1 00:00:00,080 --> 00:00:03,200 Speaker 1: Okay, as promised, I said, we're going to talk about 2 00:00:03,800 --> 00:00:07,880 Speaker 1: whether I said, we're going to talk about Republican the 3 00:00:07,920 --> 00:00:11,440 Speaker 1: Republican margin of victory in the state of Texas. This 4 00:00:11,520 --> 00:00:14,400 Speaker 1: is Steve Toe talking to Tucker cross and about his 5 00:00:14,600 --> 00:00:20,080 Speaker 1: race against Dan Crenshaw. And I think he makes some 6 00:00:20,440 --> 00:00:25,560 Speaker 1: very very astute points and we'll just play it and 7 00:00:25,880 --> 00:00:30,400 Speaker 1: let it go from there. So in two thousand and 8 00:00:32,440 --> 00:00:37,160 Speaker 1: it was twenty fourteen when Abbott became governor, when Ken 9 00:00:37,200 --> 00:00:40,280 Speaker 1: Paxson became the attorney general, those guys won with twenty 10 00:00:40,320 --> 00:00:44,200 Speaker 1: three and twenty four point margins over the Democrats. We're 11 00:00:44,200 --> 00:00:48,360 Speaker 1: winning now with eight point margins. Where did the margin go? 12 00:00:49,280 --> 00:00:53,800 Speaker 1: Where did these huge wins go evaporate to? And it's 13 00:00:53,840 --> 00:00:56,800 Speaker 1: not people moving into Texas? Seven out of ten of them, 14 00:00:57,200 --> 00:01:00,279 Speaker 1: Tucker Texas has still read from people moving into it 15 00:01:01,600 --> 00:01:07,640 Speaker 1: Republicans that are refugees, if you will, We're losing it 16 00:01:07,640 --> 00:01:11,240 Speaker 1: as our children, our kids are our kids are being 17 00:01:11,360 --> 00:01:14,640 Speaker 1: absolutely indoctrinated in the classroom in immigration. 18 00:01:14,959 --> 00:01:16,080 Speaker 2: I grew up in California. 19 00:01:16,080 --> 00:01:18,639 Speaker 3: I was at Reagan's last rally in California in nineteen 20 00:01:18,680 --> 00:01:20,400 Speaker 3: eighty and it was a right wing state. 21 00:01:20,480 --> 00:01:22,640 Speaker 2: It was California was a bill. 22 00:01:22,680 --> 00:01:26,320 Speaker 3: Clinton lost California in nineteen ninety two and one West 23 00:01:26,360 --> 00:01:30,679 Speaker 3: Virginia in nineteen ninety two. So like people, and now 24 00:01:30,760 --> 00:01:35,399 Speaker 3: California is of course bright blue and West Virginia is 25 00:01:35,440 --> 00:01:35,920 Speaker 3: bright red. 26 00:01:35,959 --> 00:01:36,440 Speaker 2: Why is that? 27 00:01:36,560 --> 00:01:39,640 Speaker 3: Because California is a completely different state, Dude, immigration and 28 00:01:39,680 --> 00:01:41,959 Speaker 3: West Virginia has had less immigration than the other state. 29 00:01:42,040 --> 00:01:42,240 Speaker 4: Yeah. 30 00:01:43,319 --> 00:01:46,319 Speaker 2: The big problem though, is that. 31 00:01:47,800 --> 00:01:51,240 Speaker 5: Politicians like Dan Crenshaw refused to take on the teachers unions. 32 00:01:51,760 --> 00:01:54,520 Speaker 5: They refused to stand up to the teachers unions. Why 33 00:01:55,160 --> 00:01:58,960 Speaker 5: they're afraid of them? They spent tons of money and 34 00:01:59,120 --> 00:02:03,480 Speaker 5: Ranny went wind oar and her in her ilk scare 35 00:02:03,480 --> 00:02:08,120 Speaker 5: the heck out of these people. So Crenshaw is afraid, Sueeze. 36 00:02:08,160 --> 00:02:09,680 Speaker 5: I mean, it's the only thing I get. You can't 37 00:02:10,800 --> 00:02:13,880 Speaker 5: there's been zero activism on his part whatsoever. 38 00:02:15,440 --> 00:02:16,960 Speaker 2: It's standing up to these people. 39 00:02:18,360 --> 00:02:22,680 Speaker 1: Next, we've got the issue of why does Dan Crenshaw 40 00:02:24,520 --> 00:02:29,639 Speaker 1: take up advocacy of Ukraine to a much deeper level 41 00:02:30,639 --> 00:02:36,680 Speaker 1: than he does our own country? Isn't that odd? And 42 00:02:37,320 --> 00:02:42,239 Speaker 1: the question here is raised is he getting paid for it? Well, listen, 43 00:02:42,960 --> 00:02:45,840 Speaker 1: I'm sure Dan Crenshaw wouldn't appreciate that question being raised, 44 00:02:47,280 --> 00:02:50,040 Speaker 1: but I think we should raise the question every time 45 00:02:51,200 --> 00:02:54,880 Speaker 1: there is money, American money flowing to foreign countries that 46 00:02:54,960 --> 00:02:57,840 Speaker 1: our people are arguing so hard for our money to 47 00:02:57,880 --> 00:03:01,600 Speaker 1: be sent there, because guess what you work for us. 48 00:03:03,040 --> 00:03:05,960 Speaker 3: You hate ever to suggest that someone's doing something for 49 00:03:06,000 --> 00:03:11,000 Speaker 3: the money, right, But in Crenshaw's case, like his position 50 00:03:11,080 --> 00:03:15,920 Speaker 3: on Ukraine is so far how that it's obvious to 51 00:03:15,960 --> 00:03:18,960 Speaker 3: me he's being paid to have that position. But you 52 00:03:19,080 --> 00:03:23,200 Speaker 3: tell me, is sending one hundred billion more to Ukraine 53 00:03:23,639 --> 00:03:26,760 Speaker 3: or Ukraine's borders or these like really huge issues in 54 00:03:26,800 --> 00:03:29,760 Speaker 3: your district. It's the border is the biggest issue, the 55 00:03:29,840 --> 00:03:34,880 Speaker 3: US border, the US border, And when you ask people, 56 00:03:35,120 --> 00:03:39,120 Speaker 3: and this is not anecdotalist, empirical, there have been plenty 57 00:03:39,160 --> 00:03:42,680 Speaker 3: of people pulling in congressional district too. In Montgomery County, 58 00:03:42,960 --> 00:03:46,040 Speaker 3: why because it's the biggest red county left in Texas. 59 00:03:46,840 --> 00:03:49,120 Speaker 2: The governor pulls it, we pull it. Other people are 60 00:03:49,120 --> 00:03:49,640 Speaker 2: pulling it. 61 00:03:50,360 --> 00:03:56,280 Speaker 5: And it's people see the contrast between the way Ukraine 62 00:03:56,480 --> 00:03:59,720 Speaker 5: is being taken care of in the Texas border is not, 63 00:04:00,600 --> 00:04:03,240 Speaker 5: and they draw contrasts, and they should. 64 00:04:03,880 --> 00:04:05,160 Speaker 2: It's kind of that simple, isn't it. 65 00:04:05,240 --> 00:04:09,440 Speaker 1: Yeah, Steve toath answering the question who among Texas elected 66 00:04:09,480 --> 00:04:14,200 Speaker 1: officials support Dan Crenshaw, You need to know who among 67 00:04:14,400 --> 00:04:16,360 Speaker 1: Texas elected official supports Crenshaw. 