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 --> 00:00:10,799 Speaker 1: Washington Broadcast Center. Jack Armstrong and Joe Getty. I'm strong 3 00:00:10,840 --> 00:00:17,280 Speaker 1: and Jackie enough, he armstrong and Yetty. 4 00:00:24,160 --> 00:00:29,120 Speaker 2: We are always going to be merely human, just normal 5 00:00:29,240 --> 00:00:34,120 Speaker 2: human people who need our mom. 6 00:00:34,159 --> 00:00:41,680 Speaker 1: Mama, Mama, if you're listening, we need you to come home. 7 00:00:43,040 --> 00:00:48,680 Speaker 1: We missed you. That's Annie Guthrie, Savannah Guthrie's sister, from 8 00:00:48,720 --> 00:00:51,120 Speaker 1: a video of the family put out yesterday about four 9 00:00:51,159 --> 00:00:54,560 Speaker 1: minutes long. Not exactly sure what all the goals were 10 00:00:54,560 --> 00:00:56,520 Speaker 1: in there, but part of the goal was to reach 11 00:00:56,600 --> 00:01:01,520 Speaker 1: out to potential kidnapper kidnappers and the start a conversation. 12 00:01:01,760 --> 00:01:05,960 Speaker 1: The leading theory seems to be that they're not in 13 00:01:06,000 --> 00:01:10,360 Speaker 1: conversations with the kidnapper, despite the reporting of a ransom 14 00:01:10,400 --> 00:01:14,640 Speaker 1: note existing, because that only went to news outlets and 15 00:01:14,680 --> 00:01:15,440 Speaker 1: not to the family. 16 00:01:15,800 --> 00:01:17,720 Speaker 3: Well, and it's not clear that it was the same 17 00:01:18,240 --> 00:01:21,319 Speaker 3: note that went to both outlets. The local TV stations 18 00:01:21,360 --> 00:01:22,440 Speaker 3: seems more legit. 19 00:01:23,040 --> 00:01:28,600 Speaker 1: There might be one hundred different probably are at this point, oases, etc. Yeah. 20 00:01:28,880 --> 00:01:30,679 Speaker 1: John Miller is one of the few reasons to ever 21 00:01:30,720 --> 00:01:33,959 Speaker 1: tune into CNN former FBI. He was on like what 22 00:01:34,080 --> 00:01:36,720 Speaker 1: was he on Law and Order CSI He was a 23 00:01:36,720 --> 00:01:39,160 Speaker 1: TV star for a while way back in the day. Yeah, 24 00:01:39,160 --> 00:01:41,520 Speaker 1: and then he went back to cable news. Pretty sure 25 00:01:41,520 --> 00:01:44,199 Speaker 1: he was. Anyway, here's John Miller on the story. 26 00:01:44,480 --> 00:01:47,760 Speaker 4: You start off with proof of life. Can you show 27 00:01:47,840 --> 00:01:50,279 Speaker 4: me a picture? Can you put the victim on the phone? 28 00:01:50,320 --> 00:01:53,000 Speaker 4: Can you send us a recording? If not, that you 29 00:01:53,040 --> 00:01:56,360 Speaker 4: can drill down to. I'm going to send you three questions. 30 00:01:56,640 --> 00:01:59,480 Speaker 4: These are questions that only the victim would know. And 31 00:01:59,520 --> 00:02:02,640 Speaker 4: you know, you try to test that kidnapper who's in 32 00:02:02,720 --> 00:02:05,800 Speaker 4: the middle of a money demand and say, how can 33 00:02:05,840 --> 00:02:09,200 Speaker 4: you prove two things to us? One that you're real 34 00:02:09,919 --> 00:02:12,799 Speaker 4: that you are the person who has or had her, 35 00:02:13,000 --> 00:02:15,080 Speaker 4: and two that she's still alive? 36 00:02:15,400 --> 00:02:19,360 Speaker 1: And those are important tests. Yeah, that's all with the 37 00:02:19,400 --> 00:02:25,200 Speaker 1: assumption that it's somebody that had a thought out plan 38 00:02:25,360 --> 00:02:27,840 Speaker 1: to make money or what you know, you hope that 39 00:02:27,840 --> 00:02:31,920 Speaker 1: that's the case. At least then you got a shot 40 00:02:32,600 --> 00:02:36,120 Speaker 1: as opposed to it's just some weirdo, crazy person that 41 00:02:36,320 --> 00:02:39,840 Speaker 1: thinks Savannah Guthrie was you know, specifically talking to him 42 00:02:39,880 --> 00:02:41,040 Speaker 1: through the TV or who knows what? 43 00:02:41,639 --> 00:02:45,520 Speaker 3: Oh lord, Yeah, well, even the first scenario I think 44 00:02:45,560 --> 00:02:47,600 Speaker 3: by far, the most likely thing is that some half 45 00:02:47,639 --> 00:02:51,040 Speaker 3: wit who decides he's a criminal genius who realizes almost 46 00:02:51,040 --> 00:02:53,840 Speaker 3: immediately he's bitten off way more than he can chew, 47 00:02:54,280 --> 00:02:59,480 Speaker 3: especially given poor missus Guthrie's health status. So he's got 48 00:02:59,480 --> 00:03:02,919 Speaker 3: a very sick, elderly woman who could have. 49 00:03:02,880 --> 00:03:04,600 Speaker 1: Died on his hands, and then he's like, what are 50 00:03:04,600 --> 00:03:09,040 Speaker 1: I know? Right? Yeah, that's not unlikely, No, it's not. 51 00:03:11,000 --> 00:03:14,880 Speaker 1: The Sheriff's department did not have a press conference yesterday, 52 00:03:15,160 --> 00:03:18,200 Speaker 1: which I think is perfectly fine because they didn't have 53 00:03:18,200 --> 00:03:22,320 Speaker 1: anything to say, but being criticized a lot, of course 54 00:03:22,400 --> 00:03:25,400 Speaker 1: by your cable news show armchair quarterbacks who have to 55 00:03:25,400 --> 00:03:28,440 Speaker 1: fill the hour with no new information on the story 56 00:03:28,480 --> 00:03:32,360 Speaker 1: with something it's completely enoughheard of to not have a 57 00:03:32,400 --> 00:03:34,920 Speaker 1: press conference. I don't know what kind of amateur hour 58 00:03:34,920 --> 00:03:36,760 Speaker 1: we're dealing with here, you know, that sort of stuff. 59 00:03:37,200 --> 00:03:40,880 Speaker 1: But they're having a press conference today, which to me 60 00:03:41,000 --> 00:03:44,160 Speaker 1: is fine. But although I did hear the sheriff asked 61 00:03:45,120 --> 00:03:47,320 Speaker 1: what I hear mask that I was somewhat troubled by. 62 00:03:47,800 --> 00:03:51,640 Speaker 1: I mean, it's not his fault. How would all you 63 00:03:51,760 --> 00:03:54,320 Speaker 1: do who've never been, you know, had a microphone stuck 64 00:03:54,360 --> 00:03:56,640 Speaker 1: in your face with five TV cameras around you, when 65 00:03:56,680 --> 00:03:59,080 Speaker 1: you start getting grilled on stuff, I mean, that's it's 66 00:03:59,120 --> 00:04:00,800 Speaker 1: a tough position to be and if you've never done 67 00:04:00,840 --> 00:04:05,200 Speaker 1: it before. But he was asked about if you if 68 00:04:05,240 --> 00:04:07,640 Speaker 1: you think she's still alive, and he said, yeah, I 69 00:04:07,640 --> 00:04:11,000 Speaker 1: think so. H are you basing that on anything? And 70 00:04:11,040 --> 00:04:13,320 Speaker 1: then uh, And then the reporter asked him, I thought 71 00:04:13,320 --> 00:04:16,040 Speaker 1: this was an awful question, but there is the possibility 72 00:04:16,120 --> 00:04:18,960 Speaker 1: she's dead. And he said, oh yeah, of course, thought 73 00:04:19,080 --> 00:04:23,880 Speaker 1: what what is what is that? What is that conversation? Idiotic? 74 00:04:24,240 --> 00:04:28,839 Speaker 1: I think that's that for Oh yeah, what what's what? 75 00:04:28,960 --> 00:04:33,000 Speaker 1: A stupid question? Turn in your reporter card such a 76 00:04:33,040 --> 00:04:35,960 Speaker 1: thing exists? Probably not. Don't report on anything ever again, 77 00:04:36,200 --> 00:04:40,600 Speaker 1: go home, get a new job. Ashley Banfield, who used 78 00:04:40,600 --> 00:04:43,080 Speaker 1: to be a big deal way back in the day. 79 00:04:43,080 --> 00:04:45,080 Speaker 1: For some reason, I don't remember what she was. She 80 00:04:45,200 --> 00:04:47,919 Speaker 1: was reporting with a headscarf on in Iraq at the 81 00:04:47,920 --> 00:04:49,760 Speaker 1: beginning of the war or something. Anyway, it doesn't matter. 