1 00:00:01,880 --> 00:00:06,200 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,240 --> 00:00:10,760 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty arm Strong 3 00:00:10,840 --> 00:00:17,640 Speaker 1: and Jettie and he Armstrong and Yetty. 4 00:00:23,239 --> 00:00:23,439 Speaker 2: Two. 5 00:00:23,520 --> 00:00:24,319 Speaker 1: Thanks one. 6 00:00:25,800 --> 00:00:28,680 Speaker 3: P Diddy's girlfriend has taking the stand in that trial, 7 00:00:28,720 --> 00:00:32,199 Speaker 3: and we're monitoring that and if she corroborates some of 8 00:00:32,200 --> 00:00:35,199 Speaker 3: the horrifying testimony from yesterday or says anything exciting, will 9 00:00:35,200 --> 00:00:38,720 Speaker 3: pass that along to you. Also, I'm liking this conversation 10 00:00:38,800 --> 00:00:42,440 Speaker 3: that's catching on online of Hey, the French gave us 11 00:00:42,479 --> 00:00:45,120 Speaker 3: the Statue of Liberty as a gift, Why Kate Katar 12 00:00:45,200 --> 00:00:45,720 Speaker 3: give us a. 13 00:00:45,640 --> 00:00:47,520 Speaker 1: Plane as a gift? What's the deal? 14 00:00:48,280 --> 00:00:51,640 Speaker 4: As a as an argument, So that's yeah, that's interesting, 15 00:00:51,720 --> 00:00:54,200 Speaker 4: and there are ethical questions here, but I feel like 16 00:00:54,240 --> 00:00:55,360 Speaker 4: they can be resolved. 17 00:00:55,400 --> 00:00:58,600 Speaker 3: I just so we brought this up, and it's always 18 00:00:58,640 --> 00:01:01,120 Speaker 3: been true of Trump. I mean from day one, I've 19 00:01:01,120 --> 00:01:03,480 Speaker 3: been pointing this out, how he often steps on such 20 00:01:03,560 --> 00:01:04,039 Speaker 3: good news. 21 00:01:04,080 --> 00:01:05,520 Speaker 1: So they he had the. 22 00:01:07,560 --> 00:01:12,560 Speaker 3: Prescription Executive Order yesterday lower the cost of prescriptions, which 23 00:01:12,560 --> 00:01:15,200 Speaker 3: should be a huge, like news cycle win for you 24 00:01:16,000 --> 00:01:18,160 Speaker 3: and maybe the whole trade thing coming to an end. 25 00:01:18,680 --> 00:01:20,720 Speaker 3: And you know, it ended up being for a lot 26 00:01:20,720 --> 00:01:23,120 Speaker 3: of the dominant media. The whole receiving a plane from 27 00:01:23,200 --> 00:01:25,720 Speaker 3: Qatar was the Yeah, obliterated it. 28 00:01:26,560 --> 00:01:27,480 Speaker 1: Yeah. Yeah. 29 00:01:27,520 --> 00:01:30,640 Speaker 4: The drug price thing is an interesting topic too. Maybe 30 00:01:30,640 --> 00:01:32,720 Speaker 4: we'll take that on at some point today or tomorrow. 31 00:01:33,880 --> 00:01:37,440 Speaker 4: You know how much can actually be done, but we'll 32 00:01:37,520 --> 00:01:39,800 Speaker 4: keep you up to date on various stuff as it develops. 33 00:01:40,000 --> 00:01:42,160 Speaker 3: Well, and it was an executive order. I just came 34 00:01:42,200 --> 00:01:45,240 Speaker 3: across this from Sarah Iger of The Dispatch. Trump's has 35 00:01:45,319 --> 00:01:49,240 Speaker 3: signed five bills into law in the first one hundred days, 36 00:01:49,240 --> 00:01:51,960 Speaker 3: the fewest of any president since at least the fifties 37 00:01:52,400 --> 00:01:55,680 Speaker 3: might be earlier than that, which means and everything that 38 00:01:55,720 --> 00:01:58,360 Speaker 3: has been accomplished can be reversed with the stroke of 39 00:01:58,400 --> 00:01:59,440 Speaker 3: a pen by the next president. 40 00:02:00,160 --> 00:02:03,440 Speaker 4: I didn't want to do to your hopes. What did 41 00:02:03,440 --> 00:02:06,080 Speaker 4: he and his pals did to his ex girlfriend? 42 00:02:06,240 --> 00:02:09,359 Speaker 1: Oh my god, it's raining exactly. 43 00:02:09,800 --> 00:02:12,080 Speaker 4: But yeah, there's a limited amount that he can actually 44 00:02:12,120 --> 00:02:15,560 Speaker 4: do and and and where this ends is probably not 45 00:02:15,680 --> 00:02:19,760 Speaker 4: anywhere near the promise. But anyway, having said that, I've 46 00:02:19,760 --> 00:02:21,480 Speaker 4: been wanting to talk about this for a little while. 47 00:02:21,560 --> 00:02:25,480 Speaker 4: That Colorado, which is in so many ways of wonderful state, 48 00:02:25,520 --> 00:02:27,880 Speaker 4: I mean, just scenic as can be and for the 49 00:02:27,880 --> 00:02:32,640 Speaker 4: longest time just normal, you know, just the great plains, 50 00:02:32,760 --> 00:02:36,000 Speaker 4: good hard working, normal people. You get a little artsy 51 00:02:36,080 --> 00:02:39,280 Speaker 4: FARTSI around Denver and but it's just it's a I 52 00:02:39,360 --> 00:02:42,520 Speaker 4: love Colorado, I always have since the first time I 53 00:02:42,560 --> 00:02:43,040 Speaker 4: was I was. 54 00:02:43,000 --> 00:02:45,120 Speaker 1: There, and gorge and more. 55 00:02:47,680 --> 00:02:51,919 Speaker 4: But it has gone full on woke lunatic right now. 56 00:02:52,440 --> 00:02:57,200 Speaker 4: A few examples and and particularly from the Department of 57 00:02:57,240 --> 00:03:02,560 Speaker 4: gender bending madness. It's called tolerance. As this person is 58 00:03:02,960 --> 00:03:05,040 Speaker 4: pointing out Lathan Watson. We'll get to some of his 59 00:03:05,120 --> 00:03:08,240 Speaker 4: words in a couple of minutes. But what they're tolerating 60 00:03:08,480 --> 00:03:13,160 Speaker 4: is mutilating procedures that put radical ideology ahead of children's health. 61 00:03:13,400 --> 00:03:17,120 Speaker 4: This is all about kids and the so called gender 62 00:03:17,120 --> 00:03:22,200 Speaker 4: affirming care, which is radical gender theory experimentation on healthy 63 00:03:22,240 --> 00:03:25,680 Speaker 4: young bodies. It's disgusting. But there's this one house build 64 00:03:25,720 --> 00:03:28,360 Speaker 4: that would require insurance companies. It would force them to 65 00:03:28,400 --> 00:03:31,040 Speaker 4: cover so called gender affirming drugs and procedures for both 66 00:03:31,120 --> 00:03:35,200 Speaker 4: children and adults, including puberty blockers, cross sex hormones, and 67 00:03:35,240 --> 00:03:39,920 Speaker 4: their removal of healthy breasts and genitalia. Insurance companies are 68 00:03:39,960 --> 00:03:42,120 Speaker 4: forced to cover that. Here's a different build that would 69 00:03:42,160 --> 00:03:48,600 Speaker 4: require courts to consider actions like misgendering a child or 70 00:03:48,840 --> 00:03:53,520 Speaker 4: using your child's actual name. It would require courts to 71 00:03:53,680 --> 00:03:57,640 Speaker 4: consider that a form of coercive control, which is a 72 00:03:57,680 --> 00:03:59,600 Speaker 4: euphemism for child abuse. 73 00:04:00,000 --> 00:04:01,480 Speaker 3: I would never hold up, but it would sure be 74 00:04:01,520 --> 00:04:04,000 Speaker 3: a nightmare going through the process until you challenged it 75 00:04:04,040 --> 00:04:04,520 Speaker 3: in rue. 76 00:04:05,560 --> 00:04:09,640 Speaker 4: But in child custody decisions. Oh, be horrible. That's because 77 00:04:09,920 --> 00:04:11,800 Speaker 4: that's what that was. Yeah, that was the rest of 78 00:04:11,840 --> 00:04:13,840 Speaker 4: the sentence. That's where they're using this. 79 00:04:14,440 --> 00:04:14,600 Speaker 1: Now. 80 00:04:14,640 --> 00:04:19,240 Speaker 4: Wait a second, Dad still calls Jimmy jimmy, so he should. 81 00:04:19,040 --> 00:04:21,160 Speaker 1: Definitely lose customs. Oh my god. 82 00:04:21,680 --> 00:04:24,200 Speaker 4: And if another if a court from another state gives 83 00:04:24,200 --> 00:04:27,599 Speaker 4: custody to a parent who affirms the child's biological sex, 84 00:04:27,920 --> 00:04:31,359 Speaker 4: a bill directs Colorado courts to ignore that decision and 85 00:04:31,480 --> 00:04:33,839 Speaker 4: instead a word custody of the parent who pushes the 86 00:04:33,920 --> 00:04:39,600 Speaker 4: child toward transition, purely because they pushed the child toward transition. 