1 00:00:10,960 --> 00:00:17,639 Speaker 1: This is a Jesse Kelly Show Kitties, The Jesse Kelly Show, 2 00:00:17,920 --> 00:00:22,920 Speaker 1: final hour of The Jesse Kelly Show on of Magnificent Tuesday. 3 00:00:23,079 --> 00:00:26,120 Speaker 1: So we're going to I'm gonna do kind of an 4 00:00:26,160 --> 00:00:29,960 Speaker 1: extended version, if you will not from me about something 5 00:00:30,040 --> 00:00:35,600 Speaker 1: we've talked about a lot, about how they weaponize young women, 6 00:00:35,680 --> 00:00:39,920 Speaker 1: how communists weaponize young women. They take their wonderful nature 7 00:00:40,880 --> 00:00:44,159 Speaker 1: and they twist it and manipulate it and turn them 8 00:00:44,159 --> 00:00:48,959 Speaker 1: into the most vicious, violent communist foot soldiers. That we're 9 00:00:48,960 --> 00:00:52,479 Speaker 1: gonna do right away. We'll talk about lowering prices in 10 00:00:52,520 --> 00:00:55,960 Speaker 1: your life. We'll deal with some emails, smartphones, all that. 11 00:00:56,040 --> 00:00:59,080 Speaker 1: More is still to come. But first, before we go 12 00:00:59,120 --> 00:01:04,399 Speaker 1: any further these there's a couple long audio hits here. 13 00:01:04,480 --> 00:01:06,440 Speaker 1: I may stop them, I may not, but I wanted 14 00:01:06,440 --> 00:01:09,760 Speaker 1: to set this up first. First. You remember what you 15 00:01:09,800 --> 00:01:13,800 Speaker 1: and I have talked about many times before about young women. 16 00:01:13,840 --> 00:01:17,280 Speaker 1: You have you have all these all these polls that 17 00:01:17,319 --> 00:01:24,000 Speaker 1: are it's staggering the percentage of young single women who 18 00:01:24,080 --> 00:01:27,399 Speaker 1: turn communists, and then you find out they are the 19 00:01:27,440 --> 00:01:32,080 Speaker 1: most committed, vicious, violent communists on the planet, and they 20 00:01:32,120 --> 00:01:34,040 Speaker 1: and they stay that way as they get older. Even 21 00:01:34,080 --> 00:01:36,759 Speaker 1: if they end up happen happening to have families. They 22 00:01:36,760 --> 00:01:40,880 Speaker 1: are diagnosed at over sixty percent or almost sixty ppent, 23 00:01:40,959 --> 00:01:49,040 Speaker 1: right around sixty percent with mental illness, diagnosed with mental illness, miserable, anxiety, ridden, angry, bitter, vicious. 24 00:01:49,120 --> 00:01:52,240 Speaker 1: But we are watching our young women be destroyed by 25 00:01:52,280 --> 00:01:55,480 Speaker 1: communism in this country. But what's wild is this is 26 00:01:55,520 --> 00:02:01,360 Speaker 1: not unique to us here. Every communist movement has had 27 00:02:01,600 --> 00:02:07,400 Speaker 1: young women in the vanguard of its most vicious, violent 28 00:02:07,480 --> 00:02:12,760 Speaker 1: foot soldiers. Pullpot, love them, love the men. Cambodia thought 29 00:02:12,800 --> 00:02:17,960 Speaker 1: they were invaluable. But how can that be when a 30 00:02:18,000 --> 00:02:24,320 Speaker 1: woman is motherly and kind, and a woman will see 31 00:02:24,680 --> 00:02:27,680 Speaker 1: a wounded rat on the side of the road and 32 00:02:27,720 --> 00:02:31,080 Speaker 1: feel some sort of sympathy for it. Can we rescue it? 33 00:02:31,800 --> 00:02:35,160 Speaker 1: How could you go from that to being the most vicious, 34 00:02:35,280 --> 00:02:38,840 Speaker 1: violent creature on the planet. Well, it's actually not as 35 00:02:38,880 --> 00:02:44,760 Speaker 1: difficult as you think. You take the wonderful nature and 36 00:02:45,240 --> 00:02:47,320 Speaker 1: you don't have to turn it around and do a 37 00:02:47,360 --> 00:02:50,360 Speaker 1: one to eighty with it, not right away. You take 38 00:02:50,480 --> 00:02:54,240 Speaker 1: the wonderful nature and you just give it a little 39 00:02:54,240 --> 00:02:57,520 Speaker 1: bit of an off ramp. So it's still kind of 40 00:02:57,639 --> 00:03:01,240 Speaker 1: moving in the right direction, But you off ramped it. 41 00:03:01,320 --> 00:03:05,040 Speaker 1: You see, you just diverted it a little, and then 42 00:03:05,080 --> 00:03:07,400 Speaker 1: you can divert it a little more, and then a 43 00:03:07,480 --> 00:03:11,000 Speaker 1: little more, and soon you've done. On one eighty. You 44 00:03:11,240 --> 00:03:16,320 Speaker 1: take that wonderful young woman, with her kind heart, with 45 00:03:16,360 --> 00:03:21,640 Speaker 1: her motherly heart, and with enough off ramps, with enough 46 00:03:21,760 --> 00:03:27,240 Speaker 1: social conditioning, you turned her into the mother of the 47 00:03:27,280 --> 00:03:33,280 Speaker 1: communist revolution. Now, what's wonderful about a mother? In always 48 00:03:33,800 --> 00:03:37,000 Speaker 1: the humans? Chris just brought up a bear? A bear 49 00:03:37,080 --> 00:03:40,760 Speaker 1: is a great example. Do you know the vast majority 50 00:03:40,960 --> 00:03:45,680 Speaker 1: of bear attacks are mothers. You know, I've told my 51 00:03:45,760 --> 00:03:48,920 Speaker 1: sons when we're in Montana, the most dangerous kind of 52 00:03:49,000 --> 00:03:53,080 Speaker 1: bear you can see is a bear cub. You know 53 00:03:53,120 --> 00:03:58,760 Speaker 1: why because where there's a cub, mom is nearby. And 54 00:03:58,800 --> 00:04:03,720 Speaker 1: if mom even thinks there's a chance you're going to 55 00:04:03,760 --> 00:04:07,360 Speaker 1: harm her baby, she's going to kill you or die trying. 56 00:04:07,720 --> 00:04:11,920 Speaker 1: She will. That's what a mother will do. Human mothers 57 00:04:11,960 --> 00:04:14,600 Speaker 1: operate this way too. They'll kill for their kids, they'll 58 00:04:14,640 --> 00:04:17,720 Speaker 1: die for their kids. Well, what if I can take 59 00:04:17,800 --> 00:04:21,200 Speaker 1: that wonderful nature and I can make you the mother 60 00:04:22,080 --> 00:04:25,840 Speaker 1: of my revolution. We've talked about this so Nicole Shanahan, 61 00:04:26,920 --> 00:04:30,560 Speaker 1: she was the running mate of RFK Junior. Remember he 62 00:04:30,640 --> 00:04:32,680 Speaker 1: was running in the Democrat primary, and then he left 63 00:04:32,720 --> 00:04:35,480 Speaker 1: and ran as an independent. I actually had a chance 64 00:04:35,520 --> 00:04:38,440 Speaker 1: to meet and talk to Nicole when we did this 65 00:04:38,480 --> 00:04:41,040 Speaker 1: big event with Tucker Carlson down here in Houston, when 66 00:04:41,040 --> 00:04:43,000 Speaker 1: I was the guest. She was kind of the opener 67 00:04:43,000 --> 00:04:45,039 Speaker 1: for the whole thing, so I I got a chance 68 00:04:45,040 --> 00:04:47,599 Speaker 1: to spend some time with her backstage. Just a lovely, 69 00:04:48,000 --> 00:04:51,320 Speaker 1: kind human being, you can tell, kind human being, former LIB. 70 00:04:52,000 --> 00:04:56,440 Speaker 1: And this