1 00:00:03,560 --> 00:00:06,600 Speaker 1: This is what happens when the fourth Turning meets fifth 2 00:00:06,640 --> 00:00:07,600 Speaker 1: generation warfare. 3 00:00:11,200 --> 00:00:18,920 Speaker 2: A commentator, international social media sensation and former Navy intelligence veteran. 4 00:00:18,800 --> 00:00:22,439 Speaker 3: This is Human Events with your host Jack Pisovic christ 5 00:00:22,720 --> 00:00:23,239 Speaker 3: Is King. 6 00:00:23,400 --> 00:00:27,120 Speaker 4: President has always remained consistent and that he kicked Jeffrey 7 00:00:27,120 --> 00:00:29,720 Speaker 4: Epstein out of his club at mar A Lago because, frankly, 8 00:00:29,800 --> 00:00:32,840 Speaker 4: Jeffrey Epstein was a creep and unlike many other people 9 00:00:32,920 --> 00:00:36,120 Speaker 4: who are named in these files, President Trump cut off 10 00:00:36,120 --> 00:00:39,800 Speaker 4: his relationship with Jeffrey Epstein and was honest and transparent 11 00:00:39,840 --> 00:00:41,320 Speaker 4: about that for years and years. 12 00:00:41,440 --> 00:00:44,640 Speaker 5: He delayed January Jobs report released just a few moments ago, 13 00:00:44,960 --> 00:00:47,479 Speaker 5: and it shows that the United States economy added one 14 00:00:47,560 --> 00:00:50,879 Speaker 5: hundred and thirty thousand jobs last month, far more than 15 00:00:50,920 --> 00:00:54,880 Speaker 5: the fifty five thousand that was expected. The unemployment rate 16 00:00:55,280 --> 00:00:58,360 Speaker 5: also ticked down slightly to four point three percent. 17 00:00:58,560 --> 00:01:02,160 Speaker 6: Baby is born between January twenty twenty five in December 18 00:01:02,200 --> 00:01:06,000 Speaker 6: thirty first, twenty twenty eight are eligible for one thousand 19 00:01:06,120 --> 00:01:10,640 Speaker 6: dollars investment accounts similar to an IRA. To qualify, the 20 00:01:10,760 --> 00:01:13,240 Speaker 6: child must be a US citizen and have a Social 21 00:01:13,240 --> 00:01:14,119 Speaker 6: Security number. 22 00:01:14,440 --> 00:01:17,440 Speaker 7: Just within the past few hours, law enforcement has released 23 00:01:17,480 --> 00:01:20,880 Speaker 7: a man detained for questioning in the search for Nancy Guthrie. 24 00:01:20,959 --> 00:01:23,600 Speaker 8: So an hour and a half ago, we got kind 25 00:01:23,600 --> 00:01:28,399 Speaker 8: of a bizarre letter, an email from somebody who says 26 00:01:29,040 --> 00:01:32,679 Speaker 8: they know who the kidnapper is and that they have 27 00:01:32,840 --> 00:01:38,600 Speaker 8: tried reaching Savannah's sister Annie and Savannah's brother to know 28 00:01:38,680 --> 00:01:44,840 Speaker 8: avail and they said they want one bitcoin and as 29 00:01:44,880 --> 00:01:47,800 Speaker 8: they put it, time is more than relevant. 30 00:01:47,920 --> 00:01:50,360 Speaker 7: At least ten people have been killed in a school 31 00:01:50,400 --> 00:01:54,280 Speaker 7: shooting in a remote area of Canada's British Columbia. The 32 00:01:54,320 --> 00:01:59,120 Speaker 7: incident took place at the tumblr Ridge Secondary School, a 33 00:01:59,200 --> 00:02:02,600 Speaker 7: spokesman for the Royal Canadian Mounted Police and the shooter 34 00:02:02,720 --> 00:02:05,600 Speaker 7: then turned the gun on herself. 35 00:02:05,720 --> 00:02:08,920 Speaker 9: The people of tumblr Rich remain in a state of 36 00:02:09,040 --> 00:02:13,440 Speaker 9: crisis following one of the worst mass shootings in our 37 00:02:13,520 --> 00:02:15,800 Speaker 9: provinces and countries' history. 38 00:02:16,080 --> 00:02:22,480 Speaker 3: That includes the deceased gun person growing person Ellies John. 39 00:02:22,520 --> 00:02:25,560 Speaker 1: Welcome on board today's edition Human Events Daily. We're here 40 00:02:25,840 --> 00:02:28,640 Speaker 1: live on Real America's Voice. Today is February eleventh, twenty 41 00:02:28,639 --> 00:02:36,480 Speaker 1: twenty six. Anno dominate another day, another horrific incident of 42 00:02:36,600 --> 00:02:41,480 Speaker 1: trans violence, this time all the way up in Canada. 43 00:02:41,560 --> 00:02:44,880 Speaker 1: And of course we're breaking down all of the information, 44 00:02:45,200 --> 00:02:51,000 Speaker 1: all of the investigations, this high school situation where multiple 45 00:02:51,320 --> 00:02:55,440 Speaker 1: students killed, more injured, and at the center of it 46 00:02:55,480 --> 00:03:02,120 Speaker 1: all another trans individual. The same type of horrific violence 47 00:03:02,360 --> 00:03:06,799 Speaker 1: that we have seen ripping across Western civilization. We've seen 48 00:03:06,840 --> 00:03:09,840 Speaker 1: this type of violence in Canada, We've seen it across 49 00:03:10,280 --> 00:03:14,520 Speaker 1: the United States of America. And of course it was 50 00:03:14,680 --> 00:03:20,280 Speaker 1: transgender related violence that led to the murder of Charlie 51 00:03:20,320 --> 00:03:26,400 Speaker 1: Kirk five months ago yesterday, and that trial stands to 52 00:03:26,480 --> 00:03:31,400 Speaker 1: begin here, the first arraignment coming up in just a 53 00:03:31,400 --> 00:03:35,520 Speaker 1: couple of months. And so what are we to make 54 00:03:36,160 --> 00:03:38,560 Speaker 1: of this epidemic of trans violence? 55 00:03:40,640 --> 00:03:45,360 Speaker 3: For months now, over a year now, we have called here. 56 00:03:47,280 --> 00:03:53,280 Speaker 1: Systematically and consecutively and consistently at human events or a 57 00:03:53,360 --> 00:03:59,200 Speaker 1: full FBI federal Task force on the issue of trans violence. 58 00:04:00,200 --> 00:04:05,120 Speaker 1: Keeps happening again and again and again, and for so 59 00:04:05,160 --> 00:04:08,839 Speaker 1: many of these individuals, who we know, by the way, 60 00:04:09,680 --> 00:04:15,080 Speaker 1: are on some type of hormones, some type of medical chemical, 61 00:04:15,600 --> 00:04:24,200 Speaker 1: brain altering drugs. They are unstable, and that instability leads 62 00:04:24,200 --> 00:04:28,200 Speaker 1: to violence, and that violence leads to innocent people getting 63 00:04:28,240 --> 00:04:29,120 Speaker 1: shot and. 64 00:04:29,200 --> 00:04:30,640 Speaker 3: Killed, murdered. 65 00:04:32,120 --> 00:04:37,839 Speaker 1: Daily Mail has now published new photos of Lance Twigs 66 00:04:38,560 --> 00:04:43,720 Speaker 1: and Lance Twigs, supposedly, according to The Daily Mail, huge 67 00:04:43,760 --> 00:04:48,159 Speaker 1: exclusive out from them says the transgender lover of Charlie 68 00:04:48,200 --> 00:04:52,040 Speaker 1: Kirk's alleged killer has finally emerged from hiding five months 69 00:04:52,120 --> 00:04:56,640 Speaker 1: after the political assassination that stunned the world. Lance Twigs 70 00:04:56,720 --> 00:05:01,120 Speaker 1: vanished overnight after his living boyfriend, Tyler Robinson was unmasked 71 00:05:01,160 --> 00:05:04,400 Speaker 1: as the gunman accused of shooting Kirk as he debated 72 00:05:04,440 --> 00:05:07,000 Speaker 1: trans issues at Utah Valley University. 73 00:05:07,480 --> 00:05:08,279 Speaker 3: We're now being. 74 00:05:08,120 --> 00:05:12,520 Speaker 1: Told that he's quietly rebuilding his life hundreds of miles 75 00:05:12,560 --> 00:05:17,240 Speaker 1: away after reconciling with his strict Mormon family and relocating 76 00:05:17,279 --> 00:05:18,279 Speaker 1: with them to Texas. 77 00:05:18,279 --> 00:05:19,560 Speaker 3: The Daily Mail continues. 78 00:05:19,960 --> 00:05:23,800 Speaker 1: Sources say he spends his days gaming online and reading 79 00:05:23,800 --> 00:05:27,440 Speaker 1: fantasy novels, occasionally venturing out to grab takeout or run 80 00:05:27,600 --> 00:05:33,680 Speaker 1: errands for his parents. And there's photos of him carrying clothes, books, 81 00:05:33,680 --> 00:05:38,440 Speaker 1: some sneakers into his four bed digs what's into the 82 00:05:38,480 --> 00:05:42,480 Speaker 1: home in the suburban neighborhood. So you're seeing those photos, 83 00:05:43,160 --> 00:05:48,599 Speaker 1: you're seeing the books in his hand. Brandon Sanderson, who's 84 00:05:48,640 --> 00:05:51,760 Speaker 1: associated with the Wheel of Time and other serieses that 85 00:05:52,680 --> 00:05:55,560 Speaker 1: he's come out with in the fantasy high fantasy genre. 86 00:05:58,080 --> 00:06:01,680 Speaker 3: What do we make of this? What are we to 87 00:06:01,680 --> 00:06:02,039 Speaker 3: make of this? 88 00:06:02,400 --> 00:06:04,520 Speaker 1: Is Lance Twigs going to come out and come clean 89 00:06:04,560 --> 00:06:08,240 Speaker 1: about what happened? No I can't answer any questions, was 90 00:06:08,240 --> 00:06:10,600 Speaker 1: his response when it came up. 91 00:06:13,040 --> 00:06:17,839 Speaker 3: No I can't answer. And yet there's so much information 92 00:06:18,080 --> 00:06:19,320 Speaker 3: that has been out about this. 93 00:06:19,320 --> 00:06:29,400 Speaker 1: Individual, chat logs, comments about his online activities, extreme sexual 94 00:06:29,440 --> 00:06:33,640 Speaker 1: behaviors with Tyler Robinson, and of course the ultimate question 95 00:06:33,720 --> 00:06:39,080 Speaker 1: of all are you cooperating with authorities? And are you 96 00:06:39,320 --> 00:06:44,080 Speaker 1: or were you involved in any way in the assassination. 97 00:06:43,880 --> 00:06:48,159 Speaker 3: Of Charlie Kirk. We'll be right back. Human Events did. 98 00:07:00,560 --> 00:07:03,719 Speaker 4: Send in our way, and our Golden age has just begun. 99 00:07:03,880 --> 00:07:06,480 Speaker 1: This is Human Events with Jack Posovic. Now it's time 100 00:07:06,560 --> 00:07:10,200 Speaker 1: for everyone to understand what America first truly means. 101 00:07:10,400 --> 00:07:14,280 Speaker 3: Welcome to the Second American. 102 00:07:14,120 --> 00:07:20,440 Speaker 1: Revolution, All right, Jack Pisoba, k are back live Human 103 00:07:20,480 --> 00:07:21,920 Speaker 1: Events daily. 104 00:07:22,040 --> 00:07:26,120 Speaker 3: We're on Real America's voice, folks. 105 00:07:26,160 --> 00:07:30,239 Speaker 1: Every day, Americans make choices that shape our country's future, 106 00:07:30,280 --> 00:07:33,400 Speaker 1: right down to which cell phone provider we support. Here's 107 00:07:33,400 --> 00:07:36,160 Speaker 1: what most people don't realize. Patriot Mobile is not just 108 00:07:36,280 --> 00:07:40,480 Speaker 1: a wireless provider. Patriot Mobile is an activist organization funded 109 00:07:40,520 --> 00:07:43,240 Speaker 1: by selling top tier cell phone service. They've been on 110 00:07:43,280 --> 00:07:46,200 Speaker 1: the front lines defending our freedoms long before it was cool, 111 00:07:46,440 --> 00:07:49,920 Speaker 1: standing in the gap when others would not. The best 112 00:07:49,960 --> 00:07:52,880 Speaker 1: part is they deliver prioritize premium service on all three 113 00:07:52,920 --> 00:07:56,080 Speaker 1: major US networks, giving you the same or even better coverage, 114 00:07:56,280 --> 00:08:01,240 Speaker 1: fact by one US based customer service, unlimited data plans, 115 00:08:01,280 --> 00:08:03,880 Speaker 1: mobile hotspots, international roaming, and so much more. 116 00:08:04,160 --> 00:08:05,400 Speaker 3: And when you make the switch. 