82 00:04:49,880 --> 00:04:52,839 Speaker 3: She was at the very tail end when CNN was 83 00:04:52,839 --> 00:04:53,880 Speaker 3: at all respectable. 84 00:04:54,800 --> 00:04:57,480 Speaker 1: She is a hack and here's her speculating over the 85 00:04:57,520 --> 00:04:58,359 Speaker 1: last couple of days. 86 00:04:58,600 --> 00:05:03,599 Speaker 5: One law enforcement source, very connected, highly regarded impeccable credentials. 87 00:05:04,160 --> 00:05:10,040 Speaker 5: Knowledge of this investigation says that thomaso Cioni, Annie P. 88 00:05:10,160 --> 00:05:13,159 Speaker 5: Guthrie's husband, maybe the prime suspect in this case. In 89 00:05:13,240 --> 00:05:19,120 Speaker 5: Annie's vehicle has been towed, impounded and is now in evidence. 90 00:05:19,720 --> 00:05:23,000 Speaker 5: At the very least, let me tamp that down, because 91 00:05:23,400 --> 00:05:27,760 Speaker 5: sometimes it's the first person you're looking at, not prime, 92 00:05:27,920 --> 00:05:29,839 Speaker 5: as in there's no one else, Okay, so let's be 93 00:05:29,920 --> 00:05:33,240 Speaker 5: really mindful of that. Families are always looked at first 94 00:05:33,279 --> 00:05:33,640 Speaker 5: as well. 95 00:05:33,800 --> 00:05:38,560 Speaker 1: Okay, so you're tamping down a rumor that you're starting. Correct. 96 00:05:39,200 --> 00:05:42,720 Speaker 1: So that crying woman you just heard from at the 97 00:05:42,760 --> 00:05:46,240 Speaker 1: beginning of this segment, Annie whose mom is missing and 98 00:05:46,320 --> 00:05:51,880 Speaker 1: I'm sure their worried is already dead, her husband killed mom. 99 00:05:51,920 --> 00:05:55,440 Speaker 1: According to Ashley Banfield, that's the prime suspect. Nobody else 100 00:05:55,520 --> 00:05:58,680 Speaker 1: is reporting that at all. So only Ashley and as 101 00:05:58,760 --> 00:06:01,360 Speaker 1: Joe pointed out earlier, and we're supposed to believe that 102 00:06:01,800 --> 00:06:04,719 Speaker 1: somebody at a level where they would have the knowledge 103 00:06:04,760 --> 00:06:07,680 Speaker 1: of who the prime suspect is decided to leak it 104 00:06:08,120 --> 00:06:11,520 Speaker 1: and chose Ashley Banfield as the way to get it out, 105 00:06:11,520 --> 00:06:14,479 Speaker 1: but nobody else. I'm not talking telling the New York 106 00:06:14,520 --> 00:06:18,280 Speaker 1: Times or NBC News or any of the many heavyweight 107 00:06:18,880 --> 00:06:21,680 Speaker 1: nom Gonna go with Ashley Banfield in her podcast for 108 00:06:21,720 --> 00:06:22,520 Speaker 1: who the prime. 109 00:06:22,320 --> 00:06:26,039 Speaker 3: Suspect is, even though the very knowledgeable miss Banfield pointed 110 00:06:26,080 --> 00:06:27,960 Speaker 3: out that no, that might just be the first person 111 00:06:28,000 --> 00:06:30,960 Speaker 3: they're looking at. I think the whole thing is hogwashed. 112 00:06:30,960 --> 00:06:37,760 Speaker 3: The world oh click baity podcasts has realized there's no 113 00:06:38,160 --> 00:06:42,320 Speaker 3: premium for telling the truth. There's no particular The other 114 00:06:42,320 --> 00:06:44,279 Speaker 3: way to put it is, there's no particular penalty for 115 00:06:44,360 --> 00:06:45,280 Speaker 3: lying constantly. 116 00:06:45,520 --> 00:06:49,240 Speaker 1: A lot of the top podcasts in the world lie constantly, 117 00:06:49,880 --> 00:06:51,760 Speaker 1: you know what, And I can understand. I hate it. 118 00:06:51,760 --> 00:06:53,560 Speaker 1: I wouldn't do it. We don't do it. But I 119 00:06:53,600 --> 00:06:57,440 Speaker 1: can see how if I'm just a regular person and 120 00:06:57,480 --> 00:06:59,680 Speaker 1: I got a couple of different news outlets covering this 121 00:06:59,760 --> 00:07:03,120 Speaker 1: story that I find jazzy enough to get my attention 122 00:07:03,160 --> 00:07:05,880 Speaker 1: every single day, and one of them says they know 123 00:07:05,920 --> 00:07:08,400 Speaker 1: who a prime suspect is. That's what I'm going to 124 00:07:08,480 --> 00:07:12,520 Speaker 1: listen to, yep, even though it's crap. And how about 125 00:07:12,560 --> 00:07:16,720 Speaker 1: that poor guy most likely as upset as his wife, 126 00:07:16,760 --> 00:07:19,120 Speaker 1: really worried about his wife and how upset she is, 127 00:07:19,920 --> 00:07:23,280 Speaker 1: and some hack on a podcast is claiming he's the 128 00:07:23,280 --> 00:07:26,520 Speaker 1: prime suspect. How's that fun thing to deal with? I'm 129 00:07:26,520 --> 00:07:29,800 Speaker 1: sure that's gotten back to the family. Yeah, maybe i'llo 130 00:07:30,000 --> 00:07:33,080 Speaker 1: her crappy podcast. She's part of the News Nation team. 131 00:07:33,120 --> 00:07:38,160 Speaker 1: I guess they played a podcast. Does a podcast under 132 00:07:38,200 --> 00:07:42,240 Speaker 1: their I wasn't digging under Rocks for Ashley Banfield's podcast. 133 00:07:42,360 --> 00:07:44,880 Speaker 1: They played that on News Nation for their morning news 134 00:07:44,880 --> 00:07:49,400 Speaker 1: show today. Wow. Wow, I think that's really out of bound. 135 00:07:49,840 --> 00:07:54,360 Speaker 1: And you can't you can't be claiming family members did 136 00:07:54,360 --> 00:07:59,720 Speaker 1: it unless you got some real solid information that that's 137 00:07:59,720 --> 00:08:04,040 Speaker 1: what the I said, A high high source only told 138 00:08:04,120 --> 00:08:07,960 Speaker 1: me this, only told me hack Ashley Banfield. Correct, not 139 00:08:08,120 --> 00:08:12,640 Speaker 1: John Miller, CNN hack, who's got all kinds of non 140 00:08:12,720 --> 00:08:15,920 Speaker 1: hack hack network FB high connections and all kinds of 141 00:08:15,960 --> 00:08:18,080 Speaker 1: people at the very highest levels. Don't tell him, tell 142 00:08:18,120 --> 00:08:22,440 Speaker 1: Ashley Banfield. Right, that's out all that's out of line. 143 00:08:22,560 --> 00:08:27,680 Speaker 1: I couldn't do that. So what what's your what's your 144 00:08:27,720 --> 00:08:32,400 Speaker 1: working theory? 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So we're on in various 169 00:09:38,360 --> 00:09:42,920 Speaker 1: stations in Arizona and all over the country. And you know, 170 00:09:43,000 --> 00:09:45,559 Speaker 1: I don't say this hoping the I hope the family 171 00:09:45,600 --> 00:09:47,080 Speaker 1: doesn't hear it or anything like that. This is just 172 00:09:47,160 --> 00:09:50,040 Speaker 1: me treating this like a TV show, not like real 173 00:09:50,120 --> 00:09:52,560 Speaker 1: human beings, I guess. But I think the most likely 174 00:09:52,640 --> 00:09:56,840 Speaker 1: thing is they find the poor old woman dead somewhere. 175 00:09:57,679 --> 00:10:01,080 Speaker 1: I think everybody's yeah, agreed on that they find her, 176 00:10:01,120 --> 00:10:03,160 Speaker 1: you know, out in the bushes in the desert. He 177 00:10:03,240 --> 00:10:04,719 Speaker 1: killed her, or she died on her own and he 178 00:10:04,800 --> 00:10:07,319 Speaker 1: dumped her there. And then eventually they'll find the scumbag, 179 00:10:07,559 --> 00:10:09,800 Speaker 1: maybe with a bullet in his head, who knows. 180 00:10:09,880 --> 00:10:15,480 Speaker 3: Yeah, the history of these crimes is full of would 181 00:10:15,559 --> 00:10:19,199 Speaker 3: be criminal geniuses who are actually half wits, and they 182 00:10:19,240 --> 00:10:22,040 Speaker 3: botch everything, and it just it's it's awful. 