68 00:04:19,720 --> 00:04:22,480 Speaker 5: You know what's funny is when the day we announced, 69 00:04:22,880 --> 00:04:26,120 Speaker 5: we had I think thirty the most conservative members of 70 00:04:26,120 --> 00:04:29,760 Speaker 5: the Texas Legislature that endorsed me, and he came out 71 00:04:29,800 --> 00:04:33,240 Speaker 5: with a list of people to endorse him. Now, one 72 00:04:33,279 --> 00:04:37,520 Speaker 5: single member of Congress was bind him. No one really, 73 00:04:37,560 --> 00:04:40,960 Speaker 5: not one active congressman came out to endorse him. 74 00:04:42,080 --> 00:04:44,120 Speaker 3: Do you ever talk to members of Congress about him, 75 00:04:44,120 --> 00:04:47,839 Speaker 3: who worked with him? What do they say. I'm not 76 00:04:47,880 --> 00:04:49,839 Speaker 3: going to comment on that. I just yeah, I can't. 77 00:04:49,880 --> 00:04:52,400 Speaker 3: I just can't. Okay, I understand it. But it sounds 78 00:04:52,400 --> 00:04:54,400 Speaker 3: like he's not a favorite among his colleagues. 79 00:04:54,480 --> 00:04:56,920 Speaker 5: Yeah, so a lot of you know, I came in 80 00:04:57,200 --> 00:04:59,080 Speaker 5: when I came into the legislature, I came in with 81 00:04:59,120 --> 00:05:02,480 Speaker 5: one of the biggest class, and since the Sharptown scandal 82 00:05:03,920 --> 00:05:06,360 Speaker 5: in the seventies, I think there are forty two people 83 00:05:06,560 --> 00:05:08,279 Speaker 5: in our class, and many of them have gone on 84 00:05:08,680 --> 00:05:11,960 Speaker 5: to serve in Congress in Washington, and I have a 85 00:05:12,000 --> 00:05:15,640 Speaker 5: good relationship with all of them. Yeah, but Crenshaw doesn't 86 00:05:15,680 --> 00:05:19,479 Speaker 5: sound like he does. Is he close to Cornyn? You know, 87 00:05:19,560 --> 00:05:21,320 Speaker 5: I don't know if they have a relationship or not. 88 00:05:21,360 --> 00:05:23,880 Speaker 5: I know that Cornyan is supporting him for obvious reasons. 89 00:05:23,880 --> 00:05:27,120 Speaker 5: But that's what are those reasons? Well, just they're both 90 00:05:27,160 --> 00:05:32,800 Speaker 5: donor class lobbyist centric people. We're called representatives because we're 91 00:05:32,800 --> 00:05:35,839 Speaker 5: actually supposed to represent the people that vote us into office, 92 00:05:36,480 --> 00:05:39,480 Speaker 5: and they're just some that just don't give a flying 93 00:05:39,520 --> 00:05:41,200 Speaker 5: flip about Oh that's obvious. 94 00:05:41,520 --> 00:05:44,839 Speaker 2: Well, in Crenshaw's cases, clearly he's hosted for them. I 95 00:05:44,880 --> 00:05:47,400 Speaker 2: got myself. 96 00:05:47,279 --> 00:05:52,040 Speaker 1: Twice Michael Berry's look at me, man, Now I drive 97 00:05:52,400 --> 00:05:53,279 Speaker 1: the school books. 98 00:06:02,279 --> 00:06:05,120 Speaker 2: You could say, I'm just a good old boy. 99 00:06:06,400 --> 00:06:11,560 Speaker 6: It then the batter Country Friday, washed in the blood 100 00:06:11,600 --> 00:06:16,400 Speaker 6: and wrapped in calm, A flung, a staunch defender of 101 00:06:16,480 --> 00:06:22,440 Speaker 6: the ray Satin. I grew up accustomed to the rail flag, 102 00:06:23,760 --> 00:06:26,520 Speaker 6: under the shadow of the crawls. 103 00:06:27,960 --> 00:06:29,279 Speaker 2: Down weather colors. 104 00:06:29,400 --> 00:06:32,960 Speaker 6: Now them mixed to the way, and some folks are 105 00:06:33,000 --> 00:06:34,400 Speaker 6: steal mad because the sound. 106 00:06:34,520 --> 00:06:38,440 Speaker 1: This is Steve Toe answering Tucker Crossing about the video 107 00:06:39,400 --> 00:06:43,919 Speaker 1: of Dan Crenshaw's snapping at a young girl after she 108 00:06:44,279 --> 00:06:49,520 Speaker 1: asks about his comment about Jesus. This speaks to his 109 00:06:49,680 --> 00:06:55,920 Speaker 1: anger management issues. It also speaks to the idea of 110 00:06:56,000 --> 00:07:02,800 Speaker 1: his view of people. You're you're the plebes, you're the serfs, 111 00:07:02,839 --> 00:07:06,799 Speaker 1: you're the peasants. You shouldn't be asking me questions. I'm 112 00:07:06,880 --> 00:07:10,640 Speaker 1: the government. He has an arrogance about him that a 113 00:07:10,760 --> 00:07:14,400 Speaker 1: lot of people who know him, myself included, do not like. 114 00:07:15,160 --> 00:07:19,080 Speaker 3: So it's not just you that he's a snapdad for 115 00:07:19,160 --> 00:07:22,920 Speaker 3: asking a question. I want to play a video and 116 00:07:22,960 --> 00:07:26,480 Speaker 3: maybe you can explain what we're watching. A young girl 117 00:07:27,640 --> 00:07:30,400 Speaker 3: comes up to him, looks very young in the video 118 00:07:30,760 --> 00:07:34,240 Speaker 3: and asks him about comments that he made about Jesus 119 00:07:35,480 --> 00:07:38,800 Speaker 3: during a podcast before we play this, can you tell 120 00:07:38,880 --> 00:07:40,560 Speaker 3: us with the backstory? 121 00:07:41,000 --> 00:07:46,080 Speaker 5: So he was on a podcast and Dan wants to 122 00:07:46,080 --> 00:07:51,680 Speaker 5: show himself off as this intellectual. Dan's dumb. No a fact, 123 00:07:51,840 --> 00:07:52,520 Speaker 5: I'm not being mean. 124 00:07:52,800 --> 00:07:54,840 Speaker 3: By the way, my dogs are dombini and I think 125 00:07:54,840 --> 00:07:56,760 Speaker 3: they're going to have and I have known. I don't 126 00:07:56,760 --> 00:07:59,080 Speaker 3: think that's a moral category. I'm not attacking, but he 127 00:07:59,200 --> 00:08:04,240 Speaker 3: is dumb, like head injury dumb, and I don't anyway. 128 00:08:04,240 --> 00:08:05,400 Speaker 2: Sorry, sorry to be mean. 129 00:08:05,440 --> 00:08:09,640 Speaker 5: No, I think I actually think he's I'm going to 130 00:08:09,680 --> 00:08:13,560 Speaker 5: disagree with you. I think he's incredibly smart. I think 131 00:08:13,600 --> 00:08:16,920 Speaker 5: he's vacuous when it comes to wisdom, though maybe that's 132 00:08:16,920 --> 00:08:20,720 Speaker 5: what I'm referring to. Yeah, so I think he knows 133 00:08:20,760 --> 00:08:23,440 Speaker 5: a lot. And when I've sat and listened to some 134 00:08:23,520 --> 00:08:25,640 Speaker 5: of his podcasts and some of the different things, he's 135 00:08:25,640 --> 00:08:28,800 Speaker 5: a really smart guy, but he completely lacks the wisdom 136 00:08:29,240 --> 00:08:31,760 Speaker 5: to know what's to do with all those smarts. And 137 00:08:31,800 --> 00:08:36,840 Speaker 5: so he's doing this podcast with this guy and they're 138 00:08:36,880 --> 00:08:39,679 Speaker 5: talking about he brings up, well, the American people need 139 00:08:39,800 --> 00:08:44,400 Speaker 5: archetypes spider Man, Superman, and Jesus Christ. And he says, 140 00:08:44,400 --> 00:08:48,240 Speaker 5: and then real ones too, like Rosa Parks and Abraham Lincoln. 141 00:08:48,960 --> 00:08:54,840 Speaker 5: And they're like, what Jesus actually said, Jesus. Rosa Parks 142 00:08:54,920 --> 00:08:57,640 Speaker 5: is real, Jesus is not. Jesus is not. And so 143 00:08:57,720 --> 00:09:06,240 Speaker 5: this position, I guess probably I saw it on Wikipedia. 