1 00:00:00,080 --> 00:00:03,840 Speaker 1: It's never been more important to diversify your financial portfolio. Well, 2 00:00:03,840 --> 00:00:06,880 Speaker 1: that's right. The S ANDP is down twenty percent from 3 00:00:06,880 --> 00:00:09,240 Speaker 1: the last year, and this year looks even worse. Gold 4 00:00:09,240 --> 00:00:12,560 Speaker 1: and Precious Metals offer a hedge against inflation and stock 5 00:00:12,640 --> 00:00:16,360 Speaker 1: market volatility, and Legacy Precious Metals is the company can 6 00:00:16,480 --> 00:00:19,200 Speaker 1: and I trust protect your retirement account by rolling it 7 00:00:19,200 --> 00:00:22,520 Speaker 1: into a goldback IRA or have medals shipped directly to 8 00:00:22,560 --> 00:00:25,680 Speaker 1: your door. Call our friends at Legacy Precious Medals today 9 00:00:26,040 --> 00:00:29,760 Speaker 1: at eight sixty six six nine twenty one seventy three 10 00:00:29,760 --> 00:00:33,839 Speaker 1: who are visited by legacygold dot com. Ken is away today. 11 00:00:34,680 --> 00:00:40,800 Speaker 1: We're gonna talk now to Dan Tibbots, the brother of 12 00:00:41,560 --> 00:00:46,599 Speaker 1: Kate Tibbots, who was raped and murdered last year. Her 13 00:00:46,680 --> 00:00:49,800 Speaker 1: dogs were killed and her house was burned down by 14 00:00:49,840 --> 00:00:55,080 Speaker 1: Troy Davis. Davis was a felon with a violent history, 15 00:00:55,560 --> 00:01:04,200 Speaker 1: and he had gotten out on bail and then went 16 00:01:04,240 --> 00:01:09,560 Speaker 1: after Kate Tibbots. I believe he's involved in stealing a 17 00:01:09,680 --> 00:01:14,280 Speaker 1: car I remember correctly. We're also going to talk with 18 00:01:14,319 --> 00:01:18,480 Speaker 1: Greg Taught in the California District Attorney's Association. Greg is 19 00:01:18,480 --> 00:01:21,280 Speaker 1: going to come on too, and it's about Senate Bill 20 00:01:21,319 --> 00:01:24,640 Speaker 1: two sixty two, which would bring back to zero bail 21 00:01:24,720 --> 00:01:29,479 Speaker 1: policy again. This is something that Bob Hertzberg, the state 22 00:01:29,520 --> 00:01:31,960 Speaker 1: Senator from Van Nuys, tried to push through last year 23 00:01:32,040 --> 00:01:35,200 Speaker 1: and then Kate tibbots got killed by a guy out 24 00:01:35,200 --> 00:01:38,800 Speaker 1: on no bail, and then we had a referendum and 25 00:01:38,880 --> 00:01:42,160 Speaker 1: the public said no to no bail. But he's bringing 26 00:01:42,160 --> 00:01:44,759 Speaker 1: it about. He's bringing it back again, and he's got 27 00:01:44,840 --> 00:01:48,000 Speaker 1: until tomorrow to get it through. That's the deadline for 28 00:01:48,040 --> 00:01:53,840 Speaker 1: this year's legislation. And it's just a never ending battle 29 00:01:54,000 --> 00:01:57,440 Speaker 1: with these I mean, Hertzberg's insane. Just this is flat 30 00:01:57,480 --> 00:02:00,320 Speaker 1: out insanity. There's no argument for this at all except 31 00:02:00,320 --> 00:02:06,040 Speaker 1: there's some politicians hell bent on releasing violent criminals that 32 00:02:06,080 --> 00:02:08,360 Speaker 1: are going to go out and literally kill people. All right, 33 00:02:08,440 --> 00:02:12,120 Speaker 1: let's get Dan on first. Dan Tibbotts, Welcome to Johnny 34 00:02:12,160 --> 00:02:15,160 Speaker 1: Ken Show. Thank you so much for having me on 35 00:02:15,200 --> 00:02:18,600 Speaker 1: the air. Yeah, thanks for coming. I just briefly went 36 00:02:18,600 --> 00:02:23,760 Speaker 1: over what happened to your sister, This guy that killed 37 00:02:23,800 --> 00:02:26,760 Speaker 1: your sister, what was the crime that he committed and 38 00:02:26,840 --> 00:02:33,200 Speaker 1: got no bail? He stole a car in it was 39 00:02:33,240 --> 00:02:36,680 Speaker 1: either May or June of last year and was arrested, 40 00:02:37,320 --> 00:02:42,799 Speaker 1: but because under Prop forty seven his crime was decriminalized, 41 00:02:43,160 --> 00:02:46,320 Speaker 1: he was released, and he was released on zerobell because 42 00:02:46,360 --> 00:02:54,320 Speaker 1: of the emergency Pandemic procedure policy for zero BELL. Zero 43 00:02:54,360 --> 00:03:00,000 Speaker 1: bill came from the COVID policy, the emergency provision for US. Yeah, 44 00:02:59,800 --> 00:03:02,480 Speaker 1: and it wasn't considered a serious crime because of Prop 45 00:03:02,560 --> 00:03:08,440 Speaker 1: forty seven prect and car theft. It was downgraded that much. 46 00:03:08,720 --> 00:03:11,920 Speaker 1: And how long after getting the zero bail break was 47 00:03:11,919 --> 00:03:16,160 Speaker 1: it before he committed the murder? Well, he stole the 48 00:03:16,200 --> 00:03:18,959 Speaker 1: car and I'm not sure if it was May or June, 49 00:03:19,000 --> 00:03:22,639 Speaker 1: but he had an arraignment in June which he failed 50 00:03:22,720 --> 00:03:26,919 Speaker 1: to appear for, and then three months later, on September third, 51 00:03:27,800 --> 00:03:32,320 Speaker 1: the murdered my sister. So it was about three months after, right, 52 00:03:32,440 --> 00:03:34,639 Speaker 1: And so he didn't put a bail, so there was 53 00:03:34,680 --> 00:03:38,680 Speaker 1: no incentive for him to show up at the hearing. Right, 54 00:03:39,320 --> 00:03:42,960 Speaker 1: That's a I'm not an advocate for the Bell industry, 55 00:03:43,040 --> 00:03:49,760 Speaker 1: but I recognize that the constitution guarantees BELL, and when 56 00:03:49,960 --> 00:03:54,840 Speaker 1: these people are released, it's the Bell agents and their 57 00:03:54,960 --> 00:03:58,880 Speaker 1: staff that are looking out for these that they've invested 58 00:03:58,920 --> 00:04:03,120 Speaker 1: funds in to assure they're going to not skip Town. 59 00:04:03,360 --> 00:04:08,920 Speaker 1: It's it's the Bell agents that are monitoring the behavior, 60 00:04:09,040 --> 00:04:12,400 Speaker 1: making sure these people behave themselves while out on Bell 61 00:04:12,520 --> 00:04:16,159 Speaker 1: and making sure they show up for their arraignment, for 62 00:04:16,200 --> 00:04:20,240 Speaker 1: their pre trial, for their trial. So they're the babysitters 63 00:04:20,279 --> 00:04:26,400 