183 00:10:22,200 --> 00:10:26,679 Speaker 1: How often is it kidnapping successful? Anyway? How often do 184 00:10:26,720 --> 00:10:30,280 Speaker 1: you actually are you actually able to on both sides 185 00:10:30,320 --> 00:10:32,160 Speaker 1: get what you want? You want your loved one back, 186 00:10:32,200 --> 00:10:34,040 Speaker 1: the other person wants the money and to get away. 187 00:10:34,240 --> 00:10:36,720 Speaker 1: I wonder how often that actually happens, because the old 188 00:10:37,040 --> 00:10:40,000 Speaker 1: the trade off, you know, as a classic how the 189 00:10:40,040 --> 00:10:41,720 Speaker 1: hell do you do it? You walk across a bridge 190 00:10:41,720 --> 00:10:43,680 Speaker 1: with a briefcase, and the person with their hands tied 191 00:10:43,720 --> 00:10:47,480 Speaker 1: or whatever you do. But it always requires some trust 192 00:10:47,600 --> 00:10:51,480 Speaker 1: on both sides, and how often does it ever actually work? 193 00:10:51,520 --> 00:10:55,000 Speaker 1: It's got the percentage has got to be incredibly low. Yeah, 194 00:10:55,000 --> 00:10:57,480 Speaker 1: I would guess it's it's very, very small. Yeah, the 195 00:10:58,160 --> 00:11:03,199 Speaker 1: world of cryptocurrente has made the money exchange much safer 196 00:11:03,280 --> 00:11:07,959 Speaker 1: for the monster. I mean, ransomware attacks. 197 00:11:07,600 --> 00:11:10,960 Speaker 3: Are essentially, you know, kidnapping a computer system, and it's 198 00:11:11,000 --> 00:11:14,040 Speaker 3: pretty easy to get paid these days. We've seen a 199 00:11:14,080 --> 00:11:16,480 Speaker 3: ton of those obviously, but you'd. 200 00:11:16,320 --> 00:11:18,720 Speaker 1: Still have to have some trust involved there, because I'm 201 00:11:18,720 --> 00:11:21,800 Speaker 1: not one hundred percent. Yeah I'm not. You know, I'm 202 00:11:21,800 --> 00:11:23,959 Speaker 1: not sending you the money until I know you got 203 00:11:24,280 --> 00:11:25,760 Speaker 1: her or you're going to give her back to me. 204 00:11:25,960 --> 00:11:27,800 Speaker 1: And he's saying, well, I'm not sending you the money. 205 00:11:27,920 --> 00:11:29,680 Speaker 1: I mean, on the first one you can figure out, 206 00:11:29,720 --> 00:11:31,960 Speaker 1: the second one you can't. Right, You've just got to 207 00:11:31,960 --> 00:11:34,760 Speaker 1: hope they come through, and their lives would be easier 208 00:11:34,800 --> 00:11:37,679 Speaker 1: if they drop off the victim, as opposed to you know, 209 00:11:37,840 --> 00:11:41,680 Speaker 1: adding murder to their many charges. It's grim. It's a 210 00:11:41,679 --> 00:11:46,120 Speaker 1: horrible crime. Yeah, but the likelihood of success so low. 211 00:11:46,160 --> 00:11:48,760 Speaker 1: It's amazing that it happens very often. Back to my 212 00:11:49,200 --> 00:11:52,840 Speaker 1: half wit spree. That is the problem. It's a moron, 213 00:11:53,520 --> 00:11:59,120 Speaker 1: some moron from Arizona who heard that Savannah Guthrie's mom 214 00:11:59,240 --> 00:12:01,600 Speaker 1: lives in that neghborhood over there. I know what I'll do, 215 00:12:01,880 --> 00:12:04,800 Speaker 1: says the moron. Yeah. 216 00:12:04,920 --> 00:12:07,040 Speaker 3: On a lighter note, because everything's a lighter note. Are 217 00:12:07,040 --> 00:12:09,800 Speaker 3: you looking for a side hustle. Here's this medical facility 218 00:12:09,800 --> 00:12:14,559 Speaker 3: that lets patients get drunk, stoned or trip on drugs, 219 00:12:14,600 --> 00:12:17,440 Speaker 3: watch sports, and eat potato chips so they can be studied. 220 00:12:17,559 --> 00:12:22,680 Speaker 1: It a college. It's just a college dorm. The details 221 00:12:22,679 --> 00:12:23,800 Speaker 1: coming up. Stay with us. 222 00:12:25,800 --> 00:12:26,079 Speaker 2: Strong. 223 00:12:27,760 --> 00:12:30,719 Speaker 1: We have found a one hundred and fifty year old 224 00:12:30,720 --> 00:12:33,959 Speaker 1: bottle of alcohol to eighteen seventies eighteen nineties. This is 225 00:12:34,000 --> 00:12:35,040 Speaker 1: the era we're dealing with. 226 00:12:35,240 --> 00:12:38,080 Speaker 4: It's in reasonably good shape, I would say, after sitting 227 00:12:38,160 --> 00:12:39,400 Speaker 4: for one hundred and fifty years. 228 00:12:39,480 --> 00:12:41,920 Speaker 1: You know, very very slight vinegar. When we're smelling the 229 00:12:41,960 --> 00:12:45,640 Speaker 1: cork giver shot doesn't smell that kind of an oxidized fruit. Note, 230 00:12:46,160 --> 00:12:50,760 Speaker 1: it's fruity. That's beer. There is a little bit of leather. 231 00:12:51,200 --> 00:12:52,160 Speaker 1: You have to try it. 232 00:12:53,320 --> 00:12:56,240 Speaker 5: Yeah, beer's beer because it's kind of as like a 233 00:12:56,320 --> 00:12:58,280 Speaker 5: yeasty element in the background. 234 00:12:58,960 --> 00:13:01,200 Speaker 1: Cati, you are making funny face to the people tasting 235 00:13:01,200 --> 00:13:03,120 Speaker 1: me one hundred and fifty year old bottle of wine. 236 00:13:03,120 --> 00:13:05,760 Speaker 3: I'm guessing alcohol. They just don't know what it is. 237 00:13:05,800 --> 00:13:07,520 Speaker 3: That's the whole point, and they think it's beer. 238 00:13:07,559 --> 00:13:10,360 Speaker 1: At the end. You never want something with a yeasty element. 239 00:13:10,559 --> 00:13:15,480 Speaker 1: I'm getting. I'm getting notes of reconstruction with a little 240 00:13:15,520 --> 00:13:18,280 Speaker 1: bit of a getting a little McKinley in there. I'm 241 00:13:18,320 --> 00:13:21,280 Speaker 1: getting a set up just so. The aftertaste of Custar's 242 00:13:21,360 --> 00:13:28,480 Speaker 1: last stand uh wow, years old. You see, I'm not 243 00:13:28,520 --> 00:13:31,200 Speaker 1: sure I would ingest that. I don't think I would either, No, 244 00:13:34,080 --> 00:13:35,960 Speaker 1: even if it was tasted by like somebody to make 245 00:13:35,960 --> 00:13:36,840 Speaker 1: sure it wasn't poison. 246 00:13:36,920 --> 00:13:39,079 Speaker 3: At this point, I was just gonna say, hey, Michael, 247 00:13:39,120 --> 00:13:40,520 Speaker 3: get ready with the harp noise. 248 00:13:41,160 --> 00:13:45,000 Speaker 1: One hundred and fifty years ago today, Hey. 249 00:13:44,840 --> 00:13:48,559 Speaker 3: Ma, I'm gonna store this rat poison in this here bottle. 250 00:13:49,080 --> 00:13:53,400 Speaker 1: You don't be drinking anything a problem. Why do you 251 00:13:53,559 --> 00:13:57,280 Speaker 1: keep all your urine in bottles, jip. I just feel 252 00:13:57,320 --> 00:14:00,440 Speaker 1: like I should keep my urine for posterity. Need it. 253 00:14:02,280 --> 00:14:06,840 Speaker 1: Don't question me. Woman. Now in the modern day, I'm 254 00:14:06,840 --> 00:14:16,240 Speaker 1: detecting eastinoes. Wow. Oh, nice old Jeb and. 255 00:14:16,320 --> 00:14:23,600 Speaker 3: His urine saving proclivities. Oh boy, speaking of drinking. Looking 256 00:14:23,640 --> 00:14:25,800 Speaker 3: for a side hustle, why don't you give a call 257 00:14:25,880 --> 00:14:30,400 Speaker 3: to the new north Well Health Medical Facility in Long Island, 258 00:14:30,640 --> 00:14:35,520 Speaker 3: New York, where patients are being given the greenlight to 259 00:14:35,560 --> 00:14:40,080 Speaker 3: get quote frat house high on magic mushrooms, MDMA, and 260 00:14:40,200 --> 00:14:43,320 Speaker 3: cannabis while watching sports and chowing down on chips, all 261 00:14:43,320 --> 00:14:44,560 Speaker 3: in the name of medical science. 