1 00:00:00,080 --> 00:00:01,599 Speaker 1: Hey guys, Saga and Crystal here. 2 00:00:01,680 --> 00:00:05,200 Speaker 2: Independent media just played a truly massive role in this election, 3 00:00:05,360 --> 00:00:07,840 Speaker 2: and we are so excited about what that means for 4 00:00:07,880 --> 00:00:08,720 Speaker 2: the future of the show. 5 00:00:08,880 --> 00:00:10,719 Speaker 3: This is the only place where you can find honest 6 00:00:10,760 --> 00:00:13,239 Speaker 3: perspectives from the left and the right that simply does 7 00:00:13,320 --> 00:00:14,680 Speaker 3: not exist anywhere else. 8 00:00:14,720 --> 00:00:17,080 Speaker 2: So if that is something that's important to you, please 9 00:00:17,120 --> 00:00:19,599 Speaker 2: go to Breakingpoints dot com. Become a member today and 10 00:00:19,640 --> 00:00:22,800 Speaker 2: you'll get access to our full shows, unedited, ad free, 11 00:00:22,800 --> 00:00:25,600 Speaker 2: and all put together for you every morning in your inbox. 12 00:00:25,680 --> 00:00:27,560 Speaker 3: We need your help to build the future of independent 13 00:00:27,560 --> 00:00:29,920 Speaker 3: news media and we hope to see you at Breakingpoints 14 00:00:29,960 --> 00:00:33,440 Speaker 3: dot com. 15 00:00:33,560 --> 00:00:35,320 Speaker 1: Good morning, everybody, Happy Tuesday. 16 00:00:35,360 --> 00:00:38,080 Speaker 3: Have an amazing show for everybody today, Bro show Ryan 17 00:00:38,320 --> 00:00:40,040 Speaker 3: People Live for the Pound. 18 00:00:40,159 --> 00:00:41,920 Speaker 1: It's been a while here, my man, It's good to 19 00:00:41,920 --> 00:00:42,199 Speaker 1: see you. 20 00:00:42,200 --> 00:00:42,680 Speaker 4: How you doing. 21 00:00:43,120 --> 00:00:43,839 Speaker 1: I'm good. I'm good. 22 00:00:43,840 --> 00:00:45,760 Speaker 3: I was complaining to you how sleep deprived I am 23 00:00:45,800 --> 00:00:48,800 Speaker 3: these days? Four months ze progression, no joke, no joke. 24 00:00:49,479 --> 00:00:53,160 Speaker 3: We will delve into many tough topics today. Number one 25 00:00:53,280 --> 00:00:57,840 Speaker 3: is autism new claim from the Trump administration from President 26 00:00:57,840 --> 00:01:02,200 Speaker 3: Trump himself advising American pregnant women do not take Tayland 27 00:01:02,240 --> 00:01:05,880 Speaker 3: all to your baby, no head, he said, just Grinn 28 00:01:05,920 --> 00:01:08,920 Speaker 3: and Barrett also have the worst circumstances ever. 29 00:01:09,440 --> 00:01:10,800 Speaker 1: We'll get into it. We'll get into it. 30 00:01:10,840 --> 00:01:13,320 Speaker 3: I pulled all the data that we can all go through, 31 00:01:13,360 --> 00:01:15,399 Speaker 3: Ryan and I can go off. We're going to talk 32 00:01:15,400 --> 00:01:17,840 Speaker 3: about home and Tom Homan. That's not a story that 33 00:01:17,880 --> 00:01:22,200 Speaker 3: we were able to cover yesterday, allegedly accepting a fifty 34 00:01:22,400 --> 00:01:27,119 Speaker 3: thousand dollars bribe in a bag of cash from Kava, 35 00:01:27,319 --> 00:01:30,000 Speaker 3: which again, you know, we got to defend. 36 00:01:29,680 --> 00:01:32,119 Speaker 1: Cava at all costs, by far the best fast food. 37 00:01:32,160 --> 00:01:33,760 Speaker 3: We're going to give you all of the details he 38 00:01:33,800 --> 00:01:36,880 Speaker 3: can kind of issued a non denial denial yesterday on 39 00:01:36,959 --> 00:01:38,840 Speaker 3: Fox News. Says a lot of interesting stuff, not just 40 00:01:38,880 --> 00:01:41,760 Speaker 3: about Tom Homan, but actually about bribery laws, which is 41 00:01:41,959 --> 00:01:44,279 Speaker 3: something not enough people paid attention to when a Supreme 42 00:01:44,319 --> 00:01:46,520 Speaker 3: Court in case happened last year. We're also going to 43 00:01:46,520 --> 00:01:49,000 Speaker 3: talk about the economy. Ryan actually pulled some excellent stuff 44 00:01:49,240 --> 00:01:53,080 Speaker 3: retiring GOP congressman worrying about tariffs and loss of jobs, 45 00:01:53,080 --> 00:01:55,920 Speaker 3: as well some other troubling data, including the Trump administration 46 00:01:56,040 --> 00:01:59,440 Speaker 3: delaying and inflation report. We're talking about h one B's 47 00:01:59,520 --> 00:02:03,920 Speaker 3: absolutely chaos and interesting new Order from the Trump administration 48 00:02:04,840 --> 00:02:07,160 Speaker 3: at first thinking that there would be a one hundred 49 00:02:07,200 --> 00:02:10,320 Speaker 3: thousand dollars annual fee for H one B visa holders, 50 00:02:10,400 --> 00:02:14,799 Speaker 3: retracting that people were literally on planes considering getting off 51 00:02:14,840 --> 00:02:15,399 Speaker 3: the plane. 52 00:02:15,560 --> 00:02:18,200 Speaker 1: It's a total craziness. But there's you know, some there there, and. 53 00:02:18,200 --> 00:02:19,679 Speaker 3: We've talked about H one b's I think at a 54 00:02:19,760 --> 00:02:21,679 Speaker 3: nuanced way on the show before. We're also going to 55 00:02:21,720 --> 00:02:24,200 Speaker 3: talk about Venezuela. It's these are these two next ones 56 00:02:24,240 --> 00:02:27,600 Speaker 3: are Ryan specials. We're gonna talk about Venezuela. Trump saying 57 00:02:27,919 --> 00:02:33,679 Speaker 3: he has caught Venezuelan and malicious training for domestic terrorism purposes, potentially, 58 00:02:33,720 --> 00:02:36,680 Speaker 3: you know, flashing red light there on a potential regime 59 00:02:36,800 --> 00:02:40,760 Speaker 3: change operation. And then finally Ryan, speaking of regime change, 60 00:02:41,000 --> 00:02:43,760 Speaker 3: there is a new leader in Syria. He is, of course, 61 00:02:43,880 --> 00:02:47,160 Speaker 3: the former leader of al Qaeda and had ties to ISIS. 62 00:02:47,200 --> 00:02:51,160 Speaker 3: And in probably one of the most insane and extraordinary 63 00:02:51,160 --> 00:02:54,600 Speaker 3: things Ryan I have ever seen, David Petraeus, the former 64 00:02:54,680 --> 00:02:59,080 Speaker 3: commander of US forces in Iraq, glazed this man to 65 00:02:59,200 --> 00:03:02,639 Speaker 3: his face. Being on opposite sides of the Civil War 66 00:03:02,800 --> 00:03:06,480 Speaker 3: some twenty years ago. It is a perfect distillation of 67 00:03:06,639 --> 00:03:10,400 Speaker 3: US policy. It is shocking. It makes me question why 68 00:03:10,400 --> 00:03:13,360 Speaker 3: I wasted years of my life covering the war on 69 00:03:13,440 --> 00:03:16,560 Speaker 3: al Qaeda and all this. The former CIA director just 70 00:03:16,800 --> 00:03:19,560 Speaker 3: worrying about whether this al Qaeda guy is getting enough sleep. 71 00:03:20,400 --> 00:03:20,960 Speaker 1: It's crazy. 72 00:03:21,080 --> 00:03:23,680 Speaker 4: And usually when a CIA handler and his asset meet, 73 00:03:24,360 --> 00:03:26,359 Speaker 4: it's on public, that's right. Yeah, this was at the 74 00:03:26,440 --> 00:03:29,600 Speaker 4: UN on stage. One piece of news that we're not 75 00:03:29,639 --> 00:03:32,639 Speaker 4: going to get the cover, but one of those prominent 76 00:03:32,919 --> 00:03:36,920 Speaker 4: activists from the Arab Spring, the Egyptian author and actist 77 00:03:36,960 --> 00:03:42,400 Speaker 4: Ad al Fata, was released yesterday, pardoned by CCI. This 78 00:03:42,440 --> 00:03:45,640 Speaker 4: is absolutely huge news in Egypt and for everybody following that. 79 00:03:45,720 --> 00:03:50,040 Speaker 4: His mother was on this who was in London, was 80 00:03:50,080 --> 00:03:52,840 Speaker 4: on like a ten month a hunger strike and was 81 00:03:52,960 --> 00:03:56,720 Speaker 4: on the brink of death. So a tiny sliver of 82 00:03:56,880 --> 00:03:58,560 Speaker 4: good news and is sort of like the end of 83 00:03:58,600 --> 00:03:58,960 Speaker 4: an era. 84 00:04:00,520 --> 00:04:02,560 Speaker 3: Yeah, it is interesting actually to think about, you know, 85 00:04:02,640 --> 00:04:05,880 Speaker 3: social media and the hope the Arab Spring turned out 86 00:04:05,920 --> 00:04:07,280 Speaker 3: to not have a. 87 00:04:07,200 --> 00:04:08,400 Speaker 4: Lot of bite. 88 00:04:08,800 --> 00:04:10,440 Speaker 1: Yeah, well we'll save it for Seria. 89 00:04:10,880 --> 00:04:13,640 Speaker 3: And the last thing before we get into all of that, 90 00:04:13,720 --> 00:04:16,040 Speaker 3: Jimmy Kimo just want to make this a news. Disney 91 00:04:16,040 --> 00:04:19,760 Speaker 3: announced Jimmy Kimmeo will be returning to the show tomorrow. 92 00:04:20,000 --> 00:04:22,840 Speaker 3: All right, sorry today on Tuesday, Tuesday evening, Emily and 93 00:04:22,920 --> 00:04:26,280 Speaker 3: r or sorry Emily and Crystal. We'll cover that extensively tomorrow. 94 00:04:26,279 --> 00:04:28,120 Speaker 3: Thank you, by the way, to everybody who's been supporting 95 00:04:28,120 --> 00:04:30,920 Speaker 3: the show, we really appreciate it. Breakingpoints dot com, if 96 00:04:30,920 --> 00:04:32,880 Speaker 3: you are able, as part of our premium benefits, you 97 00:04:32,880 --> 00:04:36,080 Speaker 3: sometimes get early episodes. And today I'll actually be recording 98 00:04:36,360 --> 00:04:38,880 Speaker 3: an episode with Tucker Carlson about his new nine to 99 00:04:38,920 --> 00:04:42,480 Speaker 3: eleven documentary that will drop exclusively for our premium subscribers 100 00:04:42,480 --> 00:04:45,160 Speaker 3: tonight and will be made available at some point tomorrow 101 00:04:45,240 --> 00:04:47,360 Speaker 3: for everybody else. If you can't afford it, no worries, 102 00:04:47,400 --> 00:04:49,920 Speaker 3: Just please hit subscribe on our YouTube channel. And if 103 00:04:49,920 --> 00:04:52,279 Speaker 3: you're listening to this as a podcast, send the show 104 00:04:52,320 --> 00:04:54,160 Speaker 3: to a friend. But breakingpoints dot com if you want 105 00:04:54,200 --> 00:04:57,640 Speaker 3: early access to episodes like that or our Ama yesterday, 106 00:04:57,680 --> 00:04:59,760 Speaker 3: as well as the full show and all of that jazz. 107 00:04:59,760 --> 00:05:02,160 Speaker 3: So breakapoints dot com if you can support us as well, 108 00:05:02,200 --> 00:05:04,279 Speaker 3: let's get early access to that Tucker Carlson interview. 109 00:05:04,440 --> 00:05:06,919 Speaker 1: So let's go ahead and get to autism. 110 00:05:07,000 --> 00:05:11,120 Speaker 3: Some extraordinary remarks here from President Trump in a press 111 00:05:11,160 --> 00:05:15,400 Speaker 3: conference late yesterday at the White House about Thailandhil joining 112 00:05:15,440 --> 00:05:20,960 Speaker 3: with doctor J. Boticharia, doctor MARTT Macri, RFK Junior, the 113 00:05:21,000 --> 00:05:23,039 Speaker 3: Secretary of Health and Human Services, as well as some 114 00:05:23,120 --> 00:05:27,040 Speaker 3: other medical professionals, making a grand pronouncement that they believe 115 00:05:27,160 --> 00:05:32,279 Speaker 3: that tilanal while tailanil used while pregnant can lead to autism. 116 00:05:32,320 --> 00:05:33,280 Speaker 1: Here's what they had to say. 117 00:05:33,480 --> 00:05:35,600 Speaker 5: Be very careful with what he says, and he should. 118 00:05:35,680 --> 00:05:38,159 Speaker 5: But I'm not so careful with what I say. But 119 00:05:38,240 --> 00:05:42,000 Speaker 5: you have certain groups see Amish as an example. They 120 00:05:42,000 --> 00:05:48,440 Speaker 5: have essentially no autism first effective immediately, the FDA will 121 00:05:48,480 --> 00:05:52,360 Speaker 5: be notifying physicians at the use of I said. 122 00:05:52,680 --> 00:05:59,160 Speaker 6: Well, let's see how we say that. I said, menifin Aceta. 123 00:05:59,240 --> 00:06:05,719 Speaker 5: Menifin said okay, which is basically commonly known as Thailand 124 00:06:05,800 --> 00:06:13,360 Speaker 5: all during pregnancy can be associated with a very increased 125 00:06:14,320 --> 00:06:15,320 Speaker 5: risk of autism. 126 00:06:15,680 --> 00:06:18,800 Speaker 6: Don't do it. Break up your visits to the doctors, 127 00:06:18,839 --> 00:06:19,480 Speaker 6: break them up. 128 00:06:19,520 --> 00:06:22,760 Speaker 5: Do it in five if you can. Now it's inconvenient. 129 00:06:23,040 --> 00:06:25,240 Speaker 5: It's inconvenient. Now you've got to have to go back 130 00:06:25,279 --> 00:06:28,000 Speaker 5: another year later. You're going to go back each year 131 00:06:28,080 --> 00:06:31,200 Speaker 5: for four years, five years, three years. Just break it up, 132 00:06:32,080 --> 00:06:37,120 Speaker 5: break it up because it's too much liquid. Too many 133 00:06:37,320 --> 00:06:41,200 Speaker 5: different things are going into that baby at too big 134 00:06:41,200 --> 00:06:43,920 Speaker 5: a number. The size of this thing when you look 135 00:06:43,960 --> 00:06:49,719 Speaker 5: at it, it's like eighty different vaccines and beyond vaccines and. 136 00:06:50,440 --> 00:06:53,320 Speaker 6: Eighty then you give that to a little kid. 137 00:06:53,360 --> 00:06:56,719 Speaker 5: Of this country is going through what parts of the 138 00:06:56,760 --> 00:06:57,599 Speaker 5: world are going through. 139 00:06:57,640 --> 00:06:59,000 Speaker 6: And I will say there are parts of the world 140 00:06:59,080 --> 00:06:59,919 Speaker 6: that don't take tailer. 141 00:07:01,000 --> 00:07:02,880 Speaker 5: I mean, there's a rumor, and I don't know if 142 00:07:02,880 --> 00:07:05,640 Speaker 5: it's so or not, that Cuba they don't have tailand 143 00:07:05,720 --> 00:07:07,520 Speaker 5: because they don't have the money to fit tiland all 144 00:07:08,360 --> 00:07:10,760 Speaker 5: and they have virtually no autism. 145 00:07:10,840 --> 00:07:14,239 Speaker 6: Okay, tell me about that one. And there are other. 146 00:07:14,080 --> 00:07:16,200 Speaker 5: Parts of the world where they don't have tail and all, 147 00:07:16,240 --> 00:07:18,360 Speaker 5: where they don't have autism. 148 00:07:19,320 --> 00:07:20,160 Speaker 6: That tells you a lot. 149 00:07:20,760 --> 00:07:24,320 Speaker 3: So that's a small flavor of the Trump press conference 150 00:07:24,480 --> 00:07:26,440 Speaker 3: more just yeah, there was a hell of a lot more, 151 00:07:26,480 --> 00:07:28,200 Speaker 3: though we just did our best to kind of disteal 152 00:07:28,240 --> 00:07:30,920 Speaker 3: it down. I guess I'll try to focus on the 153 00:07:30,920 --> 00:07:33,920 Speaker 3: seriousness of it, because while it is Trump being Trump, 154 00:07:34,000 --> 00:07:37,280 Speaker 3: it's also, you know, a major pronouncement from his administration. 155 00:07:37,400 --> 00:07:41,360 Speaker 3: The administration released a new fact sheet basically requiring a 156 00:07:41,400 --> 00:07:46,080 Speaker 3: new warning label on tailanol, which is currently the only 157 00:07:46,200 --> 00:07:52,240 Speaker 3: pain reliever which doctors recommend to pregnant women for pain relief. 