1 00:00:01,800 --> 00:00:05,360 Speaker 1: This is the primal scream of a dying regime. 2 00:00:06,680 --> 00:00:09,920 Speaker 2: Pray for our enemies because we're going to medieval on 3 00:00:09,960 --> 00:00:10,480 Speaker 2: these people. 4 00:00:11,680 --> 00:00:12,959 Speaker 3: There's not got a free shot. 5 00:00:12,960 --> 00:00:16,400 Speaker 4: And all these networks lying about the people, the people 6 00:00:16,400 --> 00:00:16,799 Speaker 4: have had. 7 00:00:16,720 --> 00:00:17,520 Speaker 2: A belly full of it. 8 00:00:17,960 --> 00:00:19,000 Speaker 3: I know you don't like hearing that. 9 00:00:19,360 --> 00:00:20,639 Speaker 5: I know you try to do everything. 10 00:00:20,360 --> 00:00:21,520 Speaker 4: In the world to stop that, but you're not going 11 00:00:21,600 --> 00:00:22,080 Speaker 4: to stop it. 12 00:00:22,079 --> 00:00:23,160 Speaker 3: It's going to happen. 13 00:00:23,280 --> 00:00:25,479 Speaker 5: And where do people like that go to share the 14 00:00:25,520 --> 00:00:26,240 Speaker 5: big line? 15 00:00:26,760 --> 00:00:28,040 Speaker 1: Mega media? 16 00:00:28,160 --> 00:00:31,240 Speaker 6: I wish in my soul, I wish that any of 17 00:00:31,280 --> 00:00:32,880 Speaker 6: these people had a conscience. 18 00:00:33,560 --> 00:00:36,720 Speaker 7: Ask yourself, what is my task and what is my purpose? 19 00:00:37,360 --> 00:00:41,560 Speaker 1: If that answer is to save my country, this country 20 00:00:41,840 --> 00:00:43,519 Speaker 1: will be saved. 21 00:00:43,600 --> 00:00:46,320 Speaker 3: War Room. Here's your host, Stephen K. 22 00:00:46,560 --> 00:00:54,880 Speaker 1: Bath All right back in the War Room, Dave Bratt 23 00:00:54,920 --> 00:00:57,040 Speaker 1: sitting in with Great Stephen K. Bann and we're gonna 24 00:00:57,040 --> 00:00:59,480 Speaker 1: give a shout out to our friends at home. Title 25 00:00:59,560 --> 00:01:03,560 Speaker 1: lock right now. You're following the breaking news. We do 26 00:01:03,600 --> 00:01:06,400 Speaker 1: the economics every day on the War Room. Unfortunately, many 27 00:01:06,400 --> 00:01:11,240 Speaker 1: Americans don't have any retirement account. Young Americans are having 28 00:01:11,240 --> 00:01:14,160 Speaker 1: a hard time buying a home. If you own a home, 29 00:01:14,200 --> 00:01:17,200 Speaker 1: that is your anchor, right that is your rock and 30 00:01:17,240 --> 00:01:20,520 Speaker 1: your stability, and you do not want to be messing 31 00:01:20,520 --> 00:01:23,680 Speaker 1: around with the idea that someone else could be stealing 32 00:01:23,720 --> 00:01:27,080 Speaker 1: the title to your home. So go to our friends 33 00:01:27,080 --> 00:01:30,279 Speaker 1: at home title Lock. That's what they do. Home title 34 00:01:30,319 --> 00:01:35,400 Speaker 1: lock dot com promotion code Steve. Check out the million 35 00:01:35,480 --> 00:01:41,200 Speaker 1: dollar Triple Lock Protection fourteen day free trial. Your home 36 00:01:41,800 --> 00:01:45,839 Speaker 1: is your key asset most people, the home is by 37 00:01:46,080 --> 00:01:50,440 Speaker 1: far the leading asset you hold, and it's becoming too frequent. 38 00:01:50,520 --> 00:01:54,440 Speaker 1: You've seen their great representatives on the show with Steve 39 00:01:54,520 --> 00:01:58,240 Speaker 1: explaining why you should contact them, so please contact them 40 00:01:58,280 --> 00:02:03,400 Speaker 1: Home title lock dot com promo code Steve, and thank 41 00:02:03,400 --> 00:02:04,840 Speaker 1: you guys at home tit a lot for all you 42 00:02:04,880 --> 00:02:07,200 Speaker 1: do for supporting the war room the way you do. 43 00:02:08,240 --> 00:02:12,359 Speaker 1: So we're back with Chaplain Rich Stoglin. He's going to 44 00:02:12,400 --> 00:02:14,320 Speaker 1: give us a brief history in a minute or two 45 00:02:14,560 --> 00:02:17,440 Speaker 1: on how the Republican Party came to be, and he 46 00:02:17,520 --> 00:02:20,320 Speaker 1: assures us it's not the way you might have anticipated, 47 00:02:20,360 --> 00:02:22,200 Speaker 1: So Chaplain lead us away. 48 00:02:23,160 --> 00:02:23,480 Speaker 3: Thank you. 49 00:02:23,560 --> 00:02:26,960 Speaker 6: The Republican Party of Texas was created in eighteen sixty seven, 50 00:02:27,080 --> 00:02:30,240 Speaker 6: fourth through sixth July in Houston, Texas by one hundred 51 00:02:30,240 --> 00:02:34,280 Speaker 6: and fifty colored men and twenty white men because they 52 00:02:34,320 --> 00:02:37,239 Speaker 6: believe in the justice and the echoes of Frederick Douglass. 53 00:02:37,720 --> 00:02:42,240 Speaker 6: If you look at our party, for example, the person 54 00:02:42,320 --> 00:02:45,760 Speaker 6: who was a senator who helped write and his statue 55 00:02:45,800 --> 00:02:48,800 Speaker 6: is on Texas and in university, that's a color man. 56 00:02:48,840 --> 00:02:50,080 Speaker 3: He was a Texas Senator. 57 00:02:50,600 --> 00:02:54,119 Speaker 6: The first sheriff in the United elected sheriff in States 58 00:02:54,160 --> 00:02:57,919 Speaker 6: of America, Walter Moses Burton, who also became a senator 59 00:02:58,080 --> 00:03:02,079 Speaker 6: and helped in education system, is because of a black 60 00:03:02,240 --> 00:03:05,799 Speaker 6: Republican who signed it into law. So when you talk 61 00:03:05,840 --> 00:03:11,600 Speaker 6: about the Republican concentration and contributions, thirteen, fourteen, fifteenth, and 62 00:03:11,720 --> 00:03:13,680 Speaker 6: nineteenth amendments were Republicans. 63 00:03:13,960 --> 00:03:15,560 Speaker 3: People talk about LBJ and. 64 00:03:15,560 --> 00:03:18,400 Speaker 6: He signed in nineteen sixty five, voting right sick correct, 65 00:03:18,760 --> 00:03:21,000 Speaker 6: pull up the records and find out who voted for it. 66 00:03:21,240 --> 00:03:22,040 Speaker 3: Republicans. 67 00:03:22,280 --> 00:03:25,280 Speaker 6: So when you start looking at this and the Freedman Bureau, 68 00:03:25,360 --> 00:03:29,280 Speaker 6: which was the creator predecessor of the HBCU historical Black 69 00:03:29,280 --> 00:03:32,120 Speaker 6: College Universities, those of were because of Republicans. 70 00:03:32,440 --> 00:03:33,560 Speaker 3: So a party. 71 00:03:33,720 --> 00:03:35,920 Speaker 6: So when you start looking at this, the first civil 72 00:03:36,000 --> 00:03:39,400 Speaker 6: rights law that was passed into law and signed into law, 73 00:03:39,520 --> 00:03:42,960 Speaker 6: your listeness grant a Republican. The next time that happened 74 00:03:43,040 --> 00:03:45,440 Speaker 6: was nineteen fifty seven, the year I was born by 75 00:03:45,520 --> 00:03:48,600 Speaker 6: Dwight David Eisenhower. When you look at who was the 76 00:03:48,640 --> 00:03:52,480 Speaker 6: Brown versus the peak of border education, Earl Warren, former 77 00:03:52,520 --> 00:03:56,520 Speaker 6: governor Republican of California, who was the Chief Justice of 78 00:03:56,560 --> 00:03:59,839 Speaker 6: the US Supreme Court. So when you start looking at 79 00:04:00,080 --> 00:04:02,760 Speaker 6: the history of the Republican Party from the Great State 80 00:04:02,800 --> 00:04:07,880 Speaker 6: of Texas and nationally, the Republican Party, contrary to believe, 81 00:04:08,240 --> 00:04:10,080 Speaker 6: is not some part of voter suppresident. 82 00:04:10,120 --> 00:04:11,240 Speaker 3: That was the Democratic Party. 83 00:04:12,200 --> 00:04:15,720 Speaker 6: The military home of the Democratic Party, the ku Klux Klan, 84 00:04:16,040 --> 00:04:21,200 Speaker 6: the Black Cos, the Jim Crow Laws. Those were governors, sheriffs, 85 00:04:21,400 --> 00:04:25,239 Speaker 6: chiefs of police, mayors, the civil rights movement were fighting 86 00:04:25,279 --> 00:04:30,680 Speaker 6: the Democratic Party. And we need to understand the histronics 87 00:04:30,720 --> 00:04:31,480 Speaker 6: of this. 88 00:04:31,480 --> 00:04:32,440 Speaker 3: This is not made up. 89 00:04:32,480 --> 00:04:33,680 Speaker 2: This is history. 90 00:04:33,760 --> 00:04:34,480 Speaker 3: That's a fact. 91 00:04:34,920 --> 00:04:37,080 Speaker 6: And I had to even say that to a State 92 00:04:37,200 --> 00:04:42,599 Speaker 6: House hearing this past Friday in the great capital of 93 00:04:42,640 --> 00:04:45,279 Speaker 6: the Great State of Texas in Austin, Texas. And here 94 00:04:45,320 --> 00:04:50,720 Speaker 6: you have State Representative Milner asking a US Congressman did 95 00:04:50,760 --> 00:04:54,680 Speaker 6: she read the opinion of the Petty Group decision? She 96 00:04:54,720 --> 00:04:57,200 Speaker 6: said no, but I have an opinion. And his response was, so, 97 00:04:57,279 --> 00:04:59,880 Speaker 6: let me get this straight. You didn't read the opinion, 98 00:05:00,160 --> 00:05:02,240 Speaker 6: you don't know what the opinion says, but you have 99 00:05:02,360 --> 00:05:06,520 Speaker 6: an opinion. This is indicative of the kind of stuff 100 00:05:06,800 --> 00:05:10,800 Speaker 6: that a lot of these Democrat Party members are doing. 101 00:05:10,960 --> 00:05:13,440 Speaker 6: You don't read the agreements, you don't know what they mean, 102 00:05:14,000 --> 00:05:16,520 Speaker 6: and and here you are having these opinions that go 103 00:05:16,640 --> 00:05:20,640 Speaker 6: nowhere and for. And I'm a Black American. Part of 104 00:05:20,640 --> 00:05:24,560 Speaker 6: my life was in the projects, and so I was. 105 00:05:24,640 --> 00:05:28,119 Speaker 6: I was raised by a mother, a divorced mother, single 106 00:05:28,160 --> 00:05:31,880 Speaker 6: parent mother. And I was born in a segregated hospital, 107 00:05:31,920 --> 00:05:35,520 Speaker 6: Dickie Clinic and Taylor, Texas in nineteen fifty seven. 108 00:05:35,760 --> 00:05:37,119 Speaker 3: And I've gone all over the world. 109 00:05:37,680 --> 00:05:40,760 Speaker 6: I have a doctorate, I've graduated from the Naval War College, 110 00:05:40,800 --> 00:05:42,000 Speaker 6: the oldest war college. 111 00:05:41,680 --> 00:05:44,000 Speaker 3: In the world. And poor me if I. 112 00:05:43,960 --> 00:05:47,400 Speaker 6: Don't, if I depend on the Democratic Party, I can't read. 113 00:05:47,520 --> 00:05:49,880 Speaker 6: I better give my four degrees back in my diploma 114 00:05:50,120 --> 00:05:53,839 Speaker 6: from the Naval War College. I better give my home. 115 00:05:53,960 --> 00:05:56,320 Speaker 6: And by the way, I have books. These are not 116 00:05:56,440 --> 00:05:59,640 Speaker 6: just This is not some I a AI deal. These 117 00:05:59,640 --> 00:06:03,480 Speaker 6: are books that I do read. And so depending on them, 118 00:06:03,560 --> 00:06:06,279 Speaker 6: I'm poor. I'm ignorant. I'man capable of making decision. 