Speaker 1: of these people, and during the zero Bell emergency policy 64 00:04:26,880 --> 00:04:31,920 Speaker 1: there were no babysitters. And as as reported by Jeff Rice, 65 00:04:32,200 --> 00:04:36,480 Speaker 1: the District attorney for Yellow County, last week, he reported 66 00:04:36,480 --> 00:04:40,000 Speaker 1: that seventy percent of those released on zero Bell in 67 00:04:40,120 --> 00:04:47,000 Speaker 1: his county during the implementation of this policy, seventy percent 68 00:04:47,240 --> 00:04:52,320 Speaker 1: committed follow on crimes with m there was about six 69 00:04:52,440 --> 00:04:58,279 Speaker 1: hundred zero releases zero Bell releases, about between four and 70 00:04:58,360 --> 00:05:02,240 Speaker 1: five hundred follow one crimes while out on zero Bell 71 00:05:02,400 --> 00:05:09,400 Speaker 1: and approaching two hundred were violent murders, attempted murders, etc. Yeah, 72 00:05:09,440 --> 00:05:12,960 Speaker 1: I am Yollow County's a small county, maybe only two 73 00:05:13,080 --> 00:05:17,400 Speaker 1: hundred thousand people. But if that trend is extrapolates evinly 74 00:05:17,480 --> 00:05:20,200 Speaker 1: throughout the space, that's ten that's tens of thousands of 75 00:05:21,560 --> 00:05:25,599 Speaker 1: crimes committed by people on zero Bell and a couple 76 00:05:25,720 --> 00:05:32,280 Speaker 1: thousand of violent crimes murders, etc. Which we're compifying the 77 00:05:32,440 --> 00:05:36,360 Speaker 1: policy through this Senate bill to sixty two. Let's get 78 00:05:36,400 --> 00:05:42,120 Speaker 1: to Greg Tott, and he's with the California District Attorney's Association. Greg, 79 00:05:42,400 --> 00:05:45,800 Speaker 1: thanks for coming on again. What Dan Tibbitts just laid 80 00:05:45,839 --> 00:05:50,240 Speaker 1: out just using the Yolo County statistics, You've got thousands 81 00:05:50,279 --> 00:05:56,080 Speaker 1: of crimes potentially being committed by no bail criminals. And 82 00:05:56,240 --> 00:05:58,880 Speaker 1: yet Bob Hertzberg, who sponsors this bill, he's been on 83 00:05:58,960 --> 00:06:03,559 Speaker 1: our show insisting that there's very little crime that comes 84 00:06:03,640 --> 00:06:09,640 Speaker 1: from a no bail policy. Yeah. Unfortunately, nothing could be 85 00:06:09,720 --> 00:06:12,960 Speaker 1: further from the truth. Is I'm a career prosecutors in 86 00:06:13,080 --> 00:06:17,480 Speaker 1: five terms the DA in Ventura County, and I can 87 00:06:17,600 --> 00:06:24,080 Speaker 1: tell you the value of bail for purposes of keeping 88 00:06:24,240 --> 00:06:29,720 Speaker 1: people in custody when they have committed violent crimes is 89 00:06:30,400 --> 00:06:36,480 Speaker 1: incredibly important. This bill really is zero bailed by another name. 90 00:06:36,560 --> 00:06:41,119 Speaker 1: It's an incredibly deceptive bill that essentially drives the stake 91 00:06:41,279 --> 00:06:44,640 Speaker 1: through the heart of the bail industry, and by doing so, 92 00:06:45,560 --> 00:06:50,279 Speaker 1: really would implement zero bail policies and countless cases across 93 00:06:50,440 --> 00:06:54,120 Speaker 1: the state of California. And we know from experience, those 94 00:06:54,160 --> 00:06:58,719 Speaker 1: of us in law enforcement DA's crime victims know unfortunately 95 00:06:58,880 --> 00:07:02,200 Speaker 1: all too well that people who are out on zero 96 00:07:02,360 --> 00:07:09,000 Speaker 1: bail commit high numbers of violent crimes. Sadly, a murder 97 00:07:09,279 --> 00:07:12,960 Speaker 1: of Kate Tibots didn't need to have to happen if 98 00:07:13,040 --> 00:07:17,720 Speaker 1: this person had not been released on zero bail. And unfortunately, 99 00:07:17,960 --> 00:07:21,720 Speaker 1: if this measure gets through, there will be more carnage 100 00:07:21,760 --> 00:07:25,360 Speaker 1: in the streets as a result of this policy. You know, 101 00:07:25,440 --> 00:07:28,840 Speaker 1: the public, as you pointed out in your intro, the 102 00:07:28,920 --> 00:07:33,320 Speaker 1: public has already spoken very strongly on this. In proposition 103 00:07:33,480 --> 00:07:38,120 Speaker 1: twenty five nine million California voters voted to throw out 104 00:07:38,680 --> 00:07:43,480 Speaker 1: the previous proposal by Senator Hertzburg, SP. Ten And now we're, 105 00:07:43,720 --> 00:07:48,480 Speaker 1: for some reason, we're at it again, my hope, and 106 00:07:48,600 --> 00:07:54,080 Speaker 1: I must say I'm growing increasingly confident after the Governor 107 00:07:54,240 --> 00:07:57,720 Speaker 1: vetoed the safe Injection Bill, which would have only impacted 108 00:07:57,880 --> 00:08:02,440 Speaker 1: three counties. After he detO this, I have greater confidence 109 00:08:03,240 --> 00:08:06,720 Speaker 1: that if this bill gets through the legislature, Governor Newsom 110 00:08:07,080 --> 00:08:09,760 Speaker 1: is going to take a very hard look at it 111 00:08:10,520 --> 00:08:15,600 Speaker 1: and consider seriously both the policy and political ramifications of 112 00:08:15,720 --> 00:08:22,920 Speaker 1: this fundamentally flawed proposal. What is Hertzberg Hertzberg's angle here, 113 00:08:23,840 --> 00:08:27,840 Speaker 1: Why is he so committed to pushing no bail for 114 00:08:27,960 --> 00:08:32,800 Speaker 1: these criminals where it's proven. I don't I don't understand, 115 00:08:32,920 --> 00:08:39,280 Speaker 1: especially after what happened to Dan's sister. I'm like you, 116 00:08:39,480 --> 00:08:42,079 Speaker 1: I don't understand it either. You'd have to ask him 117 00:08:42,120 --> 00:08:45,240 Speaker 1: as to what his true intent is. I wouldn't want 118 00:08:45,280 --> 00:08:48,559 Speaker 1: to speak for him. But he comes on. He comes on, 119 00:08:48,679 --> 00:08:50,800 Speaker 1: and he lies to us and says, oh, no, all 120 00:08:50,840 --> 00:08:53,959 Speaker 1: the crime goes down. There's absolutely no indication. And Dan 121 00:08:54,520 --> 00:08:56,679 Speaker 1: laid out what's going on just in Yolo County. I 122 00:08:56,760 --> 00:09:01,520 Speaker 1: can't imagine what it's here in La County. Oh, it's awful. 