158 00:07:52,680 --> 00:07:55,840 Speaker 3: This has been the center of not controversy per se, 159 00:07:55,840 --> 00:07:58,200 Speaker 3: but of study now for quite some time. Ryan, we 160 00:07:58,240 --> 00:08:00,640 Speaker 3: have pulled all the data that we can get into. 161 00:08:00,760 --> 00:08:02,040 Speaker 3: But do you have anything you want to say before 162 00:08:02,040 --> 00:08:05,200 Speaker 3: we play RFK Junior. Uh No, Let's go to RK Okay, 163 00:08:05,240 --> 00:08:07,440 Speaker 3: all right, let's play RFK junior again. I want to 164 00:08:07,520 --> 00:08:09,960 Speaker 3: lay out the administration's case and then I'll present you 165 00:08:10,040 --> 00:08:10,640 Speaker 3: the other side. 166 00:08:10,800 --> 00:08:13,760 Speaker 1: Let's take a listen to RFK HHS once. 167 00:08:13,880 --> 00:08:18,560 Speaker 7: Therefore, to encourage clinicians to exercise their best judgment and 168 00:08:18,680 --> 00:08:21,920 Speaker 7: the use of a metaphine for fevers and pain and pregnancy, 169 00:08:22,720 --> 00:08:27,200 Speaker 7: I prescribing the lowest effective dose the short is necessary 170 00:08:27,640 --> 00:08:32,880 Speaker 7: duration and only when treatment is required. Furthermore, thanks to 171 00:08:33,280 --> 00:08:37,320 Speaker 7: also to the politicization of science, the safety of us 172 00:08:37,320 --> 00:08:41,200 Speaker 7: AT a metaphin against the risk of neurodevelopmental disorders and 173 00:08:41,320 --> 00:08:47,280 Speaker 7: young children has never been validated. Prudent medicine therefore suggests 174 00:08:47,400 --> 00:08:53,280 Speaker 7: caution a set of metaphine use young children, especially in 175 00:08:53,440 --> 00:08:58,920 Speaker 7: strong evidence also has associated it with liver toxicity. Steady 176 00:08:59,280 --> 00:09:01,240 Speaker 7: also found the use for a set of menphant and 177 00:09:01,320 --> 00:09:07,079 Speaker 7: children can potentially prolong viral illnesses able to have new 178 00:09:07,160 --> 00:09:11,960 Speaker 7: research to safeguard mothers, children and families. In addition to 179 00:09:12,040 --> 00:09:16,640 Speaker 7: a possible set of connection to autism for pregnant women, 180 00:09:17,440 --> 00:09:21,599 Speaker 7: infants in toddlers, our research has revealed that foliate deficiency 181 00:09:22,440 --> 00:09:25,720 Speaker 7: and a child's brain can lead to autism. We have 182 00:09:25,880 --> 00:09:29,800 Speaker 7: also identified an exciting therapy that may benefit large numbers 183 00:09:29,800 --> 00:09:33,920 Speaker 7: of children who suffer from autism. Peer reviewed literature has 184 00:09:33,960 --> 00:09:36,840 Speaker 7: documented that up to sixty percent of full late deficient 185 00:09:36,920 --> 00:09:42,200 Speaker 7: children with ASD and if improverbal communications if given luc 186 00:09:42,240 --> 00:09:42,680 Speaker 7: of orn. 187 00:09:43,200 --> 00:09:45,680 Speaker 3: For those who are just listening, ASD are not familiar 188 00:09:45,679 --> 00:09:48,280 Speaker 3: with the term as autism, spectrum and disorder, and so 189 00:09:49,040 --> 00:09:52,600 Speaker 3: what they cite is largely a couple of studies, including 190 00:09:52,640 --> 00:09:55,000 Speaker 3: one that just came out from Harvard University in which 191 00:09:55,040 --> 00:09:57,240 Speaker 3: they said that there may be a link. 192 00:09:57,320 --> 00:09:58,360 Speaker 1: I do think it's important. 193 00:09:58,679 --> 00:10:01,160 Speaker 3: I spent a lot of time actually on this very 194 00:10:01,240 --> 00:10:03,840 Speaker 3: question when my wife was pregnant, and we both went 195 00:10:03,960 --> 00:10:06,640 Speaker 3: through all of the data. The single best data set 196 00:10:06,679 --> 00:10:08,480 Speaker 3: that exists is actually this one. We can go ahead 197 00:10:08,480 --> 00:10:11,080 Speaker 3: and put this up here on the screen. This is 198 00:10:11,240 --> 00:10:15,920 Speaker 3: from a study of some two and a half million children. 199 00:10:16,400 --> 00:10:18,480 Speaker 3: What they looked at was a seed of menaphin use 200 00:10:18,760 --> 00:10:22,600 Speaker 3: during pregnancy and a children's risk of autism, ADHD and 201 00:10:22,720 --> 00:10:26,719 Speaker 3: intellectual disability. Their end result that they ultimately found was 202 00:10:26,800 --> 00:10:31,360 Speaker 3: quote to address unobserved confounding. Matched full sibling pairs were 203 00:10:31,400 --> 00:10:34,719 Speaker 3: also analyzed. Siblic control analyzes found no evidence of seed 204 00:10:34,760 --> 00:10:37,560 Speaker 3: of menafin use during pregnancy was associated with autism. So 205 00:10:37,640 --> 00:10:40,320 Speaker 3: let me just reiterate what that said. It said that 206 00:10:40,480 --> 00:10:46,320 Speaker 3: in this population based study, models without sibling control identified 207 00:10:46,400 --> 00:10:51,360 Speaker 3: marginally increased you at risk of autism and ADHD associated 208 00:10:51,400 --> 00:10:56,520 Speaker 3: with cedamnaphin use during pregnancy. However, analyzes of matched full 209 00:10:56,559 --> 00:10:59,920 Speaker 3: sabling pairs then found no evidence of increased risk of 210 00:11:00,120 --> 00:11:05,040 Speaker 3: autism with a hazard ratio, ADHD or intellectual disability. So basically, 211 00:11:05,240 --> 00:11:07,560 Speaker 3: to break that down from doctor speak, and I've spoken 212 00:11:07,559 --> 00:11:10,000 Speaker 3: with a couple of doctors in preparation for this segment, 213 00:11:10,160 --> 00:11:12,720 Speaker 3: is that if you look at it without sibling control, 214 00:11:12,960 --> 00:11:14,640 Speaker 3: you could see it. If you don't look if you 215 00:11:14,679 --> 00:11:16,480 Speaker 3: look if you don't look at it with sibling control, 216 00:11:16,520 --> 00:11:18,080 Speaker 3: you could see it. If you do look at it 217 00:11:18,080 --> 00:11:21,600 Speaker 3: with sibling control, then it largely disappears, and so I. 218 00:11:21,559 --> 00:11:22,480 Speaker 1: Do think that's important. 219 00:11:22,640 --> 00:11:24,360 Speaker 3: There is also a chart here that we should put 220 00:11:24,360 --> 00:11:28,280 Speaker 3: here up on the screen. This is one specifically about 221 00:11:28,280 --> 00:11:31,320 Speaker 3: tailan al use. Does it increase the risk of various 222 00:11:31,400 --> 00:11:34,920 Speaker 3: newerve and developmental conditions? Same thing results on base two 223 00:11:34,960 --> 00:11:38,920 Speaker 3: point four million Sweetish children born between ninety five and 224 00:11:39,000 --> 00:11:42,679 Speaker 3: twenty nineteen. And you can actually see the chart there 225 00:11:42,720 --> 00:11:45,079 Speaker 3: and the flat use of no use, low dose, medium 226 00:11:45,160 --> 00:11:48,679 Speaker 3: duce and high dose if you're just looking for the association. 227 00:11:48,840 --> 00:11:52,040 Speaker 3: And they say the only problem, according to the person 228 00:11:52,040 --> 00:11:54,200 Speaker 3: who put this chart together is quote, the only problem 229 00:11:54,240 --> 00:11:56,120 Speaker 3: with doing that is that we have strong causal evidence 230 00:11:56,120 --> 00:11:59,000 Speaker 3: of talent al does not cause autism. Exposed siblings are 231 00:11:59,000 --> 00:12:02,240 Speaker 3: no more likely to be autistic than the unexposed. I 232 00:12:02,280 --> 00:12:06,120 Speaker 3: do think this is medically a very important thing because Ryan, 233 00:12:06,160 --> 00:12:07,880 Speaker 3: as you know, your wife has been through way more 234 00:12:07,920 --> 00:12:10,400 Speaker 3: pregnancies than mine. But I mean, one of the things 235 00:12:10,440 --> 00:12:13,360 Speaker 3: that they do tell you is don't use you know, 236 00:12:13,440 --> 00:12:17,360 Speaker 3: insaates like things like ibuprofen or other over the counter 237 00:12:17,920 --> 00:12:20,880 Speaker 3: pain relievers. And one of the messages that the President 238 00:12:20,960 --> 00:12:24,240 Speaker 3: kept hammering home was just grin and bear it, which 239 00:12:24,440 --> 00:12:27,000 Speaker 3: you know, look I mean, it's kind of barbaric if 240 00:12:27,040 --> 00:12:30,040 Speaker 3: you ask me, because one of the things here, and 241 00:12:30,120 --> 00:12:32,640 Speaker 3: I'm not an expert on title and all, I'm willing. 242 00:12:32,400 --> 00:12:34,240 Speaker 1: To believe I do. 243 00:12:34,400 --> 00:12:36,120 Speaker 3: I will say this, this is my own personal bias 244 00:12:36,160 --> 00:12:39,320 Speaker 3: based on some emerging evidence around a set of menafin 245 00:12:40,200 --> 00:12:43,000 Speaker 3: insates and all these other things. Is people pop these 246 00:12:43,000 --> 00:12:45,240 Speaker 3: things like candy and you just really have no idea 247 00:12:45,240 --> 00:12:47,760 Speaker 3: what's going on, Like you take them all the time. 248 00:12:47,960 --> 00:12:50,760 Speaker 3: There are people who take two ibuprofen or advila or 249 00:12:50,800 --> 00:12:53,280 Speaker 3: whatever in the morning and they don't think about the 250 00:12:53,280 --> 00:12:55,880 Speaker 3: effect on the gut, microbiome or all these other things. 251 00:12:55,880 --> 00:12:58,600 Speaker 1: And I'm just not willing to believe it's costless. 252 00:12:58,640 --> 00:13:01,080 Speaker 3: I don't believe that for any metic So I would 253 00:13:01,120 --> 00:13:04,680 Speaker 3: say in general, you know, my personal view was, you know, 254 00:13:04,840 --> 00:13:07,600 Speaker 3: use it as little as possible. But to say don't 255 00:13:07,679 --> 00:13:09,440 Speaker 3: use it at all, I don't know. I don't see 256 00:13:09,480 --> 00:13:12,600 Speaker 3: the current evidence for that. That's in the data. And 257 00:13:12,679 --> 00:13:15,200 Speaker 3: by the way, they didn't release any new data. They're 258 00:13:15,320 --> 00:13:18,439 Speaker 3: pointing very specifically of the studies I laid out point 259 00:13:18,440 --> 00:13:20,400 Speaker 3: of this study. They also point to that new Harvard 260 00:13:20,480 --> 00:13:24,120 Speaker 3: University study. As I said, however, the doctors and the 261 00:13:24,120 --> 00:13:26,840 Speaker 3: researchers who I spoke to told me that that did 262 00:13:26,880 --> 00:13:30,600 Speaker 3: not have as many good controls in it for its research. 263 00:13:30,640 --> 00:13:33,199 Speaker 3: But you know, I'm gonna present the case for it 264 00:13:33,360 --> 00:13:36,320 Speaker 3: for what it is, just broadly, though it seems very 265 00:13:36,320 --> 00:13:41,000 Speaker 3: simplistic to what is obviously a multifactorial rise in autism. 266 00:13:41,320 --> 00:13:43,080 Speaker 4: Yeah, And one fear I have out of this is 267 00:13:43,080 --> 00:13:46,480 Speaker 4: that people will see all of this coverage of the 268 00:13:46,600 --> 00:13:49,319 Speaker 4: dangers of thailanal when it comes to autism or other 269 00:13:49,320 --> 00:13:54,439 Speaker 4: intellectual disabilities for pregnant women, and then they will move 270 00:13:54,480 --> 00:13:58,480 Speaker 4: to aspirin, you know, or advil. But even as as 271 00:13:58,480 --> 00:14:01,240 Speaker 4: Trump himself said at the prest Cooms yesterday, he said, 272 00:14:01,559 --> 00:14:05,160 Speaker 4: we know for sure those are dangerous. So he said, 273 00:14:05,200 --> 00:14:07,760 Speaker 4: don't take those. And he's right about that. Yeah, So 274 00:14:07,840 --> 00:14:10,559 Speaker 4: don't forget that. Now we're talking when we get into 275 00:14:10,559 --> 00:14:12,920 Speaker 4: the realm of talannel, he's saying, well, we don't really know, 276 00:14:13,040 --> 00:14:17,560 Speaker 4: but you might want to be cautious, probably right, we don't, 277 00:14:17,760 --> 00:14:18,720 Speaker 4: we don't, we don't. 278 00:14:18,520 --> 00:14:20,400 Speaker 3: Know, and so just popping them like, no one can 279 00:14:20,440 --> 00:14:23,400 Speaker 3: say it's totally safe, right, It's like, and even that 280 00:14:23,640 --> 00:14:27,560 Speaker 3: question of totally safe is not really a perfect way 281 00:14:27,600 --> 00:14:28,400 Speaker 3: of talking about it. 282 00:14:28,440 --> 00:14:30,040 Speaker 1: I mean, it's like that Thomas Soul quote. 283 00:14:30,040 --> 00:14:33,080 Speaker 3: It's like it's everything is trade offs, right, Like everything 284 00:14:33,120 --> 00:14:34,360 Speaker 3: is a trade off of something. If you're in a 285 00:14:34,360 --> 00:14:36,480 Speaker 3: lot of pain, you have a lot of fever, well 286 00:14:36,520 --> 00:14:38,800 Speaker 3: taking is going to make you feel better one of things. 287 00:14:39,040 --> 00:14:41,080 Speaker 4: Yeah, go ahead, not just feel better. Yeah, we do 288 00:14:41,240 --> 00:14:45,520 Speaker 4: know for a fact that a fever has risks. 289 00:14:45,800 --> 00:14:49,840 Speaker 3: Exactly, right, A fever ass risk, right, you have inflammation risk. 290 00:14:50,240 --> 00:14:53,880 Speaker 3: I think brain swelling is particularly a high high higher fever. Right, 291 00:14:54,160 --> 00:14:56,880 Speaker 3: And then you know in general, I don't know. This 292 00:14:56,920 --> 00:14:59,680 Speaker 3: is one where Look, my broad takeaway from this thing 293 00:14:59,880 --> 00:15:01,360 Speaker 3: is you shouldn't trust RFK Junior. 294 00:15:01,360 --> 00:15:01,800 Speaker 1: He shouldn't. 295 00:15:01,800 --> 00:15:04,280 Speaker 3: He definitely should not trust Donald Trump for his personal 296 00:15:04,280 --> 00:15:06,800 Speaker 3: medical advice. What I actually thought was fascinating from his 297 00:15:06,880 --> 00:15:08,720 Speaker 3: press conference is he kept being like, this is just 298 00:15:08,800 --> 00:15:09,560 Speaker 3: me saying this. 299 00:15:09,840 --> 00:15:11,840 Speaker 1: It may not be the people behind them. 300 00:15:11,720 --> 00:15:15,000 Speaker 3: Because actually, if you read the text of the FDA order, 301 00:15:15,080 --> 00:15:17,520 Speaker 3: they basically cite what we just said. They're like, yeah, 302 00:15:17,640 --> 00:15:21,160 Speaker 3: it may you should be careful, consult with your doctor. 303 00:15:21,440 --> 00:15:23,960 Speaker 3: But Trump straight up was like, don't take Tyland all. 304 00:15:24,120 --> 00:15:26,240 Speaker 3: He said it over and over and over again. He's like, 305 00:15:26,280 --> 00:15:29,200 Speaker 3: do not take tylan and all. He also talked about 306 00:15:29,320 --> 00:15:32,440 Speaker 3: us spreading out the number of vaccine doses. That's another 307 00:15:32,520 --> 00:15:34,480 Speaker 3: different We can return to that. This is a whole 308 00:15:34,480 --> 00:15:39,160 Speaker 3: other conversation, but let's stick with tilanol specifically and autism, 309 00:15:39,200 --> 00:15:42,320 Speaker 3: because this is an interesting question. It's one Crystal and 310 00:15:42,320 --> 00:15:45,800 Speaker 3: I actually touched on in our AM yesterday. They're prevailing 311 00:15:45,920 --> 00:15:50,560 Speaker 3: theories and they actually kind of fall into different ideological camps. 312 00:15:50,800 --> 00:15:55,240 Speaker 3: Number One, the most prevalent is diagnostic, as in, we 313 00:15:55,360 --> 00:15:57,120 Speaker 3: just diagnosed a hell of a lot more people and 314 00:15:57,200 --> 00:16:00,840 Speaker 3: have expanded the definition of autism, Whereas twenty thirty years 315 00:16:00,840 --> 00:16:03,160 Speaker 3: ago you've been like, yeah, they're a little off right, 316 00:16:03,240 --> 00:16:06,920 Speaker 3: you know something, and now exactly you know And now actually, 317 00:16:06,920 --> 00:16:08,640 Speaker 3: one of the moms who spoke with the press conferences 318 00:16:08,720 --> 00:16:10,760 Speaker 3: even said, I don't like this spectrum. 319 00:16:10,800 --> 00:16:14,040 Speaker 1: She's like, you're either fully autistic or you're just not right. 320 00:16:14,400 --> 00:16:15,160 Speaker 1: And I know that. 321 00:16:15,400 --> 00:16:18,000 Speaker 3: Again, I'm not in an autistic family or whatever. Like, 322 00:16:18,040 --> 00:16:19,720 Speaker 3: I'm not going to sit here in police the terms. 