144 00:09:06,920 --> 00:09:10,720 Speaker 5: So this young woman at the Montgomery County tea party 145 00:09:11,240 --> 00:09:17,120 Speaker 5: on a Monday night asked Dan Crenshaw. She said, I'm 146 00:09:17,160 --> 00:09:19,200 Speaker 5: trying to get my arms around this, and then she 147 00:09:19,280 --> 00:09:22,520 Speaker 5: read the statement verbatim of what he had said on 148 00:09:22,559 --> 00:09:26,400 Speaker 5: this podcast, and he said, I can't get my arms 149 00:09:26,400 --> 00:09:28,880 Speaker 5: around that. And he said, you put a period after 150 00:09:29,000 --> 00:09:32,240 Speaker 5: Jesus and don't question my faith, and the whole place 151 00:09:32,360 --> 00:09:32,960 Speaker 5: just lost it. 152 00:09:33,320 --> 00:09:36,640 Speaker 2: So let's play that not only mind about. 153 00:09:36,480 --> 00:09:44,640 Speaker 7: Jesus about me to get anyone heard. Freshew said, quote, 154 00:09:44,920 --> 00:09:48,120 Speaker 7: the most important thing here is that we have the hero. 155 00:09:48,120 --> 00:09:49,560 Speaker 5: Archetypes that we look out to. 156 00:09:50,080 --> 00:09:53,280 Speaker 7: Jesus is a hero archetype of Superman is a hero archetype. 157 00:09:53,640 --> 00:09:57,680 Speaker 7: Greal characters too. I could name a thousand Rosa Parks 158 00:09:57,760 --> 00:10:03,360 Speaker 7: thrown and ready in quote, I'll help you put a 159 00:10:03,480 --> 00:10:06,280 Speaker 7: period of Jesus and no question my faith. 160 00:10:06,760 --> 00:10:08,240 Speaker 2: Wow. 161 00:10:10,800 --> 00:10:15,000 Speaker 3: So I think it's it's fair to you know, to 162 00:10:15,320 --> 00:10:17,600 Speaker 3: to not want to be attacked for your faith. Okay, 163 00:10:17,840 --> 00:10:21,720 Speaker 3: I'm with Crenshaw on that, but she wasn't really attacking 164 00:10:21,760 --> 00:10:22,240 Speaker 3: him on the say. 165 00:10:22,320 --> 00:10:24,040 Speaker 2: She was asking like, what do you want to clarity? 166 00:10:24,160 --> 00:10:24,560 Speaker 2: What do you mean? 167 00:10:24,640 --> 00:10:27,520 Speaker 5: Yeah, that was cli exactly like if you ever said anything, 168 00:10:27,559 --> 00:10:29,440 Speaker 5: You're like, I could have positioned that differently. 169 00:10:29,440 --> 00:10:30,240 Speaker 2: If I said. 170 00:10:32,880 --> 00:10:34,640 Speaker 5: I get asked that all the time, especially, I'll come 171 00:10:34,679 --> 00:10:36,280 Speaker 5: home my wife will be like, did you mean to 172 00:10:36,320 --> 00:10:36,679 Speaker 5: say that? 173 00:10:37,320 --> 00:10:38,400 Speaker 2: Okay? What should I have said? 174 00:10:38,640 --> 00:10:39,439 Speaker 4: Right? Right? 175 00:10:40,040 --> 00:10:42,880 Speaker 2: I'm like, okay, yes, honey, that makes sense. Right, But. 176 00:10:44,640 --> 00:10:46,920 Speaker 5: So you just say, Wow, I guess I could have 177 00:10:46,960 --> 00:10:49,600 Speaker 5: handled that different. I get That's not what I meant. 178 00:10:49,880 --> 00:10:51,920 Speaker 5: I would have put a period after Jesus, and then 179 00:10:51,920 --> 00:10:55,000 Speaker 5: I would have shut my mouth and laughed and laughed 180 00:10:55,040 --> 00:10:57,600 Speaker 5: at all totally. But instead he got all defensive at 181 00:10:57,600 --> 00:10:59,959 Speaker 5: this young woman and tried to ridicule her. 182 00:11:00,480 --> 00:11:02,720 Speaker 2: Oh, he attacked her instantly. 183 00:11:03,160 --> 00:11:07,120 Speaker 3: Yeah, what you're seeing on display there is a fragile, 184 00:11:08,200 --> 00:11:10,880 Speaker 3: very unhappy and above all hostile person. 185 00:11:11,600 --> 00:11:15,679 Speaker 1: Here is Steve Toath talking about the fact that, in 186 00:11:15,760 --> 00:11:21,160 Speaker 1: his mind Crenshaw lies about our intelligence agencies, that Democrats 187 00:11:21,200 --> 00:11:22,840 Speaker 1: created a fourth branch of government. 188 00:11:23,120 --> 00:11:25,760 Speaker 2: I'll tell you, before. 189 00:11:25,400 --> 00:11:32,520 Speaker 1: Twenty twenty, before Assange, before Snowden, before Comy, it was 190 00:11:32,640 --> 00:11:34,520 Speaker 1: hard to get people to listen to things like this. 191 00:11:34,520 --> 00:11:35,439 Speaker 2: This is cuckoo talk. 192 00:11:36,320 --> 00:11:39,160 Speaker 1: Now, all of a sudden you realize, wait a minute, 193 00:11:39,480 --> 00:11:42,880 Speaker 1: before you saw what they did to Trump. Wait a minute. 194 00:11:43,200 --> 00:11:46,200 Speaker 3: He was asked by reporter whom I respect for Liam 195 00:11:46,200 --> 00:11:51,520 Speaker 3: Cosgrove well, coming out of Congress. This was earlier, this 196 00:11:51,600 --> 00:11:54,600 Speaker 3: is the spring, early summer, and he was asked about 197 00:11:54,679 --> 00:11:58,640 Speaker 3: legislation that he had voted for, and basically his position 198 00:11:58,920 --> 00:12:04,040 Speaker 3: was he intell agencies are not in any way playing 199 00:12:04,040 --> 00:12:05,319 Speaker 3: in American politics. 200 00:12:06,360 --> 00:12:07,360 Speaker 2: Here's the exchange. 201 00:12:07,720 --> 00:12:10,560 Speaker 8: With data and with access to your you know bath 202 00:12:10,600 --> 00:12:15,320 Speaker 8: that you're addicted to, you can vastly manipulate an entire population, 203 00:12:15,360 --> 00:12:16,360 Speaker 8: which the Chinese have done. 204 00:12:16,880 --> 00:12:18,920 Speaker 9: Were you worried that our intelligence agencies are doing the 205 00:12:18,920 --> 00:12:20,120 Speaker 9: same thing domestically? 206 00:12:21,520 --> 00:12:24,160 Speaker 2: You might worry that, Well, I know that they're not. 207 00:12:24,760 --> 00:12:26,120 Speaker 2: They're not manipulating Americans. 208 00:12:26,160 --> 00:12:26,440 Speaker 10: They're not. 209 00:12:26,640 --> 00:12:28,920 Speaker 2: Yes, a flow of information. Yeah, did you have some 210 00:12:29,000 --> 00:12:32,280 Speaker 2: evidence otherwise that you'd like to share? I mean, okay, 211 00:12:32,360 --> 00:12:32,720 Speaker 2: before the. 212 00:12:33,360 --> 00:12:36,840 Speaker 9: Serious congressman you asked for an example of the US 213 00:12:36,880 --> 00:12:39,680 Speaker 9: intelligence agencies meddling in our information? What about before the 214 00:12:39,679 --> 00:12:43,920 Speaker 9: twenty twenty election, when fifty members came out and said 215 00:12:44,040 --> 00:12:45,880 Speaker 9: hunter byten laptop was Russian disinformation? 216 00:12:45,960 --> 00:12:48,720 Speaker 2: Does that count no? Because I mean they were, they 217 00:12:48,720 --> 00:12:51,040 Speaker 2: were retired, they were retired. 218 00:12:51,080 --> 00:12:54,600 Speaker 9: But the NBA, the FBI had the laptop progress even 219 00:12:54,679 --> 00:12:56,160 Speaker 9: close to a TikTok. 220 00:12:56,800 --> 00:12:56,959 Speaker 7: So. 221 00:12:58,520 --> 00:13:03,360 Speaker 3: That I felt Again, I've just spent the last half 222 00:13:03,400 --> 00:13:06,560 Speaker 3: an hour sort of defending Crenshaw in a backhanded way. 223 00:13:06,600 --> 00:13:10,560 Speaker 3: I think he's a victim of the war on tariff. 