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 --> 00:00:16,479 Speaker 1: market volatility, and Legacy Precious Metals is the company can 6 00:00:16,480 --> 00:00:19,159 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 --> 00:00:25,840 Speaker 1: your door. Call our friends at Legacy Precious Medals today 9 00:00:26,040 --> 00:00:29,720 Speaker 1: at eight six six six nine, twenty one seventy three, 10 00:00:29,920 --> 00:00:36,080 Speaker 1: or a a visit by legacygold dot com. We need to 11 00:00:36,080 --> 00:00:38,640 Speaker 1: move our criminal justice system into the direction of the 12 00:00:38,640 --> 00:00:42,159 Speaker 1: twenty first century, and his special directives that he's enacted 13 00:00:42,200 --> 00:00:44,520 Speaker 1: has given criminals kind of a get out of jail 14 00:00:44,560 --> 00:00:47,320 Speaker 1: free cards. We need to use science and dat in 15 00:00:47,440 --> 00:00:50,519 Speaker 1: order to address public safety go violent crimes. Like his 16 00:00:50,720 --> 00:00:54,800 Speaker 1: data and science is completely flawed. Nobody's faith lost Angeles 17 00:00:54,840 --> 00:00:56,920 Speaker 1: because of a different attorney gap one. You will see 18 00:00:56,960 --> 00:01:01,840 Speaker 1: that not only have I hands public safety, I am 19 00:01:01,880 --> 00:01:06,679 Speaker 1: absolutely outraged at the lie that the gascone is feeling 20 00:01:06,840 --> 00:01:10,800 Speaker 1: he has no business implementing laws of his own personal choice, 21 00:01:10,920 --> 00:01:13,240 Speaker 1: which we voted again. We've done so in a way 22 00:01:13,280 --> 00:01:16,480 Speaker 1: that it's much more more physically and socially responsible. Not 23 00:01:16,520 --> 00:01:18,319 Speaker 1: only is he breaking the law, but he is not 24 00:01:18,440 --> 00:01:20,920 Speaker 1: feeling what he is supposed to do as a district attorney, 25 00:01:20,959 --> 00:01:23,960 Speaker 1: and that is protective victim. He is in the wrong office. 26 00:01:24,040 --> 00:01:27,160 Speaker 1: He should have been a public defender. He voted in, 27 00:01:27,240 --> 00:01:30,480 Speaker 1: he could be voted out, celebrating us going home on 28 00:01:30,560 --> 00:01:33,240 Speaker 1: his gasking direct crimes out of historic blow in the 29 00:01:33,280 --> 00:01:37,760 Speaker 1: stations and historic laws in the states. And now for 30 00:01:37,880 --> 00:01:40,880 Speaker 1: an update on the recall of La County District Attorney 31 00:01:40,880 --> 00:01:46,960 Speaker 1: George Gascon years Johnny kid Well. The latest atrocity is 32 00:01:47,000 --> 00:01:50,320 Speaker 1: the two officers of the Almonte that were killed last 33 00:01:50,440 --> 00:01:56,960 Speaker 1: night by a guy who was prosecuted one month into 34 00:01:57,040 --> 00:02:03,120 Speaker 1: Gascon's reign for gun possession and he already was on 35 00:02:03,320 --> 00:02:10,720 Speaker 1: probation and because of a gun felony, and they didn't 36 00:02:10,720 --> 00:02:15,000 Speaker 1: give any jail time. And his two victims, the cops, 37 00:02:15,040 --> 00:02:18,600 Speaker 1: Corporal Michael Parides and Officer Joseph Santana, have just been 38 00:02:19,760 --> 00:02:26,000 Speaker 1: identified and he had pleaded no contest February twenty twenty one, 39 00:02:26,040 --> 00:02:29,400 Speaker 1: that's two months after Gascon took over being a felony 40 00:02:29,400 --> 00:02:34,800 Speaker 1: in possession of a firearm, and prosecutors dismissed two other 41 00:02:35,800 --> 00:02:40,200 Speaker 1: felony charges possession of ammunition, possession of meth. In other words, 42 00:02:40,240 --> 00:02:43,360 Speaker 1: this was part of the Gascon's blanket policy and he 43 00:02:43,400 --> 00:02:48,359 Speaker 1: walked free, and yesterday he kills two cops. So the 44 00:02:48,680 --> 00:02:52,920 Speaker 1: update from the recall desk which was press release this morning, 45 00:02:53,520 --> 00:02:57,640 Speaker 1: they have reached the signature total that they need to 46 00:02:57,720 --> 00:03:01,400 Speaker 1: put this on the ballot. However, you've heard us talk 47 00:03:01,440 --> 00:03:06,440 Speaker 1: about petition collecting before five hundred and sixty six thousand, 48 00:03:06,520 --> 00:03:10,280 Speaker 1: eight hundred and fifty seven signatures are needed to get 49 00:03:10,320 --> 00:03:13,160 Speaker 1: this recall on the ballot. They have surpassed that number, 50 00:03:13,200 --> 00:03:16,360 Speaker 1: but they do need a cushion. They want to collect 51 00:03:16,440 --> 00:03:19,520 Speaker 1: all they can by June twenty fourth. The deadline to 52 00:03:19,639 --> 00:03:24,720 Speaker 1: submit all the signatures to the county Registar is July sixth. 53 00:03:25,160 --> 00:03:27,919 Speaker 1: We're going to talk about this important update and all 54 00:03:28,000 --> 00:03:30,960 Speaker 1: things dealing with the recall of George Gascon with the 55 00:03:31,000 --> 00:03:34,480 Speaker 1: Tim Leinberger now with the recall of the District Attorney 56 00:03:34,480 --> 00:03:38,480 Speaker 1: George Gascone campaign. Hey, Jen, thanks for coming on. Hey guys, 57 00:03:38,520 --> 00:03:42,040 Speaker 1: thanks so much for having me. So everyone must be 58 00:03:42,120 --> 00:03:45,119 Speaker 1: feel very excited that you hit the first milestone, which 59 00:03:45,200 --> 00:03:48,240 Speaker 1: is the number of signatures you need, but you still 60 00:03:48,480 --> 00:03:52,680 Speaker 1: need more. Yeah, that's correct, I think. Look, I was 61 00:03:52,720 --> 00:03:56,320 Speaker 1: excited earlier today when I woke up and heard about 62 00:03:56,480 --> 00:03:59,080 Speaker 1: that major threshold that we had reached, and then as 63 00:03:59,120 --> 00:04:00,920 Speaker 1: you hear more about the killing of these two El 64 00:04:01,000 --> 00:04:04,040 Speaker 1: Monte police officers, it makes it all kind of bittersweet 65 00:04:04,040 --> 00:04:06,840 Speaker 1: and just speaks to the level of urgency that we 66 00:04:06,920 --> 00:04:09,960 Speaker 1: have and actually making this happen. It's so important that 67 00:04:09,960 --> 00:04:12,440 Speaker 1: we do because we're seeing the devastating effects play out 68 00:04:12,480 --> 00:04:16,159 Speaker 1: every day, so that's obviously terrible. And then separately, we 69 00:04:16,240 --> 00:04:19,479 Speaker 1: do need to build a significant cushion over these last 70 00:04:19,520 --> 00:04:21,920 Speaker 1: two to three weeks to ensure that we still meet 71 00:04:21,960 --> 00:04:25,920 Speaker 1: that threshold, even given the signatures that will be disqualified inevitably. 