323 00:16:19,720 --> 00:16:21,760 Speaker 3: I'm just like, we're dealing with reality. The point is 324 00:16:21,920 --> 00:16:25,000 Speaker 3: that diagnostics is one of the prevailing theories of the 325 00:16:25,000 --> 00:16:30,560 Speaker 3: medical community now, MAHA and RFK junior have long attacked 326 00:16:30,720 --> 00:16:36,520 Speaker 3: diagnostics because what they're saying is that diagnostics itself absolves, 327 00:16:36,840 --> 00:16:42,600 Speaker 3: absolves environmental and pharmaceutical potential causes of autism. What I 328 00:16:42,680 --> 00:16:45,840 Speaker 3: find very frustrating about both of those is that they're 329 00:16:45,880 --> 00:16:52,520 Speaker 3: deeply simplistic. It's obviously multifactorial. It could be diagnostic. I'm 330 00:16:52,760 --> 00:16:58,640 Speaker 3: it's obviously some level of diagnostic. The other is going 331 00:16:58,680 --> 00:17:03,800 Speaker 3: to be changes in maternal and paternal age. Right, So, 332 00:17:03,880 --> 00:17:06,760 Speaker 3: for example, you know you have forty fifty, sixty, seventy 333 00:17:06,800 --> 00:17:09,440 Speaker 3: eighty year olds in the US having children. I mean, 334 00:17:09,720 --> 00:17:13,119 Speaker 3: come on, like, it's yeah, men in particular, right, you 335 00:17:13,160 --> 00:17:15,160 Speaker 3: don't need to be a doctor to say, yeah, it's 336 00:17:15,160 --> 00:17:18,359 Speaker 3: a little weird. Obviously has never happened before. That's probably 337 00:17:18,400 --> 00:17:20,959 Speaker 3: going to change some thing. Same with maternal age, right, 338 00:17:21,040 --> 00:17:23,719 Speaker 3: So the average birthing age in the US now is 339 00:17:23,760 --> 00:17:25,920 Speaker 3: like much higher than it was, let's say, in the 340 00:17:26,000 --> 00:17:30,080 Speaker 3: nineteen fifties. Again, you know, geriatric pregnancy is not a 341 00:17:30,200 --> 00:17:32,879 Speaker 3: term that should be used to put anybody down. I 342 00:17:32,920 --> 00:17:34,440 Speaker 3: want to make that very very clear, but it is 343 00:17:34,480 --> 00:17:37,600 Speaker 3: a medical term that is used for specific purposes, right, 344 00:17:37,960 --> 00:17:39,800 Speaker 3: So let's leave that on the side. 345 00:17:39,840 --> 00:17:41,800 Speaker 1: Then there is also again, this is. 346 00:17:41,720 --> 00:17:45,879 Speaker 3: Where MAHA really focuses on pharmaceutical and environmental. So what 347 00:17:46,000 --> 00:17:50,520 Speaker 3: I mean by that is largely vaccines, pain relievers, environmental 348 00:17:50,800 --> 00:17:55,440 Speaker 3: there's all kinds of different theories, microplastics like you said, herbicide, 349 00:17:55,560 --> 00:18:00,439 Speaker 3: et cetera, processed food. What I always find frust is 350 00:18:00,440 --> 00:18:02,760 Speaker 3: we never talk about obesity. I mean, one of the 351 00:18:02,800 --> 00:18:04,919 Speaker 3: things that's happened in this country is being massively and 352 00:18:04,960 --> 00:18:09,159 Speaker 3: morbidly obese, pre diabetic and or diabetic of the population. 353 00:18:09,359 --> 00:18:12,800 Speaker 3: And I mentioned this in our Ama yesterday. But a 354 00:18:12,800 --> 00:18:16,040 Speaker 3: woman I really respect, doctor Ronda Patrick, had done She 355 00:18:16,280 --> 00:18:20,880 Speaker 3: put out some initial research on obesity and then how 356 00:18:20,960 --> 00:18:25,239 Speaker 3: that affects both the mother for fertility but also for 357 00:18:25,280 --> 00:18:29,560 Speaker 3: the genetic expression. I'm getting into like stuff, which again 358 00:18:29,720 --> 00:18:32,119 Speaker 3: none of this has proven so and also take everything 359 00:18:32,160 --> 00:18:34,320 Speaker 3: I say medically with the grant of salt to but 360 00:18:34,640 --> 00:18:38,240 Speaker 3: what they pointed to was that there was some like 361 00:18:38,480 --> 00:18:42,080 Speaker 3: limited evidence here about genetic expression. And it makes sense 362 00:18:42,200 --> 00:18:46,159 Speaker 3: if you are obese and you smoke marijuana THC. And 363 00:18:46,200 --> 00:18:50,400 Speaker 3: you drink alcohol and you have very low testosterone because 364 00:18:50,400 --> 00:18:52,160 Speaker 3: you don't sleep a lot, and you don't work out, 365 00:18:52,240 --> 00:18:54,719 Speaker 3: you don't lift any weights. Of course, your sperm count 366 00:18:54,960 --> 00:18:58,119 Speaker 3: is going to be dramatically diminished. And you know, the 367 00:18:58,200 --> 00:19:01,000 Speaker 3: DNA and all the you think about it's like almost 368 00:19:01,040 --> 00:19:04,120 Speaker 3: like radiate. It's again not one to one. What I'm saying, though, 369 00:19:04,200 --> 00:19:07,320 Speaker 3: is that bad lifestyle choices, which, let's be honest, the 370 00:19:07,400 --> 00:19:10,840 Speaker 3: vast majority of Americans currently practice. If you're using all 371 00:19:10,880 --> 00:19:15,080 Speaker 3: of these substances and you are you know, in a 372 00:19:15,160 --> 00:19:18,840 Speaker 3: not in a healthy lifestyle or eating a healthy diet, 373 00:19:19,280 --> 00:19:22,200 Speaker 3: that also could have a major impact. I mean, they 374 00:19:22,240 --> 00:19:25,520 Speaker 3: talk about folate there, right, and that's one an interesting 375 00:19:25,800 --> 00:19:28,200 Speaker 3: where almost all of that could be cured by diet. 376 00:19:28,359 --> 00:19:30,080 Speaker 3: Like you know, I was looking into that again. I 377 00:19:30,119 --> 00:19:33,000 Speaker 3: spent so much time on this when my wife was pregnant. 378 00:19:33,000 --> 00:19:36,080 Speaker 3: And this is part of the reason why prenatal vitamins 379 00:19:36,080 --> 00:19:39,119 Speaker 3: are really important, right for folic acid, because in the 380 00:19:39,200 --> 00:19:42,040 Speaker 3: very early days of fetal development, that's when they need 381 00:19:42,040 --> 00:19:44,399 Speaker 3: the folic acid the most. For I think it's their 382 00:19:44,440 --> 00:19:47,919 Speaker 3: brain stem, the further fetus. But there's also you know, 383 00:19:48,160 --> 00:19:50,639 Speaker 3: iron levels and other things where if you're not eating 384 00:19:50,720 --> 00:19:54,000 Speaker 3: a very very balanced diet and eating like wild caught 385 00:19:54,040 --> 00:19:57,600 Speaker 3: Alaskan fish and you know, like making which you know 386 00:19:57,640 --> 00:20:00,440 Speaker 3: when you're in your first trimester, you're living off salting 387 00:20:00,480 --> 00:20:01,880 Speaker 3: crackers and puking your guts out. 388 00:20:02,080 --> 00:20:02,600 Speaker 1: Not easy. 389 00:20:02,960 --> 00:20:06,240 Speaker 3: So my point is just that I find the lack 390 00:20:06,240 --> 00:20:09,080 Speaker 3: of nuance here from the government, like frankly appalling, because 391 00:20:09,560 --> 00:20:13,280 Speaker 3: I think it just pushes more of the burden on 392 00:20:13,400 --> 00:20:15,160 Speaker 3: mothers who it's hard. 393 00:20:15,200 --> 00:20:18,280 Speaker 1: Man. I watched her go through it. It's fucking hard. 394 00:20:18,400 --> 00:20:21,119 Speaker 3: I mean, you know, especially the way our society is 395 00:20:21,119 --> 00:20:24,359 Speaker 3: currently structured. When they're working in the first and second triment, 396 00:20:24,440 --> 00:20:26,840 Speaker 3: or even in the third trimester and they're having difficulty 397 00:20:26,880 --> 00:20:29,080 Speaker 3: walking and that you know, people other people who are 398 00:20:29,160 --> 00:20:31,320 Speaker 3: childless in the office, they don't care and they're asked, 399 00:20:31,359 --> 00:20:33,560 Speaker 3: you know, have no consideration for any of this, or 400 00:20:33,600 --> 00:20:36,359 Speaker 3: taking the subway or the metro and walking ten thousands 401 00:20:36,359 --> 00:20:37,720 Speaker 3: So try doing that whenever. 402 00:20:37,520 --> 00:20:39,840 Speaker 1: Your belly is you know, all the way out over here. 403 00:20:39,920 --> 00:20:42,920 Speaker 3: So I just I find like this, honestly kind of 404 00:20:42,960 --> 00:20:44,000 Speaker 3: appalling from the government. 405 00:20:46,640 --> 00:20:49,720 Speaker 4: They tried to work a little nuance into the press 406 00:20:49,720 --> 00:20:51,640 Speaker 4: statements that they put out. It looks like you can 407 00:20:51,640 --> 00:20:54,760 Speaker 4: almost see if you squint, the tug of war going on, 408 00:20:54,960 --> 00:20:56,879 Speaker 4: and we can maybe add this in post. But so 409 00:20:57,000 --> 00:21:00,399 Speaker 4: the first paragraph of their press statement seems like written 410 00:21:00,440 --> 00:21:03,800 Speaker 4: by RFK. Second one by some of the dog lower 411 00:21:03,880 --> 00:21:07,600 Speaker 4: level doctors. They say, the US Food and Drug Administrations 412 00:21:07,640 --> 00:21:10,800 Speaker 4: today initiated the process for a label change for acetamenophin 413 00:21:11,040 --> 00:21:14,600 Speaker 4: TILE and all in similar products to reflect evidence suggesting 414 00:21:14,600 --> 00:21:17,399 Speaker 4: that the use of acetamenaphin by pregnant women may be 415 00:21:17,520 --> 00:21:20,960 Speaker 4: associated with an increased risk of neurological conditions such as 416 00:21:21,040 --> 00:21:24,040 Speaker 4: autism and ADHD in children. So that's the first paragraph. 417 00:21:24,359 --> 00:21:27,399 Speaker 4: The second paragraph then goes. It is important to note 418 00:21:27,520 --> 00:21:31,240 Speaker 4: that while an association between a cedum menaphin and neurological 419 00:21:31,280 --> 00:21:35,520 Speaker 4: conditions has been described in many studies, notice that language 420 00:21:35,920 --> 00:21:39,840 Speaker 4: a causal relationship has not been established, and there are 421 00:21:39,960 --> 00:21:43,920 Speaker 4: contrary studies in the scientific literature. It is also noted 422 00:21:43,960 --> 00:21:47,879 Speaker 4: that acetamenaphin is the only over the counter drug approved 423 00:21:47,920 --> 00:21:51,680 Speaker 4: for use to treat fevers during pregnancy, and high fevers 424 00:21:51,680 --> 00:21:55,919 Speaker 4: in pregnant women can pose a risk to their children. Additionally, 425 00:21:55,960 --> 00:22:01,080 Speaker 4: aspirin and ibuprofen have well documented adverse impact on the fetus. 426 00:22:01,160 --> 00:22:03,399 Speaker 4: Very much screams like the sciences were like, all right, 427 00:22:03,400 --> 00:22:04,879 Speaker 4: if you're going to do this, let us write the 428 00:22:04,920 --> 00:22:05,680 Speaker 4: second paragraph. 429 00:22:05,840 --> 00:22:09,679 Speaker 3: Yeah, exactly, And actually the only person who kind of 430 00:22:09,680 --> 00:22:13,639 Speaker 3: made any sense during that, in my opinion, was Marty 431 00:22:14,160 --> 00:22:16,840 Speaker 3: and Jay Boticharia. So we can go in and play 432 00:22:17,040 --> 00:22:20,720 Speaker 3: some of what they said, because they pointed to a potential, 433 00:22:21,080 --> 00:22:24,280 Speaker 3: you know, new drug for potential treatment of autism, and 434 00:22:24,359 --> 00:22:26,360 Speaker 3: I did check with a couple of doctors and there's 435 00:22:26,680 --> 00:22:29,159 Speaker 3: relatively mixed evidence. But the new FDA approval and all 436 00:22:29,160 --> 00:22:32,720 Speaker 3: of that, especially with coverage under chips and Medicaid, seems like, 437 00:22:32,920 --> 00:22:35,720 Speaker 3: you know, listen, why try something if it has decent 438 00:22:35,840 --> 00:22:39,720 Speaker 3: enough evidence behind it. But second from Jay Boticharia was like, 439 00:22:39,760 --> 00:22:42,120 Speaker 3: we're going to throw a lot of money at these studies. 440 00:22:42,200 --> 00:22:44,720 Speaker 3: That was the solution the whole time, right, like to 441 00:22:44,840 --> 00:22:48,200 Speaker 3: at least again to me, because relying on observational Swedish 442 00:22:48,200 --> 00:22:51,439 Speaker 3: study or this Harvard it's like these are not run 443 00:22:51,680 --> 00:22:55,080 Speaker 3: currently massive data sets other than the Swedish one, which 444 00:22:55,160 --> 00:22:58,720 Speaker 3: didn't find the link, and it also was not controlled 445 00:22:58,720 --> 00:23:01,600 Speaker 3: properly or funded by the government. Like you just cut 446 00:23:01,640 --> 00:23:05,080 Speaker 3: all these mRNA, which fine, you should at least try 447 00:23:05,119 --> 00:23:07,240 Speaker 3: and channel it, you know, into these same things to 448 00:23:07,280 --> 00:23:10,280 Speaker 3: find some scientific evidence and then see where the data 449 00:23:10,320 --> 00:23:12,119 Speaker 3: takes you. But it seemed to me like they started 450 00:23:12,119 --> 00:23:14,359 Speaker 3: off with conclusion that they were under a kind of 451 00:23:14,440 --> 00:23:17,439 Speaker 3: intense pressure on the autism question. They didn't want to 452 00:23:17,440 --> 00:23:21,119 Speaker 3: go fully down the road of pulling the MMR vaccine, 453 00:23:21,240 --> 00:23:23,800 Speaker 3: or at least for now, you know, that's still kind 454 00:23:23,840 --> 00:23:26,280 Speaker 3: of up up in the air again, separate question, which 455 00:23:26,280 --> 00:23:28,520 Speaker 3: we could spend hours on here if we wanted to. 456 00:23:28,600 --> 00:23:32,000 Speaker 3: But broadly, it just seemed to me like they were 457 00:23:32,080 --> 00:23:34,240 Speaker 3: under the gun. They needed to come up with something. 458 00:23:34,440 --> 00:23:36,760 Speaker 3: They need a big press conference, you know, maybe to 459 00:23:36,800 --> 00:23:39,800 Speaker 3: distract from certain other things that are going on here, 460 00:23:39,840 --> 00:23:43,359 Speaker 3: and this was like their big banner to start a conversation. 461 00:23:43,480 --> 00:23:45,800 Speaker 1: So with that, let me play this a six. Let's 462 00:23:45,800 --> 00:23:46,320 Speaker 1: take a listen. 463 00:23:46,600 --> 00:23:49,399 Speaker 8: Today, the FDA is finally a federal register notice to 464 00:23:49,480 --> 00:23:52,760 Speaker 8: change the label on an exciting treatment called prescription luk 465 00:23:52,800 --> 00:23:55,359 Speaker 8: of orn so that it can be available to children 466 00:23:55,400 --> 00:23:58,760 Speaker 8: with autism. You know, autism may also be due to 467 00:23:58,800 --> 00:24:02,720 Speaker 8: a autoimmune action to a folate receptor on the brain, 468 00:24:02,840 --> 00:24:06,959 Speaker 8: not allowing that important vitamin to get into the brain cells. 469 00:24:07,800 --> 00:24:11,280 Speaker 8: It's an fairly established mature pathway. Again, we have a 470 00:24:11,359 --> 00:24:13,960 Speaker 8: duty to let doctors in the public know we're going 471 00:24:14,040 --> 00:24:16,439 Speaker 8: to change the label to make it available. Hundreds of 472 00:24:16,480 --> 00:24:19,679 Speaker 8: thousands of kids, in my opinion, will benefit. One study 473 00:24:19,720 --> 00:24:23,040 Speaker 8: found that with kids with autism and chronic folate deficiency, 474 00:24:23,440 --> 00:24:27,639 Speaker 8: two thirds of kids with autism symptoms had improvement and 475 00:24:27,720 --> 00:24:29,359 Speaker 8: some market improvement. 476 00:24:29,560 --> 00:24:31,520 Speaker 3: All right, so that's the new drug that they are 477 00:24:31,560 --> 00:24:33,240 Speaker 3: touting here A seven. We can go in and put 478 00:24:33,280 --> 00:24:35,679 Speaker 3: it up there on the screen. I apologize by butcher this. 479 00:24:35,880 --> 00:24:38,199 Speaker 3: I'm not good with drug names. But it's Luke of 480 00:24:38,280 --> 00:24:41,720 Speaker 3: vorin inside the drug giving new hope there to quote 481 00:24:41,760 --> 00:24:45,720 Speaker 3: autism parents. They're saying that it's quote an answer to autism, 482 00:24:45,760 --> 00:24:48,400 Speaker 3: and it's a form of vitamin B nine, also known 483 00:24:48,440 --> 00:24:51,480 Speaker 3: as folate that's been prescribed to protect healthy cells from 484 00:24:51,520 --> 00:24:54,720 Speaker 3: the toxic side effects of previously used in chemotherapy and 485 00:24:54,760 --> 00:24:59,040 Speaker 3: to enhance chemo and to treat cerebral folate deficiency. Folate, 486 00:24:59,240 --> 00:25:02,800 Speaker 3: as doctor Macra saying there is needed for brain development, 487 00:25:02,840 --> 00:25:05,560 Speaker 3: and they have found that some children with neurodevelopmental disorders 488 00:25:05,760 --> 00:25:08,639 Speaker 3: show signs of cerebral folate deficiency, a shortage of B 489 00:25:08,760 --> 00:25:10,919 Speaker 3: nine in the brain. Again, I am not a doctor. 490 00:25:11,400 --> 00:25:13,840 Speaker 3: Do not take medical advice from me. I wouldn't take 491 00:25:13,880 --> 00:25:18,680 Speaker 3: medical advice from them either, And that's part of the difficulty. 