117 00:08:05,120 --> 00:08:07,640 Speaker 1: To Patriot Mobile, you help grow a movement that fuels 118 00:08:07,640 --> 00:08:11,040 Speaker 1: the Christian Conservative cause. Every bill you pay helps advance 119 00:08:11,040 --> 00:08:14,120 Speaker 1: the values of faith, family, and freedom. Switching is easier 120 00:08:14,120 --> 00:08:17,880 Speaker 1: than ever. Keep your number, keep your phone, or upgrade. 121 00:08:18,040 --> 00:08:19,880 Speaker 1: Take a stay in today. Go to Patriot Mobile dot 122 00:08:19,920 --> 00:08:22,000 Speaker 1: com slash posto or call them nine seven to two 123 00:08:22,120 --> 00:08:25,000 Speaker 1: Patriot and use promo code posts so for a free 124 00:08:25,040 --> 00:08:29,480 Speaker 1: month of service. That's Patriotmobile dot com slash Posso give 125 00:08:29,520 --> 00:08:32,040 Speaker 1: them a call nine seven to two Patriot and just 126 00:08:32,080 --> 00:08:34,320 Speaker 1: like you did during the halftime, make. 127 00:08:34,600 --> 00:08:37,120 Speaker 3: The switch today, all right. 128 00:08:37,240 --> 00:08:42,600 Speaker 1: Huge developments even overnight in the Nancy Guthrie case, the 129 00:08:42,640 --> 00:08:45,520 Speaker 1: disappearance of Nancy Guthrie a detention. 130 00:08:46,080 --> 00:08:48,480 Speaker 3: More letters that have come out. Man who is detained 131 00:08:48,520 --> 00:08:49,880 Speaker 3: and then later released. 132 00:08:50,160 --> 00:08:52,960 Speaker 1: Wanted to go through all of that and bring up, 133 00:08:53,080 --> 00:08:55,400 Speaker 1: bring us all up to speed, and folks, we've got 134 00:08:55,720 --> 00:08:58,400 Speaker 1: the best guest to be able to do so. Sheriff 135 00:08:58,600 --> 00:09:01,920 Speaker 1: Mark Lamb write down from Panow County right next to 136 00:09:01,920 --> 00:09:02,360 Speaker 1: our cheffer. 137 00:09:02,440 --> 00:09:05,520 Speaker 10: Are you. I'm doing good, Jack, Thanks for having me 138 00:09:05,559 --> 00:09:06,840 Speaker 10: back on. I appreciate you. 139 00:09:06,960 --> 00:09:07,080 Speaker 8: Well. 140 00:09:07,280 --> 00:09:07,800 Speaker 3: It's amazing. 141 00:09:07,800 --> 00:09:10,200 Speaker 1: I mean, we've got a subject matter expert like yourself, 142 00:09:10,360 --> 00:09:12,920 Speaker 1: someone who's stepped up. You're running for Congress, but you're 143 00:09:12,920 --> 00:09:17,880 Speaker 1: also lending your expertise to not just obviously the people 144 00:09:18,000 --> 00:09:21,040 Speaker 1: of your state, but also the public writ large. 145 00:09:20,960 --> 00:09:23,960 Speaker 3: That has so much invested in this story. 146 00:09:24,160 --> 00:09:26,599 Speaker 1: I mean, this has really become a story that's I 147 00:09:26,600 --> 00:09:30,319 Speaker 1: think taken the nation by storm, and we will hear 148 00:09:30,360 --> 00:09:32,200 Speaker 1: at human events and real Marcus Voice. 149 00:09:32,000 --> 00:09:33,120 Speaker 3: Have something to announce on that. 150 00:09:33,679 --> 00:09:36,559 Speaker 1: I think tomorrow we're going to have a piece coming out. 151 00:09:36,600 --> 00:09:40,040 Speaker 1: But I wanted to get your sense of just even 152 00:09:40,040 --> 00:09:43,480 Speaker 1: in the last time since we've spoken, it really feels 153 00:09:43,760 --> 00:09:46,920 Speaker 1: like the federal investigators that have come in now Cash 154 00:09:46,960 --> 00:09:50,120 Speaker 1: Betel visiting as well at the Command Center, the Tactical 155 00:09:50,160 --> 00:09:50,920 Speaker 1: Operations Center. 156 00:09:51,000 --> 00:09:52,160 Speaker 3: The talk that they've set up. 157 00:09:52,040 --> 00:09:55,400 Speaker 1: Basically that they've really been able to get a breakthrough 158 00:09:55,440 --> 00:09:57,720 Speaker 1: in this case and they're getting a lot of traction 159 00:09:57,800 --> 00:09:58,480 Speaker 1: from what we're seeing. 160 00:09:58,480 --> 00:10:02,040 Speaker 11: What's your read Well, look, the FBI is really good 161 00:10:02,040 --> 00:10:04,000 Speaker 11: at this, and they should be brought in on a 162 00:10:04,040 --> 00:10:06,560 Speaker 11: case like this because they have ability to go into 163 00:10:06,600 --> 00:10:10,000 Speaker 11: phones and computers. You know, we were told initially that 164 00:10:10,080 --> 00:10:14,240 Speaker 11: there was no video or pictures from that camera, that 165 00:10:14,320 --> 00:10:18,559 Speaker 11: it was unretrievable. The FBI gets involved, and then whether 166 00:10:18,679 --> 00:10:21,200 Speaker 11: Google had it the whole time or whatever it was, 167 00:10:21,559 --> 00:10:24,920 Speaker 11: they finally got somebody to release it. And what should 168 00:10:24,920 --> 00:10:28,240 Speaker 11: have been on the cloud or gone. It's kind of 169 00:10:28,280 --> 00:10:31,880 Speaker 11: actually concerning on one end because they didn't even have 170 00:10:31,960 --> 00:10:34,520 Speaker 11: a subscription yet this video still existed, so that should 171 00:10:34,559 --> 00:10:37,400 Speaker 11: be concerning a little bit. But thank goodness, in this case, 172 00:10:37,760 --> 00:10:40,400 Speaker 11: it was still available and they were able to recover it. 173 00:10:40,640 --> 00:10:43,720 Speaker 11: And now I think that everybody feels like that we're 174 00:10:43,760 --> 00:10:46,440 Speaker 11: finally starting to get some traction on this case and 175 00:10:46,520 --> 00:10:48,320 Speaker 11: be able to get it moving in the right direction. 176 00:10:50,360 --> 00:10:54,720 Speaker 1: Well, so when you saw the video initially, what were 177 00:10:54,760 --> 00:10:57,840 Speaker 1: some of your first, you know, indications, what were some 178 00:10:57,880 --> 00:11:00,760 Speaker 1: of your first observations you were analysis of something like this, 179 00:11:01,559 --> 00:11:05,400 Speaker 1: Did it seem like this was a professional. 180 00:11:04,800 --> 00:11:08,480 Speaker 3: Job, like so many were suggesting, Yeah, you. 181 00:11:08,440 --> 00:11:10,120 Speaker 10: Know, like you're in the Intel community. 182 00:11:10,160 --> 00:11:12,079 Speaker 11: As soon as I saw this video, I was like, Okay, 183 00:11:12,120 --> 00:11:13,440 Speaker 11: this is kind of a little bit more of a 184 00:11:13,480 --> 00:11:16,760 Speaker 11: dog and pony show than what we had originally anticipated. 185 00:11:16,800 --> 00:11:19,520 Speaker 10: The way he carries his gun, that is a little weird. 186 00:11:19,920 --> 00:11:24,320 Speaker 11: Just his comfort level being in the doorway of somebody's 187 00:11:24,360 --> 00:11:27,000 Speaker 11: home knowing that a camera is filming him at the time, 188 00:11:27,440 --> 00:11:30,280 Speaker 11: that's a little stands out to me as well. And 189 00:11:30,320 --> 00:11:32,520 Speaker 11: he was in no hurry, you know, he wasn't like 190 00:11:32,520 --> 00:11:35,000 Speaker 11: he just ripped the camera off. He took time, went 191 00:11:35,040 --> 00:11:37,840 Speaker 11: and grabbed some bushes, brought it back over. This is 192 00:11:37,840 --> 00:11:40,920 Speaker 11: a man who is very comfortable that he was not 193 00:11:40,960 --> 00:11:44,720 Speaker 11: going to be identified by that video camera. So those 194 00:11:44,720 --> 00:11:46,160 Speaker 11: are some of the things that stood out to me. 195 00:11:46,240 --> 00:11:50,360 Speaker 11: But clothing, backpack, the backpack appears to be full. You 196 00:11:50,400 --> 00:11:53,480 Speaker 11: wonder why that is the case. But there was a 197 00:11:53,520 --> 00:11:55,280 Speaker 11: lot to go off of in this video, and I 198 00:11:55,320 --> 00:11:57,720 Speaker 11: think there's some stuff within his even though he's wearing 199 00:11:57,760 --> 00:12:01,440 Speaker 11: his mask. I think you've got some face features that 200 00:12:01,520 --> 00:12:03,080 Speaker 11: you could go off of there. And my guess is 201 00:12:03,120 --> 00:12:06,440 Speaker 11: whoever this was has probably shaped his mustache and little 202 00:12:06,640 --> 00:12:09,280 Speaker 11: little Fu Manchu thing here since then. 203 00:12:09,400 --> 00:12:11,720 Speaker 10: But this is definitely going to give them something to 204 00:12:11,760 --> 00:12:12,200 Speaker 10: work with. 205 00:12:13,400 --> 00:12:16,640 Speaker 1: Oh yeah, and you'd think, but I remember once, as 206 00:12:16,640 --> 00:12:18,680 Speaker 1: you say, when I was in the Intel community, I 207 00:12:18,720 --> 00:12:21,480 Speaker 1: had and this training that I was going through, and 208 00:12:21,520 --> 00:12:24,679 Speaker 1: we actually had a retired LAPD homicide investigator who was 209 00:12:25,040 --> 00:12:28,079 Speaker 1: leading the trading and gave us the scenario and you know, 210 00:12:28,120 --> 00:12:30,680 Speaker 1: a bunch of facts basically a case miss similar missing 211 00:12:30,760 --> 00:12:33,120 Speaker 1: person case that was based on a real story, and 212 00:12:33,800 --> 00:12:35,800 Speaker 1: you know, a bunch of us in the class came 213 00:12:35,880 --> 00:12:38,360 Speaker 1: up with all sorts of different scenarios and what it 214 00:12:38,360 --> 00:12:38,920 Speaker 1: could have been. 215 00:12:39,160 --> 00:12:41,199 Speaker 3: And then he eventually told. 216 00:12:41,040 --> 00:12:43,080 Speaker 1: Us the truth. And I don't think any of us 217 00:12:43,080 --> 00:12:45,240 Speaker 1: got it right. This is you know, first year kind 218 00:12:45,280 --> 00:12:46,360 Speaker 1: of one on one level. 219 00:12:46,679 --> 00:12:47,440 Speaker 3: And he comes in, he. 220 00:12:47,440 --> 00:12:49,840 Speaker 1: Said, the problem you guys all have is that you 221 00:12:49,920 --> 00:12:54,520 Speaker 1: think criminals are smart, but typically typically it's not the 222 00:12:54,520 --> 00:12:57,840 Speaker 1: smartest kind of people that turned a crime to profit 223 00:12:58,080 --> 00:13:00,520 Speaker 1: in the first place. And so we're so and they're going, 224 00:13:00,600 --> 00:13:02,960 Speaker 1: why would they make so many mistakes? And he said, look, 225 00:13:03,000 --> 00:13:05,000 Speaker 1: they all do. They all do because they're not the 226 00:13:05,040 --> 00:13:06,720 Speaker 1: smartest people to begin with. And I think that's what 227 00:13:06,760 --> 00:13:07,600 Speaker 1: you see on this video. 228 00:13:08,520 --> 00:13:12,079 Speaker 10: Yeah, don't subscribe to conspiracy what could easily be dismissed 229 00:13:12,160 --> 00:13:13,640 Speaker 10: as incompetence. 