123 00:09:01,559 --> 00:09:04,680 Speaker 1: And I mean another county looked at fifty one hundred 124 00:09:05,120 --> 00:09:09,240 Speaker 1: people that were released earlier early under zero bailed policies 125 00:09:09,280 --> 00:09:13,160 Speaker 1: and that jurisdiction and found the commission of forty four 126 00:09:13,320 --> 00:09:17,120 Speaker 1: hundred new crimes by those who had been released. Seventeen 127 00:09:17,240 --> 00:09:21,160 Speaker 1: hundred or fifty one hundred individuals had reoffended within just 128 00:09:21,360 --> 00:09:27,079 Speaker 1: six months of their release. We have bail policies, We 129 00:09:27,200 --> 00:09:32,160 Speaker 1: have public safety bail policies in the California Constitution because 130 00:09:32,280 --> 00:09:36,800 Speaker 1: we recognize that the vast majority of crime is committed 131 00:09:36,840 --> 00:09:42,160 Speaker 1: by a relatively small percentage of offenders, and if we 132 00:09:42,679 --> 00:09:46,719 Speaker 1: can incapacitate them during the pendency of their case, the 133 00:09:46,880 --> 00:09:50,600 Speaker 1: likelihood of increased crime, which we're all experiencing now. We're 134 00:09:50,600 --> 00:09:55,120 Speaker 1: seeing increases in homicide, increases in violent crime, increases in 135 00:09:55,240 --> 00:09:59,880 Speaker 1: property crime. All of those crimes would be favorably impacted 136 00:10:00,160 --> 00:10:06,360 Speaker 1: by strong bail policies this bill. Also, I have to 137 00:10:06,440 --> 00:10:10,280 Speaker 1: tell your listeners, this bill does a terrible disservice to 138 00:10:10,520 --> 00:10:15,000 Speaker 1: local government, local criminal justice systems, and even more importantly, 139 00:10:15,080 --> 00:10:20,400 Speaker 1: local taxpayers. Under this law, local taxpayers would be responsible 140 00:10:21,000 --> 00:10:24,120 Speaker 1: for paying all costs of the pre trial release of 141 00:10:24,280 --> 00:10:27,400 Speaker 1: any offenders. So if a person is monitored on an 142 00:10:27,400 --> 00:10:30,559 Speaker 1: ankle bracelet, if they're subject to drug testing, if they're 143 00:10:30,559 --> 00:10:35,240 Speaker 1: subject to alcohol testing, no longer would those even those 144 00:10:35,600 --> 00:10:38,720 Speaker 1: potentially wealthy offenders, be required to pay for it themselves. 145 00:10:38,800 --> 00:10:42,640 Speaker 1: This would be the sole responsibility of local taxpayers. So 146 00:10:42,800 --> 00:10:46,839 Speaker 1: it's bad for taxpayers, bad for public safety. But the 147 00:10:46,960 --> 00:10:49,640 Speaker 1: message we're trying to get out as loud and clear 148 00:10:49,720 --> 00:10:54,559 Speaker 1: as we can is call your legislators. You can go 149 00:10:54,720 --> 00:10:58,400 Speaker 1: on the Assembly website. It's up for a vote any 150 00:10:58,520 --> 00:11:02,880 Speaker 1: time today or tomorrow. Contact your legislators tell them to 151 00:11:03,000 --> 00:11:05,920 Speaker 1: vote no on this bill. You can also go on 152 00:11:06,120 --> 00:11:11,080 Speaker 1: to a website called Golden State Communities dot Com. There 153 00:11:11,200 --> 00:11:14,760 Speaker 1: you can see an ad that Dan Tibbots has filmed 154 00:11:14,920 --> 00:11:17,880 Speaker 1: about his case and why he's so strongly opposed to 155 00:11:17,960 --> 00:11:22,520 Speaker 1: this proposal, and you can sign up to have us 156 00:11:22,640 --> 00:11:25,760 Speaker 1: communicate to those members your wishes that the bill not 157 00:11:26,040 --> 00:11:30,160 Speaker 1: be approved. Thank you for coming on, Dan Tibbots, thank 158 00:11:30,200 --> 00:11:36,800 Speaker 1: you again, and Greg Totton as well. And we got 159 00:11:36,800 --> 00:11:40,560 Speaker 1: another day see if Hertzberg gets this through and then 160 00:11:40,960 --> 00:11:43,360 Speaker 1: see if Newson signs it. Beyond it John and Ken 161 00:11:43,440 --> 00:11:46,640 Speaker 1: show Cafe. So you should be calling Bob Hertzberg's office 162 00:11:46,720 --> 00:11:50,800 Speaker 1: up and call every single legislator up, whoever's in your district. 163 00:11:50,840 --> 00:11:53,160 Speaker 1: You can find it easily online and only takes a minute, 164 00:11:53,160 --> 00:11:56,880 Speaker 1: and just have them vote against this bill, this no 165 00:11:57,080 --> 00:11:59,880 Speaker 1: bay bill, no bail bill. Because you heard the statistics 166 00:12:00,040 --> 00:12:03,480 Speaker 1: in Yolo County, seventy percent of the nobeil of felons 167 00:12:03,760 --> 00:12:07,040 Speaker 1: went right back out and committed crimes shortly after being 168 00:12:07,160 --> 00:12:10,040 Speaker 1: led out. And that's we all know. That's what happens 169 00:12:10,080 --> 00:12:12,160 Speaker 1: in the real world. And one of the most important 170 00:12:12,200 --> 00:12:16,840 Speaker 1: things that the Deputy DA Greg Totton said is that, look, 171 00:12:16,920 --> 00:12:19,079 Speaker 1: we know a small number of people commit most of 172 00:12:19,120 --> 00:12:22,040 Speaker 1: the crimes, which is true. And I think there was 173 00:12:22,040 --> 00:12:26,040 Speaker 1: an FBI statistic years ago that that six percent of 174 00:12:26,240 --> 00:12:29,319 Speaker 1: the criminals commits seventy percent of the crimes. And all 175 00:12:29,360 --> 00:12:31,560 Speaker 1: you have to do is keep those guys locked up, 176 00:12:32,559 --> 00:12:36,920 Speaker 1: and they won't do that anymore. Just keep the ones 177 00:12:37,440 --> 00:12:41,679 Speaker 1: the recidivists is their fancy word, who compulsively commit crimes 178 00:12:41,720 --> 00:12:47,679 Speaker 1: every day. Just put them away now onto. Under the economy, 179 00:12:47,720 --> 00:12:50,960 Speaker 1: people are doing weird things trying to deal with inflation. 