1 00:00:00,160 --> 00:00:02,000 Speaker 1: Hey, Ken, did you know that gold is the only 2 00:00:02,000 --> 00:00:05,080 Speaker 1: currency that's held its value since the dawn of money? 3 00:00:05,240 --> 00:00:08,840 Speaker 1: Well I did, thanks to our friends at Legacy Precious Medals, 4 00:00:08,880 --> 00:00:12,719 Speaker 1: the most trusted name in gold investing. Investing in gold 5 00:00:12,840 --> 00:00:16,239 Speaker 1: protects you against inflation and gives you a hedge against 6 00:00:16,280 --> 00:00:19,960 Speaker 1: stock market volatility. Don't leave your retirement to chance. Call 7 00:00:20,120 --> 00:00:23,760 Speaker 1: Legacy Precious Medals today at eight six six six nine 8 00:00:23,880 --> 00:00:27,040 Speaker 1: one two one seven three or download your free Investor's 9 00:00:27,120 --> 00:00:30,640 Speaker 1: guide now at by Legacy goold dot com. That's by 10 00:00:30,960 --> 00:00:34,680 Speaker 1: Legacy Goold dot com. You know how you sometimes just 11 00:00:34,760 --> 00:00:38,559 Speaker 1: have to judge what's going on with society by the 12 00:00:38,600 --> 00:00:40,479 Speaker 1: little things that happened in your own life, in your 13 00:00:40,479 --> 00:00:43,239 Speaker 1: own neighborhood. By the way, I'm not going to be 14 00:00:43,280 --> 00:00:45,839 Speaker 1: one of those people if there's a mass shooting or 15 00:00:45,960 --> 00:00:48,320 Speaker 1: shooting or a stabbing in my neighborho is going to say, Oh, 16 00:00:48,760 --> 00:00:52,120 Speaker 1: that never happens here. That's that's outrageous. How could that 17 00:00:52,159 --> 00:00:57,400 Speaker 1: possibly get? But two things happened that have never happened, 18 00:00:57,400 --> 00:00:59,120 Speaker 1: and all the time that I have lived where I live, 19 00:00:59,600 --> 00:01:02,600 Speaker 1: never and one of them has happened twice. I was 20 00:01:03,480 --> 00:01:06,520 Speaker 1: awakened again by the sound of a catalytic converter theft 21 00:01:06,560 --> 00:01:10,080 Speaker 1: outside my house. That's the second time this year that's 22 00:01:10,080 --> 00:01:13,480 Speaker 1: never happened before. And then last night, I'm in the 23 00:01:13,560 --> 00:01:15,920 Speaker 1: kitchen and I have like a little deck door that's opened, 24 00:01:16,200 --> 00:01:19,480 Speaker 1: and I hear noise, and I thought it sounds like 25 00:01:19,520 --> 00:01:23,760 Speaker 1: just kids in the neighborhood screaming. I said, it's not 26 00:01:23,959 --> 00:01:28,039 Speaker 1: exactly that. I took a look. It's a woman lying 27 00:01:28,080 --> 00:01:31,240 Speaker 1: on the ground in the street, screaming the top of 28 00:01:31,280 --> 00:01:33,039 Speaker 1: her lungs like she was on a bad drug trip, 29 00:01:33,240 --> 00:01:38,240 Speaker 1: kind of rolling around screaming. Yup. And I said, not 30 00:01:38,240 --> 00:01:42,759 Speaker 1: gonna do anything here necessarily. But you know, I live 31 00:01:42,760 --> 00:01:45,920 Speaker 1: in what I call the Prop thirteen neighborhood, which means everybody, 32 00:01:46,040 --> 00:01:49,520 Speaker 1: all of my neighbors are eighty plus because they have 33 00:01:49,600 --> 00:01:52,920 Speaker 1: incredibly low property tag. That's right, there's nowhere to go. 34 00:01:52,960 --> 00:01:54,480 Speaker 1: If they sell and try to buy a new hole, 35 00:01:54,640 --> 00:01:56,800 Speaker 1: they get assessed with the current property taxes. It's like 36 00:01:56,840 --> 00:01:59,640 Speaker 1: they're in over their head. I mean, it's a nice 37 00:01:59,680 --> 00:02:01,400 Speaker 1: place to have too, I'm not putting that part aside, 38 00:02:01,400 --> 00:02:04,480 Speaker 1: but those people are quiet until you know, the ambulance comes. 39 00:02:04,880 --> 00:02:06,840 Speaker 1: They all came out. It's like I watched them, and 40 00:02:06,920 --> 00:02:09,800 Speaker 1: then the guy walking his dog and he tried to 41 00:02:09,840 --> 00:02:11,560 Speaker 1: help her, but she ran off, and then I saw 42 00:02:11,639 --> 00:02:13,600 Speaker 1: him on the cell phone. I guess he called the cops. 43 00:02:13,600 --> 00:02:15,960 Speaker 1: He was describing her and where she ran to, like, 44 00:02:16,080 --> 00:02:18,359 Speaker 1: they're gonna do something. What are they gonna do with her? 45 00:02:18,720 --> 00:02:23,280 Speaker 1: Who knows nothing? Bring what's that that drug called that's 46 00:02:23,320 --> 00:02:26,799 Speaker 1: supposed to help you from an overdose? Yeah, well, if 47 00:02:26,800 --> 00:02:30,880 Speaker 1: you's an end narcn, right, bring some narcn that's about 48 00:02:30,880 --> 00:02:36,520 Speaker 1: all knows. I'm not saying anything about that. Really, you 49 00:02:36,560 --> 00:02:38,880 Speaker 1: had that right away? I oh, yeah, but she was 50 00:02:38,919 --> 00:02:41,440 Speaker 1: flopping around on the ground, just screaming like she was 51 00:02:41,480 --> 00:02:43,560 Speaker 1: being stamped at death. But there was nobody else there. 52 00:02:43,600 --> 00:02:47,080 Speaker 1: And yeah, that doesn't sound like Caroline. It sounds like meth. Yeah, 53 00:02:47,360 --> 00:02:48,920 Speaker 1: is that what can happen? You can have some sort 54 00:02:48,960 --> 00:02:52,239 Speaker 1: of bad hallucination or something. The ones who act the 55 00:02:52,280 --> 00:02:55,280 Speaker 1: most crazy in public, if they're not, if they're not 56 00:02:55,320 --> 00:02:58,280 Speaker 1: just outright mentally ill, that that's the meth. Right, that 57 00:02:58,440 --> 00:03:03,840 Speaker 1: causes you too, just you know, you scream and do 58 00:03:03,960 --> 00:03:07,200 Speaker 1: all kinds of crazy things. Oh, and I took a 59 00:03:07,280 --> 00:03:09,720 Speaker 1: dare and I flew on an airplane again and I 60 00:03:09,760 --> 00:03:11,399 Speaker 1: thought of Deborah Mark because I was looking to see 61 00:03:11,400 --> 00:03:14,720 Speaker 1: if there were masks anywhere, and there weren't. You were 62 00:03:14,840 --> 00:03:19,720 Speaker 1: baring one. No, no, but I wish I had because 63 00:03:20,560 --> 00:03:23,799 Speaker 1: a group sat behind me and one of them had 64 00:03:23,840 --> 00:03:29,600 Speaker 1: the worst bo I have smell years, and it's unmistakable. 65 00:03:29,639 --> 00:03:32,560 Speaker 1: It's not urine, it's not poop, you know, the smell 66 00:03:32,560 --> 00:03:36,200 Speaker 1: of really heavy sweat. Yeah, oh god, And I wasn't 67 00:03:36,200 --> 00:03:39,080 Speaker 1: the only one. We're all looking around like, oh yeah, no, 68 00:03:39,200 --> 00:03:41,440 Speaker 1: that's unfortunately did not sit next to me, but it 69 00:03:41,480 --> 00:03:43,120 Speaker 1: was behind me in the middle seat. Was that a 70 00:03:43,160 --> 00:03:46,520 Speaker 1: short flight? It was a short flight, like you didn't 71 00:03:46,560 --> 00:03:53,040 Speaker 1: have six hours exactly right, Because your nose works, it's 72 00:03:53,080 --> 00:03:56,600 Speaker 1: trying to pick up exactly what's going on. Oh yeah, 73 00:03:56,640 --> 00:03:59,840 Speaker 1: it's unmistakably bodio or heat, but with a bad stink. 