262 00:14:44,600 --> 00:14:46,840 Speaker 1: Now, oh, I don't know what MDMA. There's another thing 263 00:14:46,880 --> 00:14:48,200 Speaker 1: my kid could be doing. I don't even know. 264 00:14:48,360 --> 00:14:54,600 Speaker 3: Nevermber Molly Holly ecstasy ish, says the director of the 265 00:14:54,880 --> 00:15:00,640 Speaker 3: Manhassan based Feinstein Family Human Neuropsychopharmacology Lab. It's easy for 266 00:15:00,680 --> 00:15:03,920 Speaker 3: you to say, we're studying full doses that produce anywhere 267 00:15:03,920 --> 00:15:07,640 Speaker 3: from a four to six hour trip. They're trying to 268 00:15:07,800 --> 00:15:13,280 Speaker 3: assess different substances ability to treat things like schizophrenia, schizophrenia 269 00:15:13,320 --> 00:15:15,920 Speaker 3: and social anxiety. 270 00:15:18,000 --> 00:15:21,040 Speaker 1: Many of those treat social anxiety. I can attest to this. 271 00:15:22,200 --> 00:15:24,720 Speaker 1: The venture focuses on, at least briefly. 272 00:15:25,360 --> 00:15:29,240 Speaker 3: Yeah, it focuses on naturalistic environments that embody either the 273 00:15:29,240 --> 00:15:31,520 Speaker 3: comfort of one's living room where patient's gonna get stoned, 274 00:15:31,600 --> 00:15:34,920 Speaker 3: or a live bar setting for getting drunk, completely complete 275 00:15:34,920 --> 00:15:39,440 Speaker 3: with high deftvs showing sports, highlights, snacks and refills on demand. 276 00:15:39,920 --> 00:15:41,600 Speaker 1: Do you really need to do this? Can you just 277 00:15:41,720 --> 00:15:44,080 Speaker 1: ask a whole bunch of people who've lived that lifestyle 278 00:15:44,120 --> 00:15:45,000 Speaker 1: a lot questions. 279 00:15:45,040 --> 00:15:48,440 Speaker 3: I'm trying to explain the science to you. Okay, all right. 280 00:15:50,400 --> 00:15:52,760 Speaker 3: They have to answer questions. They'll have to report on 281 00:15:52,880 --> 00:15:56,000 Speaker 3: their mood state. There's downtime when they can enjoy them. 282 00:15:56,000 --> 00:16:00,120 Speaker 1: So has amorous hungry? 283 00:16:00,600 --> 00:16:05,680 Speaker 3: You got a boyfriend, I'm asking you a questions? So 284 00:16:05,720 --> 00:16:08,720 Speaker 3: they give them big old doses a psilocybin, the main 285 00:16:08,760 --> 00:16:11,640 Speaker 3: component of magic mushrooms, et cetera, cetera. 286 00:16:11,680 --> 00:16:13,120 Speaker 1: Here's my favorite part. 287 00:16:14,000 --> 00:16:16,600 Speaker 3: The center has two dedicated rooms to monitor different drug 288 00:16:16,680 --> 00:16:18,520 Speaker 3: users that are tailored to make the users of the 289 00:16:18,560 --> 00:16:22,160 Speaker 3: substances feel especially cozy. One room has bluish mood lighting 290 00:16:22,240 --> 00:16:25,080 Speaker 3: for someone tripping on psychedelics. Well, another room is let 291 00:16:25,120 --> 00:16:29,920 Speaker 3: in green for cannabis. Let's see, So you get hammered 292 00:16:30,280 --> 00:16:32,360 Speaker 3: and then and they want you to be in a 293 00:16:32,360 --> 00:16:34,760 Speaker 3: comfortable environment like you would be in. 294 00:16:35,040 --> 00:16:37,680 Speaker 1: Like a comfortable chair in front of a television. 295 00:16:39,000 --> 00:16:41,640 Speaker 3: Then they observe you through one way glass in a 296 00:16:41,680 --> 00:16:46,040 Speaker 3: series of cameras then at once at some point they 297 00:16:46,120 --> 00:16:49,960 Speaker 3: like start quizzing you and make you memorize like a 298 00:16:50,040 --> 00:16:56,240 Speaker 3: sequence of numbers, or that there's a test driving simulator 299 00:16:56,320 --> 00:17:00,640 Speaker 3: that'd be fun. But making me do like memory acrobatics 300 00:17:00,640 --> 00:17:04,560 Speaker 3: when I'm like super high. Oh, so, after people had 301 00:17:04,560 --> 00:17:06,760 Speaker 3: some drinks, we asked them to remember a string of numbers, 302 00:17:06,840 --> 00:17:09,040 Speaker 3: do addition, or make choices out of a series of 303 00:17:09,080 --> 00:17:10,560 Speaker 3: choices that are available to them. 304 00:17:10,600 --> 00:17:13,040 Speaker 1: Choices like bittercreen, choices like her or her. 305 00:17:14,160 --> 00:17:18,200 Speaker 3: Yeah, no, no, it's probably much more anodyne than. 306 00:17:18,119 --> 00:17:22,400 Speaker 1: That, but wow, it looks pretty nice. Got a big, 307 00:17:22,400 --> 00:17:27,800 Speaker 1: old big screen watching TV there. So CBS did a 308 00:17:27,840 --> 00:17:29,720 Speaker 1: report on self driving cars last night. I thought it 309 00:17:29,720 --> 00:17:31,440 Speaker 1: was kind of interesting. You want to touch on that also, 310 00:17:32,840 --> 00:17:35,080 Speaker 1: I don't know if you know Philosopher Bertrand Russell. He 311 00:17:35,119 --> 00:17:39,520 Speaker 1: was born back when they made that booze late eighteen hundreds. Anyway, 312 00:17:39,640 --> 00:17:43,040 Speaker 1: his description of socialism I came across over the weekend 313 00:17:43,040 --> 00:17:44,440 Speaker 1: I thought was one of the best I've ever heard. 314 00:17:44,480 --> 00:17:45,560 Speaker 1: I'm going to use it for the rest of my 315 00:17:45,600 --> 00:17:48,200 Speaker 1: life to describe it. I love that. Among other things, 316 00:17:48,200 --> 00:17:51,280 Speaker 1: we got on the way and plus a new feature 317 00:17:51,280 --> 00:17:53,679 Speaker 1: at in our four of the show. Yes, we do 318 00:17:53,760 --> 00:17:57,720 Speaker 1: four hours come for sure, these untied States. 319 00:17:58,400 --> 00:18:01,639 Speaker 3: It's an amigram for these United States. Some of the 320 00:18:01,680 --> 00:18:04,440 Speaker 3: whackier crap going around going on around the country. 321 00:18:04,480 --> 00:18:11,920 Speaker 1: Oh cool, I like that. Laboratories of Democracy, Fantastic, Armstrong 322 00:18:12,040 --> 00:18:12,560 Speaker 1: and Getty. 323 00:18:14,240 --> 00:18:18,640 Speaker 6: Microsoft founder Bill Gates apologizing for his association with sex 324 00:18:18,680 --> 00:18:22,520 Speaker 6: offender Jeffrey Epstein, saying he regrets every minute they spent together. 325 00:18:22,760 --> 00:18:24,720 Speaker 1: I was foolish to spend time with him. I was 326 00:18:24,800 --> 00:18:27,240 Speaker 1: one of many people who ever knowing him. 327 00:18:27,440 --> 00:18:30,400 Speaker 6: Gates said he never witnessed or took part in any 328 00:18:30,520 --> 00:18:34,959 Speaker 6: inappropriate behavior. He insists his relationship with Epstein was focused 329 00:18:35,000 --> 00:18:36,960 Speaker 6: on raising money for global health. 330 00:18:37,880 --> 00:18:41,560 Speaker 1: Now his ex wife, we played that clip yesterday. She 331 00:18:41,640 --> 00:18:45,840 Speaker 1: was on a podcast earlier in the week saying that's 332 00:18:45,920 --> 00:18:48,719 Speaker 1: the reason they divorced. That's the reason she left her husband. 333 00:18:48,760 --> 00:18:54,120 Speaker 1: She obviously believed he was doing something creepy, right, Yeah, at. 334 00:18:54,000 --> 00:18:57,200 Speaker 3: The very least hanging out in places where people hooked 335 00:18:57,240 --> 00:19:02,720 Speaker 3: up and had sex. The number of folks who persisted 336 00:19:02,840 --> 00:19:05,840 Speaker 3: in being in contact with Epstein from all walks of 337 00:19:05,880 --> 00:19:10,200 Speaker 3: life is really interesting, including several like of the highest 338 00:19:10,359 --> 00:19:13,760 Speaker 3: members or officials in the Labor Party in Britain, and 339 00:19:13,800 --> 00:19:17,000 Speaker 3: it was all about monetary connections, all about money flowing 340 00:19:17,080 --> 00:19:20,880 Speaker 3: back and forth and insider trading tips and doing favors 341 00:19:20,920 --> 00:19:21,680 Speaker 3: and that sort of thing. 