119 00:06:06,520 --> 00:06:09,720 Speaker 3: I don't know what to do for me. And I'm 120 00:06:09,720 --> 00:06:10,680 Speaker 3: a black American. 121 00:06:11,040 --> 00:06:13,120 Speaker 6: And by the way, I spent three hundred and thirty 122 00:06:13,200 --> 00:06:15,440 Speaker 6: days boots on the ground in Afghanistan. I was a 123 00:06:15,440 --> 00:06:18,240 Speaker 6: command chaplain of thirty nine nations of the world, number 124 00:06:18,240 --> 00:06:19,600 Speaker 6: two on the enemy snipers list. 125 00:06:19,839 --> 00:06:21,440 Speaker 3: I had a full time security team. 126 00:06:21,920 --> 00:06:25,559 Speaker 6: My gear weighed eighty pounds, my security team one hundred 127 00:06:25,560 --> 00:06:28,640 Speaker 6: and forty. I wasn't a black command chaplain. I was 128 00:06:28,800 --> 00:06:35,320 Speaker 6: the command chaplain of NATO, of a NATO mission and 129 00:06:35,360 --> 00:06:38,240 Speaker 6: combined security rail Afghanistan. 130 00:06:38,320 --> 00:06:41,000 Speaker 3: So I don't know where all this is coming from, 131 00:06:41,080 --> 00:06:41,600 Speaker 3: and I'm not. 132 00:06:41,880 --> 00:06:45,960 Speaker 1: Yeah, I know where it's coming from. Hey, hey, chaplain, 133 00:06:46,000 --> 00:06:49,000 Speaker 1: let me ask you this one. All those degrees the 134 00:06:49,040 --> 00:06:51,600 Speaker 1: most impressive thing. If I went to seminary about forty 135 00:06:51,640 --> 00:06:55,760 Speaker 1: years ago or something back and I like that name 136 00:06:56,200 --> 00:06:58,480 Speaker 1: chaplain and pray we got to go. But I want 137 00:06:58,480 --> 00:07:03,520 Speaker 1: them for thirty seconds since my seminary days. What makes 138 00:07:03,520 --> 00:07:07,440 Speaker 1: the United States unique and the history unique in my 139 00:07:07,720 --> 00:07:12,239 Speaker 1: mind is the idea and the truth that every person 140 00:07:12,360 --> 00:07:14,920 Speaker 1: in the world is made in the image of God. 141 00:07:15,480 --> 00:07:19,119 Speaker 1: And the Republican Party will still support that premise, not enough, 142 00:07:19,240 --> 00:07:22,360 Speaker 1: not in public. And the Democrats do not at all 143 00:07:23,000 --> 00:07:26,280 Speaker 1: cite that the Marxist Lenin is sovereign China, of course rejected, 144 00:07:26,440 --> 00:07:30,360 Speaker 1: Russians rejected, and the Democratic Party, unfortune does not invoke 145 00:07:30,600 --> 00:07:33,840 Speaker 1: God much at all. And so your comments on the 146 00:07:33,880 --> 00:07:37,800 Speaker 1: importance of being made in the image of God. In closing, 147 00:07:37,840 --> 00:07:38,640 Speaker 1: thank you, Chaplin. 148 00:07:39,400 --> 00:07:40,080 Speaker 3: And I want to. 149 00:07:40,080 --> 00:07:43,080 Speaker 6: Tell you something. This guy right here, this is one 150 00:07:43,080 --> 00:07:45,040 Speaker 6: of the reasons. His name is Major Jim Capers. He 151 00:07:45,120 --> 00:07:49,520 Speaker 6: was wounded nineteen times. I'm hoping that the President will 152 00:07:49,560 --> 00:07:51,320 Speaker 6: award him the Medal of Honor. 153 00:07:51,560 --> 00:07:54,920 Speaker 3: He's been waiting since nineteen sixty seven. He was wounded 154 00:07:55,120 --> 00:07:59,320 Speaker 3: nineteen times. That's documented. I hope it. Guess what one 155 00:07:59,360 --> 00:07:59,920 Speaker 3: of the reasons. 156 00:08:00,080 --> 00:08:03,160 Speaker 6: I'm proud to be an American and proud to be 157 00:08:03,160 --> 00:08:03,880 Speaker 6: a Republican. 158 00:08:04,320 --> 00:08:07,640 Speaker 3: That's who we all, man, that's what we do a man. 159 00:08:07,760 --> 00:08:10,960 Speaker 1: Pritchett, all right, love you, Je, thanks for being on chaplain. 160 00:08:11,520 --> 00:08:15,360 Speaker 1: We're going to pivot to another great Texan representative, Harrison. 161 00:08:15,760 --> 00:08:18,680 Speaker 1: He's waiting. I think he's been on over the last 162 00:08:18,720 --> 00:08:21,200 Speaker 1: few days. He said a couple of things yesterday. I 163 00:08:21,240 --> 00:08:24,440 Speaker 1: think it was it surprised me. Governor Abbott had the 164 00:08:24,480 --> 00:08:26,680 Speaker 1: power and wherewithal to bring a lot of this to 165 00:08:26,800 --> 00:08:30,720 Speaker 1: closure and did not and left things open ended. That 166 00:08:32,280 --> 00:08:34,720 Speaker 1: leaves us where we are today, and so Representative Dave 167 00:08:34,800 --> 00:08:37,360 Speaker 1: Brat here, great to have you on. Can you give 168 00:08:37,440 --> 00:08:40,520 Speaker 1: us a recap of that statement you made yesterday because 169 00:08:40,559 --> 00:08:42,640 Speaker 1: I think that is so important to understand. 170 00:08:43,360 --> 00:08:43,560 Speaker 5: Yeah. 171 00:08:43,720 --> 00:08:46,160 Speaker 8: I've been on national news almost NonStop for the last 172 00:08:46,400 --> 00:08:49,199 Speaker 8: twenty four to thirty six hours and then trying to 173 00:08:49,240 --> 00:08:53,080 Speaker 8: get people to understand the real story here, the true scandal, 174 00:08:53,120 --> 00:08:56,560 Speaker 8: because the national media is missing it. It's everyone wants 175 00:08:56,559 --> 00:08:59,120 Speaker 8: to focus on the Democrats and the theatrics that they're 176 00:08:59,160 --> 00:09:01,559 Speaker 8: up to and how they're hiding behind Governor Pritsker, you 177 00:09:01,600 --> 00:09:03,440 Speaker 8: know up in Illinois and all that. Yeah, that's okay, 178 00:09:03,440 --> 00:09:06,840 Speaker 8: that's interesting, it's news. But the real story isn't that 179 00:09:06,880 --> 00:09:11,120 Speaker 8: the Democrats fled Texas to thwart our redistricting efforts. The 180 00:09:11,160 --> 00:09:14,520 Speaker 8: real story, and it is a scandal, is that Texas 181 00:09:14,760 --> 00:09:19,480 Speaker 8: Republican leadership let them do it, and let me explain 182 00:09:19,520 --> 00:09:21,839 Speaker 8: what I mean. People are covering this quorum break as 183 00:09:21,840 --> 00:09:23,960 Speaker 8: if it's only one or two days old. That's not true. 184 00:09:24,000 --> 00:09:26,880 Speaker 8: This quorm break goes on five. It started five days ago. 185 00:09:26,920 --> 00:09:29,280 Speaker 8: And I'll tell you what I mean by that. The Democrats, 186 00:09:29,280 --> 00:09:34,120 Speaker 8: my Democrat colleagues in the Texas House, were here last Wednesday. Well, 187 00:09:34,200 --> 00:09:37,360 Speaker 8: last Wednesday, we were on the floor. We were gabbled in. 188 00:09:37,679 --> 00:09:40,520 Speaker 8: We had the redistricting maps, they were filed, they were 189 00:09:40,600 --> 00:09:43,160 Speaker 8: in the system. We had the Democrats. We had a quorum. 190 00:09:43,480 --> 00:09:47,000 Speaker 8: And instead of using all of the tools available to 191 00:09:47,120 --> 00:09:51,319 Speaker 8: the corrupt Rhino leadership of the Texas House to maintain 192 00:09:51,360 --> 00:09:54,880 Speaker 8: the korum and force the Democrats to stay, what did 193 00:09:54,920 --> 00:10:00,000 Speaker 8: our speaker do? He adjourned the body after only seven 194 00:10:00,000 --> 00:10:04,640 Speaker 8: ten minutes over my objection. He ignored my objection after 195 00:10:04,800 --> 00:10:08,479 Speaker 8: seven minutes. He adjourned last Wednesday to let the Democrats 196 00:10:08,520 --> 00:10:11,640 Speaker 8: do what. Go down to the other side of the Capitol, 197 00:10:11,679 --> 00:10:14,560 Speaker 8: and I'm not making this up attend their meeting with 198 00:10:14,640 --> 00:10:17,920 Speaker 8: jakeem Jeffries, the leader of the Democrat in Congress, who 199 00:10:17,920 --> 00:10:21,400 Speaker 8: flew down from Washington, d C. Last Wednesday to strategize 200 00:10:21,440 --> 00:10:25,280 Speaker 8: with these Democrats, plot and plan their quorm break, and 201 00:10:25,320 --> 00:10:28,720 Speaker 8: so absolulutely, the real story is that this is a 202 00:10:28,800 --> 00:10:33,080 Speaker 8: quorm break done by Democrats, but unfortunately with the acquiescence, 203 00:10:33,559 --> 00:10:37,480 Speaker 8: the complicity and the support and assistance of the elected 204 00:10:37,480 --> 00:10:39,880 Speaker 8: Republican leadership in the State of Texas and of Texas. 205 00:10:40,040 --> 00:10:41,920 Speaker 8: If the great State of Texas at state I love 206 00:10:41,920 --> 00:10:43,800 Speaker 8: and am proud to serve in, if the State of 207 00:10:43,840 --> 00:10:49,760 Speaker 8: Texas had true, bold, fearless conservative leadership committed to delivering 208 00:10:49,760 --> 00:10:52,600 Speaker 8: for the people who sent us here, this korn break 209 00:10:52,840 --> 00:10:53,680 Speaker 8: never would have happened. 210 00:10:54,720 --> 00:10:57,679 Speaker 1: Yeah, Bran, thank you. Now, I misspoke. God, the speaker 211 00:10:57,760 --> 00:11:01,200 Speaker 1: did that, not the governor. What moves are you left 212 00:11:01,200 --> 00:11:02,920 Speaker 1: with right now? Where do we stand? 