180 00:12:51,559 --> 00:12:54,439 Speaker 1: And this cracked me up. And Deborah, I'm sure you'll 181 00:12:54,559 --> 00:13:00,439 Speaker 1: identify with this family here. H Logan Wagner's attorney in 182 00:13:00,440 --> 00:13:04,000 Speaker 1: Saint Louis, and his family are spending two hundred dollars 183 00:13:04,040 --> 00:13:07,120 Speaker 1: a week on grocery bills. He's got three young kids 184 00:13:08,440 --> 00:13:12,880 Speaker 1: and the family eats a lot of meat. So the Midwest, right, 185 00:13:14,040 --> 00:13:18,559 Speaker 1: So he got so sick of the bills that he 186 00:13:18,679 --> 00:13:21,800 Speaker 1: decided he was going to buy in bulk. He bought 187 00:13:21,960 --> 00:13:27,920 Speaker 1: half a cow and an entire pig. He bought half 188 00:13:28,120 --> 00:13:30,120 Speaker 1: a cow. I didn't, I guess you can do this 189 00:13:30,240 --> 00:13:36,839 Speaker 1: in Missouri. Half a cow, okay. And he bought a 190 00:13:36,880 --> 00:13:41,959 Speaker 1: freezer that now holds Get this, you would love this. 191 00:13:42,880 --> 00:13:50,000 Speaker 1: Three and twenty pounds of bacon, sausages, ribi steaks, ground beef, 192 00:13:50,559 --> 00:13:55,559 Speaker 1: and soup bones. Ooh, gotta have those soup bones. Soup bones, 193 00:13:56,920 --> 00:13:59,280 Speaker 1: Wagner says, my kids eat a lot of hot dogs, 194 00:13:59,800 --> 00:14:02,920 Speaker 1: and the price has got to be too much. So 195 00:14:03,320 --> 00:14:05,599 Speaker 1: we said, this is wild. What can we do? He 196 00:14:05,679 --> 00:14:08,280 Speaker 1: and his wife spend two thousand dollars, including seven hundred 197 00:14:08,320 --> 00:14:10,520 Speaker 1: bucks on a freezer and now have enough meat to 198 00:14:10,679 --> 00:14:14,240 Speaker 1: last a year, and their weekly grocery bill has fallen 199 00:14:14,280 --> 00:14:18,760 Speaker 1: about one hundred and twenty five dollars because the meat 200 00:14:18,800 --> 00:14:24,880 Speaker 1: prices have surged seventeen percent in the last year, and 201 00:14:25,040 --> 00:14:27,480 Speaker 1: most of the country seventy. I just can't imagine you 202 00:14:27,600 --> 00:14:30,320 Speaker 1: having a meat freezer. You're right, I would never have 203 00:14:30,440 --> 00:14:32,840 Speaker 1: a meat half a cow. How would you take half 204 00:14:32,880 --> 00:14:36,240 Speaker 1: a cow home? Yeah, I'll just throw it on to 205 00:14:36,520 --> 00:14:40,120 Speaker 1: the hood of my car. I have friends that they 206 00:14:40,200 --> 00:14:42,280 Speaker 1: get like a few families together, and they have a 207 00:14:42,360 --> 00:14:45,200 Speaker 1: kosher butcher in Kansas City, I believe, and they buy 208 00:14:45,280 --> 00:14:47,280 Speaker 1: like half a cow and they split it between the 209 00:14:47,320 --> 00:14:49,120 Speaker 1: family and they freeze it. So this half a cow 210 00:14:49,240 --> 00:14:51,880 Speaker 1: thing is a real yeah, a real deal. Oh yeah, 211 00:14:52,160 --> 00:14:55,920 Speaker 1: half a cow's not unusual. No, I sent out a 212 00:14:55,960 --> 00:14:59,840 Speaker 1: baseball tournament in Omaha a few years ago, and all 213 00:15:00,160 --> 00:15:02,920 Speaker 1: dads went out to a steakhouse there and they had 214 00:15:02,960 --> 00:15:06,440 Speaker 1: a huge cow on display. It was an artwork. It 215 00:15:06,560 --> 00:15:09,880 Speaker 1: was like a yeah, right in the middle of the restaurant. 216 00:15:10,080 --> 00:15:12,200 Speaker 1: Everybody took pictures in front of the big cow. They 217 00:15:12,400 --> 00:15:16,360 Speaker 1: worship the cow. Was it like Nebraska? Was it separated 218 00:15:16,440 --> 00:15:18,280 Speaker 1: by the different cuts and it showed you where each 219 00:15:18,320 --> 00:15:23,280 Speaker 1: cut was? No? No, it was it was the whole cow. 220 00:15:23,440 --> 00:15:26,040 Speaker 1: Is the Cowdy's glory days. So John, are you going 221 00:15:26,120 --> 00:15:28,680 Speaker 1: to invest in a half a cow you can put 222 00:15:29,040 --> 00:15:31,680 Speaker 1: in your meat freezer? I didn't know you could do that. Well, 223 00:15:31,720 --> 00:15:35,120 Speaker 1: now you do. I uh, I can put you in 224 00:15:35,200 --> 00:15:37,520 Speaker 1: touch with my friends. That's it's kosher meat. It's very good, 225 00:15:39,040 --> 00:15:43,880 Speaker 1: a kosher cow. Um I had I'd never considered that. 226 00:15:44,160 --> 00:15:46,600 Speaker 1: I mean, I thought you would need some gigantic meat locker. 227 00:15:46,680 --> 00:15:48,600 Speaker 1: But I guess if you slice it up into steaks 228 00:15:48,680 --> 00:15:55,280 Speaker 1: and freeze, God, that's a lot. Freezing is not great. 229 00:15:55,480 --> 00:15:57,920 Speaker 1: I can always tell a frozen burger. Would you eat? 230 00:15:58,040 --> 00:16:00,640 Speaker 1: Would you eat a frozen burger after it's been sitting 231 00:16:00,640 --> 00:16:05,280 Speaker 1: in your freezer for a year? A year? No? But 232 00:16:05,760 --> 00:16:07,320 Speaker 1: you know, I don't. I don't know how to do. 233 00:16:07,360 --> 00:16:09,560 Speaker 1: I'm sure there's a way you could do that, probably 234 00:16:09,720 --> 00:16:13,120 Speaker 1: because you know it gets it. It changes the flavor 235 00:16:13,280 --> 00:16:15,160 Speaker 1: of the burger. I can imagine. I mean, I can 236 00:16:15,240 --> 00:16:17,800 Speaker 1: tell in a second. If I go to a restaurant 237 00:16:17,840 --> 00:16:19,600 Speaker 1: and they use frozen meat for the burgers, I know 238 00:16:19,760 --> 00:16:23,640 Speaker 1: right away it's frozen. Of course you do, because that's 239 00:16:23,640 --> 00:16:26,160 Speaker 1: all you eat. Because yeah, it's right. So I know 240 00:16:26,240 --> 00:16:34,760 Speaker 1: all the numances. Um. They interviewed um somebody at Wilson 241 00:16:34,840 --> 00:16:39,560 Speaker 1: Dowell Farms in Maryland who says that half the demand 242 00:16:39,680 --> 00:16:43,280 Speaker 1: for half cows and whole cows has been so brisk 243 00:16:44,080 --> 00:16:46,840 Speaker 1: in the Washington DC suburbs that the owner is sold 244 00:16:46,880 --> 00:16:53,200 Speaker 1: out for the year, and and the prices are rising. 