224 00:13:10,600 --> 00:13:12,960 Speaker 3: I'm being honest, that's what I think. He's clearly so 225 00:13:13,080 --> 00:13:15,440 Speaker 3: damaged and screwed up in tragic personal life and all 226 00:13:15,480 --> 00:13:18,960 Speaker 3: the rest. But when I saw that, I thought this 227 00:13:19,120 --> 00:13:22,320 Speaker 3: is not a good person. Actually, the most. 228 00:13:22,080 --> 00:13:26,040 Speaker 5: Egreesious thing about that is that as I talk to 229 00:13:26,320 --> 00:13:32,480 Speaker 5: friends in DC, they see this like on a daily basis. 230 00:13:32,520 --> 00:13:37,920 Speaker 2: Oh yes, and sweet, see what this is the deep state? 231 00:13:38,760 --> 00:13:42,079 Speaker 5: This is the deep state at work that he's denying exists. 232 00:13:42,240 --> 00:13:44,920 Speaker 2: The intelligency's playing in American politics. Right. 233 00:13:45,000 --> 00:13:49,640 Speaker 5: So what the left has done is they've positioned this 234 00:13:49,760 --> 00:13:54,000 Speaker 5: fourth branch of government so that even when they're not 235 00:13:54,040 --> 00:13:57,840 Speaker 5: in power, they're in power. Yes, that's what they've created. 236 00:13:58,240 --> 00:14:02,480 Speaker 5: They've created a system whereby so you lose Congress, you 237 00:14:02,559 --> 00:14:03,400 Speaker 5: lose the White House. 238 00:14:03,880 --> 00:14:04,480 Speaker 2: We don't care. 239 00:14:04,920 --> 00:14:07,320 Speaker 5: They don't care because they have the fourth branch of 240 00:14:07,360 --> 00:14:09,000 Speaker 5: government that's still running the show. 241 00:14:10,200 --> 00:14:12,400 Speaker 2: It's so blatantly on us. 242 00:14:12,720 --> 00:14:17,640 Speaker 11: Or obviously it's from the King of Ding and this 243 00:14:17,720 --> 00:14:19,440 Speaker 11: other guy, Michael Barry. 244 00:14:19,600 --> 00:14:22,080 Speaker 9: These are the kind of guys you're like a smacking airs. 245 00:14:31,840 --> 00:14:34,600 Speaker 1: Because who took this challenge in Dan Crenshaw in the 246 00:14:34,640 --> 00:14:38,920 Speaker 1: congressional district too race that the only people who say 247 00:14:38,960 --> 00:14:43,480 Speaker 1: bad things about the power structure in DC, they're the 248 00:14:43,520 --> 00:14:46,120 Speaker 1: only ones that are held accountable. If you go alonge 249 00:14:46,160 --> 00:14:48,960 Speaker 1: to get along, you're protected. You're part of the club. 250 00:14:49,400 --> 00:14:51,680 Speaker 5: At the federal level, Like if you were to call 251 00:14:52,320 --> 00:14:55,320 Speaker 5: immigration or something like that, they'd laugh at you. Of course, 252 00:14:55,320 --> 00:14:58,240 Speaker 5: you're just a silly congressman. We don't care what you think. 253 00:14:58,680 --> 00:15:02,160 Speaker 5: Why would they? Why would they? Right, And they do 254 00:15:02,200 --> 00:15:04,320 Speaker 5: the same thing with the executive branch. They are just 255 00:15:04,400 --> 00:15:08,840 Speaker 5: completely aloof They don't care what we think. They don't 256 00:15:08,840 --> 00:15:11,360 Speaker 5: care what the elected officials. They don't care whether a 257 00:15:11,440 --> 00:15:15,480 Speaker 5: constitutionally elected person that holds office. They don't care what 258 00:15:15,520 --> 00:15:18,680 Speaker 5: you think, even though even though your your department, maybe 259 00:15:18,760 --> 00:15:22,320 Speaker 5: underneath an agency that you oversee is a citing member 260 00:15:22,360 --> 00:15:23,560 Speaker 5: of Congress. 261 00:15:23,400 --> 00:15:26,240 Speaker 2: They don't care. If this is why Doge was a 262 00:15:26,240 --> 00:15:26,720 Speaker 2: good idea. 263 00:15:26,880 --> 00:15:29,920 Speaker 3: Yeah, you know, really, no one's been until people are 264 00:15:30,000 --> 00:15:33,360 Speaker 3: really fired, people who work for us, then there's no 265 00:15:33,400 --> 00:15:34,040 Speaker 3: incentive for them. 266 00:15:34,040 --> 00:15:37,840 Speaker 5: But here's the problem, Tuckers, that we've got a responsibility, 267 00:15:37,880 --> 00:15:41,720 Speaker 5: I think, as elected officials to say to the American people, 268 00:15:41,760 --> 00:15:44,480 Speaker 5: this is going on. I see it with my own eyes, 269 00:15:44,520 --> 00:15:47,720 Speaker 5: this is what's going on. Yes, And guys like Crench 270 00:15:47,720 --> 00:15:48,440 Speaker 5: are like, no, I'm going. 271 00:15:48,400 --> 00:15:48,960 Speaker 2: To defend it. 272 00:15:50,320 --> 00:15:52,320 Speaker 3: Well, how could you defend them, So how could I mean, 273 00:15:52,360 --> 00:15:56,960 Speaker 3: he was asked specifically, the intel agencies have basically nullified 274 00:15:56,960 --> 00:16:01,600 Speaker 3: democracy because they are playing a role in American politics, 275 00:16:01,680 --> 00:16:03,880 Speaker 3: a very big role, and that's documented. 276 00:16:03,960 --> 00:16:06,000 Speaker 2: It's not a matter of guesswork at this point. We 277 00:16:06,120 --> 00:16:06,520 Speaker 2: know that. 278 00:16:07,280 --> 00:16:09,040 Speaker 3: And it's, as you just said, anyone who works in 279 00:16:09,120 --> 00:16:11,960 Speaker 3: Washington sees it every single day. So like he's denying 280 00:16:12,000 --> 00:16:14,680 Speaker 3: that angrily, what does that say about his role? 281 00:16:15,760 --> 00:16:18,600 Speaker 5: I mean he was asked specifically about the right about 282 00:16:19,160 --> 00:16:23,600 Speaker 5: Hunter Biden's laptop and it was called Russian disinformation by 283 00:16:23,600 --> 00:16:29,040 Speaker 5: the intelligence community. Yes, and he blew it off, completely 284 00:16:29,280 --> 00:16:32,000 Speaker 5: blew it off, just like they blew off. 285 00:16:33,280 --> 00:16:36,560 Speaker 2: Biden's daughter's diary. Of course, Well they put that. 286 00:16:36,600 --> 00:16:40,160 Speaker 3: They put the people had it in jail for the 287 00:16:40,200 --> 00:16:42,680 Speaker 3: crime of having Ashley Biden's diary in which she said 288 00:16:42,720 --> 00:16:45,480 Speaker 3: she showered with her dad and it screwed her up sexually. 289 00:16:45,680 --> 00:16:48,360 Speaker 3: How couldn't it, That's what it's well exactly, how couldn't it. 290 00:16:48,920 --> 00:16:50,840 Speaker 3: But that was just they put the guy in jail 291 00:16:50,920 --> 00:16:52,680 Speaker 3: for that, I mean, for having it. 292 00:16:52,800 --> 00:16:59,920 Speaker 5: The same players in government don't don't treat Republicans that way. 293 00:17:00,400 --> 00:17:07,840 Speaker 5: I mean, it's only people that say bad things about 294 00:17:08,359 --> 00:17:11,600 Speaker 5: the power structure of Washington, DC. They're the only ones 295 00:17:12,000 --> 00:17:17,320 Speaker 5: that get held accountable. No, it's so sick. It's just 296 00:17:17,359 --> 00:17:17,760 Speaker 5: so sick. 297 00:17:18,160 --> 00:17:20,040 Speaker 1: And then we get to the issue, which has been 298 00:17:20,080 --> 00:17:22,199 Speaker 1: coming up again and again and again. How did Dan 299 00:17:22,320 --> 00:17:27,360 Speaker 1: Crenshaw get to be such an astute stock picker If 300 00:17:27,359 --> 00:17:30,600 Speaker 1: he's not trading, If he's trading on inside information, that's criminal. 