1 00:00:01,880 --> 00:00:05,680 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio of the 2 00:00:05,760 --> 00:00:10,280 Speaker 1: George Washington Broadcast Center, Jack Armstrong and Joe Getty. 3 00:00:10,200 --> 00:00:22,400 Speaker 2: Armstrong and Gatty and no he Armstrong and gettyn more 4 00:00:22,480 --> 00:00:24,360 Speaker 2: things I would like to bring up before we get 5 00:00:24,400 --> 00:00:26,520 Speaker 2: to the bulk of what we're going to do this segment. 6 00:00:26,560 --> 00:00:28,000 Speaker 2: First of all, I just looked up at the TV 7 00:00:28,080 --> 00:00:31,960 Speaker 2: and saw freaking Anthony Fauci's face on CBS News because 8 00:00:31,960 --> 00:00:37,240 Speaker 2: they're talking about that new peanut allergy study. What was 9 00:00:37,240 --> 00:00:37,680 Speaker 2: the name of that? 10 00:00:38,000 --> 00:00:38,960 Speaker 3: Good to ask Fauci. 11 00:00:41,280 --> 00:00:44,600 Speaker 2: Uh, Yeah, So I guess that shows you that the 12 00:00:44,720 --> 00:00:48,320 Speaker 2: divide in America. CBS Early Show thinks, you know who 13 00:00:48,360 --> 00:00:52,360 Speaker 2: our audience would like to see doctor Fauci talking about penealogies, 14 00:00:52,360 --> 00:00:54,360 Speaker 2: where half the country's like, I never want to see 15 00:00:54,360 --> 00:00:56,160 Speaker 2: that guy's face or hear his name ever again in 16 00:00:56,200 --> 00:00:56,720 Speaker 2: my life. 17 00:00:57,280 --> 00:00:59,200 Speaker 3: Wow. Yeah, picking him is the go to. 18 00:00:59,280 --> 00:00:59,360 Speaker 4: Oh. 19 00:00:59,440 --> 00:01:03,280 Speaker 1: Speaking of health, and I'll explain why I am so 20 00:01:03,480 --> 00:01:06,880 Speaker 1: interested in this in a little bit, But the science 21 00:01:06,880 --> 00:01:10,880 Speaker 1: around Parkinson's disease is they're learning a lot and they've 22 00:01:10,880 --> 00:01:14,680 Speaker 1: come up with several really effective ways to lower your risk. 23 00:01:14,959 --> 00:01:18,319 Speaker 1: It's the second most common neurological problem to be set 24 00:01:18,400 --> 00:01:19,040 Speaker 1: us after. 25 00:01:20,959 --> 00:01:22,520 Speaker 3: Alzheimer's, so stay with us. 26 00:01:23,640 --> 00:01:26,440 Speaker 2: I want to hear that, and you can do it too. 27 00:01:26,560 --> 00:01:31,000 Speaker 1: This is not like, you know anything weird or unlikely. 28 00:01:31,040 --> 00:01:32,760 Speaker 1: You can actually change your odds. 29 00:01:33,480 --> 00:01:35,559 Speaker 2: This is kind of weird and unlikely, but it happened. 30 00:01:35,600 --> 00:01:39,040 Speaker 2: The former president of France is going into jail today 31 00:01:39,040 --> 00:01:42,080 Speaker 2: for his five year prison sentence. Nicholas Sarkozi. 32 00:01:42,720 --> 00:01:44,560 Speaker 3: Did he steal those jewels out of the louvery? 33 00:01:44,680 --> 00:01:47,080 Speaker 2: He was the guy in the louver with the saw 34 00:01:47,160 --> 00:01:50,840 Speaker 2: it now all kinds of campaign finance stuff and he 35 00:01:50,880 --> 00:01:56,000 Speaker 2: was taking money from Katafi. Yeah, God dang it. Any who, 36 00:01:56,200 --> 00:01:58,400 Speaker 2: he's going to spend five years in prison and at 37 00:01:58,480 --> 00:02:00,720 Speaker 2: least this first stretch is going to be in solitary. 38 00:02:01,920 --> 00:02:06,680 Speaker 2: They say to keep him safe. But that's pretty high 39 00:02:06,680 --> 00:02:08,360 Speaker 2: position to be president. And all of a sudden he 40 00:02:08,400 --> 00:02:10,720 Speaker 2: left his home today and he's off to prison five years. 41 00:02:10,760 --> 00:02:15,560 Speaker 2: Good wow, glad to see that. Was he part of France? 42 00:02:15,639 --> 00:02:17,520 Speaker 1: Wasn't the son of the head of the un making 43 00:02:17,560 --> 00:02:19,560 Speaker 1: money off I guess he was making money off Iran 44 00:02:20,040 --> 00:02:20,960 Speaker 1: during the saying well. 45 00:02:20,880 --> 00:02:23,880 Speaker 2: Was Sarcauzi, Yeah, it was Sarkozzi, the guy running France 46 00:02:23,960 --> 00:02:26,480 Speaker 2: when they were going around our sanctions on a rack 47 00:02:26,560 --> 00:02:33,680 Speaker 2: with Sadam Hussein and making money. Probably bastards love bastard. Uh. 48 00:02:34,480 --> 00:02:40,239 Speaker 2: Quite a disaster averted yesterday they caught a guy who 49 00:02:40,280 --> 00:02:42,320 Speaker 2: is gonna shoot up the Atlanta Airport. This is the 50 00:02:42,360 --> 00:02:43,720 Speaker 2: way CBS reported it. 51 00:02:44,720 --> 00:02:52,080 Speaker 5: At the airport right now, I'm just my body warn 52 00:02:52,200 --> 00:02:56,160 Speaker 5: camera shows the moment two Atlanta police officers approached Billy 53 00:02:56,240 --> 00:02:59,440 Speaker 5: Joe Cagel at the airport's South terminal Monday morning. 54 00:03:01,440 --> 00:03:05,119 Speaker 6: His police were canvassing for Kegel after his family called 55 00:03:05,200 --> 00:03:06,400 Speaker 6: nine to one one less. 56 00:03:06,240 --> 00:03:07,600 Speaker 4: Than thirty minutes earlier. 57 00:03:07,840 --> 00:03:11,080 Speaker 7: We were alerted by family members that mister Cagele was 58 00:03:11,240 --> 00:03:13,480 Speaker 7: ent route to somewhere in the Atlanta area. They weren't sure. 59 00:03:14,080 --> 00:03:17,440 Speaker 7: Ultimately we found out it was the Atlanta Airport and 60 00:03:17,480 --> 00:03:20,560 Speaker 7: that he had the intention to inflict harm to as 61 00:03:20,600 --> 00:03:21,760 Speaker 7: many people as he could. 62 00:03:22,400 --> 00:03:23,880 Speaker 2: Wow. I want to hear more of this because we 63 00:03:23,960 --> 00:03:26,760 Speaker 2: got more. But like, how how specific was he with 64 00:03:26,800 --> 00:03:29,440 Speaker 2: the family members? I mean, obviously specific enough that they 65 00:03:29,480 --> 00:03:32,200 Speaker 2: called nine to one one. Here we got. 66 00:03:32,080 --> 00:03:36,920 Speaker 4: About officers arrested Kegel in the terminal. He was unarmed 67 00:03:36,920 --> 00:03:41,400 Speaker 4: at the time, but police say just outside in his truck. 68 00:03:43,400 --> 00:03:47,120 Speaker 4: They found an AR fifteen assault rifle and twenty seven 69 00:03:47,240 --> 00:03:51,160 Speaker 4: rounds of ammunition. Surveillance video shows Kegel arriving in that 70 00:03:51,280 --> 00:03:53,280 Speaker 4: vehicle at nine to twenty nine in the morning. 71 00:03:54,720 --> 00:03:57,480 Speaker 2: It has absolutely horrifying go on. And then we have questions, 72 00:03:57,800 --> 00:03:58,400 Speaker 2: Please say. 73 00:03:58,320 --> 00:04:01,440 Speaker 6: Keegele left us pickup truck with a loaded semi automatic 74 00:04:01,520 --> 00:04:05,880 Speaker 6: rifle inside. He then went inside of the departure area 75 00:04:05,960 --> 00:04:09,320 Speaker 6: here at the airport to quote unquote scout the location. 76 00:04:09,920 --> 00:04:12,440 Speaker 6: They say he planned on returning back to his truck 77 00:04:12,800 --> 00:04:17,159 Speaker 6: to get his semi automatic rifle. Inside the terminal, Keago 78 00:04:17,240 --> 00:04:20,240 Speaker 6: walked towards the security checkpoint and stayed there for a 79 00:04:20,279 --> 00:04:21,840 Speaker 6: while before walking away. 80 00:04:22,040 --> 00:04:24,200 Speaker 1: And I do believe he's likely to use that weapon 81 00:04:24,240 --> 00:04:25,839 Speaker 1: inside the crowded terminal. 82 00:04:25,520 --> 00:04:28,359 Speaker 3: That hit just seen. We did have a trashy averted today. 83 00:04:29,200 --> 00:04:34,400 Speaker 2: God dang it. There's one to fifteen people that would 84 00:04:34,440 --> 00:04:38,239 Speaker 2: be dead if this hadn't unfolded the way it did. 85 00:04:38,560 --> 00:04:41,000 Speaker 2: He's probably going in and seeing, Okay, where's the most 86 00:04:41,880 --> 00:04:45,080 Speaker 2: biggest concentration of people that can't run a certain direction 87 00:04:45,600 --> 00:04:47,960 Speaker 2: and the fewest cops around. 