492 00:25:19,080 --> 00:25:23,840 Speaker 3: I think of this entire kind of conversation. That's what, right, Well, okay, 493 00:25:23,960 --> 00:25:25,879 Speaker 3: let's talk about that. And this is one of the 494 00:25:26,880 --> 00:25:29,679 Speaker 3: I hope maybe potential benefits of COVID. Now, a lot 495 00:25:29,680 --> 00:25:31,679 Speaker 3: of the doctors and all these people are upset. I 496 00:25:31,760 --> 00:25:34,600 Speaker 3: read everything for myself now at this point, and I'll 497 00:25:34,600 --> 00:25:35,480 Speaker 3: take their consideration. 498 00:25:35,560 --> 00:25:37,320 Speaker 1: I will not dismiss it out of hand. 499 00:25:37,400 --> 00:25:40,440 Speaker 3: I probably, you know, bought more biased earlier, let's say 500 00:25:40,640 --> 00:25:43,000 Speaker 3: two years ago. Really in the heights of the COVID mania, 501 00:25:43,040 --> 00:25:44,400 Speaker 3: I would have been like, I don't believe a word 502 00:25:44,560 --> 00:25:47,000 Speaker 3: that people say. But you know, presented with this, I'm like, well, 503 00:25:47,040 --> 00:25:48,840 Speaker 3: I don't know, that's thecounter argument. 504 00:25:48,880 --> 00:25:49,960 Speaker 1: I'm like, well do yeah. 505 00:25:50,040 --> 00:25:50,159 Speaker 4: Right. 506 00:25:50,320 --> 00:25:52,560 Speaker 1: So it's like, maybe I'm going to do my own research. 507 00:25:52,720 --> 00:25:55,119 Speaker 3: And by doing my own research and all that, and 508 00:25:55,119 --> 00:25:58,560 Speaker 3: you read the data and the trials and stuff for themselves. Actually, 509 00:25:58,600 --> 00:26:02,439 Speaker 3: the Sweetish study is a good reminder to people. Something 510 00:26:02,560 --> 00:26:05,720 Speaker 3: I tried to do was I'd stop looking at America 511 00:26:06,040 --> 00:26:11,080 Speaker 3: because the question is always about corruption, either ideological or pharma. 512 00:26:11,200 --> 00:26:14,520 Speaker 3: So I would look to countries where they have universal 513 00:26:14,520 --> 00:26:15,000 Speaker 3: health care. 514 00:26:15,320 --> 00:26:17,160 Speaker 1: They largely are not woke. 515 00:26:17,560 --> 00:26:20,399 Speaker 3: So I'm mainly shouting out japan here, and then I 516 00:26:20,440 --> 00:26:22,600 Speaker 3: would look at their health outcomes, right, and I would 517 00:26:22,720 --> 00:26:24,840 Speaker 3: compare US advisories. 518 00:26:25,000 --> 00:26:27,120 Speaker 1: Sushi is a great one, right, you know, no sushi 519 00:26:27,200 --> 00:26:27,520 Speaker 1: or any of that. 520 00:26:27,600 --> 00:26:29,560 Speaker 3: I'm like, well, you know, the Japanese are pretty smart 521 00:26:29,600 --> 00:26:32,200 Speaker 3: and they lost sushi and raw fish, so what's going 522 00:26:32,240 --> 00:26:33,800 Speaker 3: on over there? And they're like, you're an idiot if 523 00:26:33,840 --> 00:26:36,480 Speaker 3: you know, everyone here eat sushi. Right again, don't take 524 00:26:36,520 --> 00:26:38,280 Speaker 3: medical advice from me. Read the book and read the 525 00:26:38,280 --> 00:26:41,840 Speaker 3: guidance and all that for yourself. But on their vaccine schedule, 526 00:26:41,960 --> 00:26:44,080 Speaker 3: you can compare the you it's easy actually, with chat 527 00:26:44,200 --> 00:26:46,320 Speaker 3: EPT or any of these, compare the US vaccine schedule 528 00:26:46,359 --> 00:26:48,000 Speaker 3: to the Japanese vaccine schedule. 529 00:26:48,040 --> 00:26:49,680 Speaker 1: You can make up your mind for yourself. 530 00:26:49,720 --> 00:26:52,320 Speaker 3: You can also go and take a look at various 531 00:26:52,359 --> 00:26:54,680 Speaker 3: other European countries. Keep in mind a lot of these 532 00:26:54,680 --> 00:26:57,680 Speaker 3: pharma companies are European based, so there's still some potential 533 00:26:57,720 --> 00:27:00,000 Speaker 3: for corruption, but by and large, some of their data 534 00:27:00,200 --> 00:27:03,639 Speaker 3: is better than ours, or they publish more population white stuff, 535 00:27:03,640 --> 00:27:07,000 Speaker 3: and they have less ideological you know, kind of influence 536 00:27:07,520 --> 00:27:08,200 Speaker 3: going on there. 537 00:27:08,240 --> 00:27:10,760 Speaker 1: So that's part of the difficulty for me personally. 538 00:27:10,800 --> 00:27:14,040 Speaker 3: Ryan like I saw the American College of Obstetricians come 539 00:27:14,040 --> 00:27:16,720 Speaker 3: out and be like this is dangerous and all of that. 540 00:27:16,760 --> 00:27:19,720 Speaker 3: But considering how we've seen them previously talk about the 541 00:27:19,760 --> 00:27:22,760 Speaker 3: COVID vaccine or I mean, krystally gotten a nice big 542 00:27:22,800 --> 00:27:25,439 Speaker 3: debate yesterday on trans but like, considering some of the 543 00:27:25,440 --> 00:27:27,919 Speaker 3: stuff that let's say the American Academy of Pediatrics is 544 00:27:27,920 --> 00:27:30,159 Speaker 3: said there too, I'm like, yeah, I don't trust you 545 00:27:30,280 --> 00:27:30,600 Speaker 3: at all. 546 00:27:30,760 --> 00:27:31,720 Speaker 1: Right, So, like, I. 547 00:27:31,720 --> 00:27:34,240 Speaker 3: Really think a lot of parents they need more information, 548 00:27:34,640 --> 00:27:38,320 Speaker 3: and the government it did not do that today or 549 00:27:38,400 --> 00:27:40,679 Speaker 3: yesterday in their announcement. They did not give people, in 550 00:27:40,680 --> 00:27:42,800 Speaker 3: my opinion, more information. They didn't say they were going 551 00:27:42,840 --> 00:27:46,800 Speaker 3: to study. They made a declarative statement. And as you said, 552 00:27:46,960 --> 00:27:49,639 Speaker 3: maybe the doctors wrote it a little bit differently, but 553 00:27:49,880 --> 00:27:52,720 Speaker 3: the presidents straight up set don't take til and all. Yeah, okay, 554 00:27:52,720 --> 00:27:55,640 Speaker 3: the headline is clear. Yeah, like he said, don't take it. Which, 555 00:27:55,680 --> 00:27:58,480 Speaker 3: by the way, their stock is now plunged. Let's put 556 00:27:58,520 --> 00:28:01,200 Speaker 3: a five up here on this screen. Tailand All maker 557 00:28:01,359 --> 00:28:04,600 Speaker 3: ken Vu has plunged on reports that the White House's 558 00:28:04,640 --> 00:28:07,879 Speaker 3: plan to link the drug to autism. The news spurred 559 00:28:07,920 --> 00:28:12,040 Speaker 3: in eight percent sell off in shares yesterday for ken Vu. 560 00:28:12,560 --> 00:28:15,560 Speaker 3: Their shares I believe are not yet open while we 561 00:28:15,560 --> 00:28:18,040 Speaker 3: were recording this, so keep you guys updated. 562 00:28:18,080 --> 00:28:19,480 Speaker 1: The company is now a year to date loss of 563 00:28:19,520 --> 00:28:21,080 Speaker 1: twenty one percent, So I don't know. 564 00:28:21,080 --> 00:28:22,280 Speaker 3: By the way, it does remind me there was a 565 00:28:22,280 --> 00:28:24,800 Speaker 3: great documentary called The tail and al Killer, which was 566 00:28:24,800 --> 00:28:26,240 Speaker 3: super interesting on Netflix. 567 00:28:26,280 --> 00:28:28,080 Speaker 1: So that's the last thing. Anything you want to say 568 00:28:28,080 --> 00:28:30,000 Speaker 1: more on tailan autism any of. 569 00:28:29,880 --> 00:28:32,679 Speaker 4: That, No, I think I think they're pretty much covers it. 570 00:28:32,840 --> 00:28:38,040 Speaker 3: Yeah, it's I think it's a sad state because one 571 00:28:38,040 --> 00:28:41,520 Speaker 3: of the things that they cite that RFK sided in particular, 572 00:28:41,680 --> 00:28:44,320 Speaker 3: was like the grief of a lot of these parents, 573 00:28:44,880 --> 00:28:48,360 Speaker 3: and I think I think, first of all, I think 574 00:28:48,400 --> 00:28:50,040 Speaker 3: the medical establishment has done a lot of these people 575 00:28:50,040 --> 00:28:53,000 Speaker 3: of disservice by saying, like not lying to them, but 576 00:28:53,040 --> 00:28:54,800 Speaker 3: like kind of lecturing them, being like, it is what 577 00:28:54,840 --> 00:28:57,360 Speaker 3: it is, you know, get over it, right, And no parent, 578 00:28:57,640 --> 00:28:59,640 Speaker 3: especially as a new parents, is going to quote get 579 00:28:59,680 --> 00:28:59,960 Speaker 3: over it. 580 00:29:00,080 --> 00:29:01,560 Speaker 1: They're going to want answers. 581 00:29:01,920 --> 00:29:03,480 Speaker 3: That doesn't mean that you have to give them what 582 00:29:03,520 --> 00:29:06,719 Speaker 3: they want to hear or you know, an easy explanation. 583 00:29:07,200 --> 00:29:09,360 Speaker 3: That's kind of what I think the government did here. 584 00:29:09,880 --> 00:29:13,880 Speaker 3: And I also think that they should have considered that 585 00:29:13,960 --> 00:29:17,840 Speaker 3: for people, For women who are pregnant in America today, 586 00:29:18,000 --> 00:29:22,720 Speaker 3: it's really not easy, especially people who are working, and 587 00:29:22,840 --> 00:29:26,400 Speaker 3: so for them, I do really fear, like you said, Ryan, 588 00:29:26,760 --> 00:29:29,239 Speaker 3: this will kind of spur a level of hopelessness of 589 00:29:29,480 --> 00:29:32,280 Speaker 3: I can't take talent al you know, the last thing 590 00:29:32,320 --> 00:29:35,840 Speaker 3: you want when you're pregnant is stress, right, and now 591 00:29:35,880 --> 00:29:39,680 Speaker 3: it's about talent, all advil, diet premium. There's always there's 592 00:29:39,720 --> 00:29:42,200 Speaker 3: already so much pressure on these people. 593 00:29:42,520 --> 00:29:44,640 Speaker 1: And what I would say is make. 594 00:29:44,520 --> 00:29:47,040 Speaker 3: It easier, you know, at a system wide level, and 595 00:29:47,240 --> 00:29:49,560 Speaker 3: let's not put all the blame on the mothers or 596 00:29:49,600 --> 00:29:52,120 Speaker 3: all of the responsibility necessarily on them. I think it 597 00:29:52,120 --> 00:29:54,920 Speaker 3: should be on all of us as a society, medical system, 598 00:29:55,160 --> 00:29:55,640 Speaker 3: et cetera. 599 00:29:55,920 --> 00:29:58,080 Speaker 1: Okay, so yeah, go ahead. 600 00:30:00,080 --> 00:30:01,960 Speaker 4: Rachel Bdard has an interesting point on here, which is 601 00:30:02,240 --> 00:30:05,280 Speaker 4: curious for your take on this, that both Trump and 602 00:30:05,600 --> 00:30:08,680 Speaker 4: RFK Junior were kind of boxed in by their very 603 00:30:08,680 --> 00:30:10,880 Speaker 4: early declarations that they were going to basically get to 604 00:30:10,920 --> 00:30:11,440 Speaker 4: the bottom of this. 605 00:30:11,600 --> 00:30:14,160 Speaker 1: Yes, and I know exactly what you're talking about. I 606 00:30:14,160 --> 00:30:14,640 Speaker 1: read it this morning. 607 00:30:14,880 --> 00:30:17,080 Speaker 4: Had to come up with something, and it would have 608 00:30:17,080 --> 00:30:21,560 Speaker 4: been much more damaging if they just concocted some vaccine link, 609 00:30:22,120 --> 00:30:25,920 Speaker 4: which is far even more spurious than. 610 00:30:26,400 --> 00:30:28,200 Speaker 3: Well, what it would do is they would have to 611 00:30:28,240 --> 00:30:30,800 Speaker 3: prove it. Right, is that for this they didn't even 612 00:30:30,840 --> 00:30:32,720 Speaker 3: really prove it. They just said may and by the way, 613 00:30:32,800 --> 00:30:35,000 Speaker 3: I mean, look Tailen all used, I do think, you know, 614 00:30:35,120 --> 00:30:37,360 Speaker 3: could be important, especially if you're suffering, you know, from 615 00:30:37,480 --> 00:30:39,640 Speaker 3: a lot of pain. So this doctor, doctor, I think 616 00:30:39,680 --> 00:30:42,200 Speaker 3: of this as like harm reduction, right, That's kind of 617 00:30:42,200 --> 00:30:44,479 Speaker 3: what I was looking. That's that was from getting over 618 00:30:44,520 --> 00:30:46,560 Speaker 3: your skills. Is that if what they really wanted to 619 00:30:46,600 --> 00:30:49,160 Speaker 3: do and what they you know, the MAHA people desperately 620 00:30:49,200 --> 00:30:51,520 Speaker 3: want is they want the MMR vaccine to straight up 621 00:30:51,560 --> 00:30:54,040 Speaker 3: just be pulled. And Trump even basically said he's like, 622 00:30:54,080 --> 00:30:55,800 Speaker 3: I think the MMR should be split up. I think 623 00:30:55,800 --> 00:30:59,040 Speaker 3: it's probably whatever Exactually, I mean, let's put his comments 624 00:30:59,040 --> 00:31:02,280 Speaker 3: to the side. Like an act ctual guidance from the CDC, 625 00:31:02,400 --> 00:31:06,320 Speaker 3: the FDA and the US government, from AHHS telling doctors 626 00:31:06,320 --> 00:31:09,240 Speaker 3: and all that pull the MMR vaccine. That is actually 627 00:31:09,320 --> 00:31:12,080 Speaker 3: like just a whole other level because not only would 628 00:31:12,080 --> 00:31:14,200 Speaker 3: you have to prove it, but then you would have 629 00:31:14,240 --> 00:31:19,680 Speaker 3: any potential consequences on your hands, right, And look, I'm 630 00:31:19,680 --> 00:31:22,600 Speaker 3: not an expert on MMR. I have read all the 631 00:31:22,640 --> 00:31:25,760 Speaker 3: anti VAXX books. I also read all the pro VAXX books. 632 00:31:25,800 --> 00:31:28,240 Speaker 3: I recommend that you do that too, so you can actually, frankly, 633 00:31:28,280 --> 00:31:32,040 Speaker 3: I'll both have some horrible argumentation and really don't address 634 00:31:32,320 --> 00:31:35,040 Speaker 3: a lot of each other's points. One thing I think 635 00:31:35,160 --> 00:31:38,640 Speaker 3: is critical on this again is that more information and 636 00:31:38,680 --> 00:31:39,080 Speaker 3: more data. 637 00:31:39,080 --> 00:31:41,280 Speaker 1: One of the things RFK pledge was about more data. 638 00:31:41,320 --> 00:31:44,560 Speaker 3: But the thing is is that making macro decisions for 639 00:31:44,600 --> 00:31:48,880 Speaker 3: the entire nation without any new data, that seems a big. 640 00:31:48,720 --> 00:31:51,800 Speaker 1: Problem for me. So they threw tilt on the US FIRSUS. 641 00:31:51,480 --> 00:31:53,360 Speaker 3: Tiland all we'll see, I mean, listen, I mean they 642 00:31:53,480 --> 00:31:57,080 Speaker 3: laid the ground pretty stand pretty hard on MMR and 643 00:31:57,240 --> 00:32:00,000 Speaker 3: on the rest of them. And so my response would 644 00:32:00,080 --> 00:32:02,000 Speaker 3: be the same one that they give to the vaccine companies, 645 00:32:02,040 --> 00:32:04,040 Speaker 3: which is true, prove it, right, prove it. 646 00:32:04,120 --> 00:32:04,880 Speaker 1: So there you go. 647 00:32:05,000 --> 00:32:07,160 Speaker 3: That's what I think the standard of evidence should be 648 00:32:07,320 --> 00:32:08,040 Speaker 3: there in science. 649 00:32:10,600 --> 00:32:13,160 Speaker 1: All right, let's get to Homan Shelby. 