is an extremely wealthy Silicon Valley woman, former 71 00:04:56,520 --> 00:04:59,640 Speaker 1: LIB who kind of woke up and she gave this 72 00:04:59,720 --> 00:05:01,760 Speaker 1: law interview. And so it's very long. I don't know 73 00:05:01,800 --> 00:05:04,520 Speaker 1: if I'll stop it. I might, but you've heard it 74 00:05:04,600 --> 00:05:09,000 Speaker 1: from me. That's me, though I'm a barbarian. I want 75 00:05:09,040 --> 00:05:11,880 Speaker 1: you to listen to Nicole, and I want you to 76 00:05:11,960 --> 00:05:14,120 Speaker 1: decide right now that you're going to be very very 77 00:05:14,160 --> 00:05:15,440 Speaker 1: careful with your baby girl. 78 00:05:15,520 --> 00:05:18,960 Speaker 2: And they find themselves like I would find myself. That 79 00:05:19,000 --> 00:05:21,479 Speaker 2: was my self worth was my philanthropic work, and I 80 00:05:21,560 --> 00:05:24,680 Speaker 2: really believed in it. I really believe that I was 81 00:05:24,760 --> 00:05:30,799 Speaker 2: giving black communities a chance to rise up out of oppression. 82 00:05:30,880 --> 00:05:34,080 Speaker 2: I really believe that I was helping indigenous communities rise 83 00:05:34,200 --> 00:05:37,120 Speaker 2: up out of oppression. And now that I look back 84 00:05:37,120 --> 00:05:40,520 Speaker 2: and see how all those grants performing, you know, because 85 00:05:40,560 --> 00:05:44,840 Speaker 2: my version of successes, those communities are actually uplifted. Yeah, 86 00:05:45,440 --> 00:05:48,560 Speaker 2: not just more money pumped into them. Not just more money. No, 87 00:05:48,800 --> 00:05:51,560 Speaker 2: the problems of the community have gotten worse. Crime in 88 00:05:51,600 --> 00:05:55,200 Speaker 2: the community has gotten worse. Mental health in the native community, 89 00:05:55,320 --> 00:05:59,039 Speaker 2: the indigenous community has gotten worse. They will even say 90 00:05:59,040 --> 00:06:03,040 Speaker 2: the Indigenous community will even say that their biggest supporters 91 00:06:03,120 --> 00:06:06,680 Speaker 2: in Congress have been Republicans, but yet they continue to 92 00:06:06,880 --> 00:06:11,520 Speaker 2: vote Democrat. Yeah, I mean that is that is this, 93 00:06:12,320 --> 00:06:17,640 Speaker 2: It's like the whole model is broken, the whole model 94 00:06:17,680 --> 00:06:23,080 Speaker 2: makes everybody worse off, and now we're contending with the 95 00:06:23,120 --> 00:06:26,080 Speaker 2: freaking great reset that we're now realizing is the terrible 96 00:06:26,160 --> 00:06:30,440 Speaker 2: idea yea, and that many of our climate change issues 97 00:06:30,440 --> 00:06:35,479 Speaker 2: are geoengineering issues. Yeah, which is like at the end 98 00:06:35,520 --> 00:06:36,880 Speaker 2: of the day, they always go to that, They're like, 99 00:06:36,920 --> 00:06:40,280 Speaker 2: but climate change, and then that really is the end 100 00:06:40,279 --> 00:06:42,080 Speaker 2: all be all, Like you have to let us do 101 00:06:42,160 --> 00:06:46,160 Speaker 2: this because of climate change. Yeah, social justice and climate change. 102 00:06:46,160 --> 00:06:48,720 Speaker 2: It always boils down to those two things, and it 103 00:06:48,839 --> 00:06:52,200 Speaker 2: gets progressive women one hundred percent of the time it does. 104 00:06:52,680 --> 00:06:57,920 Speaker 2: It does. But I don't think many of the tech 105 00:06:57,960 --> 00:07:01,720 Speaker 2: mafia wives realize is that they were used just. 106 00:07:01,640 --> 00:07:04,559 Speaker 1: To heads up, just heads up the tech mafia wives. 107 00:07:04,600 --> 00:07:06,839 Speaker 1: I want to explain what she's describing. You probably already 108 00:07:06,839 --> 00:07:10,240 Speaker 1: figured out in the big tech world, the Silicon Valley world, 109 00:07:10,720 --> 00:07:13,960 Speaker 1: all those billions going into all this online stuff, all 110 00:07:13,960 --> 00:07:18,840 Speaker 1: this tech stuff. Well, those guys eventually get married, sometimes 111 00:07:18,840 --> 00:07:21,400 Speaker 1: to Russian and Chinese honeypots, but that's another story. But 112 00:07:21,440 --> 00:07:24,200 Speaker 1: those guys eventually get married, and so what do you have. 113 00:07:24,680 --> 00:07:28,240 Speaker 1: You have a bunch of wives who are absurdly wealthy, 114 00:07:28,840 --> 00:07:31,320 Speaker 1: and they get together, and they hang out together, and 115 00:07:31,360 --> 00:07:34,200 Speaker 1: they do things together. But we go back to what 116 00:07:34,240 --> 00:07:38,080 Speaker 1: we were discussing before about how these women they have 117 00:07:38,200 --> 00:07:40,800 Speaker 1: become mothers of the communist revolution, and when they go 118 00:07:40,880 --> 00:07:43,960 Speaker 1: out for drinks at Red Lobster on Friday night, they 119 00:07:44,000 --> 00:07:47,360 Speaker 1: don't just discuss how the neighbor needs to cut his grass. 120 00:07:47,440 --> 00:07:50,680 Speaker 1: You see, they are now the mothers of the Communist revolution, 121 00:07:51,480 --> 00:07:54,880 Speaker 1: and they are there to push the Communist revolution forward, 122 00:07:55,400 --> 00:07:58,720 Speaker 1: to help it forward, to help it succeed, as mothers do. 123 00:07:58,960 --> 00:08:01,480 Speaker 1: When she says the tech mafia wives, because it's a 124 00:08:01,520 --> 00:08:04,080 Speaker 1: real vicious, tight knit group, that's what she's talking about. 125 00:08:04,080 --> 00:08:06,440 Speaker 2: But I don't think many of the tech mafia wives 126 00:08:06,480 --> 00:08:10,760 Speaker 2: realize is that they were used to set the groundwork 127 00:08:11,640 --> 00:08:15,600 Speaker 2: for what was called like the Reset, what is called 128 00:08:15,640 --> 00:08:20,200 Speaker 2: generally as like the Reset by the Klaus Schwabs, like 129 00:08:20,280 --> 00:08:22,760 Speaker 2: the Great Reset, the Great Reset. Yeah they I mean 130 00:08:22,760 --> 00:08:26,880 Speaker 2: they openly talk about this Great Reset. Yeah. So the 131 00:08:26,920 --> 00:08:30,880 Speaker 2: tech wive mafias, I believe, were kind of being conscripted 132 00:08:30,880 --> 00:08:33,560 Speaker 2: in many ways and their money, especially as being conscripted 133 00:08:33,600 --> 00:08:41,440 Speaker 2: in to set the groundwork for the Great Reset, specifically 134 00:08:41,600 --> 00:08:52,160 Speaker 2: through a network of non NGO advisors, relationship with Hollywood, 135 00:08:52,960 --> 00:08:58,080 Speaker 2: relationship with Davos and their own companies. So if you 136 00:08:58,120 --> 00:09:01,000 Speaker 2: look at like who's on these boards words, who hangs 137 00:09:01,040 --> 00:09:04,680 Speaker 2: out with each other, how these culture, how the culture 138 00:09:05,360 --> 00:09:08,679 Speaker 2: of tech wealth works, like Silicon Valley tech wealth. In 139 00:09:08,760 --> 00:09:12,520 Speaker 2: that small group of people responsible for a huge amount 140 00:09:12,559 --> 00:09:16,480 Speaker 2: of money and a huge amount of NGO activity across 141 00:09:16,480 --> 00:09:19,800 Speaker 2: the United States. It's a really small group of people, 142 00:09:19,920 --> 00:09:23,400 Speaker 2: and it's a really small group of people making these decisions, yeah, 143 00:09:23,679 --> 00:09:29,040 Speaker 2: and then and then completely blind to everything else that's 144 00:09:29,120 --> 00:09:34,880 Speaker 2: going on and how their groundwork is being used to 145 00:09:35,040 --> 00:09:40,800 Speaker 2: then enable these other policies, these great reset policies. 