88 00:04:50,800 --> 00:04:56,760 Speaker 1: How do we stem this social contagion of people wanting 89 00:04:56,800 --> 00:05:00,320 Speaker 1: to essentially commit suicide but take a bunch of people 90 00:05:00,360 --> 00:05:03,000 Speaker 1: with them, so everybody knows how mad they they were. 91 00:05:04,480 --> 00:05:06,360 Speaker 2: I don't know, but I still want to know more 92 00:05:06,400 --> 00:05:09,520 Speaker 2: about how how did the family know that Billy Joe 93 00:05:09,520 --> 00:05:13,919 Speaker 2: idiot was I mean, did he specifically? 94 00:05:14,560 --> 00:05:17,280 Speaker 3: I mean, yeah, how specific was what he said? 95 00:05:17,279 --> 00:05:20,080 Speaker 1: They didn't know it was the airport at first, but 96 00:05:20,200 --> 00:05:23,760 Speaker 1: they warned that they they called the cops and warned 97 00:05:23,760 --> 00:05:26,480 Speaker 1: that they believed he was headed to Atlanta to harm people. 98 00:05:27,960 --> 00:05:32,800 Speaker 2: You must have said something, yeah, yeah, more for the family. Yeah, 99 00:05:32,839 --> 00:05:34,560 Speaker 2: and okay, we'll probably hear more about that in the 100 00:05:34,600 --> 00:05:35,240 Speaker 2: coming days. 101 00:05:35,960 --> 00:05:36,680 Speaker 3: You know, you got to. 102 00:05:37,120 --> 00:05:39,200 Speaker 1: I think just a little more needs to be said 103 00:05:39,279 --> 00:05:45,080 Speaker 1: about the decisiveness and courage of the family to reach 104 00:05:45,120 --> 00:05:47,120 Speaker 1: out to the authorities and say, hey, I know this 105 00:05:47,120 --> 00:05:49,039 Speaker 1: sounds kind of crazy, but you need to listen to me, 106 00:05:49,080 --> 00:05:52,640 Speaker 1: here's what's going on, and having the confidence in their 107 00:05:52,680 --> 00:05:55,200 Speaker 1: own judgment to make that call. 108 00:05:55,320 --> 00:05:56,360 Speaker 3: I salute them for that. 109 00:05:56,760 --> 00:06:00,640 Speaker 2: Yeah. I wonder how specific he was, if they kind 110 00:06:00,640 --> 00:06:02,440 Speaker 2: of had an inkling, or if he just flat out 111 00:06:02,520 --> 00:06:04,240 Speaker 2: said that's it, I'm going to go kill a whole 112 00:06:04,240 --> 00:06:06,360 Speaker 2: bunch of people and got in his truck. Yeah. 113 00:06:06,360 --> 00:06:08,800 Speaker 3: I wonder God, dang it. It's just. 114 00:06:10,600 --> 00:06:13,279 Speaker 2: The randomness of the way these things play out is 115 00:06:13,480 --> 00:06:16,680 Speaker 2: hard to wrap your head around. But the real story is, 116 00:06:17,040 --> 00:06:21,000 Speaker 2: like you mentioned, how we break free from people who 117 00:06:21,040 --> 00:06:23,000 Speaker 2: are so depressed out there that they want to end 118 00:06:23,000 --> 00:06:25,680 Speaker 2: their lives. That's always existed, but the new thing is, 119 00:06:25,800 --> 00:06:28,160 Speaker 2: I'm going to take people with me, so it means 120 00:06:28,279 --> 00:06:30,240 Speaker 2: something I guess. 121 00:06:29,960 --> 00:06:33,400 Speaker 1: And hits the internet and gets news coverage and people 122 00:06:33,440 --> 00:06:34,080 Speaker 1: talk about me. 123 00:06:35,040 --> 00:06:38,480 Speaker 3: It's even in death. Everybody wants to be famous. 124 00:06:38,640 --> 00:06:45,520 Speaker 2: Right right, Yeah, if it doesn't land online, it didn't happen. 125 00:06:45,560 --> 00:06:48,400 Speaker 2: It had no meaning. I don't know how we break. 126 00:06:48,160 --> 00:06:50,520 Speaker 3: Out of that. I'll be in the woods if you 127 00:06:50,600 --> 00:06:50,919 Speaker 3: need me. 128 00:06:53,120 --> 00:06:55,200 Speaker 2: Just came across this nugget before we take a break. 129 00:06:55,680 --> 00:06:57,880 Speaker 2: I'd heard this before, but I didn't know this aspect 130 00:06:57,920 --> 00:07:03,000 Speaker 2: of it. The guy who ran the Love in nineteen 131 00:07:03,080 --> 00:07:07,200 Speaker 2: eleven resigned after the Mona Lisa Mona Lisa was stolen 132 00:07:07,279 --> 00:07:10,240 Speaker 2: while he was on vacation. Somebody actually stole the Mona 133 00:07:10,280 --> 00:07:12,640 Speaker 2: Lisa and had it for a while. They obviously got 134 00:07:12,680 --> 00:07:16,640 Speaker 2: it back. The Mona Lisa was only like one hundred 135 00:07:16,680 --> 00:07:23,000 Speaker 2: feet away from where these guys were on Saturday. Although 136 00:07:23,000 --> 00:07:25,280 Speaker 2: it might have been one hundred feet through many walls, 137 00:07:25,280 --> 00:07:27,400 Speaker 2: and I imagine the security over by the Mona Lisa 138 00:07:27,440 --> 00:07:30,040 Speaker 2: is different than it was by Napoleon the thirds and 139 00:07:30,120 --> 00:07:31,880 Speaker 2: excuse me, Napoleon's jewels. 140 00:07:32,040 --> 00:07:35,920 Speaker 1: Yeah, plays poor man's Napoleon. Although you know they managed 141 00:07:35,960 --> 00:07:37,920 Speaker 1: to steal the Mona Lisa. Is it the same guy 142 00:07:37,960 --> 00:07:40,520 Speaker 1: who used to run the San Francisco Zoo when they 143 00:07:40,560 --> 00:07:43,200 Speaker 1: had the honor system for keeping the tigers in the enclosure? 144 00:07:43,520 --> 00:07:45,960 Speaker 1: Remember when those tigers got out and chewed some people off. 145 00:07:46,000 --> 00:07:50,480 Speaker 2: Horrible. You'd be way better off stealing jewels that you 146 00:07:50,480 --> 00:07:53,320 Speaker 2: could fence than the Mona Lisa. It'd be really difficult 147 00:07:54,440 --> 00:07:56,840 Speaker 2: to get any value out of the Mona Lisa. You 148 00:07:56,920 --> 00:07:59,240 Speaker 2: want to buy a painting, it's pretty good painting. Let 149 00:07:59,240 --> 00:08:01,120 Speaker 2: me show it to. You could show it to it's. 150 00:08:00,920 --> 00:08:03,480 Speaker 3: A girl with kind of a weird smile. You didn't 151 00:08:03,600 --> 00:08:03,920 Speaker 3: like it. 152 00:08:04,040 --> 00:08:06,600 Speaker 2: You could show it to a numbskull in the darkest 153 00:08:06,640 --> 00:08:08,880 Speaker 2: parts of the jungles of Africa who doesn't know that 154 00:08:08,920 --> 00:08:11,960 Speaker 2: electricity exists, and he would say, that's a Mona Lisa. 155 00:08:12,240 --> 00:08:12,920 Speaker 2: The hell are you doing? 156 00:08:12,960 --> 00:08:16,800 Speaker 3: What the Mona Lisa? Right exactly? 157 00:08:17,640 --> 00:08:20,080 Speaker 1: Yeah, I don't know So do you think that the 158 00:08:21,200 --> 00:08:24,720 Speaker 1: heist of the historical jewels and crowns and everything was 159 00:08:24,840 --> 00:08:27,520 Speaker 1: they were stealing those specifically, or it was just an 160 00:08:27,560 --> 00:08:31,960 Speaker 1: amazing density of precious stones that they could then you know, 161 00:08:32,280 --> 00:08:33,440 Speaker 1: separate out and sell. 162 00:08:33,559 --> 00:08:35,400 Speaker 2: I don't know. I would assume they had you know, 163 00:08:35,520 --> 00:08:39,320 Speaker 2: cased that particular room. And I'll mention this again today 164 00:08:39,360 --> 00:08:41,040 Speaker 2: in case you didn't hear me say yesterday. I guess 165 00:08:41,080 --> 00:08:45,120 Speaker 2: it's fairly common for people to make their money off 166 00:08:45,120 --> 00:08:48,720 Speaker 2: the insurance company because these things are insured for a 167 00:08:49,080 --> 00:08:51,680 Speaker 2: lot of money and it's cheaper, and so the insurance 168 00:08:51,679 --> 00:08:54,040 Speaker 2: company will say, no questions asked, you return them, We'll 169 00:08:54,080 --> 00:08:57,520 Speaker 2: give you five million dollars. It's cheaper for the insurance 170 00:08:57,559 --> 00:08:59,120 Speaker 2: company to pay you a big chunk and get the 171 00:08:59,120 --> 00:09:01,480 Speaker 2: stuff back and let you get away with it. Then 172 00:09:01,520 --> 00:09:03,880 Speaker 2: it is to pay off the insurance claim. 173 00:09:04,080 --> 00:09:07,400 Speaker 1: Sure could be insured for thirty million dollars, right, so 174 00:09:07,480 --> 00:09:10,480 Speaker 1: five million dollars would be a bargain. So you send 175 00:09:10,559 --> 00:09:13,240 Speaker 1: me some Bitcoin and I'll send the stuff back to you. 176 00:09:14,400 --> 00:09:16,240 Speaker 2: Funny how, and this may be a guy. 177 00:09:16,360 --> 00:09:19,080 Speaker 1: It's an extra fifteen bucks if you want the second day, 178 00:09:19,200 --> 00:09:21,439 Speaker 1: by the way, for five million bucks. 