650 00:32:13,480 --> 00:32:16,920 Speaker 3: This is a This is pretty crazy, and it does 651 00:32:17,440 --> 00:32:21,080 Speaker 3: tell us a lot about the country where we are 652 00:32:21,080 --> 00:32:24,200 Speaker 3: today because it's not just Tom Homan here, who, by 653 00:32:24,240 --> 00:32:26,920 Speaker 3: the way, allegedly because he denies it, but one of 654 00:32:26,920 --> 00:32:30,480 Speaker 3: the thing kind of denies it. It strikes to the 655 00:32:30,480 --> 00:32:33,640 Speaker 3: heart of bribery laws in this country and how basically 656 00:32:33,680 --> 00:32:36,400 Speaker 3: bribery is legal. After the Supreme Court ruled in twenty 657 00:32:36,400 --> 00:32:38,080 Speaker 3: twenty four, let's go and put this up here on 658 00:32:38,120 --> 00:32:42,120 Speaker 3: the screen. You had a new report from NBC News. 659 00:32:42,200 --> 00:32:45,680 Speaker 3: They say Tom Homan was investigated for accepting fifty thousand 660 00:32:45,760 --> 00:32:49,760 Speaker 3: dollars from undercover FBI agents. Trump's DOJ shut it down. 661 00:32:50,080 --> 00:32:53,880 Speaker 3: The FBI Justice officials close the investigation if calling it 662 00:32:53,920 --> 00:32:56,360 Speaker 3: a deep state probe in early twenty twenty five. The 663 00:32:56,440 --> 00:33:00,240 Speaker 3: details are as such. Quote in an undergover op ration 664 00:33:00,400 --> 00:33:03,040 Speaker 3: last year, the FBI recorded tom Homan, now the White 665 00:33:03,040 --> 00:33:06,120 Speaker 3: House borders are accepting fifty thousand dollars in cash, after 666 00:33:06,160 --> 00:33:08,920 Speaker 3: indicating he could quote help the agents, who were posing 667 00:33:08,920 --> 00:33:12,920 Speaker 3: as business executives win government contracts. In a second Trump administration, 668 00:33:13,640 --> 00:33:17,080 Speaker 3: FBI and Justice Department planned to wait to see whether 669 00:33:17,120 --> 00:33:19,960 Speaker 3: Homan would deliver on his alleged promise once he became 670 00:33:20,000 --> 00:33:23,240 Speaker 3: the nation's top immigration official, but the case indefinitely stalled 671 00:33:23,280 --> 00:33:26,400 Speaker 3: after Trump became president In January. In recent weeks, Trump 672 00:33:26,440 --> 00:33:30,880 Speaker 3: appointees have officially closed the investigation. It's unclear what reasons 673 00:33:31,160 --> 00:33:34,120 Speaker 3: FBI and DOJ gay for shutting down, but a Trump 674 00:33:34,240 --> 00:33:37,600 Speaker 3: Justice Department appointee called the case a quote deep state probe. 675 00:33:37,640 --> 00:33:40,640 Speaker 3: The investigation was launched in West Texas in the summer 676 00:33:40,680 --> 00:33:43,920 Speaker 3: of twenty twenty four after a separate investigation claimed that 677 00:33:43,960 --> 00:33:47,120 Speaker 3: Homan was soliciting payments in exchange for awarding contracts for 678 00:33:47,160 --> 00:33:50,360 Speaker 3: Trump should he win the presidential election. The US Attorney's 679 00:33:50,360 --> 00:33:53,000 Speaker 3: Office in the Western District of Texas, working with the FBI, 680 00:33:53,120 --> 00:33:56,200 Speaker 3: asked the DOJ to join its ongoing probe into the 681 00:33:56,240 --> 00:33:59,320 Speaker 3: Borders are and the former boarders are in the former 682 00:33:59,360 --> 00:34:02,760 Speaker 3: Acting Director Immigration and ICE, Tom Homan, based on the 683 00:34:02,800 --> 00:34:06,120 Speaker 3: evidence of payment from the FBI undercover agents. What they 684 00:34:06,160 --> 00:34:08,360 Speaker 3: said is that Homan, who was act served as the 685 00:34:08,400 --> 00:34:11,279 Speaker 3: acting director of ICE early in Trump's first term, was 686 00:34:11,360 --> 00:34:14,000 Speaker 3: openly claimed during the twenty twenty four campaign he would 687 00:34:14,000 --> 00:34:18,280 Speaker 3: play a prominent role. Thus, during the investigation, they allegedly, 688 00:34:18,400 --> 00:34:21,160 Speaker 3: on September twentieth, with hidden cameras recording the scene at 689 00:34:21,200 --> 00:34:24,320 Speaker 3: a meeting spot in Texas, caught him accepting some fifty 690 00:34:24,400 --> 00:34:27,880 Speaker 3: thousand dollars in bills, according to this internal summary. They 691 00:34:27,920 --> 00:34:30,400 Speaker 3: then took the matter no further in the final months 692 00:34:30,480 --> 00:34:33,040 Speaker 3: of twenty twenty four. Now, one of the reasons why 693 00:34:33,040 --> 00:34:34,880 Speaker 3: I think that is important is that it was obviously 694 00:34:34,960 --> 00:34:37,600 Speaker 3: in September in the lead up to the presidential election, 695 00:34:37,960 --> 00:34:41,600 Speaker 3: but that the quid pro quo, if you will, had 696 00:34:41,640 --> 00:34:43,960 Speaker 3: to be proven because of the way that the bribery 697 00:34:44,000 --> 00:34:46,920 Speaker 3: laws are written. Simply accepting cash does not in and 698 00:34:46,960 --> 00:34:49,520 Speaker 3: of itself mean that it's bribery because you actually have 699 00:34:49,560 --> 00:34:50,240 Speaker 3: to deliver. 700 00:34:50,480 --> 00:34:52,160 Speaker 1: Okay, because we've changed the way that biber. 701 00:34:52,000 --> 00:34:54,839 Speaker 4: You can take a ripped them in his country. 702 00:34:54,760 --> 00:34:57,960 Speaker 1: Tom Homan did address this last night on Fox News. 703 00:34:58,040 --> 00:34:59,080 Speaker 1: Here's what he had to say. 704 00:34:59,239 --> 00:35:02,239 Speaker 9: I want to give you a chance to address this 705 00:35:02,800 --> 00:35:06,680 Speaker 9: article that came out over the weekend, and it was 706 00:35:06,880 --> 00:35:12,200 Speaker 9: on our always reliable MSNBC, and they said that you 707 00:35:12,239 --> 00:35:16,040 Speaker 9: took fifty thousand dollars in cash in a bag from 708 00:35:16,080 --> 00:35:19,840 Speaker 9: an undercover FBI agent to help them win government contracts 709 00:35:19,840 --> 00:35:24,160 Speaker 9: in Trump's second term. The DOJ said they concluded there 710 00:35:24,320 --> 00:35:28,799 Speaker 9: was no criminal wrongdoing, but nevertheless, that story is out there, 711 00:35:28,840 --> 00:35:30,640 Speaker 9: and I imagine you want to respond to that. 712 00:35:33,120 --> 00:35:33,560 Speaker 6: Absolutely. 713 00:35:33,640 --> 00:35:34,760 Speaker 10: Look, I did nothing criminal. 714 00:35:34,840 --> 00:35:36,640 Speaker 6: I did nothing illegal, and. 715 00:35:36,880 --> 00:35:39,400 Speaker 10: This hit piece after hit piece after hit peace, and 716 00:35:39,440 --> 00:35:41,959 Speaker 10: I'm glad the FBI and dj came out and said, 717 00:35:42,400 --> 00:35:45,440 Speaker 10: and you know, as said that nothing illegal happened and nothing, 718 00:35:45,560 --> 00:35:48,560 Speaker 10: you know, no criminal activity. You're talking about guys spent 719 00:35:48,640 --> 00:35:50,960 Speaker 10: thirty four years in forcing them law. I mean, I 720 00:35:51,040 --> 00:35:53,960 Speaker 10: left the very successful business that I ran to come 721 00:35:54,000 --> 00:35:56,000 Speaker 10: back and work for a government again. I'm back on 722 00:35:56,000 --> 00:35:56,960 Speaker 10: a government paycheck. 723 00:35:57,200 --> 00:35:57,359 Speaker 6: Now. 724 00:35:57,360 --> 00:36:00,480 Speaker 10: Only did I sacrifice my homie, home, my family, sacker vices. 725 00:36:01,280 --> 00:36:03,840 Speaker 10: I make sacrifices every day. I got more death threats 726 00:36:03,840 --> 00:36:06,960 Speaker 10: than anybody I got to mean, But guess what, my 727 00:36:07,080 --> 00:36:09,359 Speaker 10: kids don't, my wife don't. I mean, I haven't lived 728 00:36:09,360 --> 00:36:11,799 Speaker 10: with my wife in months because I don't want her 729 00:36:11,840 --> 00:36:13,680 Speaker 10: to be here right now with all the threats. So, 730 00:36:13,800 --> 00:36:16,920 Speaker 10: after all the sacrifices, after serving my nation all this year, 731 00:36:16,960 --> 00:36:18,600 Speaker 10: they want to come out and dirting me up. 732 00:36:18,680 --> 00:36:19,360 Speaker 6: And it's not going in. 733 00:36:19,680 --> 00:36:21,560 Speaker 10: There's a hit piece on me every two weeks, but 734 00:36:21,680 --> 00:36:24,320 Speaker 10: keep coming because you know what, Tom Holman isn't going anywhere. 735 00:36:24,400 --> 00:36:26,839 Speaker 10: Tom Holman isn't shutting up. And Tom Holman's don't keep 736 00:36:27,080 --> 00:36:29,239 Speaker 10: doing anything he's doing because work with President Trump's the 737 00:36:29,239 --> 00:36:31,800 Speaker 10: greatest on in my life. We're making this country safer again. 738 00:36:31,880 --> 00:36:33,680 Speaker 10: Every day. We're gonna keep doing it. 739 00:36:33,840 --> 00:36:35,799 Speaker 3: Kind of a non denial denial there, because what he 740 00:36:35,840 --> 00:36:37,680 Speaker 3: didn't say is I never took the money. What he 741 00:36:37,760 --> 00:36:40,760 Speaker 3: said is I did nothing criminal. I did nothing illegal, 742 00:36:40,800 --> 00:36:42,359 Speaker 3: which I mean technically true. 743 00:36:42,520 --> 00:36:44,520 Speaker 1: Right so far, so far. Yeah. 744 00:36:44,560 --> 00:36:47,759 Speaker 3: It does raise the question though about those tapes and 745 00:36:47,800 --> 00:36:51,160 Speaker 3: whether they exist honestly at or not. So you know, 746 00:36:51,160 --> 00:36:52,920 Speaker 3: if you're in the FBI and it's time to put 747 00:36:53,000 --> 00:36:55,080 Speaker 3: up or shut up, you should release it. If not, 748 00:36:55,239 --> 00:36:57,040 Speaker 3: I mean according to them, they've got it on camera 749 00:36:57,239 --> 00:36:59,239 Speaker 3: and they've got it on tape. Now maybe the FBI listened. 750 00:36:59,239 --> 00:37:01,360 Speaker 3: You know, you wouldn't put it as this FBI to 751 00:37:01,480 --> 00:37:04,520 Speaker 3: delete it. But the reason why it is important is 752 00:37:04,520 --> 00:37:08,960 Speaker 3: that Homan has always stressed his impartiality and his government 753 00:37:09,040 --> 00:37:12,000 Speaker 3: service and that he would never accept any quid pro 754 00:37:12,080 --> 00:37:15,840 Speaker 3: quo or anything in service of his potential service and government. 755 00:37:15,960 --> 00:37:18,279 Speaker 3: Here's what we previously said on Bill Maher show. 756 00:37:18,560 --> 00:37:20,200 Speaker 10: If you want to send the message to the whole 757 00:37:20,200 --> 00:37:23,960 Speaker 10: world across the board illegally, it's a crime, that's okay. 758 00:37:24,560 --> 00:37:27,239 Speaker 10: Had to process, get order removed by an immigration. Just 759 00:37:27,280 --> 00:37:30,640 Speaker 10: don't leave. It's okay. Just don't commit another crime. You're 760 00:37:30,680 --> 00:37:32,600 Speaker 10: good to go. If that's the message we send to 761 00:37:32,640 --> 00:37:36,440 Speaker 10: the whole world, people are going to keep coming. And 762 00:37:36,880 --> 00:37:39,160 Speaker 10: let me tell you something. There's a whole illegal migration, 763 00:37:39,320 --> 00:37:41,040 Speaker 10: not a victim's crime. But that's why you have to 764 00:37:41,080 --> 00:37:44,600 Speaker 10: show these consequences, because if you send a message there's 765 00:37:44,640 --> 00:37:47,200 Speaker 10: no consequences and you want to reward a legal behavior, 766 00:37:47,360 --> 00:37:48,560 Speaker 10: that dot corner is right out. 767 00:37:48,880 --> 00:37:51,920 Speaker 3: So that's the question there about rewarding behavior if you 768 00:37:51,920 --> 00:37:54,720 Speaker 3: don't show any consequences. And then finally, the White House 769 00:37:54,760 --> 00:37:57,799 Speaker 3: itself also issued a flat denial that it never took 770 00:37:57,840 --> 00:38:01,200 Speaker 3: place ever a little bit again than what Tom Holman said, 771 00:38:01,320 --> 00:38:02,760 Speaker 3: take a listen to Caroline Levitt. 772 00:38:02,840 --> 00:38:05,560 Speaker 11: Did the President ask the Justice Department to close the 773 00:38:05,560 --> 00:38:09,200 Speaker 11: case and does Holman have to return the fifty thousand dollars, Well, 774 00:38:09,440 --> 00:38:11,920 Speaker 11: mister Homan never took the fifty thousand dollars that you're 775 00:38:11,920 --> 00:38:14,440 Speaker 11: referring to, So you should get your fact straight. Number one, 776 00:38:14,840 --> 00:38:18,640 Speaker 11: number two. This was another example of the weaponization of 777 00:38:18,680 --> 00:38:22,400 Speaker 11: the Biden Department of Justice against one of President Trump's 778 00:38:22,440 --> 00:38:25,400 Speaker 11: strongest and most vocal supporters in the midst of a 779 00:38:25,480 --> 00:38:29,959 Speaker 11: presidential campaign, you had FBI agents going undercover to try 780 00:38:30,000 --> 00:38:32,840 Speaker 11: and and trap one of the president's top allies and supporter, 781 00:38:32,960 --> 00:38:35,759 Speaker 11: someone who they knew very well would be taking a 782 00:38:35,800 --> 00:38:40,160 Speaker 11: government position months later. Mister Homan did absolutely nothing wrong, 783 00:38:40,480 --> 00:38:44,640 Speaker 11: and even the President's Department of Justice, even cash Ptel's 784 00:38:44,760 --> 00:38:47,640 Speaker 11: FBI looked into this, just to make sure. They had 785 00:38:47,640 --> 00:38:50,759 Speaker 11: a number of different prosecutors and FBI agents who looked 786 00:38:50,760 --> 00:38:54,280 Speaker 11: into this. They found zero evidence of a legal activity 787 00:38:54,360 --> 00:38:57,440 Speaker 11: or criminal wrongdoing in the White House. And the President 788 00:38:57,560 --> 00:39:00,839 Speaker 11: stand by Tom Holman one hundred percent because he did 789 00:39:00,880 --> 00:39:03,800 Speaker 11: absolutely nothing wrong and he is a brave public servant 790 00:39:04,000 --> 00:39:06,200 Speaker 11: who has done a phenomenal job in helping the President 791 00:39:06,280 --> 00:39:07,120 Speaker 11: shut down the border. 792 00:39:07,520 --> 00:39:10,640 Speaker 3: They say, mister Homan never took the fifty thousand dollars, 793 00:39:10,680 --> 00:39:13,560 Speaker 3: so Ryan, that seems to be the crux of the question. 794 00:39:13,680 --> 00:39:15,840 Speaker 4: So I think there was a string on the cash, 795 00:39:16,760 --> 00:39:19,120 Speaker 4: and so when he wasn't looking, they kind of reeled 796 00:39:19,120 --> 00:39:21,360 Speaker 4: it back in. I do want to talk about the 797 00:39:21,360 --> 00:39:24,440 Speaker 4: bribery laws, but first, my spider senses up on this 798 00:39:24,560 --> 00:39:26,640 Speaker 4: story for a couple of reasons. 799 00:39:26,640 --> 00:39:29,320 Speaker 3: Here, did you notice who broke the story? Ken Denlan 800 00:39:29,760 --> 00:39:31,000 Speaker 3: No oh sorry, he's. 801 00:39:30,880 --> 00:39:36,120 Speaker 4: The second byline. Carol Lenning, who for twenty five years 802 00:39:36,200 --> 00:39:39,760 Speaker 4: the Washington Post was the Washington Post star investigative reporter 803 00:39:40,400 --> 00:39:45,319 Speaker 4: with three Polis Serprizes under her belt. Now, so she 804 00:39:45,480 --> 00:39:49,839 Speaker 4: leaves the Washington Post after this long, storied career and 805 00:39:49,880 --> 00:39:54,320 Speaker 4: then within a month has published this massive story about 806 00:39:54,320 --> 00:39:59,239 Speaker 4: Tom Homan. Obviously, she did not leave the Washington Post 807 00:39:59,320 --> 00:40:02,120 Speaker 4: and then have some source say I was just waiting 808 00:40:02,160 --> 00:40:04,600 Speaker 4: for you to go to MSNBC to give you this 809 00:40:04,680 --> 00:40:08,560 Speaker 4: incredible tip, and then she writes it with Ken Delanyan. No, 810 00:40:08,840 --> 00:40:12,319 Speaker 4: she clearly had the story for some reason, she did 811 00:40:12,360 --> 00:40:14,760 Speaker 4: not write it at the Washington Post. There is obviously 812 00:40:14,800 --> 00:40:17,239 Speaker 4: a story there. Why flag Why did she not write 813 00:40:17,239 --> 00:40:21,719 Speaker 4: it at the Washington Separately. In the original reporting, it 814 00:40:21,840 --> 00:40:26,960 Speaker 4: said that Holman was caught accidentally kind of he was 815 00:40:27,040 --> 00:40:33,560 Speaker 4: kind of swept up in a broader FBI investigation. And 816 00:40:33,960 --> 00:40:37,240 Speaker 4: so this happens in September twenty twenty four, even though 817 00:40:39,160 --> 00:40:41,560 Speaker 4: it's you know, they don't have let's say, they don't 818 00:40:41,560 --> 00:40:43,600 Speaker 4: have the crime or the indictment yet they could still 819 00:40:43,680 --> 00:40:46,640 Speaker 4: leak it. It's September of the election year. This will 820 00:40:46,800 --> 00:40:49,960 Speaker 4: just be a big problem for Trump. They decided not 821 00:40:50,040 --> 00:40:53,080 Speaker 4: do that, so they didn't leak it, and he was 822 00:40:53,120 --> 00:40:56,440 Speaker 4: swept up kind of accidentally by chance in this investigation. 