146 00:09:42,320 --> 00:09:46,600 Speaker 1: What is this great reset? Who is this Klaus Schwab, Well, 147 00:09:46,920 --> 00:09:49,240 Speaker 1: he's the head of the World Economic Forum. Do you 148 00:09:49,240 --> 00:09:52,319 Speaker 1: want to hear what the tech mafia wives or what 149 00:09:52,600 --> 00:09:57,040 Speaker 1: they're pushing forward with their husband's money? Oh hey, Klaus, 150 00:09:57,160 --> 00:09:58,240 Speaker 1: why don't you tell us so? 151 00:09:58,360 --> 00:10:01,480 Speaker 3: World Economic Form. It's now we're much engaged into this 152 00:10:01,600 --> 00:10:08,079 Speaker 3: initiative of shaping a great reset for the post Corona era. 153 00:10:08,200 --> 00:10:13,280 Speaker 3: Steps we are undertaking to have business leaders accepting the 154 00:10:13,440 --> 00:10:18,360 Speaker 3: report on the ESC's I think we should use the 155 00:10:18,640 --> 00:10:23,959 Speaker 3: social contract as an expression of the transition of one 156 00:10:24,080 --> 00:10:29,640 Speaker 3: world to another world. I think the key native which 157 00:10:29,679 --> 00:10:33,720 Speaker 3: we should have is to move from a society which 158 00:10:33,760 --> 00:10:38,200 Speaker 3: is built on production and consumption to a society which 159 00:10:38,280 --> 00:10:40,720 Speaker 3: is built on caring and sharing. 160 00:10:42,120 --> 00:10:48,120 Speaker 1: Caring and sharing sounds so lovely, doesn't it, And it 161 00:10:48,160 --> 00:10:52,520 Speaker 1: works on the right demographic. Be careful with your baby, girl, 162 00:10:53,760 --> 00:10:57,079 Speaker 1: and be careful with your own body as well, especially 163 00:10:57,080 --> 00:10:59,880 Speaker 1: as you get older. In pain starts to come in. 164 00:11:00,880 --> 00:11:04,319 Speaker 1: Is nobody wants to live with pain, so you try 165 00:11:04,320 --> 00:11:07,480 Speaker 1: to deal with it by masking it. But let me 166 00:11:07,520 --> 00:11:12,600 Speaker 1: ask you, honestly, that thing you take that masks the 167 00:11:12,640 --> 00:11:16,760 Speaker 1: pain for a couple hours. That's not good for you. You 168 00:11:16,640 --> 00:11:19,720 Speaker 1: don't think that's good for you, do you? There needs 169 00:11:19,720 --> 00:11:23,880 Speaker 1: to be a better way. Relief Factor is the better way. 170 00:11:24,600 --> 00:11:28,920 Speaker 1: Over a million people have already tried it. Relief Factor 171 00:11:29,120 --> 00:11:32,959 Speaker 1: is a supplement, a drug free supplement. It was developed 172 00:11:32,960 --> 00:11:37,360 Speaker 1: by doctors. It's got this formula of natural ingredients. It 173 00:11:37,520 --> 00:11:42,240 Speaker 1: helps your body's natural response to pain, so you don't 174 00:11:42,240 --> 00:11:46,400 Speaker 1: wake up rubbing your back every morning. Try it, Just 175 00:11:46,480 --> 00:11:49,439 Speaker 1: try it for three weeks. It's nineteen ninety five one 176 00:11:49,480 --> 00:11:54,079 Speaker 1: eight hundred, the number four relief or relief Factor dot com. 177 00:11:54,679 --> 00:11:55,480 Speaker 1: We'll be back. 178 00:11:57,520 --> 00:12:00,640 Speaker 3: Jesse Kelly Becksion. 179 00:12:02,040 --> 00:12:06,480 Speaker 1: It is the Jesse Kelly Show on a Tuesday. You 180 00:12:06,520 --> 00:12:10,680 Speaker 1: can email us Jesse at Jesse Kellyshow dot com. No, Chris, 181 00:12:10,960 --> 00:12:14,240 Speaker 1: this is a good idea. Listen to me. So Jewish 182 00:12:14,280 --> 00:12:17,320 Speaker 1: producer Chris and I were talking during the break and 183 00:12:17,360 --> 00:12:19,800 Speaker 1: you know, he's one of these nerds, one of these 184 00:12:19,920 --> 00:12:23,960 Speaker 1: mechanic type nerds. He has some sort of an idea 185 00:12:24,040 --> 00:12:26,600 Speaker 1: on how to make the gas engine more efficient? Is 186 00:12:26,640 --> 00:12:30,480 Speaker 1: that it? Chris, I'm not even joking. He reached out 187 00:12:30,520 --> 00:12:35,959 Speaker 1: to Toyota and they never responded. I told him right 188 00:12:36,040 --> 00:12:39,880 Speaker 1: before we got back from break, he needs to make 189 00:12:39,960 --> 00:12:43,560 Speaker 1: some sort of Hiroshima joke. Now listen, I know you 190 00:12:43,640 --> 00:12:46,760 Speaker 1: think that's crass and it's low class, and that may be, 191 00:12:47,320 --> 00:12:53,320 Speaker 1: but it's called an icebreaker, man, It's called an icebreaker. 192 00:12:54,280 --> 00:12:59,160 Speaker 1: You break through the ice with a fairly benign in salt. 193 00:12:59,400 --> 00:13:03,400 Speaker 1: It's being years, it's been decades. I bet they're over 194 00:13:03,520 --> 00:13:08,000 Speaker 1: it by now. You break the ice, you make one 195 00:13:08,120 --> 00:13:11,920 Speaker 1: small atom bomb joke, maybe they reach out in anger 196 00:13:11,960 --> 00:13:15,840 Speaker 1: and then you're all, hey, did you see my gasoline email? 197 00:13:16,400 --> 00:13:22,800 Speaker 1: I'm telling you this works. What all you want me 198 00:13:22,840 --> 00:13:24,680 Speaker 1: to do it? You know I'll do it. Why wouldn't 199 00:13:24,720 --> 00:13:26,400 Speaker 1: I do it? You know all, I'll do it. I'll 200 00:13:26,440 --> 00:13:28,600 Speaker 1: do it. You're on the air. It doesn't matter to me. 201 00:13:29,080 --> 00:13:32,640 Speaker 1: I'll do it. But I'm not the one with gasoline ideas, Chris, 202 00:13:32,800 --> 00:13:35,400 Speaker 1: because I'm not a huge nerd, and that would never 203 00:13:35,480 --> 00:13:39,439 Speaker 1: even occur to me to make improvements to the gasoline engine. 