74 00:04:00,000 --> 00:04:01,600 Speaker 1: And I want to take them out into the tarmac 75 00:04:01,680 --> 00:04:04,320 Speaker 1: and just beat them to a pulp. And he's trappling 76 00:04:04,320 --> 00:04:07,080 Speaker 1: with two other guys. How do you not know? How 77 00:04:07,120 --> 00:04:10,400 Speaker 1: do they know? They don't care you're in their twenties, 78 00:04:10,680 --> 00:04:13,360 Speaker 1: that you're a stench bomb. I have a tip for you, guys. 79 00:04:14,080 --> 00:04:16,080 Speaker 1: This is what you need to do. You need to 80 00:04:16,080 --> 00:04:21,040 Speaker 1: bring an essential oil, perhaps lavender. I like the term 81 00:04:21,160 --> 00:04:24,520 Speaker 1: essential oil. You need some other oils are not essential 82 00:04:25,080 --> 00:04:28,160 Speaker 1: paper towel and you dows it. So then when you 83 00:04:28,240 --> 00:04:31,520 Speaker 1: do have somebody on your plane that smells or perhaps 84 00:04:31,520 --> 00:04:33,680 Speaker 1: in an uber, which has happened to me, you just 85 00:04:33,800 --> 00:04:35,839 Speaker 1: put that clean X up to your nose and you 86 00:04:35,880 --> 00:04:37,880 Speaker 1: breathe that. In the whole time. You have your own 87 00:04:37,920 --> 00:04:42,920 Speaker 1: little environment, Yes, your own nasal environment. Absolutely, what a hell? 88 00:04:43,080 --> 00:04:46,440 Speaker 1: You what a helpful hint? I think she's pretty good. 89 00:04:46,640 --> 00:04:48,839 Speaker 1: We want to call her in on this. Got a 90 00:04:48,880 --> 00:04:52,360 Speaker 1: good helpful hint to save your respiratory system? Can you 91 00:04:52,400 --> 00:04:56,080 Speaker 1: imagine what huff and lavender? Yeah, that's true. You might 92 00:04:56,120 --> 00:04:58,440 Speaker 1: have your own trip. I think that explains what's going 93 00:04:58,480 --> 00:05:02,840 Speaker 1: on with you. She's she's snorting it. We learned bit 94 00:05:02,880 --> 00:05:04,560 Speaker 1: by bit how she copes with the world. Who you 95 00:05:04,880 --> 00:05:07,039 Speaker 1: noticed that, you know, the paper towels to grab the 96 00:05:07,080 --> 00:05:11,240 Speaker 1: door handles, We've learned on the planes essential oils. Yeah, 97 00:05:11,000 --> 00:05:12,720 Speaker 1: you know she's still doing the paper towels on the 98 00:05:12,760 --> 00:05:15,600 Speaker 1: door handles, especially if Steve Gregory's around. Oh yeah, yeah, man, 99 00:05:16,560 --> 00:05:19,839 Speaker 1: what's wrong with Steve Gregory is where those hands been. 100 00:05:19,920 --> 00:05:25,360 Speaker 1: He's got cooties. Is that what she says? Yeah, no, 101 00:05:25,440 --> 00:05:29,960 Speaker 1: you can show that. Don't get me in trouble. But 102 00:05:30,160 --> 00:05:34,000 Speaker 1: he gives you a hard time. I know, believe that 103 00:05:34,160 --> 00:05:37,600 Speaker 1: or not. And I predicted this. They're still counting the 104 00:05:37,640 --> 00:05:41,160 Speaker 1: votes from last Tuesday, and they put out a report 105 00:05:41,240 --> 00:05:45,279 Speaker 1: late Friday the Karen Vass is gaining ground on Rick Caruso. 106 00:05:45,480 --> 00:05:47,120 Speaker 1: Not that it matters. They're both going to meet in 107 00:05:47,160 --> 00:05:50,400 Speaker 1: November anyway. But I did say this. I said, you know, 108 00:05:50,680 --> 00:05:52,599 Speaker 1: with the people that vote the day of, or the 109 00:05:52,640 --> 00:05:55,480 Speaker 1: provisional ballots and the mail in ballots that are dropped 110 00:05:55,520 --> 00:05:57,480 Speaker 1: off the day of or I guess you can, you can. 111 00:05:57,520 --> 00:06:00,200 Speaker 1: Actually they're good even if they arrived three days after 112 00:06:00,200 --> 00:06:02,880 Speaker 1: the election. Explain that to me. How can you accept 113 00:06:02,920 --> 00:06:05,640 Speaker 1: the balance that's arriving three days late doesn't have to 114 00:06:05,640 --> 00:06:07,880 Speaker 1: be postmarked though by midnight of election day? Isn't that 115 00:06:07,960 --> 00:06:10,120 Speaker 1: the rule? Who knows? If they do? You think they 116 00:06:10,160 --> 00:06:12,880 Speaker 1: follow rules? Do you think any of these people care? 117 00:06:14,920 --> 00:06:18,520 Speaker 1: This is this is how elections get corrupted. We have 118 00:06:18,600 --> 00:06:21,240 Speaker 1: some of the worst sets of election laws in the 119 00:06:21,240 --> 00:06:23,960 Speaker 1: whole country. Yeah, but you're going to talk about because yeah, 120 00:06:23,960 --> 00:06:26,080 Speaker 1: we shoot an article in the National Review by John 121 00:06:26,160 --> 00:06:28,880 Speaker 1: Fund who we've quoted before, where he runs down all 122 00:06:28,880 --> 00:06:31,760 Speaker 1: the problems with California elections because when you have one 123 00:06:31,880 --> 00:06:35,920 Speaker 1: party rule, they will set up a one party corrupt 124 00:06:36,000 --> 00:06:39,120 Speaker 1: election system. So they always stay in power just in 125 00:06:39,160 --> 00:06:42,479 Speaker 1: case something goes starts to go sour. They can fix things. 126 00:06:43,080 --> 00:06:45,680 Speaker 1: You know. It's like in movies or TV shows. They 127 00:06:45,720 --> 00:06:49,160 Speaker 1: fix things in post productions. In post production, all right, 128 00:06:49,200 --> 00:06:52,080 Speaker 1: they correct sound problems or lighting problems or whatever. That's 129 00:06:52,400 --> 00:06:56,039 Speaker 1: what this is, post production. Case there's any problem with 130 00:06:56,080 --> 00:06:58,320 Speaker 1: the election outcome. And when we first talked about this 131 00:06:58,360 --> 00:07:00,840 Speaker 1: list last week, I mistakenly said, well, there's so few 132 00:07:00,880 --> 00:07:03,279 Speaker 1: people voting, it shouldn't be that to take that long 133 00:07:03,320 --> 00:07:05,960 Speaker 1: to count all the ballots. But apparently that's not how 134 00:07:05,960 --> 00:07:08,960 Speaker 1: it works, because we wait and we wait and we 135 00:07:09,000 --> 00:07:11,400 Speaker 1: wait because there's still people voting, right they you know, 136 00:07:11,440 --> 00:07:12,920 Speaker 1: they may have arrived the day of the election and 137 00:07:13,000 --> 00:07:14,840 Speaker 1: we have to put the ballot aside and then check 138 00:07:14,840 --> 00:07:17,520 Speaker 1: it later and right, so they were still accepting votes 139 00:07:17,560 --> 00:07:20,320 Speaker 1: on Friday last week, which was the last work day. 140 00:07:20,680 --> 00:07:22,400 Speaker 1: I just look to be less of that kind of 141 00:07:22,480 --> 00:07:24,960 Speaker 1: riff raff irresponsible voters than there are, like in a 142 00:07:25,000 --> 00:07:26,960 Speaker 1: presidential election, So I didn't think it'd be a big 143 00:07:26,960 --> 00:07:29,840 Speaker 1: impact this time, but it's still it's dragging the vote count. 144 00:07:29,920 --> 00:07:34,320 Speaker 1: Much of the world is riff raff. Now we're a 145 00:07:34,400 --> 00:07:41,560 Speaker 1: majority riff raff. What are you looking for? Statesmen? So 146 00:07:42,000 --> 00:07:46,400 Speaker 1: there's now he had a five percentage point lead on 147 00:07:46,520 --> 00:07:49,400 Speaker 1: Wednesday morning, but now the latest vote count, which actually 148 00:07:49,400 --> 00:07:51,720 Speaker 1: came out Friday, don't There's gonna be another update today, 149 00:07:52,000 --> 00:07:56,000 Speaker 1: but it's only a point and a half roughly between them. 150 00:07:56,040 --> 00:07:58,560 Speaker 1: And again it does not matter because those are the 151 00:07:58,600 --> 00:08:00,560 Speaker 1: top two and they're gonna meet November. But it's just 152 00:08:00,680 --> 00:08:05,520 Speaker 1: interesting to see what we always see the quote more progressive, 153 00:08:05,680 --> 00:08:09,360 Speaker 1: left leaning candidate seems to just gain votes mysteriously days 154 00:08:09,360 --> 00:08:12,240 Speaker 1: and weeks after the election. How does that happen? Because 155 00:08:12,240 --> 00:08:15,080 Speaker 1: they have more of the riff raft that doesn't vote, 156 00:08:15,280 --> 00:08:17,640 Speaker 1: so they have to ballot harvest, they have to push 157 00:08:17,680 --> 00:08:20,320 Speaker 1: people into it, they have to get people people wake 158 00:08:20,440 --> 00:08:22,160 Speaker 1: up that morning go oh yeah, I should vote it. 159 00:08:22,160 --> 00:08:24,840 Speaker 1: I'll just drop this. OI. I looked at the Times 160 00:08:24,840 --> 00:08:27,160 Speaker 1: color coded map of where Oh yeah, I mean to 161 00:08:27,160 --> 00:08:29,679 Speaker 1: look at that. What'd you find out? What the west 162 00:08:29,720 --> 00:08:36,880 Speaker 1: side was? Caruso green Well almost almost exclusively Caruso juet 163 00:08:37,000 --> 00:08:39,959 Speaker 1: which something to do with that, which surprised me. But yeah, 164 00:08:40,080 --> 00:08:42,840 Speaker 1: from Beverly Hill stretching all the way out to Pacific 165 00:08:42,880 --> 00:08:45,880 Speaker 1: Palisades and everything in between, there was a lot of 166 00:08:45,960 --> 00:08:48,800 Speaker 1: dark and light green. That's the color they assigned Caruso. 