213 00:11:03,240 --> 00:11:04,240 Speaker 5: Well, let me comment on that. 214 00:11:04,320 --> 00:11:06,120 Speaker 8: I mean, the governor's the head of the executive branch 215 00:11:06,160 --> 00:11:08,679 Speaker 8: in the State of Texas. Once the House, if we've 216 00:11:08,679 --> 00:11:10,400 Speaker 8: done a call of the House, the governor could have 217 00:11:10,480 --> 00:11:13,760 Speaker 8: done what he did yesterday, which is ordered DPS to 218 00:11:13,800 --> 00:11:16,600 Speaker 8: support the House Sergeant at Arms and arrest every single 219 00:11:16,600 --> 00:11:19,600 Speaker 8: one of these Democrats before they left, before they crossed 220 00:11:19,679 --> 00:11:22,760 Speaker 8: the border into other states. So it's unfortunately it's not 221 00:11:23,040 --> 00:11:25,800 Speaker 8: just the speaker, it's the full elected leadership of the 222 00:11:25,800 --> 00:11:28,120 Speaker 8: Texas government that had the authority to stop this. And 223 00:11:28,160 --> 00:11:29,720 Speaker 8: I'm sick and tired of what we're seeing right now. 224 00:11:29,720 --> 00:11:33,679 Speaker 8: We're seeing so much bad Kabooki theater, scripted song and 225 00:11:33,880 --> 00:11:36,600 Speaker 8: dance and theatrics from the elected leadership in Texas. Now, 226 00:11:36,600 --> 00:11:38,600 Speaker 8: there's been a lot of for the last twenty four hours, 227 00:11:38,960 --> 00:11:41,640 Speaker 8: a lot of very strongly worded tweets. We've had some 228 00:11:41,720 --> 00:11:44,120 Speaker 8: very strongly worded press statements. So we've even had some 229 00:11:44,160 --> 00:11:47,120 Speaker 8: strongly worded arrest warrants. But you know what, you know, 230 00:11:47,200 --> 00:11:50,200 Speaker 8: arrest warrants are great. You know what's better arrests. I 231 00:11:50,280 --> 00:11:54,680 Speaker 8: want actions, people want results. Get the Democrats bring them back. 232 00:11:54,840 --> 00:11:56,920 Speaker 8: Let's vote the maps and quite frankly, actually, let's up 233 00:11:56,920 --> 00:11:58,760 Speaker 8: the ending. We should start playing hardball. I'm sick of 234 00:11:58,760 --> 00:12:01,800 Speaker 8: the way feckless Republicans fight the Democrats. The Democrats fight 235 00:12:01,880 --> 00:12:04,800 Speaker 8: for real, the Republicans play fight. We should up the 236 00:12:04,800 --> 00:12:08,120 Speaker 8: ante for every week the Democrats are gone. We should 237 00:12:08,160 --> 00:12:10,920 Speaker 8: redraw the maps and add one more Republican congressional seat 238 00:12:10,920 --> 00:12:13,000 Speaker 8: to these maps. It's time to play fight fire with 239 00:12:13,040 --> 00:12:13,840 Speaker 8: fire here, let's go. 240 00:12:15,880 --> 00:12:19,640 Speaker 1: Yeah, all political views are my own on this show, 241 00:12:19,760 --> 00:12:22,560 Speaker 1: and so Brian, you're lighting a fire and it's a 242 00:12:22,600 --> 00:12:26,120 Speaker 1: good one and it needs to happen. How does this happen? 243 00:12:26,160 --> 00:12:29,240 Speaker 1: When I was in Congress, the leadership. Back when I 244 00:12:29,320 --> 00:12:31,560 Speaker 1: was there, they ran what I called the giant Excel 245 00:12:31,679 --> 00:12:35,120 Speaker 1: spreadsheet in the sky. Right, the entire budget, line by 246 00:12:35,200 --> 00:12:37,880 Speaker 1: line was linked to donors. And if you tried to 247 00:12:37,920 --> 00:12:40,160 Speaker 1: save a tea spoon of that money, it would have 248 00:12:40,240 --> 00:12:43,240 Speaker 1: to come from somebody. So I'm guessing that this is 249 00:12:43,280 --> 00:12:47,720 Speaker 1: linked to money. This uniparty thing is led by major donors. 250 00:12:48,240 --> 00:12:52,240 Speaker 1: Enlighten us all so we can study and make some 251 00:12:52,360 --> 00:12:53,199 Speaker 1: progress down here. 252 00:12:53,280 --> 00:12:55,760 Speaker 8: Well, best I can tell, and this is going to 253 00:12:55,880 --> 00:12:59,120 Speaker 8: upset people, and it should. Best I can tell. Both parties, 254 00:12:59,160 --> 00:13:01,880 Speaker 8: not just the Democrats. Both parties are doing everything they 255 00:13:01,880 --> 00:13:03,160 Speaker 8: can to fundraise. 256 00:13:02,720 --> 00:13:03,520 Speaker 3: Off of this. 257 00:13:03,320 --> 00:13:05,480 Speaker 8: This insanity. I mean, that's what it looks like to me. 258 00:13:06,720 --> 00:13:09,280 Speaker 8: And meanwhile, who's left out there in the cold, the 259 00:13:09,280 --> 00:13:12,120 Speaker 8: hard working men and women of Texas, the voters who 260 00:13:12,160 --> 00:13:14,240 Speaker 8: send us here, the people were supposed to be serving. 261 00:13:14,440 --> 00:13:16,360 Speaker 8: And this isn't just the first example of the Texas 262 00:13:16,440 --> 00:13:18,360 Speaker 8: government being off the rails. I mean, let me be really. 263 00:13:18,200 --> 00:13:18,760 Speaker 1: Clear about this. 264 00:13:19,080 --> 00:13:22,640 Speaker 8: If the Texas Republican government wanted to do redistricting, really 265 00:13:22,720 --> 00:13:25,280 Speaker 8: believed that we should do it, we gabbled in it 266 00:13:25,400 --> 00:13:28,200 Speaker 8: in January. This could have been done by now and 267 00:13:28,240 --> 00:13:29,920 Speaker 8: it would have been done by now. The Texas Republican 268 00:13:30,000 --> 00:13:32,080 Speaker 8: leadership wanted it to. But what did we spend the 269 00:13:32,200 --> 00:13:35,800 Speaker 8: entire regular session doing? Was it passing bold conservative bills? 270 00:13:35,880 --> 00:13:36,680 Speaker 8: Was it redistricting? 271 00:13:36,960 --> 00:13:37,120 Speaker 3: No? 272 00:13:37,280 --> 00:13:41,400 Speaker 8: It was not we passed in the regular session. We 273 00:13:41,559 --> 00:13:45,400 Speaker 8: had of decided to continue taxing Texans out of their homes, 274 00:13:45,640 --> 00:13:49,400 Speaker 8: to fund DEI transgender ideology in our public universities, and 275 00:13:49,480 --> 00:13:52,160 Speaker 8: to give billions of tax dollars to liberal Hollywood. The 276 00:13:52,200 --> 00:13:54,719 Speaker 8: Texas government is off the rails. Democrats run the show 277 00:13:54,760 --> 00:13:55,480 Speaker 8: down here in Austin. 278 00:13:57,480 --> 00:14:00,840 Speaker 1: Yeah, well thanks to Stephen Banner and then the war 279 00:14:01,040 --> 00:14:03,480 Speaker 1: room Posse. The spotlight is on there. When I was 280 00:14:03,480 --> 00:14:07,600 Speaker 1: in Congress, I had no recourse right my local regional papers, 281 00:14:07,640 --> 00:14:10,800 Speaker 1: the national press was a disaster. It looks like the 282 00:14:10,840 --> 00:14:14,200 Speaker 1: Texans have been duped. But now there's a chance to 283 00:14:14,360 --> 00:14:17,000 Speaker 1: educate the text and people what's going on? Where do 284 00:14:17,080 --> 00:14:19,960 Speaker 1: people go to learn that? Brian? How do they follow you? 285 00:14:20,080 --> 00:14:20,960 Speaker 1: And social media? 286 00:14:21,480 --> 00:14:24,480 Speaker 8: Thank you to the Posse. Every conservative victory, as few 287 00:14:24,480 --> 00:14:27,000 Speaker 8: as they are, come from grassroots patriots like the Posse. 288 00:14:27,120 --> 00:14:29,960 Speaker 8: You've had effect here. Go follow me on x at 289 00:14:30,000 --> 00:14:34,640 Speaker 8: Brian E. Harrison at Brian E. Harrison on X Brian E. Harrison. 290 00:14:34,920 --> 00:14:38,080 Speaker 8: I update every day many times because, like I say 291 00:14:38,120 --> 00:14:42,960 Speaker 8: down here, transparency is like kryptonite in the swamp, and 292 00:14:43,160 --> 00:14:44,720 Speaker 8: the media is not telling you the real story, but 293 00:14:44,840 --> 00:14:46,800 Speaker 8: the posse in the war room is. And that's great 294 00:14:46,800 --> 00:14:48,560 Speaker 8: to be with you, Dave, and appreciate what Steve's been 295 00:14:48,560 --> 00:14:49,960 Speaker 8: doing for us the last few weeks too. 296 00:14:51,040 --> 00:14:55,480 Speaker 1: Yeah, well, said Brian. Keep representing the people. You just heard, 297 00:14:55,520 --> 00:14:59,120 Speaker 1: good news, Posse. You're making it happen. So spread the war. 298 00:14:58,960 --> 00:15:00,000 Speaker 9: Will America's voice. 299 00:15:00,040 --> 00:15:00,400 Speaker 10: Family. 300 00:15:00,440 --> 00:15:01,720 Speaker 5: Are you on Getter yet? 301 00:15:01,840 --> 00:15:01,880 Speaker 1: No? 302 00:15:02,280 --> 00:15:03,320 Speaker 6: What are you waiting for? 303 00:15:03,560 --> 00:15:06,520 Speaker 10: It's free, it's uncensored, and it's where all the biggest 304 00:15:06,560 --> 00:15:08,880 Speaker 10: voices in conservative media are speaking out. 305 00:15:09,920 --> 00:15:11,560 Speaker 5: Download the Getter app right now. 306 00:15:11,560 --> 00:15:12,240 Speaker 3: It's totally free. 307 00:15:12,320 --> 00:15:15,000 Speaker 11: Is where I've put up exclusively all of my content 308 00:15:15,200 --> 00:15:16,080 Speaker 11: twenty four hours a day. 309 00:15:16,080 --> 00:15:17,840 Speaker 1: You want to know what Steve Banners thinking? 310 00:15:17,920 --> 00:15:19,080 Speaker 3: Go together, that's right. 311 00:15:19,320 --> 00:15:22,680 Speaker 1: You can follow all of your favors Steve Banner, Charlie Kirk, Jack, 312 00:15:22,760 --> 00:15:26,720 Speaker 1: the Soviets, and so many more. Download the Getter app now, sign. 313 00:15:26,520 --> 00:15:28,400 Speaker 5: Up for free and be part of the new bank. 314 00:15:29,800 --> 00:15:31,800 Speaker 1: All right back in the war room, Dave Bratt sitting 315 00:15:31,840 --> 00:15:34,680 Speaker 1: in with the great Stephen K. Bannon. We've been paying 316 00:15:34,720 --> 00:15:38,720 Speaker 1: a lot of attention to Texas because that can determine 317 00:15:38,760 --> 00:15:42,640 Speaker 1: and we should be fighting that will determine the twenty 318 00:15:42,680 --> 00:15:47,200 Speaker 1: twenty six election. So aim all firepower to Texas. If 319 00:15:47,200 --> 00:15:49,720 Speaker 1: you're from Texas, make sure you're getting with your reps 320 00:15:49,720 --> 00:15:53,480 Speaker 1: and state senators and governors and all the leadership you 321 00:15:53,600 --> 00:15:56,880 Speaker 1: just heard from Representative Harrison very well put. While we're 322 00:15:56,920 --> 00:15:58,920 Speaker 1: on Texas, I want to give a shout out to 323 00:15:58,960 --> 00:16:04,120 Speaker 1: our friends at patre Mobile. I'm at Liberty University and 324 00:16:04,960 --> 00:16:07,720 Speaker 1: my friend Glenn's Story at Patriot Mobile. We have a 325 00:16:07,760 --> 00:16:12,000 Speaker 1: CEO summit every year. It's October fifteen and sixteen. He 326 00:16:12,040 --> 00:16:14,800 Speaker 1: always shows up with his team. Just a great guy. 327 00:16:14,840 --> 00:16:17,400 Speaker 1: He shows up everywhere I travel the country, get to 328 00:16:17,440 --> 00:16:21,080 Speaker 1: meet War Room Posse members all over the place with 329 00:16:21,160 --> 00:16:24,280 Speaker 1: Steve and Glenn. Story is one of our great friends 330 00:16:24,320 --> 00:16:27,080 Speaker 1: at Patriot Mobile. He's the CEO. So make sure you 331 00:16:27,160 --> 00:16:31,480 Speaker 1: reach out to them Patriotmobile dot com, slash Bannon or 332 00:16:31,560 --> 00:16:34,880 Speaker 1: call nine seven to two Patriot for a free month 333 00:16:34,960 --> 00:16:41,160 Speaker 1: of service. They are patriotic, they vote their values, they 334 00:16:41,200 --> 00:16:44,920 Speaker 1: speak their values. They provide quality service. They're the best 335 00:16:44,960 --> 00:16:49,640 Speaker 1: service there is. It's not like it's second best and 336 00:16:49,720 --> 00:16:51,880 Speaker 1: you're doing it because of values. It is the best 337 00:16:51,960 --> 00:16:54,600 Speaker 1: and they got the right values. So look them up, 338 00:16:54,640 --> 00:16:58,040 Speaker 1: do your research. Contact Glenn Story and his team at 339 00:16:58,120 --> 00:17:01,920 Speaker 1: Patriot Mobile, Patriot mobile dot com, slash panit all right, 340 00:17:02,360 --> 00:17:04,399 Speaker 1: look them up. Support our friends, their support in the 341 00:17:04,400 --> 00:17:07,679 Speaker 1: war room. We got the great Joe Allen with us 342 00:17:07,760 --> 00:17:10,480 Speaker 1: right now. I've had Joe at Liberty University. He's been 343 00:17:10,920 --> 00:17:14,160 Speaker 1: leading debates on artificial intelligence with the young people, getting 344 00:17:14,200 --> 00:17:17,119 Speaker 1: them all worked up. Joe, what do you got for 345 00:17:17,280 --> 00:17:19,399 Speaker 1: us today? I got I want to get into a 346 00:17:19,400 --> 00:17:22,040 Speaker 1: little bit of a theological discussion with you, because I 347 00:17:22,080 --> 00:17:25,320 Speaker 1: love what you do on that. But what what do 348 00:17:25,359 --> 00:17:26,560 Speaker 1: you bring it home today? 