342 00:19:23,760 --> 00:19:26,880 Speaker 1: Have you seen the one elon the email from elon, Hey, 343 00:19:26,880 --> 00:19:30,200 Speaker 1: you got any wild parties coming up? I need to Yeah. 344 00:19:30,240 --> 00:19:32,040 Speaker 1: I think he said something like I need to let 345 00:19:32,080 --> 00:19:34,000 Speaker 1: loose or something like that, I've been working so much 346 00:19:34,080 --> 00:19:38,240 Speaker 1: or something like that. And that's like it. I mean, 347 00:19:38,320 --> 00:19:42,160 Speaker 1: is that enough to assume that he means I want 348 00:19:42,200 --> 00:19:44,760 Speaker 1: to go to the island and have sex with seventeen 349 00:19:44,800 --> 00:19:48,480 Speaker 1: year old girls. No, no, I see a lot of people. 350 00:19:49,280 --> 00:19:52,240 Speaker 1: Well I can't help them. By the way, the interesting 351 00:19:52,240 --> 00:19:55,920 Speaker 1: part of that email was sent on Christmas morning, December 352 00:19:56,000 --> 00:19:59,760 Speaker 1: twenty fifth, whatever the Christmas Who gets up on the 353 00:19:59,760 --> 00:20:01,640 Speaker 1: twin fift things? Man, I need to go to Jeff 354 00:20:01,640 --> 00:20:05,960 Speaker 1: Epstein's island. All that rapping and eggnug hey, I need 355 00:20:05,960 --> 00:20:08,320 Speaker 1: to break So A I don't care, and B I 356 00:20:08,359 --> 00:20:08,760 Speaker 1: give up. 357 00:20:08,800 --> 00:20:12,440 Speaker 3: But there seems to be this assumption among people that 358 00:20:13,240 --> 00:20:17,200 Speaker 3: every single day everything he did included a nude seventeen 359 00:20:17,280 --> 00:20:19,399 Speaker 3: year old Epstein. 360 00:20:20,720 --> 00:20:23,480 Speaker 1: Well, the only reason it's not true the only reason 361 00:20:23,520 --> 00:20:26,920 Speaker 1: I bring this up is I've had two this week 362 00:20:27,280 --> 00:20:32,800 Speaker 1: people I know and like, who gently prodded me that 363 00:20:32,880 --> 00:20:35,680 Speaker 1: they're a little disappointed at how flippant we are about 364 00:20:35,680 --> 00:20:39,600 Speaker 1: this story compared to everybody else, Republicans and Democrats. 365 00:20:39,640 --> 00:20:42,320 Speaker 3: Really, what version of it are we talking about? Well, 366 00:20:42,359 --> 00:20:44,159 Speaker 3: that's what I always have to ask. Yeah, I know, 367 00:20:44,280 --> 00:20:45,480 Speaker 3: that's that's the problem I have. 368 00:20:46,240 --> 00:20:53,400 Speaker 1: So one, I don't believe there's a giant global child 369 00:20:53,840 --> 00:20:58,160 Speaker 1: sex trafficking, rape dismemberment ring at all. So that's off 370 00:20:58,160 --> 00:21:01,639 Speaker 1: the table. That includes the Bushes, the Obama's, Israel and 371 00:21:01,680 --> 00:21:05,480 Speaker 1: everything I got. That's off the table. It's known that 372 00:21:05,560 --> 00:21:10,080 Speaker 1: Jeffrey Epstem, you know, forced women that were, you know, 373 00:21:10,200 --> 00:21:13,359 Speaker 1: teenagers under eighteen into situations where they were alone with 374 00:21:13,440 --> 00:21:14,760 Speaker 1: men and had to have sex with them and all 375 00:21:14,760 --> 00:21:17,960 Speaker 1: this sort of stuff. We know that happened, which is awful. 376 00:21:18,560 --> 00:21:20,760 Speaker 1: That's why he was in jail and ended up hanging 377 00:21:20,840 --> 00:21:26,280 Speaker 1: himself as is ms Maxwell. Yes, but if he also 378 00:21:26,480 --> 00:21:29,600 Speaker 1: had women who were and I assume this is true, 379 00:21:30,359 --> 00:21:33,840 Speaker 1: willingly there knowing exactly what they were getting into. They 380 00:21:33,880 --> 00:21:37,160 Speaker 1: were over the age of eighteen, hanging out with super 381 00:21:37,240 --> 00:21:39,080 Speaker 1: rich dudes, who were they were willing to do things 382 00:21:39,119 --> 00:21:42,040 Speaker 1: with because it makes for a cool lifestyle. Am I 383 00:21:42,040 --> 00:21:44,440 Speaker 1: supposed to be super upset about that. I don't like that. 384 00:21:44,520 --> 00:21:46,760 Speaker 1: I don't dig that. But it's not against the law 385 00:21:47,680 --> 00:21:49,440 Speaker 1: right exactly. And that's what I was hinting at. 386 00:21:49,640 --> 00:21:54,600 Speaker 3: Ask any NBA player about parties where women are more 387 00:21:54,640 --> 00:21:58,080 Speaker 3: than willing to be sexually available, including young women, not 388 00:21:58,160 --> 00:22:01,720 Speaker 3: underage women, but very young women. It's just it's not 389 00:22:02,080 --> 00:22:08,320 Speaker 3: crazy in the circles of the super rich. So if 390 00:22:08,640 --> 00:22:10,880 Speaker 3: Elon Musk said, hey, you haven't any of your big parties, 391 00:22:11,040 --> 00:22:15,040 Speaker 3: I'll bet Elon. I'll bet Jeffrey Epstein had unbelievable blowout 392 00:22:15,080 --> 00:22:20,000 Speaker 3: parties with booze and food and hot looking models and 393 00:22:20,040 --> 00:22:22,160 Speaker 3: all sorts of stuff in which there were no seventeen 394 00:22:22,240 --> 00:22:22,960 Speaker 3: year olds at all. 395 00:22:24,600 --> 00:22:27,040 Speaker 1: Actually, Elon said something to that effect the other day 396 00:22:27,040 --> 00:22:32,440 Speaker 1: on a podcast. He said, trust me, if I need 397 00:22:32,480 --> 00:22:36,480 Speaker 1: to find companionship, it's not hard given my name and 398 00:22:36,520 --> 00:22:39,159 Speaker 1: recognition and everything like that. I'm sure true. He's the 399 00:22:39,280 --> 00:22:42,960 Speaker 1: richest man in the world, also a pretty decent looking guy, 400 00:22:43,240 --> 00:22:45,439 Speaker 1: and the richest man in the world. I don't think 401 00:22:45,480 --> 00:22:48,160 Speaker 1: he probably needs I think he specifically said, I don't 402 00:22:48,200 --> 00:22:55,800 Speaker 1: need Jeffrey Epstein to facilitate me getting companionship. I'm sure 403 00:22:55,880 --> 00:23:01,320 Speaker 1: that's true, right, Although facilitate getting underage companionship, you might 404 00:23:01,359 --> 00:23:03,800 Speaker 1: need somebody if that's what he wanted, but I don't have. 405 00:23:04,040 --> 00:23:05,960 Speaker 1: But there's no proof of that whatsoever. 406 00:23:06,640 --> 00:23:11,160 Speaker 3: And you know what nobody has talked about, because as 407 00:23:11,200 --> 00:23:13,919 Speaker 3: soon as it's found out that whomever, and there's a 408 00:23:14,040 --> 00:23:16,919 Speaker 3: kind of a long list grown right now who claimed, 409 00:23:16,920 --> 00:23:20,119 Speaker 3: oh yeah, I dropped any contact with him immediately after 410 00:23:20,320 --> 00:23:22,800 Speaker 3: the conviction or whatever, we haven't been in contact. 