230 00:13:13,960 --> 00:13:16,040 Speaker 11: You know a lot of times you have criminals who 231 00:13:16,080 --> 00:13:19,640 Speaker 11: are not very smart, and when I see this video, 232 00:13:19,840 --> 00:13:22,640 Speaker 11: it makes me feel more less as if this was 233 00:13:22,679 --> 00:13:26,640 Speaker 11: a kidnapping or an abduction, or maybe just a burglary 234 00:13:27,040 --> 00:13:29,800 Speaker 11: or some type of other crime that maybe just didn't 235 00:13:29,840 --> 00:13:31,439 Speaker 11: go the way they thought it was going to go, 236 00:13:31,760 --> 00:13:33,880 Speaker 11: and then they had to make an adjustment on the fly. 237 00:13:34,720 --> 00:13:38,280 Speaker 11: With Nancy Guthrie, that would be not as good because 238 00:13:38,280 --> 00:13:40,760 Speaker 11: that would, you know, then she becomes a liability in 239 00:13:40,800 --> 00:13:42,120 Speaker 11: that case, I'm. 240 00:13:42,000 --> 00:13:42,679 Speaker 10: Still very good. 241 00:13:44,520 --> 00:13:46,719 Speaker 11: Yeah, it's more like a home invasion that she was 242 00:13:46,760 --> 00:13:49,439 Speaker 11: home for and maybe that this guy didn't know if 243 00:13:49,440 --> 00:13:49,720 Speaker 11: she was. 244 00:13:49,720 --> 00:13:52,520 Speaker 10: Going to be there. Maybe he did, but you know, 245 00:13:52,600 --> 00:13:56,000 Speaker 10: this video makes it feel more like a burglary or 246 00:13:56,360 --> 00:13:57,440 Speaker 10: a crime gone wrong. 247 00:13:58,960 --> 00:14:01,080 Speaker 1: What do you make of the sense that we only 248 00:14:01,120 --> 00:14:04,160 Speaker 1: see one individual in the video. 249 00:14:03,960 --> 00:14:05,880 Speaker 3: And people suggested he could have had a vehicle. 250 00:14:05,880 --> 00:14:07,760 Speaker 1: I'm sure he had a vehicle, but that there may 251 00:14:07,760 --> 00:14:09,600 Speaker 1: have been more people in the vehicle, but we really 252 00:14:09,679 --> 00:14:11,760 Speaker 1: only see one person. 253 00:14:11,640 --> 00:14:12,440 Speaker 3: In that video. 254 00:14:12,480 --> 00:14:15,240 Speaker 1: I mean, is this the type of thing that when 255 00:14:15,280 --> 00:14:18,360 Speaker 1: you see abductions, when you see kidnappings or those home invasions, 256 00:14:18,400 --> 00:14:20,240 Speaker 1: do you really only see a single perpetrator. 257 00:14:21,880 --> 00:14:24,560 Speaker 11: You know, sometimes if you've got a random criminal burglar, 258 00:14:24,640 --> 00:14:27,280 Speaker 11: they could be a single perpetrator. But when you're involving 259 00:14:27,680 --> 00:14:30,440 Speaker 11: another person a kidnapping, now you're going to have to 260 00:14:30,480 --> 00:14:33,040 Speaker 11: start to subscribe, you know, ascribe some of that to 261 00:14:34,360 --> 00:14:38,120 Speaker 11: a conspiracy which involves two or three people. You might 262 00:14:38,160 --> 00:14:40,200 Speaker 11: have had somebody down the road in the vehicle who 263 00:14:40,240 --> 00:14:42,240 Speaker 11: was waiting to come pick them up, who was kind 264 00:14:42,280 --> 00:14:45,160 Speaker 11: of monitoring the traffic in the area. You may have 265 00:14:45,240 --> 00:14:48,720 Speaker 11: had somebody else giving him information about the house, or 266 00:14:48,800 --> 00:14:51,040 Speaker 11: who would be at the house, or where the cameras were. 267 00:14:51,440 --> 00:14:54,920 Speaker 11: My guess is there is more than one person involved here. 268 00:14:55,440 --> 00:14:58,160 Speaker 11: The one thing is it's clear that this is probably 269 00:14:58,200 --> 00:15:00,320 Speaker 11: the same person. But in some of the picture he 270 00:15:00,400 --> 00:15:02,920 Speaker 11: has that gun from office front waist, and. 271 00:15:02,840 --> 00:15:04,160 Speaker 10: In the other pictures he doesn't. 272 00:15:04,240 --> 00:15:08,440 Speaker 11: So you know, there may be a slight possibility that 273 00:15:08,480 --> 00:15:10,720 Speaker 11: you had two people dressed exactly the same, but I 274 00:15:10,800 --> 00:15:12,880 Speaker 11: doubt it. You know, this is probably going to be 275 00:15:12,920 --> 00:15:14,920 Speaker 11: one guy who decided to then should put the gun 276 00:15:14,920 --> 00:15:15,920 Speaker 11: on when he was going to go in. 277 00:15:15,880 --> 00:15:16,520 Speaker 10: The house. 278 00:15:17,840 --> 00:15:20,360 Speaker 3: Right or in fact, you know, he's got his hand 279 00:15:20,440 --> 00:15:20,640 Speaker 3: on it. 280 00:15:20,760 --> 00:15:23,160 Speaker 1: It seems that he was he's walking up, so it 281 00:15:23,280 --> 00:15:25,280 Speaker 1: could be that he was fidgeting with it, moving it 282 00:15:25,320 --> 00:15:29,160 Speaker 1: around again. But something that also speaks to someone who's 283 00:15:29,400 --> 00:15:32,960 Speaker 1: you know, probably not really you know, been very experienced 284 00:15:32,960 --> 00:15:36,720 Speaker 1: doing anything like this. Probably not someone who's had a 285 00:15:36,840 --> 00:15:39,440 Speaker 1: history of these type of things. And and certainly by 286 00:15:39,480 --> 00:15:41,600 Speaker 1: the way, you know, the first thing you check, of course, 287 00:15:41,680 --> 00:15:44,520 Speaker 1: is is the person home if this were in fact 288 00:15:44,920 --> 00:15:46,320 Speaker 1: a home invasion. 289 00:15:46,400 --> 00:15:48,440 Speaker 3: Now, obviously since then, we've. 290 00:15:48,320 --> 00:15:52,040 Speaker 1: We've had one detention, a situation where someone was looked 291 00:15:52,080 --> 00:15:54,160 Speaker 1: at a person of interest. I think that was based 292 00:15:54,200 --> 00:15:56,800 Speaker 1: off of a tip of something that came in, possibly 293 00:15:56,840 --> 00:16:00,280 Speaker 1: matching facial features. Now, as as we move now into 294 00:16:00,320 --> 00:16:03,480 Speaker 1: that phase of the investigation, should we expect to see 295 00:16:03,600 --> 00:16:06,880 Speaker 1: more of these possible you know, false IDs, these type 296 00:16:06,880 --> 00:16:07,960 Speaker 1: of things that come up. 297 00:16:08,080 --> 00:16:10,600 Speaker 3: As more and more. I'm sure they're getting flooded with tips. 298 00:16:11,800 --> 00:16:15,200 Speaker 10: Yeah, I heard that they had gotten ten thousand tips 299 00:16:15,240 --> 00:16:18,440 Speaker 10: since they released the videos that came in. Imagine having 300 00:16:18,480 --> 00:16:21,080 Speaker 10: to sift through all that information to decide what's real 301 00:16:21,160 --> 00:16:21,560 Speaker 10: what's not. 302 00:16:22,080 --> 00:16:24,440 Speaker 11: This was probably not the only guy they're sitting on. 303 00:16:24,760 --> 00:16:27,800 Speaker 11: I imagine they're sitting on four or five six other people. 304 00:16:28,600 --> 00:16:30,760 Speaker 11: You know what you do when you're trying to scare 305 00:16:30,840 --> 00:16:32,800 Speaker 11: up the birds out of the brush, You send the 306 00:16:32,840 --> 00:16:35,440 Speaker 11: dog in and that tends to just get the birds moving. 307 00:16:35,800 --> 00:16:38,320 Speaker 11: This this traffic stop could have been that could have 308 00:16:38,360 --> 00:16:41,760 Speaker 11: pulled them over, make them uncomfortable, make them make a mistake. 309 00:16:41,800 --> 00:16:44,720 Speaker 11: At this point, call somebody, move Nancy from a location 310 00:16:44,800 --> 00:16:47,520 Speaker 11: to another location. This is what you start to do. 311 00:16:47,600 --> 00:16:50,320 Speaker 11: I'm not insinuating that this guy is involved. They let 312 00:16:50,400 --> 00:16:53,120 Speaker 11: him go back they home, but that doesn't necessarily mean 313 00:16:53,120 --> 00:16:55,720 Speaker 11: he's clear either. And as far as the search warr 314 00:16:55,760 --> 00:16:57,280 Speaker 11: people said, well, they were in and out of the 315 00:16:57,320 --> 00:16:59,960 Speaker 11: search on the search warm Well, to get a judge 316 00:17:00,160 --> 00:17:02,680 Speaker 11: sign off on a search warrant on something like this 317 00:17:02,720 --> 00:17:05,439 Speaker 11: where it wasn't even his house, that search warrant is 318 00:17:05,480 --> 00:17:09,040 Speaker 11: going to have a very limited scope, and that scope 319 00:17:09,080 --> 00:17:11,200 Speaker 11: was probably just to be able to go in and 320 00:17:11,240 --> 00:17:14,320 Speaker 11: to see if Nancy Guthrie was in the residence or 321 00:17:14,359 --> 00:17:18,560 Speaker 11: if they located any of the clothes involved with the 322 00:17:18,600 --> 00:17:21,280 Speaker 11: pictures of the videos that we saw. So I would 323 00:17:21,359 --> 00:17:23,840 Speaker 11: highly doubt that a judge signed off on a broad 324 00:17:24,240 --> 00:17:26,880 Speaker 11: search warrant on that house. It was probably very limited 325 00:17:26,880 --> 00:17:29,720 Speaker 11: in scope, which would have taken not much time at 326 00:17:29,760 --> 00:17:30,960 Speaker 11: all to conduct that search. 327 00:17:31,000 --> 00:17:35,520 Speaker 1: Warm And so as you say that they're sitting on people, 328 00:17:35,560 --> 00:17:38,960 Speaker 1: that phrase more than likely is you know, as they're 329 00:17:38,960 --> 00:17:43,360 Speaker 1: sifting through this information because you've got to look for motive, 330 00:17:43,640 --> 00:17:47,120 Speaker 1: means and opportunity. So, Okay, this guy looks like him, 331 00:17:47,119 --> 00:17:49,239 Speaker 1: but he was out of state, right, so you know 332 00:17:49,280 --> 00:17:49,840 Speaker 1: it's not going. 333 00:17:49,800 --> 00:17:50,400 Speaker 3: To be that guy. 334 00:17:51,240 --> 00:17:54,080 Speaker 1: Or this is a guy who you know doesn't work 335 00:17:54,119 --> 00:17:56,560 Speaker 1: anywhere near there. But now you've got in this case, 336 00:17:56,880 --> 00:18:00,520 Speaker 1: because he's someone who partially matches the description and and 337 00:18:00,760 --> 00:18:03,960 Speaker 1: worked as a DoorDash driver in the area, it kind 338 00:18:04,000 --> 00:18:05,040 Speaker 1: of give it kind of hits. 339 00:18:05,080 --> 00:18:05,880 Speaker 3: All that is that the. 340 00:18:05,840 --> 00:18:07,879 Speaker 1: Sort of thing that investigators are looking at when they 341 00:18:07,880 --> 00:18:08,600 Speaker 1: get these tips in. 342 00:18:09,600 --> 00:18:11,760 Speaker 11: Yeah, they're probably looking at tips, They're probably looking at 343 00:18:11,760 --> 00:18:14,879 Speaker 11: cell phone pings, They're probably looking at circle K video. 344 00:18:15,240 --> 00:18:17,840 Speaker 11: There's a lot of information that we are not privy 345 00:18:17,880 --> 00:18:19,639 Speaker 11: to right now. I know we feel like we have 346 00:18:19,760 --> 00:18:22,199 Speaker 11: all the information. There is a lot of information that 347 00:18:22,240 --> 00:18:24,520 Speaker 11: we are not privy to. I will say that one 348 00:18:24,560 --> 00:18:27,000 Speaker 11: of the challenges that they face is you have the 349 00:18:27,040 --> 00:18:28,480 Speaker 11: PMA County Sheriff's Department. 