72 00:04:27,480 --> 00:04:31,599 Speaker 1: And what's the goal, Well, how many? How many would 73 00:04:31,640 --> 00:04:34,320 Speaker 1: you personally feel comfortable with or would the campaign feel 74 00:04:34,320 --> 00:04:38,400 Speaker 1: comfortable with that you had before this official final submission. 75 00:04:39,320 --> 00:04:41,760 Speaker 1: I would say we're aiming for six hundred and fifty 76 00:04:41,760 --> 00:04:46,039 Speaker 1: thousand to seven hundred thousand realistically, but honestly, we'd like 77 00:04:46,080 --> 00:04:48,680 Speaker 1: to collect as many signatures as possible. It would really 78 00:04:48,720 --> 00:04:51,200 Speaker 1: suck to get to July sixth, then turn in a 79 00:04:51,200 --> 00:04:53,960 Speaker 1: giant batch of these and come up shore a thousand 80 00:04:54,040 --> 00:04:56,200 Speaker 1: or two thousand or five thousand. So that's why we're 81 00:04:56,200 --> 00:04:59,400 Speaker 1: just urging everybody to sign those petitions. If you have them, 82 00:04:59,480 --> 00:05:01,880 Speaker 1: we're actually asking people to mail them in by June 83 00:05:01,880 --> 00:05:04,480 Speaker 1: twenty fourth if you do, to ensure they don't get 84 00:05:04,520 --> 00:05:07,040 Speaker 1: caught up in the mail system, or alternatively, if you 85 00:05:07,080 --> 00:05:09,160 Speaker 1: don't have an opportunity to do that, to turn them 86 00:05:09,160 --> 00:05:12,920 Speaker 1: into a permanent signing location by June thirtieth to ensure 87 00:05:12,960 --> 00:05:14,760 Speaker 1: that we get them on time. And you can go 88 00:05:14,800 --> 00:05:18,960 Speaker 1: to the website and find out where those signing locations are. Absolutely, yeah, 89 00:05:19,000 --> 00:05:21,960 Speaker 1: there's a link on recall da George gascon dot com. 90 00:05:22,040 --> 00:05:24,680 Speaker 1: Very easy to find, and there are signing locations all 91 00:05:24,720 --> 00:05:27,480 Speaker 1: around the county, so it should be very easy for folks. 92 00:05:27,640 --> 00:05:30,440 Speaker 1: Do you think that the recall of the San Francisco 93 00:05:30,560 --> 00:05:35,880 Speaker 1: DHS aboudin is getting people a little bit motivated here? Yeah? 94 00:05:35,920 --> 00:05:39,039 Speaker 1: I think it brought a lot of additional attention to 95 00:05:39,080 --> 00:05:41,920 Speaker 1: this effort and really told people that this was doable. 96 00:05:42,279 --> 00:05:44,800 Speaker 1: And I think it essentially said that the writing on 97 00:05:44,839 --> 00:05:46,760 Speaker 1: the wall is on the wall for what could happen 98 00:05:46,839 --> 00:05:49,840 Speaker 1: to George Gascon if we qualify this effort, So for 99 00:05:49,880 --> 00:05:52,120 Speaker 1: everybody to see that happen makes it a lot more 100 00:05:52,160 --> 00:05:54,680 Speaker 1: real here. And we know that, you know, if we 101 00:05:54,800 --> 00:05:57,400 Speaker 1: just reached this very high threshold of the five hundred 102 00:05:57,400 --> 00:06:01,160 Speaker 1: and sixty six thousand validated signature, that if we do that, 103 00:06:01,360 --> 00:06:04,440 Speaker 1: he will get recalled in the landslide. Gascon is extremely 104 00:06:04,520 --> 00:06:09,240 Speaker 1: unpopular here. His favorability is completely underwater, and every day 105 00:06:09,440 --> 00:06:11,680 Speaker 1: you're seeing more and more of the impact of his policy. 106 00:06:11,800 --> 00:06:14,279 Speaker 1: So this is simply a matter of getting people to 107 00:06:14,320 --> 00:06:16,560 Speaker 1: send in those petitions at this point. Yeah, I mean, 108 00:06:16,560 --> 00:06:18,840 Speaker 1: the problem can be that most people don't really focus 109 00:06:18,880 --> 00:06:21,800 Speaker 1: on or think about County DA the way they would 110 00:06:21,800 --> 00:06:25,120 Speaker 1: a mayor or some other even the sheriff. So it's 111 00:06:25,200 --> 00:06:27,440 Speaker 1: tough to get people to focus on. But this is 112 00:06:27,480 --> 00:06:30,200 Speaker 1: so important to the criminal justice system. Somebody like this 113 00:06:30,600 --> 00:06:33,280 Speaker 1: with this kind of power, who's nothing but a public defender. 114 00:06:34,040 --> 00:06:36,480 Speaker 1: This apparently is the most signatures ever collected in Los 115 00:06:36,480 --> 00:06:40,400 Speaker 1: Angeles County for any petition. Yeah, that's my understanding. It 116 00:06:40,400 --> 00:06:43,400 Speaker 1: actually maybe the most signatures ever collected in the United 117 00:06:44,040 --> 00:06:48,680 Speaker 1: United States history, notwithstanding the two California gubernatorial recalls. I 118 00:06:48,720 --> 00:06:52,040 Speaker 1: haven't heard otherwise to that claim, So it is a 119 00:06:52,080 --> 00:06:55,200 Speaker 1: significant threshold. And also, as I was mentioning to John 120 00:06:55,320 --> 00:06:58,080 Speaker 1: last week, only about fourteen and a half percent or 121 00:06:58,120 --> 00:07:00,520 Speaker 1: maybe a little more now of LA County vote turned 122 00:07:00,520 --> 00:07:03,719 Speaker 1: out for the primary election, so we have to actually 123 00:07:03,760 --> 00:07:06,600 Speaker 1: collect ten percent of registered voters to qualify this. So 124 00:07:06,600 --> 00:07:09,080 Speaker 1: it just speaks to how big of a task it is. 125 00:07:09,800 --> 00:07:13,000 Speaker 1: But that's why we're so close right now. We're literally 126 00:07:13,000 --> 00:07:15,040 Speaker 1: telling people take off work if you can do whatever 127 00:07:15,120 --> 00:07:17,160 Speaker 1: you can to help us get these signatures, because if 128 00:07:17,160 --> 00:07:20,000 Speaker 1: we do gone, what kind of internal validation have you 129 00:07:20,120 --> 00:07:22,920 Speaker 1: done to hope that you can get to most of 130 00:07:22,920 --> 00:07:26,720 Speaker 1: these signatures approved by the county registrar. Yeah, so we 131 00:07:26,760 --> 00:07:30,480 Speaker 1: have an ongoing process for just verifying internally. We've actually 132 00:07:30,480 --> 00:07:32,920 Speaker 1: had to bring on another firm to help us with 133 00:07:32,960 --> 00:07:35,360 Speaker 1: that as we've gotten such a huge influx of mail. 134 00:07:35,640 --> 00:07:38,840 Speaker 1: I can say that we've received almost thirty thousand petitions 135 00:07:38,920 --> 00:07:41,920 Speaker 1: via mail over the last few days alone, So we're 136 00:07:41,920 --> 00:07:44,040 Speaker 1: doing that in real time as fast as we can. 137 00:07:44,480 --> 00:07:47,480 Speaker 1: Some of those batches that are verifying at over ninety 138 00:07:47,480 --> 00:07:51,600 Speaker 1: percent rate, which is really really good. Obviously that's not 139 00:07:51,640 --> 00:07:53,440 Speaker 1: every batch, so We're going to continue to do that 140 00:07:53,640 --> 00:07:55,800 Speaker 1: through the end here so we can know exactly where 141 00:07:55,840 --> 00:07:59,440 Speaker 1: we need to be, and we're just hoping and optimistic, 142 00:07:59,520 --> 00:08:01,440 Speaker 1: you know that any of those are good, but based 143 00:08:01,480 --> 00:08:05,440 Speaker 1: on our projections, we think that the additional six hundred 144 00:08:05,520 --> 00:08:08,000 Speaker 1: fifty to seven hundred thousand total signatures would likely get 145 00:08:08,040 --> 00:08:10,240 Speaker 1: us there. Yeah. One of the things you did, which 146 00:08:10,280 --> 00:08:11,840 Speaker 1: I think is great, I don't know if it's proving 147 00:08:11,880 --> 00:08:14,520 Speaker 1: to be a part of the results. Your mail petitions 148 00:08:14,520 --> 00:08:17,560 Speaker 1: to every register voters home. I got one. How did 149 00:08:17,560 --> 00:08:20,320 Speaker 1: you get a good return on that so far? Yeah, 150 00:08:20,360 --> 00:08:23,720 Speaker 1: So we mailed those towards the end of April, and 151 00:08:24,040 --> 00:08:26,240 Speaker 1: really it takes a little bit of time for them 152 00:08:26,240 --> 00:08:28,440 Speaker 1: to get printed, to get out to people, and then 153 00:08:28,480 --> 00:08:31,480 Speaker 1: to get returned back to us. We saw some posts 154 00:08:31,520 --> 00:08:34,040 Speaker 1: stamps that actually showed they were mailed a few weeks before, 155 00:08:34,559 --> 00:08:37,560 Speaker 1: and really over the last probably two weeks, we've seen 156 00:08:37,600 --> 00:08:40,439 Speaker 1: a real, real uptick in mail and we're hoping that 157 00:08:40,640 --> 00:08:43,480 Speaker 1: continues and remains steady from here through July sixth. But 158 00:08:43,559 --> 00:08:45,920 Speaker 1: like I said, thirty thousand over the last few days 159 00:08:46,000 --> 00:08:50,240 Speaker 1: was very, very significant, and if that even remotely remains 160 00:08:50,240 --> 00:08:53,040 Speaker 1: at a similar rate, we think will be in good shape. 161 00:08:53,040 --> 00:08:55,720 Speaker 1: And that's in addition to the paid signature gathering that 162 00:08:55,760 --> 00:08:58,080 Speaker 1: will be ongoing through July six, as well as of 163 00:08:58,360 --> 00:09:00,719 Speaker 1: volunteer signature. Is that thirty thousand included in the five 164 00:09:00,800 --> 00:09:03,680 Speaker 1: hundred and sixty six thousand announce today, right, Yeah, that's 165 00:09:03,720 --> 00:09:07,080 Speaker 1: part of it. Yeah, if this is on the ballot, 166 00:09:07,120 --> 00:09:09,960 Speaker 1: it's going to be a November I mean, obviously there's 167 00:09:09,960 --> 00:09:12,720 Speaker 1: going to be more people voting. It's not a presidential year, 168 00:09:12,760 --> 00:09:15,719 Speaker 1: but it is a governor's race and Congress and all that. 169 00:09:15,800 --> 00:09:18,880 Speaker 1: So well, how do you think that bodes Yeah, Actually, 170 00:09:18,960 --> 00:09:23,000 Speaker 1: it will likely be a special election in probably December 171 00:09:23,080 --> 00:09:25,959 Speaker 1: or January. Just given the amount of time it will 172 00:09:26,000 --> 00:09:28,360 Speaker 1: take for the register to go through their process, we 173 00:09:28,400 --> 00:09:30,560 Speaker 1: would have had to have turned them in a bit 174 00:09:30,600 --> 00:09:34,080 Speaker 1: earlier or probably right around now to make it for 175 00:09:34,120 --> 00:09:37,880 Speaker 1: the November ballot. But in the end, we think his 176 00:09:37,960 --> 00:09:41,560 Speaker 1: recall is inevitable regardless of when that election would occur. 177 00:09:42,520 --> 00:09:45,000 Speaker 1: All right, Tim, thanks for talking to us. We appreciate it, Yes, 178 00:09:45,040 --> 00:09:47,240 Speaker 1: and I hope we talk with you again soon with 179 00:09:47,320 --> 00:09:50,520 Speaker 1: the final total and that it's even a much bigger number. 180 00:09:51,320 --> 00:09:53,000 Speaker 1: Of course, Thank you both so much for your help 181 00:09:53,840 --> 00:09:57,600 Speaker 1: all right, it's Tim Leinberger Recall District Attorney George gascone 182 00:09:57,640 --> 00:10:01,640 Speaker 1: dot com. They're big news released day that they have 183 00:10:02,360 --> 00:10:05,880 Speaker 1: surpassed the required number of signatures to put the recall 184 00:10:05,920 --> 00:10:08,240 Speaker 1: on the ballot. But of course they need a big 185 00:10:08,280 --> 00:10:10,560 Speaker 1: cushion with a few weeks left to go in signature 186 00:10:10,559 --> 00:10:15,480 Speaker 1: collecting recall DA George gascon dot com. And just to 187 00:10:15,960 --> 00:10:19,120 Speaker 1: review this again, justin Flores who killed the two cops. 188 00:10:19,720 --> 00:10:22,520 Speaker 1: He was convicted of a felon because of a twenty 189 00:10:22,559 --> 00:10:25,199 Speaker 1: eleven conviction for burglary and he got a two year 190 00:10:25,320 --> 00:10:28,760 Speaker 1: term in state prison. And then over the last ten 191 00:10:28,880 --> 00:10:33,559 Speaker 1: years he'd been prosecuted twelve times, but he never got 192 00:10:33,600 --> 00:10:37,040 Speaker 1: any more jail time. Out of that, either the charges 193 00:10:37,080 --> 00:10:41,119 Speaker 1: would be dismissed or they would he would get probation. 194 00:10:42,040 --> 00:10:45,439 Speaker 1: And then in March of twenty twenty, he was arrested 195 00:10:45,520 --> 00:10:48,480 Speaker 1: for being in possession of a firearm. Again, that's a felony, 196 00:10:48,640 --> 00:10:52,600 Speaker 1: a felon in possession of a firearm. Prosecutors dismissed two 197 00:10:52,600 --> 00:10:56,240 Speaker 1: other counts in addition to agreeing to the plea bargain 198 00:10:57,320 --> 00:11:01,240 Speaker 1: felon in possession of ammunition, felon in possess sham amphetamine. 