179 00:09:21,320 --> 00:09:23,000 Speaker 3: You get ground ups ground. 180 00:09:23,080 --> 00:09:26,160 Speaker 2: This might be a thing that guys think about for 181 00:09:26,280 --> 00:09:29,600 Speaker 2: some trying to do the swatch, the swap, like the 182 00:09:29,640 --> 00:09:32,960 Speaker 2: hostage swap or the you know, the jewels for the money, 183 00:09:33,080 --> 00:09:34,200 Speaker 2: Like how you would pull it off? Do you do 184 00:09:34,240 --> 00:09:35,720 Speaker 2: it on a bridge or do you leave it like 185 00:09:35,800 --> 00:09:37,640 Speaker 2: leave it in a park? You but I'm watching you 186 00:09:37,640 --> 00:09:38,439 Speaker 2: through barnoc. 187 00:09:38,160 --> 00:09:39,280 Speaker 3: In orc course. 188 00:09:39,280 --> 00:09:42,400 Speaker 2: You see, you don't get screwed. There's no like foolproof 189 00:09:42,440 --> 00:09:43,840 Speaker 2: way to not get screwed on the deal. 190 00:09:44,280 --> 00:09:48,120 Speaker 1: That's why the whole internet bitcoin thing is really it's 191 00:09:48,400 --> 00:09:52,360 Speaker 1: a great new era for blackmail, like the what's the 192 00:09:52,440 --> 00:09:55,520 Speaker 1: term for you? You blackmail hospital. You're not going to 193 00:09:55,559 --> 00:09:58,080 Speaker 1: be able to get back online unless you pay us. 194 00:09:57,960 --> 00:10:00,600 Speaker 2: Off ransom cyber ranch where. 195 00:10:00,679 --> 00:10:04,280 Speaker 3: Yeah, yeah, yeah, it's it's a new era. 196 00:10:04,760 --> 00:10:06,760 Speaker 2: But so I got the jewels, you're gonna give me 197 00:10:06,800 --> 00:10:09,480 Speaker 2: the check. How about you give me the check, then 198 00:10:09,480 --> 00:10:11,040 Speaker 2: I'll give you the jewels. I ain't giving you the 199 00:10:11,120 --> 00:10:14,080 Speaker 2: check till you give me the jewels. 200 00:10:13,240 --> 00:10:16,920 Speaker 1: Turn you turn around, you walk backward, I'll walk backward. 201 00:10:18,920 --> 00:10:21,959 Speaker 1: Favorite ransom exchange scene of all time, gotta be. 202 00:10:21,880 --> 00:10:22,800 Speaker 3: The great Lebowski. 203 00:10:23,400 --> 00:10:24,160 Speaker 2: I don't remember. 204 00:10:24,760 --> 00:10:27,280 Speaker 3: Oh please, so good, so good. 205 00:10:27,840 --> 00:10:29,720 Speaker 2: What is the way to do it though? Is there 206 00:10:29,760 --> 00:10:31,440 Speaker 2: is there a good, foolproof way to do it? How 207 00:10:31,760 --> 00:10:33,520 Speaker 2: does like the CLA do it? 208 00:10:35,920 --> 00:10:36,120 Speaker 3: Now? 209 00:10:36,120 --> 00:10:38,679 Speaker 1: It's all about it. I'm telling you. It's a bitcoin online. 210 00:10:39,160 --> 00:10:40,320 Speaker 1: It's effortless. 211 00:10:40,960 --> 00:10:43,520 Speaker 2: Hostages you can't do on the internet though. So I 212 00:10:43,520 --> 00:10:45,480 Speaker 2: remember what we did some sort of swap there in 213 00:10:45,520 --> 00:10:47,040 Speaker 2: Afghanistan where I believe it was. 214 00:10:47,080 --> 00:10:49,520 Speaker 1: It was like a no, no, no, the hostages. You 215 00:10:49,880 --> 00:10:52,240 Speaker 1: send them the money and then they just drop off 216 00:10:52,280 --> 00:10:52,800 Speaker 1: the hostage. 217 00:10:52,840 --> 00:10:54,480 Speaker 3: You have to trust them that they're going to do it. 218 00:10:56,400 --> 00:10:59,280 Speaker 2: Well, ye, the trust is the hard part. The trust part. Well, 219 00:10:59,280 --> 00:11:01,240 Speaker 2: when we got that bo burged off? Was that the 220 00:11:01,240 --> 00:11:03,640 Speaker 2: one where we got back of that numb nut soldier 221 00:11:04,280 --> 00:11:07,280 Speaker 2: and they met like in a valley and we let 222 00:11:07,600 --> 00:11:10,640 Speaker 2: five al Qaeda terracets walk across and then they send 223 00:11:10,679 --> 00:11:11,520 Speaker 2: him across or something. 224 00:11:11,520 --> 00:11:14,080 Speaker 3: They did have the hole walking past each other in 225 00:11:14,120 --> 00:11:14,480 Speaker 3: the middle. 226 00:11:14,559 --> 00:11:18,960 Speaker 1: That's the spy movie classic exchange and it's. 227 00:11:18,840 --> 00:11:19,520 Speaker 3: From real life. 228 00:11:19,600 --> 00:11:21,760 Speaker 2: Yeah right, And they said various things to each other, 229 00:11:21,800 --> 00:11:22,760 Speaker 2: that is how it went down. 230 00:11:23,200 --> 00:11:25,520 Speaker 1: And everybody has guns out. You shoot our guy, we're 231 00:11:25,520 --> 00:11:26,480 Speaker 1: shooting your guys. 232 00:11:27,200 --> 00:11:27,400 Speaker 3: Yeah. 233 00:11:27,440 --> 00:11:30,120 Speaker 2: I gotta think, I gotta think this all through before 234 00:11:30,160 --> 00:11:31,960 Speaker 2: I robbed the louver. Because I haven't figured out how 235 00:11:31,960 --> 00:11:34,600 Speaker 2: to get my money, I'll leave it in a sack 236 00:11:34,640 --> 00:11:37,160 Speaker 2: in the park. God, don't you didn't give me the money? 237 00:11:37,240 --> 00:11:37,680 Speaker 1: Crap. 238 00:11:38,040 --> 00:11:39,240 Speaker 2: I knew that was gonna happen. 239 00:11:40,880 --> 00:11:42,800 Speaker 3: It's a bag full of old magazines. 240 00:11:43,960 --> 00:11:45,319 Speaker 2: I thought that's dishonest. 241 00:11:49,480 --> 00:11:49,600 Speaker 5: Uh. 242 00:11:50,640 --> 00:11:54,040 Speaker 2: We learned something about Amazon yesterday when the when they 243 00:11:54,040 --> 00:11:56,720 Speaker 2: got either they got hacked or they had a software 244 00:11:56,720 --> 00:11:58,840 Speaker 2: problem or they forgot to update their app or whatever, 245 00:11:59,040 --> 00:12:02,719 Speaker 2: brought down tons of websites around the world, among other 246 00:12:02,760 --> 00:12:04,440 Speaker 2: things we can talk about coming up. Stay here. 247 00:12:08,600 --> 00:12:09,280 Speaker 3: Switching gears. 248 00:12:09,320 --> 00:12:12,560 Speaker 8: Today, Amazon Web Services was hit by a massive outerage 249 00:12:12,600 --> 00:12:16,280 Speaker 8: that brought down major apps and websites like Fortnite, Snapchat, 250 00:12:16,280 --> 00:12:21,800 Speaker 8: and Facebook. Everyone under twenty was like, not Fortnite, Everyone 251 00:12:21,880 --> 00:12:24,720 Speaker 8: under thirty was like not Snapchat, and everyone over for 252 00:12:24,800 --> 00:12:25,920 Speaker 8: it was like not Facebook. 253 00:12:26,080 --> 00:12:30,640 Speaker 2: That's pretty good, that's pretty good. Yeah, who knew Facebook 254 00:12:30,760 --> 00:12:35,120 Speaker 2: was connected to Amazon's web server. It turns out lots 255 00:12:35,120 --> 00:12:38,360 Speaker 2: and lots and lots and lots of stuff is oh yeah, 256 00:12:38,400 --> 00:12:40,640 Speaker 2: which is a little frightening if you start thinking about, 257 00:12:40,679 --> 00:12:42,840 Speaker 2: you know, Chinese hacks or whatever, because they probably know 258 00:12:42,880 --> 00:12:46,280 Speaker 2: that people couldn't use their Starbucks app at the Starbucks 259 00:12:46,360 --> 00:12:50,200 Speaker 2: yesterday because Amazon got hacked. Yeah, because so many people 260 00:12:50,200 --> 00:12:52,920 Speaker 2: are hosted or tied in or whatever with Amazon. 261 00:12:53,280 --> 00:12:55,240 Speaker 1: Well, they did not get hacked. They are saying it 262 00:12:55,320 --> 00:12:58,840 Speaker 1: was a an update techie problem, maybe internal. 263 00:12:59,000 --> 00:12:59,840 Speaker 3: Everything's fine. 264 00:13:00,040 --> 00:13:01,800 Speaker 1: But as you say, if it was a Chinese heck 265 00:13:01,880 --> 00:13:03,960 Speaker 1: the I'm sure our security services would have told him. 266 00:13:04,000 --> 00:13:07,520 Speaker 1: Don't say so. We're working our way through it. But anyway, 267 00:13:07,880 --> 00:13:11,400 Speaker 1: oh uh, speaking of China. Fascinating demographic note about China 268 00:13:11,440 --> 00:13:13,640 Speaker 1: coming up in a moment or two. But first, why 269 00:13:13,679 --> 00:13:17,480 Speaker 1: would we play more clips from the No Kings marches 270 00:13:17,559 --> 00:13:18,280 Speaker 1: over the weekend? 