167 00:08:48,880 --> 00:08:52,000 Speaker 1: I guess for money. Maybe well that's his home territory too. 168 00:08:52,080 --> 00:08:55,880 Speaker 1: But yeah, but I mean, these people are so died 169 00:08:55,920 --> 00:09:03,400 Speaker 1: in the whole, extreme liberal socialists. And predictably, even Sheriffia 170 00:09:03,440 --> 00:09:06,160 Speaker 1: Wavers lead dropped a little bit too in the latest 171 00:09:06,200 --> 00:09:08,760 Speaker 1: vote count. So same thing's happening all over the place 172 00:09:08,800 --> 00:09:12,480 Speaker 1: with these mysterious late counted belts. Last I saw twenty 173 00:09:12,480 --> 00:09:15,000 Speaker 1: eight percent of the vote was still not counted. Twenty 174 00:09:15,000 --> 00:09:16,679 Speaker 1: eight percent of the vote, Yeah it is. It's at 175 00:09:16,720 --> 00:09:19,760 Speaker 1: seventy two points something right right after almost a week, 176 00:09:19,960 --> 00:09:22,880 Speaker 1: after almost a week. I know, I know they used 177 00:09:22,880 --> 00:09:25,160 Speaker 1: to everything used to be done the next morning, and 178 00:09:25,200 --> 00:09:28,280 Speaker 1: the turnout was pathetic. So I don't know what they Well, 179 00:09:28,080 --> 00:09:30,559 Speaker 1: we get to that article, we'll go through a long 180 00:09:30,679 --> 00:09:35,080 Speaker 1: list of things that California has that most other states don't. Yeah, 181 00:09:35,160 --> 00:09:38,200 Speaker 1: that's telling the system is corrupt here, or it's got 182 00:09:38,280 --> 00:09:40,480 Speaker 1: to talk corrupt we will talk about what's referred to 183 00:09:40,520 --> 00:09:43,520 Speaker 1: as california as crazy vote count. Coming up next, John 184 00:09:43,520 --> 00:09:48,200 Speaker 1: and Ken Kfi. All right, so we're talking about California's 185 00:09:48,280 --> 00:09:52,640 Speaker 1: vote count and how again, even though nobody voted last Tuesday, 186 00:09:52,679 --> 00:09:55,880 Speaker 1: the results are still coming in. They're still being tabulated, 187 00:09:55,880 --> 00:09:59,160 Speaker 1: so standby about a month from now they might be finalized. 188 00:09:59,679 --> 00:10:03,920 Speaker 1: John Fund, who Rights for National Review, did a pretty 189 00:10:03,920 --> 00:10:07,840 Speaker 1: good rundown about this state, California's crazy vote count, as 190 00:10:07,840 --> 00:10:12,640 Speaker 1: a warning to other states. In election integrity, California ranks 191 00:10:12,800 --> 00:10:15,520 Speaker 1: forty ninth in the nation. That's about where we are 192 00:10:15,559 --> 00:10:17,520 Speaker 1: and most of the things right to the Business Index 193 00:10:17,600 --> 00:10:21,319 Speaker 1: that we're first in taxes, forty ninth. At election integrity, 194 00:10:21,559 --> 00:10:24,920 Speaker 1: they have a scorer system zero to one hundred. We 195 00:10:25,000 --> 00:10:29,680 Speaker 1: got thirty. Who's behind us? Did it? Say? No, who's 196 00:10:29,679 --> 00:10:32,280 Speaker 1: got less integrity? You know, I'm gonna go find this 197 00:10:32,400 --> 00:10:36,520 Speaker 1: Heritage Foundation gotta be New Joysey. Yeah, it is probably 198 00:10:36,520 --> 00:10:39,200 Speaker 1: one of those mob states, one of those dirty mob states. 199 00:10:39,360 --> 00:10:41,600 Speaker 1: The Heritage Foundation is a think tank and they have 200 00:10:41,640 --> 00:10:45,000 Speaker 1: an election integrity scorecard and they ranked us forty ninth. 201 00:10:45,400 --> 00:10:47,559 Speaker 1: And do you know, California is the only state in 202 00:10:47,600 --> 00:10:50,200 Speaker 1: the nation where it's illegal for officials to ask for 203 00:10:50,280 --> 00:10:54,720 Speaker 1: people's ideas that didn't know that. We were the only one. 204 00:10:54,800 --> 00:10:56,640 Speaker 1: But do they do that in other states where it's 205 00:10:56,679 --> 00:11:00,120 Speaker 1: just not illegal to do that. I don't know some 206 00:11:01,280 --> 00:11:05,760 Speaker 1: valid place of the precinct to decide that's automatic fraud. 207 00:11:07,080 --> 00:11:08,960 Speaker 1: I mean, we're gonna go through how many different ways 208 00:11:09,520 --> 00:11:12,760 Speaker 1: they enable you to commit fraud. So, of course, if 209 00:11:12,760 --> 00:11:14,839 Speaker 1: they need extra votes, there's a way to do it 210 00:11:15,160 --> 00:11:18,679 Speaker 1: if you don't need an I D. Yeah, but they 211 00:11:18,679 --> 00:11:21,280 Speaker 1: get such a like for instance, in this primary such 212 00:11:21,280 --> 00:11:25,560 Speaker 1: a low turnout, could could many of those be illegal voters? 213 00:11:25,640 --> 00:11:27,720 Speaker 1: Is what I'm saying. It's not about the turnout, it's 214 00:11:27,720 --> 00:11:31,120 Speaker 1: about winning. You have to just get one more vote 215 00:11:31,120 --> 00:11:34,400 Speaker 1: than the other side, I know, so you can tilt 216 00:11:34,440 --> 00:11:39,880 Speaker 1: the process in a close race easily. Now you sound 217 00:11:39,920 --> 00:11:44,200 Speaker 1: like Trump, Um, although that was a big turnout election. Well, 218 00:11:44,240 --> 00:11:47,560 Speaker 1: I mean, you can do it. He's insane about his 219 00:11:47,640 --> 00:11:51,000 Speaker 1: election claims. But what I'm saying is here in California, 220 00:11:51,080 --> 00:11:55,480 Speaker 1: it can be done. The laws allow it. Right well, um, 221 00:11:56,320 --> 00:12:00,199 Speaker 1: so so get for example, here in twenty twenty, Lake 222 00:12:00,240 --> 00:12:03,920 Speaker 1: County has a registration rate of one hundred and twelve 223 00:12:04,000 --> 00:12:11,079 Speaker 1: percent of its adult citizen population. You got that there's 224 00:12:11,120 --> 00:12:14,760 Speaker 1: a few more people register than are actually here, right, right, exactly. 