204 00:13:39,559 --> 00:13:42,120 Speaker 1: My gasoline engine does everything I needed to do. I 205 00:13:42,200 --> 00:13:44,720 Speaker 1: put gas in it, and it gets me too and 206 00:13:44,840 --> 00:13:47,120 Speaker 1: from the office. That's all I need from it. Ever, 207 00:13:47,200 --> 00:13:55,360 Speaker 1: what I could get ten percent more miles per gallon. Chris, 208 00:13:57,120 --> 00:14:02,720 Speaker 1: with all due respect, do you really think that you 209 00:14:03,040 --> 00:14:06,760 Speaker 1: have come up with the solution the Japanese have not 210 00:14:06,920 --> 00:14:11,200 Speaker 1: already come up with These people were working smartphones in 211 00:14:11,280 --> 00:14:13,480 Speaker 1: like the fifties or something. I don't know exactly when 212 00:14:13,480 --> 00:14:15,320 Speaker 1: they were all on that, but you know how, everybody, 213 00:14:15,360 --> 00:14:17,240 Speaker 1: by the way, I just want to tell everybody this. 214 00:14:17,480 --> 00:14:20,720 Speaker 1: You know how, everybody, myself included, has a smartphone. Now 215 00:14:23,560 --> 00:14:28,000 Speaker 1: here's the deal. When we were in Japan and the Marines, 216 00:14:28,520 --> 00:14:34,280 Speaker 1: this would have been oh two O two one to 217 00:14:34,320 --> 00:14:36,040 Speaker 1: O two somewhere in there. Somewhere in there, I think 218 00:14:36,080 --> 00:14:39,080 Speaker 1: it was one two thousand and one. Remember remember when 219 00:14:39,120 --> 00:14:43,120 Speaker 1: you got your first cell phone back in two thousand 220 00:14:43,160 --> 00:14:45,000 Speaker 1: and one. I'll just call it two thousand and one. 221 00:14:45,520 --> 00:14:48,440 Speaker 1: When we would hop on the train and go into Tokyo, 222 00:14:50,000 --> 00:14:53,800 Speaker 1: every single Japanese person on the train, and I mean 223 00:14:54,000 --> 00:14:57,640 Speaker 1: every one of them was sitting there with some big 224 00:14:57,840 --> 00:15:00,680 Speaker 1: smartphone in their hands that had I had the keyboard, 225 00:15:00,720 --> 00:15:03,480 Speaker 1: remember the ones that had the actual physical keyboards on it, 226 00:15:03,680 --> 00:15:06,680 Speaker 1: only that that was an advanced thing. Every one of 227 00:15:06,720 --> 00:15:10,240 Speaker 1: them had these things. Chris, So, with all due respect, 228 00:15:10,680 --> 00:15:13,120 Speaker 1: do you think that you have come up with some 229 00:15:13,280 --> 00:15:18,760 Speaker 1: revolutionary concept that will get me ten percent more gallons 230 00:15:19,200 --> 00:15:23,720 Speaker 1: or miles per gallon than the Japanese. Buddy. Come on, 231 00:15:24,360 --> 00:15:27,520 Speaker 1: we all know that's not Look, why don't you stick 232 00:15:27,560 --> 00:15:33,479 Speaker 1: with your particular area, Chris gold and Silver, Maybe medicine, 233 00:15:35,080 --> 00:15:39,200 Speaker 1: the legal profession. I'm not trying to be rude. I'm 234 00:15:39,280 --> 00:15:42,800 Speaker 1: just no, I'm not being rude. I'm just saying, let's 235 00:15:42,920 --> 00:15:47,080 Speaker 1: understand our strengths. Okay, let's understand our strengths. Jesse as 236 00:15:47,200 --> 00:15:50,760 Speaker 1: US Attorney General, Pam Bondi does a disservice to blonds 237 00:15:51,160 --> 00:15:55,000 Speaker 1: by proving that blonde jokes can be true. It's not 238 00:15:55,040 --> 00:16:01,080 Speaker 1: a disservice to blonds. I warned for everybody a long 239 00:16:01,120 --> 00:16:04,800 Speaker 1: time ago, and people from Florida knew this before I 240 00:16:04,880 --> 00:16:11,800 Speaker 1: knew this, that Pam Bondi is establishment GOP. That's what 241 00:16:11,880 --> 00:16:16,160 Speaker 1: she always was. Be always be very careful, and everybody's 242 00:16:16,160 --> 00:16:21,440 Speaker 1: guilty of this. Be careful of projecting your wants and 243 00:16:21,680 --> 00:16:27,360 Speaker 1: needs onto anyone else, let alone a politician, even a 244 00:16:27,440 --> 00:16:31,800 Speaker 1: politician who maybe says the right things from time to time. 245 00:16:33,360 --> 00:16:37,560 Speaker 1: They that's how they get elected. That's how they're trained. 246 00:16:38,200 --> 00:16:41,880 Speaker 1: They're trained to know what you like to know. What 247 00:16:41,920 --> 00:16:44,920 Speaker 1: you want, and then they say it, and then you 248 00:16:45,000 --> 00:16:49,920 Speaker 1: believe them. When Trump got elected again and he started 249 00:16:49,960 --> 00:16:54,320 Speaker 1: putting into place all these reformers and all the horrible 250 00:16:54,360 --> 00:16:56,600 Speaker 1: stuff that had been done to him. You know, they 251 00:16:56,720 --> 00:16:58,240 Speaker 1: tried to kill him and try to throw him in 252 00:16:58,280 --> 00:17:03,760 Speaker 1: prison and things like that. We watched his attorney general pick, well, 253 00:17:03,760 --> 00:17:07,119 Speaker 1: his first one got defeated, Matt Gates. Then he picked 254 00:17:07,160 --> 00:17:11,840 Speaker 1: Pam Bondy, and most likely you're fairly you were at 255 00:17:11,920 --> 00:17:17,199 Speaker 1: least fairly unfamiliar with Pam Bondy. But hey, Trump's picking 256 00:17:17,240 --> 00:17:21,560 Speaker 1: all these reformers. Trump has been shot and framed, and 257 00:17:22,320 --> 00:17:26,879 Speaker 1: surely Donald Trump's attorney general pick is going to be 258 00:17:27,040 --> 00:17:31,400 Speaker 1: this fire breathing anti communist who's going to take all 259 00:17:31,480 --> 00:17:36,240 Speaker 1: these bad actors in DC and throw them into prison. Well, 260 00:17:38,600 --> 00:17:42,040 Speaker 1: that's your thoughts and my thoughts, by the way, those 261 00:17:42,040 --> 00:17:46,880 Speaker 1: are our desires, yours in mind. That doesn't mean that's 262 00:17:46,920 --> 00:17:51,720 Speaker 1: who she is. Do you think at sixty years old 263 00:17:52,480 --> 00:17:54,760 Speaker 1: that's how old she is. Do you think it's sixty 264 00:17:54,840 --> 00:17:58,119 Speaker 1: years old she woke up one morning and decided to 265 00:17:58,200 --> 00:18:02,240 Speaker 1: be a fire breathing anti commonist after a lifetime of 266 00:18:02,359 --> 00:18:08,120 Speaker 1: being fairly establishment. She is what she is. And this 267 00:18:08,160 --> 00:18:11,000 Speaker 1: is why I've encouraged the Trump administration and I will 268 00:18:11,040 --> 00:18:15,959 Speaker 1: continue to encourage them to use ZipRecruiter. It's time to 269 00:18:16,040 --> 00:18:20,080 Speaker 1: find somebody what, Chris, It's time to find somebody new. 270 00:18:20,640 --> 00:18:24,760 Speaker 1: And when you're hiring somebody new, there is no better 271 00:18:24,880 --> 00:18:29,800 Speaker 1: place to go than zip recruiter. There's a reason, mister Trump, 272 00:18:29,840 --> 00:18:33,400 Speaker 1: mister President, there's a reason zip recruiter is the hiring 273 00:18:33,480 --> 00:18:37,959 Speaker 1: site employers prefer the most because they have stacks and 274 00:18:38,160 --> 00:18:42,159 Speaker 1: stacks of qualified candidates waiting for you to get in 275 00:18:42,200 --> 00:18:46,240 Speaker 1: there and post your job. Four out of five employers 276 00:18:46,280 --> 00:18:51,080 Speaker 1: who post on zip recruiter get somebody good. The first day, 277 00:18:52,240 --> 00:18:55,640 Speaker 1: you're frustrated because you can't find that one you're looking for, 278 00:18:55,880 --> 00:18:59,080 Speaker 1: that permanent worker or that temp worker for the Christmas season. 