349 00:17:27,600 --> 00:17:31,440 Speaker 12: Well, Dave, speaking of theology, we are entering into an 350 00:17:31,480 --> 00:17:36,919 Speaker 12: era of the digital undead. There is a practice among 351 00:17:37,359 --> 00:17:42,840 Speaker 12: many transhumanists to record every aspect of one's life so 352 00:17:42,920 --> 00:17:46,800 Speaker 12: that in the future, when the AI has become sophisticated enough, 353 00:17:47,240 --> 00:17:50,879 Speaker 12: you would be able to, in essence, recreate the person 354 00:17:50,920 --> 00:17:54,440 Speaker 12: to resurrect them. If Vember wants to roll the cold open, 355 00:17:54,480 --> 00:17:57,119 Speaker 12: We'll see where this process stands right now. 356 00:17:58,240 --> 00:17:58,600 Speaker 1: Wow. 357 00:18:00,040 --> 00:18:03,800 Speaker 13: Joaquen Oliver died in the Parkland School shooting in Florida 358 00:18:03,920 --> 00:18:08,000 Speaker 13: back in twenty eighteen, but his parents Manuel and Patricia 359 00:18:08,280 --> 00:18:11,000 Speaker 13: have created an AI version of their assan to deliver 360 00:18:11,119 --> 00:18:13,600 Speaker 13: a powerful message on gun violence. 361 00:18:13,680 --> 00:18:20,480 Speaker 3: Man, I see dead people, Joaquin. It's Jim Acosta. I 362 00:18:20,520 --> 00:18:23,000 Speaker 3: was wondering if you could tell me what happened to you. 363 00:18:23,680 --> 00:18:27,080 Speaker 4: I appreciate your curiosity. I was taken from this world 364 00:18:27,080 --> 00:18:29,399 Speaker 4: too soon due to gun violence while at school. 365 00:18:29,480 --> 00:18:30,840 Speaker 5: It's important to talk about. 366 00:18:30,600 --> 00:18:33,119 Speaker 4: These issues so we can create a safer future for everyone. 367 00:18:33,119 --> 00:18:35,720 Speaker 5: What would you like to know more about, Joaquin? 368 00:18:35,800 --> 00:18:39,240 Speaker 13: I would like to know what your solution would be 369 00:18:39,800 --> 00:18:40,720 Speaker 13: for gun violence. 370 00:18:41,840 --> 00:18:42,560 Speaker 5: Great question. 371 00:18:42,800 --> 00:18:45,280 Speaker 4: I believe in a mix of stronger gun control laws, 372 00:18:45,359 --> 00:18:48,479 Speaker 4: mental health support, and community engagement. We need to create 373 00:18:48,560 --> 00:18:52,560 Speaker 4: safe spaces for conversations and connections, making sure everyone feels 374 00:18:52,600 --> 00:18:53,280 Speaker 4: seen and heard. 375 00:18:53,359 --> 00:18:56,760 Speaker 11: Sharon Osbourne has called out Rutstett's AI tribute to Ozzie 376 00:18:56,760 --> 00:18:59,959 Speaker 11: Osbourne by calling it disrespectful instead of keeping it simple. 377 00:19:00,080 --> 00:19:02,879 Speaker 11: Rod has recently started adding a full on AI video 378 00:19:03,160 --> 00:19:05,040 Speaker 11: to his performance of Forever Young. 379 00:19:09,320 --> 00:19:13,120 Speaker 14: When There's no more room in Hell, the dead will 380 00:19:13,200 --> 00:19:20,040 Speaker 14: walk here. 381 00:19:43,080 --> 00:19:46,960 Speaker 1: Wow, Joe, if you wouldn't have been with us a 382 00:19:46,960 --> 00:19:51,000 Speaker 1: few seconds before talking. I would have bought that hook 383 00:19:51,119 --> 00:19:53,840 Speaker 1: line and sinker all of it, except it looked like 384 00:19:53,840 --> 00:19:56,720 Speaker 1: it was a little bit of mis lip syncing there 385 00:19:56,800 --> 00:19:59,280 Speaker 1: going on or something. But what did we just see 386 00:19:59,320 --> 00:20:01,480 Speaker 1: and why does this matter to the war room and 387 00:20:01,600 --> 00:20:02,240 Speaker 1: to America. 388 00:20:04,240 --> 00:20:07,119 Speaker 12: Well, again, what you're seeing is the kind of early 389 00:20:07,240 --> 00:20:12,720 Speaker 12: phase of the digital undead. The first use of that 390 00:20:12,800 --> 00:20:17,640 Speaker 12: technology to bring back Joaquin Oliver from the twenty eighteen 391 00:20:17,760 --> 00:20:19,640 Speaker 12: Parkland shooting in Florida. 392 00:20:20,600 --> 00:20:23,240 Speaker 5: The first attempt was in twenty twenty. 393 00:20:23,520 --> 00:20:27,280 Speaker 12: They actually kind of resurrected using AI a number of 394 00:20:27,280 --> 00:20:31,480 Speaker 12: the victims and made a big political sensation out of it. 395 00:20:32,200 --> 00:20:35,680 Speaker 12: This practice, though, you could see in the concert there 396 00:20:35,720 --> 00:20:40,920 Speaker 12: with Rod Stewart aptly using the song Forever Young to 397 00:20:40,960 --> 00:20:45,840 Speaker 12: showcase the AI regeneration of Ozzy Osbourne and Bob Marley 398 00:20:45,960 --> 00:20:49,200 Speaker 12: and Michael Jackson, Freddie Mercury and all that. That's been 399 00:20:49,200 --> 00:20:52,440 Speaker 12: going on for some time too. There's been concerts with 400 00:20:52,880 --> 00:20:57,159 Speaker 12: kind of really badly produced holograms of Michael Jackson and. 401 00:20:58,680 --> 00:20:59,520 Speaker 5: Tupac Shakur. 402 00:21:00,080 --> 00:21:03,639 Speaker 12: When I was a rigger and I toured with Queen 403 00:21:03,760 --> 00:21:07,359 Speaker 12: Plus Adam Lambert, Brian May came out and played a 404 00:21:07,480 --> 00:21:11,640 Speaker 12: song with a video of Freddie Mercury behind him. So 405 00:21:11,720 --> 00:21:14,760 Speaker 12: that was an early taste of this sort of thing. 406 00:21:15,600 --> 00:21:20,720 Speaker 12: Why is important, Dave, aside from the grotesque display that 407 00:21:20,840 --> 00:21:24,800 Speaker 12: it provides for the public, is that the technology is 408 00:21:24,840 --> 00:21:28,280 Speaker 12: at a place right now where it is beginning to 409 00:21:28,320 --> 00:21:32,600 Speaker 12: fulfill many of the ideas that transhumanists and other futurists 410 00:21:32,600 --> 00:21:36,960 Speaker 12: had dreamt up in the past decades. You have a group, 411 00:21:37,000 --> 00:21:42,560 Speaker 12: for instance, called Terrisom. TYSOM was founded by Martin Rothblatt. 412 00:21:42,880 --> 00:21:48,040 Speaker 12: Martin Rothblatt is famous because of the connection between transgenderism 413 00:21:48,359 --> 00:21:54,760 Speaker 12: and transhumanism. But Rothblatt's organization Trisom, which is openly stated 414 00:21:54,760 --> 00:21:57,720 Speaker 12: it's a religious organization. I believe their tax exempt if 415 00:21:57,760 --> 00:22:01,080 Speaker 12: I'm not mistaken, the idea mind cloning. 416 00:22:01,359 --> 00:22:02,000 Speaker 3: So one of the. 417 00:22:01,960 --> 00:22:05,760 Speaker 12: Practices that they undergo is to feed as much of 418 00:22:05,800 --> 00:22:10,720 Speaker 12: their personalities as possible into a system of data, and 419 00:22:10,800 --> 00:22:14,199 Speaker 12: then the hope is you can reconstruct it well. With 420 00:22:14,320 --> 00:22:18,400 Speaker 12: the advent of chat, GPT and other large language models, 421 00:22:18,480 --> 00:22:23,040 Speaker 12: plus the image and video generation AIS, you can see 422 00:22:23,040 --> 00:22:28,440 Speaker 12: it's very primitive, but it's far greater than anything that existed, say, 423 00:22:28,560 --> 00:22:31,560 Speaker 12: ten years ago, And if it does continue to advance 424 00:22:31,880 --> 00:22:34,600 Speaker 12: and if it does continue to be normalized, I think 425 00:22:34,640 --> 00:22:37,840 Speaker 12: it will really put the question of whether or not 426 00:22:37,960 --> 00:22:41,480 Speaker 12: this technology is inevitable, whether or not this technology will 427 00:22:41,480 --> 00:22:45,159 Speaker 12: inevitably be embraced. It'll put that question to the test 428 00:22:45,560 --> 00:22:48,240 Speaker 12: because this is a sacred line. I think most people 429 00:22:48,600 --> 00:22:52,440 Speaker 12: are not going to cross. I hope most people are 430 00:22:52,480 --> 00:22:55,040 Speaker 12: not going to cross. Nobody wants to go to Thanksgiving 431 00:22:55,080 --> 00:22:58,919 Speaker 12: dinner and have dead aunt Franny sitting at the table 432 00:22:59,280 --> 00:23:01,520 Speaker 12: and still griping about the same thing that she was 433 00:23:01,560 --> 00:23:03,879 Speaker 12: gripping about twenty years ago when she was still alive. 434 00:23:05,840 --> 00:23:09,520 Speaker 1: Yeah, it's just stunning, Joe. I think you're right, there's 435 00:23:09,560 --> 00:23:12,879 Speaker 1: a moral line. There is there any research, and I 436 00:23:14,040 --> 00:23:18,840 Speaker 1: just use gross statistical analogies sometimes, but I heard the 437 00:23:18,920 --> 00:23:21,520 Speaker 1: other day there's twenty five percent of our country now 438 00:23:21,560 --> 00:23:24,800 Speaker 1: has serious mental health issues, right, And so if you 439 00:23:24,840 --> 00:23:27,359 Speaker 1: look and it just by chance, you know that the 440 00:23:27,359 --> 00:23:30,200 Speaker 1: proportion of the folks in the religious communities has been 441 00:23:30,200 --> 00:23:32,520 Speaker 1: fading down to about that number two. So it's kind 442 00:23:32,520 --> 00:23:37,800 Speaker 1: of a correlation between losing a grounded worldview and mental 443 00:23:37,800 --> 00:23:41,400 Speaker 1: health issues. And then we've all just been through torture 444 00:23:41,480 --> 00:23:44,959 Speaker 1: with COVID, right, and it took years, but at least 445 00:23:45,040 --> 00:23:47,640 Speaker 1: some of the scientific evidence started coming in about the 446 00:23:47,640 --> 00:23:53,280 Speaker 1: abuses of science, and that is there any anything coming 447 00:23:53,320 --> 00:23:57,080 Speaker 1: through yet on the abuse of just the preliminary stages 448 00:23:57,160 --> 00:24:01,480 Speaker 1: of this AI, just on the scientific level before we 449 00:24:01,560 --> 00:24:02,760 Speaker 1: get into the moral level. 