199 00:11:01,240 --> 00:11:03,520 Speaker 1: So he only gets a conviction on possession of a 200 00:11:03,559 --> 00:11:06,760 Speaker 1: firearm that is a felony. Though he should have gone 201 00:11:06,800 --> 00:11:12,040 Speaker 1: back to prison, Gascone did not send him to prison 202 00:11:12,040 --> 00:11:14,920 Speaker 1: as part of the plea deal. This twenty eleven is 203 00:11:14,920 --> 00:11:17,120 Speaker 1: the year they started all this with the prisoner Dumping 204 00:11:17,120 --> 00:11:19,000 Speaker 1: Bill eight p. One o nine. This guy just timed 205 00:11:19,320 --> 00:11:21,360 Speaker 1: himself perfectly over the last ten years or so with 206 00:11:21,400 --> 00:11:23,520 Speaker 1: a lot of his arrests, because that's when they just 207 00:11:23,520 --> 00:11:27,920 Speaker 1: started softening everything up. A dozen other prosecutions, a lot 208 00:11:27,960 --> 00:11:30,079 Speaker 1: of them are resolved with no contest please, and a 209 00:11:30,120 --> 00:11:33,000 Speaker 1: no contest please, like a guilty plea. He got probationary 210 00:11:33,000 --> 00:11:37,240 Speaker 1: sentences over and over. And this is just this is 211 00:11:37,240 --> 00:11:39,120 Speaker 1: this guy. That's how you end up with two dead cops. 212 00:11:39,640 --> 00:11:42,920 Speaker 1: You got a guy who commits He's thirty five years old. 213 00:11:43,480 --> 00:11:46,600 Speaker 1: He has been committing felonies on the record that we 214 00:11:46,679 --> 00:11:50,840 Speaker 1: know of since he was twenty four, and god knows 215 00:11:50,920 --> 00:11:53,920 Speaker 1: what he did since he was a teenager. This has 216 00:11:53,960 --> 00:11:57,360 Speaker 1: been his life, a violent felon, whacked out on drugs. 217 00:11:58,120 --> 00:12:01,080 Speaker 1: All right, we're coming up, John and Ken Cafine. We'll 218 00:12:01,120 --> 00:12:05,040 Speaker 1: have more on the shooting and the death of the 219 00:12:05,040 --> 00:12:07,720 Speaker 1: two police officers in Almani. Later on the show, the 220 00:12:07,880 --> 00:12:11,719 Speaker 1: Sheriff of Los Angeles County, alex Vieneueva, will join us 221 00:12:12,200 --> 00:12:15,720 Speaker 1: at five oh five. As John mentioned before, they have 222 00:12:16,440 --> 00:12:21,600 Speaker 1: released the names of the two officers who died, Joseph Santana, 223 00:12:22,040 --> 00:12:25,520 Speaker 1: an officer and a corporal by of Michael Parades at 224 00:12:25,559 --> 00:12:30,319 Speaker 1: that motel yesterday afternoon, shot to death by a felon 225 00:12:31,000 --> 00:12:33,840 Speaker 1: who has already been charged with possession of a firearm 226 00:12:33,880 --> 00:12:37,199 Speaker 1: but got probation for it justin William Floris. In fact, 227 00:12:37,840 --> 00:12:41,760 Speaker 1: his own family released his photo. Been admitted that, yeah, 228 00:12:41,960 --> 00:12:44,199 Speaker 1: we talked to the wife he separated from the wife 229 00:12:44,240 --> 00:12:45,679 Speaker 1: who was at the motel and said, oh, yeah, they 230 00:12:45,720 --> 00:12:48,800 Speaker 1: killed him. Oh kind of this guy had problem with 231 00:12:48,920 --> 00:12:52,480 Speaker 1: math and with guns and burglary. Yeah, his mother had 232 00:12:52,520 --> 00:12:56,360 Speaker 1: some winning quotes. Did you see that? No, Oh, Jesus, 233 00:12:56,640 --> 00:13:00,320 Speaker 1: let me see if I could. Oh yeah, yeah, her 234 00:13:00,400 --> 00:13:04,080 Speaker 1: name is kind of looks like Coronavirus, but it's not 235 00:13:04,640 --> 00:13:11,080 Speaker 1: Lynn Cavar Rubius, and Cavar Rubius is her name. And 236 00:13:11,520 --> 00:13:14,920 Speaker 1: she said, well, at first she didn't believe that her 237 00:13:14,920 --> 00:13:17,520 Speaker 1: son was dead, even even the pictures they showed me 238 00:13:17,559 --> 00:13:19,280 Speaker 1: and my son lying on the ground. I just thought, 239 00:13:19,320 --> 00:13:22,960 Speaker 1: take him to the hospital. You can save him. She 240 00:13:23,120 --> 00:13:26,560 Speaker 1: thinks it's rude for police to call her son a coward. 241 00:13:27,360 --> 00:13:30,560 Speaker 1: It hurts to hear them say that he was a 242 00:13:30,600 --> 00:13:35,440 Speaker 1: person too. He had a daughter, Lady, your son murdered 243 00:13:35,440 --> 00:13:41,680 Speaker 1: two police officers. Mothers are often blind to their children blind. 244 00:13:43,000 --> 00:13:45,679 Speaker 1: Here's what Karubius said of her son. I want to 245 00:13:45,720 --> 00:13:48,720 Speaker 1: know that, in spite of what happened, he was loving 246 00:13:48,800 --> 00:13:53,480 Speaker 1: and caring, Loving and caring he'd been he was having 247 00:13:53,480 --> 00:13:55,719 Speaker 1: a bad day, John. Can you understand that he'd been 248 00:13:55,760 --> 00:14:02,040 Speaker 1: prosecuted about fourteen times in the last ten years. I 249 00:14:02,040 --> 00:14:05,320 Speaker 1: don't think she hung out with them much, but they 250 00:14:05,640 --> 00:14:10,480 Speaker 1: just read this morning's arrest record. Where do you think 251 00:14:10,520 --> 00:14:15,440 Speaker 1: he was when he disappeared for two years in prison? Why? 252 00:14:15,480 --> 00:14:19,200 Speaker 1: It's a nice sensitivity towards the cops and their families too. Huh. 253 00:14:19,520 --> 00:14:21,640 Speaker 1: How'd you like to be the widow of the cops 254 00:14:21,640 --> 00:14:25,800 Speaker 1: and reading what mom says, nice and caring person, Sorry 255 00:14:25,840 --> 00:14:29,240 Speaker 1: about the bullet that killed your husband. Geez, they had 256 00:14:29,240 --> 00:14:32,840 Speaker 1: to put her away too. The inflation news today, the 257 00:14:32,840 --> 00:14:37,400 Speaker 1: Fed did raise the interest rates three quarters of a 258 00:14:37,520 --> 00:14:42,680 Speaker 1: percentage point. That's the biggest hike since nineteen ninety four. 259 00:14:44,560 --> 00:14:47,040 Speaker 1: Some may say they've just waited too long before they've 260 00:14:47,080 --> 00:14:51,280 Speaker 1: done this. The problem with that and they always wonder 261 00:14:51,360 --> 00:14:53,960 Speaker 1: if they acted too late, But now maybe they've gone 262 00:14:54,000 --> 00:14:57,800 Speaker 1: too far. It's already having an effect on the housing market. 263 00:14:58,520 --> 00:15:01,080 Speaker 1: There are a couple of real estate gridge A companies 264 00:15:01,080 --> 00:15:04,200 Speaker 1: that are already laying off people. Redfinn and Compass nine 265 00:15:04,240 --> 00:15:07,960 Speaker 1: hundred and twenty employees are being laid off because with 266 00:15:08,000 --> 00:15:11,720 Speaker 1: this rise in the interest rates, market's going to dampen 267 00:15:11,840 --> 00:15:16,480 Speaker 1: people's Yeah, mortgage applications dropped by half in a week, 268 00:15:16,960 --> 00:15:19,440 Speaker 1: in a week, well, dropped by half compared to your 269 00:15:19,520 --> 00:15:21,760 Speaker 1: year ago, a year ago. Yeah, but most of it 270 00:15:21,800 --> 00:15:23,880 Speaker 1: has been in the last few weeks. I had already 271 00:15:23,920 --> 00:15:26,320 Speaker 1: seen in the past few weeks the housing price because 272 00:15:26,320 --> 00:15:28,040 Speaker 1: they did raise the rates a little bit back, not 273 00:15:28,120 --> 00:15:30,400 Speaker 1: by much, but I had already seen that there was 274 00:15:30,440 --> 00:15:34,320 Speaker 1: a real drop in in the you know, housing demand 275 00:15:34,320 --> 00:15:37,480 Speaker 1: and people looking for homes. So the average rate for 276 00:15:37,520 --> 00:15:40,720 Speaker 1: a thirty year fixed mortgage reached five point two percent 277 00:15:41,400 --> 00:15:46,400 Speaker 1: last week. It's up to five point six five percent. Yeah, 278 00:15:46,440 --> 00:15:48,680 Speaker 1: the rate was up three point two percentage points from 279 00:15:48,720 --> 00:15:50,920 Speaker 1: the beginning of the year, and then the Tuesday rate 280 00:15:50,960 --> 00:15:54,560 Speaker 1: was six point two eight, like it's going up significantly 281 00:15:54,600 --> 00:15:57,720 Speaker 1: every day now it's five percent. When it did for 282 00:15:57,720 --> 00:16:00,520 Speaker 1: the first time since twenty eleven, right, which is when 283 00:16:00,560 --> 00:16:03,080 Speaker 1: we were coming out of that last big housing smash. 