eastern. 1115 00:59:42,720 --> 00:59:45,800 Speaker 7: Find it on the iHeartRadio app or wherever you get 1116 00:59:45,840 --> 00:59:46,760 Speaker 7: your podcasts.