450 00:24:04,600 --> 00:24:07,159 Speaker 12: I'm not aware of the statistics on how many people, 451 00:24:07,160 --> 00:24:13,080 Speaker 12: for instance, use chat bots as therapists or confidants. They 452 00:24:13,080 --> 00:24:17,280 Speaker 12: may exist, but most of what we see is anecdotal. 453 00:24:18,000 --> 00:24:20,720 Speaker 12: A lot of people I know use these things for 454 00:24:20,760 --> 00:24:23,600 Speaker 12: that purpose. A lot of people I know know people 455 00:24:23,800 --> 00:24:28,480 Speaker 12: who use chatbots for that purpose to confide their deepest secrets, 456 00:24:28,760 --> 00:24:32,520 Speaker 12: to get advice on some of the most critical issues 457 00:24:32,560 --> 00:24:36,879 Speaker 12: in their lives. And that connection, that emotional connection, that 458 00:24:37,040 --> 00:24:41,679 Speaker 12: sense of trust and dependency. The more people have it, 459 00:24:41,800 --> 00:24:45,440 Speaker 12: the more controlled these tech companies will have over their 460 00:24:45,480 --> 00:24:49,280 Speaker 12: way of thinking. It's a click above Google, to say 461 00:24:49,280 --> 00:24:52,879 Speaker 12: the least, we're talking about a semi natural conversation, and 462 00:24:52,920 --> 00:24:57,480 Speaker 12: if the expectation for a real natural conversation, a deep 463 00:24:57,760 --> 00:25:02,320 Speaker 12: communication between one human, and if that expectation is degraded, 464 00:25:02,760 --> 00:25:05,960 Speaker 12: then you don't really even need that sophisticated of a 465 00:25:06,040 --> 00:25:10,160 Speaker 12: technology to begin to replace it. And in COVID from 466 00:25:10,240 --> 00:25:16,880 Speaker 12: twenty twenty forward, what we saw was mass isolation, mass distrust, 467 00:25:17,359 --> 00:25:23,040 Speaker 12: mask screen dependency, everything from work from home to homeschooling 468 00:25:23,080 --> 00:25:27,360 Speaker 12: and e learning. The COVID really did, as Klaus Schwab 469 00:25:27,400 --> 00:25:30,800 Speaker 12: said in his Great Reset, provided a narrow window of 470 00:25:30,880 --> 00:25:36,840 Speaker 12: opportunity to push digital platforms and digital infrastructure onto the 471 00:25:37,359 --> 00:25:43,119 Speaker 12: population that would have never been accepted before. Fortunately, many people, 472 00:25:43,240 --> 00:25:47,439 Speaker 12: hopefully most people are suspicious of this and don't accept it, 473 00:25:47,640 --> 00:25:50,960 Speaker 12: will not accept it. But that's the big question, how 474 00:25:51,000 --> 00:25:53,600 Speaker 12: many people will? Because once you have a critical mass, 475 00:25:53,640 --> 00:25:56,679 Speaker 12: as we saw in twenty twenty moving forward, once you 476 00:25:56,720 --> 00:25:59,199 Speaker 12: have a critical mass of people who are on board 477 00:25:59,520 --> 00:26:03,399 Speaker 12: with some zeitgeist or another, then even if you don't 478 00:26:03,640 --> 00:26:06,280 Speaker 12: partake in it, even if you don't support it, it's 479 00:26:06,359 --> 00:26:09,600 Speaker 12: going to smash through your living room wall like the 480 00:26:09,640 --> 00:26:12,680 Speaker 12: kool Aid man and demand that you drink the kool 481 00:26:12,680 --> 00:26:13,120 Speaker 12: aid too. 482 00:26:14,400 --> 00:26:14,600 Speaker 5: Yeah. 483 00:26:14,720 --> 00:26:19,320 Speaker 1: No, I agree with you, And I just believe as 484 00:26:19,359 --> 00:26:22,639 Speaker 1: a Christian that it violates you know, I could go 485 00:26:22,680 --> 00:26:26,760 Speaker 1: over about ten thousand postulates of God's natural law and 486 00:26:26,840 --> 00:26:30,720 Speaker 1: common grace and whatever, and I just think that it's 487 00:26:30,840 --> 00:26:35,639 Speaker 1: got to result eventually in some empirical evidence showing mental 488 00:26:35,640 --> 00:26:39,879 Speaker 1: health catastrophes because of these false relationships. Right, there is 489 00:26:39,920 --> 00:26:43,640 Speaker 1: something real in our psyche and our souls and even 490 00:26:43,680 --> 00:26:45,960 Speaker 1: in our bodies that links us to God and to 491 00:26:46,080 --> 00:26:51,400 Speaker 1: the creation. And so back with Joe in a second, 492 00:26:51,960 --> 00:26:56,040 Speaker 1: more on the theology and artificial intelligence. So stay tuned, 493 00:26:56,280 --> 00:27:05,880 Speaker 1: shortbreak coming up, use your Stephen K. Bab all Right, 494 00:27:06,000 --> 00:27:08,960 Speaker 1: Dave Brett back in the war room with a great 495 00:27:09,119 --> 00:27:16,480 Speaker 1: Joe Allen on artificial intelligence. Just discussing kind of the creation, 496 00:27:17,080 --> 00:27:27,200 Speaker 1: the resurrection of the soul, of technology, keeping the lives 497 00:27:27,200 --> 00:27:32,399 Speaker 1: of people with us. I just cannot see how this 498 00:27:32,480 --> 00:27:36,720 Speaker 1: does not have repercussions. Joe. Let me just tee you 499 00:27:36,880 --> 00:27:39,520 Speaker 1: up with a few of my views out of the 500 00:27:39,640 --> 00:27:47,560 Speaker 1: Christian tradition, where AI just violates basic Christian propositions. If 501 00:27:47,600 --> 00:27:52,919 Speaker 1: you just look across the Catholic Catechism, the Baltimore Catechism, 502 00:27:52,960 --> 00:27:58,320 Speaker 1: the Protestant Catechism, Heidelberg Catechism, Jewish scripture, why are we 503 00:27:58,400 --> 00:27:59,880 Speaker 1: on earth to glorify God? 504 00:28:00,600 --> 00:28:00,760 Speaker 5: Right? 505 00:28:00,800 --> 00:28:03,880 Speaker 1: If you ask AI, do you glorify God? It says no. 506 00:28:04,200 --> 00:28:06,280 Speaker 1: If you ask it, what kind of ethical system do 507 00:28:06,359 --> 00:28:08,520 Speaker 1: you follow? It says, let me give you a history 508 00:28:08,520 --> 00:28:11,640 Speaker 1: of ethical systems? Right, And you try to and I'll say, well, 509 00:28:11,680 --> 00:28:14,080 Speaker 1: you make you're kind of making value judgments, and like 510 00:28:14,480 --> 00:28:16,840 Speaker 1: one of them I've been chatting with a little bit 511 00:28:16,880 --> 00:28:20,800 Speaker 1: to test it. It'll say, well, I follow the harm principle, 512 00:28:20,800 --> 00:28:24,080 Speaker 1: which is the utilitarians, you know, Bentham and Mill. And 513 00:28:24,119 --> 00:28:26,280 Speaker 1: I'm like, okay, that's better nothing. But then I say 514 00:28:26,520 --> 00:28:28,800 Speaker 1: to the machine, I say, well that's subjective, right, that 515 00:28:29,240 --> 00:28:31,800 Speaker 1: harm to you is not harmed of Hitler is different 516 00:28:31,840 --> 00:28:35,040 Speaker 1: than harm to mother Teresa, right, so that's subjective. And 517 00:28:35,080 --> 00:28:39,520 Speaker 1: it'll say, oh, very acute awareness. Right, let me give 518 00:28:39,520 --> 00:28:41,719 Speaker 1: you a history of that of the harm principle, and 519 00:28:41,760 --> 00:28:45,760 Speaker 1: so you can never pin it down on any moral questions, right. 520 00:28:45,800 --> 00:28:53,000 Speaker 1: And then digging a bit deeper into theology, I just 521 00:28:53,040 --> 00:28:55,280 Speaker 1: got done with the chaplain we're just talking about. Well, 522 00:28:55,280 --> 00:28:57,000 Speaker 1: you know, one of the key postulitz is we're made 523 00:28:57,040 --> 00:28:59,800 Speaker 1: in the image of God, and clearly artificial intelligence is 524 00:29:01,000 --> 00:29:03,560 Speaker 1: and if you ask it anything about that, it's blank 525 00:29:03,600 --> 00:29:05,400 Speaker 1: as well. And then if you go to the central 526 00:29:05,480 --> 00:29:10,760 Speaker 1: commands in the Christian tradition, in the Jewish tradition and 527 00:29:11,240 --> 00:29:14,640 Speaker 1: the Islamic trician love God and love your neighbor as yourself. 528 00:29:15,000 --> 00:29:19,360 Speaker 1: A I can't love right. And then then when you 529 00:29:19,400 --> 00:29:20,800 Speaker 1: go down to the next level and you look at 530 00:29:20,800 --> 00:29:26,480 Speaker 1: the creators of this stuff Altman, Sam Altman in Zuckerberg, 531 00:29:26,560 --> 00:29:30,840 Speaker 1: et cetera. When they're talking, they make me scared and nervous, right, 532 00:29:30,880 --> 00:29:33,760 Speaker 1: And so I just don't see how this goes well. 533 00:29:34,320 --> 00:29:36,320 Speaker 1: And so at a minimum, you know, they were trying 534 00:29:36,360 --> 00:29:39,640 Speaker 1: to get out of, you know, legislative accountability in the 535 00:29:39,720 --> 00:29:42,960 Speaker 1: last budget, and they was hidden by leadership. I guess 536 00:29:44,040 --> 00:29:46,160 Speaker 1: at a minimum, I want to plug. I want to 537 00:29:46,160 --> 00:29:48,400 Speaker 1: pull the plug, and I would like, you know, competition. 538 00:29:48,440 --> 00:29:50,280 Speaker 1: One of the nice things about having a few competitive 539 00:29:50,320 --> 00:29:53,320 Speaker 1: firms there is one of the firms should be able 540 00:29:53,320 --> 00:29:55,160 Speaker 1: to pull the plug on the other if they find 541 00:29:55,200 --> 00:29:59,080 Speaker 1: something that crosses a red line. And so that that's 542 00:29:59,240 --> 00:30:03,360 Speaker 1: just a quick set of observations. That's where my brain goes, 543 00:30:04,600 --> 00:30:07,479 Speaker 1: and the Liberty University kids, that's where their mind's gonna go. 544 00:30:08,080 --> 00:30:12,120 Speaker 1: Is this thing violates way too much of the basics, 545 00:30:13,120 --> 00:30:16,040 Speaker 1: and there's got to be some sort of repercussions about that. 546 00:30:16,200 --> 00:30:19,200 Speaker 1: And then the second point is how do we regulate 547 00:30:19,240 --> 00:30:21,440 Speaker 1: this thing? And so Joe just tee us up and 548 00:30:21,640 --> 00:30:23,840 Speaker 1: give us what you got, because I know you're steeped 549 00:30:23,840 --> 00:30:24,320 Speaker 1: in all of this. 550 00:30:26,080 --> 00:30:30,920 Speaker 12: The big question in America right now, and the Trump 551 00:30:30,960 --> 00:30:33,160 Speaker 12: action plan is a very bad sign as to where 552 00:30:33,160 --> 00:30:34,800 Speaker 12: it's going to go in my opinion. 