411 00:23:22,840 --> 00:23:26,320 Speaker 1: Then it turns out you've been sending emails for years. Yeah, 412 00:23:26,400 --> 00:23:27,560 Speaker 1: all sorts of folks like that. 413 00:23:27,640 --> 00:23:31,640 Speaker 3: They continued the contacts, the relationship, et cetera. I want 414 00:23:32,160 --> 00:23:36,360 Speaker 3: a handful of them to explain it honestly, which I'm 415 00:23:36,400 --> 00:23:36,960 Speaker 3: not going to get. 416 00:23:36,960 --> 00:23:39,640 Speaker 1: But say, Howard Lutnix one of them. He's the one 417 00:23:39,640 --> 00:23:42,399 Speaker 1: we played the clip back in the day of you know, 418 00:23:42,400 --> 00:23:44,159 Speaker 1: I went over there and ate a massage table in 419 00:23:44,160 --> 00:23:46,640 Speaker 1: the middle of his house and we left right away. 420 00:23:46,640 --> 00:23:48,920 Speaker 1: And I told my wife after we left the house, 421 00:23:48,960 --> 00:23:50,840 Speaker 1: since we got out on the sidewalk, I said, we 422 00:23:50,920 --> 00:23:53,760 Speaker 1: are never talking to that guy again. And then there 423 00:23:53,800 --> 00:23:59,160 Speaker 1: are emails of him communicating with Epstein after I want 424 00:23:59,160 --> 00:24:00,000 Speaker 1: to hear them explain it. 425 00:24:00,400 --> 00:24:03,720 Speaker 3: The guy was so incredibly well connected you just could 426 00:24:03,760 --> 00:24:08,119 Speaker 3: hardly avoid it in the New York financial circles. Or 427 00:24:08,160 --> 00:24:11,720 Speaker 3: I don't know, he's just so charming, or he told 428 00:24:11,760 --> 00:24:14,080 Speaker 3: me he thought the girl was eighteen that he got 429 00:24:14,119 --> 00:24:14,720 Speaker 3: convicted for. 430 00:24:15,240 --> 00:24:17,119 Speaker 1: Or I just want them to explain it. 431 00:24:17,359 --> 00:24:19,960 Speaker 3: What does the poll this guy have And no, it's 432 00:24:19,960 --> 00:24:21,280 Speaker 3: not that he works for the IDF. 433 00:24:21,359 --> 00:24:24,240 Speaker 1: By the way, stop it. One other thing on Epstein 434 00:24:24,320 --> 00:24:27,400 Speaker 1: before we move on Bill and Hillary Clinton apparently, Oh, 435 00:24:27,400 --> 00:24:31,600 Speaker 1: while they agreed to testify, I don't know what specifically 436 00:24:31,600 --> 00:24:34,760 Speaker 1: they're going to be asked about, but they're really pushing 437 00:24:34,800 --> 00:24:37,240 Speaker 1: to make it public. So currently it's going to be 438 00:24:37,359 --> 00:24:39,719 Speaker 1: filmed behind closed doors and then I guess we get 439 00:24:39,760 --> 00:24:43,119 Speaker 1: to see it and there will be a transcription, but 440 00:24:43,200 --> 00:24:44,960 Speaker 1: they want it to be public. I think it's pretty 441 00:24:44,960 --> 00:24:47,840 Speaker 1: interesting that they're pushing for it to be public. 442 00:24:47,800 --> 00:24:50,920 Speaker 3: Alle hundred percent yeah, because they don't want what they 443 00:24:50,960 --> 00:24:56,800 Speaker 3: say characterized by James Comer. They want the exact quotes there. 444 00:24:57,440 --> 00:24:59,600 Speaker 3: And they go in knowing they're not going to get 445 00:24:59,680 --> 00:25:02,920 Speaker 3: us for anything. We got either a we got nothing 446 00:25:03,040 --> 00:25:06,080 Speaker 3: that they can use or B there's nothing they can 447 00:25:06,200 --> 00:25:08,080 Speaker 3: use that are going to come out of our mouths. 448 00:25:09,240 --> 00:25:11,680 Speaker 1: I also think they both are pretty confident in their 449 00:25:11,720 --> 00:25:18,439 Speaker 1: ability to handle themselves in that situation. Verbally, Yeah, and 450 00:25:18,480 --> 00:25:20,679 Speaker 1: they'd love to have that live. Yeah, let's get it 451 00:25:20,720 --> 00:25:23,600 Speaker 1: on now. I don't know how sharp Bill still is. 452 00:25:24,160 --> 00:25:29,359 Speaker 1: He's pretty dang old. Yeah, Yes, what order do I 453 00:25:29,359 --> 00:25:31,600 Speaker 1: want to do this in? Maybe I'll just skip to this. 454 00:25:31,680 --> 00:25:34,679 Speaker 1: Do I do that alphabetical? So here's the story they 455 00:25:34,680 --> 00:25:36,920 Speaker 1: had on CBS News like last night that I wanted 456 00:25:36,960 --> 00:25:42,800 Speaker 1: to comment on about the rapidly approaching future of self 457 00:25:42,880 --> 00:25:43,639 Speaker 1: driving cars. 458 00:25:44,240 --> 00:25:48,000 Speaker 2: You've seen the viral videos self driving cars not following 459 00:25:48,040 --> 00:25:51,000 Speaker 2: the rules of the road. Tuesday, Senator Ed Markey sent 460 00:25:51,080 --> 00:25:54,960 Speaker 2: letters to seven autonomous vehicle companies demanding answers about safety 461 00:25:55,000 --> 00:25:58,760 Speaker 2: and oversight. The Massachusetts Democrat is pushing two measures, one 462 00:25:58,880 --> 00:26:02,840 Speaker 2: requiring more transparent currency and another requiring companies to certify 463 00:26:02,880 --> 00:26:08,040 Speaker 2: their vehicles as safe. Tesla and Weimo have aggressive expansion plans, 464 00:26:08,080 --> 00:26:11,560 Speaker 2: but warn every year China becomes a bigger and bigger competitor. 465 00:26:11,880 --> 00:26:15,520 Speaker 2: Weimo says it's self driving vehicles are ten times less 466 00:26:15,600 --> 00:26:18,439 Speaker 2: likely to be involved in a serious injury accident than 467 00:26:18,520 --> 00:26:19,240 Speaker 2: a human driver. 468 00:26:19,480 --> 00:26:21,119 Speaker 1: There was a lot about that. I thought it was interesting, 469 00:26:21,119 --> 00:26:23,600 Speaker 1: and they touched mostly on Weimo and Tesla in their 470 00:26:23,640 --> 00:26:27,400 Speaker 1: battle to be the dominant self driving car out there. 471 00:26:27,600 --> 00:26:30,199 Speaker 1: And they talked about how there are currently lots of 472 00:26:30,200 --> 00:26:34,480 Speaker 1: state laws. They're fifty different states with different laws, and 473 00:26:34,600 --> 00:26:37,200 Speaker 1: Ted Kruz was saying, we need to have a uniform 474 00:26:37,800 --> 00:26:40,359 Speaker 1: because cars, you know, cross state boundaries all the time, 475 00:26:40,520 --> 00:26:42,600 Speaker 1: so we need to have some sort of uniform national 476 00:26:42,680 --> 00:26:45,520 Speaker 1: something or other. But everybody sounded like they were trying 477 00:26:45,520 --> 00:26:51,159 Speaker 1: to get to zero mistakes. Are you certified to be 478 00:26:51,240 --> 00:26:54,199 Speaker 1: completely mistake free? I'm not. I was just going to. 479 00:26:54,200 --> 00:26:56,240 Speaker 3: Say, what does that mean? They need to certify it 480 00:26:56,240 --> 00:26:59,760 Speaker 3: as safe? That sounds like grand standy Congress bullcraft. 481 00:27:00,200 --> 00:27:03,639 Speaker 1: Outside of a very easy to clear low bar to 482 00:27:03,640 --> 00:27:07,200 Speaker 1: get a driver's license, none of us are certified as 483 00:27:07,280 --> 00:27:10,639 Speaker 1: as safe as these self driving cars are. So it's interesting. 484 00:27:11,040 --> 00:27:13,600 Speaker 1: It's interesting. I don't want self driving cars happen because 485 00:27:13,600 --> 00:27:15,040 Speaker 1: I think they're going to force us into them. That's 486 00:27:15,040 --> 00:27:17,080 Speaker 1: what I'm worried about. I think it's inevitable, but I 487 00:27:17,119 --> 00:27:20,280 Speaker 1: just wish it wouldn't happen, and it's going to be 488 00:27:20,320 --> 00:27:22,480 Speaker 1: very hard to argue you argue against it because it 489 00:27:22,520 --> 00:27:25,119 Speaker 1: is going to be safer. One thing about the whole 490 00:27:25,160 --> 00:27:27,760 Speaker 1: safe thing though, on the stats of ten times safer? 491 00:27:28,200 --> 00:27:32,359 Speaker 1: Are you is it ten times safer than those of 492 00:27:32,440 --> 00:27:35,840 Speaker 1: us who've never had a major crash or all the 493 00:27:35,880 --> 00:27:38,679 Speaker 1: people that have never had a crash, or is it 494 00:27:38,720 --> 00:27:42,280 Speaker 1: ten times safer than you know, the worst drivers out 495 00:27:42,280 --> 00:27:45,080 Speaker 1: there now, the entire universe of driver. Well, I know 496 00:27:45,119 --> 00:27:49,160 Speaker 1: that's what it is, but I would love to hear 497 00:27:49,240 --> 00:27:52,120 Speaker 1: that comparison though. It's a really you if you took 498 00:27:52,240 --> 00:27:56,040 Speaker 1: if you check out the most crash prone bottom ten 499 00:27:56,119 --> 00:27:59,320 Speaker 1: percent of human drivers, then I wonder what the difference 500 00:27:59,320 --> 00:28:01,080 Speaker 1: would be. It wouldn't ten times. 501 00:28:01,119 --> 00:28:03,720 Speaker 3: For the record, stop expressing fractions as multiples. 