284 00:16:03,160 --> 00:16:07,520 Speaker 1: That'll that'll stop the housing market dead, which is, you know, 285 00:16:07,760 --> 00:16:09,600 Speaker 1: a good thing for a lot of people, because the 286 00:16:09,640 --> 00:16:13,440 Speaker 1: prices are spending out of control. When you do this 287 00:16:13,600 --> 00:16:17,120 Speaker 1: and you don't want to set off a recession, suddenly 288 00:16:17,800 --> 00:16:21,560 Speaker 1: no one's buying homes, and that can domino into other 289 00:16:21,640 --> 00:16:24,920 Speaker 1: problems with the economy. I've already read too that retail 290 00:16:25,000 --> 00:16:27,440 Speaker 1: sales are starting to dwindle. That's a bit of a 291 00:16:27,520 --> 00:16:30,000 Speaker 1: reaction to the inflation, not so much the interest rates, 292 00:16:30,000 --> 00:16:32,560 Speaker 1: but also a lot of people use credit cards and 293 00:16:32,680 --> 00:16:36,720 Speaker 1: pay you know, credit card borrowing rates, so that they 294 00:16:36,800 --> 00:16:40,880 Speaker 1: diminish their appetite for buying. I also read that some 295 00:16:40,920 --> 00:16:44,160 Speaker 1: people are digging into their savings because of the inflation problem. 296 00:16:44,760 --> 00:16:47,640 Speaker 1: It has to happen. It was way too much of 297 00:16:47,640 --> 00:16:50,600 Speaker 1: a boom, so there's got to be a big correction now. 298 00:16:51,000 --> 00:16:55,600 Speaker 1: You can't beat math. I get very irritated when people 299 00:16:55,800 --> 00:16:59,440 Speaker 1: hype because they think that the laws of physics or 300 00:16:59,600 --> 00:17:04,240 Speaker 1: laws maths suddenly get repealed. You can't have stock markets 301 00:17:04,240 --> 00:17:07,639 Speaker 1: that go crazy like this forever because you end up 302 00:17:07,680 --> 00:17:10,960 Speaker 1: with stocks that are are far more than the companies 303 00:17:10,960 --> 00:17:14,119 Speaker 1: are worth because they simply don't make that much money. 304 00:17:14,160 --> 00:17:16,960 Speaker 1: They don't have those kind of profits. So that stock 305 00:17:16,960 --> 00:17:19,720 Speaker 1: price just cannot last unless you have a bunch of 306 00:17:19,760 --> 00:17:23,879 Speaker 1: hypsters who keep driving it up. Yeah. I'm looking at 307 00:17:23,920 --> 00:17:27,400 Speaker 1: the fed's actions since twenty seventeen. You know, they they 308 00:17:27,480 --> 00:17:31,280 Speaker 1: raised the rates a lot back in twenty seventeen, twenty sixteen, 309 00:17:31,760 --> 00:17:36,040 Speaker 1: but not by much. And then beginning in twenty nineteen, 310 00:17:36,080 --> 00:17:38,680 Speaker 1: and of course in twenty twenty, with the pandemic, they 311 00:17:38,680 --> 00:17:41,960 Speaker 1: were lowering the rates. Everyone was afraid the economy was 312 00:17:42,000 --> 00:17:45,760 Speaker 1: gonna just crash to the lockdowns. The main overnight interest 313 00:17:45,840 --> 00:17:50,360 Speaker 1: rate they had at zero, Yeah they did. Yeah, so 314 00:17:50,920 --> 00:17:54,760 Speaker 1: these are still low by historical standards. All during the 315 00:17:54,880 --> 00:17:57,720 Speaker 1: last in huge inflation run back in the late seventies 316 00:17:57,720 --> 00:18:02,360 Speaker 1: early eighties, interest rates we're in the twenty n all right, 317 00:18:02,400 --> 00:18:05,399 Speaker 1: when we come back. I didn't expect the story to 318 00:18:05,400 --> 00:18:08,480 Speaker 1: come from this city. It's a California city that's got 319 00:18:08,520 --> 00:18:14,320 Speaker 1: a mayor that's decided to yeah, arrest people for homeless encampments. 320 00:18:14,960 --> 00:18:16,840 Speaker 1: Find out who it is and where it is and 321 00:18:17,000 --> 00:18:19,320 Speaker 1: how it's going. Coming up next, John and Ken Show. 322 00:18:19,440 --> 00:18:23,080 Speaker 1: Are we doing Alex bye bye? Oh, that's right, we are. 323 00:18:23,119 --> 00:18:27,440 Speaker 1: He's coming up next about the recall. No, about the 324 00:18:27,560 --> 00:18:30,480 Speaker 1: Tesla the automated driver I forgot, Yes, that's right, all right, 325 00:18:30,480 --> 00:18:32,840 Speaker 1: we'll do the homeless story later. Okay, all right. A 326 00:18:32,880 --> 00:18:38,840 Speaker 1: lot of these automatic driving cars are getting involved in accidents. 327 00:18:39,000 --> 00:18:41,240 Speaker 1: We'll talk to Alex Stone from ABC News in just 328 00:18:41,320 --> 00:18:43,720 Speaker 1: a few minutes about that. Well, we'll talk about Joe 329 00:18:43,760 --> 00:18:46,719 Speaker 1: Biden's warning to the oil companies. He sent out letters. 330 00:18:47,119 --> 00:18:50,120 Speaker 1: He's really worked up that he may use emergency actions 331 00:18:50,960 --> 00:18:54,120 Speaker 1: to get more production and to curb those profits. We'll 332 00:18:54,160 --> 00:18:57,199 Speaker 1: talk about it after four o'clock with a representative from 333 00:18:57,200 --> 00:18:59,359 Speaker 1: the oil industry here on the Johnny Ken. He may 334 00:18:59,400 --> 00:19:05,600 Speaker 1: be aware of that Tesla has a autopilot and full 335 00:19:05,680 --> 00:19:10,600 Speaker 1: self driving mode. Um. This this is where you can 336 00:19:10,680 --> 00:19:14,080 Speaker 1: just sit there and watch the world go by and 337 00:19:14,119 --> 00:19:18,520 Speaker 1: the car drives itself. And other companies also have uh, 338 00:19:19,400 --> 00:19:24,720 Speaker 1: like I guess what is it called? Assisted? The driver 339 00:19:24,800 --> 00:19:30,920 Speaker 1: assistance technologies. That's the term for GMBMW volks Kind. Yeah. 340 00:19:31,080 --> 00:19:33,400 Speaker 1: Well anyway, uh, in ten months, there have been close 341 00:19:33,440 --> 00:19:38,080 Speaker 1: to four hundred crashes in the US involving these automatic 342 00:19:38,440 --> 00:19:43,080 