271 00:13:18,880 --> 00:13:22,760 Speaker 3: Because it's fun. That's why. Let's hear some more. 272 00:13:23,080 --> 00:13:25,440 Speaker 7: We're out here the No Kings protest, and we're asking 273 00:13:25,520 --> 00:13:27,080 Speaker 7: all your great questions. 274 00:13:26,600 --> 00:13:29,160 Speaker 6: Such as if Trump was elected, how exactly is he 275 00:13:29,200 --> 00:13:29,760 Speaker 6: a being. 276 00:13:32,400 --> 00:13:36,160 Speaker 3: Because he is trying. 277 00:13:35,600 --> 00:13:42,679 Speaker 4: To take control of everything, like his Texan balances. 278 00:13:42,040 --> 00:13:45,880 Speaker 7: Are not working, so he is just trying to completely 279 00:13:45,880 --> 00:13:47,119 Speaker 7: disregard to Constitution. 280 00:13:51,840 --> 00:13:52,319 Speaker 5: I don't know. 281 00:13:52,520 --> 00:13:58,040 Speaker 3: I feel like a lot of amendments have been kind 282 00:13:58,040 --> 00:14:00,480 Speaker 3: of a pubercome like in a way that they're not 283 00:14:00,559 --> 00:14:06,120 Speaker 3: so used to be Leah, which specific Yeah, the first one, 284 00:14:08,040 --> 00:14:09,199 Speaker 3: freedom of protesting. 285 00:14:10,080 --> 00:14:13,520 Speaker 1: I hope these weren't college students. They were all young 286 00:14:13,600 --> 00:14:17,079 Speaker 1: adult those were young adult women. Yeah, yeah, they were 287 00:14:17,080 --> 00:14:17,560 Speaker 1: not children. 288 00:14:17,600 --> 00:14:21,720 Speaker 2: By like, lots of our amendments are being overcome, like 289 00:14:21,720 --> 00:14:23,960 Speaker 2: like which one? Like the first one? 290 00:14:24,400 --> 00:14:24,920 Speaker 3: Yeah? 291 00:14:25,000 --> 00:14:28,560 Speaker 1: Yeah, our freedom of protest? You're you're literally had a 292 00:14:28,640 --> 00:14:30,520 Speaker 1: giant protest right now. 293 00:14:32,040 --> 00:14:34,600 Speaker 3: One more Michael forty five. I would say that it's 294 00:14:34,600 --> 00:14:36,120 Speaker 3: because even though he was elected. 295 00:14:36,160 --> 00:14:38,040 Speaker 2: I agree, you know, due process. 296 00:14:37,640 --> 00:14:39,880 Speaker 3: He got what he you know, he all elected fairly, sure, 297 00:14:40,400 --> 00:14:42,400 Speaker 3: but he's doing things that make him a king, like 298 00:14:42,480 --> 00:14:44,920 Speaker 3: he's taking away you know, civil rights. 299 00:14:45,960 --> 00:14:49,960 Speaker 2: I that's a great question. I don't particular things. 300 00:14:50,200 --> 00:14:50,960 Speaker 3: He's a king. 301 00:14:51,040 --> 00:14:55,240 Speaker 2: It's how people want viewing him. Ask oh, actively switching 302 00:14:55,280 --> 00:14:58,200 Speaker 2: the levers of power and orches suburg elections, and what 303 00:14:58,240 --> 00:14:58,760 Speaker 2: does that mean? 304 00:15:00,280 --> 00:15:03,880 Speaker 6: Such as uh uh not a. 305 00:15:05,400 --> 00:15:11,240 Speaker 3: Sorry trouble coming up the door? Now. 306 00:15:11,320 --> 00:15:13,320 Speaker 2: The one woman in there, she had an answer that 307 00:15:13,600 --> 00:15:15,200 Speaker 2: is reasonable. But how do you end up at a 308 00:15:15,200 --> 00:15:18,080 Speaker 2: protest and you can't enunciate why you're there? I I've 309 00:15:18,080 --> 00:15:19,920 Speaker 2: never been to a protest, but I'm pretty sure if 310 00:15:19,920 --> 00:15:22,720 Speaker 2: I'm ever at one, if you ask me what I'm protesting, 311 00:15:22,920 --> 00:15:24,280 Speaker 2: I would be able to tell you. 312 00:15:25,280 --> 00:15:29,000 Speaker 1: And then finally from the family guy forty six, Michael, 313 00:15:29,600 --> 00:15:30,360 Speaker 1: what do we want? 314 00:15:30,600 --> 00:15:33,600 Speaker 3: We do know when do we want it? Also, I'm 315 00:15:33,720 --> 00:15:35,400 Speaker 3: clear why do we want it? 316 00:15:35,480 --> 00:15:39,920 Speaker 2: Because it was forwarded to, so it must be true. 317 00:15:43,400 --> 00:15:47,360 Speaker 2: I recognized the voice of what Peter Griffin, shut up, 318 00:15:47,440 --> 00:15:50,720 Speaker 2: mag let's see. So I'm sorry that was That was weird. 319 00:15:50,800 --> 00:15:53,280 Speaker 3: That was like Homer Simpson a wrong cartoon guy. 320 00:15:54,200 --> 00:15:57,560 Speaker 1: So I was just reading an article about how Chinese, 321 00:15:57,840 --> 00:16:00,600 Speaker 1: like middle aged and older people are desperate for their 322 00:16:00,680 --> 00:16:04,000 Speaker 1: kids to get married because nobody is getting married, and 323 00:16:04,040 --> 00:16:04,840 Speaker 1: they have this. 324 00:16:05,360 --> 00:16:06,480 Speaker 3: It's kind of one of those. 325 00:16:06,440 --> 00:16:09,840 Speaker 1: Job fairs in this big park, but it's not a 326 00:16:09,920 --> 00:16:13,480 Speaker 1: job fair. It's like a resume sometimes with pictures sometimes 327 00:16:13,520 --> 00:16:17,960 Speaker 1: not posted, you know, just walls full of them, and 328 00:16:18,000 --> 00:16:20,040 Speaker 1: the parents come through and try to pick out what 329 00:16:20,120 --> 00:16:21,040 Speaker 1: might be a good. 330 00:16:20,800 --> 00:16:22,680 Speaker 3: Match for their their kid. 331 00:16:22,840 --> 00:16:26,200 Speaker 2: Oh my god, helicopter parents picking out a spouse for you. 332 00:16:26,840 --> 00:16:30,600 Speaker 1: Well, it's because and it's so crowded sometimes it's hard 333 00:16:30,640 --> 00:16:34,280 Speaker 1: to move people trying to do this. They mentioned that 334 00:16:34,440 --> 00:16:36,640 Speaker 1: in a nation of one point what is it, one 335 00:16:36,640 --> 00:16:40,280 Speaker 1: point four billion, one point three billion people, just six 336 00:16:40,400 --> 00:16:44,720 Speaker 1: million couples registered their marriages last year. That's down twenty 337 00:16:44,800 --> 00:16:50,760 Speaker 1: one percent from the previous year. Wow, their marriage rates 338 00:16:50,920 --> 00:16:55,880 Speaker 1: and birth rates are plunging. They're already way way below replacement. 339 00:16:56,560 --> 00:17:00,239 Speaker 1: China could have half its population in like sixty years. 340 00:17:01,400 --> 00:17:04,480 Speaker 2: That is something, how me something an experiment to watch 341 00:17:04,600 --> 00:17:04,920 Speaker 2: for the. 342 00:17:04,840 --> 00:17:08,959 Speaker 1: World, And I wonder how that factors indusheshen Ping's decisions 343 00:17:09,040 --> 00:17:13,840 Speaker 1: about the great conquest that he believes is China's a 344 00:17:13,840 --> 00:17:16,120 Speaker 1: lot that they should stand astride the world. 345 00:17:16,280 --> 00:17:19,200 Speaker 2: How to keep from getting Parkinson's new information looking forward 346 00:17:19,240 --> 00:17:24,800 Speaker 2: to this, Yeah, Armstrong and Getty looking up cvjd Vance 347 00:17:24,920 --> 00:17:29,560 Speaker 2: is in Israel in the Middle East, saying about fifteen 348 00:17:29,600 --> 00:17:34,040 Speaker 2: of the hostages bodies are not known where they exist. 349 00:17:34,240 --> 00:17:35,680 Speaker 2: I don't know what that does for the whole peace 350 00:17:35,720 --> 00:17:38,000 Speaker 2: talks thing. Anyway, if he says something interesting, we'll let 351 00:17:38,040 --> 00:17:38,239 Speaker 2: you know. 352 00:17:39,680 --> 00:17:43,960 Speaker 1: One more note on that Chinese matchmaking article I was 353 00:17:44,000 --> 00:17:46,639 Speaker 1: talking about. I was reading down. Some of the stuff 354 00:17:46,800 --> 00:17:50,600 Speaker 1: was funny. What they're looking for in search of you know, 355 00:17:50,640 --> 00:17:52,680 Speaker 1: you've got to be this height or this age. 356 00:17:52,400 --> 00:17:55,680 Speaker 2: Or light earning power. It's a big thing for men. 357 00:17:56,320 --> 00:17:58,880 Speaker 1: But then you get into this couple of sentences. This 358 00:17:58,920 --> 00:18:01,359 Speaker 1: is in the journal by the way. The aftermath of 359 00:18:01,440 --> 00:18:05,840 Speaker 1: China's one child policies created unique difficulties for singles. Men 360 00:18:05,880 --> 00:18:09,879 Speaker 1: outnumber women due to a traditional cultural preference for sons. 361 00:18:12,880 --> 00:18:15,080 Speaker 1: You can have all the cultural preference you want, that 362 00:18:15,160 --> 00:18:17,360 Speaker 1: doesn't influence whether you have a boy or girl. 363 00:18:17,400 --> 00:18:20,199 Speaker 2: You'll end up with fifty to fifty boys and girls roughly, 364 00:18:20,480 --> 00:18:25,399 Speaker 2: unless you have forced government abortions of girl or or 365 00:18:25,680 --> 00:18:29,640 Speaker 2: choice choice abortions of girls by families. 