225 00:12:15,000 --> 00:12:21,560 Speaker 1: These are people who moved or died and they have 226 00:12:21,679 --> 00:12:25,120 Speaker 1: not been taken off the rolls. Right. But you know, 227 00:12:25,640 --> 00:12:28,319 Speaker 1: it was a lawsuit, judicial watch suit, and they were 228 00:12:28,360 --> 00:12:30,360 Speaker 1: told they have to do that. But I don't know 229 00:12:30,400 --> 00:12:33,319 Speaker 1: that they've done that yet. Yeah, because there was there 230 00:12:33,400 --> 00:12:38,319 Speaker 1: was a federal court issued a ruling about Ohio. Federal 231 00:12:38,400 --> 00:12:44,800 Speaker 1: law says you must. It's mandatory, you must remove outdated signatures. Yeah, 232 00:12:45,000 --> 00:12:47,000 Speaker 1: and I mean how many times we talk about this. 233 00:12:47,120 --> 00:12:49,840 Speaker 1: People send an email to us from another state. I 234 00:12:49,920 --> 00:12:51,800 Speaker 1: just got a California ballot. I haven't lived there for 235 00:12:51,840 --> 00:12:54,640 Speaker 1: five years. But okay, but there's one way you can 236 00:12:54,679 --> 00:12:58,000 Speaker 1: do it. If you can call out the ineligible voters, 237 00:12:58,040 --> 00:13:01,120 Speaker 1: the dead voters, the moved voters. If you have access 238 00:13:01,200 --> 00:13:05,640 Speaker 1: to public databases, you can get that together and then 239 00:13:05,760 --> 00:13:08,880 Speaker 1: assign those identities to people who aren't going to be 240 00:13:08,960 --> 00:13:13,440 Speaker 1: asked for an ID card at the voting desk. He says, 241 00:13:13,480 --> 00:13:16,160 Speaker 1: it's some progress has been made in California, but enforcement 242 00:13:16,160 --> 00:13:19,040 Speaker 1: of the Judicial Watch agreement has been sporadic and half 243 00:13:19,080 --> 00:13:21,920 Speaker 1: hearted because they don't care a priority yeah, the court, 244 00:13:21,960 --> 00:13:23,920 Speaker 1: the courts can issue all the orders they want. But 245 00:13:24,000 --> 00:13:31,160 Speaker 1: if the rank and file, you know, I mean, these 246 00:13:31,200 --> 00:13:34,640 Speaker 1: people who work for the government, they don't care and 247 00:13:34,720 --> 00:13:37,400 Speaker 1: you're never going to make them care, all right, they're drones. 248 00:13:38,800 --> 00:13:42,480 Speaker 1: Well again, it benefits in this case the party in 249 00:13:42,520 --> 00:13:45,800 Speaker 1: power you want to call them progressives or liberals, that 250 00:13:45,840 --> 00:13:49,200 Speaker 1: there's just a higher vote count. It always benefits. Yeah, 251 00:13:49,200 --> 00:13:53,160 Speaker 1: the party permanently in power. Now. Two thirds of Californians 252 00:13:53,200 --> 00:13:55,880 Speaker 1: vote by mail. Ballots can be counted if they arrived 253 00:13:55,960 --> 00:13:59,400 Speaker 1: three days after the election, three days not just Tuesday, 254 00:13:59,440 --> 00:14:01,960 Speaker 1: but Wednesday, Thursday, and Friday last week. And if the 255 00:14:02,000 --> 00:14:06,560 Speaker 1: signatures don't match, voters must be contacted and allowed to 256 00:14:06,600 --> 00:14:10,720 Speaker 1: make corrections. But what does that mean? And by the way, 257 00:14:10,720 --> 00:14:14,040 Speaker 1: how many people do you think they call your signature 258 00:14:14,080 --> 00:14:18,880 Speaker 1: doesn't match? I don't know. How about zero? On election 259 00:14:18,960 --> 00:14:21,040 Speaker 1: day you can show up at a polling location, registered 260 00:14:21,080 --> 00:14:22,640 Speaker 1: to vote, and cast a ballot all in the same 261 00:14:22,720 --> 00:14:24,800 Speaker 1: day by taking advantage of what they call the conditional 262 00:14:24,880 --> 00:14:28,320 Speaker 1: voter registration process. It's all too easy then, from someone 263 00:14:28,320 --> 00:14:30,360 Speaker 1: out of state or in another city to give an 264 00:14:30,360 --> 00:14:34,040 Speaker 1: incorrect address have their vote counted before anyone is the wiser. 265 00:14:34,520 --> 00:14:37,760 Speaker 1: Then he mentions ballot harvesting, which we've talked about at 266 00:14:37,840 --> 00:14:40,840 Speaker 1: length on this show over the years. I didn't know this, 267 00:14:41,040 --> 00:14:47,760 Speaker 1: but the El Segundo Propaganda Times had once blasted the 268 00:14:47,880 --> 00:14:52,800 Speaker 1: overly permissive ballot collection law as being written without sufficient safeguards. 269 00:14:53,000 --> 00:14:57,160 Speaker 1: Yea twenty eighteen editorial that the law passed in twenty 270 00:14:57,200 --> 00:14:59,880 Speaker 1: sixteen opens the door to coercion and fraud and should 271 00:14:59,880 --> 00:15:02,920 Speaker 1: be fixed the repeal. Look at that. It's what we've 272 00:15:02,920 --> 00:15:06,640 Speaker 1: been saying. They say the same thing. They know night. Oh, 273 00:15:06,720 --> 00:15:10,440 Speaker 1: and the DMV registers people to vote automatically, and this 274 00:15:10,440 --> 00:15:12,960 Speaker 1: story says the program is riddled with errors and has 275 00:15:12,960 --> 00:15:20,720 Speaker 1: registered illegal immigrants, miners, and felons. He also mentions that 276 00:15:21,040 --> 00:15:23,800 Speaker 1: California allows and I talked about it before, provisional ballots. 277 00:15:24,000 --> 00:15:25,600 Speaker 1: It means you can walk up and not be on 278 00:15:25,640 --> 00:15:27,760 Speaker 1: the registration roles, but you can still fill out a 279 00:15:27,760 --> 00:15:29,760 Speaker 1: ballot and they put it on the side and they 280 00:15:29,840 --> 00:15:32,000 Speaker 1: check it out later to see whether or not it's 281 00:15:32,040 --> 00:15:35,400 Speaker 1: a valid vote. They check it out later. I want 282 00:15:35,400 --> 00:15:37,000 Speaker 1: to see the check it out later, room. What do 283 00:15:37,040 --> 00:15:41,120 Speaker 1: you think that looks like? That's a hotbed. And then 284 00:15:41,120 --> 00:15:45,040 Speaker 1: he finally mentions this stupid top two jungle primary, which 285 00:15:45,960 --> 00:15:49,080 Speaker 1: has been around since twenty twelve, really ten years already. Yeah, 286 00:15:49,120 --> 00:15:51,640 Speaker 1: it stinks. What was that oath's name that gave up 287 00:15:51,640 --> 00:15:55,280 Speaker 1: his vote for taxes to get this able Maldonado able. 288 00:15:55,360 --> 00:15:57,760 Speaker 1: Maldonado I thought he was going to be governor someday, 289 00:15:57,800 --> 00:16:01,520 Speaker 1: and that's why he traded a vote for taxes to 290 00:16:01,560 --> 00:16:04,760 Speaker 1: Schwarzenegger for this top two primary system because he thought 291 00:16:04,760 --> 00:16:07,640 Speaker 1: he would come out on top. He goes, you know, 292 00:16:07,760 --> 00:16:10,120 Speaker 1: I'm not really just a Republican conservative. I'm more in 293 00:16:10,120 --> 00:16:12,600 Speaker 1: the middle, and people will pick me when they understand. 294 00:16:13,040 --> 00:16:16,360 Speaker 1: He disappeared, He sank to the bottom of the septic tank. 295 00:16:16,720 --> 00:16:20,440 Speaker 1: He was a bad idea. Schwartzenker is promoting this hard 296 00:16:20,480 --> 00:16:24,000 Speaker 1: too bad idea, and everybody's admitted didn't work out the 297 00:16:24,040 --> 00:16:27,040 Speaker 1: way they said it would. No, no, so just go 298 00:16:27,120 --> 00:16:29,480 Speaker 1: back to the old system. It's just pointing out that 299 00:16:29,520 --> 00:16:31,920 Speaker 1: we do have some of the most ridiculous over the top. 300 00:16:32,400 --> 00:16:34,920 Speaker 1: Let's make sure that everybody has an opportunity to vote. 301 00:16:34,960 --> 00:16:38,400 Speaker 1: There should any disenfranchised people. You see, that's not their purpose. 302 00:16:38,440 --> 00:16:41,680 Speaker 1: They don't care how many people vote. All they care 303 00:16:41,680 --> 00:16:44,800 Speaker 1: about is that they win. They like to cover themselves, 304 00:16:44,920 --> 00:16:48,120 Speaker 1: like we want everyone to express their civic duty, you know, 305 00:16:48,480 --> 00:16:51,240 Speaker 1: we want everyone to take the responsibility and a democracy 306 00:16:51,280 --> 00:16:56,120 Speaker 1: of voting. No, they don't care. They just want to win. Right. 