279 00:19:00,480 --> 00:19:02,800 Speaker 1: You haven't tried zip recruiter yet, and you can try 280 00:19:02,840 --> 00:19:08,560 Speaker 1: it for free at ZipRecruiter dot com slash jesse. That's 281 00:19:09,000 --> 00:19:14,800 Speaker 1: ZipRecruiter dot com slash jesse try it for free. All right, 282 00:19:15,600 --> 00:19:18,240 Speaker 1: all right, I'm gonna talk briefly and in the fact, 283 00:19:18,280 --> 00:19:21,040 Speaker 1: speaking of this, we're gonna start talk briefly about smartphones. 284 00:19:21,200 --> 00:19:22,920 Speaker 3: Next Jesse. 285 00:19:23,080 --> 00:19:29,000 Speaker 1: Kelly returns. Next it is the Jesse Kelly Show on 286 00:19:29,040 --> 00:19:32,080 Speaker 1: a Tuesday I ember. If you missed any a single 287 00:19:32,200 --> 00:19:35,360 Speaker 1: second of it, you have to download it on iHeart Spotify. 288 00:19:35,680 --> 00:19:38,280 Speaker 1: I turn in the name of a just merciful gut 289 00:19:38,920 --> 00:19:43,440 Speaker 1: how smartphones expose your kids to predators and why Congress 290 00:19:43,520 --> 00:19:46,120 Speaker 1: must step in. Well, I'm gonna step I'm gonna set 291 00:19:46,160 --> 00:19:49,720 Speaker 1: aside the Congress stepping in part. I'm just gonna do 292 00:19:49,800 --> 00:19:52,959 Speaker 1: a little PSA, Just a little PSA. We'll do some 293 00:19:53,000 --> 00:19:57,840 Speaker 1: emails and some other stuff, taxes and other things. Remember 294 00:19:58,600 --> 00:20:02,560 Speaker 1: that all of us, it's not just children, but children too, 295 00:20:02,760 --> 00:20:06,159 Speaker 1: all of us in this era, we have to deal 296 00:20:06,520 --> 00:20:10,520 Speaker 1: with a problem no other human in the history of 297 00:20:10,560 --> 00:20:15,720 Speaker 1: the world has had to deal with. You are able 298 00:20:15,760 --> 00:20:21,159 Speaker 1: to hold something in your hands that gives you access 299 00:20:21,520 --> 00:20:34,879 Speaker 1: to everything, absolutely everything, the best, the worst, everything. This 300 00:20:35,080 --> 00:20:39,040 Speaker 1: is not something human beings were built to deal with. 301 00:20:40,280 --> 00:20:44,199 Speaker 1: No other person. Isn't that weird? No other generation in 302 00:20:44,240 --> 00:20:48,040 Speaker 1: the history of the world has encountered that problem, and 303 00:20:48,119 --> 00:20:51,720 Speaker 1: I know they've all had their own issues. No generation 304 00:20:51,880 --> 00:20:55,040 Speaker 1: has had to deal with the problem of it's not 305 00:20:55,119 --> 00:20:59,720 Speaker 1: just access to everything, it's access to everything in my 306 00:20:59,760 --> 00:21:02,840 Speaker 1: life hand. It would be bad enough if it was 307 00:21:02,960 --> 00:21:06,120 Speaker 1: just let's say, a home computer, not even a laptop. 308 00:21:06,160 --> 00:21:09,720 Speaker 1: It's just at my home. It's on a desk somewhere 309 00:21:10,520 --> 00:21:15,640 Speaker 1: that would be something. But it's in my pocket. I'm 310 00:21:15,680 --> 00:21:18,880 Speaker 1: holding mine in my hands right now, just I don't 311 00:21:18,880 --> 00:21:21,600 Speaker 1: know why. As an example to for anybody who's watching, 312 00:21:21,720 --> 00:21:27,280 Speaker 1: it's for effect. It's in your hands now. For a 313 00:21:27,640 --> 00:21:33,439 Speaker 1: grown adult, that's a lot. That's probably too much to 314 00:21:33,480 --> 00:21:40,200 Speaker 1: deal with. For a kid man, that's asking too much 315 00:21:40,240 --> 00:21:44,960 Speaker 1: of them. This is not me telling you take away 316 00:21:45,000 --> 00:21:48,040 Speaker 1: your kids' phones. It's not that. It's not that my 317 00:21:48,119 --> 00:21:49,720 Speaker 1: kids have phones. I'm not going to be a huge 318 00:21:49,760 --> 00:21:58,520 Speaker 1: hypocrite here, I'm not. But just understand that and take precautions. Please. Children, 319 00:21:58,680 --> 00:22:01,199 Speaker 1: I mean, adults aren't able to handle this kind of 320 00:22:01,280 --> 00:22:09,119 Speaker 1: information overload. Children have no chance, no chance whatsoever, unless 321 00:22:09,160 --> 00:22:13,399 Speaker 1: you help them. And that's the thing. Unless you're planning 322 00:22:13,440 --> 00:22:16,240 Speaker 1: on going off the grid and moving to the mountains, 323 00:22:17,080 --> 00:22:18,880 Speaker 1: we are going to have to learn how to deal 324 00:22:18,920 --> 00:22:23,200 Speaker 1: with it together, and your children are going to have 325 00:22:23,280 --> 00:22:27,439 Speaker 1: to learn to deal with it. AI is coming that 326 00:22:27,480 --> 00:22:31,760 Speaker 1: the technology is not about to get dumber. The technology 327 00:22:31,920 --> 00:22:35,080 Speaker 1: is about to get unbelievably smart. 328 00:22:35,800 --> 00:22:36,119 Speaker 3: I think I. 329 00:22:36,119 --> 00:22:38,520 Speaker 1: Already maybe told you this, if not tell you right now. 330 00:22:39,800 --> 00:22:43,320 Speaker 1: So AI stuff. I've been learning more and more about 331 00:22:43,440 --> 00:22:46,560 Speaker 1: AI stuff, not because I care about it. I choose 332 00:22:46,600 --> 00:22:49,439 Speaker 1: to not embrace AI at all, but because I know 333 00:22:49,640 --> 00:22:52,440 Speaker 1: it's coming, and I know it's going to be something 334 00:22:52,480 --> 00:22:55,000 Speaker 1: that affects your life and probably affects my life, and 335 00:22:55,040 --> 00:22:58,119 Speaker 1: so I feel an obligation to learn more about it. 336 00:23:00,200 --> 00:23:04,959 Speaker 1: There's already AI technology out there. It already exists. Get this, 337 00:23:05,000 --> 00:23:09,200 Speaker 1: wrap your mind around this that will if you allow 338 00:23:09,240 --> 00:23:14,320 Speaker 1: it access, it will search through your emails and your 339 00:23:14,359 --> 00:23:18,800 Speaker 1: text messages. And let's say, let's say I was texting 340 00:23:18,840 --> 00:23:22,040 Speaker 1: ob earlier, Hey, you want to go out and have 341 00:23:22,160 --> 00:23:24,879 Speaker 1: date night tonight, Let's go out to dinner. I'll take 342 00:23:24,920 --> 00:23:27,680 Speaker 1: you out to dinner, leave the boys at home, and 343 00:23:27,840 --> 00:23:29,879 Speaker 1: she texts me back, yeah, let's do it. So on 344 00:23:29,920 --> 00:23:36,240 Speaker 1: and so forth. The AI technology already exists that can 345 00:23:36,400 --> 00:23:43,400 Speaker 1: learn our habits, read our emails and text messages, and 346 00:23:43,760 --> 00:23:47,399 Speaker 1: after reading the text exchange between my wife and I, 347 00:23:48,320 --> 00:23:52,080 Speaker 1: reaches out to our favorite restaurant and makes a dinner 348 