823 00:40:56,560 --> 00:40:59,880 Speaker 4: That means whoever they were actually whatever, whoever or what 824 00:41:00,239 --> 00:41:03,920 Speaker 4: they were actually going after was much bigger than Tom Holman. 825 00:41:04,040 --> 00:41:06,480 Speaker 4: Oh interesting, and Tom Holman. You think Tom Holman's a 826 00:41:06,480 --> 00:41:06,960 Speaker 4: big fish? 827 00:41:07,040 --> 00:41:07,959 Speaker 1: Yeah, he is big? 828 00:41:08,120 --> 00:41:10,160 Speaker 4: What kind of fish is bigger than Tom Holman? And 829 00:41:10,200 --> 00:41:13,759 Speaker 4: if Lenning had this for a significant amount of time, 830 00:41:14,600 --> 00:41:18,160 Speaker 4: chances are not just there's a story within the Washington Post, 831 00:41:19,080 --> 00:41:21,960 Speaker 4: but she too was probably hunting, like what's the bigger 832 00:41:22,000 --> 00:41:24,799 Speaker 4: story here? Bigger than Like that's a good story. 833 00:41:24,600 --> 00:41:27,600 Speaker 3: Right, See, Like for people who are listening or watching, 834 00:41:27,680 --> 00:41:30,799 Speaker 3: that is very important for the inside to kind of 835 00:41:30,800 --> 00:41:32,839 Speaker 3: TikTok of how this stuff happens. This happened a year ago, 836 00:41:33,000 --> 00:41:36,080 Speaker 3: right at this point, So almost a year ago September 837 00:41:36,080 --> 00:41:39,879 Speaker 3: twenty third that we're recording right now. So how long 838 00:41:39,880 --> 00:41:40,640 Speaker 3: has she sat on it? 839 00:41:40,719 --> 00:41:40,959 Speaker 1: Right? 840 00:41:41,360 --> 00:41:44,359 Speaker 3: You would think if you get caught on camera and 841 00:41:44,360 --> 00:41:48,799 Speaker 3: I'm Biden, I'm leaking that tomorrow, you know before they So, yeah, 842 00:41:48,840 --> 00:41:49,799 Speaker 3: what's going on with that? 843 00:41:50,080 --> 00:41:50,239 Speaker 12: Right? 844 00:41:50,320 --> 00:41:51,920 Speaker 1: I Mean I'm not saying that's a just thing? It 845 00:41:51,920 --> 00:41:54,120 Speaker 1: shouldn't work that way. But let's be honest. In the 846 00:41:54,160 --> 00:41:56,000 Speaker 1: in the lead up to the election. 847 00:41:55,800 --> 00:41:57,600 Speaker 4: I mean Trump would leak it, right, of course he would. 848 00:41:57,640 --> 00:41:58,920 Speaker 3: Yeah, I mean you kind of would be an idiot 849 00:41:59,000 --> 00:42:03,560 Speaker 3: not to They are idiots, not so you Yeah wow, 850 00:42:03,600 --> 00:42:04,280 Speaker 3: So yeah. 851 00:42:04,120 --> 00:42:05,640 Speaker 1: What were they chasing? That was bigger? 852 00:42:05,760 --> 00:42:10,040 Speaker 3: Also, did you note the jurisdiction West Texas? Yes, that's weird, right, 853 00:42:10,280 --> 00:42:12,279 Speaker 3: And the reason why that's weird to me is like 854 00:42:12,360 --> 00:42:13,840 Speaker 3: that is deep red country. 855 00:42:13,880 --> 00:42:16,240 Speaker 1: That's like R plus fifty five country. 856 00:42:16,280 --> 00:42:18,279 Speaker 3: So even the US Attorney and I get it there 857 00:42:18,320 --> 00:42:21,480 Speaker 3: radical probably Democrats, et cetera. But you know, even there, 858 00:42:21,560 --> 00:42:24,080 Speaker 3: that's like some sensitivity and the FBI agents and the 859 00:42:24,160 --> 00:42:26,960 Speaker 3: jurisdiction and all that. So yeah, I would have to 860 00:42:26,960 --> 00:42:28,120 Speaker 3: try and put it together. 861 00:42:27,880 --> 00:42:29,920 Speaker 4: If I had to. Yeah, I get they must have 862 00:42:29,960 --> 00:42:33,080 Speaker 4: been running buck wild in West Texas, assume, which is 863 00:42:33,160 --> 00:42:37,839 Speaker 4: classic for West Texas, exactly culturally appropriate, just assuming like 864 00:42:38,120 --> 00:42:42,520 Speaker 4: that they're on the landman, and like there are no laws. 865 00:42:42,520 --> 00:42:44,120 Speaker 4: They're just going to bring the National Guard out. 866 00:42:44,719 --> 00:42:46,600 Speaker 3: There are no laws out there, Ryan, because there's no 867 00:42:46,719 --> 00:42:49,120 Speaker 3: law men, all right, that's Ian's landman. 868 00:42:49,280 --> 00:42:53,919 Speaker 4: And so somehow some lawmen got out there, We're like, whoa, 869 00:42:54,080 --> 00:42:56,879 Speaker 4: this is still the United States of America. And then 870 00:42:56,920 --> 00:42:58,759 Speaker 4: somebody was like, actually, no, it's not right. This is 871 00:42:58,880 --> 00:42:59,520 Speaker 4: West Texas. 872 00:42:59,719 --> 00:42:59,959 Speaker 1: Well. 873 00:43:00,040 --> 00:43:03,879 Speaker 3: Listen, let's track it. From My response is release the tapes, man. 874 00:43:04,040 --> 00:43:05,800 Speaker 3: You know now we've got some more tapes. If you 875 00:43:05,840 --> 00:43:07,279 Speaker 3: did nothing wrong, release it. 876 00:43:07,360 --> 00:43:07,880 Speaker 1: Let's see it. 877 00:43:08,239 --> 00:43:11,200 Speaker 3: Let's see what happened your interaction with the FBI agents 878 00:43:11,200 --> 00:43:12,920 Speaker 3: and all that. People have a right to know whether 879 00:43:13,000 --> 00:43:16,399 Speaker 3: the people in charge are corrupt, but plot twists they are. 880 00:43:16,719 --> 00:43:19,800 Speaker 3: But you know, look, also, it's cartoonish. Anybody who is 881 00:43:19,880 --> 00:43:22,440 Speaker 3: dumb enough to accept fifty thousand dollars in cash and 882 00:43:22,560 --> 00:43:26,640 Speaker 3: a Kama bag like you have no reasonable You shouldn't 883 00:43:26,640 --> 00:43:28,759 Speaker 3: even be close to power, Okay, right. 884 00:43:28,680 --> 00:43:31,840 Speaker 4: Because one argument would be, well, it's a consulting contract. 885 00:43:32,000 --> 00:43:36,319 Speaker 3: Yeah, in catch yeah, kava bag, yeah right. The only 886 00:43:36,360 --> 00:43:38,280 Speaker 3: thing I want my Comma bag or my Harisa chips. 887 00:43:40,360 --> 00:43:43,120 Speaker 3: Real kava heads. Know. The shadow is so good, they're 888 00:43:43,200 --> 00:43:45,680 Speaker 3: so good, they're so good. All right, let's talk about 889 00:43:45,680 --> 00:43:47,840 Speaker 3: bribery laws. I want you specifically to explain some of 890 00:43:47,880 --> 00:43:49,319 Speaker 3: this out to me. Let's put this up here on 891 00:43:49,360 --> 00:43:51,719 Speaker 3: the screen from SCOTUSblog. This is June twenty twenty four. 892 00:43:51,800 --> 00:43:54,120 Speaker 3: We covered this heavy at the time. Actually, the Supreme 893 00:43:54,120 --> 00:43:57,560 Speaker 3: Court has now limited scope of antibribery laws. So what 894 00:43:57,600 --> 00:44:00,319 Speaker 3: they ruled is that the federal antibribery law does not 895 00:44:00,400 --> 00:44:02,759 Speaker 3: make it a crime for state and local officials to 896 00:44:02,880 --> 00:44:05,920 Speaker 3: quote accept a gratuity for acts that they have already taken. 897 00:44:06,200 --> 00:44:09,120 Speaker 3: They wrote for a six justice majority that the state 898 00:44:09,200 --> 00:44:11,960 Speaker 3: local governments officials already have to regulate gifts to officials, 899 00:44:12,040 --> 00:44:14,160 Speaker 3: so the federal law does not supplant supplement those state 900 00:44:14,160 --> 00:44:17,000 Speaker 3: and local laws by subjecting some nineteen million state local 901 00:44:17,000 --> 00:44:19,680 Speaker 3: officials up to ten years in federal prison for accepting 902 00:44:19,719 --> 00:44:24,560 Speaker 3: even commonplace gratuity. But this builds on other Supreme Court decisions, 903 00:44:24,600 --> 00:44:27,719 Speaker 3: including that Virginia governor case about what was a Bob 904 00:44:27,800 --> 00:44:31,320 Speaker 3: McDonald right, where it eventually was overturned because the standards 905 00:44:31,320 --> 00:44:35,319 Speaker 3: now are it's kind of like defamation for media, like 906 00:44:35,360 --> 00:44:38,480 Speaker 3: you have to prove that not only were they accepting 907 00:44:38,520 --> 00:44:41,440 Speaker 3: the money, they were doing so for an explicit quid 908 00:44:41,440 --> 00:44:44,600 Speaker 3: pro quo, that that quid pro quo was real, it 909 00:44:44,680 --> 00:44:48,440 Speaker 3: was promised, and it was deliverable. And all of this 910 00:44:48,719 --> 00:44:52,040 Speaker 3: is being caught on audio on video where they're like, I. 911 00:44:52,000 --> 00:44:54,799 Speaker 1: Am accepting this so that you will get X, Y 912 00:44:54,840 --> 00:44:55,080 Speaker 1: and Z. 913 00:44:55,480 --> 00:44:58,719 Speaker 3: It's no longer even like the original Menendez case, where 914 00:44:58,840 --> 00:45:02,160 Speaker 3: it's obviously corrupt to be flying around on private jets. 915 00:45:02,040 --> 00:45:04,000 Speaker 4: And then help a guy and help a guy out. 916 00:45:04,080 --> 00:45:06,799 Speaker 3: Yeah, it's I mean, come on, like you would know 917 00:45:06,840 --> 00:45:10,919 Speaker 3: that for anybody. But that didn't the lower Yeah, yeah, 918 00:45:10,960 --> 00:45:13,279 Speaker 3: well that that case, I think they found were found guilty. 919 00:45:13,000 --> 00:45:15,799 Speaker 4: Because it was in the McDonald case. They also redefined 920 00:45:15,800 --> 00:45:20,600 Speaker 4: what a quote official acts is. Remember what McDonald did. 921 00:45:20,640 --> 00:45:24,120 Speaker 4: He like made phone calls for the guy he had meet. 922 00:45:24,280 --> 00:45:26,160 Speaker 4: He had like a meet, like a meeting at the 923 00:45:26,160 --> 00:45:30,480 Speaker 4: governor's mansion for him. This is basically a supplement maker 924 00:45:31,880 --> 00:45:33,879 Speaker 4: gave him like one hundred and seventy five grand worth 925 00:45:33,920 --> 00:45:38,120 Speaker 4: of gifts and in exchange, McDonald and also arranged meetings 926 00:45:38,200 --> 00:45:41,560 Speaker 4: with lawmakers that he that he wanted. So McDonald calls 927 00:45:41,640 --> 00:45:44,640 Speaker 4: up and says, hey, like, my guy's got a problem, 928 00:45:44,960 --> 00:45:47,719 Speaker 4: can you meet with him and fix this problem? And 929 00:45:47,760 --> 00:45:50,200 Speaker 4: what the Supreme Court and they did it and he 930 00:45:50,280 --> 00:45:53,239 Speaker 4: paid for that. What the Supreme Court says, none of 931 00:45:53,280 --> 00:45:57,800 Speaker 4: those are official acts. It's like what the governor arranging 932 00:45:57,840 --> 00:45:58,920 Speaker 4: a meeting with the lawmen. 933 00:45:59,200 --> 00:46:02,439 Speaker 3: The scope, the definition in all of these cases makes 934 00:46:02,480 --> 00:46:03,759 Speaker 3: it so. 935 00:46:03,560 --> 00:46:05,400 Speaker 1: Impossible you have to have a contract. 936 00:46:05,520 --> 00:46:07,719 Speaker 3: I was talking with Crystal about this, and shit. Her 937 00:46:07,840 --> 00:46:10,440 Speaker 3: theory was that one of the reasons Biden and them 938 00:46:10,480 --> 00:46:12,160 Speaker 3: didn't bring the case was the same thing. He's like, 939 00:46:12,239 --> 00:46:13,920 Speaker 3: well he didn't deliver the quid pro Well, we're not 940 00:46:13,920 --> 00:46:17,880 Speaker 3: going to win, right and right exactly, it's not even officials. 941 00:46:17,920 --> 00:46:18,880 Speaker 1: Yeah, I don't know. 942 00:46:19,080 --> 00:46:22,600 Speaker 3: That's it's sick honestly, the way that we've basically legalized 943 00:46:22,600 --> 00:46:25,839 Speaker 3: corruption here. But whatever, So that's the story. You can 944 00:46:25,880 --> 00:46:28,520 Speaker 3: track it for what it is. Maybe it's a deep 945 00:46:28,520 --> 00:46:31,279 Speaker 3: state hit job or not. Easy way to prove it. 946 00:46:31,440 --> 00:46:34,480 Speaker 3: Just release the tape, you know, just tell us what's 947 00:46:34,520 --> 00:46:37,560 Speaker 3: in the tape. If you're caught on camera accepting the 948 00:46:37,560 --> 00:46:41,400 Speaker 3: fifty thousand dollars cash in kava bag, you're corrupt in 949 00:46:41,440 --> 00:46:41,880 Speaker 3: my eyes. 950 00:46:41,920 --> 00:46:43,480 Speaker 1: That's just maybe not in the eyes of the law. 951 00:46:43,520 --> 00:46:45,680 Speaker 3: And I think that, you know, public officials should of 952 00:46:45,680 --> 00:46:48,720 Speaker 3: course be held to the highest standard. If a media 953 00:46:48,760 --> 00:46:51,160 Speaker 3: official did that and it ever leaked from Progress where 954 00:46:51,280 --> 00:46:52,200 Speaker 3: Veritas or whatever. 955 00:46:52,000 --> 00:46:54,239 Speaker 1: We'd be like, hey, come on, what's going on this? Yeah, 956 00:46:54,440 --> 00:46:56,200 Speaker 1: it was like, we can't do this, you're bringing people 957 00:46:56,239 --> 00:46:56,680 Speaker 1: the news. 958 00:46:57,000 --> 00:47:00,320 Speaker 3: It's like ten thousand times less important than actually running 959 00:47:00,320 --> 00:47:00,800 Speaker 3: the government. 960 00:47:03,360 --> 00:47:05,279 Speaker 1: All right, let's get over to the economy. 961 00:47:05,520 --> 00:47:08,080 Speaker 3: We're going to start here with the story that Ryan 962 00:47:08,160 --> 00:47:14,480 Speaker 3: flagged Representative Don Bacon from Nebraska sounding the alarm on tariffs, 963 00:47:14,520 --> 00:47:17,600 Speaker 3: potentially showing some other broader problems in the economy. 964 00:47:17,680 --> 00:47:18,440 Speaker 1: Let's take a listen. 965 00:47:18,640 --> 00:47:21,040 Speaker 12: Most people will tell you this is not your emergency powers. 966 00:47:20,880 --> 00:47:22,919 Speaker 8: What he's doing, and is it hurting your constituents? 967 00:47:23,280 --> 00:47:27,320 Speaker 12: Yes, right, we heard just yesterday. We have a company 968 00:47:27,320 --> 00:47:31,200 Speaker 12: that makes combines. They're moving all of their manufacturing that 969 00:47:31,280 --> 00:47:34,600 Speaker 12: makes combines for Canada to Europe because of the tariffs 970 00:47:34,640 --> 00:47:37,440 Speaker 12: from going to US to Cana too high. They can't compete, 971 00:47:37,560 --> 00:47:40,120 Speaker 12: so they're going to move all the manufacturing for Canadian 972 00:47:40,160 --> 00:47:44,000 Speaker 12: combines to Europe. That's hundreds of jobs right there. Iowa 973 00:47:44,160 --> 00:47:46,680 Speaker 12: and Nebraska are really struggling right now with our farm economy. 974 00:47:46,960 --> 00:47:50,439 Speaker 12: We're not growing markets for corner soybeans. The presence making 975 00:47:50,440 --> 00:47:53,000 Speaker 12: trade deals, but not a single country that I can 976 00:47:53,040 --> 00:47:56,400 Speaker 12: see has bought more corner soybeans, and that's what we 977 00:47:56,440 --> 00:47:58,920 Speaker 12: really need right now. Tariffs aren't working. At least the 978 00:47:58,920 --> 00:48:02,560 Speaker 12: coffee well, I went to black coffee, but I came 979 00:48:02,600 --> 00:48:04,719 Speaker 12: back and from my apartment and it was up four 980 00:48:04,760 --> 00:48:07,879 Speaker 12: dollars to the bag that I buy. Right, people, that's 981 00:48:07,880 --> 00:48:10,280 Speaker 12: not that's not success right there? 982 00:48:10,600 --> 00:48:12,279 Speaker 3: What'd you make of that, run Don Bacon. I mean, 983 00:48:12,360 --> 00:48:15,480 Speaker 3: let's contextualize him. He is, you know, to say Republican, 984 00:48:15,520 --> 00:48:18,440 Speaker 3: it's like moderate republican, not even come on, not moderate, 985 00:48:18,600 --> 00:48:20,800 Speaker 3: like mass liberal republican. 986 00:48:20,920 --> 00:48:23,280 Speaker 1: Yeah there you go. No, but it's because it's not social. 987 00:48:23,360 --> 00:48:28,120 Speaker 3: It's like pro Ukraine, Neocon, low taxes, all of that. 988 00:48:28,200 --> 00:48:30,640 Speaker 3: So I just want to contextualize that for the audience. 