87 00:04:40,000 --> 00:04:44,800 Speaker 4: You crazy people, right, and anybody who believes in you know, 88 00:04:45,360 --> 00:04:49,279 Speaker 4: as for instance, the Gaze against Groomer's group says, we 89 00:04:49,400 --> 00:04:52,280 Speaker 4: believe children are perfect as they are. They don't need 90 00:04:52,360 --> 00:04:56,080 Speaker 4: drugs and hormones and surgery. They are what they ought 91 00:04:56,120 --> 00:05:00,600 Speaker 4: to be anyway, And if parents seek compassionate cou for 92 00:05:00,640 --> 00:05:03,000 Speaker 4: their child, and this is going to be brought home 93 00:05:03,040 --> 00:05:06,040 Speaker 4: to roost with some audio we're about to play for you. 94 00:05:07,440 --> 00:05:07,840 Speaker 1: If the. 95 00:05:09,320 --> 00:05:12,680 Speaker 4: Parents say, my kid was the victim of something, or 96 00:05:12,760 --> 00:05:15,400 Speaker 4: is confused, or has been led down the path of 97 00:05:15,520 --> 00:05:21,360 Speaker 4: radicalism by teachers or activists, any counselor who speaks any 98 00:05:21,480 --> 00:05:26,400 Speaker 4: message in Colorado that know you are what you should be. 99 00:05:26,560 --> 00:05:29,120 Speaker 4: You are made that way by God. Let's come to 100 00:05:29,240 --> 00:05:32,760 Speaker 4: terms with whatever's bothering you. But you're a boy, that 101 00:05:33,040 --> 00:05:36,880 Speaker 4: counselor can be subject to steep finds and can lose 102 00:05:36,960 --> 00:05:38,240 Speaker 4: his or her license. 103 00:05:39,040 --> 00:05:41,360 Speaker 1: I'm hoping this is the last gasp of this sort 104 00:05:41,360 --> 00:05:41,640 Speaker 1: of thing. 105 00:05:42,200 --> 00:05:47,080 Speaker 4: I really hope. So this is awful. It's unspeakably. People 106 00:05:47,120 --> 00:05:50,680 Speaker 4: are so crazy. It's just it's just it's amazing how 107 00:05:50,800 --> 00:05:51,880 Speaker 4: crazy people. 108 00:05:51,560 --> 00:05:53,120 Speaker 1: Can get well. 109 00:05:53,760 --> 00:05:56,799 Speaker 4: And then the Nathan points out that, as Colorado's recent 110 00:05:56,839 --> 00:06:00,240 Speaker 4: history demonstrates, bad legislation often leads to good case law law. 111 00:06:00,720 --> 00:06:04,039 Speaker 4: So but his point, and it's so sad if you 112 00:06:04,080 --> 00:06:08,000 Speaker 4: think about it, is how many more confused adolescent kids 113 00:06:08,040 --> 00:06:12,440 Speaker 4: are going to be victimized before these cases get overturned. 114 00:06:12,440 --> 00:06:13,880 Speaker 1: And these horrifying laws. 115 00:06:14,520 --> 00:06:16,400 Speaker 4: You know, are exposed to the light of day, and 116 00:06:17,120 --> 00:06:19,960 Speaker 4: you know, and I'll just say this very briefly, Europe, 117 00:06:20,160 --> 00:06:22,640 Speaker 4: the US, everywhere that looks at this stuff says this 118 00:06:22,680 --> 00:06:25,799 Speaker 4: does not help kids, that there is no scientific evidence 119 00:06:25,839 --> 00:06:30,120 Speaker 4: that these experiments should continue on children. There is none anyway. 120 00:06:30,200 --> 00:06:32,320 Speaker 4: Having said that, this is. 121 00:06:33,880 --> 00:06:34,560 Speaker 1: A woman named. 122 00:06:34,400 --> 00:06:39,680 Speaker 4: Brandy Cruz who's talking to Anna, who was I think 123 00:06:39,960 --> 00:06:42,640 Speaker 4: a guy who was convinced that they were a girl. 124 00:06:43,960 --> 00:06:46,960 Speaker 1: And they use the term CSA a couple of times. 125 00:06:46,960 --> 00:06:50,279 Speaker 4: It's childhood's sexual assault that gets clarified later, but I 126 00:06:50,320 --> 00:06:52,159 Speaker 4: just want you to understand that. So Michael, we'll start 127 00:06:52,200 --> 00:06:55,159 Speaker 4: with thirty. This is a Brandy Cruz talking to Anna. 128 00:06:55,640 --> 00:06:58,159 Speaker 5: Doctors told me that what was wrong with me and 129 00:06:58,200 --> 00:07:01,240 Speaker 5: how I felt about my body was not from CSA, 130 00:07:01,400 --> 00:07:03,960 Speaker 5: even though I went there and said, did CSA make 131 00:07:04,040 --> 00:07:07,359 Speaker 5: me this way? Yes, it's a childhood sexual assault and 132 00:07:07,440 --> 00:07:10,200 Speaker 5: they said no. They said no. They said being gay 133 00:07:10,200 --> 00:07:12,440 Speaker 5: as innate and being trans as an eight and what 134 00:07:12,520 --> 00:07:15,680 Speaker 5: you have is gender identity disorder. They diagnosed me with 135 00:07:15,720 --> 00:07:18,880 Speaker 5: gender dysphoria. And I believed their books for about seventeen years. 136 00:07:19,960 --> 00:07:23,080 Speaker 4: So they said no, no, no, childhood sexual trauma could 137 00:07:23,080 --> 00:07:26,400 Speaker 4: make you feel uncomfortable with your body. No, it's innate, 138 00:07:26,520 --> 00:07:28,680 Speaker 4: it's born in you. You are transgendent. 139 00:07:28,800 --> 00:07:31,280 Speaker 3: Where now they come up with these letters for these 140 00:07:32,080 --> 00:07:35,360 Speaker 3: like really you know, rough situations, to try to make 141 00:07:35,400 --> 00:07:36,600 Speaker 3: them so academic. 142 00:07:37,200 --> 00:07:39,520 Speaker 1: Yeah, let's not. Let's call it word it is. Yeah, 143 00:07:39,720 --> 00:07:42,400 Speaker 1: roll on, Michael, are you willing to tell me everything 144 00:07:42,440 --> 00:07:43,160 Speaker 1: that you went through? 145 00:07:43,320 --> 00:07:47,280 Speaker 5: I had facial feminization surgery. I had sex reassignment surgery. 146 00:07:47,600 --> 00:07:50,680 Speaker 5: I was on HRT for seventeen years. Now I'm on 147 00:07:50,720 --> 00:07:53,200 Speaker 5: a combo dose because I can't go off. I have 148 00:07:53,720 --> 00:07:57,840 Speaker 5: multiple health conditions from transitioning young and for transitioning for 149 00:07:57,880 --> 00:07:58,400 Speaker 5: so long. 150 00:07:59,400 --> 00:08:01,160 Speaker 1: Oh my god, that poor person. 151 00:08:01,200 --> 00:08:02,640 Speaker 3: I saw somebody the other day in one of those 152 00:08:02,680 --> 00:08:05,840 Speaker 3: TikTok videos that had had just got their atom app 153 00:08:05,960 --> 00:08:07,480 Speaker 3: Adam's apple shaved. 154 00:08:08,400 --> 00:08:09,720 Speaker 1: That's got to be quite the process. 155 00:08:09,920 --> 00:08:16,120 Speaker 4: And oh so this poor confused child rape victim convinced 156 00:08:16,120 --> 00:08:18,400 Speaker 4: that no, it's your transgender at his healthy penis and 157 00:08:18,400 --> 00:08:24,040 Speaker 4: testicles removed, jabbed with powerful hormones, which now she I 158 00:08:24,040 --> 00:08:26,800 Speaker 4: don't know how, I don't remember how Anna chooses to live. 159 00:08:26,840 --> 00:08:30,840 Speaker 4: I think is a woman at this point, because they 160 00:08:31,040 --> 00:08:33,560 Speaker 4: have such terrible hormonal imbalances. They've got to take these 161 00:08:33,640 --> 00:08:35,400 Speaker 4: powerful hormones for the rest of their lives. 162 00:08:35,640 --> 00:08:38,400 Speaker 1: Rollan, what was it for you that kind of woke 163 00:08:38,440 --> 00:08:40,400 Speaker 1: you up to This isn't what I should have done. 164 00:08:40,960 --> 00:08:45,520 Speaker 5: I found out that homosexual transition was environmentally caused in 165 00:08:45,559 --> 00:08:49,040 Speaker 5: almost every single case by a childhood sexual assault or 166 00:08:49,080 --> 00:08:50,640 Speaker 5: by internalized homophobia. 167 00:08:50,760 --> 00:08:51,840 Speaker 1: Failed boy syndrome. 168 00:08:51,920 --> 00:08:55,439 Speaker 5: I was given a blanket diagnosis given anybody who has 169 00:08:55,480 --> 00:08:57,959 Speaker 5: a body issue as a child nowadays. 170 00:08:57,960 --> 00:08:59,280 Speaker 1: Failed the boy syndrome. 171 00:09:00,040 --> 00:09:01,720 Speaker 4: Yeah, I know there are a lot of technical terms 172 00:09:01,760 --> 00:09:04,120 Speaker 4: in this, but it is if you are uncomfortable with 173 00:09:04,160 --> 00:09:07,440 Speaker 4: your body, you're uncomfortable, you're attracted guys. Whatever, It's a 174 00:09:07,480 --> 00:09:10,680 Speaker 4: blanket diagnosis these days, says Anna roll On. 175 00:09:11,040 --> 00:09:14,920 Speaker 6: How do you find your story received by people who 176 00:09:15,160 --> 00:09:18,200 Speaker 6: continue to sort of push medicalization? 