307 00:16:56,160 --> 00:16:59,720 Speaker 1: But historically people that are a little better off and 308 00:17:00,080 --> 00:17:02,840 Speaker 1: a little more at stake vote and and you have 309 00:17:02,920 --> 00:17:06,040 Speaker 1: the poor people that just kind of don't do anything. Well, 310 00:17:06,200 --> 00:17:09,199 Speaker 1: so that's why you have to create this u system 311 00:17:09,200 --> 00:17:11,800 Speaker 1: of loopholes. That's why ballot harvesting was a big one, 312 00:17:11,920 --> 00:17:15,040 Speaker 1: because that way you can go door to door and say, hey, 313 00:17:15,400 --> 00:17:17,359 Speaker 1: you probably got a ballot in the mail. All Californians 314 00:17:17,359 --> 00:17:19,239 Speaker 1: get a ballot in the mail. Let's let's talk about it. 315 00:17:19,320 --> 00:17:21,760 Speaker 1: So they're going to people who are not interested in voting. 316 00:17:21,840 --> 00:17:24,800 Speaker 1: They don't care, they don't know. It just doesn't matter 317 00:17:24,840 --> 00:17:28,560 Speaker 1: to them, and you're basically insisting that they vote by saying, hey, look, 318 00:17:28,600 --> 00:17:30,639 Speaker 1: we have your ballot here, and we have it filled 319 00:17:30,680 --> 00:17:33,800 Speaker 1: out already. Would you mind if we take it in 320 00:17:34,320 --> 00:17:37,200 Speaker 1: and well, yeah, sure, go take it in, doesn't matter, 321 00:17:37,280 --> 00:17:40,959 Speaker 1: vote for whatever whatever you want. Well, you're the one 322 00:17:41,000 --> 00:17:42,560 Speaker 1: that told me or there was an email that said 323 00:17:42,640 --> 00:17:45,920 Speaker 1: when they voted in person on the ballot, the machine 324 00:17:46,080 --> 00:17:47,919 Speaker 1: and I said it, We've already checked off for Newsom 325 00:17:47,920 --> 00:17:50,400 Speaker 1: when they got to the coverts. No, that's what one 326 00:17:50,480 --> 00:17:54,800 Speaker 1: listen saying, all right, we got a bore a covert 327 00:17:54,840 --> 00:17:57,240 Speaker 1: out John and k Cafi. One. A big choice today, 328 00:17:57,240 --> 00:18:00,720 Speaker 1: of course, is the crash of the financial markets if 329 00:18:00,760 --> 00:18:03,760 Speaker 1: you care. It's a big drop for the Dow, the 330 00:18:03,920 --> 00:18:06,879 Speaker 1: S ANDP, the NASDAK all just plunged and you know 331 00:18:06,960 --> 00:18:12,199 Speaker 1: everyone won why well why inflation and the fears of 332 00:18:12,200 --> 00:18:14,679 Speaker 1: a recession and just one of those days everybody decided 333 00:18:14,720 --> 00:18:17,639 Speaker 1: to sell. People are showing out taking the profits they 334 00:18:17,680 --> 00:18:20,480 Speaker 1: made the last few years. Yeah, this is a twenty 335 00:18:20,520 --> 00:18:24,320 Speaker 1: percent drop in the market since the beginning of the year. 336 00:18:25,000 --> 00:18:28,040 Speaker 1: The SMP five hundred into the session at a bear market, 337 00:18:28,119 --> 00:18:31,399 Speaker 1: down at least twenty percent from a tie in January. 338 00:18:31,440 --> 00:18:33,840 Speaker 1: To give you the comparison, because after we and we're 339 00:18:33,840 --> 00:18:36,720 Speaker 1: going to talk about that now, after the initial big 340 00:18:36,800 --> 00:18:39,520 Speaker 1: drop during the beginning of the pandemic, the markets had 341 00:18:39,520 --> 00:18:42,639 Speaker 1: really been on a roll throughout twenty twenty and twenty 342 00:18:42,680 --> 00:18:45,840 Speaker 1: twenty one. But now a bit of reality is coming back. 343 00:18:45,920 --> 00:18:49,160 Speaker 1: And I mean the markets have so many different factors 344 00:18:49,200 --> 00:18:51,600 Speaker 1: going into it's a billion different things going on in 345 00:18:51,680 --> 00:18:53,720 Speaker 1: terms of where they go, but sometimes they do go 346 00:18:53,760 --> 00:18:56,879 Speaker 1: in one big direction. And most of this year of 347 00:18:56,920 --> 00:18:59,720 Speaker 1: that dog is downward. Most companies are going to be 348 00:18:59,720 --> 00:19:03,399 Speaker 1: making less money. That's true. That's you know, did you 349 00:19:03,400 --> 00:19:06,080 Speaker 1: see that story the target the targets suddenly has too 350 00:19:06,160 --> 00:19:09,439 Speaker 1: much inventory again, that they have the wrong inventory. In 351 00:19:09,440 --> 00:19:13,320 Speaker 1: other words, people not buying the crap that they ordered. Yeah. Well, 352 00:19:13,359 --> 00:19:16,199 Speaker 1: because if you if you don't see something like this coming, 353 00:19:16,760 --> 00:19:19,720 Speaker 1: you assume buying patterns will continue in the same direction. 354 00:19:20,320 --> 00:19:22,879 Speaker 1: And then when you have massive inflation and people have 355 00:19:22,960 --> 00:19:29,240 Speaker 1: to suddenly cut purchases, Yeah, that's also happening. Fey making 356 00:19:29,240 --> 00:19:31,560 Speaker 1: the decision that I'm spending so much more. I mean 357 00:19:31,680 --> 00:19:34,720 Speaker 1: John's cheese, and this cheese has gone up way in price. 358 00:19:34,800 --> 00:19:37,800 Speaker 1: And well I heard today that the average households paying 359 00:19:37,840 --> 00:19:41,320 Speaker 1: an extra three hundred forty dollars a month now in 360 00:19:41,760 --> 00:19:46,280 Speaker 1: higher food costs, and you're also looking at probably a 361 00:19:46,280 --> 00:19:50,400 Speaker 1: couple hundred dollars more a month in gas costs. That's 362 00:19:50,440 --> 00:19:54,000 Speaker 1: got to come out of something, right. Most people have 363 00:19:54,400 --> 00:19:58,359 Speaker 1: little savings and they're living paycheck to paycheck. Now. The 364 00:19:59,440 --> 00:20:01,919 Speaker 1: when you and I talk on the show about so 365 00:20:02,000 --> 00:20:05,200 Speaker 1: much attention is paid to whose president and the administration. 366 00:20:05,359 --> 00:20:08,760 Speaker 1: We often downplay it, but well, the Wall Street Journal 367 00:20:08,840 --> 00:20:10,880 Speaker 1: to the story about how the FED and the Biden 368 00:20:10,880 --> 00:20:15,880 Speaker 1: administration got the whole inflation thing completely wrong. And basically 369 00:20:15,880 --> 00:20:18,159 Speaker 1: they were looking at the playbook from the two thousand 370 00:20:18,200 --> 00:20:20,640 Speaker 1: and seven to two thousand and nine financial crisis, remember 371 00:20:20,640 --> 00:20:25,159 Speaker 1: the mortgage meltdown, where it was weak demand, slow growth, 372 00:20:25,800 --> 00:20:30,680 Speaker 1: high unemployment. Inflation was actually really really low. But when 373 00:20:30,680 --> 00:20:34,440 Speaker 1: the pandemic hit in twenty twenty and Trump was president, then, 374 00:20:34,480 --> 00:20:37,280 Speaker 1: to be fair, although it's continued with the same policies 375 00:20:37,320 --> 00:20:40,399 Speaker 1: and Biden and the Fed they thought they probably had 376 00:20:40,440 --> 00:20:42,680 Speaker 1: to do what they did back in two thousand and 377 00:20:42,680 --> 00:20:46,359 Speaker 1: seven and two thousand and nine to try to prop 378 00:20:46,440 --> 00:20:50,119 Speaker 1: up the economy. But what happened instead was there was 379 00:20:50,160 --> 00:20:53,880 Speaker 1: actually a pretty fast recovery in a lot of the 380 00:20:53,920 --> 00:20:59,080 Speaker 1: sectors of the economy. Well because we gave businesses and 381 00:21:00,119 --> 00:21:03,600 Speaker 1: people trillions of dollars in cash. Yes, it was an 382 00:21:03,640 --> 00:21:07,119 Speaker 1: immediate movement to have all of these aid programs. We 383 00:21:07,160 --> 00:21:10,080 Speaker 1: know it well here in California with the Employment Development 384 00:21:10,080 --> 00:21:13,560 Speaker 1: Department getting ripped off for thirty billion dollars in fraud, 385 00:21:14,280 --> 00:21:17,359 Speaker 1: they immediately pumped all sorts of money into the economy, 386 00:21:17,680 --> 00:21:20,199 Speaker 1: and that's just going to fuel inflation because at the 387 00:21:20,240 --> 00:21:24,280 Speaker 1: same time the unemployment dip, it did drive. There was 388 00:21:24,359 --> 00:21:26,200 Speaker 1: big unemployment at the beginning of the the pandemic, all the 389 00:21:26,240 --> 00:21:28,800 Speaker 1: restaurant workers, all the stores, everything's got locked down closed. 