366 00:18:29,960 --> 00:18:33,560 Speaker 1: That's the cultural preference for sons. They aborted girl babies 367 00:18:33,680 --> 00:18:36,800 Speaker 1: or killed them when they appeared, or just sent them 368 00:18:36,800 --> 00:18:39,639 Speaker 1: off to orphanages and said that's not my kid, just 369 00:18:39,720 --> 00:18:47,960 Speaker 1: abandon them. So yeah, yeah, a traditional culture preference for sons. Wow, okay, 370 00:18:48,000 --> 00:18:51,359 Speaker 1: is that what passes for journalism these days? Unbelievable? All right, 371 00:18:51,960 --> 00:18:59,159 Speaker 1: moving a long right too. So, I, Joe Getty, we 372 00:18:59,280 --> 00:19:03,040 Speaker 1: lost my mom several years ago. She died of complications 373 00:19:03,040 --> 00:19:08,360 Speaker 1: from Parkinson's disease, as did my grandfather, her dad, and 374 00:19:08,480 --> 00:19:14,119 Speaker 1: so my fellow siblings and I are more than a 375 00:19:14,200 --> 00:19:18,760 Speaker 1: little interested in Parkinson's disease and how it You know 376 00:19:19,240 --> 00:19:21,200 Speaker 1: what the patterns are in the rest of I don't. 377 00:19:21,600 --> 00:19:24,800 Speaker 2: Is there a hereditary component to Parkinson's I didn't know that. 378 00:19:25,359 --> 00:19:29,240 Speaker 1: Yes, yes, and we'll get to that in a second. 379 00:19:29,760 --> 00:19:33,439 Speaker 1: But so I read this article top to bottom. Believe me, 380 00:19:34,600 --> 00:19:37,040 Speaker 1: the science is continuing to evolve, but this is for 381 00:19:37,240 --> 00:19:40,840 Speaker 1: surprising things that may reduce your risk of Parkinson's, which 382 00:19:41,160 --> 00:19:43,480 Speaker 1: was once considered relatively rare. It's now one of the 383 00:19:43,480 --> 00:19:47,840 Speaker 1: most common neurological disorders in the world, second place after Alzheimer's. 384 00:19:48,760 --> 00:19:50,960 Speaker 1: A number of people living with Parkinson's is more than 385 00:19:50,960 --> 00:19:55,159 Speaker 1: doubled in the past twenty five years, et cetera. About 386 00:19:55,200 --> 00:19:58,280 Speaker 1: ten to fifteen percent of cases are linked to inherited 387 00:19:58,359 --> 00:20:03,400 Speaker 1: genetic mutations. The rest are considered sporadic with no known 388 00:20:03,520 --> 00:20:09,040 Speaker 1: cause till seventeen. Is what you said ten to fifteen. 389 00:20:10,960 --> 00:20:14,080 Speaker 1: Although treatments are available that can manage symptoms, there's no 390 00:20:14,280 --> 00:20:16,360 Speaker 1: cure or that can really slow the. 391 00:20:16,320 --> 00:20:19,600 Speaker 3: Disease progression, et cetera, et cetera. If you know about this, 392 00:20:19,720 --> 00:20:21,680 Speaker 3: you do. If you don't, you can look into it yourself. 393 00:20:22,720 --> 00:20:28,119 Speaker 1: But there are ongoing research on Parkinson's is revealing several 394 00:20:28,200 --> 00:20:30,640 Speaker 1: risk factors related to lifestyle and environments, some of which 395 00:20:30,680 --> 00:20:34,560 Speaker 1: are actionable. For example, moderate to vigorous exercise may reduce 396 00:20:34,600 --> 00:20:38,679 Speaker 1: one's risk, according to a twenty eighteen meta analysis healthy 397 00:20:38,720 --> 00:20:41,760 Speaker 1: eating less or unprocessed foods. 398 00:20:42,080 --> 00:20:43,280 Speaker 3: Last year's study. 399 00:20:42,960 --> 00:20:45,760 Speaker 1: Found that higher levels of exposure to air pollution were 400 00:20:45,800 --> 00:20:50,120 Speaker 1: associated with an increased risk of Parkinson's. All of that 401 00:20:50,240 --> 00:20:53,560 Speaker 1: is still in the preliminary stages. Is it correlation or 402 00:20:53,600 --> 00:20:57,880 Speaker 1: is it causation? But this is amazing to me. Here's 403 00:20:57,920 --> 00:21:00,199 Speaker 1: some lesser known risk factors that can be offset by 404 00:21:00,240 --> 00:21:04,000 Speaker 1: actions you can take. Is recommended by experts. Caffeine lovers rejoice. 405 00:21:04,080 --> 00:21:06,919 Speaker 1: Both coffee and tea consumption have been linked to a 406 00:21:06,960 --> 00:21:10,440 Speaker 1: lower risk of developing Parkinson's disease, at least in part 407 00:21:10,480 --> 00:21:15,679 Speaker 1: because of the caffeine. Yes, the mechanism isn't entirely understood, 408 00:21:15,680 --> 00:21:18,680 Speaker 1: but it's known that caffeine, which I'm sucking down right now, 409 00:21:19,040 --> 00:21:23,480 Speaker 1: reduces oxidative stress, which is an imbalance of free radicals 410 00:21:23,480 --> 00:21:26,159 Speaker 1: and antiocidants in the body that lead to cell damage 411 00:21:26,160 --> 00:21:30,760 Speaker 1: as well as inflammation within the brain. And a meta 412 00:21:30,840 --> 00:21:33,960 Speaker 1: analysis of twenty six studies confirmed that higher caffeine intake 413 00:21:34,040 --> 00:21:37,600 Speaker 1: is associated with lower Parkinson's risk. It's been observed for 414 00:21:38,240 --> 00:21:41,159 Speaker 1: a number of different substances blah blah blah, so that 415 00:21:41,240 --> 00:21:44,160 Speaker 1: one looks pretty good. They quote a bunch of different scientists. 416 00:21:44,560 --> 00:21:48,440 Speaker 1: Here's somebody from the Duke Something Medical Center. The risk 417 00:21:48,520 --> 00:21:51,119 Speaker 1: reduction generally is twenty five to thirty percent if you 418 00:21:51,200 --> 00:21:53,800 Speaker 1: take two to three six to eight ounce cups of 419 00:21:53,800 --> 00:21:55,680 Speaker 1: coffee per day over ten years. 420 00:21:57,520 --> 00:22:00,240 Speaker 3: How about a gallon of coffee over fifty years. 421 00:22:00,640 --> 00:22:02,160 Speaker 2: The first fifteen minutes of the day. 422 00:22:02,560 --> 00:22:03,560 Speaker 3: You gotta be able to fly. 423 00:22:03,920 --> 00:22:12,480 Speaker 1: Yeah, okay, be careful about dry cleaning. What trichloethylene I'm sorry, 424 00:22:12,520 --> 00:22:14,520 Speaker 1: trichloroethylene TCE. 425 00:22:14,840 --> 00:22:15,240 Speaker 3: We'll just go. 426 00:22:15,359 --> 00:22:20,240 Speaker 1: TCE is an industrial solvent long used in dry cleaning, degreasing, 427 00:22:20,400 --> 00:22:23,639 Speaker 1: and furniture care. It's considered a carcinogen, been linked to 428 00:22:23,680 --> 00:22:26,480 Speaker 1: certain types of cancer as well as damage to reproductive organs, 429 00:22:26,520 --> 00:22:30,640 Speaker 1: nervous system, immune system, and the growing body of evidence 430 00:22:30,720 --> 00:22:33,080 Speaker 1: is beginning to reveal that exposure to high levels of TCE, 431 00:22:33,440 --> 00:22:38,000 Speaker 1: such as in contaminated drinking water, as well as closely 432 00:22:38,040 --> 00:22:42,600 Speaker 1: related chemicals called PCE, may risk increase the risk of Parkinson's. 433 00:22:42,680 --> 00:22:45,320 Speaker 2: Would it be something if we figure out that autism, 434 00:22:45,520 --> 00:22:47,560 Speaker 2: Parkinson's or whatever. A lot of it had to do 435 00:22:47,640 --> 00:22:50,920 Speaker 2: with more people move into cities and needing to get 436 00:22:50,920 --> 00:22:51,840 Speaker 2: their shirts pressed. 437 00:22:53,240 --> 00:22:54,359 Speaker 3: It's possible. 