301 00:17:31,440 --> 00:17:34,640 Speaker 1: If he's not, how'd he get so good at this? 302 00:17:35,760 --> 00:17:38,840 Speaker 1: Was he that good before he was in Congress? His 303 00:17:39,000 --> 00:17:41,879 Speaker 1: response is, I don't have that much money to invest. 304 00:17:42,640 --> 00:17:45,760 Speaker 1: If you invest one hundred dollars on inside information, it's 305 00:17:45,760 --> 00:17:51,200 Speaker 1: still a crime. His point is, I'm not rich. That's 306 00:17:51,520 --> 00:17:54,400 Speaker 1: not what any of us said. Wouldn't say you were. 307 00:17:55,080 --> 00:17:56,320 Speaker 1: But there are a lot of people that aren't rich 308 00:17:56,760 --> 00:17:58,480 Speaker 1: and they don't get to trade on inside information. 309 00:17:58,920 --> 00:18:03,120 Speaker 3: There was this kind of amazing moment right after COVID 310 00:18:03,200 --> 00:18:06,199 Speaker 3: when people started taking a look at the performance of 311 00:18:06,280 --> 00:18:10,719 Speaker 3: various members of Congress of stock portfolios. And you know, 312 00:18:10,840 --> 00:18:14,960 Speaker 3: I personally know hedge fund managers who've underperformed the market. Right, 313 00:18:15,040 --> 00:18:17,080 Speaker 3: people do this for a living, maybe billions some years. 314 00:18:17,080 --> 00:18:19,800 Speaker 3: They just don't. You know, it's very hard to beat 315 00:18:19,840 --> 00:18:22,920 Speaker 3: the market, But Dan Crenshaw did somehow, he made a 316 00:18:22,920 --> 00:18:26,960 Speaker 3: lot of trades, including after getting classified briefings on COVID policy, 317 00:18:27,800 --> 00:18:30,359 Speaker 3: and he was called out on this, and he wasn't 318 00:18:30,359 --> 00:18:32,560 Speaker 3: the only one. I mean, Nancy Pelosi famously, but Dan 319 00:18:32,600 --> 00:18:36,239 Speaker 3: Crenshaw did pretty well. And you know, I don't think 320 00:18:36,280 --> 00:18:38,560 Speaker 3: there's any evidence suggests he's like a market expert, So like, 321 00:18:38,560 --> 00:18:41,480 Speaker 3: how exactly do that? Did that work? And this was 322 00:18:41,520 --> 00:18:44,560 Speaker 3: his response. He didn't, you know, he immediately started attacking 323 00:18:44,600 --> 00:18:46,800 Speaker 3: anyone who asked him, and he said, you don't let 324 00:18:46,840 --> 00:18:49,160 Speaker 3: us trade stocks. You don't let us make any money either. 325 00:18:49,200 --> 00:18:51,600 Speaker 3: We haven't gotten a pay raise since two thousand and eight, 326 00:18:53,119 --> 00:18:54,880 Speaker 3: So I mean, I don't think members of Congress are 327 00:18:54,920 --> 00:18:57,920 Speaker 3: overpaid exactly, but they're paid all multiples of what the 328 00:18:57,960 --> 00:18:59,879 Speaker 3: average person makes, and they get a lifetime pension, so 329 00:19:00,000 --> 00:19:01,840 Speaker 3: it's pretty good deal and free healthcare and dental. So 330 00:19:01,880 --> 00:19:06,359 Speaker 3: it's like he's clearly very focused on money. He was 331 00:19:06,440 --> 00:19:08,199 Speaker 3: vicious too about the way he said it. 332 00:19:08,480 --> 00:19:14,280 Speaker 5: I mean, the level of anger in his voice that 333 00:19:15,119 --> 00:19:17,600 Speaker 5: he would be questioned about the way he's trading stock 334 00:19:17,800 --> 00:19:21,800 Speaker 5: or what he gets paid. So the average taxan is 335 00:19:21,840 --> 00:19:25,000 Speaker 5: paid seventy six thousand dollars. Dan Crenshaw's making one hundred 336 00:19:25,000 --> 00:19:28,000 Speaker 5: and seventy four thousand dollars of your tax dollars. He's 337 00:19:28,040 --> 00:19:30,520 Speaker 5: been paid by our tax dollars in taxes, of course, 338 00:19:30,920 --> 00:19:32,879 Speaker 5: and he thinks he should make more well for a 339 00:19:32,920 --> 00:19:36,480 Speaker 5: young man to the lifetime value of the package he's 340 00:19:36,560 --> 00:19:38,520 Speaker 5: he could, which he's already gotten because he's already served 341 00:19:38,600 --> 00:19:42,400 Speaker 5: multiple terms. Right, So is many millions of hellos over 342 00:19:42,440 --> 00:19:47,000 Speaker 5: the course of life. Yeah, yeah, it's crazy. It is crazy. So, 343 00:19:47,680 --> 00:19:49,680 Speaker 5: I mean it does Like, what do you make of 344 00:19:49,720 --> 00:19:54,359 Speaker 5: the stock trading? How did Dan Crenshaw beat the market? Well, 345 00:19:54,680 --> 00:19:57,880 Speaker 5: multiple people have talked about it, and multiple people over 346 00:19:57,880 --> 00:19:59,959 Speaker 5: the years have said that we've got to stop at 347 00:20:00,200 --> 00:20:04,399 Speaker 5: because we have access. They have access to information that 348 00:20:04,440 --> 00:20:06,400 Speaker 5: the average person doesn't have access to it. And it's 349 00:20:06,400 --> 00:20:08,119 Speaker 5: really not a lot different in Texas. Again, we're the 350 00:20:08,119 --> 00:20:11,399 Speaker 5: eighth largest economy in the United States. I see deals that 351 00:20:11,440 --> 00:20:14,960 Speaker 5: are coming our way, and I could, I could own 352 00:20:15,040 --> 00:20:17,639 Speaker 5: stock in those companies, but my wife and I've chosen 353 00:20:17,640 --> 00:20:20,000 Speaker 5: to stay out of the market, and for that very 354 00:20:20,040 --> 00:20:23,880 Speaker 5: simple reason either at all at all. So, I own 355 00:20:23,920 --> 00:20:28,120 Speaker 5: real estate, I own some rental houses and that's that's 356 00:20:28,160 --> 00:20:31,520 Speaker 5: my retirement. But I don't want to be I want 357 00:20:31,520 --> 00:20:33,840 Speaker 5: to appoind I want to avoid the appearance of evil. 358 00:20:33,840 --> 00:20:35,959 Speaker 5: This has been an issue, this one all the way 359 00:20:36,000 --> 00:20:39,679 Speaker 5: back to remember Eric Canter very well. Eric Canter was 360 00:20:39,760 --> 00:20:42,240 Speaker 5: thrown out of office Dave. I can't think of his 361 00:20:42,320 --> 00:20:46,600 Speaker 5: last name. He's a I know them both, yeah, But anyways, 362 00:20:47,000 --> 00:20:51,040 Speaker 5: Canter lost because of his defense and voted against legislation. 