350 00:18:28,520 --> 00:18:30,440 Speaker 10: You probably have some other units. 351 00:18:30,320 --> 00:18:33,440 Speaker 11: Then you have the FBI, and making sure that they're 352 00:18:33,440 --> 00:18:36,199 Speaker 11: all coordinated, that one's not jumping the gun over the 353 00:18:36,240 --> 00:18:39,680 Speaker 11: other one is going to be very important at this juncture. 354 00:18:40,040 --> 00:18:44,119 Speaker 11: And so you don't know whether maybe they preemptively stop 355 00:18:44,200 --> 00:18:46,720 Speaker 11: this guy before they were ready to actually do. 356 00:18:46,760 --> 00:18:50,360 Speaker 3: It and get jumped in coordination issues. Sheriff Lane, we're 357 00:18:50,400 --> 00:18:51,120 Speaker 3: up on a hard break. 358 00:18:51,160 --> 00:18:55,040 Speaker 1: But let's get into this communication between the locals and 359 00:18:55,119 --> 00:19:01,120 Speaker 1: federal when we come back here a Human Events Sally, Hey, you. 360 00:19:01,080 --> 00:19:07,919 Speaker 10: Talk about influences. These are influences and they're friends of mine. Jack. 361 00:19:08,080 --> 00:19:11,360 Speaker 10: Where's Jack? He's got a breakdown? 362 00:19:15,119 --> 00:19:19,280 Speaker 1: All right, Jack Pasobic, we're back live here Human Events Daily, folks. 363 00:19:19,560 --> 00:19:22,560 Speaker 1: Let me tell you something straight up. I'm a picky man. 364 00:19:23,040 --> 00:19:26,760 Speaker 1: I'm a little picky about what it comes to what 365 00:19:26,880 --> 00:19:28,679 Speaker 1: I put in my body and what I drink, what 366 00:19:28,760 --> 00:19:32,320 Speaker 1: I eat, what companies I support, and blackout. 367 00:19:31,920 --> 00:19:34,439 Speaker 3: Coffee checks every single box. 368 00:19:34,600 --> 00:19:37,440 Speaker 1: We're talking about a family run American company roasting fresh 369 00:19:37,480 --> 00:19:40,080 Speaker 1: coffee right here in the USA, built by people who 370 00:19:40,160 --> 00:19:44,000 Speaker 1: believe in hard work, freedom in this country. In twenty 371 00:19:44,000 --> 00:19:45,960 Speaker 1: twenty six, It's a huge year because we know this 372 00:19:46,040 --> 00:19:47,800 Speaker 1: year marks the two hundred and fiftieth anniversary of the 373 00:19:47,880 --> 00:19:50,399 Speaker 1: United States of America, and Blackout Coffee is celebrating it 374 00:19:50,400 --> 00:19:53,560 Speaker 1: all year long with new roasts, limited editions, and some 375 00:19:53,760 --> 00:19:57,280 Speaker 1: very exciting releases coming. I drink Blackout Coffee. I drink 376 00:19:57,320 --> 00:19:59,800 Speaker 1: it every day, every single day, morning shows, late nights, 377 00:20:00,040 --> 00:20:02,359 Speaker 1: travel days, travel down to mar A lagover for the 378 00:20:02,440 --> 00:20:07,120 Speaker 1: Hispanic Goal. Last night, we're back here in real America's 379 00:20:07,200 --> 00:20:11,679 Speaker 1: voice land for this show today. This is all all 380 00:20:12,200 --> 00:20:15,080 Speaker 1: thanks to Blackout Coffee, all to travel. 381 00:20:14,840 --> 00:20:15,560 Speaker 3: Everything we do. 382 00:20:15,840 --> 00:20:17,840 Speaker 1: Who knows it might even be out to tuoson later. 383 00:20:18,320 --> 00:20:21,639 Speaker 1: It's smooth, it's strong, and it's always fresh. Once you switch, 384 00:20:21,800 --> 00:20:24,880 Speaker 1: there is no going back. They've got something for everyone. 385 00:20:24,920 --> 00:20:28,119 Speaker 1: Morning Reaper. They're best selling medium roast. They're smooth and 386 00:20:28,240 --> 00:20:31,720 Speaker 1: never bitter, brutal awakening, a bold dark roast that actually. 387 00:20:31,359 --> 00:20:32,080 Speaker 3: Wakes you up. 388 00:20:32,280 --> 00:20:34,679 Speaker 1: For twenty twenty six, you gotta try the seventeen seventy 389 00:20:34,720 --> 00:20:38,080 Speaker 1: six dark Roast, rich and unapologetic, made to honor America's 390 00:20:38,080 --> 00:20:41,439 Speaker 1: founding and the two A medium roast, smooth, balanced and 391 00:20:41,520 --> 00:20:44,639 Speaker 1: proudly named after the Second Amendment. Your coffee shows up 392 00:20:45,000 --> 00:20:47,720 Speaker 1: fresh on schedule and you never run out. They also 393 00:20:47,800 --> 00:20:50,919 Speaker 1: have instant coffee, which a total game changer. This is 394 00:20:50,960 --> 00:20:54,159 Speaker 1: not weak gas station powder. We're talking real blackout coffee 395 00:20:54,160 --> 00:20:57,560 Speaker 1: in a packet, no machine, no mess. Add water, stir 396 00:20:57,680 --> 00:21:00,440 Speaker 1: and you're ready to roll perfect work travel keeping in 397 00:21:00,480 --> 00:21:03,040 Speaker 1: your desk or go bag. Go to Blackoutcoffee dot com 398 00:21:03,040 --> 00:21:05,560 Speaker 1: slash poso and use promo code posts So for twenty 399 00:21:05,560 --> 00:21:09,159 Speaker 1: percent off your first order. That's Blackoutcoffee dot Com slash 400 00:21:09,160 --> 00:21:13,120 Speaker 1: posso support American job, celebrate two undred fift years of freedom. 401 00:21:13,200 --> 00:21:16,200 Speaker 1: Drink coffee that tastes incredible, because every sip should feel 402 00:21:16,240 --> 00:21:19,560 Speaker 1: like a win. We're back on with Sheriff Mark Lamb, 403 00:21:19,560 --> 00:21:24,520 Speaker 1: who's now also running for Congress in Arizona. He's providing 404 00:21:24,520 --> 00:21:29,119 Speaker 1: his expertise. His leadership stepped up when his public called 405 00:21:29,160 --> 00:21:31,960 Speaker 1: in terms of law enforcement. He's stepping up now in 406 00:21:32,080 --> 00:21:35,760 Speaker 1: terms of leadership, and he's providing his expertise as this 407 00:21:35,840 --> 00:21:37,119 Speaker 1: investigation goes on. 408 00:21:37,680 --> 00:21:40,760 Speaker 3: In the disappearance of Nancy Gothrie. 409 00:21:40,320 --> 00:21:44,200 Speaker 1: Sheriff, I have to ask you, what are we to 410 00:21:44,320 --> 00:21:48,399 Speaker 1: make of these ransom letters, these purported ransom letters. The 411 00:21:48,480 --> 00:21:52,520 Speaker 1: bitcoin there's a new letter out saying, oh, I've got information. 412 00:21:52,160 --> 00:21:56,200 Speaker 3: On the other letters? Is it? How do you vet 413 00:21:56,440 --> 00:21:57,240 Speaker 3: in any way? 414 00:21:57,320 --> 00:21:59,480 Speaker 1: And I say this as a guy who was in intelligence, 415 00:22:00,240 --> 00:22:02,480 Speaker 1: how do you really able to vet any of this? 416 00:22:04,240 --> 00:22:06,439 Speaker 10: Yeah, you really can't, and you have to just do 417 00:22:06,520 --> 00:22:07,320 Speaker 10: the best you can. 418 00:22:07,760 --> 00:22:10,120 Speaker 11: These guys now they have to take some of them 419 00:22:10,160 --> 00:22:14,560 Speaker 11: pretty serious, because what if they are real and you 420 00:22:14,600 --> 00:22:15,680 Speaker 11: don't take it serious. 421 00:22:15,760 --> 00:22:19,080 Speaker 10: So this is a tough job. I can only imagine 422 00:22:19,080 --> 00:22:21,280 Speaker 10: how many fraudsters are showing up to. 423 00:22:22,760 --> 00:22:26,080 Speaker 11: This tragedy. We see it all the time in the 424 00:22:26,080 --> 00:22:28,720 Speaker 11: sheriff's office. You know, there's constantly people trying to fraud 425 00:22:28,760 --> 00:22:31,919 Speaker 11: other people. They will take advantage of a situation like this. 426 00:22:32,840 --> 00:22:35,639 Speaker 11: Do not think that fraud These fraudsters are above this, 427 00:22:35,840 --> 00:22:37,840 Speaker 11: just because of the nature of this situation. 428 00:22:38,040 --> 00:22:40,920 Speaker 10: So I've been dubious of these letters from the beginning. 429 00:22:41,400 --> 00:22:44,800 Speaker 11: I just I find certain pieces of it odd, and 430 00:22:46,119 --> 00:22:48,399 Speaker 11: I just I think this is a different type of 431 00:22:48,440 --> 00:22:52,400 Speaker 11: crime as opposed to your traditional type of kidnapping. 432 00:22:54,600 --> 00:22:56,800 Speaker 1: And that seems to be what I think a lot 433 00:22:56,880 --> 00:23:00,840 Speaker 1: of people are looking at, because in a kidnapping, you'd 434 00:23:00,960 --> 00:23:03,680 Speaker 1: want the money to be transferred as fast as possible. 435 00:23:03,720 --> 00:23:07,199 Speaker 1: The motive is financial, so it's a business. There's no 436 00:23:07,560 --> 00:23:11,000 Speaker 1: reason to drag things on. There's no reason to put 437 00:23:11,000 --> 00:23:14,320 Speaker 1: the family through this much time because you just want 438 00:23:14,320 --> 00:23:15,480 Speaker 1: the money, and then you want to be able to 439 00:23:15,480 --> 00:23:18,399 Speaker 1: get away without being caught. The longer you wait, the 440 00:23:18,560 --> 00:23:21,119 Speaker 1: higher the chances are of you getting caught. 441 00:23:21,200 --> 00:23:22,520 Speaker 3: And then, on. 442 00:23:22,920 --> 00:23:26,840 Speaker 1: A more somber note, though, the lack of any kind 443 00:23:27,000 --> 00:23:31,520 Speaker 1: of communication regarding proof of life, obviously I think stands 444 00:23:31,560 --> 00:23:33,560 Speaker 1: out as a pretty big red flag to a lot 445 00:23:33,560 --> 00:23:33,960 Speaker 1: of people. 446 00:23:35,160 --> 00:23:37,200 Speaker 10: It does, and it stands out as a red flag 447 00:23:37,240 --> 00:23:38,000 Speaker 10: for me as well. 448 00:23:38,359 --> 00:23:40,440 Speaker 11: Like you said, if this was about the money, if 449 00:23:40,440 --> 00:23:43,400 Speaker 11: you truly wanted the six million, it's very simple send 450 00:23:43,440 --> 00:23:46,199 Speaker 11: something showing proof of life, even if you sent it 451 00:23:46,280 --> 00:23:48,800 Speaker 11: back through the media sources that they've been working with 452 00:23:49,200 --> 00:23:50,080 Speaker 11: up until now. 453 00:23:50,760 --> 00:23:53,160 Speaker 10: That is a simple ask on the family's part. 454 00:23:53,200 --> 00:23:56,520 Speaker 11: It's also part of how we run these types of investigations, 455 00:23:56,880 --> 00:23:59,960 Speaker 11: you know. So she's got a simple that's a simple 456 00:24:00,280 --> 00:24:02,480 Speaker 11: show the proof of life, and I think they would 457 00:24:02,480 --> 00:24:05,160 Speaker 11: be a lot more inclined to make the bitcoin transfer. 458 00:24:05,600 --> 00:24:08,000 Speaker 11: That is part of the reason why, just one of 459 00:24:08,000 --> 00:24:10,399 Speaker 11: the reasons why I don't think these ransom notes are 460 00:24:11,200 --> 00:24:14,200 Speaker 11: legits something. 461 00:24:14,320 --> 00:24:16,720 Speaker 3: Something seems off. I think something certainly seems off. 462 00:24:16,920 --> 00:24:20,760 Speaker 1: Sure, we talked before, you know, about the lack of 463 00:24:20,840 --> 00:24:26,520 Speaker 1: coordination between the the PMA County Sheriff's office and federal investigators. 