177 00:09:18,679 --> 00:09:21,400 Speaker 5: If they hate me, They call me a bigot, They 178 00:09:21,440 --> 00:09:24,160 Speaker 5: say that trans women are women, they say that gender 179 00:09:24,200 --> 00:09:26,520 Speaker 5: dysphoria is a valid diagnosis. 180 00:09:26,840 --> 00:09:28,600 Speaker 1: And god forbid, You're. 181 00:09:28,400 --> 00:09:31,640 Speaker 5: A feminate and you believe that something's wrong with you 182 00:09:31,679 --> 00:09:34,720 Speaker 5: as a man because you like pretty things and are sassy. 183 00:09:35,240 --> 00:09:37,000 Speaker 1: So how do you how do you identify nout? 184 00:09:37,120 --> 00:09:37,719 Speaker 5: I'm a gay man. 185 00:09:37,960 --> 00:09:40,920 Speaker 1: Have you lost friends or anyone by de transitioning. 186 00:09:41,400 --> 00:09:43,760 Speaker 5: If I was canceled by every friend I had who 187 00:09:43,880 --> 00:09:46,079 Speaker 5: was liberal in this city and had to leave the city. 188 00:09:46,440 --> 00:09:50,079 Speaker 4: Oh, they hate me, they call me a bigot. Can 189 00:09:50,120 --> 00:09:51,520 Speaker 4: you imagine that last clip? 190 00:09:52,400 --> 00:09:53,680 Speaker 1: Why is it important for you to be here? 191 00:09:54,200 --> 00:09:56,760 Speaker 5: Because people are being lied to and they're being diagnosed. 192 00:09:56,800 --> 00:09:59,920 Speaker 5: They're not being diagnosed with what actually causes the gender disport. 193 00:10:00,000 --> 00:10:03,040 Speaker 5: They're just being diagnosed with a symptom of a problem. 194 00:10:03,160 --> 00:10:06,240 Speaker 5: And there are multiple problems that cause those symptoms. And 195 00:10:06,280 --> 00:10:09,760 Speaker 5: when you don't appropriately diagnose people, you lead them into 196 00:10:09,800 --> 00:10:12,560 Speaker 5: a life of ruin. All of these interventions are permanent, 197 00:10:12,640 --> 00:10:14,920 Speaker 5: they're irreversible, and they lied to me. 198 00:10:15,920 --> 00:10:18,200 Speaker 1: There's a huge scandal going on in the UK right now. 199 00:10:18,400 --> 00:10:22,439 Speaker 4: Scotland's top social worker has now come out against the 200 00:10:22,559 --> 00:10:26,560 Speaker 4: powers that be and she was also the director of 201 00:10:26,600 --> 00:10:29,600 Speaker 4: the Scottish Child Law Center and said care bosses that's 202 00:10:29,640 --> 00:10:34,200 Speaker 4: the welfare essentially failed to uphold existing equality lawns stood 203 00:10:34,200 --> 00:10:38,040 Speaker 4: by way. Social workers who bravely challenged gender ideology were 204 00:10:38,040 --> 00:10:41,880 Speaker 4: bullied and lost jobs. The Scottish Care Inspectorate and other 205 00:10:41,920 --> 00:10:44,880 Speaker 4: government funded bodies all signed up to imposing belief and 206 00:10:44,920 --> 00:10:48,280 Speaker 4: gender identity on social workers and on vulnerable service users, 207 00:10:48,280 --> 00:10:51,520 Speaker 4: claiming that the law supported this. She accused the bosses 208 00:10:51,559 --> 00:10:56,880 Speaker 4: of causing untold harm by abandoning child protection principles and 209 00:10:57,000 --> 00:11:00,839 Speaker 4: giving into radical gender ideology. So they throw away all 210 00:11:00,880 --> 00:11:03,200 Speaker 4: of the things they claimed that they were there to 211 00:11:03,280 --> 00:11:06,120 Speaker 4: do to protect children in the face of the bullying 212 00:11:06,160 --> 00:11:07,599 Speaker 4: by the gender activists. 213 00:11:09,320 --> 00:11:12,360 Speaker 3: By the way, social go ahead, we have some breaking 214 00:11:12,400 --> 00:11:16,040 Speaker 3: news on this story. The Pentagon is halting gender affirming 215 00:11:16,080 --> 00:11:20,200 Speaker 3: healthcare for transgender troops as it implements Trump's new policy. 216 00:11:20,880 --> 00:11:23,800 Speaker 4: Social workers were advised by these and other powerful bodies 217 00:11:23,800 --> 00:11:27,760 Speaker 4: that they must offer automatic affirmation of gender identity, even 218 00:11:27,800 --> 00:11:31,760 Speaker 4: in very young children whose parents are adopters were claiming 219 00:11:31,800 --> 00:11:35,559 Speaker 4: to have identified this, including those with serious and complex 220 00:11:35,600 --> 00:11:39,160 Speaker 4: psychiatric conditions. And then you got people autistic you're a 221 00:11:39,280 --> 00:11:41,240 Speaker 4: rape victim, it doesn't matter. 222 00:11:41,520 --> 00:11:44,600 Speaker 1: They get gender affirming care because they're transgender. Well, those 223 00:11:44,600 --> 00:11:45,120 Speaker 1: are awful. 224 00:11:45,120 --> 00:11:46,920 Speaker 3: And then you've got the ones where the parents are 225 00:11:46,960 --> 00:11:49,960 Speaker 3: just so enthused about their kids being this. What's that actress, 226 00:11:50,520 --> 00:11:53,920 Speaker 3: the blonde one who won the oscar for being the serial. 227 00:11:53,679 --> 00:11:56,800 Speaker 1: Killer shar least thereon? 228 00:11:56,920 --> 00:12:01,000 Speaker 3: Yeah, who says both her kids are trans at ages 229 00:12:01,080 --> 00:12:02,400 Speaker 3: like two and four or whatever. 230 00:12:02,800 --> 00:12:06,000 Speaker 1: What are you talking about? 231 00:12:06,280 --> 00:12:09,080 Speaker 4: And she finally said, unbelievably, we were also asked to 232 00:12:09,160 --> 00:12:12,920 Speaker 4: accept the claim gender identity of serious sex offenders and 233 00:12:12,960 --> 00:12:20,400 Speaker 4: to indulge them, etc. It's just unbelievable. How did a 234 00:12:20,440 --> 00:12:24,120 Speaker 4: belief system this crazy get so far and claim so 235 00:12:24,160 --> 00:12:27,480 Speaker 4: many victims? And Colorado is still you know, you said, 236 00:12:27,520 --> 00:12:29,640 Speaker 4: we hope for past the peak of this, and on 237 00:12:29,679 --> 00:12:32,280 Speaker 4: the way down, Colorado is trying to push it further. 238 00:12:32,920 --> 00:12:36,280 Speaker 1: Right now, I do think we're on the other side 239 00:12:36,320 --> 00:12:36,400 Speaker 1: of it. 240 00:12:36,480 --> 00:12:38,640 Speaker 3: I mean, we can all feel that, but there are 241 00:12:38,679 --> 00:12:42,000 Speaker 3: still places where they're fight, where they're fighting the good 242 00:12:42,040 --> 00:12:44,680 Speaker 3: fight in their mind, the crazy fight, the insane fight, 243 00:12:46,640 --> 00:12:47,880 Speaker 3: damaging the children fight. 244 00:12:48,280 --> 00:12:50,760 Speaker 4: Your kid is effeminate, your kid is gay, your kid 245 00:12:50,800 --> 00:12:54,560 Speaker 4: is fine. You don't have to if the idea that, yes, 246 00:12:54,600 --> 00:12:56,520 Speaker 4: my kid is so sick they need surgery. 247 00:12:56,679 --> 00:12:59,679 Speaker 1: Come on, Oh my God. 248 00:13:02,520 --> 00:13:04,080 Speaker 3: Said, if you have any thoughts on any of this, 249 00:13:04,120 --> 00:13:06,719 Speaker 3: you could text us four one, five, two nine five KFTC. 250 00:13:10,240 --> 00:13:13,200 Speaker 3: Maybe the biggest celebrity trial in the generation p ditty 251 00:13:13,679 --> 00:13:16,520 Speaker 3: according to some people. AnyWho, We'll have to decide whether 252 00:13:16,600 --> 00:13:18,880 Speaker 3: we want updates on this on a regular basis. The 253 00:13:19,040 --> 00:13:23,520 Speaker 3: star witness, his ex girlfriend of ten years, is on 254 00:13:23,559 --> 00:13:27,280 Speaker 3: the stand right now, Katie any headlines for us. 255 00:13:27,559 --> 00:13:32,480 Speaker 7: Yeah, at the moment, she's visibly upset. Also eight and 256 00:13:32,480 --> 00:13:33,560 Speaker 7: a half months pregnant. 257 00:13:34,040 --> 00:13:35,760 Speaker 1: Just as a note, Yeah, that's so fun. 258 00:13:36,240 --> 00:13:38,960 Speaker 7: She's been asked to describe her relationship with Ditty. 259 00:13:39,160 --> 00:13:40,360 Speaker 1: She said, quote, there. 