363 00:20:51,359 --> 00:20:54,439 Speaker 5: This is going back ten twelve years that would have 364 00:20:54,440 --> 00:20:57,440 Speaker 5: stopped this, and the American people have just had enough 365 00:20:57,440 --> 00:20:57,679 Speaker 5: with it. 366 00:20:57,760 --> 00:20:59,640 Speaker 2: They just have absolutely had enough of it. 367 00:21:00,840 --> 00:21:02,720 Speaker 1: Toward the end of the week, I look at my stack. 368 00:21:02,800 --> 00:21:08,120 Speaker 1: I used to love when Rush would Peter he'd tap 369 00:21:08,240 --> 00:21:11,520 Speaker 1: his you know, pull together his stack of papers, and 370 00:21:11,560 --> 00:21:12,080 Speaker 1: I loved that. 371 00:21:12,240 --> 00:21:13,600 Speaker 2: It was one of the many things I loved about 372 00:21:13,640 --> 00:21:14,200 Speaker 2: Russia show. 373 00:21:14,200 --> 00:21:19,800 Speaker 1: But I see stories that we didn't get to and 374 00:21:19,840 --> 00:21:21,960 Speaker 1: I think to myself, I don't want the week to 375 00:21:22,000 --> 00:21:24,800 Speaker 1: go by and we don't get that in So this 376 00:21:25,000 --> 00:21:28,760 Speaker 1: was a story out of Louisiana. Fox News broke this. 377 00:21:29,760 --> 00:21:32,199 Speaker 1: I don't know if it was earlier this week or 378 00:21:32,240 --> 00:21:36,040 Speaker 1: late last week. They arrested one of the folks who 379 00:21:36,160 --> 00:21:39,880 Speaker 1: was in the hamas attack on Israel on October seventh 380 00:21:41,080 --> 00:21:45,280 Speaker 1: in Louisiana. Now, you know, when I was growing up 381 00:21:46,000 --> 00:21:49,800 Speaker 1: and up until relatively recently, you knew that the world 382 00:21:49,920 --> 00:21:54,000 Speaker 1: was an unsafe place. You knew there were savages around 383 00:21:54,040 --> 00:21:58,199 Speaker 1: the world, and you took comfort in the fact that, well, 384 00:21:58,200 --> 00:22:01,520 Speaker 1: at least they're not here. But then we started letting 385 00:22:01,560 --> 00:22:04,520 Speaker 1: him in. All they had to do was get here, 386 00:22:04,640 --> 00:22:08,679 Speaker 1: and they were let in. Well, bad people do bad things, period, 387 00:22:08,680 --> 00:22:11,479 Speaker 1: That's the way that works. Here was a story from 388 00:22:11,520 --> 00:22:12,119 Speaker 1: Fox News. 389 00:22:12,359 --> 00:22:14,520 Speaker 12: Federal prosecutor say the thirty three year old man took 390 00:22:14,560 --> 00:22:17,639 Speaker 12: part in the Hamas attack on Israel, then traveled to 391 00:22:17,640 --> 00:22:21,160 Speaker 12: the US on a fraudulent visa. Senior correspondent Jonathan Sara 392 00:22:21,200 --> 00:22:22,480 Speaker 12: as more on what we're learning. 393 00:22:22,560 --> 00:22:26,240 Speaker 11: Jonathan, Yes, Andra, he was living here in the US legally, 394 00:22:26,280 --> 00:22:29,919 Speaker 11: at least on paper. Investigators say he lied on his 395 00:22:30,040 --> 00:22:34,320 Speaker 11: visa application by failing to disclose his alleged connections to 396 00:22:34,400 --> 00:22:38,480 Speaker 11: paramilitary groups. He was living in Lafayette, Louisiana. His name 397 00:22:38,560 --> 00:22:42,480 Speaker 11: is Mahmoud al Matadi, and according to the criminal complaint 398 00:22:42,520 --> 00:22:45,240 Speaker 11: filed in US District Court, evidence shows that on the 399 00:22:45,280 --> 00:22:48,600 Speaker 11: morning of October seventh, twenty twenty three, al Matadi learned 400 00:22:48,600 --> 00:22:52,520 Speaker 11: about the Hamas invasion, armed himself, gathered others, and crossed 401 00:22:52,520 --> 00:22:56,800 Speaker 11: into Israel with the intention of assisting with Hamas's terrorist attack. 402 00:22:57,160 --> 00:23:00,960 Speaker 11: That coordinated assault involved rape, torture, case napping, and the 403 00:23:01,080 --> 00:23:05,600 Speaker 11: deaths of twelve hundred people. Investigators say Almatati's phone used 404 00:23:05,600 --> 00:23:10,080 Speaker 11: a cell tower located near Kibbutz kafar Aza, the location 405 00:23:10,280 --> 00:23:12,920 Speaker 11: of one of the worst massacres in. 406 00:23:12,760 --> 00:23:15,680 Speaker 2: That attack on Israel. The court filing. 407 00:23:15,400 --> 00:23:19,080 Speaker 11: Also includes social media photos that investigator Shape say shows 408 00:23:19,080 --> 00:23:22,639 Speaker 11: Alma Tadi wearing the red headband of the National Resistance 409 00:23:22,680 --> 00:23:47,760 Speaker 11: Brigades or NRB, a Gaza based paramilar very show. 410 00:23:52,160 --> 00:23:54,760 Speaker 1: I hate the climate holes. 411 00:23:55,240 --> 00:23:58,679 Speaker 2: You know this. I came across this audio. It's a 412 00:23:58,680 --> 00:23:59,720 Speaker 2: fellow named Matt Ridley. 413 00:24:00,960 --> 00:24:04,080 Speaker 1: This is a guy who was the science editor at 414 00:24:04,440 --> 00:24:08,240 Speaker 1: the Economist magazine, which is an international magazine, and I 415 00:24:08,240 --> 00:24:13,200 Speaker 1: would argue leans a little left. This is a magazine 416 00:24:13,280 --> 00:24:17,800 Speaker 1: that has pushed the climate hoax for years. Listen to 417 00:24:17,840 --> 00:24:21,080 Speaker 1: what he now says about that. This is not a 418 00:24:21,080 --> 00:24:24,440 Speaker 1: guy with just some conspiracy opinion. This is a guy 419 00:24:24,440 --> 00:24:26,600 Speaker 1: who was rather learned on the issue. 420 00:24:27,320 --> 00:24:31,560 Speaker 10: What is the reality of climate change and the human 421 00:24:31,640 --> 00:24:32,880 Speaker 10: impact on that process. 422 00:24:33,000 --> 00:24:36,159 Speaker 13: Well, the average temperature of the planet does seem to 423 00:24:36,200 --> 00:24:40,119 Speaker 13: be going steadily outputs since when since the mid eighties. 424 00:24:40,760 --> 00:24:42,320 Speaker 13: So he went down in the seventies. 425 00:24:42,520 --> 00:24:44,400 Speaker 10: I remember all the fears about the I say, yes, 426 00:24:44,440 --> 00:24:46,520 Speaker 10: in the seventies. So we were told the planets about 427 00:24:46,520 --> 00:24:48,080 Speaker 10: the freeze in the seventies. 428 00:24:48,160 --> 00:24:49,760 Speaker 13: Yeah, it was fair, and that wasn't a fringe of 429 00:24:49,800 --> 00:24:51,879 Speaker 13: view by the way. It was you know, covers of 430 00:24:51,920 --> 00:24:54,160 Speaker 13: Time and Newsweek and the luck kind of stuff people 431 00:24:54,160 --> 00:24:56,000 Speaker 13: have forgotten. Yeah, it was going to be six degrees 432 00:24:56,000 --> 00:24:57,680 Speaker 13: of cooling and you know, it was going to be 433 00:24:57,760 --> 00:24:58,720 Speaker 13: amazing changes. 434 00:24:58,760 --> 00:25:00,320 Speaker 2: And that didn't happened. 435 00:25:00,320 --> 00:25:04,360 Speaker 13: It bottomed out and started warming gently, and since then 436 00:25:04,440 --> 00:25:09,560 Speaker 13: it's warmed at you know, about a quarter of a 437 00:25:09,600 --> 00:25:15,480 Speaker 13: degree per decade on average across the last thirty forty years. 