464 00:24:26,920 --> 00:24:31,439 Speaker 1: Now that the federal side has been fully deployed, fully activated, 465 00:24:31,760 --> 00:24:34,720 Speaker 1: we're getting breakthroughs, We're getting traction. They were able to 466 00:24:34,800 --> 00:24:37,960 Speaker 1: uncover this, this footage that the original sheriff said didn't 467 00:24:37,960 --> 00:24:38,880 Speaker 1: even exist. 468 00:24:39,600 --> 00:24:40,639 Speaker 3: What are we to make of this? 469 00:24:40,720 --> 00:24:43,119 Speaker 1: I mean, it goes right in line with everything that 470 00:24:43,160 --> 00:24:47,320 Speaker 1: President Trump has been saying about coordination with ICE Border Patrol, 471 00:24:47,359 --> 00:24:50,479 Speaker 1: as you pointed out, which operates in this very area 472 00:24:50,920 --> 00:24:51,920 Speaker 1: every single day. 473 00:24:53,240 --> 00:24:55,000 Speaker 3: What are we to make of this lack of coordination 474 00:24:55,119 --> 00:24:55,560 Speaker 3: early on? 475 00:24:56,840 --> 00:24:59,000 Speaker 10: You know, in law enforcement, one of the big things 476 00:24:59,080 --> 00:25:01,040 Speaker 10: is you cannot let get in the way. 477 00:25:01,359 --> 00:25:04,000 Speaker 11: You've got a job to do. You've got victims, you've 478 00:25:04,000 --> 00:25:06,439 Speaker 11: got suspects you have to find, and you should be 479 00:25:06,440 --> 00:25:09,080 Speaker 11: willing to use any resource and that in this case. 480 00:25:09,160 --> 00:25:13,199 Speaker 11: The FBI they're great at kidnapping cases. They deal with 481 00:25:13,240 --> 00:25:13,840 Speaker 11: these a lot. 482 00:25:13,920 --> 00:25:16,600 Speaker 10: They have a tremendous amount of resources as I always 483 00:25:17,160 --> 00:25:20,400 Speaker 10: as I already mentioned, and they can bring the full weight, 484 00:25:20,480 --> 00:25:23,119 Speaker 10: especially when President Trump is saying you got all of 485 00:25:23,119 --> 00:25:25,840 Speaker 10: our resources. They can bring a lot of people in 486 00:25:25,880 --> 00:25:26,480 Speaker 10: from a lot of. 487 00:25:26,440 --> 00:25:29,720 Speaker 11: Different states to helping an investigation like this to help 488 00:25:29,800 --> 00:25:30,520 Speaker 11: crack something. 489 00:25:30,760 --> 00:25:31,720 Speaker 10: Now, the challenge you. 490 00:25:31,760 --> 00:25:35,159 Speaker 11: Face is we're not on the same radio systems. You know, 491 00:25:35,240 --> 00:25:38,880 Speaker 11: you do have these piss and matches in between these agencies. 492 00:25:38,920 --> 00:25:41,000 Speaker 11: I'm not saying this is going on right now, but 493 00:25:41,119 --> 00:25:43,399 Speaker 11: it is inevitable that you're going to see some of that, 494 00:25:43,560 --> 00:25:46,080 Speaker 11: some of this territorial issues. 495 00:25:46,320 --> 00:25:49,399 Speaker 10: Hopefully that's not the case, but it is natural to 496 00:25:49,440 --> 00:25:50,800 Speaker 10: have that, and then. 497 00:25:50,720 --> 00:25:54,800 Speaker 11: That creates some confusion, some lack of communication. 498 00:25:55,320 --> 00:25:57,000 Speaker 10: Maybe you move too fast. 499 00:25:56,720 --> 00:25:58,880 Speaker 11: On one thing when we wanted to hold a little 500 00:25:58,880 --> 00:26:01,880 Speaker 11: bit longer. So this is all going to be challenges 501 00:26:01,920 --> 00:26:03,840 Speaker 11: that they're going to have to overcome, both from the 502 00:26:03,840 --> 00:26:07,360 Speaker 11: federal the FBI, SID and of course sheriff's office side. 503 00:26:07,680 --> 00:26:09,840 Speaker 1: Right, And of course it comes down to you know, 504 00:26:09,880 --> 00:26:12,119 Speaker 1: do you want to do the right thing or do 505 00:26:12,160 --> 00:26:13,840 Speaker 1: you want to get credit? Do you want to you're 506 00:26:13,880 --> 00:26:16,720 Speaker 1: worried about media headlines all the rest of it. To 507 00:26:16,800 --> 00:26:18,680 Speaker 1: your point, which may lead to people want to jump 508 00:26:18,680 --> 00:26:22,359 Speaker 1: the gun before something is fully fleshed out. Chreff Mark Lamb. 509 00:26:22,359 --> 00:26:24,600 Speaker 1: That's all the time we have today for this Where 510 00:26:24,600 --> 00:26:26,760 Speaker 1: can people go to follow you, to get involved with 511 00:26:26,760 --> 00:26:29,880 Speaker 1: the campaign. And I strongly urge people to support Sheriff Lamb. 512 00:26:29,920 --> 00:26:32,280 Speaker 1: Just what a tremendous leader at a time such as this. 513 00:26:33,200 --> 00:26:34,720 Speaker 10: Well, Jack, I appreciate the kind words. 514 00:26:34,720 --> 00:26:36,240 Speaker 11: If you want to support me, go to Mark Lamb 515 00:26:36,280 --> 00:26:38,840 Speaker 11: dot us, Mark Lamb dot Us, I would love to 516 00:26:38,840 --> 00:26:39,639 Speaker 11: have your support. 517 00:26:41,119 --> 00:26:44,760 Speaker 1: All right, folks, Sheriff Mark Lamb, go give him a follow. 518 00:26:45,359 --> 00:26:47,879 Speaker 1: He's got the answers. He knows this area like the 519 00:26:47,960 --> 00:26:50,320 Speaker 1: back of his hand. That's the kind of guy you 520 00:26:50,320 --> 00:26:52,560 Speaker 1: want to put your support behind. That's the kind of 521 00:26:52,600 --> 00:26:55,600 Speaker 1: guy that you want fighting for you in the United 522 00:26:55,680 --> 00:26:58,720 Speaker 1: States Congress or really just anywhere. Because he gets on 523 00:26:59,000 --> 00:27:01,320 Speaker 1: the line, I'll be right back to That's Daily Jack. 524 00:27:02,840 --> 00:27:03,680 Speaker 3: Where's Jack? 525 00:27:05,160 --> 00:27:05,680 Speaker 8: Where is he? 526 00:27:06,400 --> 00:27:06,640 Speaker 9: Jack? 527 00:27:06,720 --> 00:27:07,560 Speaker 11: I want to see you. 528 00:27:10,000 --> 00:27:11,880 Speaker 10: Great job, Jack, Thank. 529 00:27:11,680 --> 00:27:13,000 Speaker 3: You, what a job you do. 530 00:27:13,480 --> 00:27:16,040 Speaker 10: You know, we have an incredible thing. We're always talking about. 531 00:27:15,800 --> 00:27:18,480 Speaker 11: The fake news and the band, but we have guys 532 00:27:18,680 --> 00:27:20,880 Speaker 11: and these are the guys for forgetting pullasushki. 533 00:27:22,680 --> 00:27:26,639 Speaker 1: All right, folks, Jack Posobc back here, Human Events Daily, 534 00:27:27,000 --> 00:27:30,160 Speaker 1: Real America's voice for back of the Lab. Back at headquarters, 535 00:27:30,240 --> 00:27:34,480 Speaker 1: here human events. Folks, I can tell you something. You 536 00:27:34,560 --> 00:27:37,240 Speaker 1: got to pay attention to. What is happening with the dollar, 537 00:27:37,359 --> 00:27:40,440 Speaker 1: debt and central banks. It's all piling up and when 538 00:27:40,480 --> 00:27:43,359 Speaker 1: things get rocky. Gold has always been the safe haven. 539 00:27:43,440 --> 00:27:45,840 Speaker 1: But now gold it's not just a defensive it's an 540 00:27:45,920 --> 00:27:48,840 Speaker 1: offensive asset. That's why I've been working with my partners 541 00:27:48,880 --> 00:27:52,000 Speaker 1: at Allegiance Gold for the past three years to help 542 00:27:52,040 --> 00:27:54,919 Speaker 1: you protect your savings and your retirement with real physical 543 00:27:54,960 --> 00:27:57,119 Speaker 1: gold and silver, not paper promises. 544 00:27:57,400 --> 00:27:59,920 Speaker 3: And now Allegiance Gold is making it even better. 545 00:28:00,240 --> 00:28:03,560 Speaker 1: They'll donate one percent of qualified investments from my audience 546 00:28:03,600 --> 00:28:07,160 Speaker 1: to Turning Point USA or another Great America First organization, 547 00:28:07,560 --> 00:28:10,440 Speaker 1: in addition to the one percent you already qualify for, 548 00:28:10,600 --> 00:28:12,560 Speaker 1: so you could protect your wealth and support the movement 549 00:28:12,600 --> 00:28:14,960 Speaker 1: at the same time. If you've been waiting for a sign, 550 00:28:15,160 --> 00:28:17,439 Speaker 1: this is it. Don't overthink it, don't wait until it's 551 00:28:17,480 --> 00:28:19,639 Speaker 1: too late. See what's going on with gold today at 552 00:28:19,680 --> 00:28:22,600 Speaker 1: eight four four, five, seven, seven, seventy six, seventy six, 553 00:28:22,960 --> 00:28:27,320 Speaker 1: or visit protectiposto dot com. Remember protect withposso dot com, 554 00:28:27,440 --> 00:28:31,680 Speaker 1: Protect your future and stand with me fighting for America. Well, 555 00:28:31,760 --> 00:28:36,320 Speaker 1: we're very excited now because this account and this report 556 00:28:36,400 --> 00:28:40,760 Speaker 1: that's just come out about jobs in the United States 557 00:28:41,280 --> 00:28:45,719 Speaker 1: is blowing up, and the media is of course call 558 00:28:45,760 --> 00:28:50,640 Speaker 1: it completely surprised, shocked, et cetera, et cetera. Government payrolls 559 00:28:50,720 --> 00:28:54,800 Speaker 1: down by another forty two thousand jobs in January, a 560 00:28:54,920 --> 00:28:58,880 Speaker 1: total decline of ten percent since October twenty twenty four. 561 00:28:59,000 --> 00:29:01,520 Speaker 3: That was its peak on or under Biden. 562 00:29:01,600 --> 00:29:05,000 Speaker 1: In the auto pen manufacturing sector, which was expected to 563 00:29:05,240 --> 00:29:09,640 Speaker 1: lose five thousand jobs, actually increased by five thousand jobs 564 00:29:09,720 --> 00:29:13,400 Speaker 1: in just January, So that's a ten thousand job delta. 565 00:29:13,720 --> 00:29:18,000 Speaker 1: Actual jobs that are being added, thousands upon thousands, healthcare 566 00:29:18,120 --> 00:29:23,040 Speaker 1: companies adding eighty two thousand jobs, construction firms, which means 567 00:29:23,080 --> 00:29:26,520 Speaker 1: what home building, adding thirty three thousand jobs. And by 568 00:29:26,560 --> 00:29:29,120 Speaker 1: the way, not too much construction going on huge parts 569 00:29:29,160 --> 00:29:32,600 Speaker 1: of the country in January when it's the middle of winter, 570 00:29:32,880 --> 00:29:35,760 Speaker 1: so that isn't even with the entire country under the 571 00:29:36,600 --> 00:29:40,160 Speaker 1: you know, in construction season. And the financial sector did 572 00:29:40,480 --> 00:29:44,640 Speaker 1: shed twenty two thousand jobs, so it's a little bit off. 573 00:29:44,520 --> 00:29:47,040 Speaker 3: Its recent peak in May. But you know what we're getting. 574 00:29:47,080 --> 00:29:49,160 Speaker 1: We're talking about jobs for main street here, and that's 575 00:29:49,280 --> 00:29:51,040 Speaker 1: so you know, Okay, Wall Street, you know, what are 576 00:29:51,040 --> 00:29:51,480 Speaker 1: you going to do? 577 00:29:51,760 --> 00:29:52,360 Speaker 3: What are you going to do? 578 00:29:52,440 --> 00:29:55,160 Speaker 1: What President Trump has always said is this is about 579 00:29:55,320 --> 00:29:59,360 Speaker 1: Main Street, and an individual who's been telling us about 580 00:29:59,360 --> 00:30:02,760 Speaker 1: that from the start is the Department of Treasury Senior 581 00:30:02,840 --> 00:30:04,360 Speaker 1: Counselor Joe Lavernia. 