260 00:13:40,240 --> 00:13:42,760 Speaker 7: Were violent arguments that would usually result in some form 261 00:13:42,800 --> 00:13:46,680 Speaker 7: of physical abuse, dragging, different things of that nature. And 262 00:13:46,720 --> 00:13:49,280 Speaker 7: then she was asked to describe what a freak off was. 263 00:13:50,040 --> 00:13:53,600 Speaker 7: It basically entails the hiring of an escort and setting 264 00:13:53,679 --> 00:13:55,360 Speaker 7: up this experience so that I. 265 00:13:55,280 --> 00:13:57,040 Speaker 1: Could perform for Sean. 266 00:13:58,200 --> 00:14:01,040 Speaker 7: Him being able to watch me with another person and 267 00:14:01,120 --> 00:14:03,480 Speaker 7: actually direct us on what we were doing seemed to 268 00:14:03,520 --> 00:14:06,480 Speaker 7: be what he enjoyed. Eventually it became a job for 269 00:14:06,640 --> 00:14:07,640 Speaker 7: me pretty much. 270 00:14:07,679 --> 00:14:10,080 Speaker 3: Well, yeah, as the guy testified yesterday, sometimes for as 271 00:14:10,120 --> 00:14:12,200 Speaker 3: long as ten hours. I don't even I don't even 272 00:14:12,200 --> 00:14:17,440 Speaker 3: know what that means. Ten hours, Yeah. 273 00:14:16,920 --> 00:14:19,359 Speaker 4: And she was I'm just looking through some of the 274 00:14:19,400 --> 00:14:23,400 Speaker 4: news accounts. She said she was naive and a total 275 00:14:23,520 --> 00:14:27,400 Speaker 4: people pleaser and feared making him angry or comfortable with 276 00:14:27,440 --> 00:14:28,040 Speaker 4: the rejection. 277 00:14:28,280 --> 00:14:29,720 Speaker 1: Combs controlled much of her life. 278 00:14:29,760 --> 00:14:33,560 Speaker 4: She said she feared that she'd be blackmailed with videos 279 00:14:33,560 --> 00:14:36,240 Speaker 4: and images of her participation in the free coughs, as 280 00:14:36,280 --> 00:14:37,680 Speaker 4: well as threatened with violence. 281 00:14:39,680 --> 00:14:42,880 Speaker 3: I saw the part yesterday where somebody is saying he'd 282 00:14:42,880 --> 00:14:46,680 Speaker 3: constantly be saying more baby oil. You need more baby oil. 283 00:14:46,880 --> 00:14:48,760 Speaker 3: He had a thing for baby oil for some reason. 284 00:14:48,800 --> 00:14:49,160 Speaker 1: Wow. 285 00:14:49,720 --> 00:14:55,040 Speaker 3: Wow, All right, Well that's your update on that. Anything 286 00:14:55,040 --> 00:14:56,800 Speaker 3: else happens, we'll bring it on to you. Here's a 287 00:14:56,840 --> 00:14:59,960 Speaker 3: grim story from the Narco state, that is our trading 288 00:15:00,080 --> 00:15:03,200 Speaker 3: partner in country south of US, in Mexico. Some woman 289 00:15:03,240 --> 00:15:06,280 Speaker 3: that was running for mayor in some town on a 290 00:15:06,360 --> 00:15:12,240 Speaker 3: I'm going to stand up to the cartels sort of ticket. 291 00:15:12,840 --> 00:15:14,720 Speaker 1: See Can I guess how that sentence ends? 292 00:15:14,840 --> 00:15:19,040 Speaker 3: Yeah, no kidding, gunned down on live television in front 293 00:15:19,160 --> 00:15:23,200 Speaker 3: of all her supporters yesterday, her and her daughter and 294 00:15:23,280 --> 00:15:27,960 Speaker 3: several other people on her campaign and just yeah, murdered 295 00:15:28,000 --> 00:15:31,520 Speaker 3: on television. No ya ain't is what the cartels said. 296 00:15:31,920 --> 00:15:34,720 Speaker 3: And the New York Post runs through the six hundred 297 00:15:34,760 --> 00:15:39,720 Speaker 3: and sixty one different attacks last year on politicians across 298 00:15:39,920 --> 00:15:43,360 Speaker 3: Mexico who tried to stand up to the cartels. I mean, 299 00:15:43,520 --> 00:15:47,920 Speaker 3: true patriots were really knowingly risking their lives to try 300 00:15:47,960 --> 00:15:50,040 Speaker 3: to make the town they live in safe and worth 301 00:15:50,040 --> 00:15:53,720 Speaker 3: a damn for their own family. But there's some gruesome examples, 302 00:15:53,760 --> 00:15:56,400 Speaker 3: and it doesn't even really hardly make the news here anymore. 303 00:15:56,440 --> 00:16:00,840 Speaker 3: It happened so often, got exactly one hundred and sixty one. Yeah, 304 00:16:00,920 --> 00:16:02,800 Speaker 3: I got an example here of a guy who was 305 00:16:02,840 --> 00:16:03,920 Speaker 3: a mayor in someplace. 306 00:16:05,880 --> 00:16:07,040 Speaker 1: Well, this guy was shot and killed. 307 00:16:07,040 --> 00:16:08,520 Speaker 3: This guy was shot and killed, this guy was shot 308 00:16:08,560 --> 00:16:10,040 Speaker 3: and killed, and then he got one hero was. 309 00:16:10,040 --> 00:16:12,360 Speaker 1: Beheaded in his head, left on the top of his 310 00:16:12,480 --> 00:16:14,680 Speaker 1: car for everyone to see the next morning. 311 00:16:15,880 --> 00:16:17,720 Speaker 4: Here's a woman who was the mayor wanted to continue 312 00:16:17,760 --> 00:16:20,440 Speaker 4: his policies. She was murdered walking home from the gym 313 00:16:20,480 --> 00:16:24,360 Speaker 4: with her bodyguard. Bodyguard when that didn't do that good 314 00:16:24,360 --> 00:16:28,640 Speaker 4: a job, probably, Yeah, it's that's rough. 315 00:16:28,760 --> 00:16:30,480 Speaker 3: That is really really rough, that that goes on to 316 00:16:30,480 --> 00:16:32,680 Speaker 3: that extent, and we pay so little attention to it. 317 00:16:32,920 --> 00:16:35,240 Speaker 3: What me right next door was But oh my point 318 00:16:35,320 --> 00:16:37,000 Speaker 3: was I knew I had a point, man, hang on 319 00:16:37,080 --> 00:16:40,400 Speaker 3: to your culture of law and order, because once it 320 00:16:40,480 --> 00:16:44,320 Speaker 3: goes getting it back could be a hundred year project 321 00:16:44,400 --> 00:16:44,720 Speaker 3: or more. 322 00:16:45,960 --> 00:16:47,760 Speaker 4: And that's why a lot of us have been railing 323 00:16:47,800 --> 00:16:50,120 Speaker 4: so hard against a lot of the progressive policies that 324 00:16:50,160 --> 00:16:54,200 Speaker 4: have you know, made crime legal again and emptied the 325 00:16:54,240 --> 00:16:57,760 Speaker 4: prisons again. It takes two weeks to do ndoe and 326 00:16:57,960 --> 00:16:59,880 Speaker 4: maybe two hundred years to get back. 327 00:17:00,560 --> 00:17:02,760 Speaker 1: Yeah, that is rough. We got a lot more on 328 00:17:02,800 --> 00:17:02,960 Speaker 1: the way. 329 00:17:03,000 --> 00:17:04,760 Speaker 3: Get If you missed a segment, get the podcast Armstrong 330 00:17:04,760 --> 00:17:05,600 Speaker 3: and Getty on demand. 331 00:17:08,040 --> 00:17:10,840 Speaker 1: Armstrong and Getty from the. 332 00:17:10,800 --> 00:17:14,040 Speaker 8: Government of Cutter a massive seven forty seven to eight 333 00:17:14,359 --> 00:17:18,000 Speaker 8: luxury jet that's been called a flying palace. The jet, 334 00:17:18,000 --> 00:17:20,800 Speaker 8: which is bigger and more luxurious than Air Force one, 335 00:17:21,080 --> 00:17:24,040 Speaker 8: would almost certainly be the most expensive gift ever from 336 00:17:24,080 --> 00:17:27,720 Speaker 8: a foreign power. It has two fully furnished floors, plush 337 00:17:27,800 --> 00:17:30,879 Speaker 8: carpet leather couches, and two bedrooms. 338 00:17:31,359 --> 00:17:34,080 Speaker 3: I had a good discussion on a podcast yesterday about 339 00:17:34,359 --> 00:17:37,080 Speaker 3: how many people give a crap about this? Maybe you should, 340 00:17:37,119 --> 00:17:40,679 Speaker 3: Maybe it's way out of bounds. Maybe it's an emolument's clause. 341 00:17:41,240 --> 00:17:42,760 Speaker 1: Yeah, what about the emolument's clause? 342 00:17:42,760 --> 00:17:47,000 Speaker 3: But how many people this is register with even if 343 00:17:47,040 --> 00:17:47,920 Speaker 3: it's a maybe you shue? 344 00:17:48,000 --> 00:17:49,080 Speaker 1: I'll bet not a lot. 345 00:17:49,480 --> 00:17:54,040 Speaker 3: Anyway. I've only read this, I haven't actually heard it. 346 00:17:54,119 --> 00:17:56,320 Speaker 3: The back and forth the reporter in Trump yesterday. 347 00:17:56,320 --> 00:18:02,040 Speaker 5: Here we go, say, people who knew that luxury chet 348 00:18:02,080 --> 00:18:04,720 Speaker 5: as a personal get to you, why not leave. 349 00:18:04,600 --> 00:18:06,000 Speaker 2: It behind me? See fake news? 350 00:18:06,080 --> 00:18:06,199 Speaker 4: Right? 