989 00:48:30,680 --> 00:48:33,680 Speaker 3: That said, any retiring Republican has a lot more ability 990 00:48:33,719 --> 00:48:37,040 Speaker 3: to speak freely, asked Tom Tillis. So I'm finding it 991 00:48:37,120 --> 00:48:39,720 Speaker 3: interesting some of the things that they're saying potentially about 992 00:48:39,760 --> 00:48:41,960 Speaker 3: you know, blinking red lights, not just in the economy 993 00:48:42,000 --> 00:48:43,600 Speaker 3: in their district, and potentially for what. 994 00:48:43,560 --> 00:48:45,120 Speaker 1: That could mean for the midterms. 995 00:48:45,360 --> 00:48:47,360 Speaker 4: So he's and he also has his finger on the 996 00:48:47,360 --> 00:48:49,000 Speaker 4: pulse of the economy back in Nebraska. 997 00:48:49,080 --> 00:48:49,600 Speaker 1: Yeah, that's fair. 998 00:48:49,800 --> 00:48:53,239 Speaker 4: And so I called a couple of combine there's not 999 00:48:53,280 --> 00:48:57,520 Speaker 4: many combine manufacturers out in Nebraska, and I found the 1000 00:48:57,520 --> 00:49:00,239 Speaker 4: one because there haven't actually been any news reports. Yeah, 1001 00:49:00,400 --> 00:49:02,120 Speaker 4: it's And from the guy that I talked to on 1002 00:49:02,160 --> 00:49:03,120 Speaker 4: the phone, it seemed. 1003 00:49:02,880 --> 00:49:05,560 Speaker 3: Like they were like, oh, they can kind of oh 1004 00:49:05,600 --> 00:49:06,680 Speaker 3: he kind of let the cat out. 1005 00:49:06,760 --> 00:49:09,759 Speaker 4: Yeah, we were just kind of letting him know. And 1006 00:49:09,800 --> 00:49:12,080 Speaker 4: now all the workers are finding out about it, you know, 1007 00:49:12,120 --> 00:49:15,800 Speaker 4: through him telling Montraju on CNN. But the company I 1008 00:49:15,840 --> 00:49:19,040 Speaker 4: can report here is called Klaus It's a German Uh, 1009 00:49:19,360 --> 00:49:22,640 Speaker 4: it's a German company that was founded in like nineteen 1010 00:49:22,680 --> 00:49:25,880 Speaker 4: thirteen that opened and Omaha opened its Omaha plant in 1011 00:49:25,960 --> 00:49:29,160 Speaker 4: nineteen ninety nine, does have hundreds and hundreds of employees. 1012 00:49:29,280 --> 00:49:30,879 Speaker 4: They said they'd get me as they're going to try 1013 00:49:30,880 --> 00:49:32,200 Speaker 4: to get me a statement. We'll see if it comes 1014 00:49:32,239 --> 00:49:35,719 Speaker 4: in by the end of this segment on the details 1015 00:49:35,760 --> 00:49:38,880 Speaker 4: of what's going on. And he said, you know, the 1016 00:49:38,920 --> 00:49:41,440 Speaker 4: impression that he left was that they're closing the entire plant. 1017 00:49:41,480 --> 00:49:43,279 Speaker 4: But if you listen very closely to what he said, 1018 00:49:43,840 --> 00:49:48,120 Speaker 4: the manufacturing that they're doing of combines for Canada is 1019 00:49:48,160 --> 00:49:51,560 Speaker 4: being moved to Europe. So it's not the So if 1020 00:49:51,560 --> 00:49:54,959 Speaker 4: you work in this plant and you and you work 1021 00:49:55,400 --> 00:50:00,719 Speaker 4: on combines for the domestic market, then your job might 1022 00:50:00,760 --> 00:50:04,080 Speaker 4: be safe. But the plant itself is going to shrink 1023 00:50:04,160 --> 00:50:08,240 Speaker 4: significantly because if you are a manufacturer, you are trying 1024 00:50:08,280 --> 00:50:12,640 Speaker 4: to not just build for the American domestic economy, you're 1025 00:50:12,680 --> 00:50:16,680 Speaker 4: trying to export your products too. And think about it, 1026 00:50:16,760 --> 00:50:19,400 Speaker 4: if you're an European company and you're making for the 1027 00:50:19,440 --> 00:50:23,799 Speaker 4: Canadian market, you want to open a plant up in 1028 00:50:24,000 --> 00:50:27,680 Speaker 4: Nebraska so that after you make the combine, you throw 1029 00:50:27,680 --> 00:50:30,200 Speaker 4: it on a truck. Not cheap to move a combine. 1030 00:50:30,680 --> 00:50:34,240 Speaker 4: You know, of course it's huge, but if you're in Nebraska, 1031 00:50:34,280 --> 00:50:37,480 Speaker 4: it's a little bit better. And so for the last 1032 00:50:37,480 --> 00:50:41,080 Speaker 4: twenty six years, it made sense for them to make 1033 00:50:41,280 --> 00:50:47,080 Speaker 4: combines for the Canadian market right there in Nebraska. And 1034 00:50:47,160 --> 00:50:50,040 Speaker 4: now they're saying, because of the tariffs, that doesn't make 1035 00:50:50,040 --> 00:50:54,160 Speaker 4: sense anymore. And they already have manufacturing capacity in Europe. 1036 00:50:54,600 --> 00:50:57,920 Speaker 4: They have a France production. Are German companies that have 1037 00:50:58,040 --> 00:51:01,440 Speaker 4: got German plants. So they're going to hire more European workers, 1038 00:51:02,480 --> 00:51:04,440 Speaker 4: and then they'll pay a little extra in the shipping 1039 00:51:04,480 --> 00:51:06,600 Speaker 4: just to put them on a boat, not that much 1040 00:51:06,640 --> 00:51:07,880 Speaker 4: and get them on the boat and get them over 1041 00:51:08,040 --> 00:51:10,200 Speaker 4: and then you sell them to Canada and we're out, 1042 00:51:10,280 --> 00:51:15,920 Speaker 4: and those those Nebraskans are then out of work at 1043 00:51:15,920 --> 00:51:20,360 Speaker 4: the same time, company John Deere, Caterpillar, all these others 1044 00:51:20,360 --> 00:51:25,279 Speaker 4: have said that they are suffering because farmers can't sell you. 1045 00:51:25,800 --> 00:51:29,080 Speaker 4: They keep farmers keep talking about how by this time 1046 00:51:29,360 --> 00:51:32,319 Speaker 4: of the year they're starting to do soybean harvesting like 1047 00:51:32,360 --> 00:51:34,520 Speaker 4: they have usually locked in contracts for. 1048 00:51:35,120 --> 00:51:37,520 Speaker 1: And that's a big Chinese market, just to explain to. 1049 00:51:38,040 --> 00:51:41,520 Speaker 4: Like, China eats something like two thirds of soybeans in 1050 00:51:41,560 --> 00:51:44,239 Speaker 4: the world, and they buy a huge amount of that 1051 00:51:44,440 --> 00:51:47,120 Speaker 4: from the US and from Brazil. And this year they 1052 00:51:47,160 --> 00:51:50,240 Speaker 4: have booked and it shows how effectively China can control 1053 00:51:50,320 --> 00:51:55,040 Speaker 4: it its commercial sector. They have booked zero contracts in 1054 00:51:55,080 --> 00:51:58,840 Speaker 4: the United States. And now all these American farmers are 1055 00:51:58,840 --> 00:52:02,240 Speaker 4: sitting there with so mean they are then not buying 1056 00:52:03,000 --> 00:52:07,800 Speaker 4: combines and tractors and other capital upgrades for their farms 1057 00:52:07,800 --> 00:52:12,759 Speaker 4: for the for the coming years. Just and actually we 1058 00:52:13,080 --> 00:52:14,840 Speaker 4: can get to I think the White House responded to that, 1059 00:52:14,960 --> 00:52:18,840 Speaker 4: we can go to C two here speaking of the 1060 00:52:19,000 --> 00:52:22,120 Speaker 4: kind of economy kind of and Trump's management of it 1061 00:52:22,200 --> 00:52:25,560 Speaker 4: coming apart of seems like you know, they recently he 1062 00:52:25,640 --> 00:52:31,279 Speaker 4: was frustrated by he was ironically frustrated that the BLS 1063 00:52:32,400 --> 00:52:35,840 Speaker 4: data was showing a weaker economy than he wanted, and 1064 00:52:35,920 --> 00:52:39,280 Speaker 4: there were some revisions that were downward. I say ironically 1065 00:52:39,320 --> 00:52:42,360 Speaker 4: because it was those downer revisions and the lower numbers 1066 00:52:42,440 --> 00:52:44,480 Speaker 4: that finally gave him the thing that he wanted, which 1067 00:52:44,560 --> 00:52:48,520 Speaker 4: was the the Federal Reserve interest rate cut. But he 1068 00:52:48,560 --> 00:52:51,280 Speaker 4: was so outraged that the low numbers that he brings 1069 00:52:51,280 --> 00:52:58,600 Speaker 4: in a new BLS guy absolutely just objectively unqualified for 1070 00:52:58,680 --> 00:53:04,360 Speaker 4: it and now is just out here postponing without explanation. 1071 00:53:04,840 --> 00:53:07,880 Speaker 1: Yeah, the BLS said, here's what they said. 1072 00:53:07,960 --> 00:53:11,560 Speaker 3: The annual release of consumer data set for Tuesday will 1073 00:53:11,600 --> 00:53:13,439 Speaker 3: be rescheduled to a later date. 1074 00:53:13,560 --> 00:53:17,000 Speaker 1: We will update users when more information is available. 1075 00:53:17,520 --> 00:53:19,920 Speaker 3: Then they said that the report was being delayed to 1076 00:53:19,960 --> 00:53:23,120 Speaker 3: a quote data quality issue and will now be out 1077 00:53:23,400 --> 00:53:28,000 Speaker 3: October thirtieth, so the day before Halloween. So I guess 1078 00:53:28,000 --> 00:53:31,000 Speaker 3: it'll be a fun day to actually cover what's going on. 1079 00:53:31,120 --> 00:53:35,080 Speaker 3: As you said, Ryan, great job, very interesting story there 1080 00:53:35,280 --> 00:53:37,759 Speaker 3: on the combine kind of a microcosm of some of 1081 00:53:37,800 --> 00:53:40,439 Speaker 3: the ill conceived way that this is all going down 1082 00:53:40,520 --> 00:53:42,719 Speaker 3: On the spending level. We're also seeing some of this 1083 00:53:42,880 --> 00:53:46,000 Speaker 3: put C four please up on the screen. Low income 1084 00:53:46,080 --> 00:53:49,960 Speaker 3: Americans are slashing spending worrying sign for the economy. We 1085 00:53:50,000 --> 00:53:51,960 Speaker 3: talked about this a little bit earlier, but just want 1086 00:53:52,000 --> 00:53:55,000 Speaker 3: to continue to hammer it home. Spending is softening in 1087 00:53:55,040 --> 00:53:59,319 Speaker 3: a fragmented way, with wealthy Americans also scaling back in 1088 00:53:59,320 --> 00:54:02,759 Speaker 3: some ways. A US consumer spending is not just softening overall, 1089 00:54:03,000 --> 00:54:05,600 Speaker 3: it's doing so in a fragmented way. If the benefits 1090 00:54:05,600 --> 00:54:07,719 Speaker 3: and the pressures are not shared broadly, then we're looking 1091 00:54:07,880 --> 00:54:10,000 Speaker 3: not looking at a balanced or a healthy state of 1092 00:54:10,040 --> 00:54:13,800 Speaker 3: the US consumer base. Working class Americans, already up against 1093 00:54:13,800 --> 00:54:17,040 Speaker 3: waning wage growth, rising house and electricity costs, are burning 1094 00:54:17,719 --> 00:54:21,040 Speaker 3: any are burned by any increase in grocery prices, tear 1095 00:54:21,120 --> 00:54:25,320 Speaker 3: fueld increase on household staples, apparel, and furniture, increasingly dipping 1096 00:54:25,320 --> 00:54:30,080 Speaker 3: into savings, racking up more debt, pulling back on discretionary spending. Meanwhile, 1097 00:54:30,120 --> 00:54:32,120 Speaker 3: those in the middle and upper income tiers are being 1098 00:54:32,120 --> 00:54:34,880 Speaker 3: more strategic about when to make big purchases, buying in 1099 00:54:34,960 --> 00:54:39,280 Speaker 3: bulk and shopping at cheaper retailers. Of Moody's Retail analysts 1100 00:54:39,280 --> 00:54:42,359 Speaker 3: ITS said that the Walmart Dollar generals of the world 1101 00:54:42,400 --> 00:54:45,480 Speaker 3: have told investors they are picking up share among wealthier 1102 00:54:45,480 --> 00:54:49,000 Speaker 3: consumers where themselves also looking for bargains, and that the 1103 00:54:49,080 --> 00:54:52,000 Speaker 3: highest earners still are the only people holding up consumer 1104 00:54:52,040 --> 00:54:55,960 Speaker 3: spending and accounts for some seventy percent of gross domestic product, 1105 00:54:56,239 --> 00:54:59,160 Speaker 3: so it's a narrower base. The top ten percent of 1106 00:54:59,160 --> 00:55:01,719 Speaker 3: earners making two and fifty thousand dollars or more annually 1107 00:55:01,960 --> 00:55:04,520 Speaker 3: account for some forty nine point two percent of spending 1108 00:55:04,760 --> 00:55:07,160 Speaker 3: in the second quarter. That is up from forty five 1109 00:55:07,200 --> 00:55:10,440 Speaker 3: point eight percent during the same period two years ago. 1110 00:55:10,640 --> 00:55:13,120 Speaker 1: So top ten percent spending fifty percent of the money. 1111 00:55:13,200 --> 00:55:15,759 Speaker 4: Yeah, that's a problem, and some of that's some of 1112 00:55:15,760 --> 00:55:17,399 Speaker 4: that change is going to be sticky. Those rich people 1113 00:55:17,440 --> 00:55:20,160 Speaker 4: get into Walmart, they're gonna be like, yeah, place pretty good, 1114 00:55:20,320 --> 00:55:22,560 Speaker 4: stick around. They got a lot of stuff. I wouldn't though. 1115 00:55:22,560 --> 00:55:25,080 Speaker 1: It's pretty good. But you know, it's not just the good. 1116 00:55:25,120 --> 00:55:27,600 Speaker 4: Isn't the work? Yeah, yeah, I love Walmart? But what's 1117 00:55:27,640 --> 00:55:29,719 Speaker 4: really punching people in the face. And we could put 1118 00:55:29,760 --> 00:55:33,399 Speaker 4: up this next element. I think it's C five are 1119 00:55:33,760 --> 00:55:35,040 Speaker 4: people's electric bills. 1120 00:55:35,120 --> 00:55:38,920 Speaker 1: This is really a totally under discussed thing. Nobody, nobody 1121 00:55:38,960 --> 00:55:41,239 Speaker 1: in mainstream media is talking about this. It's crazy. Yeah, 1122 00:55:41,280 --> 00:55:42,600 Speaker 1: it is totally crazy if you look. 1123 00:55:42,680 --> 00:55:45,720 Speaker 4: And so twenty twenty two. You guys have been watching 1124 00:55:45,719 --> 00:55:47,719 Speaker 4: this program, you can probably figure out what happened there. 1125 00:55:47,920 --> 00:55:53,760 Speaker 4: Russia invaded Ukraine and that sent natural gas and broadly, 1126 00:55:54,440 --> 00:56:00,319 Speaker 4: you know, sent electriricity prices absolutely skyrocketing. They then they 1127 00:56:00,360 --> 00:56:06,400 Speaker 4: then level off. After that, you're looking at a confluence 1128 00:56:06,400 --> 00:56:12,879 Speaker 4: of things, data centers and the gobbling up of electricity 1129 00:56:12,920 --> 00:56:16,760 Speaker 4: by AI being a significant part of it. And as 1130 00:56:16,840 --> 00:56:20,440 Speaker 4: we warned about on this program, while Trump was and 1131 00:56:20,480 --> 00:56:24,200 Speaker 4: Republicans were working on the Big Beautiful Bill, they actively 1132 00:56:24,840 --> 00:56:30,440 Speaker 4: stripped away subsidies for clean energy. Over the last several years, 1133 00:56:30,800 --> 00:56:34,960 Speaker 4: clean energy has represented something like seventy to eighty percent 1134 00:56:35,080 --> 00:56:39,319 Speaker 4: of new energy brought onto the market. So if you're 1135 00:56:39,360 --> 00:56:43,200 Speaker 4: not bringing on that new energy and you're not actually 1136 00:56:43,360 --> 00:56:46,239 Speaker 4: ramping up like it's not as if people think that 1137 00:56:46,239 --> 00:56:48,080 Speaker 4: Biden was stopping them from drilling or whatever. No, they 1138 00:56:48,080 --> 00:56:50,760 Speaker 4: were drilling like crazy. There's not Actually you're not actually 1139 00:56:50,760 --> 00:56:54,120 Speaker 4: going to drill anymore. And ironically, and sager yel like 1140 00:56:54,160 --> 00:56:57,720 Speaker 4: this the way that so we've cut off, we're telling 1141 00:56:57,719 --> 00:57:00,720 Speaker 4: Europe and other places do not buy Russian natural gas 1142 00:57:00,760 --> 00:57:05,680 Speaker 4: by our natural gas. As a result, we are paying 1143 00:57:05,680 --> 00:57:06,640 Speaker 4: more for natural gas. 1144 00:57:06,680 --> 00:57:08,200 Speaker 1: Yes, I highlighted this. 1145 00:57:08,560 --> 00:57:08,799 Speaker 5: Ryan. 1146 00:57:09,160 --> 00:57:11,080 Speaker 3: I talked about this until I was blue in the 1147 00:57:11,120 --> 00:57:13,640 Speaker 3: face at the time. I go, why are we exporting 1148 00:57:13,719 --> 00:57:17,360 Speaker 3: natural gas? We're the one we make all Russia. Why 1149 00:57:17,360 --> 00:57:20,880 Speaker 3: don't we just use it for ourselves? And they're like, oh, well, 1150 00:57:20,920 --> 00:57:23,000 Speaker 3: that's not how the global commodity markets work. 1151 00:57:23,040 --> 00:57:24,840 Speaker 1: And I was like, okay, okay, well. 1152 00:57:25,160 --> 00:57:27,360 Speaker 4: Tell this part that's not yeah global commodities. 