438 00:22:55,560 --> 00:22:58,480 Speaker 1: Some of the evidence for this was a groundbreaking twenty 439 00:22:58,560 --> 00:23:02,879 Speaker 1: twenty three study and you've seen commercials for lawyers linked 440 00:23:02,920 --> 00:23:06,080 Speaker 1: to this, that discovered that veterans who'd been exposed to 441 00:23:06,160 --> 00:23:10,280 Speaker 1: TCE and PCE contaminated water at Marine Corps based Camp 442 00:23:10,400 --> 00:23:14,080 Speaker 1: Lejune in North Carolina had a seventy percent higher risk 443 00:23:14,119 --> 00:23:17,840 Speaker 1: of developing Parkinson's compared to veterans who were at Camp 444 00:23:17,840 --> 00:23:22,520 Speaker 1: Pendleton in California that did not have contaminated water seventy 445 00:23:22,560 --> 00:23:25,560 Speaker 1: percent higher. And they go into the numbers which are 446 00:23:25,640 --> 00:23:31,600 Speaker 1: shocking and absolutely heartbreaking. Now, in the fifties, TCE was 447 00:23:31,640 --> 00:23:35,000 Speaker 1: replaced by PCE, but PCE can still biodegrade into TCE. 448 00:23:36,000 --> 00:23:41,000 Speaker 1: I believe both have been banned in California, but sixty 449 00:23:41,040 --> 00:23:43,399 Speaker 1: to seventy percent of dry cleaners in the US still 450 00:23:43,520 --> 00:23:46,000 Speaker 1: use it. The scientist says, if your dry cleaner is 451 00:23:46,080 --> 00:23:50,080 Speaker 1: using PCE, take the bag off area clothes outside so 452 00:23:50,119 --> 00:23:52,560 Speaker 1: the chemicals aren't released inside where you're breathing them. 453 00:23:52,920 --> 00:23:56,000 Speaker 2: No kidding, Wow, Yeah, all right. 454 00:23:56,040 --> 00:23:59,560 Speaker 1: A couple more big ones avoid pesticides. Numerous studies of 455 00:23:59,600 --> 00:24:03,800 Speaker 1: lincoxsposure to high levels of pesticides to Parkinson's disease. Twenty 456 00:24:03,840 --> 00:24:08,960 Speaker 1: eleven study reported combined exposure to the well I'll just say, 457 00:24:09,480 --> 00:24:14,800 Speaker 1: zerum maneb and paraquat in workplaces in heavily agricultural regions 458 00:24:14,840 --> 00:24:17,679 Speaker 1: California increase the risk of Parkinson's threefold. 459 00:24:19,400 --> 00:24:19,760 Speaker 3: They say. 460 00:24:19,800 --> 00:24:23,920 Speaker 1: Switch to organic produce, which avoids certain pesticides, including the 461 00:24:23,960 --> 00:24:27,280 Speaker 1: three named above, has been shown to reduce pesticide biomarkers 462 00:24:27,280 --> 00:24:31,680 Speaker 1: found in urine within days. How important it is, They're 463 00:24:31,720 --> 00:24:35,720 Speaker 1: not quite sure, and then finally considered use it. 464 00:24:35,800 --> 00:24:37,359 Speaker 3: Consider using a water filter. 465 00:24:37,840 --> 00:24:40,400 Speaker 1: Drinking water can be a source of pesticides in industrial 466 00:24:40,520 --> 00:24:45,200 Speaker 1: chemicals such as peace a tce. Depends where you live, 467 00:24:45,480 --> 00:24:48,639 Speaker 1: You got to get your water tested. Golf courses here 468 00:24:49,480 --> 00:24:52,240 Speaker 1: are often treated with pesticides to maintain the pristine look 469 00:24:52,240 --> 00:24:55,440 Speaker 1: of the greens and fairways, and those chemicals can contaminate 470 00:24:55,440 --> 00:24:58,320 Speaker 1: both the surrounding air and drinking water. 471 00:24:58,840 --> 00:24:59,760 Speaker 3: Dorsey and his colleagues. 472 00:24:59,760 --> 00:25:02,360 Speaker 1: That's the scientists found us in a study this year 473 00:25:02,359 --> 00:25:04,440 Speaker 1: that people living within a mile of a golf course, 474 00:25:04,560 --> 00:25:08,280 Speaker 1: how about like a few yards, were more than twice 475 00:25:08,280 --> 00:25:10,960 Speaker 1: as likely to be diagnosed with Parkinson's compared with those 476 00:25:11,040 --> 00:25:12,120 Speaker 1: living six miles away. 477 00:25:12,240 --> 00:25:20,679 Speaker 3: Or more. Yikes, that last one is not good. Honey, 478 00:25:20,760 --> 00:25:21,600 Speaker 3: we're moving again. 479 00:25:22,880 --> 00:25:25,000 Speaker 1: I just anyway will post this at Armstrong and Giddy 480 00:25:25,040 --> 00:25:28,080 Speaker 1: dot com under hot links. It's Washington Post piece, and 481 00:25:28,359 --> 00:25:31,200 Speaker 1: it'll be right next to the fabulous Feminization of America 482 00:25:31,600 --> 00:25:33,520 Speaker 1: essay that we were talking about to an hour two 483 00:25:33,520 --> 00:25:33,960 Speaker 1: of the show. 484 00:25:34,560 --> 00:25:38,040 Speaker 2: Speaking of coffee, I just bought a new fancy, really 485 00:25:38,080 --> 00:25:42,040 Speaker 2: fancy coffee machine. I don't drink, so I can't like 486 00:25:42,080 --> 00:25:46,680 Speaker 2: get into wine or craft beer or scotch or any 487 00:25:46,680 --> 00:25:50,080 Speaker 2: of the things that some other people get into or cigars, 488 00:25:50,680 --> 00:25:54,840 Speaker 2: you know, for variety of reasons, but coffee. So I 489 00:25:54,880 --> 00:25:56,879 Speaker 2: bought this fancy coffee machine because sometimes when I go 490 00:25:56,880 --> 00:25:59,760 Speaker 2: to a fancy restaurant and I get a cup of coffee, 491 00:25:59,760 --> 00:26:02,399 Speaker 2: it's just so damn much better than what I usually drink. 492 00:26:02,800 --> 00:26:04,360 Speaker 3: Oh yeah, yeah, real difference. 493 00:26:04,440 --> 00:26:06,760 Speaker 2: And so I bought this fancy coffee machine. I get 494 00:26:06,760 --> 00:26:08,760 Speaker 2: it on Friday. I'll let you I found a used one, 495 00:26:08,800 --> 00:26:13,679 Speaker 2: because they're ridiculously expensive. O's see if I actually end 496 00:26:13,720 --> 00:26:15,159 Speaker 2: up using in her liking and it might just be 497 00:26:15,200 --> 00:26:17,920 Speaker 2: a sad, desperate attempt as a full time single parent 498 00:26:17,960 --> 00:26:22,040 Speaker 2: to find joy in my life, but or maybe I 499 00:26:22,040 --> 00:26:23,720 Speaker 2: will really like coffee and use it every day. 500 00:26:24,480 --> 00:26:27,680 Speaker 3: I track arms trom loves coffee. 501 00:26:29,440 --> 00:26:32,840 Speaker 1: And what's that was that just produced like in the 502 00:26:32,920 --> 00:26:34,280 Speaker 1: last fifteen seconds? 503 00:26:34,359 --> 00:26:36,879 Speaker 2: And what did that accomplish? What does that mean? 504 00:26:37,080 --> 00:26:41,040 Speaker 1: Yes, Hanson had that Hanson, do your job all right, 505 00:26:42,560 --> 00:26:43,520 Speaker 1: quit screwing around. 506 00:26:44,040 --> 00:26:47,880 Speaker 2: Sure, but that added to the conversation. Yeah. 507 00:26:47,960 --> 00:26:49,719 Speaker 1: I took a look at some of the fancy machines 508 00:26:49,720 --> 00:26:51,640 Speaker 1: because my youngest daughter and I like to go out 509 00:26:51,640 --> 00:26:54,440 Speaker 1: for a latte when she's in town, that sort of thing. Uh, 510 00:26:54,480 --> 00:26:56,600 Speaker 1: And I think, wow, I really like those. Maybe it'd 511 00:26:56,640 --> 00:26:59,480 Speaker 1: be nice in the afternoon, but not with the milk 512 00:26:59,520 --> 00:26:59,960 Speaker 1: and the clay. 513 00:27:00,359 --> 00:27:01,720 Speaker 2: I see, I got it. See I did a lot 514 00:27:01,720 --> 00:27:03,919 Speaker 2: of research on this with the help of chat GPT, 515 00:27:04,080 --> 00:27:07,520 Speaker 2: comparing different thing completely no milk thing. I not drinking 516 00:27:07,520 --> 00:27:09,480 Speaker 2: any milk drinks. I don't drink milk drinks. So yeah, 517 00:27:09,520 --> 00:27:11,280 Speaker 2: because the cleanup what I didn't want, because I've been 518 00:27:11,280 --> 00:27:14,000 Speaker 2: at people's houses before. I'll make you one and it 519 00:27:14,000 --> 00:27:16,280 Speaker 2: takes them like fifteen minutes to get it all set up. 520 00:27:16,480 --> 00:27:18,359 Speaker 2: Then they make you a little shot of espresso. Then 521 00:27:18,400 --> 00:27:20,120 Speaker 2: I watched them clean for like a half an hour, 522 00:27:20,119 --> 00:27:21,520 Speaker 2: and I thought I don't want to do that. I 523 00:27:21,520 --> 00:27:24,399 Speaker 2: have no interest in that. So I got the whatever 524 00:27:24,480 --> 00:27:27,040 Speaker 2: self cleaning something or other whatever. Well, i'll see if 525 00:27:27,040 --> 00:27:27,560 Speaker 2: I like it, or. 526 00:27:27,600 --> 00:27:30,880 Speaker 3: I copy that and paste that to a text. I'd 527 00:27:30,960 --> 00:27:31,879 Speaker 3: like to see what you went with. 528 00:27:32,000 --> 00:27:35,760 Speaker 2: I'll see if I again desperate attempt to make myself 529 00:27:35,800 --> 00:27:40,680 Speaker 2: happy with commercial items. Yeah, I was playing a storm. 