351 00:18:06,400 --> 00:18:08,119 Speaker 2: Why not only only you see? 352 00:18:08,119 --> 00:18:11,919 Speaker 9: Well a few of you would, let me tell you, 353 00:18:11,920 --> 00:18:15,280 Speaker 9: you should be embarrassed asking that question. They're giving us 354 00:18:15,280 --> 00:18:17,880 Speaker 9: a free jet. I could say, no, no, no, don't 355 00:18:17,880 --> 00:18:20,040 Speaker 9: give us. I want to pay you a billion or 356 00:18:20,080 --> 00:18:23,440 Speaker 9: four hundred million or whatever it is. Or I could 357 00:18:23,440 --> 00:18:26,919 Speaker 9: say thank you very much. You know, there was an 358 00:18:26,960 --> 00:18:29,320 Speaker 9: old golfer named Sam Sneed. Did you ever hear me? 359 00:18:29,440 --> 00:18:32,359 Speaker 9: Want Ad two terms? Was a great golfer that he 360 00:18:32,440 --> 00:18:35,399 Speaker 9: had a motto. When they give you a putt, you 361 00:18:35,440 --> 00:18:37,400 Speaker 9: say thank you very much, You pick up your ball 362 00:18:37,480 --> 00:18:38,720 Speaker 9: and you walk to the next hole. 363 00:18:38,760 --> 00:18:39,920 Speaker 2: A lot of people are stupid. 364 00:18:40,280 --> 00:18:42,399 Speaker 9: They say no, no, I insist start putting it, and 365 00:18:42,440 --> 00:18:45,280 Speaker 9: then they put it and they miss it and their 366 00:18:45,280 --> 00:18:48,359 Speaker 9: partner gets angry at them. You know what, remember that 367 00:18:48,480 --> 00:18:51,240 Speaker 9: Sam Snead, When they give you a putt, you pick 368 00:18:51,280 --> 00:18:52,200 Speaker 9: it up and you walk. 369 00:18:52,040 --> 00:19:03,480 Speaker 2: To the next hole and you say thank you very much. Yeah. 370 00:19:03,560 --> 00:19:06,640 Speaker 4: I don't like the kataris trying to buy a favor. 371 00:19:06,760 --> 00:19:10,399 Speaker 4: I just don't I'm not comfortable with it. Yeah, I 372 00:19:10,400 --> 00:19:13,320 Speaker 4: don't know if you bear the world's biggest backers of 373 00:19:13,320 --> 00:19:17,240 Speaker 4: the Muslim Brotherhood. The Qatar was a pariah in the 374 00:19:17,280 --> 00:19:21,879 Speaker 4: Middle East because the Muslim Brotherhood is an islam Islamist organization. 375 00:19:22,280 --> 00:19:24,080 Speaker 4: It was causing all sorts of problems for the other 376 00:19:24,480 --> 00:19:27,640 Speaker 4: governments in the region. And they've mended some of those fences. 377 00:19:27,680 --> 00:19:30,000 Speaker 4: But yeah, I just I don't like the feel of it. 378 00:19:30,320 --> 00:19:32,520 Speaker 3: No, if I have to choose one or the other, 379 00:19:32,560 --> 00:19:34,479 Speaker 3: I'd rather we didn't take the plane from the Katari 380 00:19:34,480 --> 00:19:37,560 Speaker 3: has been ranked very high on my list of give 381 00:19:37,600 --> 00:19:38,200 Speaker 3: a craps. 382 00:19:39,040 --> 00:19:40,640 Speaker 1: This yeah, bigger problems for sure. 383 00:19:40,720 --> 00:19:46,639 Speaker 4: Yeah, so a couple of things I wanted to mention personally. 384 00:19:47,760 --> 00:19:50,919 Speaker 4: First of all, I just moved to chat GPT to 385 00:19:51,000 --> 00:19:54,960 Speaker 4: the first page of my iPhone. Wow, okay, I am 386 00:19:55,280 --> 00:19:57,239 Speaker 4: Judy and I are planning a trip. I've used it 387 00:19:57,240 --> 00:19:59,640 Speaker 4: for a number of things, but we're planning a trip now. 388 00:19:59,720 --> 00:20:04,160 Speaker 4: And I've heard that that artificial intelligence in general, whatever 389 00:20:04,240 --> 00:20:06,600 Speaker 4: you know your favorite platform is, is really good at that. 390 00:20:06,960 --> 00:20:09,960 Speaker 4: I am astounded by how great it is. Yeah, I just, 391 00:20:10,200 --> 00:20:12,360 Speaker 4: oh my goodness, I'm only dabbling. 392 00:20:12,160 --> 00:20:14,800 Speaker 3: But it is, like you said the other day, Why 393 00:20:14,800 --> 00:20:16,880 Speaker 3: would you use Google? Now that you've got this, It's 394 00:20:17,000 --> 00:20:20,639 Speaker 3: way better than Google, way better than Google for whatever 395 00:20:20,720 --> 00:20:23,240 Speaker 3: question you've got for instance. 396 00:20:23,560 --> 00:20:27,200 Speaker 4: So I've been an Anglo file fascinated by all things 397 00:20:27,200 --> 00:20:30,080 Speaker 4: British since I was a little kid, and I've never 398 00:20:30,160 --> 00:20:34,800 Speaker 4: spent any time in the UK really, which is just 399 00:20:34,960 --> 00:20:35,959 Speaker 4: I'm horrified by that. 400 00:20:36,040 --> 00:20:37,480 Speaker 1: I let myself get as old as. 401 00:20:37,320 --> 00:20:40,040 Speaker 4: I am, and it's inexplicable anyway, except that I have 402 00:20:40,080 --> 00:20:41,800 Speaker 4: a job that I got to show up for five 403 00:20:41,880 --> 00:20:43,840 Speaker 4: days a week, and it's harder to take big long 404 00:20:43,840 --> 00:20:47,680 Speaker 4: trips anyway. And so I was asking it what part 405 00:20:47,720 --> 00:20:49,800 Speaker 4: of town should we stay in? Here are our interests, 406 00:20:50,560 --> 00:20:53,600 Speaker 4: here's our budget, you know, and it recommended several different 407 00:20:53,640 --> 00:20:55,200 Speaker 4: parts of town that would be great. 408 00:20:55,160 --> 00:20:55,879 Speaker 1: Mostly Freigki. 409 00:20:56,080 --> 00:21:00,199 Speaker 3: I like Figgie pudding and spotted Dick and I need 410 00:21:00,240 --> 00:21:01,520 Speaker 3: Figgie putting in spotted Dick. 411 00:21:01,640 --> 00:21:06,560 Speaker 4: In Kidney pot anyway, and then I said, well, our interests. 412 00:21:06,800 --> 00:21:08,760 Speaker 4: I saw the results and I said, our interests are 413 00:21:08,880 --> 00:21:10,760 Speaker 4: especially this, that and the other. End it refined the 414 00:21:10,760 --> 00:21:14,840 Speaker 4: results and then I said, hey, what are some day 415 00:21:14,840 --> 00:21:16,639 Speaker 4: trips we could take from London because we're going to 416 00:21:16,680 --> 00:21:21,760 Speaker 4: stay for quite a few days. And it gives great 417 00:21:21,880 --> 00:21:25,160 Speaker 4: day trips, the time it takes to get there, how 418 00:21:25,280 --> 00:21:27,679 Speaker 4: you would get there. And then it said would you 419 00:21:27,720 --> 00:21:30,400 Speaker 4: like an itinerary for a trip to Oxford to take 420 00:21:30,400 --> 00:21:33,040 Speaker 4: in classical music? I said yes please, and it said, 421 00:21:33,080 --> 00:21:35,160 Speaker 4: all right, take this. You know you leave that now 422 00:21:35,520 --> 00:21:37,520 Speaker 4: you go to that they have a concert at ten am. 423 00:21:37,560 --> 00:21:40,920 Speaker 4: Then you blah blah blah. It's just it's amazing anyway. 424 00:21:41,080 --> 00:21:44,439 Speaker 1: So that's one thing. So second, I. 425 00:21:44,440 --> 00:21:46,720 Speaker 3: Don't know there is such thing at travel agents anymore anyway, 426 00:21:46,720 --> 00:21:47,600 Speaker 3: but they're out of a job. 427 00:21:48,800 --> 00:21:51,440 Speaker 4: Yeah, now they could maybe handle some of the logistics 428 00:21:51,440 --> 00:21:55,920 Speaker 4: like booking you tickets, behave more like a concierge. 429 00:21:55,119 --> 00:21:58,120 Speaker 1: Than a I don't know than a planner. 430 00:21:58,400 --> 00:22:01,639 Speaker 4: But anyway, because I got to admit, some of that 431 00:22:01,680 --> 00:22:05,440 Speaker 4: logistics stuff is a little uh, not daunting exactly, just 432 00:22:05,520 --> 00:22:07,480 Speaker 4: a pain in the butt. But the other thing is 433 00:22:07,520 --> 00:22:09,960 Speaker 4: I want to thank everybody who through the years has said, Joe, 434 00:22:10,000 --> 00:22:14,040 Speaker 4: you would love Black Mirror, the Netflix series. 435 00:22:15,040 --> 00:22:16,000 Speaker 1: Have you watched that at all? 436 00:22:16,119 --> 00:22:16,199 Speaker 6: No? 437 00:22:16,320 --> 00:22:18,119 Speaker 1: But people keep referencing it and I think I need 438 00:22:18,200 --> 00:22:22,040 Speaker 1: to check it out. It is Katie your fan, h fan, 439 00:22:23,040 --> 00:22:25,679 Speaker 1: huge fan, so it is. 440 00:22:26,000 --> 00:22:29,560 Speaker 4: I would describe it as a modern day cinematic quality 441 00:22:29,800 --> 00:22:33,480 Speaker 4: Twilight Zone, which is probably not an original description. 442 00:22:33,520 --> 00:22:35,119 Speaker 1: I'm sure other people have used that too. 443 00:22:35,680 --> 00:22:39,080 Speaker 4: Each episode stands alone, at least so far that I've watched. 