00:23:52,119 --> 00:24:00,960 Speaker 1: reservation for us. That already exists today. Where is that 349 00:24:01,000 --> 00:24:03,639 Speaker 1: ten years from No, I don't know. And if you're 350 00:24:03,680 --> 00:24:06,960 Speaker 1: asking if it worries me. It does, but anyway, that's 351 00:24:06,960 --> 00:24:10,919 Speaker 1: not the point. The point is we are we cannot 352 00:24:11,000 --> 00:24:15,560 Speaker 1: shield our children from technology and from the technological age. 353 00:24:16,600 --> 00:24:19,040 Speaker 1: There are people who believe, and I don't know that 354 00:24:19,080 --> 00:24:22,400 Speaker 1: I necessarily believe this, but there are people who believe this, 355 00:24:23,760 --> 00:24:29,200 Speaker 1: that we are living in the final days where man 356 00:24:29,960 --> 00:24:35,720 Speaker 1: is the main driver on the planet, that robots technology 357 00:24:36,040 --> 00:24:41,680 Speaker 1: AI will essentially take over leading rules in so many 358 00:24:41,760 --> 00:24:44,520 Speaker 1: things and do much of the physical labor. And I know, Chris, 359 00:24:44,560 --> 00:24:46,399 Speaker 1: I don't believe. I don't necessarily go I won't go 360 00:24:46,440 --> 00:24:49,040 Speaker 1: that far either, But there are super smart people who 361 00:24:49,119 --> 00:24:53,520 Speaker 1: believe that wherever we're going, and I don't know, and 362 00:24:53,560 --> 00:24:55,800 Speaker 1: you don't know, nobody probably knows because it's very hard 363 00:24:55,840 --> 00:25:00,320 Speaker 1: to predict these things. Wherever we're going, technology isn't going away. 364 00:25:00,720 --> 00:25:03,080 Speaker 1: So I'm not telling you to move to the mountains 365 00:25:03,080 --> 00:25:05,879 Speaker 1: into a log cabin and get a windmill and go 366 00:25:06,520 --> 00:25:09,280 Speaker 1: go poop in the outhouse. I'm not telling you that, 367 00:25:10,240 --> 00:25:14,640 Speaker 1: but just be careful, okay, with yourself and your children. 368 00:25:15,359 --> 00:25:19,040 Speaker 1: Speaking of pooping in the outhouse, I tell you what 369 00:25:19,080 --> 00:25:23,560 Speaker 1: we're going through on our block. I just got a 370 00:25:23,600 --> 00:25:26,600 Speaker 1: text from Mob. Thirty seconds ago, I got a text 371 00:25:26,600 --> 00:25:31,399 Speaker 1: for Mob the water pressure. I'm sure someone busted a 372 00:25:31,400 --> 00:25:35,800 Speaker 1: water line or something. The water pressure's gone from our block. 373 00:25:36,200 --> 00:25:39,720 Speaker 1: There's no water pressure. And she texted me the blue 374 00:25:39,800 --> 00:25:42,560 Speaker 1: She said, hey, make sure you talk to me before 375 00:25:42,680 --> 00:25:45,840 Speaker 1: using the bathroom when you get home. And I said, well, 376 00:25:46,840 --> 00:25:48,560 Speaker 1: did you have a rough one or something like that. 377 00:25:48,840 --> 00:25:51,719 Speaker 1: She didn't find that that funny, but she said, no, idiot, 378 00:25:51,920 --> 00:25:56,600 Speaker 1: that there's no water pressure. Anyway. I texted her back, Well, 379 00:25:56,600 --> 00:25:59,040 Speaker 1: what if I have to use the bathroom? 380 00:26:00,160 --> 00:26:00,359 Speaker 3: You know what? 381 00:26:00,440 --> 00:26:04,679 Speaker 1: She texted me back, go at work? As if I 382 00:26:04,720 --> 00:26:08,280 Speaker 1: can just program myself to go whenever. What if I 383 00:26:08,320 --> 00:26:09,320 Speaker 1: need to take a shower? 384 00:26:09,680 --> 00:26:10,720 Speaker 2: What if? 385 00:26:11,320 --> 00:26:13,960 Speaker 1: See this is what it was like, Chris. This is 386 00:26:14,000 --> 00:26:17,119 Speaker 1: exactly what it was like for Christopher Columbus and the explorers. 387 00:26:17,119 --> 00:26:19,000 Speaker 1: What are you rolling your eyes for? This is what 388 00:26:19,040 --> 00:26:22,679 Speaker 1: it was like. What Chris? You know what? That's a 389 00:26:22,680 --> 00:26:25,880 Speaker 1: good point, Chris. This is worse than Columbus. He could 390 00:26:25,880 --> 00:26:28,320 Speaker 1: poop in the water. I'm sure he had some sort 391 00:26:28,320 --> 00:26:30,480 Speaker 1: of a system rigged up where he would hang his 392 00:26:30,560 --> 00:26:33,040 Speaker 1: butt over the over the ocean and pooped out on 393 00:26:33,080 --> 00:26:35,840 Speaker 1: all the sharks that used to follow all those ships. Well, 394 00:26:36,680 --> 00:26:38,920 Speaker 1: I don't have an ocean. I don't have any kind 395 00:26:38,920 --> 00:26:41,320 Speaker 1: of a contraption. You know what I do have, though, 396 00:26:42,200 --> 00:26:46,240 Speaker 1: the neighbor's yard. Listen to me, No, listen, Chris. Remember 397 00:26:46,280 --> 00:26:52,119 Speaker 1: this is the neighbor that doesn't mow's lawn, and my 398 00:26:52,240 --> 00:26:56,640 Speaker 1: lawn has mowed all the time. Is there a better revenge? 399 00:26:56,840 --> 00:26:57,640 Speaker 1: Think of what? 400 00:26:57,640 --> 00:27:01,399 Speaker 3: What? You know what? 401 00:27:01,480 --> 00:27:03,760 Speaker 1: That's a good point. The lawn would be more fertilized. 402 00:27:03,880 --> 00:27:04,200 Speaker 3: Crap. 403 00:27:04,320 --> 00:27:07,159 Speaker 1: I didn't even think about that, all right, just on 404 00:27:07,160 --> 00:27:09,920 Speaker 1: his sidewalk. Then forget about the lawn on his sidewalk. 405 00:27:10,080 --> 00:27:13,160 Speaker 1: Problem solved, Problem solve, And if he has any problem 406 00:27:13,200 --> 00:27:16,800 Speaker 1: with that, he can text a friend. Let me tell you, Jesse, 407 00:27:17,440 --> 00:27:19,840 Speaker 1: as much as the murder of your child's goldfish was 408 00:27:19,880 --> 00:27:23,040 Speaker 1: brutal and heartless, it may have been the more humane 409 00:27:23,040 --> 00:27:25,800 Speaker 1: act as a small child. My family and I went 410 00:27:25,840 --> 00:27:28,800 Speaker 1: on vacation over a week with no contingency to feed 411 00:27:28,800 --> 00:27:32,520 Speaker 1: my goldfish. We went to Montana and saw buffalo and bear. 412 00:27:33,080 --> 00:27:36,600 Speaker 1: Upon return, we found my beloved fish in an advanced 413 00:27:36,600 --> 00:27:42,080 Speaker 1: state of decomposition. His little body crumbled as we removed 414 00:27:42,119 --> 00:27:45,520 Speaker 1: it from the watery death chamber. Your son's fish likely 415 00:27:45,560 --> 00:27:47,920 Speaker 1: flopped around for an hour or so in the PVC 416 00:27:48,119 --> 00:27:51,240 Speaker 1: drained system in your house. My fish would have slowly 417 00:27:51,280 --> 00:27:55,520 Speaker 1: died of starvation in his solitary bull in the august heat. 418 00:27:55,920 --> 00:27:59,080 Speaker 1: You're still a terrible person. But I too have goldfish 419 00:27:59,160 --> 00:28:03,840 Speaker 1: blood on my hand, and his name is Dave. I 420 