438 00:25:15,480 --> 00:25:18,240 Speaker 13: And it's maybe they say it's one point five degrees 439 00:25:18,240 --> 00:25:21,280 Speaker 13: above pre industrial levels now, but pre industrial levels did this, 440 00:25:21,680 --> 00:25:23,800 Speaker 13: you know, So which bit do you want to prove? 441 00:25:23,880 --> 00:25:24,520 Speaker 2: I mean, we know. 442 00:25:24,600 --> 00:25:26,280 Speaker 13: That in the medieval period it was warm of them 443 00:25:26,320 --> 00:25:28,880 Speaker 13: today because you find whole forests that are emerging from 444 00:25:28,920 --> 00:25:32,399 Speaker 13: melting glaciers. Now, well, there were forests in fifteen hundred, 445 00:25:32,840 --> 00:25:34,840 Speaker 13: where there's no glass, there would have been no glacier 446 00:25:34,880 --> 00:25:37,600 Speaker 13: there now, so the glaciers come and then gone away again. 447 00:25:37,720 --> 00:25:40,480 Speaker 13: So we're not in a period of unprecedented warms. We're 448 00:25:40,480 --> 00:25:43,800 Speaker 13: not in a period of unprecedentedally fast warmths. We're not 449 00:25:43,840 --> 00:25:46,840 Speaker 13: in a period of increasing extreme weather flood strout storms. 450 00:25:48,240 --> 00:25:54,000 Speaker 13: There's no increase in the either frequency or severity. But 451 00:25:54,080 --> 00:25:56,320 Speaker 13: at the same time, the common docs that we're putting 452 00:25:56,320 --> 00:25:59,560 Speaker 13: in the air is having a very measurable effect that's beneficial, 453 00:26:00,040 --> 00:26:02,479 Speaker 13: and we refuse to take that into a can and 454 00:26:02,520 --> 00:26:03,760 Speaker 13: that is global greening. 455 00:26:04,680 --> 00:26:06,679 Speaker 2: Is there is more green. 456 00:26:06,520 --> 00:26:09,560 Speaker 13: Vegetation on the planet now compared with the nineteen eighties, 457 00:26:09,840 --> 00:26:13,920 Speaker 13: equivalent to a continent the size of North America that's 458 00:26:13,960 --> 00:26:18,960 Speaker 13: been added of green vegetation. That's an enormous impact. It's 459 00:26:19,000 --> 00:26:23,399 Speaker 13: approximately sixteen or seventeen percent more green vegetation on the 460 00:26:23,400 --> 00:26:26,320 Speaker 13: planet now than there was in the eighties. And that's 461 00:26:26,359 --> 00:26:29,400 Speaker 13: because carbon dioxide is plant food, and when it's more 462 00:26:29,400 --> 00:26:31,960 Speaker 13: in the air, the plants grow better, particularly in arid areas. 463 00:26:32,320 --> 00:26:35,280 Speaker 13: Now that's had an effect on crop yields. It's not 464 00:26:35,320 --> 00:26:37,520 Speaker 13: the only effect on crop yields. But it's fifte percent, 465 00:26:37,680 --> 00:26:43,080 Speaker 13: quite a good improvement, and if you add the dollar 466 00:26:43,200 --> 00:26:46,520 Speaker 13: value of that up, it's very hard to make it 467 00:26:46,560 --> 00:26:49,720 Speaker 13: smaller than the dollar value of the increase in warmth 468 00:26:50,119 --> 00:26:53,600 Speaker 13: that has effected, you know, done damage, because even the warmth, 469 00:26:53,880 --> 00:26:55,280 Speaker 13: you know, that means a few people. 470 00:26:55,119 --> 00:26:55,800 Speaker 2: Are dying in winter. 471 00:26:55,960 --> 00:26:59,119 Speaker 13: And yet there are so many vested interests now in 472 00:26:59,200 --> 00:27:02,760 Speaker 13: continuing to about it as a crisis and funded as 473 00:27:02,760 --> 00:27:06,600 Speaker 13: a crisis, that I'll not get a hearing for what 474 00:27:06,640 --> 00:27:07,520 Speaker 13: I just said. 475 00:27:07,960 --> 00:27:10,600 Speaker 2: So I have long been of the opinion. 476 00:27:12,080 --> 00:27:15,920 Speaker 1: That Texas, Oh see if I can find that I've 477 00:27:15,960 --> 00:27:18,400 Speaker 1: been holding onto this and just never got to it. 478 00:27:21,200 --> 00:27:27,440 Speaker 1: On green energy scams, it's a fellow named Dave Walsh 479 00:27:27,720 --> 00:27:31,800 Speaker 1: who's the former president of Mitsubishi Power Systems, and he 480 00:27:31,840 --> 00:27:35,320 Speaker 1: did an interview with Steve Bannon, and a listener sent 481 00:27:35,359 --> 00:27:38,359 Speaker 1: it to me, and it's four minutes twelve seconds. I 482 00:27:38,359 --> 00:27:41,080 Speaker 1: don't generally invest that kind of time in something I 483 00:27:41,080 --> 00:27:43,880 Speaker 1: don't know what it's going to be. But I start 484 00:27:43,960 --> 00:27:47,800 Speaker 1: listening to it and I realized, this is exactly what 485 00:27:47,920 --> 00:27:51,399 Speaker 1: we've been talking about, the reason your energy costs go 486 00:27:51,440 --> 00:27:53,879 Speaker 1: through the roof, the reason the grid goes down is 487 00:27:53,920 --> 00:27:57,400 Speaker 1: we're not make even in Texas, we're not making good 488 00:27:57,440 --> 00:28:01,120 Speaker 1: decisions based on the best energy at the lowest cost, 489 00:28:02,000 --> 00:28:05,920 Speaker 1: which is what consumers would want. We are subsidizing, regulating, 490 00:28:05,960 --> 00:28:11,399 Speaker 1: and mandating inefficient forms of energy like wind and solar 491 00:28:12,520 --> 00:28:16,320 Speaker 1: in order to what save the Earth or something. It's 492 00:28:16,480 --> 00:28:22,160 Speaker 1: all crop so longer audio clip for minutes twelve seconds 493 00:28:22,240 --> 00:28:25,080 Speaker 1: than we normally play. But I felt like cutting it 494 00:28:25,119 --> 00:28:27,560 Speaker 1: any lower. I wanted you to hear this info, give 495 00:28:27,600 --> 00:28:27,960 Speaker 1: this list. 496 00:28:28,320 --> 00:28:31,960 Speaker 8: When it was just the consumer and the average schmo right, 497 00:28:32,280 --> 00:28:35,119 Speaker 8: the tech oligarchs because they're all progressive lefties. It was 498 00:28:35,160 --> 00:28:37,199 Speaker 8: all a climate crisis and you had to have renewables. 499 00:28:37,359 --> 00:28:39,080 Speaker 8: If it's going to cost more, well that's what it 500 00:28:39,120 --> 00:28:40,080 Speaker 8: costs to save the plants. 501 00:28:40,080 --> 00:28:40,720 Speaker 2: So you're gonna pay for it. 502 00:28:40,920 --> 00:28:43,400 Speaker 8: When it comes to AI and comes to what. 503 00:28:43,280 --> 00:28:45,000 Speaker 2: They need, which is energy and water. 