582 00:30:04,480 --> 00:30:06,719 Speaker 3: Joe joins us yet again here in Human Events. How 583 00:30:06,760 --> 00:30:07,000 Speaker 3: are you. 584 00:30:08,800 --> 00:30:09,400 Speaker 10: Good, Jack? 585 00:30:09,440 --> 00:30:10,120 Speaker 12: Thanks for having me. 586 00:30:11,360 --> 00:30:12,920 Speaker 3: Well, I'm happy to look. 587 00:30:13,120 --> 00:30:16,120 Speaker 1: You know, you were on here many times throughout the 588 00:30:16,160 --> 00:30:19,640 Speaker 1: past year telling us that you just wait, just wait, 589 00:30:19,840 --> 00:30:21,400 Speaker 1: the tariff policies. 590 00:30:21,000 --> 00:30:22,800 Speaker 3: Are going to come in. We're going to see this 591 00:30:22,960 --> 00:30:23,560 Speaker 3: job's boom. 592 00:30:23,600 --> 00:30:26,600 Speaker 1: We're going to and the targeted sectors that you always 593 00:30:26,680 --> 00:30:32,200 Speaker 1: told us about, specifically, we're home building and manufacturing, and 594 00:30:32,400 --> 00:30:36,840 Speaker 1: those are seeing two absolute booms. Why is it that 595 00:30:36,960 --> 00:30:39,719 Speaker 1: the media didn't see this coming when you were right 596 00:30:39,760 --> 00:30:42,479 Speaker 1: here in Human Events talking about it every single day. 597 00:30:43,760 --> 00:30:44,000 Speaker 12: Jack. 598 00:30:44,040 --> 00:30:47,280 Speaker 13: First of all, let me say that President Trump, instinctively, 599 00:30:47,440 --> 00:30:50,800 Speaker 13: with his business background, really was at the forefront of 600 00:30:50,960 --> 00:30:53,440 Speaker 13: what he expects to be a major turn in the economy. 601 00:30:54,160 --> 00:30:57,000 Speaker 12: And that's what we've seen. It's not just the January datey. 602 00:30:57,040 --> 00:30:59,880 Speaker 13: It's some upward revisions to the prior months and let's 603 00:31:00,080 --> 00:31:02,360 Speaker 13: like the trend is higher, especially on the private side, 604 00:31:02,400 --> 00:31:06,840 Speaker 13: because we've kind of right sizing the government. Many people 605 00:31:07,000 --> 00:31:11,800 Speaker 13: missed it, Jack, not just sort of the mainstream media. 606 00:31:12,000 --> 00:31:14,240 Speaker 13: I'd seen something this morning like seventy eight out of 607 00:31:14,280 --> 00:31:18,760 Speaker 13: eighty economists missed the forecast. But the reason to be 608 00:31:18,880 --> 00:31:21,120 Speaker 13: upbeat Jack, as you know, is the president prevented the 609 00:31:21,240 --> 00:31:24,560 Speaker 13: largest tax hike in history from occurring in twenty twenty six. 610 00:31:25,080 --> 00:31:27,840 Speaker 13: He solidified those gains, those hard fought gains in twenty 611 00:31:28,360 --> 00:31:32,040 Speaker 13: that we're from twenty seventeen. We had additional things, Jack, 612 00:31:32,200 --> 00:31:35,560 Speaker 13: like the full expensing of capital expenditures now the full 613 00:31:35,600 --> 00:31:36,840 Speaker 13: expensing of structures. 614 00:31:36,920 --> 00:31:39,680 Speaker 12: So when we see stronger construction jobs. 615 00:31:39,600 --> 00:31:42,520 Speaker 13: What we think after a decline, that sharp decline, that 616 00:31:42,560 --> 00:31:46,040 Speaker 13: beginner of the prior administration, I'm manufacturing which is now turning. 617 00:31:46,720 --> 00:31:50,200 Speaker 13: The tax policies and the growth policies are designed to 618 00:31:50,360 --> 00:31:52,840 Speaker 13: work where we're now starting to see the early signs 619 00:31:53,240 --> 00:31:56,880 Speaker 13: of this major recovery, which then makes us very optimistic 620 00:31:57,000 --> 00:31:57,680 Speaker 13: on the outlook. 621 00:31:57,720 --> 00:31:58,920 Speaker 12: So he has a very good report. 622 00:32:00,000 --> 00:32:01,960 Speaker 13: No one really could spend it, otherwise they could just 623 00:32:02,040 --> 00:32:04,880 Speaker 13: choose to ignore it. And there's very good income growth 624 00:32:05,040 --> 00:32:07,680 Speaker 13: implied from this report. In other words, take Hompei should 625 00:32:07,680 --> 00:32:11,440 Speaker 13: start to rise much more significantly, obviously opposite of what 626 00:32:11,560 --> 00:32:13,000 Speaker 13: had happened in the prior administration. 627 00:32:15,200 --> 00:32:19,560 Speaker 1: And when we talk about this, it's really a situation 628 00:32:19,640 --> 00:32:23,560 Speaker 1: where there's so many economists that were just running around saying, Oh, 629 00:32:23,600 --> 00:32:26,280 Speaker 1: it's this is never going to work, it's not possible. 630 00:32:26,400 --> 00:32:28,880 Speaker 1: Tariff's are going to But what they missed, and I 631 00:32:28,920 --> 00:32:31,280 Speaker 1: think what so many of them missed, and what President 632 00:32:31,360 --> 00:32:34,400 Speaker 1: Trump understood. Secretary Besson of course backed them on this 633 00:32:34,600 --> 00:32:37,480 Speaker 1: and put it in place, was that the tariff policies 634 00:32:37,920 --> 00:32:41,480 Speaker 1: were always going to be predicated on this idea. 635 00:32:41,280 --> 00:32:43,840 Speaker 3: Of the United States as a premium. 636 00:32:43,800 --> 00:32:48,040 Speaker 1: Market, that all of those suppliers would in fact bear 637 00:32:48,160 --> 00:32:50,680 Speaker 1: the cost and bear the burden of this because they 638 00:32:50,800 --> 00:32:53,440 Speaker 1: want access to the US market writ large. 639 00:32:53,760 --> 00:32:55,720 Speaker 3: And that's what we're seeing across the board, isn't it. 640 00:32:56,240 --> 00:32:57,280 Speaker 3: That's exactly right. 641 00:32:57,760 --> 00:33:00,440 Speaker 13: You need that people need to think a holistic above 642 00:33:00,480 --> 00:33:06,560 Speaker 13: President Trump's policies, where you have deregulation, prudent business, deregulation 643 00:33:06,720 --> 00:33:10,560 Speaker 13: that removes burdenso regulations on companies that don't allow them 644 00:33:10,600 --> 00:33:13,600 Speaker 13: to expand and of course hire people that gets married 645 00:33:13,680 --> 00:33:16,280 Speaker 13: with cheap and abundant energy, because if you're going to 646 00:33:16,320 --> 00:33:19,680 Speaker 13: build and produce items, goods, things that people want, you 647 00:33:19,760 --> 00:33:21,600 Speaker 13: got to have low energy costs. You have to have 648 00:33:21,720 --> 00:33:25,600 Speaker 13: low taxes, which the one big beautiful bill solidified, then 649 00:33:25,640 --> 00:33:27,920 Speaker 13: the incentives that are in those taxes, and then a 650 00:33:28,000 --> 00:33:31,000 Speaker 13: further incentive for terrafts other words, a few tariff countries 651 00:33:32,000 --> 00:33:34,920 Speaker 13: that's going to encourage them to bring capital in. And 652 00:33:35,040 --> 00:33:38,280 Speaker 13: they're further incentivized by all those factors I just mentioned. 653 00:33:38,360 --> 00:33:42,560 Speaker 13: So everything works together in unison. The President instinctively understands that, 654 00:33:43,080 --> 00:33:45,800 Speaker 13: and that's why we've had record amounts of capital commitments 655 00:33:45,840 --> 00:33:49,440 Speaker 13: coming in from foreign countries, coming in from foreign businesses, 656 00:33:49,960 --> 00:33:51,680 Speaker 13: and this is why we believe we're at the start 657 00:33:51,720 --> 00:33:55,520 Speaker 13: of a real industrial manufacturing boom renaissance. 658 00:33:58,360 --> 00:34:00,760 Speaker 1: And it's incredible to see. I'm just Nicdotally. I was 659 00:34:00,800 --> 00:34:03,480 Speaker 1: reading Twitter yesterday and I saw, you know this, this 660 00:34:03,600 --> 00:34:06,120 Speaker 1: guy putting out that you know, he had family members 661 00:34:06,120 --> 00:34:09,120 Speaker 1: that worked in the manufacturing industry in Ohio and they 662 00:34:09,160 --> 00:34:12,720 Speaker 1: said that they were having to turn down work because 663 00:34:12,840 --> 00:34:16,719 Speaker 1: they were their plate was absolutely filled with different projects 664 00:34:16,760 --> 00:34:18,759 Speaker 1: that they wanted to put in and they said, look, 665 00:34:18,800 --> 00:34:22,200 Speaker 1: we're usually getting beaten left and right by the Chinese, 666 00:34:22,320 --> 00:34:25,720 Speaker 1: and yet here we are, we can't even fill our orders. 667 00:34:26,280 --> 00:34:28,000 Speaker 1: We've hired to the hilt and we have you know 668 00:34:28,080 --> 00:34:30,400 Speaker 1: there possibly may even have to look at expanding just 669 00:34:30,440 --> 00:34:32,879 Speaker 1: because the amount of demand is there. 670 00:34:32,960 --> 00:34:35,040 Speaker 3: And that's that's really what this is about, isn't it. 671 00:34:35,239 --> 00:34:40,200 Speaker 1: It's allowing American firms to actually be able to compete 672 00:34:40,480 --> 00:34:42,520 Speaker 1: with what the foreign companies are doing, and when they're 673 00:34:42,520 --> 00:34:45,440 Speaker 1: able to do so, people will typically choose American. 674 00:34:46,440 --> 00:34:48,840 Speaker 13: No, that's correct, and that's why you know, when you 675 00:34:48,920 --> 00:34:52,080 Speaker 13: look at the last two official quarters, real GDP has 676 00:34:52,120 --> 00:34:54,439 Speaker 13: grown four percent. If you take the government out, which 677 00:34:54,480 --> 00:34:57,760 Speaker 13: has actually been declining, growth is even stronger, as closer 678 00:34:57,800 --> 00:34:58,520 Speaker 13: to five percent. 679 00:34:59,040 --> 00:35:00,000 Speaker 12: It looks like a quarantine. 680 00:35:00,000 --> 00:35:02,880 Speaker 13: The land of fed growth was around four percent or 681 00:35:02,920 --> 00:35:05,800 Speaker 13: close to four percent in the fourth quarter. And typically 682 00:35:05,800 --> 00:35:08,359 Speaker 13: we have those very strong GDP numbers. You will get 683 00:35:08,400 --> 00:35:11,280 Speaker 13: the hiring, the fact that the president secured the border, 684 00:35:11,560 --> 00:35:14,759 Speaker 13: You've eliminated a lot of illegal immigration. That will put 685 00:35:14,840 --> 00:35:17,759 Speaker 13: downward pressure on rents and housing costs, and as you're 686 00:35:17,760 --> 00:35:20,680 Speaker 13: alluding to with your innecdote, very interesting anecdote from Ohio 687 00:35:21,040 --> 00:35:23,200 Speaker 13: that ultimately will push up worker wages because you're going 688 00:35:23,239 --> 00:35:24,840 Speaker 13: to tighten the labor market. And as you tighten the 689 00:35:24,920 --> 00:35:28,320 Speaker 13: labor market, those companies also will likely invest in training 690 00:35:28,360 --> 00:35:31,160 Speaker 13: those workers. So it really does, as the President say, 691 00:35:31,239 --> 00:35:32,920 Speaker 13: become an America First policy. 692 00:35:33,360 --> 00:35:34,360 Speaker 12: It all fits together. 