390 00:21:29,040 --> 00:21:31,800 Speaker 1: But that turned around faster than they thought, but they 391 00:21:31,800 --> 00:21:33,960 Speaker 1: didn't react to it. They was still giving out stimulus 392 00:21:34,000 --> 00:21:36,720 Speaker 1: money the way, and meanwhile the FED was trying to 393 00:21:36,800 --> 00:21:39,640 Speaker 1: keep the rates low and not and just keep them all, 394 00:21:39,720 --> 00:21:41,679 Speaker 1: keep them all. We got to spur people to spend 395 00:21:41,720 --> 00:21:44,640 Speaker 1: and spend. All of this resulted in and of course 396 00:21:44,680 --> 00:21:47,480 Speaker 1: a year ago we heard from the FED chairman, we 397 00:21:47,560 --> 00:21:49,800 Speaker 1: heard from the Bide administration. They're all like, oh, this 398 00:21:49,920 --> 00:21:53,600 Speaker 1: is this temporary, this is transition, right, and so we'll 399 00:21:53,640 --> 00:21:55,879 Speaker 1: be fine in a year. Right. So where they just 400 00:21:58,080 --> 00:22:01,520 Speaker 1: spreading pop propaganda for the good of their team or 401 00:22:01,560 --> 00:22:04,960 Speaker 1: were they that stupid like were they were they lying 402 00:22:05,600 --> 00:22:09,000 Speaker 1: just to protect Biden's reputation in the early going? Or 403 00:22:09,040 --> 00:22:11,800 Speaker 1: are they really really bad at their job, because man, 404 00:22:11,880 --> 00:22:14,399 Speaker 1: that's a lot of bad predictions from people who've spent 405 00:22:15,280 --> 00:22:17,720 Speaker 1: a lot of years in government and they all got 406 00:22:17,760 --> 00:22:20,679 Speaker 1: big credentials A lot of them came from Ivy League universities, 407 00:22:20,960 --> 00:22:23,879 Speaker 1: and so their collective wisdom could not be more wrong. 408 00:22:24,760 --> 00:22:27,840 Speaker 1: So one year ago the FED they were projecting that 409 00:22:27,920 --> 00:22:31,919 Speaker 1: inflation would recede to two point one percent by the 410 00:22:32,040 --> 00:22:34,639 Speaker 1: end of this year. They now see it at least twice. 411 00:22:34,680 --> 00:22:38,600 Speaker 1: That That's why I scoff at all their predictions. I scoff. 412 00:22:39,200 --> 00:22:43,320 Speaker 1: They don't know things. Why why do Why do we 413 00:22:43,359 --> 00:22:46,960 Speaker 1: assume that people can predict the future, the future movement 414 00:22:47,200 --> 00:22:50,240 Speaker 1: of eight billion people and what they're going to do 415 00:22:52,240 --> 00:22:55,439 Speaker 1: economic numbers. It's funny. How are we didn't expect that? 416 00:22:55,480 --> 00:22:57,000 Speaker 1: We thought it would be more, we thought it would 417 00:22:57,040 --> 00:22:59,439 Speaker 1: be less. Well, how the hell what made you think 418 00:22:59,480 --> 00:23:04,560 Speaker 1: you could expect anything? Honestly, I don't understand that. I'm 419 00:23:04,600 --> 00:23:06,600 Speaker 1: not just trying to be a jerk here. Well yeah, yeah, 420 00:23:06,800 --> 00:23:10,320 Speaker 1: but three hundred thirty billion people just in this million, 421 00:23:10,320 --> 00:23:12,440 Speaker 1: people just in this country, eight billion around the world. 422 00:23:12,680 --> 00:23:15,880 Speaker 1: What do you know just because you spent four years 423 00:23:15,880 --> 00:23:19,119 Speaker 1: at Harvard you know something about the decisions everyone's going 424 00:23:19,200 --> 00:23:23,639 Speaker 1: to make next month and next year especially, And it 425 00:23:23,720 --> 00:23:26,119 Speaker 1: had a situation that none of us ever lived through before. 426 00:23:26,560 --> 00:23:28,200 Speaker 1: I don't think there are many people left from the 427 00:23:28,240 --> 00:23:31,760 Speaker 1: Spanish flu in nineteen eighteen. But most people never had 428 00:23:31,840 --> 00:23:35,359 Speaker 1: this pandemic. Mats of government lockdown happened in their lives, 429 00:23:36,040 --> 00:23:37,800 Speaker 1: so you didn't know how they were going to come 430 00:23:37,800 --> 00:23:41,120 Speaker 1: out at the end of it. So in twenty twenty, 431 00:23:41,320 --> 00:23:44,240 Speaker 1: Trump signed off of the world three trillion dollars worth 432 00:23:44,240 --> 00:23:47,280 Speaker 1: of federal relief and that passed easily in Congress, and 433 00:23:47,320 --> 00:23:49,560 Speaker 1: the Fed tried to keep the interest rates near zero, 434 00:23:49,960 --> 00:23:52,399 Speaker 1: and they kept this going and going, but as it 435 00:23:52,480 --> 00:23:55,120 Speaker 1: turned out, by December of twenty twenty, the unemployment rate 436 00:23:55,119 --> 00:23:59,000 Speaker 1: had actually fallen to six point seven percent. It took 437 00:23:59,040 --> 00:24:01,440 Speaker 1: three years to fall to that level after the seven 438 00:24:01,480 --> 00:24:04,840 Speaker 1: o nine recession, so they should have known then to 439 00:24:05,000 --> 00:24:08,439 Speaker 1: change course a bit, but they did not. House Democrats 440 00:24:08,440 --> 00:24:11,320 Speaker 1: and made twenty twenty approved a three trillion dollars stimulus bill, 441 00:24:11,640 --> 00:24:15,360 Speaker 1: and the Biden administration when they took over, they decided 442 00:24:15,400 --> 00:24:18,880 Speaker 1: to stay on the same path of stimulating the economy 443 00:24:18,880 --> 00:24:21,800 Speaker 1: and keeping the interest rates low. And that's what led 444 00:24:21,880 --> 00:24:23,920 Speaker 1: us to this path where we are now, where there's 445 00:24:23,920 --> 00:24:26,640 Speaker 1: just too much money out there and we have high inflation. 446 00:24:27,440 --> 00:24:29,800 Speaker 1: Look at Sacramento. The reason they have one hundred billion 447 00:24:29,840 --> 00:24:33,080 Speaker 1: dollars in surplus. That was one hundred billion extra dollars 448 00:24:33,080 --> 00:24:36,600 Speaker 1: that was printed by the US government and sent to Sacramento. 449 00:24:36,680 --> 00:24:40,840 Speaker 1: And they even they have had no way to spend it. 450 00:24:41,000 --> 00:24:43,119 Speaker 1: They don't even know what to spend it on. I 451 00:24:43,200 --> 00:24:45,520 Speaker 1: told you the school districts around the country have about 452 00:24:45,560 --> 00:24:48,840 Speaker 1: one hundred and thirteen billion dollars in excess COVID funds. 453 00:24:49,480 --> 00:24:53,000 Speaker 1: They don't know what to spend it on. Because you know, 454 00:24:53,440 --> 00:24:55,879 Speaker 1: at their heart, these are idiot politicians, and all they 455 00:24:55,880 --> 00:24:58,119 Speaker 1: were thinking about was, oh, my god, if we have 456 00:24:58,200 --> 00:25:01,440 Speaker 1: high unemployment, that's going to hurt us when people vote. 457 00:25:01,720 --> 00:25:03,520 Speaker 1: So they wanted to make sure that wasn't going to happen. 