444 00:22:39,480 --> 00:22:43,959 Speaker 4: They're not it's not a serial. It's like individual, fairly 445 00:22:44,080 --> 00:22:47,959 Speaker 4: short movies revolving around the theme of man trying to 446 00:22:47,960 --> 00:22:55,200 Speaker 4: deal with the new technological world, okay, and paranoia and identity. 447 00:22:55,320 --> 00:23:00,800 Speaker 4: And it's all very not cerebral, but it themes are 448 00:23:00,840 --> 00:23:04,840 Speaker 4: worth wrestling with. The first episode is one of the 449 00:23:04,840 --> 00:23:11,919 Speaker 4: most hilariously funny, horrifying things I've ever seen. It was 450 00:23:12,200 --> 00:23:16,360 Speaker 4: with the Pig Katie. Oh yeah, season one, episode. 451 00:23:15,960 --> 00:23:19,960 Speaker 1: One, Oh yeah, we're going back but yeah, and the Politician. Yeah. 452 00:23:19,960 --> 00:23:22,560 Speaker 4: Anyway, So if you haven't yet dived into it, I 453 00:23:22,640 --> 00:23:25,680 Speaker 4: recommend it highly. It's themes are mature that you don't 454 00:23:25,680 --> 00:23:27,800 Speaker 4: want to watch this with your kids, So if you're fright, 455 00:23:27,920 --> 00:23:29,080 Speaker 4: I'm begging you don't. 456 00:23:29,359 --> 00:23:31,760 Speaker 3: But so, if like me, you're constantly wondering where AI 457 00:23:31,760 --> 00:23:32,399 Speaker 3: and Stuff's going to. 458 00:23:32,400 --> 00:23:33,720 Speaker 1: Take us, this would be a good show for that. 459 00:23:33,920 --> 00:23:37,720 Speaker 1: Oh my gosh, yes, you mean example. Well, and I'm 460 00:23:37,720 --> 00:23:40,280 Speaker 1: in the early days, Katie, what's you know? Later later? 461 00:23:40,280 --> 00:23:42,400 Speaker 1: It's Okay, here's it. Whatever springs to mind. 462 00:23:42,600 --> 00:23:47,760 Speaker 7: Possible spoiler alert issue, but oh that's all right. The 463 00:23:47,840 --> 00:23:50,960 Speaker 7: latest episode I just watched they are living in a 464 00:23:51,000 --> 00:23:54,639 Speaker 7: world in the UK where the honeybee is now an 465 00:23:54,720 --> 00:23:59,480 Speaker 7: endangered species. So this company took it upon themselves to create. 466 00:23:59,520 --> 00:24:01,040 Speaker 1: Little mini drones. 467 00:24:00,720 --> 00:24:04,159 Speaker 7: That look like bumblebees and they pollinate and take care of, 468 00:24:04,359 --> 00:24:05,520 Speaker 7: you know what, the bees job. 469 00:24:06,000 --> 00:24:08,800 Speaker 4: That's a wonderful and inspiring idea. Thank you for telling 470 00:24:08,880 --> 00:24:09,879 Speaker 4: us about the episode. 471 00:24:10,359 --> 00:24:16,840 Speaker 7: Hey, so somebody hijacks all of the bees and they 472 00:24:16,880 --> 00:24:17,720 Speaker 7: start killing people. 473 00:24:18,160 --> 00:24:21,920 Speaker 1: Okay, going through the ears for everywhere bees. 474 00:24:22,600 --> 00:24:26,640 Speaker 4: Yeah, oh no, Hey, I tell you what nanodrones in warfare. 475 00:24:26,800 --> 00:24:28,960 Speaker 4: I read about that years ago and it still haunts 476 00:24:29,040 --> 00:24:31,800 Speaker 4: my dreams. Drones so small you can't even see them 477 00:24:31,800 --> 00:24:35,840 Speaker 4: with the naked eye, individually swarming the battlefield and swarming 478 00:24:35,880 --> 00:24:41,400 Speaker 4: the lungs of your opponents and just detonating their lungs. 479 00:24:41,560 --> 00:24:45,360 Speaker 3: I'm highly interested in all those things, and a lot 480 00:24:45,359 --> 00:24:47,520 Speaker 3: of those things can come true or will come true. 481 00:24:47,560 --> 00:24:50,000 Speaker 3: And then you've just got the very basic thing of AI. 482 00:24:50,200 --> 00:24:52,919 Speaker 3: Like you were talking about how good chat GPT is 483 00:24:52,920 --> 00:24:57,000 Speaker 3: doing stuff. It's just if it shaves off even if 484 00:24:57,000 --> 00:25:00,320 Speaker 3: it doesn't eliminate every job, If it shaves off ten jobs, 485 00:25:00,720 --> 00:25:03,240 Speaker 3: I mean, it's going to restructure society in such a 486 00:25:03,320 --> 00:25:05,240 Speaker 3: drastic way. 487 00:25:05,640 --> 00:25:08,960 Speaker 1: Ten percent would be cataclysmic. Right. 488 00:25:09,960 --> 00:25:12,720 Speaker 3: My brother, who has been a truck driver at various 489 00:25:12,720 --> 00:25:14,520 Speaker 3: times in his life, sent me some stuff about the 490 00:25:14,520 --> 00:25:18,920 Speaker 3: new Tesla semi trucks that they're trying in Texas right now, 491 00:25:19,000 --> 00:25:22,000 Speaker 3: and he said, Man, if this works, it's just going 492 00:25:22,080 --> 00:25:27,680 Speaker 3: to be devastating because that's a huge job nationwide truck 493 00:25:27,760 --> 00:25:30,639 Speaker 3: driver and you eliminate all those and all of a sudden, 494 00:25:30,760 --> 00:25:33,000 Speaker 3: all of those dudes, mostly dudes, got to find a 495 00:25:33,000 --> 00:25:37,600 Speaker 3: different way to make a living. This is underappreciated. Is 496 00:25:37,640 --> 00:25:38,800 Speaker 3: how seismic a shift. 497 00:25:38,800 --> 00:25:42,160 Speaker 4: This is going to be well, and we're dealing really 498 00:25:42,240 --> 00:25:48,480 Speaker 4: so like maybe in the next year. Days we're already 499 00:25:48,520 --> 00:25:50,920 Speaker 4: dealing with And we talked about this hour one of 500 00:25:51,000 --> 00:25:54,119 Speaker 4: the show. I think how the budget negotiations going on 501 00:25:54,240 --> 00:25:58,439 Speaker 4: right now in the House, especially fiscal conservatism is gone, 502 00:25:58,760 --> 00:26:05,000 Speaker 4: and the current to reform Medicaid, for instance, the new perverse, twisted, 503 00:26:05,160 --> 00:26:10,480 Speaker 4: bloated Medicaid that Obamacare just exploded. Nobody has the will 504 00:26:10,520 --> 00:26:13,120 Speaker 4: because it's too easy to demagoge it and say they're. 505 00:26:12,960 --> 00:26:16,600 Speaker 1: Trying to take away healthcare for the poor, and people 506 00:26:16,640 --> 00:26:17,479 Speaker 1: will believe that. 507 00:26:17,840 --> 00:26:21,359 Speaker 4: And it's just if the AI thing happens and that 508 00:26:21,440 --> 00:26:24,359 Speaker 4: ten percent happens. I mean, how many Americans are working 509 00:26:24,400 --> 00:26:26,640 Speaker 4: at this point. Honestly, it's like one hundred and forty 510 00:26:26,720 --> 00:26:27,879 Speaker 4: one hundred and fifty million. 511 00:26:27,920 --> 00:26:28,400 Speaker 1: It's a half. 512 00:26:28,480 --> 00:26:31,600 Speaker 4: You got kids and old people and blah blah blah. 513 00:26:30,400 --> 00:26:39,240 Speaker 4: But that's an astonishing addition to the welfare roles, Medicaid disability, 514 00:26:39,600 --> 00:26:41,480 Speaker 4: because you know what's going to happen to those truck drivers. 515 00:26:41,520 --> 00:26:43,600 Speaker 4: And I based this on some stuff I've been reading about, 516 00:26:44,119 --> 00:26:47,040 Speaker 4: you know some of the you know, more run downtowns 517 00:26:47,040 --> 00:26:48,719 Speaker 4: in the Steel belt and stuff like that, is they 518 00:26:48,760 --> 00:26:50,040 Speaker 4: go on fake disability. 519 00:26:50,359 --> 00:26:51,240 Speaker 1: That's what happens. 520 00:26:51,920 --> 00:26:56,320 Speaker 4: The government people and the corporate people say to the guys, look, 521 00:26:56,400 --> 00:26:59,399 Speaker 4: this is a job's fair and a training program, but 522 00:26:59,800 --> 00:27:02,119 Speaker 4: we don't really mean it, y'all. If you stay in 523 00:27:02,119 --> 00:27:04,800 Speaker 4: this town, you're gonna end up on disability. So here's 524 00:27:04,840 --> 00:27:07,600 Speaker 4: how you apply for disability. Here's what you need to 525 00:27:07,640 --> 00:27:11,520 Speaker 4: tell them, and those numbers will just just explode. 