00:28:03,920 --> 00:28:07,320 Speaker 1: had no other choice. I'm not going to pay to 421 00:28:07,400 --> 00:28:10,720 Speaker 1: have somebody come into the house and feed the freaking 422 00:28:10,840 --> 00:28:16,359 Speaker 1: fish that the kid didn't care about? What, Chris, why 423 00:28:16,400 --> 00:28:21,320 Speaker 1: didn't I take the bowl to the neighbor's house. I 424 00:28:21,320 --> 00:28:24,920 Speaker 1: didn't think of it. That's not I chose the only 425 00:28:24,960 --> 00:28:28,000 Speaker 1: path I could think of, Chris, Okay, the only look 426 00:28:29,040 --> 00:28:31,960 Speaker 1: There may be pictures still of old buttery, the fish 427 00:28:32,480 --> 00:28:36,040 Speaker 1: pictures that you can have digitized with Legacy Box is 428 00:28:36,080 --> 00:28:39,400 Speaker 1: the what That's the whole point of Legacy Box. Legacy 429 00:28:39,440 --> 00:28:42,960 Speaker 1: Box will take these home movies. You have those VHS 430 00:28:43,000 --> 00:28:45,200 Speaker 1: tapes that are sitting in a box that are being 431 00:28:45,280 --> 00:28:47,880 Speaker 1: destroyed by the heat and humidity and the cold as 432 00:28:47,920 --> 00:28:52,160 Speaker 1: we speak. The home pictures, I'm talking about the hard 433 00:28:52,200 --> 00:28:55,840 Speaker 1: copy pictures, not the stuff on your phone. Legacy Box 434 00:28:56,080 --> 00:29:01,640 Speaker 1: is the company, the Tennessee company that digitizes that's for you, right, 435 00:29:01,680 --> 00:29:09,160 Speaker 1: now it's their Cyber Week event. Sixty five percent off, 436 00:29:10,080 --> 00:29:15,680 Speaker 1: sixty five percent off. Obviously, supplies are limited, the timeframe 437 00:29:15,840 --> 00:29:21,800 Speaker 1: is limited. Get these memories digitized. Man, There's nothing more 438 00:29:21,800 --> 00:29:26,560 Speaker 1: precious than having my dad's pictures on my phone forever. 439 00:29:27,440 --> 00:29:34,760 Speaker 1: Legacybox dot com slash Jesse legacybox dot com slash Jesse. 440 00:29:35,600 --> 00:29:42,680 Speaker 1: We'll be back, Jesse Kelly. It is the Jesse Kelly Show. 441 00:29:42,720 --> 00:29:45,760 Speaker 1: Final segment of The Jesse Kelly Show. You can email 442 00:29:45,840 --> 00:29:50,160 Speaker 1: us Jesse at Jesse kellyshow dot com. Also, I'm pretty 443 00:29:50,200 --> 00:29:52,880 Speaker 1: sure the state of California should be sued into bankruptcy. 444 00:29:53,920 --> 00:29:56,920 Speaker 1: You see this, These stories keep happening. 445 00:29:57,080 --> 00:30:00,440 Speaker 4: It's an illegal migrant truck driver from India. He charged 446 00:30:00,480 --> 00:30:04,520 Speaker 4: with negligent homicide after allegedly killing two people in a 447 00:30:04,600 --> 00:30:08,120 Speaker 4: crash in Bend, Oregon last week. Ice has lodged a 448 00:30:08,160 --> 00:30:10,720 Speaker 4: detainer for his arrest. They say he entered the US 449 00:30:10,760 --> 00:30:14,600 Speaker 4: illegally and was released back into the country under President Biden, 450 00:30:14,920 --> 00:30:18,440 Speaker 4: and he obtained a commercial driver's license from California. 451 00:30:20,360 --> 00:30:23,880 Speaker 1: The largest, richest, most powerful state in the United States 452 00:30:23,880 --> 00:30:31,840 Speaker 1: of America, provides sanctuary and commercial drivers' licenses to illegals 453 00:30:31,880 --> 00:30:35,120 Speaker 1: who don't even know the laws of the road. They 454 00:30:35,200 --> 00:30:38,920 Speaker 1: then get in these gigantic weapons and get out on 455 00:30:39,000 --> 00:30:43,960 Speaker 1: the highway with your children and kill Americans. Have you 456 00:30:44,120 --> 00:30:47,440 Speaker 1: let me ask you something, how many foreign countries have 457 00:30:47,520 --> 00:30:52,280 Speaker 1: you been to? Have you ever been on the roads 458 00:30:52,520 --> 00:30:56,080 Speaker 1: of a foreign country? I'm not talking about Canada, that 459 00:30:56,120 --> 00:31:03,360 Speaker 1: doesn't count really a foreign country. It's horrifying the way 460 00:31:03,360 --> 00:31:08,680 Speaker 1: people drive. And I'm an aggressive, fast driver, and I 461 00:31:08,720 --> 00:31:13,040 Speaker 1: don't get car nervous or car sick, and I am 462 00:31:13,400 --> 00:31:18,960 Speaker 1: mortified at how foreign countries drive. No rules of the road, no, no, 463 00:31:18,960 --> 00:31:22,800 Speaker 1: none of that stuff. Well, they come over here because 464 00:31:22,800 --> 00:31:26,680 Speaker 1: Democrats bring them to the country illegally, and then Blue 465 00:31:26,760 --> 00:31:32,239 Speaker 1: States hand these people drivers' licenses for big rigs, and 466 00:31:32,280 --> 00:31:36,440 Speaker 1: they go out on the highway and kill your loved ones, 467 00:31:36,720 --> 00:31:41,120 Speaker 1: your family members. Tell me why California shouldn't be sued 468 00:31:41,920 --> 00:31:47,200 Speaker 1: into oblivion? And I know we're not going to get 469 00:31:47,240 --> 00:31:50,600 Speaker 1: this from the Trump administration. And that's not an insult again, 470 00:31:50,720 --> 00:31:54,840 Speaker 1: because he's step one in the thousand step anti communist process. 471 00:31:54,960 --> 00:32:01,520 Speaker 1: I get this, But how does a single federal still 472 00:32:01,640 --> 00:32:07,160 Speaker 1: flow to states that allow this kind of nonsense? How 473 00:32:07,280 --> 00:32:12,719 Speaker 1: is that humanly possible? You could almost look at that 474 00:32:13,440 --> 00:32:18,040 Speaker 1: as an act of insurrection by a state to provide 475 00:32:18,120 --> 00:32:22,320 Speaker 1: commercial drivers' licenses to illegals who don't know the laws 476 00:32:22,360 --> 00:32:25,120 Speaker 1: of the road, don't care about the laws of the road, 477 00:32:25,480 --> 00:32:28,080 Speaker 1: and this is while they're providing them welfare with your money. 478 00:32:28,120 --> 00:32:32,240 Speaker 5: But twenty one states, including California, New York, and Minnesota, 479 00:32:32,360 --> 00:32:36,920 Speaker 5: the Blue States, continued to say no. So as of 480 00:32:37,120 --> 00:32:40,560 Speaker 5: next week, we have begun and will begin to stop 481 00:32:40,880 --> 00:32:44,360 Speaker 5: moving federal funds into those states until they comply and 482 00:32:44,440 --> 00:32:46,840 Speaker 5: they tell us and allow us to partner with them 483 00:32:47,160 --> 00:32:50,480 Speaker 5: to root out this fraud and to protect the American taxpayer. 484 00:32:51,080 --> 00:32:53,400 Speaker 1: But of course we know who the Blue states, what 485 00:32:53,480 --> 00:32:56,320 Speaker 1: the Democrat states, We know who they're interested in protecting. 486 00:32:57,000 --> 00:33:01,240 Speaker 1: It's not you. You're the problem, you see, You're the patriot. 