530 00:27:41,040 --> 00:27:42,800 Speaker 2: I needed to get a new computer for my son 531 00:27:42,840 --> 00:27:44,879 Speaker 2: the other day, and I was trying to compare various things. 532 00:27:45,240 --> 00:27:47,760 Speaker 2: I gave chat GPT, I told chat GPT, I did 533 00:27:47,800 --> 00:27:50,359 Speaker 2: the same thing on groc and Claude said, this is 534 00:27:50,359 --> 00:27:52,080 Speaker 2: what my son does with it a computer, this is 535 00:27:52,080 --> 00:27:54,119 Speaker 2: the game he wants, wants what kind of computer should get. 536 00:27:54,240 --> 00:27:57,440 Speaker 2: And it started comparing and contrasting and strengths and weaknesses 537 00:27:57,440 --> 00:27:59,880 Speaker 2: and asking me questions and narrowing it down and saying 538 00:28:00,080 --> 00:28:01,960 Speaker 2: this would be overkill, so don't buy that, bab bah. 539 00:28:02,119 --> 00:28:05,840 Speaker 2: It was amazing, absolutely amazing. It would have taken me 540 00:28:05,960 --> 00:28:07,920 Speaker 2: hours to do that kind of research on my own. 541 00:28:08,280 --> 00:28:10,000 Speaker 1: Yeah, I've done a couple of things like that lately, 542 00:28:10,040 --> 00:28:13,199 Speaker 1: and it's just absolutely stunning. It's funny because you know that, 543 00:28:13,480 --> 00:28:16,000 Speaker 1: and we were talking about the differences between men and 544 00:28:16,040 --> 00:28:19,439 Speaker 1: women during hour two in general, and you know, guys, 545 00:28:19,560 --> 00:28:21,719 Speaker 1: knowing things and being able to do things is how 546 00:28:21,760 --> 00:28:22,600 Speaker 1: we have status. 547 00:28:23,720 --> 00:28:25,120 Speaker 3: But now everybody knows everything. 548 00:28:25,240 --> 00:28:30,600 Speaker 1: If you master the rather easy art of using AI systems. 549 00:28:30,760 --> 00:28:32,840 Speaker 1: Sure now it helps that you know what to ask 550 00:28:32,880 --> 00:28:35,399 Speaker 1: and how to ask, but really not much. 551 00:28:36,400 --> 00:28:38,840 Speaker 3: So now everybody knows everything. So what's the least? 552 00:28:38,960 --> 00:28:41,920 Speaker 2: Sometimes I ask AI, am I being scammed here? And 553 00:28:41,960 --> 00:28:44,160 Speaker 2: I explained something to them? Well, another way to handle 554 00:28:44,200 --> 00:28:47,360 Speaker 2: that is webroot. Yeah, it seems like there are new 555 00:28:47,400 --> 00:28:48,440 Speaker 2: scams every day. 556 00:28:48,560 --> 00:28:50,600 Speaker 1: Tech scams, data breach is hard to keep up, and 557 00:28:50,600 --> 00:28:52,480 Speaker 1: that's why this cyber is scariest month. 558 00:28:52,720 --> 00:28:54,320 Speaker 3: You need webroot total protection. 559 00:28:55,000 --> 00:28:58,880 Speaker 2: Yeah. With real time anti virus, firewall and network monitoring 560 00:28:59,000 --> 00:29:02,160 Speaker 2: and web threat sheeld, you'll be protected from malware, ransomware, 561 00:29:02,280 --> 00:29:06,360 Speaker 2: phishing scams. Plus through identity protection includes dark web monitoring 562 00:29:06,360 --> 00:29:08,480 Speaker 2: to see if your info's floating around in the dark web, 563 00:29:08,640 --> 00:29:10,800 Speaker 2: and up to a million dollars in expense reimbursement for 564 00:29:10,840 --> 00:29:11,560 Speaker 2: stolen funds. 565 00:29:12,120 --> 00:29:15,080 Speaker 1: Secure VPN too twenty four to seven US based customer 566 00:29:15,080 --> 00:29:18,400 Speaker 1: support new tech scam protection. You're back by powerful protection 567 00:29:18,440 --> 00:29:22,200 Speaker 1: that's built for today's threats. So go CyberSecure, not cyber 568 00:29:22,200 --> 00:29:25,120 Speaker 1: scary with sixty percent off webroot Total Protection at webroot 569 00:29:25,160 --> 00:29:27,600 Speaker 1: dot com slash armstrong at sixty percent off for a 570 00:29:27,640 --> 00:29:29,680 Speaker 1: limited time, but only when you go to webroot dot 571 00:29:29,720 --> 00:29:34,440 Speaker 1: com slash armstrong one more time webroot dot com slash armstrong. 572 00:29:34,480 --> 00:29:37,600 Speaker 2: I was watching all these videos about espresso beans versus 573 00:29:37,600 --> 00:29:41,680 Speaker 2: coffee beans and how long after they've been roasted you 574 00:29:41,680 --> 00:29:44,200 Speaker 2: should use them, and I thought, I was thinking the 575 00:29:44,240 --> 00:29:47,560 Speaker 2: whole time, it's amazing what human beings will do to 576 00:29:47,720 --> 00:29:52,280 Speaker 2: avoid like thinking about their actual lives. Whether you get 577 00:29:52,280 --> 00:29:54,560 Speaker 2: into this or that or whatever it is, it's just. 578 00:29:54,680 --> 00:29:57,120 Speaker 3: Yeah, yeah, we need our enthusiasms. 579 00:29:57,440 --> 00:29:59,280 Speaker 2: Yeah, what are you gonna do? 580 00:29:59,320 --> 00:30:02,040 Speaker 3: Sit around, come a plate to you know, death all the. 581 00:30:02,080 --> 00:30:03,600 Speaker 2: Time or the point of life? 582 00:30:04,200 --> 00:30:05,320 Speaker 3: All right, Yeah, that's. 583 00:30:05,200 --> 00:30:07,600 Speaker 2: A good point too. What am I my only supposed 584 00:30:07,600 --> 00:30:12,720 Speaker 2: to think about parenting and mortality or or can sometimes 585 00:30:12,760 --> 00:30:15,239 Speaker 2: I get caught up in, you know, researching a new 586 00:30:15,280 --> 00:30:17,400 Speaker 2: bicycle or a coffeemaker or whatever. 587 00:30:17,880 --> 00:30:20,240 Speaker 3: Life is short and hard and there's a lot of pain. 588 00:30:20,320 --> 00:30:22,200 Speaker 1: So if you find something that makes you happy, if 589 00:30:22,200 --> 00:30:23,640 Speaker 1: it doesn't hurt somebody else. 590 00:30:23,960 --> 00:30:26,479 Speaker 2: Do it. We'll end on that. That's really good. That's 591 00:30:26,520 --> 00:30:30,200 Speaker 2: really I was a lot better than Jack Armstrong drinks coffee. 592 00:30:30,200 --> 00:30:33,440 Speaker 2: I don't know what's wrong, loves coffee. There you go, 593 00:30:33,920 --> 00:30:44,760 Speaker 2: So what was the point to heart? Guess what is. 594 00:30:46,800 --> 00:30:52,880 Speaker 7: Just longer? 595 00:30:53,280 --> 00:30:55,520 Speaker 3: Some on the Bjays My ahead. 596 00:30:56,320 --> 00:30:59,479 Speaker 2: That was some home run right there by George Springer 597 00:31:00,960 --> 00:31:03,840 Speaker 2: of Toronto, who are now going to play the Dodgers 598 00:31:03,880 --> 00:31:06,320 Speaker 2: in the World Series. It's funny he mentioned the Kirk 599 00:31:06,360 --> 00:31:08,920 Speaker 2: Gibson moment. I kind of feel like there's a reverse 600 00:31:09,000 --> 00:31:12,240 Speaker 2: situation going on here. If you're a sports fan, you 601 00:31:12,360 --> 00:31:14,840 Speaker 2: know this. Going back to nineteen eighty eight, the Dodgers 602 00:31:14,840 --> 00:31:18,000 Speaker 2: were just seen as like they got no chance against 603 00:31:18,040 --> 00:31:23,880 Speaker 2: the absolute machine that was the Oakland A's. At that time, 604 00:31:23,960 --> 00:31:26,880 Speaker 2: it wasn't even seen as a why even play the games? 