458 00:25:03,600 --> 00:25:05,760 Speaker 1: And it turns out it kind of reversed itself on 459 00:25:05,880 --> 00:25:07,800 Speaker 1: its own quickly. This was not the two thousand and 460 00:25:07,840 --> 00:25:10,600 Speaker 1: seven two thousand and nine recession. But what they didn't see, 461 00:25:10,880 --> 00:25:12,600 Speaker 1: and they didn't seem to care about it now they do, 462 00:25:13,040 --> 00:25:15,439 Speaker 1: was inflation. And that's got people just as angry as 463 00:25:15,440 --> 00:25:17,680 Speaker 1: if they were unemployed. So they should all get fired 464 00:25:17,720 --> 00:25:21,000 Speaker 1: for this. Honestly, you should be able to, like, well, 465 00:25:21,440 --> 00:25:23,520 Speaker 1: we should be able to recall presidents and their entire 466 00:25:23,560 --> 00:25:28,240 Speaker 1: administrations like they do in Europe country. Yeah, exactly, like 467 00:25:28,320 --> 00:25:32,600 Speaker 1: right in the middle of term at sometimes sometimes anybody 468 00:25:32,640 --> 00:25:36,000 Speaker 1: in life, or any any set of executives, they screw 469 00:25:36,080 --> 00:25:38,879 Speaker 1: up so badly you have to go because you're incompetent, 470 00:25:39,600 --> 00:25:41,800 Speaker 1: and not so much as a punishment, not that you 471 00:25:41,800 --> 00:25:44,560 Speaker 1: can't make a mistake, but that is so wildly incompetent 472 00:25:44,880 --> 00:25:48,040 Speaker 1: that you've you've you've really sunk the nation's economy here. 473 00:25:48,440 --> 00:25:51,080 Speaker 1: And by the way, the inflation rate for on day 474 00:25:51,080 --> 00:25:53,280 Speaker 1: to day basis is so much higher than eight percent. 475 00:25:53,800 --> 00:25:56,520 Speaker 1: I was reading this last week. You know what's one 476 00:25:56,560 --> 00:26:02,320 Speaker 1: third of the inflation calculus. Shelter? All right, Rents and 477 00:26:01,920 --> 00:26:04,679 Speaker 1: and and housing to buy a house is going way up, 478 00:26:04,960 --> 00:26:08,719 Speaker 1: but most of us don't. Most of us have a 479 00:26:08,720 --> 00:26:13,000 Speaker 1: stable mortgage or have a stable lease. Right. Our increases 480 00:26:13,000 --> 00:26:16,040 Speaker 1: are coming from food and gas, and a lot of 481 00:26:16,040 --> 00:26:20,560 Speaker 1: food is up fifteen, twenty thirty percent in the different categories. 482 00:26:21,240 --> 00:26:25,280 Speaker 1: The gas has gone up, I think it's gone up 483 00:26:26,119 --> 00:26:29,160 Speaker 1: just in nationally. It's gone up from four to five 484 00:26:29,240 --> 00:26:33,199 Speaker 1: dollars since April, So that's a twenty percent increase in 485 00:26:33,240 --> 00:26:36,880 Speaker 1: gas just in two months. And those are the things 486 00:26:36,960 --> 00:26:39,399 Speaker 1: we buy every day, So that that that that the 487 00:26:39,440 --> 00:26:42,480 Speaker 1: inflation rate on a day to day living basis out 488 00:26:42,520 --> 00:26:47,240 Speaker 1: of your paycheck much higher. We got more coming out, John, 489 00:26:47,240 --> 00:26:50,399 Speaker 1: and can cafe. I did I hear you say last 490 00:26:50,440 --> 00:26:55,840 Speaker 1: week that you're going to Yellowstone? Yes, it's closed. Why 491 00:26:56,200 --> 00:27:00,800 Speaker 1: all entrances are temporarily closed flooding? You must gets flooding. 492 00:27:01,080 --> 00:27:03,120 Speaker 1: How come they get the rain and we don't have it? 493 00:27:04,200 --> 00:27:06,680 Speaker 1: They announced today the all entrances to the park are 494 00:27:06,680 --> 00:27:12,080 Speaker 1: temporarily closed to extremely hazardous conditions caused by unprecedented rainfall 495 00:27:12,280 --> 00:27:17,240 Speaker 1: and flooding. Where did the geysers go crazy? No, the 496 00:27:17,960 --> 00:27:20,600 Speaker 1: flooding causes You can see a picture of this picture. 497 00:27:20,680 --> 00:27:23,920 Speaker 1: Some of the road fell apart here. Oh wow, yeah, 498 00:27:23,960 --> 00:27:27,560 Speaker 1: just eroded from the rain. There's one person that lives 499 00:27:27,560 --> 00:27:31,280 Speaker 1: there that says they've never seen the river. This woman says, 500 00:27:31,560 --> 00:27:34,159 Speaker 1: the river has never been this high before by my house. 501 00:27:34,720 --> 00:27:37,800 Speaker 1: She's a resident of Gardener, Montana, which is north of 502 00:27:37,840 --> 00:27:41,120 Speaker 1: the park and serves as a gateway for visitors. They're 503 00:27:41,119 --> 00:27:42,720 Speaker 1: telling you, John, that if you have any plans in 504 00:27:42,760 --> 00:27:44,440 Speaker 1: the coming weeks to go to the park, you should 505 00:27:44,440 --> 00:27:48,440 Speaker 1: monitor road conditions. Well, how long is this going to last? Well, 506 00:27:48,440 --> 00:27:51,040 Speaker 1: it's the word they're putting out is temporarily. They've closed 507 00:27:51,040 --> 00:27:55,240 Speaker 1: the park entrances, but I'm not gonna go probably for 508 00:27:55,240 --> 00:27:59,160 Speaker 1: a while, Okay, next week, no, no, no, just later 509 00:27:59,200 --> 00:28:01,960 Speaker 1: in the summer sometimes. Oh, okay, it should be any 510 00:28:02,280 --> 00:28:04,920 Speaker 1: waters will recede by then. Yeah. Really, I never heard 511 00:28:04,920 --> 00:28:07,520 Speaker 1: of that. I never heard of Yellowstone close for flooding. 512 00:28:07,720 --> 00:28:09,840 Speaker 1: The National Weather Service they should a flood warning for 513 00:28:09,880 --> 00:28:12,200 Speaker 1: the park on Monday and advise campers and hikers to 514 00:28:12,240 --> 00:28:18,240 Speaker 1: avoid streams and creeks. The old turnaround don't drown. Remember 515 00:28:18,280 --> 00:28:21,040 Speaker 1: that thing that used to play when we had the 516 00:28:21,440 --> 00:28:23,840 Speaker 1: heavy rainfall that would come in and yeah, that computer. 517 00:28:26,240 --> 00:28:29,800 Speaker 1: We went to the National Parks in Utah Zion National Park. 518 00:28:29,920 --> 00:28:32,800 Speaker 1: Have you got there? Yes, I have been, and just 519 00:28:32,600 --> 00:28:34,479 Speaker 1: it's just a few days before we got there, they 520 00:28:34,480 --> 00:28:37,840 Speaker 1: had massive thunderstorms and that was flooding out the roads 521 00:28:37,840 --> 00:28:40,480 Speaker 1: and flooding out some of the hotels too. Right, But 522 00:28:40,560 --> 00:28:43,600 Speaker 1: that that's the normal cycle that they get. It's this 523 00:28:43,720 --> 00:28:46,400 Speaker 1: time of year. Uh when did we go last year? 524 00:28:46,440 --> 00:28:49,480 Speaker 1: I forget? I think we went, Yeah, late July early 525 00:28:49,480 --> 00:28:52,920 Speaker 1: August last year. Yeah, they had the monsoon thunderstorms which 526 00:28:52,920 --> 00:28:56,120 Speaker 1: they get all over Arizona and Nevada and sometimes even 527 00:28:56,200 --> 00:28:59,280 Speaker 1: in eastern California that the western US was getting no rain. 528 00:28:59,320 --> 00:29:01,160 Speaker 1: It's a big problem. It's a drought. I guess it's 529 00:29:01,160 --> 00:29:05,920 Speaker 1: not all the Western No, it's it's California primarily. I 530 00:29:05,960 --> 00:29:08,280 Speaker 1: think Arizona. Those not getting they don't used to get 531 00:29:08,280 --> 00:29:11,120 Speaker 1: a lot of rain anything. Yeah, you don't like the 532 00:29:11,240 --> 00:29:14,120 Speaker 1: different climates in northern Partis. There's plenty of places where 533 00:29:14,120 --> 00:29:17,000 Speaker 1: it rains a lot. So I don't understand the complaining. 