487 00:33:01,640 --> 00:33:05,640 Speaker 1: You're what holds them back. Who are they protecting, Well, 488 00:33:06,520 --> 00:33:08,040 Speaker 1: they're constituents. Kelsey and Ready. 489 00:33:08,080 --> 00:33:11,000 Speaker 6: A judge sentenced the Minneapolis man in those cases back 490 00:33:11,000 --> 00:33:13,360 Speaker 6: in May, but he got credit for time served, so 491 00:33:13,440 --> 00:33:15,320 Speaker 6: he never went to prison. It was all part of 492 00:33:15,360 --> 00:33:17,520 Speaker 6: a pair of plea deals. This is the man we're 493 00:33:17,560 --> 00:33:21,120 Speaker 6: talking about. His name is ab De Mahat Billy Muhammad. 494 00:33:21,200 --> 00:33:23,920 Speaker 6: But Prosecutors say the twenty eight year old uses the 495 00:33:23,960 --> 00:33:27,760 Speaker 6: names Kareem and Altesto on Snapchat, and that is where 496 00:33:27,760 --> 00:33:30,880 Speaker 6: investigators say he met his latest victim, as well as 497 00:33:30,880 --> 00:33:34,160 Speaker 6: his two previous ones. Prosecutors say he picked up his 498 00:33:34,240 --> 00:33:37,280 Speaker 6: most recent victim in man Cato back in September and 499 00:33:37,400 --> 00:33:39,920 Speaker 6: drove her to a hotel near the Mall of America, 500 00:33:40,000 --> 00:33:43,320 Speaker 6: where he took her phone, told her she wasn't leaving, 501 00:33:43,600 --> 00:33:46,280 Speaker 6: raped her, and held her against her will for days. 502 00:33:46,280 --> 00:33:50,520 Speaker 6: That's according to prosecutors. Investigators used DNA to identify Mohammed 503 00:33:50,600 --> 00:33:54,280 Speaker 6: as the suspect. His profile was already in the database 504 00:33:54,320 --> 00:33:58,160 Speaker 6: from previous cases involving sexual assaults in Minneapolis in twenty 505 00:33:58,200 --> 00:34:01,080 Speaker 6: seventeen and another one in twenty twenty four. 506 00:34:01,720 --> 00:34:06,360 Speaker 1: Brought to this country by Democrats, given legal protection by democrats, 507 00:34:06,760 --> 00:34:12,319 Speaker 1: given your money by democrats. Freaking evil man. Now, before 508 00:34:12,360 --> 00:34:15,880 Speaker 1: I go to headlines, I didn't get to. I wanted 509 00:34:15,920 --> 00:34:20,280 Speaker 1: to let you know something. It's hard to find inflation 510 00:34:20,480 --> 00:34:23,680 Speaker 1: relief out there. I get that. I'm not going to 511 00:34:23,840 --> 00:34:26,080 Speaker 1: be labor the point that I've made many times before. 512 00:34:27,760 --> 00:34:31,920 Speaker 1: Consider that the prices in red states are much lower. 513 00:34:31,960 --> 00:34:34,600 Speaker 1: It's not just better legal protection. It's not just a 514 00:34:34,600 --> 00:34:39,120 Speaker 1: better form of government. Tax is lower regulations, lower fees, 515 00:34:39,239 --> 00:34:43,879 Speaker 1: lower if you, if you, if you, if you can 516 00:34:43,880 --> 00:34:46,040 Speaker 1: do it with your job, with your family, If it's 517 00:34:46,080 --> 00:34:49,719 Speaker 1: possible for you, and you're looking to have your money 518 00:34:49,719 --> 00:34:54,400 Speaker 1: go a little further, consider a red state. You know, 519 00:34:55,400 --> 00:34:58,439 Speaker 1: you know what gas is here two dollars and thirty 520 00:34:58,480 --> 00:35:01,120 Speaker 1: cents a gallon. Thanks for that tidbit. Yeah, no, I 521 00:35:01,200 --> 00:35:03,120 Speaker 1: drove by last night, Chris. It was two twenty nine, 522 00:35:03,480 --> 00:35:06,799 Speaker 1: two twenty nine gallon. There's something to think about. And 523 00:35:06,880 --> 00:35:09,680 Speaker 1: now here's a headline by oh, you know, you know 524 00:35:09,800 --> 00:35:17,200 Speaker 1: the thing headlines we didn't get to. Democrat Chris van 525 00:35:17,320 --> 00:35:21,759 Speaker 1: Holland breathes life into years old hoax in the aftermath 526 00:35:21,840 --> 00:35:24,839 Speaker 1: of National Guard shooting. This is the hoax where they 527 00:35:24,840 --> 00:35:28,840 Speaker 1: said Trump called our troops suckers and losers. Remember that 528 00:35:29,239 --> 00:35:32,960 Speaker 1: Democrats live in a world of make believe. That make believe. 529 00:35:33,000 --> 00:35:37,480 Speaker 1: It's carefully created and maintained for them by the American media, 530 00:35:37,840 --> 00:35:42,560 Speaker 1: the university system, and Democrat politicians. It's why it's almost 531 00:35:42,600 --> 00:35:46,120 Speaker 1: completely pointless to have an argument with your liberal AMT Peggy, 532 00:35:46,360 --> 00:35:49,560 Speaker 1: because liberal AMT Peggy is one hundred percent certain of 533 00:35:49,640 --> 00:35:52,440 Speaker 1: so many things that are not true at all. It 534 00:35:52,480 --> 00:35:56,280 Speaker 1: would be like arguing with your dog. Peru presidential hopeful 535 00:35:56,640 --> 00:36:00,920 Speaker 1: escapes gun attack unscathed. There are parts of the world 536 00:36:01,239 --> 00:36:07,080 Speaker 1: where politicians are routinely assassinated, and I am afraid that 537 00:36:07,160 --> 00:36:10,680 Speaker 1: we are approaching that way really really quickly, really really quickly. 538 00:36:10,680 --> 00:36:14,400 Speaker 1: We all remember what happened last election. Employees say Harris 539 00:36:14,760 --> 00:36:19,719 Speaker 1: chose Walls despite repeated fraud warnings in Minnesota. Why would 540 00:36:19,760 --> 00:36:23,439 Speaker 1: Kamala Harris be worried about the fraud warnings of Tim 541 00:36:23,480 --> 00:36:25,960 Speaker 1: Walls and what's going on in his state when she 542 00:36:26,080 --> 00:36:29,319 Speaker 1: knew for a fact the mainstream media would cover up 543 00:36:29,360 --> 00:36:32,600 Speaker 1: those warnings of fraud and do whatever they had to 544 00:36:32,600 --> 00:36:35,640 Speaker 1: do to ensure Tim Walls got into the White House 545 00:36:35,680 --> 00:36:39,440 Speaker 1: with Dome so they could continue the communist destruction of America. 546 00:36:39,560 --> 00:36:45,360 Speaker 1: Bernie Sanders and Zoorron Mamdani join Starbucks Barista strike. I 547 00:36:45,440 --> 00:36:48,319 Speaker 1: gotta be honest with you. Starbucks has long been one 548 00:36:48,360 --> 00:36:52,520 Speaker 1: of these lefty lib garbage comedy companies, So watching the 549 00:36:52,560 --> 00:36:57,520 Speaker 1: communists from within have this huge internal revolt about unionization 550 00:36:57,760 --> 00:37:01,960 Speaker 1: and making life miserable for them, it's just endlessly hilarious 551 00:37:02,000 --> 00:37:04,279 Speaker 1: to me. I hope it goes on forever. I think 552 00:37:04,320 --> 00:37:09,400 Speaker 1: it's wonderful now. I will be back again tomorrow. Let's 553 00:37:09,400 --> 00:37:11,680 Speaker 1: hope we're not at war with Venezuela by the time 554 00:37:11,719 --> 00:37:15,399 Speaker 1: we get back here. All right, that's all