693 00:35:34,960 --> 00:35:38,480 Speaker 13: And this improvement we've certainly seen in the last month 694 00:35:38,520 --> 00:35:41,880 Speaker 13: with the employment data should be expected to continue and 695 00:35:41,960 --> 00:35:44,920 Speaker 13: strengthen during the course of this year. Now that legislation 696 00:35:45,360 --> 00:35:47,919 Speaker 13: that the President passed last year is complete and Jack 697 00:35:48,160 --> 00:35:50,200 Speaker 13: it needed to be done early in July. 698 00:35:50,400 --> 00:35:55,799 Speaker 12: To the President Trump want and Secretary Best that worked 699 00:35:55,840 --> 00:35:57,839 Speaker 12: hard on getting Well. 700 00:35:58,040 --> 00:35:58,680 Speaker 3: That's incredible. 701 00:35:58,760 --> 00:36:01,239 Speaker 1: And you know, as with Best, and he talked about 702 00:36:01,280 --> 00:36:03,400 Speaker 1: this back in Davos a couple of weeks ago, and 703 00:36:03,480 --> 00:36:05,359 Speaker 1: he told us that this was right around the cost. 704 00:36:05,360 --> 00:36:07,120 Speaker 1: But I think I think he may have been looking 705 00:36:07,160 --> 00:36:08,800 Speaker 1: at some of the data seeing as some of this 706 00:36:08,920 --> 00:36:10,920 Speaker 1: as the jobs are actually so. 707 00:36:11,719 --> 00:36:13,080 Speaker 12: Yeah, no, actually no, he just does. 708 00:36:13,520 --> 00:36:13,560 Speaker 9: No. 709 00:36:13,760 --> 00:36:15,360 Speaker 13: I mean, well, we look at the data, but it 710 00:36:15,440 --> 00:36:17,960 Speaker 13: wasn't like he he you know, he's obviously a very 711 00:36:18,680 --> 00:36:23,320 Speaker 13: famous investor, and being a good investor means anticipating the future, 712 00:36:23,400 --> 00:36:25,520 Speaker 13: and he's had made a great career in doing that. 713 00:36:25,880 --> 00:36:26,880 Speaker 12: But you know, the policies. 714 00:36:26,920 --> 00:36:30,160 Speaker 13: You know, look these supply side pro growth policies, shack. 715 00:36:30,239 --> 00:36:31,520 Speaker 13: As you know, we're very well. 716 00:36:31,440 --> 00:36:32,680 Speaker 3: In the first Trump administration. 717 00:36:33,120 --> 00:36:34,800 Speaker 13: So we took all the best things that were in 718 00:36:34,840 --> 00:36:38,200 Speaker 13: the first administration, and then the President, with the Secretary's 719 00:36:38,200 --> 00:36:41,560 Speaker 13: help and many others, helped push this through and added 720 00:36:41,560 --> 00:36:45,200 Speaker 13: additional benefits. For example, the expensing for factories. A company 721 00:36:45,480 --> 00:36:48,480 Speaker 13: can now deduct full expensing for a factory that never 722 00:36:48,600 --> 00:36:49,040 Speaker 13: happened for. 723 00:36:49,400 --> 00:36:51,320 Speaker 12: That will encourage the building and the boom. 724 00:36:51,440 --> 00:36:54,920 Speaker 13: And hardworking Americans getting a no tax on tips, no 725 00:36:55,120 --> 00:36:58,000 Speaker 13: tax on overtime. That will increase labor supply. That will 726 00:36:58,080 --> 00:37:00,480 Speaker 13: encourage more people to stay in the workforce, to work 727 00:37:00,560 --> 00:37:03,960 Speaker 13: longer hours. They make more pay, their living standards rise, 728 00:37:04,280 --> 00:37:08,000 Speaker 13: they produce more, and that causes a disinflationary boom. Growth 729 00:37:08,040 --> 00:37:11,200 Speaker 13: doesn't cause inflation, it actually helps push inflation down. 730 00:37:13,040 --> 00:37:13,200 Speaker 3: Well. 731 00:37:13,280 --> 00:37:15,040 Speaker 1: And just in the last couple of seconds, I just 732 00:37:15,080 --> 00:37:17,480 Speaker 1: realized the clock's getting away from me. The Trump accounts, 733 00:37:17,800 --> 00:37:22,720 Speaker 1: this is a total game changer. They've gone out wildly popular, 734 00:37:22,920 --> 00:37:24,120 Speaker 1: wildly popular for kids. 735 00:37:24,120 --> 00:37:27,919 Speaker 13: Trump accounts dot com form forty five, forty seven, and Jack, 736 00:37:28,000 --> 00:37:31,800 Speaker 13: you're so popular without naming names, even people on the 737 00:37:31,840 --> 00:37:35,200 Speaker 13: other aisle, love it. It's totally bipartisan. We want people 738 00:37:35,280 --> 00:37:37,840 Speaker 13: to understand the powers of compound interest. We want to 739 00:37:37,880 --> 00:37:40,120 Speaker 13: be able to make an investment in young boys and 740 00:37:40,200 --> 00:37:43,719 Speaker 13: girls future, and this is just a wonderful opportunity for 741 00:37:43,840 --> 00:37:46,200 Speaker 13: them to be part of the American system, live the 742 00:37:46,280 --> 00:37:49,400 Speaker 13: American dream, and have financial security when they're adults. 743 00:37:50,160 --> 00:37:52,279 Speaker 1: Yeah, I remember, you know, in my first communion and 744 00:37:52,360 --> 00:37:54,600 Speaker 1: my grandparents get me a savings bond. This is sort 745 00:37:54,600 --> 00:37:58,640 Speaker 1: of the the modern version of that. Joe Lavernia, Secretary 746 00:37:58,760 --> 00:38:00,480 Speaker 1: of the Treasury, Senior Counselor. 747 00:38:02,880 --> 00:38:04,080 Speaker 3: Jack is a great guy. 748 00:38:04,160 --> 00:38:07,040 Speaker 10: He's written a fantastic look and everybody's talking about it. 749 00:38:07,160 --> 00:38:08,279 Speaker 2: Go get it that. 750 00:38:08,440 --> 00:38:10,560 Speaker 10: He's been my friend life from the beginning. 751 00:38:10,280 --> 00:38:13,160 Speaker 11: Of this whole beautiful event, and we're going to turn 752 00:38:13,239 --> 00:38:14,920 Speaker 11: her around to make our country way. 753 00:38:14,800 --> 00:38:22,279 Speaker 1: To get him, Amen, Jack Sowik back Live Human Events Daily. 754 00:38:22,400 --> 00:38:24,680 Speaker 1: Want to get Libby Emmons in here now from the 755 00:38:24,719 --> 00:38:29,000 Speaker 1: post millennial to talk to us about yet another horrific 756 00:38:29,239 --> 00:38:32,960 Speaker 1: example of the epidemic of trans violence. 757 00:38:33,239 --> 00:38:36,799 Speaker 3: Now out of Canada. Libby Emmons joined us. 758 00:38:36,840 --> 00:38:41,960 Speaker 1: Libby, Yes, hello, Jack, I'm here, well, so walk us 759 00:38:42,000 --> 00:38:46,200 Speaker 1: through this the situation who was the individual, what do 760 00:38:46,280 --> 00:38:48,840 Speaker 1: we know about them, and what's the current status in 761 00:38:48,960 --> 00:38:51,000 Speaker 1: terms of the school the victims. 762 00:38:52,320 --> 00:38:56,359 Speaker 2: So yesterday in a very tiny town, very tiny mining town, 763 00:38:56,560 --> 00:39:00,440 Speaker 2: nestled in the foothills of the Canadian Rockies, and individual 764 00:39:00,640 --> 00:39:04,239 Speaker 2: name who has been identified as Jesse Strang went into 765 00:39:04,320 --> 00:39:09,920 Speaker 2: the school killed six people, injured twenty five. Three of 766 00:39:10,000 --> 00:39:12,799 Speaker 2: those were transported in critical condition to a hospital. One 767 00:39:12,840 --> 00:39:16,120 Speaker 2: of them died on the way. It's been reported today 768 00:39:16,360 --> 00:39:18,680 Speaker 2: that and this is just you know on Twitter. This 769 00:39:18,800 --> 00:39:22,960 Speaker 2: hasn't been confirmed by authorities. Canada seems a little slow 770 00:39:23,040 --> 00:39:25,239 Speaker 2: with that. But one of the victims has made it 771 00:39:25,320 --> 00:39:28,360 Speaker 2: out of surgery, a little girl named Maya. The school 772 00:39:28,600 --> 00:39:31,720 Speaker 2: is the tumblr Ridge Secondary School. It's a high school 773 00:39:31,760 --> 00:39:34,960 Speaker 2: in this town. The town has maybe twenty four hundred people. 774 00:39:35,120 --> 00:39:38,640 Speaker 2: It's very small. The school, the secondary school is seventh 775 00:39:38,719 --> 00:39:41,480 Speaker 2: grade through eighth grade, I mean the seventh grade through 776 00:39:42,640 --> 00:39:45,640 Speaker 2: graduation through senior year seven through twelve, and it has 777 00:39:45,680 --> 00:39:48,600 Speaker 2: about one hundred and sixty students. So it's an extremely 778 00:39:48,920 --> 00:39:53,680 Speaker 2: small school and a very small community. Police were called 779 00:39:53,719 --> 00:39:56,680 Speaker 2: to the school I think about one twenty pm local 780 00:39:56,760 --> 00:40:00,720 Speaker 2: time yesterday where they went into the school and cleared 781 00:40:00,760 --> 00:40:04,880 Speaker 2: the school and found also the shooter dead from a 782 00:40:05,040 --> 00:40:08,439 Speaker 2: gunshot wound that was self inflicted. So this is really 783 00:40:08,560 --> 00:40:12,239 Speaker 2: a big tragedy and there have been some complicating factors 784 00:40:12,360 --> 00:40:16,240 Speaker 2: in terms of getting to understand the identity of the shooter, 785 00:40:16,680 --> 00:40:20,080 Speaker 2: and a lot has been done by independent journalists in 786 00:40:20,239 --> 00:40:23,880 Speaker 2: Canada who have gotten that information out because the CBC, 787 00:40:24,120 --> 00:40:27,680 Speaker 2: which is the state run media there, which is very pervasive, 788 00:40:28,160 --> 00:40:32,120 Speaker 2: has been very uneasy about releasing details and has not 789 00:40:32,320 --> 00:40:37,120 Speaker 2: released details. So the victims are not known. However, Amy Ham, 790 00:40:37,480 --> 00:40:42,040 Speaker 2: who is in the province where this happened, spoke about 791 00:40:42,080 --> 00:40:44,920 Speaker 2: it on Twitter and said that she had been in 792 00:40:45,040 --> 00:40:48,520 Speaker 2: previous years in a private Facebook group with the mother. Now, 793 00:40:48,680 --> 00:40:51,880 Speaker 2: Amy Ham is a women's rights activist and she has 794 00:40:51,960 --> 00:40:57,400 Speaker 2: worked really hard to preserve women's only spaces in Canada 795 00:40:57,520 --> 00:40:59,759 Speaker 2: and that has been a losing battle for her, but 796 00:41:00,040 --> 00:41:03,040 Speaker 2: he's been fighting anyway. She said that she was in 797 00:41:03,200 --> 00:41:06,920 Speaker 2: this private face group Facebook group with the mother and 798 00:41:07,040 --> 00:41:07,880 Speaker 2: she believes that the. 799 00:41:07,960 --> 00:41:09,480 Speaker 10: Mother is one of the victims. 800 00:41:09,600 --> 00:41:13,320 Speaker 2: Because two people were also found dead in a residence 801 00:41:13,440 --> 00:41:16,839 Speaker 2: in the town, so they have also not been identified, 802 00:41:16,960 --> 00:41:20,160 Speaker 2: but Amyham has said that she believes that it's the mother. 