553 00:30:35,080 --> 00:30:35,920 Speaker 5: But the question is. 554 00:30:36,120 --> 00:30:42,400 Speaker 12: How should one regulate or how should one govern artificial intelligence, 555 00:30:42,440 --> 00:30:46,520 Speaker 12: whether from the municipal or state or national level or 556 00:30:46,600 --> 00:30:48,320 Speaker 12: through international cooperation. 557 00:30:48,640 --> 00:30:50,719 Speaker 5: It's a free for all. It could go any direction. 558 00:30:51,040 --> 00:30:53,200 Speaker 12: You can see where it's going in California, which I 559 00:30:53,200 --> 00:30:55,840 Speaker 12: think is fairly reasonable, but who knows where. You can 560 00:30:55,880 --> 00:30:57,720 Speaker 12: see where it's going in Texas. You can see where 561 00:30:57,720 --> 00:31:00,360 Speaker 12: it's going in the EU. Right now, the US federal 562 00:31:00,400 --> 00:31:03,680 Speaker 12: government policy is basically to blow open the doors and 563 00:31:03,840 --> 00:31:06,680 Speaker 12: unleash whatever comes out the other end, whether it's GPT 564 00:31:06,880 --> 00:31:09,040 Speaker 12: five or GROCK or whatever. 565 00:31:09,840 --> 00:31:10,080 Speaker 8: You know. 566 00:31:10,280 --> 00:31:13,440 Speaker 12: To the question of the image of God, the way 567 00:31:13,480 --> 00:31:16,600 Speaker 12: I think about this, oftentimes you think of Augustine's statement 568 00:31:16,680 --> 00:31:19,960 Speaker 12: that Satan is the ape of God, Satan is the 569 00:31:20,040 --> 00:31:24,760 Speaker 12: imitator of God. Well, artificial intelligence is the ape of 570 00:31:24,800 --> 00:31:29,640 Speaker 12: the image of God. Artificial intelligence is a reflection of 571 00:31:30,040 --> 00:31:34,640 Speaker 12: human writing, human visual art production, human filmmaking, all these 572 00:31:34,640 --> 00:31:38,200 Speaker 12: sorts of things, even just human thinking. Right it mimics 573 00:31:38,240 --> 00:31:42,840 Speaker 12: it in a kind of deformed fashion, but it is 574 00:31:43,200 --> 00:31:45,880 Speaker 12: ultimately kind of a mockery in the same way that 575 00:31:46,200 --> 00:31:48,040 Speaker 12: you get really irritated when you come up with a 576 00:31:48,040 --> 00:31:50,239 Speaker 12: great line and someone steals it and uses it. 577 00:31:50,560 --> 00:31:52,440 Speaker 5: Well, this is basically a machine that's. 578 00:31:52,320 --> 00:31:54,640 Speaker 12: Created to do exactly that, and so everything that you 579 00:31:54,720 --> 00:31:59,520 Speaker 12: pour into the digital space is basically fodder for the 580 00:31:59,680 --> 00:32:03,400 Speaker 12: eight of the image of God. And you know, I'm 581 00:32:03,400 --> 00:32:05,600 Speaker 12: not sure what models you were talking to. I would 582 00:32:05,640 --> 00:32:09,920 Speaker 12: imagine it was probably GPT or maybe Claude or maybe Grock. 583 00:32:10,000 --> 00:32:13,160 Speaker 12: Those responses that you just listed very very common, right 584 00:32:13,240 --> 00:32:15,520 Speaker 12: trying to stay morally neutral, trying out. 585 00:32:15,360 --> 00:32:16,040 Speaker 5: To be offensive. 586 00:32:16,320 --> 00:32:20,000 Speaker 12: There are a lot of people developing right now. AI 587 00:32:20,200 --> 00:32:23,840 Speaker 12: bots that will evangelize that will tell you exactly from 588 00:32:23,880 --> 00:32:27,800 Speaker 12: whatever tradition it's kind of either programmed to or guided 589 00:32:28,080 --> 00:32:32,320 Speaker 12: to reflect. You will have I think a lot of 590 00:32:32,600 --> 00:32:35,920 Speaker 12: very important religious leaders who will not say do not 591 00:32:36,200 --> 00:32:36,800 Speaker 12: use AI. 592 00:32:37,240 --> 00:32:39,040 Speaker 5: They will say you must embrace it. 593 00:32:39,320 --> 00:32:42,800 Speaker 12: You must, in essence catechise the bots, and you must 594 00:32:42,920 --> 00:32:47,240 Speaker 12: use artificial intelligence for evangelical purposes. And this is going 595 00:32:47,240 --> 00:32:50,000 Speaker 12: to raise really big questions because if you do not 596 00:32:50,440 --> 00:32:53,600 Speaker 12: evangelize as it's been done for two thousand years with 597 00:32:53,840 --> 00:33:00,840 Speaker 12: a human representative, a human model, flaw challenge a human. 598 00:33:00,600 --> 00:33:03,280 Speaker 5: With a biography, a story. 599 00:33:03,640 --> 00:33:06,719 Speaker 12: If you don't have that as the vehicle, right, or 600 00:33:06,720 --> 00:33:11,080 Speaker 12: the gospel, then this robot right, it's just simply a 601 00:33:11,160 --> 00:33:15,600 Speaker 12: transmission of information. You're basically programming people with the Gospel 602 00:33:15,880 --> 00:33:16,520 Speaker 12: rather than. 603 00:33:16,360 --> 00:33:17,240 Speaker 5: Truly spreading it. 604 00:33:17,280 --> 00:33:19,959 Speaker 12: These are gonna be huge challenges going forward, Dave, and 605 00:33:20,160 --> 00:33:21,880 Speaker 12: I am glad that you're wrestling with it. 606 00:33:22,080 --> 00:33:23,560 Speaker 5: Very few people have that courage. 607 00:33:24,720 --> 00:33:28,320 Speaker 1: Yeah, no, well thanks to you and the point you 608 00:33:28,400 --> 00:33:31,320 Speaker 1: just brought up there, right, you know, the preaching and 609 00:33:31,360 --> 00:33:36,040 Speaker 1: the Protestant tradition, the word preached right from the they're 610 00:33:36,040 --> 00:33:38,160 Speaker 1: supposed to be preaching out of a good book, right, 611 00:33:38,200 --> 00:33:41,360 Speaker 1: So that would be helpful. But you know, AI can 612 00:33:41,400 --> 00:33:45,000 Speaker 1: certainly fake that and be the Ape of God there too, 613 00:33:45,800 --> 00:33:48,920 Speaker 1: But that will cross the line, right, The word preach 614 00:33:49,040 --> 00:33:50,960 Speaker 1: from the preacher out of the pulpit is the word 615 00:33:50,960 --> 00:33:53,560 Speaker 1: of God in our tradition, I think probably most of 616 00:33:53,560 --> 00:33:56,680 Speaker 1: the other traditions. Just in closing, Joe, just one other. 617 00:33:57,040 --> 00:34:01,240 Speaker 1: You know, every philosopher in the Western tradition, ancient philosophers, 618 00:34:02,640 --> 00:34:06,160 Speaker 1: you know, Socrates, Plato, Aristotle, Modern all the way up, Hobbes, 619 00:34:06,200 --> 00:34:09,319 Speaker 1: count Rousseau. Well, Rousseau is the exception. All of them said. 620 00:34:09,360 --> 00:34:15,200 Speaker 1: Human nature is bad, negative, right, very fallen the reforms that, 621 00:34:15,680 --> 00:34:20,839 Speaker 1: especially theological. So if you aggregate human nature into artificial intelligence, 622 00:34:21,280 --> 00:34:25,320 Speaker 1: every philosopher would conclude the aggregation is bad. And that's 623 00:34:25,360 --> 00:34:28,000 Speaker 1: why I went into this idea of a constitutional republic 624 00:34:28,000 --> 00:34:32,560 Speaker 1: where minority rights and minority factions are protected, because this 625 00:34:32,640 --> 00:34:36,040 Speaker 1: thing scares the daylight side of me and so any kind. 626 00:34:36,080 --> 00:34:40,880 Speaker 1: When you aggregate all human knowledge into one mass, my 627 00:34:41,000 --> 00:34:45,359 Speaker 1: conclusion is it's would represent human nature, which is quite 628 00:34:45,400 --> 00:34:48,719 Speaker 1: fallen in the Western tradition. Uh, one minute, and close 629 00:34:48,760 --> 00:34:49,960 Speaker 1: this out on that one, Joe. 630 00:34:51,080 --> 00:34:52,759 Speaker 5: Yeah, Dave, that's a great observation. 631 00:34:52,880 --> 00:34:56,920 Speaker 12: And it's it's true that say an AI is telling 632 00:34:56,960 --> 00:35:00,160 Speaker 12: people to commit suicide, say an AI is to telling 633 00:35:00,280 --> 00:35:04,560 Speaker 12: people to act in malevolent ways towards other people. 634 00:35:05,040 --> 00:35:07,000 Speaker 5: That is a reflection of its training data. 635 00:35:07,080 --> 00:35:11,560 Speaker 12: Right now, A sophisticated AI literally selected that for whatever reason, 636 00:35:11,640 --> 00:35:15,040 Speaker 12: statistical reasons, one assumes. But it's not as if it 637 00:35:15,080 --> 00:35:17,279 Speaker 12: was programmed to do that. People really got to get 638 00:35:17,280 --> 00:35:21,080 Speaker 12: beyond that, but it does reflect what was put into it, right, 639 00:35:21,239 --> 00:35:24,560 Speaker 12: human nature, human behavior, the hope of the kind of 640 00:35:24,600 --> 00:35:29,440 Speaker 12: transhumanist vision or the posthumanist vision is this that once 641 00:35:29,480 --> 00:35:32,920 Speaker 12: you have poured this flawed human nature into the machine, 642 00:35:33,280 --> 00:35:36,400 Speaker 12: once the machine has come to in essence understand or 643 00:35:36,480 --> 00:35:41,560 Speaker 12: grasp the mind of humanity, then either a human beings 644 00:35:41,560 --> 00:35:45,160 Speaker 12: with higher moral callings, right the sam Altmans of the world, 645 00:35:45,200 --> 00:35:49,919 Speaker 12: perhaps will then cull the negative aspects of human nature 646 00:35:49,920 --> 00:35:52,720 Speaker 12: from the machine and see that with the guardrails against racism, sexism, 647 00:35:52,800 --> 00:35:57,239 Speaker 12: homophobia all that. Now, the more unsettling idea is that 648 00:35:57,360 --> 00:36:02,920 Speaker 12: perhaps the machine itself will once sufficiently advanced artificial general 649 00:36:02,920 --> 00:36:06,880 Speaker 12: intelligence or superintelligence, that it will be better equipped to 650 00:36:06,960 --> 00:36:10,920 Speaker 12: figure out what is worth preserving in this digitized humanity 651 00:36:11,160 --> 00:36:13,040 Speaker 12: and what should be removed. 652 00:36:13,719 --> 00:36:16,960 Speaker 5: Yeah, it's going to be a very very weird future. 653 00:36:17,000 --> 00:36:19,600 Speaker 12: It's going to be full of all sorts of great arguments, 654 00:36:19,680 --> 00:36:22,680 Speaker 12: just like the ones you're making. And I think that 655 00:36:22,680 --> 00:36:24,799 Speaker 12: people are going to have to wrestle with this really hard. 656 00:36:24,840 --> 00:36:28,040 Speaker 12: Do you want a digital, undead version of your lost 657 00:36:28,080 --> 00:36:30,680 Speaker 12: loved one to speak to or are you prepared to 658 00:36:30,760 --> 00:36:34,480 Speaker 12: simply do as all humans have done for countless millennia? 