534 00:29:17,080 --> 00:29:19,920 Speaker 1: There's nothing you can do about it from the category 535 00:29:20,000 --> 00:29:23,600 Speaker 1: of let's just give up and think of some way 536 00:29:23,680 --> 00:29:27,440 Speaker 1: we can do something about But I don't know. Vagrants 537 00:29:27,680 --> 00:29:32,640 Speaker 1: urinating in the elevators. The Massachusetts Bay Transportation Authority has 538 00:29:32,640 --> 00:29:38,120 Speaker 1: a new program to tackle public urination in the elevators 539 00:29:38,240 --> 00:29:41,680 Speaker 1: in their system and their trains and so forth subways 540 00:29:41,720 --> 00:29:47,440 Speaker 1: in Massachusetts. So they have urine detection centers that are 541 00:29:47,480 --> 00:29:52,080 Speaker 1: being placed in four downtown elevators. The censors can alert 542 00:29:52,200 --> 00:29:56,640 Speaker 1: what they call, it's our favorite term, transit ambassadors, who 543 00:29:56,640 --> 00:29:59,560 Speaker 1: can quickly dispatch a cleaning crew. So this is not 544 00:29:59,640 --> 00:30:03,960 Speaker 1: about stopping the riff raff from urinating in the elevators. 545 00:30:04,120 --> 00:30:06,000 Speaker 1: It's just you get there quicker and clean it up. 546 00:30:06,560 --> 00:30:08,840 Speaker 1: The sensors on the ceiling of an elevator have an 547 00:30:08,880 --> 00:30:12,760 Speaker 1: attached fan which can suck in the air and basically 548 00:30:12,880 --> 00:30:17,120 Speaker 1: smell what is present, and if it picks up urine, 549 00:30:17,560 --> 00:30:20,120 Speaker 1: it sends out a little alarm so that they can 550 00:30:20,200 --> 00:30:24,400 Speaker 1: quickly send over a cleaning crew to clean up the 551 00:30:24,560 --> 00:30:27,440 Speaker 1: urine in the elevator. What we have, though, is a 552 00:30:27,560 --> 00:30:33,600 Speaker 1: breakdown in cultural norms because I never remember, nearly all 553 00:30:33,680 --> 00:30:36,160 Speaker 1: my life, until you know, just a few years ago, 554 00:30:36,520 --> 00:30:39,520 Speaker 1: that there was ever a problem with people urinating in public. 555 00:30:40,160 --> 00:30:44,280 Speaker 1: It's just elevate elevator. People think elevators are like restrooms 556 00:30:44,280 --> 00:30:46,080 Speaker 1: because what the doors open, it looks like a stall. 557 00:30:46,480 --> 00:30:48,600 Speaker 1: I don't really understand. I don't know what kind of 558 00:30:48,680 --> 00:30:52,840 Speaker 1: drugs you have to be on to start spraying all 559 00:30:52,840 --> 00:30:56,720 Speaker 1: over an elevator exactly. I mean, if you're going to urinate, 560 00:30:56,800 --> 00:30:59,400 Speaker 1: urinate outside in a corner against the wall, But to 561 00:30:59,440 --> 00:31:01,960 Speaker 1: do it in an elevator is really so much. There's 562 00:31:01,960 --> 00:31:04,280 Speaker 1: so much stuff that goes on now, and it goes 563 00:31:04,320 --> 00:31:07,120 Speaker 1: on in great numbers that you just never saw or 564 00:31:07,160 --> 00:31:10,720 Speaker 1: heard about before. I'm sure people did this stuff, but 565 00:31:10,840 --> 00:31:15,760 Speaker 1: they didn't hidden somewhere golf in the woods. I don't 566 00:31:15,840 --> 00:31:20,600 Speaker 1: understand waving it all over the elevator. Apparently they did 567 00:31:20,600 --> 00:31:23,960 Speaker 1: this in Atlanta ten years ago. It's a success. The 568 00:31:24,000 --> 00:31:27,200 Speaker 1: apparently the urine detection system is working and they're getting 569 00:31:27,200 --> 00:31:29,840 Speaker 1: cleaning crews out there quickly, and they have expanded it. 570 00:31:29,920 --> 00:31:32,240 Speaker 1: Is that a good job? Uh? Well, you know what 571 00:31:32,360 --> 00:31:35,640 Speaker 1: I think about every now and then, every time maybe 572 00:31:35,640 --> 00:31:37,440 Speaker 1: I go to a mall or somewhere and I see 573 00:31:37,480 --> 00:31:40,640 Speaker 1: an escalator. You can know what I think of. Right. Oh, 574 00:31:40,800 --> 00:31:43,720 Speaker 1: the best story ever was the fact that the escalator 575 00:31:43,840 --> 00:31:45,920 Speaker 1: isn't the bart system I think it was in Oakland 576 00:31:46,400 --> 00:31:50,400 Speaker 1: were inoperable because they got feces caught in them. Yeah, 577 00:31:50,520 --> 00:31:54,280 Speaker 1: so much feces. I never even considered that. Right, there's 578 00:31:54,280 --> 00:31:58,360 Speaker 1: another an escalator. Uh enough, if you urinate in an elevator, 579 00:31:58,400 --> 00:32:00,520 Speaker 1: do you poop on an escalator? I think it's the 580 00:32:00,560 --> 00:32:04,320 Speaker 1: same guy. Yeah, it's the same guy. It's that's tricky 581 00:32:04,360 --> 00:32:08,200 Speaker 1: to pop a squat if the escalator is moving, isn't 582 00:32:08,240 --> 00:32:10,960 Speaker 1: it kind of which way to your face? It depends 583 00:32:11,000 --> 00:32:13,280 Speaker 1: on the dry Right, do you want to be going 584 00:32:13,400 --> 00:32:15,560 Speaker 1: up or down? Down? Right? I think I'd rather be 585 00:32:15,600 --> 00:32:18,480 Speaker 1: going up don't you see, right, because then then it'll 586 00:32:18,760 --> 00:32:22,480 Speaker 1: it'll splatter behind you if you're you're going down though, 587 00:32:22,480 --> 00:32:24,640 Speaker 1: you could tumble, right, if you're popping a squat and 588 00:32:24,680 --> 00:32:29,080 Speaker 1: you're trying to grunt, yes, you're good. That seems unsafe, 589 00:32:30,560 --> 00:32:34,720 Speaker 1: unhygienic for Deborah Mark. Boys love to discuss poopy. Yeah, 590 00:32:34,720 --> 00:32:37,400 Speaker 1: I know, it's just it's just something that begins. We 591 00:32:37,400 --> 00:32:40,640 Speaker 1: could go on all day here in your childhood. I 592 00:32:40,640 --> 00:32:43,360 Speaker 1: don't get it. I really don't. I don't like to 593 00:32:43,400 --> 00:32:46,240 Speaker 1: talk about poop, to be honest. Yeah, you've never brought 594 00:32:46,320 --> 00:32:49,200 Speaker 1: up any poop stories. I haven't, although I used to 595 00:32:49,200 --> 00:32:51,840 Speaker 1: read to my kids the book Everybody Poops. Oh, that 596 00:32:51,920 --> 00:32:54,720 Speaker 1: was a good book. Yeah, yeah, that's about it. Oh 597 00:32:54,760 --> 00:32:57,640 Speaker 1: would you have a good ending? I mean, was it 598 00:32:57,720 --> 00:33:01,640 Speaker 1: a pot boiler? Was it a shocker? The ending was 599 00:33:01,720 --> 00:33:06,280 Speaker 1: kind of predictable. I think the title gives it away. 600 00:33:06,480 --> 00:33:09,520 Speaker 1: And I think there was another book called Everybody Passes Gas. 601 00:33:09,840 --> 00:33:12,240 Speaker 1: Oh I missed that one. Oh I got the whole collection. 602 00:33:12,680 --> 00:33:15,920 Speaker 1: Oh I read them to myself now, right, except women 603 00:33:15,960 --> 00:33:20,920 Speaker 1: who deny its No, that's right. And I told you 604 00:33:21,040 --> 00:33:23,000 Speaker 1: that story that woman that apparently did that for too 605 00:33:23,080 --> 00:33:27,280 Speaker 1: long and she had some intestinal blow up. Right, can't 606 00:33:27,280 --> 00:33:29,040 Speaker 1: hold it in? Well, sometimes you do have to hold 607 00:33:29,040 --> 00:33:32,640 Speaker 1: it in, depending on the circumstances. I think you're right. 608 00:33:32,640 --> 00:33:35,640 Speaker 1: I think even men sometimes to abide by that rule. 609 00:33:36,800 --> 00:33:38,960 Speaker 1: All right, we got we got more coming up. John 610 00:33:39,000 --> 00:33:41,960 Speaker 1: and Ken deber Mark has news caf I am six morning. 611 00:33:42,080 --> 00:33:45,840 Speaker 1: It's never been more important to diversify your financial portfolio. Well, 612 00:33:45,840 --> 00:33:48,880 Speaker 1: that's right. 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