245 00:16:53,320 --> 00:16:55,760 Speaker 1: So as the fast as the prices go up, people 246 00:16:56,000 --> 00:16:59,800 Speaker 1: just want to stockpile more and more beef. You could 247 00:17:00,200 --> 00:17:03,600 Speaker 1: a quarter cow for ten dollars a pound. It's nine 248 00:17:03,640 --> 00:17:06,080 Speaker 1: to fifty a pound for half a cow, and nine 249 00:17:06,160 --> 00:17:12,360 Speaker 1: dollars for a whole cow. Now the freezer cost seven 250 00:17:12,480 --> 00:17:14,639 Speaker 1: hundred dollars, and that takes a lot of space and 251 00:17:14,840 --> 00:17:20,320 Speaker 1: costs a lot of electricity. Buying years worth of beef 252 00:17:21,520 --> 00:17:24,520 Speaker 1: or any kind of meat involves hundreds, if not thousands 253 00:17:24,560 --> 00:17:29,240 Speaker 1: of dollars, because so you know, this doesn't always work. 254 00:17:29,320 --> 00:17:31,040 Speaker 1: Instead of just going to the store and buying at 255 00:17:31,119 --> 00:17:33,680 Speaker 1: one stake at a time or one burger one you 256 00:17:33,760 --> 00:17:39,920 Speaker 1: know package of burgers that expensive, Yes, but they remain vegetables. 257 00:17:39,960 --> 00:17:42,320 Speaker 1: But you know they don't taste as good. Maybe people 258 00:17:42,400 --> 00:17:45,760 Speaker 1: need to rethink the diets and incorporate more veggies and 259 00:17:45,840 --> 00:17:48,200 Speaker 1: you'll save a lot of money. Look, they have done 260 00:17:48,240 --> 00:17:52,640 Speaker 1: so many experiments with their veggie burgers. I'm not saying 261 00:17:52,720 --> 00:17:55,399 Speaker 1: veggie burgers. I'm just saying vegetables. If you could, if 262 00:17:55,440 --> 00:18:01,000 Speaker 1: you could make the taste like meat, you might have something. 263 00:18:01,080 --> 00:18:03,920 Speaker 1: But all these fake veggie burgers, they don't taste like meat. 264 00:18:03,960 --> 00:18:06,040 Speaker 1: They taste like ground vegetable. But I'm not even saying 265 00:18:06,080 --> 00:18:08,480 Speaker 1: to have the fake meat. I'm saying skip the meat 266 00:18:08,520 --> 00:18:11,760 Speaker 1: and just eat more vegetables and pasta. Pasta is cheap 267 00:18:12,880 --> 00:18:14,560 Speaker 1: and you'll save a lot of money. Pasta makes you 268 00:18:14,640 --> 00:18:19,280 Speaker 1: fat and beef doesn't. No, I get I gained weight 269 00:18:19,359 --> 00:18:24,520 Speaker 1: munch quicker on pasta, I do. I guess I can 270 00:18:24,640 --> 00:18:28,240 Speaker 1: understand that. Yeah, because it turns to sugar. Eat a 271 00:18:28,280 --> 00:18:29,960 Speaker 1: lot of bread, and when I eat a lot of bread. 272 00:18:30,280 --> 00:18:32,159 Speaker 1: Remember the old Atkins diet, which now I think they 273 00:18:32,200 --> 00:18:34,520 Speaker 1: call the Keto diet, that's all meat. Like, I have 274 00:18:34,560 --> 00:18:36,840 Speaker 1: a friend he's lost a fair amount of weight just 275 00:18:36,960 --> 00:18:39,919 Speaker 1: in the last few weeks. He went all all keto. Yea, 276 00:18:41,000 --> 00:18:45,320 Speaker 1: so it does work. It's a little controversial though. Why 277 00:18:46,160 --> 00:18:48,720 Speaker 1: just because you do need you need, you need carbs, 278 00:18:49,359 --> 00:18:52,280 Speaker 1: your body doesn't need yeah, you do, not that much 279 00:18:52,359 --> 00:18:59,560 Speaker 1: thought veggies. You don't need veggies. Johnny ken Chok, this 280 00:18:59,720 --> 00:19:03,080 Speaker 1: is pretty frightening story that has come across the LA 281 00:19:03,200 --> 00:19:07,520 Speaker 1: Times this afternoon, actually just about a half an hour ago, 282 00:19:07,720 --> 00:19:11,480 Speaker 1: about the woman, the nurse who crashed her car and 283 00:19:11,640 --> 00:19:15,359 Speaker 1: killed five people a few weeks ago. You remember that story. 284 00:19:15,400 --> 00:19:19,680 Speaker 1: She's facing murder charges. Woman's name is Nicole Linton. And 285 00:19:20,359 --> 00:19:23,720 Speaker 1: if you don't remember, she slammed her Mercedes bends into 286 00:19:23,800 --> 00:19:28,560 Speaker 1: traffic and windsor hills and everyone is wondering why she 287 00:19:30,040 --> 00:19:32,920 Speaker 1: blasted through a red light that had been read for 288 00:19:33,160 --> 00:19:38,399 Speaker 1: nine seconds and slammed into passing traffic, killed five, including 289 00:19:38,440 --> 00:19:42,479 Speaker 1: a pregnant woman in a baby And she had been 290 00:19:42,520 --> 00:19:46,520 Speaker 1: a traveling nurse, so things weren't adding up. Why would 291 00:19:46,520 --> 00:19:49,280 Speaker 1: a woman who has the sensitivity to be a nurse 292 00:19:49,760 --> 00:19:52,640 Speaker 1: be driving that fast through red lights at one thirty 293 00:19:52,680 --> 00:19:58,520 Speaker 1: in the afternoon, and and and caused so much death. Well, 294 00:19:59,240 --> 00:20:03,760 Speaker 1: they've they've unraveled the mystery. Her defense attorneys, and I 295 00:20:03,800 --> 00:20:06,520 Speaker 1: suppose this is going to be some version of the defense, 296 00:20:07,040 --> 00:20:09,960 Speaker 1: but I have no doubt that it's true. I don't 297 00:20:10,000 --> 00:20:11,880 Speaker 1: think something like this should keep you out of prison 298 00:20:11,960 --> 00:20:15,120 Speaker 1: after you killed five people. But she has been battling 299 00:20:15,359 --> 00:20:21,760 Speaker 1: bipolar disorder for four years, and they think she had 300 00:20:21,800 --> 00:20:24,560 Speaker 1: a lapse of consciousness at the time of the crash. 301 00:20:25,680 --> 00:20:28,200 Speaker 1: She was going ninety miles an hour when she went 302 00:20:28,240 --> 00:20:30,960 Speaker 1: through the red light, ninety miles an hour. Charge with 303 00:20:31,000 --> 00:20:36,200 Speaker 1: six counts of murder, and she's being held without bail. 304 00:20:38,880 --> 00:20:42,679 Speaker 1: She has no recollection according to her attorneys. Next thing 305 00:20:42,800 --> 00:20:45,040 Speaker 1: she recalled was lying on the pavement and seeing her 306 00:20:45,119 --> 00:20:49,240 Speaker 1: car was on fire. She's got bipolar disorder, and I 307 00:20:49,400 --> 00:20:51,679 Speaker 1: suppose they have all the medical records to back this up. 308 00:20:53,800 --> 00:20:56,679 Speaker 1: Issues started in maya, twenty eighteen. She was a nursing 309 00:20:56,760 --> 00:21:01,399 Speaker 1: student at the University of Texas and he and she 310 00:21:01,640 --> 00:21:04,840 Speaker 1: was studying to be a nurse anesthetist, and she had 311 00:21:04,880 --> 00:21:08,040 Speaker 1: a mental health breakground, a breakdown. Stress was too much. 312 00:21:09,880 --> 00:21:11,840 Speaker 1: At one point, she ran out of her apartment and 313 00:21:11,920 --> 00:21:14,560 Speaker 1: when police approached her, she jumped on top of the 314 00:21:14,640 --> 00:21:18,320 Speaker 1: police car. This is four years ago, and got arrested. 