Speaker 1: driving technology or the driver assist technology, and seventy percent 343 00:19:43,119 --> 00:19:45,760 Speaker 1: of him were from Tesla. Well, yeah, they have the 344 00:19:45,760 --> 00:19:48,640 Speaker 1: most advanced system, right those companies. So I was even 345 00:19:48,720 --> 00:19:51,119 Speaker 1: aware that there was much with Honda was mentioned in 346 00:19:51,160 --> 00:19:53,879 Speaker 1: this story. I don't know what they have, it's nothing 347 00:19:54,840 --> 00:19:58,359 Speaker 1: has been involved in ninety accidents. They were must have 348 00:19:58,440 --> 00:20:01,720 Speaker 1: something that puts the car some kind of automated mode. 349 00:20:01,960 --> 00:20:04,879 Speaker 1: They were number two. So to give us more detail 350 00:20:04,920 --> 00:20:10,359 Speaker 1: on this, Alex Stone with ABC News, Alex, Hello, gentlemen. So, yeah, 351 00:20:10,359 --> 00:20:14,240 Speaker 1: this said data today National Highway Traffic Safety Administration that 352 00:20:14,280 --> 00:20:16,920 Speaker 1: they put out first time we've ever seen anything like this. 353 00:20:17,000 --> 00:20:21,560 Speaker 1: They've never put out data on crashes overall. But the 354 00:20:21,640 --> 00:20:26,639 Speaker 1: issue being that the automakers and even the NTSB and others, 355 00:20:26,840 --> 00:20:30,040 Speaker 1: they're saying this data is one big lump of raw data, 356 00:20:30,200 --> 00:20:33,880 Speaker 1: and that Honda doesn't have what Tesla has, Tesla doesn't 357 00:20:33,920 --> 00:20:37,320 Speaker 1: have what Toyota has, that it's it's not Apple sables, 358 00:20:37,760 --> 00:20:41,280 Speaker 1: and that maybe Tesla is higher because they've got more 359 00:20:41,359 --> 00:20:44,960 Speaker 1: vehicles out there. Maybe they report more data because they 360 00:20:44,960 --> 00:20:47,879 Speaker 1: have automatic reporting when you're in a crash that they 361 00:20:47,960 --> 00:20:49,920 Speaker 1: get their hands on and they know a lot more. 362 00:20:50,760 --> 00:20:53,160 Speaker 1: It could be any number of things. So they're all 363 00:20:53,200 --> 00:20:56,640 Speaker 1: saying this data doesn't mean a lot yet because it's 364 00:20:56,680 --> 00:21:00,000 Speaker 1: just raw data that's out there and now they've got 365 00:21:00,160 --> 00:21:02,399 Speaker 1: to figure it out and then what it relates to 366 00:21:02,520 --> 00:21:06,720 Speaker 1: and pick it apart. But safety advocates and lawmakers are 367 00:21:06,800 --> 00:21:09,720 Speaker 1: jumping on it, saying, well, it does show that you 368 00:21:09,760 --> 00:21:11,960 Speaker 1: can't flip the switch or hit that iPad in the 369 00:21:12,000 --> 00:21:14,160 Speaker 1: middle of your Tesla and go to sleep or watch 370 00:21:14,280 --> 00:21:17,000 Speaker 1: Netflix on it like we know people have been doing. 371 00:21:17,359 --> 00:21:21,080 Speaker 1: By the way, Tesla even says it is not autonomous. 372 00:21:21,240 --> 00:21:23,879 Speaker 1: That you got to be in control of the vehicle. 373 00:21:23,920 --> 00:21:25,600 Speaker 1: That's why you gotta have your hand on the steering 374 00:21:25,640 --> 00:21:27,199 Speaker 1: wheel or you figure it out how to put your 375 00:21:27,240 --> 00:21:31,480 Speaker 1: knee on it so you're not actually to get around that. Yes. Yeah, 376 00:21:31,560 --> 00:21:33,280 Speaker 1: I had a rental car a couple of weeks ago. 377 00:21:33,440 --> 00:21:35,440 Speaker 1: I think it was a Nissan, and it would keep 378 00:21:35,480 --> 00:21:37,879 Speaker 1: the lane for you on the highway and turn for 379 00:21:38,000 --> 00:21:39,960 Speaker 1: you on the highway and everything else, speed up, slow down. 380 00:21:40,080 --> 00:21:41,920 Speaker 1: I quickly figured out I don't have to keep my 381 00:21:41,960 --> 00:21:43,600 Speaker 1: hand on here every time it warns me. Just put 382 00:21:43,600 --> 00:21:45,080 Speaker 1: that knee up there and you can kind of sit 383 00:21:45,160 --> 00:21:48,760 Speaker 1: back and you know, and so you push it to 384 00:21:48,800 --> 00:21:50,960 Speaker 1: figure out how far it can go to make you 385 00:21:51,000 --> 00:21:53,800 Speaker 1: the most comfortable, and that's when you get into trouble. 386 00:21:53,840 --> 00:21:57,119 Speaker 1: And the Connecticut Center Richard Blumenthal, he's responding to this today, 387 00:21:57,160 --> 00:22:01,680 Speaker 1: saying we need legislation so Tesla's and Hondas and all 388 00:22:01,680 --> 00:22:04,280 Speaker 1: of the different companies cannot go out there and just 389 00:22:04,520 --> 00:22:07,399 Speaker 1: use us as test dummies to figure out what works 390 00:22:07,400 --> 00:22:11,440 Speaker 1: and doesn't work. What's been released today is certainly a 391 00:22:11,600 --> 00:22:17,240 Speaker 1: cause for deep alarm. In fact, it is a ringing 392 00:22:17,320 --> 00:22:22,119 Speaker 1: alarm bell, affirming many of the warnings that we've made 393 00:22:22,160 --> 00:22:24,080 Speaker 1: over the years. Yeah, he says, even if it is 394 00:22:24,240 --> 00:22:26,879 Speaker 1: not autonomous technology and they're telling you you've got to 395 00:22:26,960 --> 00:22:30,600 Speaker 1: keep driving that the name autopilot, it makes you think 396 00:22:30,600 --> 00:22:32,879 Speaker 1: you're a pilot. You're living in a flip that switch 397 00:22:32,960 --> 00:22:36,080 Speaker 1: and that's gonna do everything for it certainly tempts you. 398 00:22:36,720 --> 00:22:40,480 Speaker 1: You know, even if Tesla gives a warning on paper, 399 00:22:41,000 --> 00:22:43,440 Speaker 1: as if people read them right, the name of it, 400 00:22:43,520 --> 00:22:45,440 Speaker 1: you know what people are doing. But in that ten 401 00:22:45,480 --> 00:22:50,040 Speaker 1: month period, six people died, again primarily in Tesla's more 402 00:22:50,080 --> 00:22:52,920 Speaker 1: we're seriously injured. And now they're going to begin doing 403 00:22:52,960 --> 00:22:57,119 Speaker 1: this reporting every month to lay out what the numbers 404 00:22:57,119 --> 00:22:59,080 Speaker 1: are looking like, and they do have to go through 405 00:22:59,119 --> 00:23:01,159 Speaker 1: it and try to figure it out. But again, of 406 00:23:01,240 --> 00:23:04,200 Speaker 1: those numbers are the four hundred that they tallied, seventy 407 00:23:04,240 --> 00:23:06,840 Speaker 1: percent we're in Tesla, so that's the focus of it. 408 00:23:07,160 --> 00:23:10,560 Speaker 1: Tesla stands behind their autopilots saying it you're not supposed 409 00:23:10,600 --> 00:23:12,960 Speaker 1: to be asleep or anything else, and it works the 410 00:23:13,000 --> 00:23:16,960 Speaker 