803 00:41:20,680 --> 00:41:23,880 Speaker 2: So it really does seem like a very similar tragedy 804 00:41:24,040 --> 00:41:28,080 Speaker 2: to the trans shooting tragedies that we see unfolding in 805 00:41:28,200 --> 00:41:31,440 Speaker 2: America as well, where you have a person, an individual 806 00:41:31,520 --> 00:41:35,920 Speaker 2: who in this case was taking SSRIs talked about taking 807 00:41:36,280 --> 00:41:41,719 Speaker 2: zoloft and some other medication that is specifically for autism 808 00:41:42,040 --> 00:41:45,600 Speaker 2: and sleep, you know, insomnia and things like that. So 809 00:41:45,719 --> 00:41:49,000 Speaker 2: you have this individual who had been posting about being 810 00:41:49,160 --> 00:41:53,800 Speaker 2: trans about you know, wanting to take hormone replacement therapy 811 00:41:54,040 --> 00:41:58,040 Speaker 2: as well, which is cross sex hormones. He had changed 812 00:41:58,200 --> 00:42:04,040 Speaker 2: his username from Jesse Boy to Jess Jess u WU. 813 00:42:04,719 --> 00:42:09,320 Speaker 2: And people may remember that OWO was something that was 814 00:42:09,360 --> 00:42:14,239 Speaker 2: scrawled on the engraved on the bullet case things in 815 00:42:14,440 --> 00:42:18,840 Speaker 2: the Charlie Kirk assassination case, and u wu is a 816 00:42:19,040 --> 00:42:23,400 Speaker 2: similar thing to that. It sort of represents anime furrey 817 00:42:24,120 --> 00:42:25,200 Speaker 2: kind of things like that. 818 00:42:25,520 --> 00:42:30,320 Speaker 3: So I mean it's it's I mean, u w u 819 00:42:30,520 --> 00:42:30,640 Speaker 3: is it? 820 00:42:32,200 --> 00:42:34,520 Speaker 1: I would say, I mean obviously originated in anime culture, 821 00:42:34,600 --> 00:42:38,360 Speaker 1: it certainly has transcended that. There's a lot I'm familiar 822 00:42:38,400 --> 00:42:41,520 Speaker 1: with that meme, a lot of people familiar. But but 823 00:42:41,760 --> 00:42:45,760 Speaker 1: you know, now we've seen, as you say, two situations 824 00:42:46,000 --> 00:42:50,520 Speaker 1: where are two crimes where that same phrase has been used? 825 00:42:50,560 --> 00:42:53,760 Speaker 1: By the way, just as a reminder for myself, Amyham, 826 00:42:53,880 --> 00:42:56,279 Speaker 1: she was the registered nurse who lost her job, Is 827 00:42:56,320 --> 00:42:56,600 Speaker 1: that right? 828 00:42:57,320 --> 00:42:57,840 Speaker 10: That's correct? 829 00:42:57,920 --> 00:43:00,839 Speaker 2: Yeah, she lost her job for sticking up for women's rights. 830 00:43:01,960 --> 00:43:03,800 Speaker 3: Yeah, okay, I remember that prosecuted. 831 00:43:03,920 --> 00:43:07,640 Speaker 2: Yeah, she was prosecuted by you interviewed her, right, I 832 00:43:07,800 --> 00:43:08,279 Speaker 2: sure did. 833 00:43:08,600 --> 00:43:08,799 Speaker 10: Yeah. 834 00:43:08,920 --> 00:43:11,120 Speaker 2: I think I think the world of Amy, Otherwise I 835 00:43:11,120 --> 00:43:12,479 Speaker 2: wouldn't cite what she was saying. 836 00:43:12,560 --> 00:43:14,480 Speaker 1: I think that she's very I mean, which just blows 837 00:43:14,520 --> 00:43:17,200 Speaker 1: my mind that such a small world that this came 838 00:43:17,320 --> 00:43:19,120 Speaker 1: up now. But my question is going to be though, 839 00:43:19,480 --> 00:43:22,360 Speaker 1: is the fact that they were in a private chat together, 840 00:43:22,480 --> 00:43:27,000 Speaker 1: private Facebook group together, and has Amy stated whether or 841 00:43:27,040 --> 00:43:30,480 Speaker 1: not that the mother was there because it was a 842 00:43:30,520 --> 00:43:33,640 Speaker 1: group involving trans rites or or you know, fighting to 843 00:43:33,719 --> 00:43:37,080 Speaker 1: protect real spaces from trans rights, this trans community. 844 00:43:37,840 --> 00:43:39,920 Speaker 2: No, she didn't go into detail on that, but she 845 00:43:40,040 --> 00:43:43,680 Speaker 2: did say that this mom was concerned about her son 846 00:43:43,760 --> 00:43:48,200 Speaker 2: who was taking joy and injuring his siblings, who seemed 847 00:43:48,320 --> 00:43:50,879 Speaker 2: a little bit you know, I don't want to put 848 00:43:50,880 --> 00:43:52,839 Speaker 2: words in Amy's mouth here, but seemed a little bit 849 00:43:53,400 --> 00:43:57,439 Speaker 2: psychotic when we think about you know, children who take 850 00:43:57,520 --> 00:44:01,239 Speaker 2: pleasure in injuring others. That's something that certainly is a 851 00:44:01,360 --> 00:44:04,320 Speaker 2: parent's nightmare, and I think that that's what she was 852 00:44:04,360 --> 00:44:07,399 Speaker 2: talking about here. Now, this Facebook chat was a few 853 00:44:07,520 --> 00:44:10,399 Speaker 2: years ago, so the posts that Amy was sharing were 854 00:44:10,480 --> 00:44:14,040 Speaker 2: from you know, several years back. But there have been 855 00:44:14,160 --> 00:44:18,719 Speaker 2: posts since then by this individual that are saying, you know, 856 00:44:18,840 --> 00:44:21,200 Speaker 2: that theyre trands and they're trying to figure out how 857 00:44:21,360 --> 00:44:24,600 Speaker 2: to navigate that. And they came from a family where 858 00:44:24,640 --> 00:44:27,840 Speaker 2: a hunting was part of you know, family life, and 859 00:44:28,000 --> 00:44:29,680 Speaker 2: so there were a lot of guns in the home. 860 00:44:32,280 --> 00:44:35,239 Speaker 3: That's I mean, just absolutely perfect, Libby. 861 00:44:36,120 --> 00:44:40,040 Speaker 1: This is a small mining village that is an extremely 862 00:44:40,680 --> 00:44:45,800 Speaker 1: remote town, as you say, twenty four hundred people, a 863 00:44:45,920 --> 00:44:49,239 Speaker 1: place that I don't think most folks would associate with 864 00:44:49,960 --> 00:44:53,239 Speaker 1: rampant outbreaks of the trans community. 865 00:44:54,200 --> 00:44:56,880 Speaker 3: How is it that a town like that could. 866 00:44:56,760 --> 00:44:59,480 Speaker 1: See something like this that typically you would associate with 867 00:44:59,600 --> 00:45:04,000 Speaker 1: larger urban areas, cities or you know, my gosh, you 868 00:45:04,040 --> 00:45:08,799 Speaker 1: know we're seeing something now where or a Utah has 869 00:45:08,960 --> 00:45:11,400 Speaker 1: a situation like this and other parts of Utah. 870 00:45:11,520 --> 00:45:12,680 Speaker 3: What is going on here? 871 00:45:13,880 --> 00:45:14,080 Speaker 9: Yeah? 872 00:45:14,239 --> 00:45:16,600 Speaker 2: I think that we do see this a lot more 873 00:45:16,800 --> 00:45:20,279 Speaker 2: in rural and small areas for a couple of different reasons. One, 874 00:45:20,640 --> 00:45:23,239 Speaker 2: people are able to connect on these message boards and 875 00:45:23,360 --> 00:45:27,120 Speaker 2: chatboards online. They're able to talk about what they're feeling 876 00:45:27,280 --> 00:45:30,279 Speaker 2: and then essentially be groomed by others who say, oh, 877 00:45:30,400 --> 00:45:33,120 Speaker 2: you must be trans or you must have this very 878 00:45:33,160 --> 00:45:36,919 Speaker 2: specific kind of neurodivergence, and various other things. So people 879 00:45:37,080 --> 00:45:40,040 Speaker 2: are able to connect in that way and end up, 880 00:45:40,320 --> 00:45:44,320 Speaker 2: you know, hearing about these things through online communities. We 881 00:45:44,400 --> 00:45:46,440 Speaker 2: also have a situation where if you're living in an 882 00:45:46,560 --> 00:45:49,920 Speaker 2: urban environment, perhaps if you're in a much bigger city 883 00:45:50,360 --> 00:45:52,600 Speaker 2: and you have these weird feelings, there's probably a lot 884 00:45:52,680 --> 00:45:55,160 Speaker 2: more people who have weird feelings like you. Hence all 885 00:45:55,200 --> 00:45:58,080 Speaker 2: the weird drama kids that you find in various cities, 886 00:45:58,200 --> 00:46:00,480 Speaker 2: you know, But in a very small town it might 887 00:46:00,560 --> 00:46:04,359 Speaker 2: be harder to find people of a similar wavelength. I'm 888 00:46:04,440 --> 00:46:09,080 Speaker 2: just guessing here. But also you have a situation where 889 00:46:09,280 --> 00:46:12,759 Speaker 2: you have the coastal elites, you have the coastal leftists 890 00:46:13,200 --> 00:46:16,359 Speaker 2: acting like the entirety of flyover country and certainly most 891 00:46:16,400 --> 00:46:19,600 Speaker 2: people fly over the Canadian rockies and don't stop. You 892 00:46:19,680 --> 00:46:21,480 Speaker 2: have a lot of people who think, oh, the middle 893 00:46:21,520 --> 00:46:24,400 Speaker 2: of the country here, the people out in this Rural 894 00:46:24,480 --> 00:46:28,719 Speaker 2: areas are very backwards, but they've been inundated with all 895 00:46:28,800 --> 00:46:31,680 Speaker 2: of this messaging, just like everybody else has. There's no 896 00:46:32,280 --> 00:46:36,279 Speaker 2: real difference anymore. And the flattening of our culture through 897 00:46:36,480 --> 00:46:39,600 Speaker 2: online media has really made a huge difference where this 898 00:46:39,800 --> 00:46:43,120 Speaker 2: kind of stuff is accessible to everyone, so there's no 899 00:46:43,760 --> 00:46:47,120 Speaker 2: respite from it. Parents in rural areas need to know 900 00:46:47,320 --> 00:46:50,359 Speaker 2: that their kids are able to access this same kind 901 00:46:50,600 --> 00:46:55,240 Speaker 2: of really poisonous, dangerous rhetoric and these kinds of ideas 902 00:46:55,680 --> 00:46:57,600 Speaker 2: as they would be able to if they were in 903 00:46:58,160 --> 00:47:01,400 Speaker 2: a larger urban area. It's us out there, and you 904 00:47:01,560 --> 00:47:03,840 Speaker 2: have to you have to pay a lot more attention 905 00:47:03,960 --> 00:47:06,480 Speaker 2: to it. It's on phones, it's on computers, and it 906 00:47:06,600 --> 00:47:10,800 Speaker 2: seems like Jesse Strang was very active in some of 907 00:47:10,920 --> 00:47:14,320 Speaker 2: these communities and had posts and a YouTube channel and 908 00:47:14,480 --> 00:47:16,960 Speaker 2: all the rest of it. So these are things that 909 00:47:17,200 --> 00:47:19,440 Speaker 2: you have to watch out for. But it's not different 910 00:47:19,760 --> 00:47:22,359 Speaker 2: than it is in urban areas, except the only real 911 00:47:22,400 --> 00:47:25,399 Speaker 2: difference would be that there are more people in urban 912 00:47:25,440 --> 00:47:27,719 Speaker 2: areas that perhaps you can relate to than there are 913 00:47:28,360 --> 00:47:31,480 Speaker 2: in a town where there's one hundred and sixty kids 914 00:47:31,600 --> 00:47:32,719 Speaker 2: between seventh and right. 915 00:47:32,880 --> 00:47:35,520 Speaker 1: And then and then but it's it's the ideology, it's 916 00:47:35,600 --> 00:47:38,439 Speaker 1: the it's the Internet, and that's where this is taking place. 917 00:47:38,520 --> 00:47:41,000 Speaker 1: Livy Emmons, thank you so much. She's joining us here 918 00:47:41,080 --> 00:47:43,279 Speaker 1: from the Post Millennial as well as the. 919 00:47:43,400 --> 00:47:44,440 Speaker 3: Editor of Human Events. 920 00:47:44,760 --> 00:47:47,520 Speaker 1: All right, folks, I will be on timcast I are 921 00:47:47,880 --> 00:47:50,480 Speaker 1: l tonight, so please go and check that out. 922 00:47:50,600 --> 00:47:52,360 Speaker 3: Ladies and gentlemen, as always, you have my permission to 923 00:47:52,440 --> 00:47:52,680 Speaker 3: lash