315 00:21:19,080 --> 00:21:21,960 Speaker 1: And she called her family from the police station and 316 00:21:22,160 --> 00:21:24,800 Speaker 1: the only thing she was worried about was her pet turtle. 317 00:21:26,880 --> 00:21:30,800 Speaker 1: Next day, she's at a psychiatric hospital. She was claiming 318 00:21:30,920 --> 00:21:34,800 Speaker 1: that she was possessed by her dead grandmother. Then she 319 00:21:34,960 --> 00:21:39,600 Speaker 1: banged her head into a glass partition and needed stitches. 320 00:21:39,680 --> 00:21:42,080 Speaker 1: She'd been ranting about the police in the Supreme Court, 321 00:21:43,440 --> 00:21:46,240 Speaker 1: and as the medical staff gave her the stitches, she 322 00:21:46,720 --> 00:21:51,440 Speaker 1: started singing Bob Marley songs. So they diagnosed her with 323 00:21:51,560 --> 00:21:55,560 Speaker 1: bike polar gave her psychiatric medication. A year later, she's 324 00:21:55,680 --> 00:21:58,640 Speaker 1: involuntarily committed to a psych ward. Do you know how 325 00:21:58,720 --> 00:22:00,480 Speaker 1: bad you have to be to get committed to a 326 00:22:00,520 --> 00:22:03,000 Speaker 1: psych ward? They just wouldn't do that. You have to 327 00:22:03,080 --> 00:22:08,040 Speaker 1: be an imminent threat to yourself for somebody else. The 328 00:22:08,200 --> 00:22:12,600 Speaker 1: reason she was committed. A neighbor called and had seen 329 00:22:12,680 --> 00:22:17,560 Speaker 1: Linton running around her apartment complex naked, naked, nake. I 330 00:22:17,680 --> 00:22:19,920 Speaker 1: knew you were going to say that that's been running 331 00:22:19,920 --> 00:22:25,480 Speaker 1: around my head all day that you didn't hear. That's 332 00:22:25,480 --> 00:22:27,960 Speaker 1: her demor used to tell her kids, my little kids 333 00:22:28,320 --> 00:22:32,080 Speaker 1: toddlers that ran around naked. Right, Uh, this was a 334 00:22:32,160 --> 00:22:36,080 Speaker 1: grown woman running around naki nake. And it got worse 335 00:22:36,160 --> 00:22:39,879 Speaker 1: because she stopped taking her medication. Then she got a 336 00:22:40,080 --> 00:22:44,200 Speaker 1: bad online therapist who told her she was only suffering anxiety. 337 00:22:45,880 --> 00:22:49,280 Speaker 1: She was acting strangely, She's not sleeping, she's obsessed with cleaning. 338 00:22:50,000 --> 00:22:54,040 Speaker 1: She was accusing family members of stealing from her, and 339 00:22:54,480 --> 00:22:57,439 Speaker 1: and this is in the days leading up to the crash. 340 00:22:58,160 --> 00:23:03,000 Speaker 1: Nicole's behavior became increasingly frightening. But there is nothing This 341 00:23:03,200 --> 00:23:04,960 Speaker 1: is ken and I. We talk about this all the 342 00:23:05,080 --> 00:23:08,359 Speaker 1: time with all the mental patients in the streets. There's 343 00:23:08,400 --> 00:23:11,200 Speaker 1: no law that effectively gets these people off the street 344 00:23:11,400 --> 00:23:14,639 Speaker 1: and keeps them in treatment. You know, at most, if 345 00:23:14,680 --> 00:23:16,679 Speaker 1: you're an imminent danger, you can go on a seventy 346 00:23:16,720 --> 00:23:19,440 Speaker 1: two hour hold, but then you're let out again. And 347 00:23:19,600 --> 00:23:22,240 Speaker 1: because these people are crazy, they don't take their medication 348 00:23:22,280 --> 00:23:25,199 Speaker 1: because often they don't think they're crazy. In fact, one 349 00:23:25,200 --> 00:23:28,760 Speaker 1: of the hallmarks of bipolar disorder is they don't think 350 00:23:28,760 --> 00:23:33,919 Speaker 1: there's anything wrong with him. The day of the crash, 351 00:23:34,640 --> 00:23:37,000 Speaker 1: she had driven home from the hospital where she worked 352 00:23:37,040 --> 00:23:39,879 Speaker 1: for lunch, then FaceTime to her sister and she was 353 00:23:39,920 --> 00:23:44,120 Speaker 1: completely naked again. Then she went back to work, called 354 00:23:44,160 --> 00:23:47,159 Speaker 1: her sister again saying she's leaving, And that was just 355 00:23:47,320 --> 00:23:50,720 Speaker 1: minutes before the crash. She was flying out to meet 356 00:23:50,720 --> 00:23:53,440 Speaker 1: her sister in Houston so she could do her niece's hair. 357 00:23:54,760 --> 00:23:58,320 Speaker 1: She also claims she'd be getting married and her sisters 358 00:23:58,320 --> 00:24:00,480 Speaker 1: should meet her at the altar. So she was full 359 00:24:00,600 --> 00:24:07,240 Speaker 1: delusional mode here and that's when she jumped in the car, 360 00:24:07,400 --> 00:24:09,840 Speaker 1: went ninety miles an hour, blew through the red light, 361 00:24:09,960 --> 00:24:17,200 Speaker 1: and killed the five people. Now, even after her lawyer 362 00:24:17,280 --> 00:24:20,320 Speaker 1: is going through all those stories about her mental health issues, 363 00:24:20,720 --> 00:24:23,919 Speaker 1: they are still arguing there's no reason to keep her 364 00:24:24,040 --> 00:24:33,959 Speaker 1: locked up and she ought to be released, although released 365 00:24:34,000 --> 00:24:37,000 Speaker 1: from jail, that they should be easy. She would be 366 00:24:37,080 --> 00:24:46,359 Speaker 1: taken to a mental health treatment facility. So I mean, 367 00:24:46,400 --> 00:24:49,239 Speaker 1: I mean, actually, gascone has been holding strong on this one, 368 00:24:49,520 --> 00:24:52,120 Speaker 1: surprisingly because I think because we have we have dead 369 00:24:52,200 --> 00:24:55,040 Speaker 1: children involved. All I got more coming up, John and 370 00:24:55,119 --> 00:24:58,080 Speaker 1: Ken show calf This is our second and final animal 371 00:24:58,160 --> 00:25:02,560 Speaker 1: story of the day. Who last one we had was 372 00:25:02,720 --> 00:25:07,760 Speaker 1: the man who had the emotional support alligator. This don't 373 00:25:07,760 --> 00:25:12,320 Speaker 1: forget the meat locker. I guess technically, yeah, that's an 374 00:25:12,320 --> 00:25:16,600 Speaker 1: animal story, right, people buying half cows and whole cows. 375 00:25:18,800 --> 00:25:21,960 Speaker 1: This may be the stupidest thing anybody has ever done. 376 00:25:23,760 --> 00:25:27,840 Speaker 1: There was a man, a middle aged man in Ghana 377 00:25:29,680 --> 00:25:33,720 Speaker 1: who went to the Acre Zoo and he climbed a 378 00:25:33,800 --> 00:25:38,520 Speaker 1: fence and he tried to steal a white lion cub 379 00:25:39,880 --> 00:25:44,440 Speaker 1: in front of the mother. He scaled a twenty foot 380 00:25:45,040 --> 00:25:49,360 Speaker 1: a twenty foot tall mesh fence and got into the enclosure. 