502 00:28:03,760 --> 00:28:04,159 Speaker 1: I hate that. 503 00:28:06,320 --> 00:28:09,199 Speaker 3: Yeah, yeah, that's that's a really good question. I was 504 00:28:09,280 --> 00:28:12,520 Speaker 3: just thinking about what an incredible boon to the elderly 505 00:28:12,560 --> 00:28:15,840 Speaker 3: self driving cars will be and a drunk and drunks, 506 00:28:16,240 --> 00:28:18,840 Speaker 3: the old and the drunk. Yes, And as an old drunk, 507 00:28:18,960 --> 00:28:19,800 Speaker 3: trust me, I'm. 508 00:28:19,760 --> 00:28:25,480 Speaker 1: Enthusiastic about this. Yeah, I just it sounded to me 509 00:28:25,680 --> 00:28:28,520 Speaker 1: like the senator they were talking to has like a 510 00:28:28,840 --> 00:28:32,399 Speaker 1: zero tolerance policy for any mistakes for self driving cars. 511 00:28:32,560 --> 00:28:35,480 Speaker 1: When we've got you know, people staring at their phones 512 00:28:35,520 --> 00:28:37,560 Speaker 1: at eighty five miles an hour, we even in out 513 00:28:37,560 --> 00:28:39,200 Speaker 1: of traffic all over the country. 514 00:28:40,560 --> 00:28:42,640 Speaker 3: You know what AI needs to do, This is brilliant. 515 00:28:42,640 --> 00:28:45,920 Speaker 3: This is my billion dollar idea. AI needs to develop 516 00:28:46,160 --> 00:28:50,600 Speaker 3: a three question test that it can immediately spin out 517 00:28:50,680 --> 00:28:55,280 Speaker 3: on any topic. So if a congressman starts talking about 518 00:28:55,280 --> 00:28:58,040 Speaker 3: self driving cars, they get that through quick three question 519 00:28:58,160 --> 00:29:00,920 Speaker 3: test to determine whether they have any freaking idea what 520 00:29:01,000 --> 00:29:04,560 Speaker 3: they're talking about. And if they failed the test, they're 521 00:29:04,560 --> 00:29:07,480 Speaker 3: not allowed to talk. Or you know, you use it 522 00:29:07,480 --> 00:29:10,520 Speaker 3: at cocktail parties or whatever, but you know, or people 523 00:29:10,560 --> 00:29:14,160 Speaker 3: answering poll questions you think Trump's tariffs have been a 524 00:29:14,160 --> 00:29:15,120 Speaker 3: good thing or bad thing? 525 00:29:16,120 --> 00:29:20,640 Speaker 1: Before you answer, I got three questions. They featured the 526 00:29:20,680 --> 00:29:24,320 Speaker 1: story we had this the other day in California, a 527 00:29:24,360 --> 00:29:26,760 Speaker 1: waimo hit a six year old boy. Well, the six 528 00:29:26,880 --> 00:29:30,280 Speaker 1: year old boy darted out behind a parked car. Nobody 529 00:29:30,320 --> 00:29:33,400 Speaker 1: could have stopped. Weaimo made the argument that the reaction 530 00:29:33,520 --> 00:29:36,440 Speaker 1: time of the computer was significantly faster than any human 531 00:29:36,480 --> 00:29:39,920 Speaker 1: could have reacted. It was a fraction right, and but 532 00:29:40,080 --> 00:29:44,040 Speaker 1: it's presented as like show, has anybody ever in their 533 00:29:44,120 --> 00:29:46,800 Speaker 1: lives turned the wrong way down a one way street? 534 00:29:47,280 --> 00:29:51,200 Speaker 1: Of course you have. Yeah, if Waimo does it or 535 00:29:51,240 --> 00:29:53,400 Speaker 1: Tesla does it, it makes the news and they act 536 00:29:53,520 --> 00:29:55,880 Speaker 1: like proof that you can't have self driving cars. There 537 00:29:55,960 --> 00:29:58,400 Speaker 1: isn't anybody that hasn't ever done that in their life, 538 00:29:59,000 --> 00:30:01,480 Speaker 1: right right, Yeah, I agree completely with your premise. 539 00:30:01,480 --> 00:30:03,640 Speaker 3: I think it's worth dwelling at least for a second 540 00:30:03,680 --> 00:30:08,640 Speaker 3: on the nature of journalism and speech perception that that 541 00:30:08,680 --> 00:30:11,000 Speaker 3: Weaimo incident in which and we talked about this at 542 00:30:11,040 --> 00:30:15,080 Speaker 3: fair length, but the car reacted in a super human 543 00:30:15,520 --> 00:30:18,760 Speaker 3: tiny span of time, ended up bumping the kid at 544 00:30:18,760 --> 00:30:21,280 Speaker 3: a speed that would hardly break an egg, and the 545 00:30:21,360 --> 00:30:22,240 Speaker 3: kid was fine. 546 00:30:23,240 --> 00:30:24,840 Speaker 1: Put a human driver behind that wheel. 547 00:30:24,920 --> 00:30:29,080 Speaker 3: The headline ought to be way Mo saves child's life 548 00:30:29,200 --> 00:30:31,760 Speaker 3: in situation where a human driver would have killed the child. 549 00:30:32,360 --> 00:30:35,360 Speaker 1: Long headline, you see my point. If the human hit 550 00:30:35,440 --> 00:30:38,080 Speaker 1: the brakes at all, might have been checking your uh, 551 00:30:38,120 --> 00:30:42,120 Speaker 1: what's the next song on my phone? Oh boy, kid's dead? Yeah. 552 00:30:42,200 --> 00:30:45,920 Speaker 1: To present it, yeah, exactly. They had videos last night. 553 00:30:45,960 --> 00:30:48,000 Speaker 1: We've all seen the videos. There's a way Mo going 554 00:30:48,040 --> 00:30:49,920 Speaker 1: the wrong way down a one way street, and I thought, yeah, 555 00:30:49,920 --> 00:30:52,320 Speaker 1: I've done that, everybody's done that. So but this makes 556 00:30:52,360 --> 00:30:57,680 Speaker 1: the evening news. I don't probably. I just wonder how. 557 00:30:59,480 --> 00:31:02,440 Speaker 1: I just want if we have the structure to allow 558 00:31:02,520 --> 00:31:04,280 Speaker 1: that to happen. The self driving car, I don't know. 559 00:31:04,480 --> 00:31:07,560 Speaker 1: I don't know. I use mine every single day. It's 560 00:31:07,800 --> 00:31:10,520 Speaker 1: it's and I never thought I wanted it or needed it, 561 00:31:10,560 --> 00:31:12,920 Speaker 1: and now that I have it, I use it every day. Yeah, 562 00:31:12,920 --> 00:31:14,360 Speaker 1: I'm kind of jealous of that, honestly. 563 00:31:14,920 --> 00:31:18,480 Speaker 3: So quick on air meeting, I've got too many tabs open. 564 00:31:18,920 --> 00:31:21,240 Speaker 1: Is it likely we're going to get back to the. 565 00:31:21,200 --> 00:31:23,640 Speaker 3: French guy who was in the hospital with a World 566 00:31:23,680 --> 00:31:27,680 Speaker 3: War One artillery shell in his rectum. No, because if not, 567 00:31:27,880 --> 00:31:29,719 Speaker 3: I will go ahead and close that tab. 568 00:31:30,520 --> 00:31:34,320 Speaker 1: Twenty four year old frenchman and it didn't explode on. 569 00:31:34,360 --> 00:31:37,160 Speaker 3: Him, no, sir, but they had to close the hospital 570 00:31:37,240 --> 00:31:40,480 Speaker 3: because he had well. I think I mentioned an unexploded 571 00:31:40,520 --> 00:31:43,200 Speaker 3: eight inch long World War One artillery shell. 572 00:31:43,240 --> 00:31:44,920 Speaker 1: I don't remember having the length. 573 00:31:45,560 --> 00:31:47,440 Speaker 3: I think I may have left that out the initial 574 00:31:47,520 --> 00:31:49,720 Speaker 3: chat of the story, and I apologize for it. I 575 00:31:49,720 --> 00:31:52,360 Speaker 3: feel like I wouldn't have forgotten that well, and the 576 00:31:52,400 --> 00:31:53,920 Speaker 3: picture of it well, I'm not sure. 577 00:31:53,720 --> 00:31:55,880 Speaker 1: This we know if it was British, German or French. 578 00:31:56,480 --> 00:32:03,720 Speaker 3: It doesn't say probably German, as the Germans used the 579 00:32:03,800 --> 00:32:06,280 Speaker 3: French quite effectively. 