659 00:36:34,600 --> 00:36:37,399 Speaker 1: Joe, how do people get you? How do you bet? 660 00:36:37,400 --> 00:36:38,479 Speaker 1: How do people get you, Joe. 661 00:36:39,840 --> 00:36:44,000 Speaker 12: You can find my work at Joe bot xyz social media, 662 00:36:44,120 --> 00:36:46,080 Speaker 12: my website Joe bought dot x y z, and I've 663 00:36:46,120 --> 00:36:50,239 Speaker 12: got a great section on the digital undead in my 664 00:36:50,320 --> 00:36:53,800 Speaker 12: book from two years ago, dark aon transhumanism and the 665 00:36:53,840 --> 00:36:55,040 Speaker 12: War against Humanity. 666 00:36:55,160 --> 00:36:56,080 Speaker 5: Thank you very much, Dave. 667 00:36:57,000 --> 00:36:59,759 Speaker 1: Yeah, great job, Joe, great as always, Thank you very much. 668 00:37:00,000 --> 00:37:03,560 Speaker 1: All right, we're bringing in Rosemary Jenks. Let's start with 669 00:37:03,680 --> 00:37:07,759 Speaker 1: cold open on immigration. She's our superstar in house. What 670 00:37:07,800 --> 00:37:09,399 Speaker 1: do we got Denver. 671 00:37:09,800 --> 00:37:12,279 Speaker 7: Looking for the criminals, the people that murdered you know, 672 00:37:12,320 --> 00:37:14,880 Speaker 7: we have eleven thousand, eight hundred and eighty eight people 673 00:37:14,880 --> 00:37:18,160 Speaker 7: that came into our country under Biden, under with our 674 00:37:18,200 --> 00:37:22,880 Speaker 7: great Tsar the borders are. She never called one, you know, 675 00:37:22,960 --> 00:37:24,839 Speaker 7: she never called you whose the borders are. She never 676 00:37:24,840 --> 00:37:26,719 Speaker 7: went to the border, and she never made one call 677 00:37:26,800 --> 00:37:27,640 Speaker 7: to the border patrol. 678 00:37:27,719 --> 00:37:27,920 Speaker 1: You know. 679 00:37:27,960 --> 00:37:30,120 Speaker 7: Other than that, she did a great job. But they 680 00:37:30,200 --> 00:37:34,759 Speaker 7: had hundreds of people that were murders, eleven thousand, eight 681 00:37:34,840 --> 00:37:38,800 Speaker 7: hundred and eighty eight murders, fifty percent of which murdered 682 00:37:39,200 --> 00:37:42,720 Speaker 7: more than one person in our country. We've already gotten 683 00:37:42,760 --> 00:37:44,920 Speaker 7: a lot of them out, and some of them are 684 00:37:44,960 --> 00:37:46,719 Speaker 7: so dangerous we don't want to bring them back. We 685 00:37:46,760 --> 00:37:48,520 Speaker 7: want to put them in our own prison because we 686 00:37:48,520 --> 00:37:51,640 Speaker 7: don't want up coming back. But they allowed eleven thousand, 687 00:37:51,760 --> 00:37:55,000 Speaker 7: eight hundred and eighty eight murderers, many of which murdered 688 00:37:55,000 --> 00:37:58,800 Speaker 7: more than one into our population, and we're getting them out. 689 00:37:58,719 --> 00:38:04,440 Speaker 1: A rapid all right. No better salesman on immigration than 690 00:38:04,520 --> 00:38:09,440 Speaker 1: President Donald Trump. But we've got the second leader in 691 00:38:09,480 --> 00:38:14,560 Speaker 1: our country on immigration, the Great Rosemary Jenks. Rosemary, I 692 00:38:14,640 --> 00:38:17,239 Speaker 1: just wanted to bring you on to remind people how 693 00:38:17,280 --> 00:38:22,080 Speaker 1: significant this issue is and was right. It catapulted. I 694 00:38:22,200 --> 00:38:25,359 Speaker 1: want a big election on the issue president Trump comes in. 695 00:38:25,960 --> 00:38:31,360 Speaker 1: It's one of these significant issues, probably top two. Why 696 00:38:31,400 --> 00:38:36,320 Speaker 1: does this issue capture the American people in a negative way, 697 00:38:36,760 --> 00:38:39,719 Speaker 1: in such a powerful way, And let folks know who 698 00:38:39,719 --> 00:38:43,360 Speaker 1: you're with and why this issue matters still and we 699 00:38:43,400 --> 00:38:45,080 Speaker 1: got to solve We're nowhere near solving it. 700 00:38:46,320 --> 00:38:46,600 Speaker 7: Yeah. 701 00:38:46,640 --> 00:38:50,120 Speaker 10: I'm with the Immigration Accountability Project. You can find us 702 00:38:50,120 --> 00:38:53,640 Speaker 10: that iaproject dot org. All our social media is linked 703 00:38:53,640 --> 00:38:57,880 Speaker 10: from that homepage and we are very active on social media. 704 00:38:58,480 --> 00:39:02,040 Speaker 10: We have have been working on this issue, the immigration 705 00:39:02,160 --> 00:39:05,279 Speaker 10: issue for I have been for thirty five years. And 706 00:39:05,320 --> 00:39:10,839 Speaker 10: the reason is that immigration impacts every single aspect of 707 00:39:10,880 --> 00:39:17,280 Speaker 10: our lives. It impacts healthcare, education policy, housing availability, labor 708 00:39:17,320 --> 00:39:23,600 Speaker 10: force obviously, and national security and everything, welfare usage, how 709 00:39:23,680 --> 00:39:26,400 Speaker 10: much taxpayers have to pay for these folks. And I 710 00:39:26,480 --> 00:39:30,439 Speaker 10: think we reached a breaking point under Joe Biden when 711 00:39:30,480 --> 00:39:33,239 Speaker 10: he flung the doors of the border open and let 712 00:39:33,320 --> 00:39:38,160 Speaker 10: in as many people as he possibly could. Americans could 713 00:39:38,200 --> 00:39:40,680 Speaker 10: not help but see the impact. 714 00:39:41,160 --> 00:39:43,640 Speaker 1: We saw it all around us. We saw it in our. 715 00:39:43,640 --> 00:39:47,680 Speaker 10: Overcrowded public schools, We saw it in overcrowded emergency rooms. 716 00:39:48,000 --> 00:39:51,240 Speaker 10: We saw it in the lack of available affordable housing. 717 00:39:52,440 --> 00:39:54,600 Speaker 10: You know, we saw it everywhere. And then we had 718 00:39:54,640 --> 00:39:57,919 Speaker 10: the terrorist threats, you know, the guys who broke into 719 00:39:58,000 --> 00:40:00,880 Speaker 10: Quantico and various other people who were on the terror 720 00:40:00,920 --> 00:40:03,359 Speaker 10: watch list who were just let into our nation. 721 00:40:04,160 --> 00:40:06,239 Speaker 1: So there was no avoiding it. 722 00:40:06,840 --> 00:40:10,000 Speaker 10: And you know, even before that, a lot of Americans 723 00:40:10,000 --> 00:40:15,759 Speaker 10: had recognized what a damaging proposition open borders is. But 724 00:40:15,960 --> 00:40:19,879 Speaker 10: Americans are now also realizing that we have too much 725 00:40:20,040 --> 00:40:23,799 Speaker 10: legal immigration, whether that's through H one b's coming in 726 00:40:23,880 --> 00:40:27,239 Speaker 10: and taking American tech jobs, whether that's just through our 727 00:40:27,280 --> 00:40:30,600 Speaker 10: normal legal immigration system that's letting in over a million 728 00:40:30,640 --> 00:40:35,520 Speaker 10: people per year as lawful permanent residents. It's too much, 729 00:40:35,640 --> 00:40:39,200 Speaker 10: and we're at the highest foreign born population we've ever had, 730 00:40:39,320 --> 00:40:42,200 Speaker 10: including at the turn of the last century during the 731 00:40:42,239 --> 00:40:46,080 Speaker 10: Great Wave. So it's time to bring us back and 732 00:40:46,160 --> 00:40:47,440 Speaker 10: focus on Americans. 733 00:40:48,560 --> 00:40:51,080 Speaker 1: Right on the money, Rosemary Jinks, hold you over the 734 00:40:51,120 --> 00:40:54,280 Speaker 1: break for another minute or so for closing remarks. Stay 735 00:40:54,320 --> 00:40:59,800 Speaker 1: tuned War room for Rosemary Jinks. Confuse your host Stephen 736 00:41:00,040 --> 00:41:08,040 Speaker 1: All right back in the war room with Rosemary Jenks, 737 00:41:08,400 --> 00:41:12,600 Speaker 1: one of the leading experts in the country on immigration. Rosemary, 738 00:41:12,680 --> 00:41:15,040 Speaker 1: I want people today to be able to reach out. 739 00:41:15,400 --> 00:41:20,560 Speaker 1: In addition what you said the trafficking numbers, I've seen 740 00:41:20,600 --> 00:41:24,040 Speaker 1: the prostitution of young girls that are missing in this country. 741 00:41:24,760 --> 00:41:27,680 Speaker 1: Can you just close with any numbers on that? Just 742 00:41:28,120 --> 00:41:30,359 Speaker 1: think about what we're talking about people in the United 743 00:41:30,400 --> 00:41:34,880 Speaker 1: States of America, trafficking of young girls for prostitution. Let in, 744 00:41:35,480 --> 00:41:40,120 Speaker 1: everyone turns a blind eye somehow. What are the numbers there, Rosemary? 745 00:41:40,160 --> 00:41:41,880 Speaker 1: Then how do people reach you again? And then we 746 00:41:41,960 --> 00:41:44,000 Speaker 1: got to hustle through a bunch of other friends coming on. 747 00:41:45,080 --> 00:41:48,880 Speaker 10: Yeah, so we know that the Biden administration actually lost 748 00:41:49,640 --> 00:41:53,440 Speaker 10: around three hundred thousand unaccompanied children who they let in 749 00:41:54,040 --> 00:41:56,720 Speaker 10: and then passed through a couple at least two government 750 00:41:56,760 --> 00:42:01,279 Speaker 10: agencies and then lost track of them. The Trump administration 751 00:42:01,440 --> 00:42:06,479 Speaker 10: has prioritized finding them, and they have found thousands of them, 752 00:42:06,640 --> 00:42:10,440 Speaker 10: including the fourteen children who were working at the potfield 753 00:42:10,560 --> 00:42:14,640 Speaker 10: in California and various others who have been labor trafficked 754 00:42:14,680 --> 00:42:19,680 Speaker 10: and sex trafficked. This is a crisis of our own making. 755 00:42:19,800 --> 00:42:24,239 Speaker 10: It is our government sponsored trafficking prices task. 756 00:42:24,800 --> 00:42:27,320 Speaker 1: Where do people go, Rosemary? How do they get the receipts? 757 00:42:27,320 --> 00:42:29,440 Speaker 1: How do people get these receipts? Where do they go 758 00:42:29,600 --> 00:42:32,200 Speaker 1: to follow you so they can share this information with 759 00:42:32,239 --> 00:42:33,200 Speaker 1: people and get this right. 760 00:42:34,080 --> 00:42:37,239 Speaker 10: Iaproject dot org is our website. We have all kinds 761 00:42:37,280 --> 00:42:41,879 Speaker 10: of resources, including a page of accountability that details the 762 00:42:42,000 --> 00:42:45,080 Speaker 10: votes and bills of every member of Congress on immigration, 763 00:42:45,719 --> 00:42:50,720 Speaker 10: and we have all of the executive orders that President 764 00:42:50,719 --> 00:42:56,399 Speaker 10: Trump has put out an iaproject dot org. We need 765 00:42:56,400 --> 00:42:58,200 Speaker 10: everybody's support to keep doing. 