526 00:27:12,800 --> 00:27:15,160 Speaker 3: So you might have to read jigger some of your 527 00:27:15,200 --> 00:27:18,560 Speaker 3: prize picks based on what happened in the basketball last 528 00:27:18,640 --> 00:27:22,280 Speaker 3: night with the best player for the defending champions going down. 529 00:27:22,520 --> 00:27:24,240 Speaker 3: I don't know what your opinion was, who was gonna 530 00:27:24,240 --> 00:27:26,840 Speaker 3: win in the NBA. You download the Price Picks app 531 00:27:26,840 --> 00:27:29,080 Speaker 3: and you've got the opportunity to take your sports opinions 532 00:27:29,080 --> 00:27:31,000 Speaker 3: and turn them into cash really really fast. 533 00:27:31,560 --> 00:27:33,879 Speaker 4: It's super easy too, and easy to understand. You just 534 00:27:34,000 --> 00:27:38,000 Speaker 4: choose more or less on two at least two player 535 00:27:38,080 --> 00:27:38,960 Speaker 4: stat projections. 536 00:27:39,240 --> 00:27:40,680 Speaker 1: He's gonna score more points than that. 537 00:27:40,640 --> 00:27:43,320 Speaker 4: He's gonna score less, And it's two to six players 538 00:27:43,480 --> 00:27:45,439 Speaker 4: for your shot to win up to two thousand times 539 00:27:45,520 --> 00:27:47,600 Speaker 4: your cash. And heck, you got a theory on some 540 00:27:47,680 --> 00:27:50,119 Speaker 4: guy going off in basketball and one hitter you think 541 00:27:50,240 --> 00:27:52,320 Speaker 4: is gonna go wild in baseball. You can combine those 542 00:27:52,359 --> 00:27:53,359 Speaker 4: sports for your lineup. 543 00:27:53,520 --> 00:27:55,240 Speaker 3: Yeah, so download the app today and use a code 544 00:27:55,320 --> 00:27:57,480 Speaker 3: Armstrong to get fifty dollars instantly after you play your 545 00:27:57,480 --> 00:27:59,960 Speaker 3: first five dollars lineup. That quote Armstrong gets you fifty 546 00:28:00,119 --> 00:28:04,000 Speaker 3: dollars instantly after you play your first five dollars lineup and. 547 00:28:04,000 --> 00:28:07,679 Speaker 4: Prize picks super customer oriented withdrawals are fast, safe and secure, 548 00:28:07,720 --> 00:28:10,520 Speaker 4: with some hitting your account as little as fifteen minutes again, 549 00:28:10,600 --> 00:28:13,080 Speaker 4: download the prize picks after today. Use that code Armstrong, 550 00:28:13,119 --> 00:28:15,600 Speaker 4: get fifty bucks instantly after you play just five dollars. 551 00:28:15,680 --> 00:28:18,600 Speaker 1: Lineup prize picks, run your game. 552 00:28:19,240 --> 00:28:23,800 Speaker 3: Inflation numbers came out today, lowest annual inflation in four years. 553 00:28:24,200 --> 00:28:24,680 Speaker 1: WHOA. 554 00:28:24,800 --> 00:28:26,520 Speaker 3: That has got to be good news, right? Does that 555 00:28:26,560 --> 00:28:29,040 Speaker 3: mean they can start lowering interest rates? Is that what 556 00:28:29,080 --> 00:28:32,880 Speaker 3: that possibly means? As perhaps? 557 00:28:33,240 --> 00:28:33,600 Speaker 1: Yeah? 558 00:28:33,920 --> 00:28:36,000 Speaker 4: Yeah, I tell you what. This is sobering news, and 559 00:28:36,080 --> 00:28:39,160 Speaker 4: you know how I hate to be sober. The labor 560 00:28:39,200 --> 00:28:43,840 Speaker 4: market for recent college grads has deteriorated noticeably in the 561 00:28:43,880 --> 00:28:45,360 Speaker 4: first quarter of this year. 562 00:28:47,040 --> 00:28:49,360 Speaker 1: The trend continuing but getting worse. 563 00:28:49,400 --> 00:28:50,720 Speaker 3: I'd like to hear a little more about that and 564 00:28:50,880 --> 00:28:53,200 Speaker 3: mainly why, among other things. On the way stay here. 565 00:28:57,000 --> 00:29:00,040 Speaker 7: NBC just announced that Michael Jordan will contribute to the 566 00:29:00,120 --> 00:29:01,560 Speaker 7: NBA covers next season. 567 00:29:04,360 --> 00:29:04,560 Speaker 1: Yeah. 568 00:29:04,640 --> 00:29:08,360 Speaker 3: Between this and The Pope, Chicago's like, OMG, best week ever? 569 00:29:10,360 --> 00:29:10,560 Speaker 1: Right? 570 00:29:11,960 --> 00:29:16,120 Speaker 4: Oh, the Pope's brother is a character. Oh yeah, he's 571 00:29:16,160 --> 00:29:19,560 Speaker 4: got some strong opinions. Yes, we'll drill down into those 572 00:29:19,640 --> 00:29:21,880 Speaker 4: during our four of the show. What you don't get 573 00:29:21,880 --> 00:29:23,880 Speaker 4: our four You've got to go to work or something. 574 00:29:24,000 --> 00:29:26,480 Speaker 4: A gravi it later via podcast Armstrong and getting on demand. 575 00:29:26,520 --> 00:29:29,560 Speaker 3: He's going to be like the Billy Carter for the Pope. 576 00:29:31,040 --> 00:29:33,760 Speaker 4: Yeah yeah, not a terrible comparison. So stay tuned for 577 00:29:33,800 --> 00:29:36,440 Speaker 4: that if you can, or again grab it later. So 578 00:29:36,560 --> 00:29:39,400 Speaker 4: while Bill Maher was talking to Donna Brazil, a longtime 579 00:29:39,480 --> 00:29:43,720 Speaker 4: Democrat activist. You know, interesting lady, no doubt. But they're 580 00:29:43,760 --> 00:29:46,760 Speaker 4: talking about AI and the future and employment and everything 581 00:29:46,920 --> 00:29:49,600 Speaker 4: we've been discussing. Here's how it went. This has come 582 00:29:49,640 --> 00:29:50,200 Speaker 4: out this week. 583 00:29:50,320 --> 00:29:53,880 Speaker 10: Graduation season is upon us and the unemployment rates of 584 00:29:53,920 --> 00:29:55,240 Speaker 10: new grads way up. 585 00:29:55,520 --> 00:29:56,200 Speaker 2: Why is that? 586 00:29:56,640 --> 00:30:00,200 Speaker 10: Because AI is doing the jobs that even the white collar. 587 00:30:00,200 --> 00:30:02,120 Speaker 1: Kids used to be able to code. 588 00:30:02,520 --> 00:30:06,120 Speaker 10: There's a company, Aurora Driver driverless trucks. 589 00:30:06,160 --> 00:30:06,959 Speaker 2: It makes well. 590 00:30:07,000 --> 00:30:10,640 Speaker 10: They've already tested it over twelve hundred miles. So there's 591 00:30:10,680 --> 00:30:14,800 Speaker 10: three point five to five million truck drivers in America and. 592 00:30:14,760 --> 00:30:16,840 Speaker 1: This and that Uber drivers. 593 00:30:16,880 --> 00:30:19,560 Speaker 10: They're going to be out of a job, cashiers. We 594 00:30:19,600 --> 00:30:22,040 Speaker 10: already see it at the Amazon warehouse. What are we 595 00:30:22,160 --> 00:30:22,840 Speaker 10: going to do? 596 00:30:23,000 --> 00:30:26,680 Speaker 6: What are the robo possibilities of heaven? You know, these 597 00:30:26,880 --> 00:30:32,520 Speaker 6: automated systems help us reduce you know, work workplace hazards. 598 00:30:32,560 --> 00:30:34,080 Speaker 6: I mean, there are things that they can do that 599 00:30:34,200 --> 00:30:36,320 Speaker 6: human beings cannot do. They can lift things, they can 600 00:30:36,360 --> 00:30:39,040 Speaker 6: move things, they can box things. So we have to 601 00:30:39,120 --> 00:30:40,520 Speaker 6: adapt to the future, Bill. 602 00:30:40,600 --> 00:30:46,400 Speaker 1: We can't run from a Wow, what meaningless problem that was. 603 00:30:46,960 --> 00:30:49,040 Speaker 1: We need to adapt to the future Bill. Yeah, that's 604 00:30:49,080 --> 00:30:52,160 Speaker 1: what I'm talking about. How workplace injuries or whatever. 605 00:30:52,200 --> 00:30:55,400 Speaker 3: It's interesting how the left immediately jumps to its great 606 00:30:56,280 --> 00:30:58,880 Speaker 3: that AI will be able to replace jobs. I guess 607 00:30:58,960 --> 00:31:01,800 Speaker 3: leaning more into the idea that people shouldn't. 608 00:31:01,360 --> 00:31:05,760 Speaker 4: Have to work, or that they'll become poets or I 609 00:31:05,760 --> 00:31:08,800 Speaker 4: don't know, democratic activists if they don't have to put 610 00:31:08,800 --> 00:31:09,680 Speaker 4: food on the table. 