381 00:25:50,800 --> 00:25:55,359 Speaker 1: There was a lion, a lions and two cubs. And 382 00:25:55,960 --> 00:26:04,240 Speaker 1: those those white cubs are really rare, invaluable. Poachers like 383 00:26:04,440 --> 00:26:10,239 Speaker 1: them because of their unusual light coloring. The cubs were 384 00:26:10,280 --> 00:26:12,080 Speaker 1: just born at the zoo in November and they've been 385 00:26:12,119 --> 00:26:16,080 Speaker 1: growing large crowds of spectators. Now, what do you think, 386 00:26:17,480 --> 00:26:20,280 Speaker 1: What do you think happens when you steal a little 387 00:26:20,440 --> 00:26:23,680 Speaker 1: lion cub in front of mom? That can't be good. 388 00:26:24,119 --> 00:26:33,160 Speaker 1: I would say, you get attacked. Oh yeah, if you're lucky, yeah, survive. 389 00:26:33,840 --> 00:26:37,359 Speaker 1: No he did not. It was a pretty serious bawling. 390 00:26:38,840 --> 00:26:41,200 Speaker 1: One of the big cats, presumably the mom, pounced on 391 00:26:41,280 --> 00:26:52,320 Speaker 1: the intruder, killing him. How stupid do you have to be? 392 00:26:52,600 --> 00:26:54,440 Speaker 1: Don't tell me now they're going to kill the mom 393 00:26:54,880 --> 00:26:59,080 Speaker 1: because she was protecting her baby. No, I don't think so. 394 00:26:59,240 --> 00:27:02,240 Speaker 1: There's only a in white lions that exist in the wild. 395 00:27:03,240 --> 00:27:07,360 Speaker 1: There's very few left because the stupid poachers kill them all. 396 00:27:08,200 --> 00:27:11,639 Speaker 1: Oh I hate poaching. I hate poachers too. I poachers 397 00:27:11,720 --> 00:27:16,520 Speaker 1: make me crazy. We need to poach poachers. Oh yeah, absolutely. 398 00:27:16,600 --> 00:27:23,320 Speaker 1: I mean I could watch poacher executions. Have poachers poaching poachers. 399 00:27:26,560 --> 00:27:28,639 Speaker 1: It's your idea of a big game show. Huh, No, 400 00:27:28,760 --> 00:27:30,639 Speaker 1: I'd watch it. I think I think those guys should 401 00:27:30,640 --> 00:27:33,720 Speaker 1: be should be tortured and then slaughtered. It's like the 402 00:27:33,800 --> 00:27:39,399 Speaker 1: elephant poachers. Yeah, my wife and I've been connected to 403 00:27:39,520 --> 00:27:43,080 Speaker 1: an organization that tries to fight elephant poaching. Really and 404 00:27:43,200 --> 00:27:45,080 Speaker 1: so the stuff I've learned, well, what they do is 405 00:27:45,160 --> 00:27:47,800 Speaker 1: they go when they they they kill the elephant, they 406 00:27:47,840 --> 00:27:50,760 Speaker 1: slice off their faces in order to get the tusks. 407 00:27:51,240 --> 00:27:54,040 Speaker 1: And you know what they do with the tusks, They 408 00:27:54,119 --> 00:27:58,480 Speaker 1: sell them to these dealers in China because in China 409 00:27:59,000 --> 00:28:01,640 Speaker 1: a lot of the men think that the ground up 410 00:28:01,800 --> 00:28:05,479 Speaker 1: tusk dust, you know, the ivory dust, will give them 411 00:28:05,520 --> 00:28:12,480 Speaker 1: better erections. I'm not making this up. I could say 412 00:28:12,520 --> 00:28:14,000 Speaker 1: a lot, but I need I need to hold my 413 00:28:14,119 --> 00:28:18,000 Speaker 1: tongue here. I don't want to get myself in trouble. 414 00:28:18,800 --> 00:28:21,800 Speaker 1: What could you say? I could say a lot. And 415 00:28:22,000 --> 00:28:25,240 Speaker 1: they also do it for ivory. I mean, come on, yeah, yeah, 416 00:28:25,320 --> 00:28:28,320 Speaker 1: somehow i've the elephants alone. I don't know. Do they 417 00:28:28,400 --> 00:28:30,760 Speaker 1: snort the ivory dust? I don't know, but they put 418 00:28:30,840 --> 00:28:33,440 Speaker 1: him in these mixtures, and then you're supposed to get 419 00:28:33,560 --> 00:28:36,600 Speaker 1: to have a much can't you figure out another way 420 00:28:36,680 --> 00:28:39,840 Speaker 1: to have one of those much better weapon? I don't 421 00:28:39,840 --> 00:28:42,920 Speaker 1: know why. I mean, they're not hard to get just 422 00:28:43,160 --> 00:28:47,680 Speaker 1: on your own every day. You don't really need the 423 00:28:47,840 --> 00:28:51,560 Speaker 1: elephant tusk to get it going. But you know, everybody's 424 00:28:51,600 --> 00:28:55,200 Speaker 1: looking for a little more and a little more. So anyway, 425 00:28:55,240 --> 00:28:58,480 Speaker 1: they they removed his body from the lines enclosure what 426 00:28:58,640 --> 00:29:01,200 Speaker 1: was left of it, and then they transported to a 427 00:29:01,280 --> 00:29:05,800 Speaker 1: local morgue for an autopsy. Now is there really a 428 00:29:05,880 --> 00:29:10,760 Speaker 1: mystery about the cause of death here? But they just 429 00:29:11,440 --> 00:29:13,320 Speaker 1: they had a twenty foot mesh fence and they thought 430 00:29:13,360 --> 00:29:15,840 Speaker 1: that would be enough. I guess they never thought anybody 431 00:29:15,880 --> 00:29:18,600 Speaker 1: would actually because that's really to keep the lines inside. 432 00:29:19,400 --> 00:29:22,240 Speaker 1: There doesn't you'd think there's no reason to build a 433 00:29:22,280 --> 00:29:24,400 Speaker 1: fence to keep people out, because why would you do this, 434 00:29:24,600 --> 00:29:29,560 Speaker 1: because sane people don't go in. You're I mean, I mean, 435 00:29:29,720 --> 00:29:33,920 Speaker 1: so anyway, I just surprised. I'm not surprised, but it's 436 00:29:34,000 --> 00:29:35,800 Speaker 1: kind of sad that there's only twelve of them left. 437 00:29:35,840 --> 00:29:38,800 Speaker 1: And all I remember when we went on Safari, we're 438 00:29:38,880 --> 00:29:41,360 Speaker 1: trying to find, ah, what was it, a white rhino. 