605 00:31:27,720 --> 00:31:30,280 Speaker 2: And then Dodgers ended up winning that World Series. And 606 00:31:30,280 --> 00:31:31,680 Speaker 2: I feel like Dodgers are on the other side of 607 00:31:31,720 --> 00:31:33,719 Speaker 2: this with Toronto, and who knows, maybe we're setting up 608 00:31:33,720 --> 00:31:36,600 Speaker 2: for a very exciting upset now. 609 00:31:36,640 --> 00:31:39,680 Speaker 1: Granted, I don't think there's a single Canadian on the 610 00:31:39,720 --> 00:31:43,160 Speaker 1: Toronto Blue Jays only the Americans are more likely Dominicans 611 00:31:43,200 --> 00:31:47,520 Speaker 1: and Venezuelans. But will there be any sort of weird 612 00:31:47,720 --> 00:31:52,520 Speaker 1: America VERSUS Canada, Trump threatening to annex vibe going on. 613 00:31:52,560 --> 00:31:54,600 Speaker 1: I feel like it could be if it weren't the Dodgers, 614 00:31:54,640 --> 00:31:56,920 Speaker 1: because for as many Dodgers fans as there are, there 615 00:31:56,920 --> 00:31:58,440 Speaker 1: are lots of Dodgers haters too. 616 00:31:58,680 --> 00:31:59,840 Speaker 2: Oh sorry, yeah. 617 00:32:00,240 --> 00:32:02,720 Speaker 1: Is not going to climb on board and say, hey, Dodgers, Sorry, 618 00:32:02,720 --> 00:32:04,000 Speaker 1: Dodgers fans, you know it's true. 619 00:32:04,520 --> 00:32:06,800 Speaker 2: Yeah, No, I was whear of Dodgers hat yesterday. The 620 00:32:06,920 --> 00:32:09,320 Speaker 2: number of people said, what are you doing, dude? 621 00:32:09,360 --> 00:32:14,040 Speaker 1: Where Dodgers had I'd rather see my daughter and my 622 00:32:14,600 --> 00:32:16,240 Speaker 1: sister in a whorehouse, et cetera, et cetera. 623 00:32:16,320 --> 00:32:19,320 Speaker 2: Do you have any idea what this thing? Why? When 624 00:32:19,320 --> 00:32:20,960 Speaker 2: they get a hit they all do this on base 625 00:32:21,040 --> 00:32:22,440 Speaker 2: they do this thing with they wave their hands. Do 626 00:32:22,440 --> 00:32:23,240 Speaker 2: you know where that came from? 627 00:32:23,800 --> 00:32:24,600 Speaker 3: I think they know. 628 00:32:25,080 --> 00:32:27,800 Speaker 1: No, A lot of teams have different versions of that. 629 00:32:28,000 --> 00:32:31,560 Speaker 1: I guess they all have a particular gesture to the dugout. 630 00:32:32,280 --> 00:32:35,440 Speaker 2: So I completely had missed the boat on this this 631 00:32:35,560 --> 00:32:43,760 Speaker 2: story somehow. So this stupid proposition in California to try 632 00:32:43,760 --> 00:32:48,000 Speaker 2: to read district as an attempt to balance out what 633 00:32:48,120 --> 00:32:49,320 Speaker 2: Texas is doing. 634 00:32:49,440 --> 00:32:51,200 Speaker 3: Because California is not blue enough. 635 00:32:51,960 --> 00:32:57,280 Speaker 2: I thought was a just a obvious attempt to look 636 00:32:57,360 --> 00:33:01,360 Speaker 2: like the resistance by Gavin Newsom. The early polling was 637 00:33:01,520 --> 00:33:04,240 Speaker 2: nobody liked it. Almost seventy percent of voters, even sixty 638 00:33:04,240 --> 00:33:06,360 Speaker 2: percent of Democrats said no, no, no, no, no, no. 639 00:33:07,640 --> 00:33:10,560 Speaker 2: Redistricting should be in the hands of that special group. 640 00:33:10,600 --> 00:33:16,000 Speaker 2: Blah blah blah. Right now, but the numbers have completely 641 00:33:16,040 --> 00:33:19,360 Speaker 2: flipped around on that. And now Political's got a story 642 00:33:19,360 --> 00:33:23,800 Speaker 2: out today that they're considering sending Trump to California to 643 00:33:23,880 --> 00:33:28,080 Speaker 2: try to rally Republicans to go to the polls because 644 00:33:28,080 --> 00:33:30,400 Speaker 2: of what you've been saying in these off year elections, 645 00:33:31,280 --> 00:33:35,720 Speaker 2: you know, it's only the really, really really politically motivated 646 00:33:35,720 --> 00:33:37,680 Speaker 2: and often tied into the unions people that go out 647 00:33:37,680 --> 00:33:39,760 Speaker 2: and in California you're going to get trounce. That's what 648 00:33:39,840 --> 00:33:43,440 Speaker 2: happened to Arnold back in the day. But right now 649 00:33:43,520 --> 00:33:46,040 Speaker 2: it's looking like, I mean, Politico and Mark Alpern are 650 00:33:46,040 --> 00:33:48,360 Speaker 2: treating it like, oh, it's a given that this is 651 00:33:48,400 --> 00:33:51,840 Speaker 2: going to pass. Wow, I didn't know that I missed. 652 00:33:51,840 --> 00:33:57,200 Speaker 2: I missed this story completely, and that is disturbing. The Yes. 653 00:33:57,720 --> 00:34:03,000 Speaker 2: Newsom's on prop is spent two one the know and 654 00:34:03,720 --> 00:34:08,640 Speaker 2: it is disturbing. What's disturbing about it to me is 655 00:34:08,680 --> 00:34:11,359 Speaker 2: not so much the what's going to come out of it, 656 00:34:11,800 --> 00:34:14,239 Speaker 2: because it's you know, it's the whole race to the 657 00:34:14,280 --> 00:34:16,560 Speaker 2: bottom jerry mandering. Every state has done it. Now we're 658 00:34:16,600 --> 00:34:18,359 Speaker 2: going to do it even further. And Republicans are doing 659 00:34:18,400 --> 00:34:19,960 Speaker 2: and Democrats have been doing. It's been going on for 660 00:34:20,000 --> 00:34:24,640 Speaker 2: a long time. But the fact that something that seventy 661 00:34:24,680 --> 00:34:29,239 Speaker 2: percent of voters were opposed to could end up going 662 00:34:29,320 --> 00:34:33,279 Speaker 2: the other direction because of you know, the way we 663 00:34:33,320 --> 00:34:35,880 Speaker 2: do things, special interests and the power of the unions 664 00:34:35,880 --> 00:34:38,640 Speaker 2: and everything else. It's not I don't think they changed 665 00:34:38,640 --> 00:34:42,880 Speaker 2: people's minds. I think it's just the concentrated effort. 666 00:34:42,960 --> 00:34:44,600 Speaker 1: Yeah, I'll bet the change in the polls is a 667 00:34:44,680 --> 00:34:50,320 Speaker 1: change in methodology for methodology for likely voters. Yeah, right, 668 00:34:50,400 --> 00:34:54,239 Speaker 1: because the concentrated special interests will have huge turnout. Mister 669 00:34:54,320 --> 00:34:57,319 Speaker 1: and missus California were busy, you know, feeding their kids 670 00:34:57,320 --> 00:34:58,960 Speaker 1: and trying desperately to make a living. 671 00:34:59,560 --> 00:35:00,359 Speaker 3: They won't. 672 00:35:00,480 --> 00:35:02,719 Speaker 2: I knew this at the time, but the numbers were 673 00:35:05,800 --> 00:35:11,680 Speaker 2: so about forty percent of California votes read, which is 674 00:35:11,800 --> 00:35:14,360 Speaker 2: enough to lose every election. But you should have roughly 675 00:35:14,400 --> 00:35:18,400 Speaker 2: forty percent of the House members if you're gonna not 676 00:35:18,600 --> 00:35:21,640 Speaker 2: be jerrymandered. But it's not even close, and it's going 677 00:35:21,719 --> 00:35:25,399 Speaker 2: to go down to like six percent or something if 678 00:35:25,440 --> 00:35:30,359 Speaker 2: this goes through. Yeah, And what's especially galling about this 679 00:35:30,480 --> 00:35:34,600 Speaker 2: and just makes it clear how there's no principle anymore, 680 00:35:35,000 --> 00:35:37,359 Speaker 2: is California has a number of years ago passed a 681 00:35:37,480 --> 00:35:40,480 Speaker 2: law that was very specifically designed of have a nonpartisan 682 00:35:40,640 --> 00:35:44,319 Speaker 2: districting panel try to come up with fair, reasonable districts. Now, 683 00:35:44,360 --> 00:35:47,440 Speaker 2: the Democrats found ways to cheat that and load it anyway, 684 00:35:47,880 --> 00:35:52,239 Speaker 2: but it was like at least halfway toward fairness. 685 00:35:52,400 --> 00:35:57,120 Speaker 1: And Gaby Newsome with the excuse of counterbalancing Texas, never 686 00:35:57,200 --> 00:36:00,480 Speaker 1: mind all of the gerrymandered blue states, including California and 687 00:36:00,600 --> 00:36:05,680 Speaker 1: New York, and then I'm missing an obvious one. Oh Illinois. 688 00:36:06,840 --> 00:36:08,640 Speaker 3: I said, Oh, we've got to do this to fight 689 00:36:08,680 --> 00:36:09,800 Speaker 3: Trump's cherry mandering. 690 00:36:10,080 --> 00:36:13,440 Speaker 1: So he's gonna make California completely blue. 691 00:36:13,600 --> 00:36:16,640 Speaker 2: Really interesting political calculation. Whether Trump coming to California and 692 00:36:16,719 --> 00:36:19,719 Speaker 2: campaigning on this would do more harm than good. Would 693 00:36:19,719 --> 00:36:22,719 Speaker 2: it rile up more Democrats than it riles up Republicans 694 00:36:22,719 --> 00:36:24,319 Speaker 2: to come out? I don't know if you miss a 695 00:36:24,320 --> 00:36:26,840 Speaker 2: segment of this show. Get the podcast Armstrong and Getty 696 00:36:26,920 --> 00:36:30,880 Speaker 2: on demand Armstrong and Getty