504 00:28:45,360 --> 00:28:48,280 Speaker 8: Hey, they're talking about many nuclear reactors, they're talking about 505 00:28:48,280 --> 00:28:50,520 Speaker 8: gas plants called they don't care. I don't hear any 506 00:28:50,560 --> 00:28:52,320 Speaker 8: I don't hear any big thing that we need more 507 00:28:52,360 --> 00:28:55,479 Speaker 8: wind farms for the AI. They're not prepared to go 508 00:28:55,560 --> 00:28:58,440 Speaker 8: down something that that's not sustainable, right, I mean, you're 509 00:28:58,440 --> 00:29:00,800 Speaker 8: seeing a total shift and this to what galls me. 510 00:29:01,080 --> 00:29:03,600 Speaker 8: The same guys that put in money for these left 511 00:29:03,640 --> 00:29:07,000 Speaker 8: wing politicians to basically have a neck carbon zero and 512 00:29:07,040 --> 00:29:09,240 Speaker 8: that was their big religion when it comes to their 513 00:29:09,240 --> 00:29:11,440 Speaker 8: own money, and it comes to they now woken up 514 00:29:11,480 --> 00:29:12,880 Speaker 8: to the fact that hey, if we're going to compete 515 00:29:12,920 --> 00:29:15,360 Speaker 8: with China, we need massive amounts of power. I don't 516 00:29:15,360 --> 00:29:17,560 Speaker 8: hear any wind farms. I don't hear any solar coming 517 00:29:17,560 --> 00:29:21,520 Speaker 8: from them. They want real power that's there all the time, sir. 518 00:29:22,520 --> 00:29:24,080 Speaker 2: Yeah, that's the number. The issue. 519 00:29:24,160 --> 00:29:28,080 Speaker 4: AI, just like some endplants, deal plants, car plants, semiconductor plants, 520 00:29:28,080 --> 00:29:31,520 Speaker 4: and human beings need baseload twenty four hour a day 521 00:29:31,640 --> 00:29:32,680 Speaker 4: electricity supply. 522 00:29:33,600 --> 00:29:34,680 Speaker 2: Rubles don't provide that. 523 00:29:34,920 --> 00:29:37,840 Speaker 4: Of course, the AI mobiles and denizens come out with 524 00:29:37,880 --> 00:29:40,840 Speaker 4: that right away. They can't get by on part time energy. Oh, 525 00:29:40,920 --> 00:29:42,920 Speaker 4: let's let the people continue to try to get by 526 00:29:43,000 --> 00:29:45,280 Speaker 4: on part time energy. Let the rate payers get by 527 00:29:45,320 --> 00:29:48,360 Speaker 4: on that, but let's have baseload for us. What would 528 00:29:48,360 --> 00:29:50,360 Speaker 4: make the most sense is if they build their own 529 00:29:50,520 --> 00:29:53,280 Speaker 4: instead of plugging in and taking advantage of rate payers 530 00:29:53,280 --> 00:29:55,479 Speaker 4: having to build out two and a half billion, three 531 00:29:55,520 --> 00:29:59,760 Speaker 4: billion dollar gas plans to support them incrementally, let them 532 00:29:59,800 --> 00:30:02,280 Speaker 4: pay for that, and then you've got public. 533 00:30:02,040 --> 00:30:03,560 Speaker 2: Policy issues that need to be addressed. 534 00:30:03,560 --> 00:30:06,920 Speaker 4: Suches in Pennsylvania, Google showing up buying and existing six 535 00:30:07,040 --> 00:30:10,880 Speaker 4: hundred and seventy megawat dam from Brookstone just for the 536 00:30:10,920 --> 00:30:15,040 Speaker 4: purpose of Brookfield having to be able to brag about 537 00:30:15,040 --> 00:30:18,280 Speaker 4: baseloaded energy that they've purchased. They're robbing that from the 538 00:30:18,280 --> 00:30:22,040 Speaker 4: public system, from the pjam public system that's already in 539 00:30:22,120 --> 00:30:26,360 Speaker 4: shortage because of shutting down coal nuclear plants attempting to 540 00:30:26,400 --> 00:30:28,840 Speaker 4: replace them with expensive renewables. 541 00:30:28,880 --> 00:30:30,400 Speaker 2: They're already in massive short. 542 00:30:33,160 --> 00:30:35,360 Speaker 8: I want to go to another topic and Ash you 543 00:30:35,440 --> 00:30:37,280 Speaker 8: probably stay through the break for a couple of the 544 00:30:37,320 --> 00:30:40,400 Speaker 8: other side. Here's another thing I don't get because you've 545 00:30:40,400 --> 00:30:43,720 Speaker 8: got these boards where consumers with fever. You've got the 546 00:30:43,800 --> 00:30:49,280 Speaker 8: two bedrocks of the mega movement, Florida and Texas. And 547 00:30:49,320 --> 00:30:52,440 Speaker 8: in Florida all they're doing is building solar all over 548 00:30:52,440 --> 00:30:56,120 Speaker 8: the place, and in Texas it's all wind. How did 549 00:30:56,160 --> 00:31:00,240 Speaker 8: we have two MAGA states with the reddest populations we 550 00:31:00,320 --> 00:31:02,200 Speaker 8: got and people on the tip of this How do 551 00:31:02,240 --> 00:31:04,680 Speaker 8: we have a situation where they're going down the path 552 00:31:04,880 --> 00:31:08,160 Speaker 8: for the average Schmendrick right that you're going to have 553 00:31:08,200 --> 00:31:11,080 Speaker 8: solar and expensive as how are you going to have wind? 554 00:31:11,200 --> 00:31:12,080 Speaker 2: How did that happen? 555 00:31:14,000 --> 00:31:17,000 Speaker 4: It happened in this state. This is a regulated state, 556 00:31:17,160 --> 00:31:20,320 Speaker 4: unlike Rep. Parrison state is his state. By the way, 557 00:31:20,360 --> 00:31:23,000 Speaker 4: going forward AIRCOT plan the next five years is entirely 558 00:31:23,440 --> 00:31:27,240 Speaker 4: solar and battery storage. New capacity additions for air cotnew 559 00:31:27,280 --> 00:31:31,000 Speaker 4: the next five years a compounded disaster. Florida worse with 560 00:31:31,120 --> 00:31:34,960 Speaker 4: regulated utilities who are heavily donated, heavy heavy donators to 561 00:31:35,120 --> 00:31:38,440 Speaker 4: packs wind up in full control of energy policy for 562 00:31:38,520 --> 00:31:41,160 Speaker 4: Florida through the state House, state Senate, and the governor 563 00:31:41,320 --> 00:31:44,760 Speaker 4: backing them because they're major donors, they're massive donors, they 564 00:31:44,800 --> 00:31:48,080 Speaker 4: get their way. They basically control the inputs provided by 565 00:31:48,080 --> 00:31:50,880 Speaker 4: the Public Service Commission, who was appointed by the governor 566 00:31:50,960 --> 00:31:54,320 Speaker 4: and approved by the state Senate, all heavily impacted by 567 00:31:54,360 --> 00:31:57,240 Speaker 4: the donor class of Duke Energy, FPL and TCO the 568 00:31:57,400 --> 00:32:01,240 Speaker 4: go ahead and push forward these plans that are massively 569 00:32:01,320 --> 00:32:04,560 Speaker 4: beneficial to their bottom line because the capex involved with 570 00:32:04,640 --> 00:32:07,520 Speaker 4: these plans is five times to six times more than 571 00:32:07,520 --> 00:32:10,160 Speaker 4: it would be if they were building basic combined cyclic 572 00:32:10,200 --> 00:32:13,760 Speaker 4: gas power plans. So therefore they get a rate benefit 573 00:32:13,800 --> 00:32:16,120 Speaker 4: from that eleven and a half percent guaranteed return on 574 00:32:16,280 --> 00:32:19,920 Speaker 4: delta investment. Therefore, the utilities are all for the continuance 575 00:32:20,360 --> 00:32:22,880 Speaker 4: of solar power for the people. Now when it talks 576 00:32:22,920 --> 00:32:25,360 Speaker 4: to AI, hey, I can't live with that. They need 577 00:32:25,640 --> 00:32:28,040 Speaker 4: twenty four hour day, really power like the rest of us. 578 00:32:29,480 --> 00:32:33,520 Speaker 4: As Satisfatuday, thank you and a midnight