1: way it's supposed to work. But again the lawmakers are saying, yeah, 411 00:23:17,080 --> 00:23:20,359 Speaker 1: but the car companies can kind of come up with 412 00:23:20,400 --> 00:23:22,760 Speaker 1: whatever they want, put it out there, and if they 413 00:23:22,800 --> 00:23:25,160 Speaker 1: think it's good to go then But then again, if 414 00:23:25,160 --> 00:23:27,800 Speaker 1: you don't put it on in the real world, you 415 00:23:27,920 --> 00:23:32,080 Speaker 1: can test all you want on fake streets in Michigan 416 00:23:32,160 --> 00:23:33,600 Speaker 1: or wherever else. You're going to do it up in 417 00:23:33,640 --> 00:23:35,800 Speaker 1: the Bay Area, and you're not going to hit all 418 00:23:35,800 --> 00:23:37,840 Speaker 1: the scenarios that that you may hit, and there are 419 00:23:37,920 --> 00:23:41,080 Speaker 1: going to be oops is where somebody hits a bicyclist 420 00:23:41,200 --> 00:23:42,600 Speaker 1: or a car on the side of the road and 421 00:23:42,640 --> 00:23:45,040 Speaker 1: you go, well, we got to reprogram that and that's 422 00:23:45,200 --> 00:23:46,720 Speaker 1: a lot of what goes on. One more for your 423 00:23:46,800 --> 00:23:50,080 Speaker 1: Massachusetts center at market. He also reacted to Tesla is 424 00:23:50,160 --> 00:23:54,639 Speaker 1: running regulatory red lights and failing to take common sense 425 00:23:55,040 --> 00:23:58,480 Speaker 1: safety measures to protect the public. But Tesla and these 426 00:23:58,600 --> 00:24:02,520 Speaker 1: lawmakers and the National Highway Traffic Safety Administration, they have 427 00:24:02,600 --> 00:24:05,440 Speaker 1: been butting heads for a really long time, so it's 428 00:24:05,440 --> 00:24:07,399 Speaker 1: not a real surprise that they're going to be called 429 00:24:07,400 --> 00:24:10,639 Speaker 1: out by this group. And Tessa fights back to say no, 430 00:24:10,920 --> 00:24:13,760 Speaker 1: that we have a good product and we stand behind it. 431 00:24:13,840 --> 00:24:16,000 Speaker 1: Honda put out a statement where I put a few 432 00:24:16,000 --> 00:24:19,840 Speaker 1: moments ago. They're saying that they urge caution on this 433 00:24:19,960 --> 00:24:24,440 Speaker 1: data because automakers, they say, as Apple's Apple comparisons simply 434 00:24:24,480 --> 00:24:26,920 Speaker 1: are not possible at this time. So they say, don't 435 00:24:26,920 --> 00:24:30,040 Speaker 1: worry about the data, that there's a lot more to 436 00:24:30,119 --> 00:24:33,000 Speaker 1: it than this. But bottom line, from the data, we 437 00:24:33,080 --> 00:24:36,359 Speaker 1: know and driver assist can be the automatic breaking, the 438 00:24:36,720 --> 00:24:40,480 Speaker 1: lane keeping. So they lumped it all together. But with 439 00:24:40,520 --> 00:24:44,000 Speaker 1: all of this and with that engaged, there were four 440 00:24:44,080 --> 00:24:48,040 Speaker 1: hundred accidents and six people who died. I would think 441 00:24:48,119 --> 00:24:50,000 Speaker 1: I've never driven in one of these things. I had 442 00:24:50,000 --> 00:24:54,399 Speaker 1: a car with cruise control long, long time ago. Do 443 00:24:54,440 --> 00:24:56,879 Speaker 1: you get I would think you get less engaged if 444 00:24:56,920 --> 00:25:00,600 Speaker 1: you're on autopilot and you really could get drowsy, drift off, 445 00:25:00,640 --> 00:25:03,560 Speaker 1: because there's nothing to make you pay attention, there's nothing 446 00:25:03,880 --> 00:25:05,879 Speaker 1: to keep your adrenaline going. You know, you're on it 447 00:25:06,600 --> 00:25:08,960 Speaker 1: where you're driving normally, and if you're just sitting there 448 00:25:09,040 --> 00:25:12,360 Speaker 1: as if you're in a plane, well yeah, eventually you're 449 00:25:12,400 --> 00:25:15,000 Speaker 1: just gonna go kind of nod off, don't do something 450 00:25:15,040 --> 00:25:17,080 Speaker 1: else or yeah, I mean I would think you do. 451 00:25:17,240 --> 00:25:19,399 Speaker 1: You would. I don't have a tessela either, but you 452 00:25:19,440 --> 00:25:22,359 Speaker 1: pay twelve grand for that autopilot technology. I better do 453 00:25:22,440 --> 00:25:25,840 Speaker 1: something right. And it seems like that if you run 454 00:25:25,840 --> 00:25:28,040 Speaker 1: a long drive and you were and it was steering 455 00:25:28,080 --> 00:25:32,000 Speaker 1: for you and breaking and accelerating and changing lanes and 456 00:25:32,080 --> 00:25:34,240 Speaker 1: hitting the blinker and everything else, how do you not 457 00:25:34,400 --> 00:25:39,160 Speaker 1: nod off? But hard for me to trust that. Yeah, 458 00:25:39,200 --> 00:25:41,880 Speaker 1: it's like I know plenty of you know, people get 459 00:25:41,920 --> 00:25:43,600 Speaker 1: into accident. It's all the time. And I don't know 460 00:25:43,600 --> 00:25:45,760 Speaker 1: what the ratio is for. And that's the other thing 461 00:25:45,800 --> 00:25:47,679 Speaker 1: that we don't know about this stum and accidents. But 462 00:25:47,680 --> 00:25:49,560 Speaker 1: at least you know, I've got a sense that I'm 463 00:25:49,600 --> 00:25:51,960 Speaker 1: in control here, and if I see somebody do something wacky, 464 00:25:52,080 --> 00:25:54,000 Speaker 1: I can I can swear you can swerve out of 465 00:25:54,000 --> 00:25:55,919 Speaker 1: the way really fast. And that's another part of this 466 00:25:56,080 --> 00:25:59,360 Speaker 1: data that these car companies and you hear Elon Musk 467 00:25:59,400 --> 00:26:01,639 Speaker 1: say at all the time. Yeah, but compared to the 468 00:26:01,680 --> 00:26:05,040 Speaker 1: real world of people behind the wheel, this is pretty 469 00:26:05,080 --> 00:26:08,680 Speaker 1: darn good. Still though you want to trust it, and 470 00:26:08,760 --> 00:26:11,760 Speaker 1: we don't know what the data is. When driver assist 471 00:26:11,800 --> 00:26:14,399 Speaker 1: was not in play on these vehicles, then it probably 472 00:26:14,400 --> 00:26:17,960 Speaker 1: would have been more in line with everyday driving that 473 00:26:18,000 --> 00:26:20,480 Speaker 1: the most people are doing. But still you flip it 474 00:26:20,560 --> 00:26:22,840 Speaker 1: on and you don't think you're gonna fly off the 475 00:26:22,920 --> 00:26:24,879 Speaker 1: road into a lake or slam into the back of 476 00:26:24,880 --> 00:26:28,280 Speaker 1: a patrol car or hit a bicyclist. And in these 477 00:26:28,320 --> 00:26:31,720 Speaker 1: cases that's what went on. All right, Very good, Alex, 478 00:26:31,760 --> 00:26:34,639 Speaker 1: thank you, you got it by guys. All right, Coming 479 00:26:34,760 --> 00:26:39,280 Speaker 1: up next, Well, we