611 00:31:09,800 --> 00:31:13,080 Speaker 1: Eh. Interesting, So some numbers are out. 612 00:31:13,160 --> 00:31:17,120 Speaker 4: Labor market for recent college graduates deteriorated noticeably in the 613 00:31:17,120 --> 00:31:19,880 Speaker 4: first quarter of this year. Unemployment rate jumped to five 614 00:31:19,920 --> 00:31:24,200 Speaker 4: point eight percent, and the under employment rate rose sharply 615 00:31:24,280 --> 00:31:28,120 Speaker 4: to forty one point two percent. I would have to 616 00:31:28,160 --> 00:31:32,000 Speaker 4: click several times to get to their precise definition of underemployment, 617 00:31:32,000 --> 00:31:33,840 Speaker 4: but I have a feeling it has to do with 618 00:31:34,080 --> 00:31:36,800 Speaker 4: either not in a field they're educated for or not 619 00:31:36,840 --> 00:31:41,320 Speaker 4: working enough hours. But yeah, and they don't really explain why. Again, 620 00:31:41,440 --> 00:31:43,320 Speaker 4: that would take a fair amount of digging. But it's 621 00:31:43,320 --> 00:31:46,920 Speaker 4: softened up and it makes sense. I mean, speaking of AI, 622 00:31:47,320 --> 00:31:53,160 Speaker 4: there are just a lot of I'm a college graduate, 623 00:31:53,600 --> 00:31:57,640 Speaker 4: I've got a cubicle job, I don't work outside with 624 00:31:57,720 --> 00:31:58,920 Speaker 4: my hands jobs. 625 00:31:59,280 --> 00:32:00,800 Speaker 1: How do you describe it? Office jobs? 626 00:32:00,840 --> 00:32:05,320 Speaker 4: In short, I guess a technology is taking care of 627 00:32:05,360 --> 00:32:08,680 Speaker 4: a lot of those and b As we've been discussing 628 00:32:09,360 --> 00:32:13,000 Speaker 4: for quite a while now, college degrees are getting phonier 629 00:32:13,040 --> 00:32:17,160 Speaker 4: and phonier the extent to which they indicate that this 630 00:32:17,240 --> 00:32:20,480 Speaker 4: person has gained important skills and insights about. 631 00:32:20,200 --> 00:32:22,240 Speaker 1: The world in life. That wouldn't mean anything to me. 632 00:32:23,320 --> 00:32:26,600 Speaker 4: No, no, it could, but they did. That just doesn't 633 00:32:26,640 --> 00:32:29,160 Speaker 4: mean that anymore. Having a diploma doesn't mean that. 634 00:32:29,640 --> 00:32:32,240 Speaker 3: So once we start, I think we all, I think 635 00:32:32,240 --> 00:32:34,360 Speaker 3: everybody agrees that we're going to be heading down a 636 00:32:34,440 --> 00:32:38,440 Speaker 3: road where there is some sort of guaranteed income for 637 00:32:38,480 --> 00:32:43,040 Speaker 3: a certain segment of society, maybe not like permanently, but 638 00:32:43,120 --> 00:32:44,560 Speaker 3: transitioning in and out. 639 00:32:44,480 --> 00:32:45,840 Speaker 1: Of work or something like that. 640 00:32:45,960 --> 00:32:50,080 Speaker 3: But once that starts, are people going to be fighting 641 00:32:50,080 --> 00:32:52,520 Speaker 3: each other to try to get it into that category? 642 00:32:52,640 --> 00:32:54,280 Speaker 3: Like you want to be one of the people that 643 00:32:54,280 --> 00:32:56,760 Speaker 3: gets the guaranteed income and doesn't have to work or 644 00:32:56,760 --> 00:32:58,880 Speaker 3: would that seem like a horror to most people? 645 00:32:58,920 --> 00:33:00,320 Speaker 1: It seems like a horror to me. 646 00:33:02,320 --> 00:33:06,600 Speaker 4: I think we'll have the standard makers and takers, you know, 647 00:33:08,040 --> 00:33:11,960 Speaker 4: division in society, but it'll be weighted way towards the takers. 648 00:33:12,080 --> 00:33:13,640 Speaker 3: Would it have seemed like a horror to me when 649 00:33:13,640 --> 00:33:17,440 Speaker 3: I was twenty two, I don't know when my standard 650 00:33:17,520 --> 00:33:21,240 Speaker 3: living was so low that meeting it or exceeding it 651 00:33:21,280 --> 00:33:24,680 Speaker 3: wouldn't take much. And I was perfectly happy with my 652 00:33:24,720 --> 00:33:28,120 Speaker 3: standard of living, maybe with the idea of okay, that'd 653 00:33:28,120 --> 00:33:29,720 Speaker 3: be fine, you know, and then I don't have to work, 654 00:33:29,760 --> 00:33:32,080 Speaker 3: and I can I'll get a degree and this or 655 00:33:32,120 --> 00:33:35,280 Speaker 3: that eventually, and then you just don't get around to it. 656 00:33:36,000 --> 00:33:40,280 Speaker 4: Yeah, And then I think they're your secondary effects or 657 00:33:42,280 --> 00:33:49,880 Speaker 4: whatever that second tier effects. You deny the incentive for many, 658 00:33:49,880 --> 00:33:53,200 Speaker 4: many people to excel at anything, to live a life 659 00:33:53,200 --> 00:33:59,120 Speaker 4: of purpose, even to stay busy, and that will cascade 660 00:33:59,160 --> 00:34:04,120 Speaker 4: into serious moological changes. I think, because you know, young, 661 00:34:06,240 --> 00:34:08,920 Speaker 4: how do I put this? If you fundamentally change the 662 00:34:08,920 --> 00:34:11,759 Speaker 4: purposes of people's lives and how they spend each day 663 00:34:11,760 --> 00:34:14,160 Speaker 4: and why they spend each day doing them, that causes 664 00:34:14,400 --> 00:34:19,680 Speaker 4: enormous political instability. Just everything changes, and the number of 665 00:34:19,680 --> 00:34:21,680 Speaker 4: people who are on the government dole, and the way 666 00:34:21,680 --> 00:34:24,920 Speaker 4: the government takes in revenue and then hands it back 667 00:34:24,960 --> 00:34:27,319 Speaker 4: out again, the way private industry, even if it's all 668 00:34:27,440 --> 00:34:31,919 Speaker 4: robots and AI, generates that income, and then how it's 669 00:34:31,920 --> 00:34:34,480 Speaker 4: confiscated from them, and blah blah. I mean, that's that 670 00:34:34,960 --> 00:34:39,440 Speaker 4: serious earthquake level changing of society. 671 00:34:39,080 --> 00:34:42,120 Speaker 3: That I think is not one hundred years off or 672 00:34:42,160 --> 00:34:43,799 Speaker 3: fifty years off or twenty years off. 673 00:34:43,880 --> 00:34:45,359 Speaker 1: I think it's like two years off. 674 00:34:46,960 --> 00:34:50,640 Speaker 4: Yeah, I don't know, but it's it's definitely not one 675 00:34:50,719 --> 00:34:51,439 Speaker 4: hundred years old. 676 00:34:51,560 --> 00:34:54,120 Speaker 3: Will you add the whatever he said three million truck 677 00:34:54,200 --> 00:34:57,319 Speaker 3: drivers to the however many million uber drivers, they'll all 678 00:34:57,360 --> 00:35:00,160 Speaker 3: be gone soon with the way MOS in that and 679 00:35:00,440 --> 00:35:02,800 Speaker 3: you know a few more of those white collar jobs 680 00:35:02,800 --> 00:35:05,919 Speaker 3: you're discussing, You're gonna have enough million people out there 681 00:35:07,160 --> 00:35:11,239 Speaker 3: that are gonna need some sort of guaranteed didn't come, 682 00:35:11,239 --> 00:35:13,080 Speaker 3: I guess. And why would the rest of us be 683 00:35:13,200 --> 00:35:17,000 Speaker 3: okay with paying for them to not do anything? 684 00:35:17,640 --> 00:35:20,719 Speaker 4: Because we're just satisfied with working hard and having our 685 00:35:20,800 --> 00:35:23,040 Speaker 4: money confiscated by the government to hand out for those 686 00:35:23,080 --> 00:35:26,360 Speaker 4: people who are you know, victims of AI or whatever. 687 00:35:27,000 --> 00:35:28,440 Speaker 1: I'll tell you what too. 688 00:35:28,520 --> 00:35:31,279 Speaker 4: If they announced in the next however long period, do 689 00:35:31,280 --> 00:35:34,240 Speaker 4: you want to pick that? Hey, you know that hallucinations 690 00:35:34,280 --> 00:35:35,880 Speaker 4: problem with AI systems. 691 00:35:35,920 --> 00:35:36,560 Speaker 1: We've fixed it. 692 00:35:36,600 --> 00:35:40,160 Speaker 4: We've figured out what caused that, and so now there 693 00:35:40,280 --> 00:35:45,040 Speaker 4: is zero chance our AI attorney will ever come up 694 00:35:45,080 --> 00:35:47,520 Speaker 4: with a fake case or give bad legal advice. There's 695 00:35:47,640 --> 00:35:51,520 Speaker 4: zero chance our AI accountant will hallucinate some sort of 696 00:35:51,600 --> 00:35:53,759 Speaker 4: tax deduction that doesn't exist and you go to jail. 697 00:35:53,960 --> 00:35:56,399 Speaker 4: We've got that taken care of. Then, man, you're gonna 698 00:35:56,400 --> 00:35:58,640 Speaker 4: see white collar jobs disappear like crazy. 699 00:36:01,000 --> 00:36:04,160 Speaker 3: And that if that robot stops swinging its arm around 700 00:36:04,239 --> 00:36:07,160 Speaker 3: trying to decapitate people and starts lifting boxes, and you 701 00:36:07,160 --> 00:36:08,160 Speaker 3: eliminate all those. 702 00:36:08,080 --> 00:36:12,760 Speaker 1: Jobs, so you're either unemployed or decapitated. This is the future, 703 00:36:14,680 --> 00:36:15,880 Speaker 1: Armstrong and Getty