439 00:29:41,440 --> 00:29:44,480 Speaker 1: There's only twenty four of them left, and we saw 440 00:29:44,560 --> 00:29:46,800 Speaker 1: a lot of animals, but but the white rhino was 441 00:29:46,840 --> 00:29:50,440 Speaker 1: the one thing that was considered the rarest find of all. 442 00:29:51,880 --> 00:29:54,120 Speaker 1: And I remember one of my sons was really young 443 00:29:54,240 --> 00:29:56,360 Speaker 1: and he was sick of the whole trip, so he 444 00:29:56,480 --> 00:29:58,160 Speaker 1: was trying to find ways to get us to go home. 445 00:29:59,280 --> 00:30:02,680 Speaker 1: So while we we're in the Safari van chugging along there, 446 00:30:02,960 --> 00:30:06,680 Speaker 1: he kept blurting out, there's the white rhino. Did you 447 00:30:06,760 --> 00:30:08,920 Speaker 1: ever see No, we never saw it. He would just 448 00:30:09,040 --> 00:30:11,000 Speaker 1: made it up, hoping we would say, oh, yeah, there 449 00:30:11,040 --> 00:30:13,520 Speaker 1: it is, let's go home now. He said he thought 450 00:30:13,560 --> 00:30:15,480 Speaker 1: we were hanging around an extra week just to look 451 00:30:15,520 --> 00:30:17,800 Speaker 1: for the white rhino. So he tried to put an 452 00:30:17,840 --> 00:30:23,120 Speaker 1: end to that. Here's some encouraging news. More than forty 453 00:30:23,200 --> 00:30:26,120 Speaker 1: percent of Americans think a civil war is at least 454 00:30:26,240 --> 00:30:30,080 Speaker 1: somewhat likely in the next ten years. In fact, more 455 00:30:30,120 --> 00:30:34,720 Speaker 1: than half of people who identify themselves as strong Republicans. 456 00:30:36,800 --> 00:30:41,120 Speaker 1: This is uh. There's similar results in other polls. This 457 00:30:41,360 --> 00:30:44,720 Speaker 1: is research done by you gov and the economists. Do 458 00:30:44,800 --> 00:30:46,440 Speaker 1: we still have that Lindsay Graham clip. I think we 459 00:30:46,520 --> 00:30:49,360 Speaker 1: picked it up yesterdays. That's still around because Lindsey Graham 460 00:30:49,360 --> 00:30:51,560 Speaker 1: went on television over the weekend. He's the South Carolina 461 00:30:51,680 --> 00:30:56,040 Speaker 1: senator and and said the same thing that we might 462 00:30:56,160 --> 00:31:00,880 Speaker 1: have Yeah, be a play this and if they try 463 00:31:00,920 --> 00:31:04,160 Speaker 1: to prosecute President Trump from misshandling class out classified and 464 00:31:04,200 --> 00:31:07,680 Speaker 1: information after Hillary Clinton set up a server in her basement, 465 00:31:08,080 --> 00:31:10,640 Speaker 1: they literally will be riots in the street. I worry 466 00:31:10,640 --> 00:31:14,880 Speaker 1: about our country. This is great. You got a senator 467 00:31:15,000 --> 00:31:17,920 Speaker 1: going on TV saying, hey, you know they indict him, 468 00:31:18,440 --> 00:31:25,680 Speaker 1: there could be a riot. Don't say it didn't mourn you. Yikes, No, 469 00:31:26,480 --> 00:31:30,320 Speaker 1: so he uh, And then everybody in Washington started shouting 470 00:31:30,360 --> 00:31:31,920 Speaker 1: at him, and they should You're not supposed to say 471 00:31:31,960 --> 00:31:36,240 Speaker 1: that out loud, but they're they're worried about this that 472 00:31:36,320 --> 00:31:38,520 Speaker 1: if he gets indicted. And I think Trump is worried too, because, 473 00:31:38,640 --> 00:31:42,200 Speaker 1: like I said, before he put out sixty I was 474 00:31:42,240 --> 00:31:44,360 Speaker 1: going to call him tweets, but he's been banned from Twitter. 475 00:31:44,400 --> 00:31:47,920 Speaker 1: He has his own his own social media site called 476 00:31:48,000 --> 00:31:51,320 Speaker 1: the Truth Social and all night long last night he 477 00:31:51,400 --> 00:31:55,120 Speaker 1: put out sixty tweets and a lot of it was 478 00:31:55,200 --> 00:31:58,760 Speaker 1: about how the uh, the election was stolen in twenty twenty, 479 00:31:59,680 --> 00:32:04,120 Speaker 1: and his support is still amazingly strong, even though you've 480 00:32:04,160 --> 00:32:10,600 Speaker 1: got a very credible alternative and Ron de Santis and 481 00:32:10,960 --> 00:32:14,880 Speaker 1: a couple other people too, And the power he has 482 00:32:14,960 --> 00:32:19,360 Speaker 1: over people is so overwhelming. But like I said before 483 00:32:19,440 --> 00:32:21,920 Speaker 1: running on twenty twenty, that is a loser. That is 484 00:32:22,080 --> 00:32:26,000 Speaker 1: that is the worst idea to center a campaign around 485 00:32:26,040 --> 00:32:30,680 Speaker 1: an old election that's never going to change. And and 486 00:32:30,800 --> 00:32:34,000 Speaker 1: if they if they actually indict him for all his 487 00:32:34,960 --> 00:32:37,560 Speaker 1: I don't know what these people are gonna do. But 488 00:32:38,040 --> 00:32:39,680 Speaker 1: it's you know, it's in the air now. They keep 489 00:32:39,760 --> 00:32:42,480 Speaker 1: doing these surveys and everybody thinks, yeah, yeah, we're heading 490 00:32:42,520 --> 00:32:45,160 Speaker 1: for a civil war. Sir John and Ken show deber 491 00:32:45,240 --> 00:32:48,040 Speaker 1: Mark has the news KF I am six forty. Hey, Ken, 492 00:32:48,160 --> 00:32:50,240 Speaker 1: did you know that gold is the only currency that's 493 00:32:50,240 --> 00:32:53,000 Speaker 1: held its value since the Dawn of money. Well I 494 00:32:53,120 --> 00:32:56,440 Speaker 1: did thanks to our friends at Legacy Precious Metals, the 495 00:32:56,560 --> 00:33:00,760 Speaker 1: most trusted name in gold investing. Investing in gold protects 496 00:33:00,800 --> 00:33:04,000 Speaker 1: you against inflation and gives you a hedge against stock 497 00:33:04,080 --> 00:33:08,000 Speaker 1: market volatility. Don't leave your retirement to chance. Call Legacy 498 00:33:08,080 --> 00:33:11,520 Speaker 1: Precious Medals today at eight six six six nine one 499 00:33:11,680 --> 00:33:14,880 Speaker 1: two one seven three or download your free investor's guide 500 00:33:14,960 --> 00:33:19,720 Speaker 1: now at by Legacygold dot com. That's by Legacygold dot com.