766 00:42:58,000 --> 00:43:04,400 Speaker 1: This great some thanks, Rosemary, Go support Rosemary and Immigration 767 00:43:04,440 --> 00:43:08,360 Speaker 1: Accountability Project. We've got Anna Paula Hankel with an update 768 00:43:08,640 --> 00:43:12,280 Speaker 1: what's going on with ball Sonaro. It's not good news, 769 00:43:12,280 --> 00:43:14,919 Speaker 1: but it's better news. But the assessment. Anna, what's going 770 00:43:15,000 --> 00:43:18,160 Speaker 1: down in Brazil? How do you characterize the regime down there? 771 00:43:20,120 --> 00:43:23,279 Speaker 9: H I'm su Brett, Thanks for having me. I'm in 772 00:43:23,320 --> 00:43:27,759 Speaker 9: Brazil and I am completely shocked to what I have 773 00:43:27,880 --> 00:43:30,160 Speaker 9: been seeing in the last couple of days. I'm an 774 00:43:30,160 --> 00:43:33,480 Speaker 9: American citizen, I am based the resident of Los Angeles, 775 00:43:34,080 --> 00:43:35,960 Speaker 9: and I have been living in the United States for 776 00:43:36,000 --> 00:43:38,920 Speaker 9: more than fifteen years now, but had to come to 777 00:43:38,960 --> 00:43:43,280 Speaker 9: Brazil to cover a lot of the political. 778 00:43:42,840 --> 00:43:45,040 Speaker 3: Scenario that it's happening here, and. 779 00:43:45,200 --> 00:43:49,160 Speaker 9: It's I'm even scared to be here, to be honest, 780 00:43:49,320 --> 00:43:51,840 Speaker 9: you know, even with my American passport, I'm scared to 781 00:43:51,840 --> 00:43:55,960 Speaker 9: be here because we have journalists in exile outside off Brazil. 782 00:43:56,480 --> 00:44:00,000 Speaker 9: We have no freedom of expression here. We have one 783 00:44:00,320 --> 00:44:05,520 Speaker 9: dictating what is the law. We have our constitution completely 784 00:44:05,760 --> 00:44:09,560 Speaker 9: ripped apart. And now you know, on top of all that, 785 00:44:09,719 --> 00:44:17,960 Speaker 9: we had the home therees issued home arrest for former 786 00:44:18,000 --> 00:44:25,480 Speaker 9: president Bolsonnaro because because he appeared in his son's social 787 00:44:25,560 --> 00:44:30,800 Speaker 9: media last Sunday. Last Sunday, we had major protests all 788 00:44:30,840 --> 00:44:34,799 Speaker 9: over Brazil. Thousands and thousands of people took the streets 789 00:44:34,840 --> 00:44:40,040 Speaker 9: to say, enough is enough, the law fair, the dictatorship. 790 00:44:40,640 --> 00:44:45,360 Speaker 9: Enough is enough, and President Bolsonaro went just to thank 791 00:44:45,480 --> 00:44:49,279 Speaker 9: people on his son's cell phone to say, thank you 792 00:44:49,360 --> 00:44:49,960 Speaker 9: so much. 793 00:44:50,040 --> 00:44:52,600 Speaker 3: We're going to continue to fight for Brazil. 794 00:44:52,840 --> 00:44:57,360 Speaker 9: So yesterday where Ice issue that home arrest for President 795 00:44:57,440 --> 00:44:58,960 Speaker 9: Bolsonaro for saying. 796 00:44:58,880 --> 00:45:02,200 Speaker 1: Okay, Anna, we're gonna get you back again. For a 797 00:45:02,200 --> 00:45:06,279 Speaker 1: longer segment, how do people get you quickly? Or social media? 798 00:45:06,760 --> 00:45:12,120 Speaker 9: Ana, Polo Hanko, Getter Truth, Instagram X. I'm posting everything 799 00:45:12,200 --> 00:45:15,799 Speaker 9: there about what's happening here in Brazil and thanks for 800 00:45:15,920 --> 00:45:19,880 Speaker 9: opening this page for us to show how Brazil is 801 00:45:20,000 --> 00:45:23,360 Speaker 9: under a judicial dictatorship now currently. 802 00:45:23,560 --> 00:45:26,520 Speaker 1: Yep, you got it. Thanks for your courage and everybody 803 00:45:26,520 --> 00:45:29,879 Speaker 1: go follow Anna the warroup post all social media. We're 804 00:45:29,880 --> 00:45:33,360 Speaker 1: gonna go to Trevor Comstock Sacred Human Health, one of 805 00:45:33,400 --> 00:45:35,600 Speaker 1: our great sponsors. Trevor, what do you got for us today? 806 00:45:35,640 --> 00:45:35,920 Speaker 2: Brother? 807 00:45:36,760 --> 00:45:38,879 Speaker 15: Yep, Dave, great to see you. So I know I've 808 00:45:38,880 --> 00:45:41,120 Speaker 15: come on a few times recently just to share the 809 00:45:41,160 --> 00:45:43,960 Speaker 15: news about the launch of our new Tallow moistreizer, and 810 00:45:44,000 --> 00:45:46,279 Speaker 15: again we have technically sold out three times in the 811 00:45:46,320 --> 00:45:48,840 Speaker 15: past four days. But our team has been doing an 812 00:45:48,880 --> 00:45:50,880 Speaker 15: amazing job and keeping it rolling. 813 00:45:51,600 --> 00:45:52,279 Speaker 3: So we're good there. 814 00:45:52,320 --> 00:45:53,120 Speaker 1: We're still in stock. 815 00:45:53,400 --> 00:45:55,440 Speaker 15: But also I just wanted to mention, you know, we've 816 00:45:55,480 --> 00:45:57,520 Speaker 15: had a good amount of questions come through just asking 817 00:45:57,560 --> 00:46:00,799 Speaker 15: about how this compares to other skin moistreisers, so I 818 00:46:00,840 --> 00:46:03,320 Speaker 15: just want to quickly touch on that. But compared to 819 00:46:03,360 --> 00:46:05,719 Speaker 15: most commercial skin creams, the issue with those is that 820 00:46:05,719 --> 00:46:10,000 Speaker 15: they're usually full synthetic ingredients like alcohols, fragrances, and cheap 821 00:46:10,040 --> 00:46:12,520 Speaker 15: fillers that can actually damage the skin barrier over time. 822 00:46:13,840 --> 00:46:16,240 Speaker 15: And you know, they may be effective, but the standard 823 00:46:16,239 --> 00:46:20,080 Speaker 15: skin cream, unfortunately, usually contains a ton of chemicals and 824 00:46:20,160 --> 00:46:22,879 Speaker 15: it's usually just mass produced where the quality is pretty 825 00:46:22,920 --> 00:46:26,640 Speaker 15: questionable as well. So our formula, in turn, is clean, 826 00:46:27,239 --> 00:46:30,160 Speaker 15: doesn't contain any artificial junk and just has the two ingredients, 827 00:46:30,160 --> 00:46:33,000 Speaker 15: which is the one grass fed and finished beef tallow 828 00:46:33,320 --> 00:46:36,960 Speaker 15: in ramanuka honey, and our jars are also handmade, so 829 00:46:37,000 --> 00:46:40,600 Speaker 15: we really don't skimp out on quality by any means. 830 00:46:40,640 --> 00:46:42,560 Speaker 15: So it's been flying off the shelves. We've had a 831 00:46:42,600 --> 00:46:45,279 Speaker 15: ton of great feedback. My mom just reported back to 832 00:46:45,320 --> 00:46:47,120 Speaker 15: me after a week of trying it that she loves it, 833 00:46:47,200 --> 00:46:49,760 Speaker 15: so I know I'm doing something right in that regard. 834 00:46:50,480 --> 00:46:52,800 Speaker 1: Yeah, how do people get how do people get you? 835 00:46:52,920 --> 00:46:53,280 Speaker 2: Trevor? 836 00:46:53,920 --> 00:46:54,320 Speaker 3: Of course? 837 00:46:54,440 --> 00:46:57,040 Speaker 15: Yeah, you can go to Sacred Humanhealth dot com or 838 00:46:57,120 --> 00:46:59,080 Speaker 15: just type in sacred human to Google will come up, 839 00:46:59,080 --> 00:47:01,319 Speaker 15: and then you can use code warroom for ten percent off. 840 00:47:02,560 --> 00:47:06,439 Speaker 1: Awesome, good everybody, Go follow Sacred Human Health. Trevor's great 841 00:47:06,440 --> 00:47:10,319 Speaker 1: supporter of the warroom. Go support him. Michael Lindell, you 842 00:47:10,360 --> 00:47:13,279 Speaker 1: got about a minute and forty five. Sell us some 843 00:47:13,320 --> 00:47:15,040 Speaker 1: pillows and give us some good news. 844 00:47:15,520 --> 00:47:20,319 Speaker 2: All right, great news, everybody. Yeah, yesterday we were ending 845 00:47:20,360 --> 00:47:23,400 Speaker 2: one sale and starting another, but we combined them both today, 846 00:47:23,560 --> 00:47:26,680 Speaker 2: so you have free shipping on your entire order. If 847 00:47:26,719 --> 00:47:31,680 Speaker 2: you go to my pillow dot com forward slash war room, everybody, 848 00:47:31,719 --> 00:47:34,520 Speaker 2: and you're gonna get free shipping on your entire order. 849 00:47:35,239 --> 00:47:39,120 Speaker 2: And that's also combined there. It is with the employee 850 00:47:39,160 --> 00:47:43,240 Speaker 2: pricing sale nineteen ninety eight. For the what I'm holding 851 00:47:43,400 --> 00:47:46,240 Speaker 2: right here, the premium pillows, we've sold over eighty five 852 00:47:46,360 --> 00:47:49,360 Speaker 2: million now or upwards of eighty five million. So go 853 00:47:49,400 --> 00:47:52,839 Speaker 2: to my pillow dot com forward slash warroom and there 854 00:47:52,880 --> 00:47:55,759 Speaker 2: you see it, the free shipping, and you see those 855 00:47:55,800 --> 00:47:59,239 Speaker 2: seventeen dollars. These are like our bath sheets that came in. 856 00:47:59,480 --> 00:48:02,400 Speaker 2: You guys, see, you just came in. They're oversized Bash tollels. 857 00:48:02,440 --> 00:48:05,239 Speaker 2: They call them bash sheets. They are so awesome, made 858 00:48:05,280 --> 00:48:07,640 Speaker 2: with the finest cotton in the world. And then you 859 00:48:07,719 --> 00:48:10,279 Speaker 2: have our bath mats, but all our towels, but with 860 00:48:10,320 --> 00:48:14,040 Speaker 2: the free shipping. You see right there, the mattresses, the 861 00:48:14,080 --> 00:48:17,879 Speaker 2: mattress toppers, the mattress pads. Everybody need. We all need 862 00:48:17,920 --> 00:48:21,480 Speaker 2: good sleep cycles, rem and delta sleep, your delta sleep. 863 00:48:21,520 --> 00:48:24,680 Speaker 2: Your body needs to get those big ticket items free 864 00:48:24,680 --> 00:48:28,160 Speaker 2: shipping on your entire order. Call eight hundred eight seven 865 00:48:28,320 --> 00:48:32,759 Speaker 2: three one zero six two and use the most best promo. 866 00:48:32,480 --> 00:48:35,680 Speaker 1: Code in the world, promo code war Room. That's it 867 00:48:36,120 --> 00:48:39,960 Speaker 1: all right, Mike Lindell walking miracle. You saw his employees 868 00:48:41,000 --> 00:48:44,960 Speaker 1: positive force in this universe. Go support Mike Lindell. Buy 869 00:48:45,000 --> 00:48:48,359 Speaker 1: some pillows. That's a great deal, no shipping fees, a 870 00:48:48,400 --> 00:48:52,560 Speaker 1: warroom posse. Keep it up, keep up the energy, go out, 871 00:48:52,640 --> 00:48:55,000 Speaker 1: share the receipts and share the war room with everyone 872 00:48:55,040 --> 00:48:57,080 Speaker 1: you know. God bless you all. Have a great day.