1153 00:57:27,360 --> 00:57:29,000 Speaker 3: Well no, they were like, well, you can't do that 1154 00:57:29,040 --> 00:57:32,360 Speaker 3: because it would disrupt the global commodities market, et cetera. 1155 00:57:32,400 --> 00:57:33,880 Speaker 3: And I was like, okay, well, then put a tariff 1156 00:57:33,920 --> 00:57:35,480 Speaker 3: or something on it and make them pay more for it, 1157 00:57:35,520 --> 00:57:37,680 Speaker 3: at least right to make sure that we have to 1158 00:57:37,720 --> 00:57:38,640 Speaker 3: pay a little bit. 1159 00:57:38,720 --> 00:57:41,200 Speaker 1: Like Nope, that's totally out of the question. 1160 00:57:41,320 --> 00:57:44,120 Speaker 3: Let's all just eat it so that the Dunboss region 1161 00:57:44,200 --> 00:57:47,320 Speaker 3: can be five percent more Ukrainian for a month. That's 1162 00:57:47,360 --> 00:57:50,440 Speaker 3: basically what the US policy was. It still drives me nuts. 1163 00:57:50,600 --> 00:57:53,360 Speaker 3: It's not all Ukraine. It was largely back in twenty 1164 00:57:53,400 --> 00:57:56,640 Speaker 3: twenty two, but nowadays it's data centers. We got to 1165 00:57:56,680 --> 00:57:58,960 Speaker 3: go and put C six up here on the screen 1166 00:57:59,320 --> 00:58:03,440 Speaker 3: because this, again is one of the most underdiscussed issues, 1167 00:58:03,760 --> 00:58:06,280 Speaker 3: which is these data centers are popping up everywhere, actually 1168 00:58:06,320 --> 00:58:08,200 Speaker 3: here where we live, right, This is data in the 1169 00:58:08,200 --> 00:58:11,120 Speaker 3: capital of the world. Because of the government and Amazon 1170 00:58:11,160 --> 00:58:13,440 Speaker 3: and all these people have all these contracts. The government 1171 00:58:13,480 --> 00:58:15,960 Speaker 3: has the largest data centers in the world, on top 1172 00:58:16,000 --> 00:58:19,560 Speaker 3: of the big tech companies like Meta and Google. Everybody 1173 00:58:19,560 --> 00:58:22,080 Speaker 3: in the AI race en video. Yeah, we have the 1174 00:58:22,160 --> 00:58:24,560 Speaker 3: NSA and all of that. But I'm talking about it's 1175 00:58:24,560 --> 00:58:26,880 Speaker 3: not just a Northern Virginia problem or a Maryland problem. Now, 1176 00:58:26,920 --> 00:58:30,480 Speaker 3: it's like American it's down in Texas, which has its 1177 00:58:30,560 --> 00:58:34,160 Speaker 3: own grid that's separate from everybody else. But what we 1178 00:58:34,280 --> 00:58:37,960 Speaker 3: know is that increasing numbers of states are under major 1179 00:58:38,000 --> 00:58:42,160 Speaker 3: pressure from households and from normal businesses who are saying, hey, 1180 00:58:42,520 --> 00:58:45,240 Speaker 3: these people are buying all the power, and our rates 1181 00:58:45,320 --> 00:58:48,720 Speaker 3: are going up like crazy. And these data centers actually 1182 00:58:48,720 --> 00:58:53,800 Speaker 3: strategically often pick low tax, more rural areas, which why 1183 00:58:53,800 --> 00:58:56,480 Speaker 3: wouldn't you, Yeah, right, if you're for business purposes. But 1184 00:58:56,800 --> 00:59:01,960 Speaker 3: that puts a huge strain on the Texas specifically, right, Like, look, Texas, 1185 00:59:02,240 --> 00:59:05,360 Speaker 3: the grid situation down there, it's a disaster. We can 1186 00:59:05,360 --> 00:59:08,040 Speaker 3: fight about that all day long, whether we you go nuclear, renewable, whatever, 1187 00:59:08,080 --> 00:59:10,280 Speaker 3: the point is, we need more power, all right. And 1188 00:59:10,480 --> 00:59:13,800 Speaker 3: what is interesting about it is that it's starting to 1189 00:59:13,840 --> 00:59:17,680 Speaker 3: become a ground up campaign of just normal people looking 1190 00:59:17,760 --> 00:59:19,880 Speaker 3: at their electric bills and like, hey, this is out 1191 00:59:19,880 --> 00:59:24,880 Speaker 3: of control, this is totally crazy. And it's California, Texas, Wyoming, 1192 00:59:25,040 --> 00:59:27,400 Speaker 3: you know, I mean places out in the middle of 1193 00:59:27,480 --> 00:59:30,360 Speaker 3: flyover country which often will have a data center park there, 1194 00:59:30,400 --> 00:59:32,280 Speaker 3: and then two to three years later they're just watching 1195 00:59:32,480 --> 00:59:34,200 Speaker 3: the spike go up. And actually they have all kinds 1196 00:59:34,200 --> 00:59:37,200 Speaker 3: of other problems too, with data centers that aren't nearby. 1197 00:59:37,600 --> 00:59:40,120 Speaker 3: And it's the trade off where of course it's great 1198 00:59:40,120 --> 00:59:42,800 Speaker 3: for Silicon Valley, it's great for Nvidious stock price, but 1199 00:59:42,960 --> 00:59:44,480 Speaker 3: maybe it's not so great for the rest of us. 1200 00:59:44,600 --> 00:59:47,080 Speaker 3: And you know, maybe if you're going to be buying, 1201 00:59:47,080 --> 00:59:48,840 Speaker 3: if you're going to be building these data centers and 1202 00:59:48,960 --> 00:59:51,680 Speaker 3: supposedly pumping all this money into the local economy, it's like, well, 1203 00:59:51,680 --> 00:59:53,400 Speaker 3: maybe you should be required to invest a little bit 1204 00:59:53,440 --> 00:59:55,000 Speaker 3: into power and all this other stuff. 1205 00:59:55,120 --> 00:59:56,960 Speaker 1: But we would never think of that, would we run No. 1206 00:59:57,120 --> 00:59:59,040 Speaker 4: Yeah, And also, like the way that a lot of 1207 00:59:59,040 --> 01:00:02,560 Speaker 4: these counties work, it's legal for some of these county 1208 01:00:02,560 --> 01:00:05,400 Speaker 4: commissioners to be consultants, right at the same time, and 1209 01:00:05,440 --> 01:00:09,360 Speaker 4: state lawmakers like in Florida, for instance, are literally able 1210 01:00:09,400 --> 01:00:12,760 Speaker 4: to draw a salary as a state lawmaker and also 1211 01:00:12,920 --> 01:00:18,280 Speaker 4: be lobbyists for some data center company or whatever. And 1212 01:00:18,360 --> 01:00:21,360 Speaker 4: so then you you know, you only have to if 1213 01:00:21,400 --> 01:00:24,760 Speaker 4: you are building a data center somewhere in Wyoming, you'll 1214 01:00:25,120 --> 01:00:28,520 Speaker 4: give three county commissioners one hundred grand each for a 1215 01:00:28,560 --> 01:00:31,040 Speaker 4: consulting fee. What do they do for the consulting fee? 1216 01:00:31,040 --> 01:00:34,720 Speaker 4: They vote yes on your data center, and then the 1217 01:00:34,800 --> 01:00:37,840 Speaker 4: company rights the rules so that they get access. They 1218 01:00:37,840 --> 01:00:44,680 Speaker 4: get privileged access to cheap energy, but also reliable energy 1219 01:00:44,920 --> 01:00:47,840 Speaker 4: like if I just said if but you know what 1220 01:00:47,880 --> 01:00:51,480 Speaker 4: it's when it's when we don't have the power to 1221 01:00:51,600 --> 01:00:55,040 Speaker 4: feed both the residential homes and the normal businesses in 1222 01:00:55,400 --> 01:00:58,840 Speaker 4: that area and the data center, the data center will 1223 01:00:59,120 --> 01:01:02,800 Speaker 4: keep running and y'all will get a rolling blackout. 1224 01:01:03,080 --> 01:01:03,480 Speaker 1: Yeah. 1225 01:01:03,520 --> 01:01:06,160 Speaker 3: One of the highlighted stats here, which is just to 1226 01:01:06,160 --> 01:01:09,080 Speaker 3: put this in perspective, some of these data centers require 1227 01:01:09,120 --> 01:01:13,080 Speaker 3: more electricity than cities the size of Pittsburgh, Cleveland, or 1228 01:01:13,160 --> 01:01:17,760 Speaker 3: New Orleans make huge factories look tiny by comparison, pushing 1229 01:01:17,800 --> 01:01:21,160 Speaker 3: policy makers to rethink a system that has spread transmission 1230 01:01:21,480 --> 01:01:25,440 Speaker 3: costs among classes of consumers proportional to electricity use. 1231 01:01:25,920 --> 01:01:27,400 Speaker 4: And then they rethink and they're like, let me look 1232 01:01:27,400 --> 01:01:30,320 Speaker 4: at that contract and they're like, oh, this contract is not. 1233 01:01:30,440 --> 01:01:34,720 Speaker 3: And time for my daily China does it a better way. 1234 01:01:34,920 --> 01:01:38,720 Speaker 3: I follow these AI researchers and others that go to 1235 01:01:38,800 --> 01:01:41,320 Speaker 3: China and they kind of report back for the US 1236 01:01:41,440 --> 01:01:43,680 Speaker 3: financial industry just to check back, and they're like, Hey, 1237 01:01:43,720 --> 01:01:47,560 Speaker 3: what's China doing. And they ask because they presume that 1238 01:01:47,600 --> 01:01:49,520 Speaker 3: everybody else has our problems. They're like, what are you 1239 01:01:49,560 --> 01:01:50,720 Speaker 3: guys going to do about power? 1240 01:01:50,760 --> 01:01:52,360 Speaker 1: They're like, what do you mean? We have plenty of power, 1241 01:01:52,600 --> 01:01:55,160 Speaker 1: Like we're not worried about power, Like this is they said, 1242 01:01:55,240 --> 01:01:57,760 Speaker 1: quote electricity here is a solved problem. 1243 01:01:58,320 --> 01:02:00,720 Speaker 3: Now it's dirty, all right. I mean not all of 1244 01:02:00,760 --> 01:02:04,200 Speaker 3: it's nice. Some of it's solar, which is filthy to 1245 01:02:04,280 --> 01:02:06,040 Speaker 3: create some of its hydro. 1246 01:02:06,240 --> 01:02:08,560 Speaker 1: Some of it's coal. They don't give a shit whether 1247 01:02:08,560 --> 01:02:10,120 Speaker 1: it's coal, nuclear, or anything. 1248 01:02:10,160 --> 01:02:13,120 Speaker 3: They don't have any of the Sunrise people campaigning against 1249 01:02:13,760 --> 01:02:16,240 Speaker 3: nuclear power plants or any of that stuff. But the 1250 01:02:16,240 --> 01:02:19,680 Speaker 3: point is is that that's possible in elsewhere in the world. 1251 01:02:19,960 --> 01:02:23,080 Speaker 3: They don't think about power. They think it's cheap, plentiful. 1252 01:02:23,320 --> 01:02:26,240 Speaker 3: And the reason why that's important is that if you 1253 01:02:26,280 --> 01:02:28,800 Speaker 3: want to build a future on top of something, that's 1254 01:02:28,840 --> 01:02:31,800 Speaker 3: what infrastructure matters for. That's what the original grid system 1255 01:02:31,840 --> 01:02:34,000 Speaker 3: of the United States of America was kind of laid 1256 01:02:34,000 --> 01:02:36,280 Speaker 3: out after the post New Deal era, is like the 1257 01:02:36,320 --> 01:02:39,080 Speaker 3: backbone of which all of us can build better lives 1258 01:02:39,120 --> 01:02:41,400 Speaker 3: on top of. Not to be kind of you know, 1259 01:02:41,480 --> 01:02:45,120 Speaker 3: commoditized and bought entirely by some data center and then 1260 01:02:45,160 --> 01:02:47,200 Speaker 3: spread the costs to the rest of us. 1261 01:02:47,200 --> 01:02:52,320 Speaker 4: And the big beautiful bill actively aggressively targeted renewable energy 1262 01:02:52,360 --> 01:02:57,040 Speaker 4: projects for destruction. That's true, like it's said, and it 1263 01:02:57,120 --> 01:02:59,480 Speaker 4: was loosened up a tiny bit at the very end, 1264 01:02:59,520 --> 01:03:04,240 Speaker 4: but it's basically said, if your project is not operational, 1265 01:03:04,480 --> 01:03:09,000 Speaker 4: like producing energy within like sixty days of the chassage 1266 01:03:09,000 --> 01:03:13,080 Speaker 4: of this bill, you're done forget it. Which is none 1267 01:03:13,120 --> 01:03:16,160 Speaker 4: of them like that, You don't just you know, people 1268 01:03:16,160 --> 01:03:17,960 Speaker 4: are trying to figure out ways to fake it, like Okay, 1269 01:03:17,960 --> 01:03:19,760 Speaker 4: well we'll plug in like a car battery to a 1270 01:03:19,760 --> 01:03:23,840 Speaker 4: solar panel and say we're producing energy. But that's based 1271 01:03:23,880 --> 01:03:26,360 Speaker 4: on so but most companies are like, all right, well, 1272 01:03:26,400 --> 01:03:28,880 Speaker 4: America is not a place that supports the development of 1273 01:03:28,920 --> 01:03:30,960 Speaker 4: new energy projects. 1274 01:03:30,400 --> 01:03:33,360 Speaker 3: So well go it's I mean, the big beautiful bill thing. 1275 01:03:33,720 --> 01:03:35,280 Speaker 3: I don't disagree with you. I think there was a 1276 01:03:35,360 --> 01:03:38,840 Speaker 3: very stupid way about them. I was say, yeah, it's 1277 01:03:38,880 --> 01:03:41,920 Speaker 3: not all like it. Also, it's my issue more with 1278 01:03:41,960 --> 01:03:43,720 Speaker 3: it is that they go all in on solar and wind. 1279 01:03:43,760 --> 01:03:46,040 Speaker 3: I've done endless number of segments here. Why solar and 1280 01:03:46,040 --> 01:03:47,720 Speaker 3: wind I think alone or not the answer. I think 1281 01:03:47,760 --> 01:03:51,040 Speaker 3: nuclear is the obvious answer. By the way, the Trump administration, hey, 1282 01:03:51,040 --> 01:03:53,479 Speaker 3: make big promises on nuclear, still haven't seen a damn 1283 01:03:53,480 --> 01:03:55,320 Speaker 3: thing happen on it, just so everybody knows. So it's 1284 01:03:55,360 --> 01:03:58,200 Speaker 3: like like they are delivering. By the net effect is 1285 01:03:58,200 --> 01:04:01,240 Speaker 3: basically a gift to the oil and gas industry, which look, 1286 01:04:01,240 --> 01:04:04,320 Speaker 3: I'm not ideologically opposed to the oil and gas industry. 1287 01:04:04,320 --> 01:04:06,280 Speaker 3: I just don't think it's nearly as efficient as a 1288 01:04:06,280 --> 01:04:09,040 Speaker 3: lot of other different types and the and yeah. 1289 01:04:08,880 --> 01:04:09,440 Speaker 1: Right exactly. 1290 01:04:09,520 --> 01:04:11,200 Speaker 3: It's just like everyone I think should compete on its 1291 01:04:11,200 --> 01:04:13,720 Speaker 3: own and we can make the most efficient type of power. 1292 01:04:13,800 --> 01:04:16,320 Speaker 1: It seems to me the nuclear is obviously the answer. 1293 01:04:16,360 --> 01:04:18,600 Speaker 3: And yet you know, we have all kinds of ideological 1294 01:04:18,840 --> 01:04:21,240 Speaker 3: reasons for why that doesn't happen. But that's kind of 1295 01:04:21,240 --> 01:04:23,040 Speaker 3: the issue is if you just take away and you 1296 01:04:23,040 --> 01:04:24,600 Speaker 3: don't add them prices. 1297 01:04:24,240 --> 01:04:26,040 Speaker 1: Right, that's the key thing that's problem. 1298 01:04:26,040 --> 01:04:29,479 Speaker 4: The bill tilted the playing field against clean energy, Wasn't 1299 01:04:29,480 --> 01:04:32,240 Speaker 4: that it said, Okay, we're all going to compete on 1300 01:04:32,280 --> 01:04:33,760 Speaker 4: a level playing field. It's like, no, we're going to 1301 01:04:33,800 --> 01:04:37,160 Speaker 4: make it easier for fossil fuels, subsidize them. We're going 1302 01:04:37,240 --> 01:04:40,280 Speaker 4: to make it harder for this, Like, why are you 1303 01:04:40,280 --> 01:04:42,240 Speaker 4: making harder for any energy when. 1304 01:04:42,280 --> 01:04:44,080 Speaker 1: Right, yeah, we just needed more power. 1305 01:04:44,200 --> 01:04:48,040 Speaker 4: Yeah, so we're getting rolling blackouts and you're just gonna 1306 01:04:48,080 --> 01:04:48,640 Speaker 4: have to deal with it. 1307 01:04:48,640 --> 01:04:50,400 Speaker 3: I don't know if we're going to get rolling blackouts, 1308 01:04:50,440 --> 01:04:53,840 Speaker 3: but we will get rolling What was the what happened 1309 01:04:53,840 --> 01:04:56,000 Speaker 3: before the rolling blackouts in California? It was like sky 1310 01:04:56,120 --> 01:04:57,920 Speaker 3: high bills, right, you know, people were paying like four 1311 01:04:58,000 --> 01:05:01,720 Speaker 3: hundred dollars in like two thousand two money, which is 1312 01:05:01,800 --> 01:05:05,800 Speaker 3: like two thousand dollars today for their electric bills. 1313 01:05:05,800 --> 01:05:09,480 Speaker 1: Man, I don't I don't even know. H