580 00:32:05,760 --> 00:32:07,520 Speaker 1: There for a while here, what you're gonna hear? What 581 00:32:07,560 --> 00:32:10,880 Speaker 1: you're suggesting? All right? I do want to get to 582 00:32:10,880 --> 00:32:12,440 Speaker 1: that definition of social isn't it been a bunch of other 583 00:32:12,440 --> 00:32:17,920 Speaker 1: stuff we got coming up? Stay here? So I came 584 00:32:17,960 --> 00:32:20,920 Speaker 1: across this explanation of socialism. It was an old YouTube 585 00:32:20,960 --> 00:32:23,040 Speaker 1: video from black and white from way back in the 586 00:32:23,120 --> 00:32:25,520 Speaker 1: day from this guy Bertrand Russell, who I've heard of 587 00:32:25,600 --> 00:32:28,440 Speaker 1: but didn't know that much about. He's a very famous philosopher, 588 00:32:28,520 --> 00:32:30,800 Speaker 1: one of the most important philosophers of the twentieth century. 589 00:32:30,960 --> 00:32:33,080 Speaker 1: Born in eighteen seventy two, so I mean, that's how 590 00:32:33,120 --> 00:32:35,400 Speaker 1: far it goes back. He lived almost one hundred years, 591 00:32:36,080 --> 00:32:38,280 Speaker 1: so there were, you know, YouTube videos of him in 592 00:32:38,320 --> 00:32:43,120 Speaker 1: the fifty sixties and seventies. Obviously kind of a wacky guy. 593 00:32:43,280 --> 00:32:45,240 Speaker 1: He was a pacifist. I'm always amazed by how many 594 00:32:45,240 --> 00:32:47,200 Speaker 1: super smart people are passifists, because it seems like the 595 00:32:47,200 --> 00:32:50,800 Speaker 1: odd ideology but nit wit to me, but it doesn't 596 00:32:50,800 --> 00:32:54,240 Speaker 1: make any sense, and other things. But anyway he went. 597 00:32:54,760 --> 00:32:56,640 Speaker 1: He thought communism seemed like a good idea, and so 598 00:32:56,680 --> 00:32:59,240 Speaker 1: he went over to the Soviet Union. He was very old, remember, 599 00:32:59,440 --> 00:33:00,760 Speaker 1: so back in the hey. He went over and he 600 00:33:00,800 --> 00:33:03,360 Speaker 1: met Lenin and talked to him everything like that. And 601 00:33:03,400 --> 00:33:04,680 Speaker 1: he was in the Soviet Union and he saw it 602 00:33:04,720 --> 00:33:08,320 Speaker 1: in practiced and thought this is awful and figured out 603 00:33:08,360 --> 00:33:15,640 Speaker 1: what it is. And Marx himself, he said, was not 604 00:33:15,720 --> 00:33:19,600 Speaker 1: inspired by kindly feeling. That's the way it's always presented Marxism. 605 00:33:19,640 --> 00:33:23,400 Speaker 1: It's to help the lower classes. Marx and people who 606 00:33:23,480 --> 00:33:26,240 Speaker 1: believe in it pretend that they want the happiness of 607 00:33:26,280 --> 00:33:30,880 Speaker 1: the proletariat. What they really want is the unhappiness of 608 00:33:30,920 --> 00:33:35,200 Speaker 1: the bourgeois. Ah. And that is the best explanation I've 609 00:33:35,200 --> 00:33:38,000 Speaker 1: ever heard of what's going on there. They presented as 610 00:33:38,040 --> 00:33:40,680 Speaker 1: Mumdanni's like that. They presented as like, no, I want 611 00:33:40,680 --> 00:33:42,600 Speaker 1: to help the downtroden. Know what I want to do 612 00:33:42,720 --> 00:33:44,120 Speaker 1: is I want to stick it to the people who've 613 00:33:44,160 --> 00:33:48,280 Speaker 1: got something that they're They're driven by their anger toward 614 00:33:48,320 --> 00:33:51,200 Speaker 1: the people who have been successful and a stuff right 615 00:33:51,720 --> 00:33:55,120 Speaker 1: more than they are by helping the lower classes, which 616 00:33:55,120 --> 00:33:57,400 Speaker 1: helps me explains a lot of the policies that you think, well, 617 00:33:57,560 --> 00:33:59,520 Speaker 1: how is that going to help the lower class. It's not. 618 00:33:59,560 --> 00:34:01,320 Speaker 1: They just want to stick it to the rich. 619 00:34:01,880 --> 00:34:08,239 Speaker 3: Including the interesting and twisted children of wealth, who turned 620 00:34:08,280 --> 00:34:11,880 Speaker 3: to these philosophies and advocates, sometimes violently for them. Is 621 00:34:12,200 --> 00:34:15,920 Speaker 3: at Tybee brilliantly phrased at the upper class twits promoting 622 00:34:16,000 --> 00:34:17,600 Speaker 3: revolution period. 623 00:34:18,320 --> 00:34:20,839 Speaker 1: Bertrand Russell met Lenin and was disturbed. What he saw 624 00:34:20,920 --> 00:34:23,920 Speaker 1: is the Bolsheviks willingness to use cruelty and deception to 625 00:34:24,000 --> 00:34:27,000 Speaker 1: maintain power. He wrote a famous book called The Practice 626 00:34:27,000 --> 00:34:31,239 Speaker 1: and Theory of Bolshevism that it always will lead to 627 00:34:31,280 --> 00:34:35,799 Speaker 1: authoritarian rule ding blah blah blah, and he said. He 628 00:34:35,840 --> 00:34:40,520 Speaker 1: criticized Marxist theory of the state withering away, You'll no 629 00:34:40,640 --> 00:34:43,000 Speaker 1: longer have a state and we'll be free as unrealistic, 630 00:34:43,120 --> 00:34:46,040 Speaker 1: arguing that concentrating power in the hands of a revolutionary 631 00:34:46,120 --> 00:34:50,439 Speaker 1: vanguard will lead to tyranny rather than liberation. Obviously, ding, 632 00:34:50,880 --> 00:34:53,520 Speaker 1: who's going to enforce this? Somebody? 633 00:34:54,280 --> 00:34:58,160 Speaker 3: Yeah, yeah, Well, and with the state and control of everything, 634 00:34:58,640 --> 00:35:02,279 Speaker 3: the state's control apparatus, it has got to be super muscular. 635 00:35:02,440 --> 00:35:04,719 Speaker 1: I don't know. Obviously, that really hit me as like 636 00:35:04,880 --> 00:35:07,399 Speaker 1: made sense, though, because I've never quite understood how you're 637 00:35:07,480 --> 00:35:12,759 Speaker 1: so motivated to because your anger at the successful, that's 638 00:35:12,760 --> 00:35:16,040 Speaker 1: what motivates you. Where does that come from? And that 639 00:35:16,560 --> 00:35:22,360 Speaker 1: I don't get, but it's clearly the case. Where does 640 00:35:22,440 --> 00:35:23,960 Speaker 1: it come from in general? And where does it come 641 00:35:23,960 --> 00:35:26,759 Speaker 1: from in the rich kids. That's why tax the billionaires 642 00:35:26,840 --> 00:35:29,040 Speaker 1: or all those sorts of things work so well. Even 643 00:35:29,080 --> 00:35:30,600 Speaker 1: if it doesn't help you a bit, it's just at 644 00:35:30,680 --> 00:35:34,400 Speaker 1: least they got the ldures I hate those people are successful. 645 00:35:34,680 --> 00:35:38,480 Speaker 2: We will replace the frigidity of rugged individualism with the 646 00:35:38,520 --> 00:35:39,839 Speaker 2: warmth of collectivism. 647 00:35:40,000 --> 00:35:44,239 Speaker 3: Yeah, oh yes, that'll work this time. Socialism sucks. It's 648 00:35:44,239 --> 00:35:46,680 Speaker 3: always miserable, it always fails, and it always ends up 649 00:35:46,800 --> 00:35:51,560 Speaker 3: in tyranny, and yet many young people are attracted to it. 650 00:35:51,560 --> 00:35:56,400 Speaker 3: Could it be because neuroscientists have revealed gen zers are 651 00:35:56,440 --> 00:35:59,040 Speaker 3: the first generation since records began to be kept, to 652 00:35:59,040 --> 00:36:00,840 Speaker 3: be less intelligent than their parents. 653 00:36:02,400 --> 00:36:05,000 Speaker 1: Have to get into this in hour four, How is 654 00:36:05,040 --> 00:36:07,240 Speaker 1: that possible with modern nutrition and everything. 655 00:36:07,280 --> 00:36:10,080 Speaker 3: Oh, my friend, I'll explain it to you exactly. Plus 656 00:36:10,320 --> 00:36:15,800 Speaker 3: Oregonians get our four. We're gonna touch on some Portland 657 00:36:15,800 --> 00:36:19,000 Speaker 3: and Oregon news. That's pretty important. Subscribe to our podcast, 658 00:36:19,120 --> 00:36:21,560 Speaker 3: Armstrong and Getty on demand, follow us, give us a 659 00:36:21,640 --> 00:36:22,760 Speaker 3: nice five star review. 660 00:36:22,880 --> 00:36:26,920 Speaker 1: Perhaps Armstrong and Getty