predicted this years ago dealing with 480 00:26:39,359 --> 00:26:44,119 Speaker 1: cars ride share Uber Lift. It looks like the days 481 00:26:44,119 --> 00:26:47,120 Speaker 1: of low prices to get yourself an Uber a Lift 482 00:26:47,200 --> 00:26:50,159 Speaker 1: ride are over. And there's a pretty good explanation as 483 00:26:50,160 --> 00:26:52,280 Speaker 1: to why this finally happened. Coming up next, John and 484 00:26:52,359 --> 00:26:54,800 Speaker 1: Ken Show KF five. So the big nancement out of 485 00:26:54,800 --> 00:26:59,159 Speaker 1: the White House today was the old pooper is so 486 00:26:59,280 --> 00:27:02,719 Speaker 1: pissed off out the oil and gas prices that he 487 00:27:02,760 --> 00:27:07,480 Speaker 1: wrote a letter to the oil companies who leturs I 488 00:27:07,480 --> 00:27:08,919 Speaker 1: think it was let turn because he wrote them to 489 00:27:08,920 --> 00:27:13,919 Speaker 1: several companies, yeah, and threading them with executive emergency action. 490 00:27:14,119 --> 00:27:17,480 Speaker 1: He said, I'm going to come down there and pop you. Yeah, 491 00:27:17,520 --> 00:27:23,200 Speaker 1: man so, and he wants to force them to produce 492 00:27:23,280 --> 00:27:25,480 Speaker 1: more oil and gas. I don't know how you do that. 493 00:27:26,040 --> 00:27:30,800 Speaker 1: Carigaren from Western States Petroleum Association will give us the 494 00:27:31,080 --> 00:27:34,639 Speaker 1: oil industry side of this and maybe explain how he 495 00:27:34,680 --> 00:27:36,919 Speaker 1: would have the power to do that. He claims they 496 00:27:36,960 --> 00:27:40,320 Speaker 1: have historically high profit margins, and we'll see the response 497 00:27:40,359 --> 00:27:43,440 Speaker 1: to that coming up after the news at four o'clock. 498 00:27:43,600 --> 00:27:47,120 Speaker 1: I remember this probably goes back five six years. We've 499 00:27:47,160 --> 00:27:49,920 Speaker 1: been with the rideshare that's what they call them, Uber 500 00:27:49,960 --> 00:27:52,280 Speaker 1: and Lyft and such for quite a while now, and 501 00:27:52,280 --> 00:27:55,960 Speaker 1: I remember you used to say that, Yeah, they don't 502 00:27:56,040 --> 00:27:58,800 Speaker 1: run at profits. They lose money. And I kept saying, well, 503 00:27:58,800 --> 00:28:01,840 Speaker 1: why would anybody run a company or invest in a 504 00:28:01,840 --> 00:28:05,720 Speaker 1: company that constantly loses money? Well, it's explained nicely in 505 00:28:05,760 --> 00:28:12,120 Speaker 1: an article in the Atlantic. These startups weren't nonprofits, charities 506 00:28:12,200 --> 00:28:15,440 Speaker 1: or state run socialist enterprises. Eventually they do, they had 507 00:28:15,440 --> 00:28:18,439 Speaker 1: to do a capitalism thing and turn a profit, but 508 00:28:18,560 --> 00:28:21,760 Speaker 1: for years it made a strange kind of sense for 509 00:28:21,800 --> 00:28:24,760 Speaker 1: them not to be profitable with interest rates near zero, 510 00:28:24,880 --> 00:28:26,960 Speaker 1: and this is years ago, not what the rates were 511 00:28:27,000 --> 00:28:29,200 Speaker 1: seeing to many investors were eager to put their money 512 00:28:29,240 --> 00:28:32,000 Speaker 1: into long shot bets. If they could get in the 513 00:28:32,080 --> 00:28:34,840 Speaker 1: ground floor of the next Amazon, it would be a 514 00:28:34,920 --> 00:28:37,480 Speaker 1: one in a million bet that covered every other loss. 515 00:28:37,880 --> 00:28:41,720 Speaker 1: So they encouraged startup founders to expand aggressively, even if 516 00:28:41,760 --> 00:28:43,800 Speaker 1: that meant losing a ton of money on new consumers, 517 00:28:43,800 --> 00:28:46,920 Speaker 1: to grow their total user base. So that looks to 518 00:28:47,040 --> 00:28:52,240 Speaker 1: be what was behind Uber and Lyft and all the 519 00:28:52,320 --> 00:28:57,360 Speaker 1: losses that they announced year after year because people were 520 00:28:58,360 --> 00:29:01,520 Speaker 1: getting pretty obviously lower and taxi fairs a lot of 521 00:29:01,520 --> 00:29:03,840 Speaker 1: cases to take a ride. But apparently those days seemed 522 00:29:03,880 --> 00:29:06,240 Speaker 1: to be over. Uber is a great example. I read 523 00:29:06,960 --> 00:29:10,040 Speaker 1: a book about the founding of Uber and the whole 524 00:29:10,080 --> 00:29:13,400 Speaker 1: inside background story, and then there's also a mini series 525 00:29:13,440 --> 00:29:16,479 Speaker 1: out on one of the streaming channels which dramatized it 526 00:29:17,400 --> 00:29:20,800 Speaker 1: and what's fascinating is the whole purpose was to put 527 00:29:20,840 --> 00:29:23,720 Speaker 1: all the taxi companies out of business, and the quickest 528 00:29:23,760 --> 00:29:26,840 Speaker 1: way to do that was cheap rides, really cheap rides. Yeah, 529 00:29:26,920 --> 00:29:30,040 Speaker 1: undercut them, and then once you get most of the 530 00:29:30,120 --> 00:29:34,280 Speaker 1: market now you could start jacking up your price and 531 00:29:34,320 --> 00:29:36,720 Speaker 1: you're going to make profits for the rest of infinity. 532 00:29:37,120 --> 00:29:39,520 Speaker 1: You just have to be willing to swallow the losses now. 533 00:29:39,880 --> 00:29:45,320 Speaker 1: And these mega millionaires who were worth billions of dollars 534 00:29:45,800 --> 00:29:48,760 Speaker 1: just had no problem taking fifty million or one hundred 535 00:29:48,760 --> 00:29:51,880 Speaker 1: million and throwing it into businesses like this because it 536 00:29:52,240 --> 00:29:55,280 Speaker 1: one hundred million meant nothing to them, and if they 537 00:29:55,320 --> 00:29:58,640 Speaker 1: scored an Amazon win or an eBay win, then they 538 00:29:58,640 --> 00:30:01,760 Speaker 1: would get billions in billion and returns on it. And 539 00:30:01,800 --> 00:30:04,200 Speaker 1: so it was this. It was the coolest game in 540 00:30:04,240 --> 00:30:08,560 Speaker 1: the world to play, and by undercutting prices, you put 541 00:30:08,640 --> 00:30:11,920 Speaker 1: most of your competition out of business. And the only 542 00:30:11,960 --> 00:30:15,000 Speaker 1: thing that dogged uber Uber in the early years was lift. 543 00:30:15,520 --> 00:30:19,600 Speaker 1: Of course, they were playing the same game, right, And well, 544 00:30:19,640 --> 00:30:24,720 Speaker 1: we've come to the day now where everybody's tired of 545 00:30:24,760 --> 00:30:28,760 Speaker 1: losing billions and billions and billions. I passed on Uber 546 00:30:28,800 --> 00:30:31,080 Speaker 1: if I haven't taken barely any ubers or lifts since 547 00:30:31,120 --> 00:30:33,920 Speaker 1: the pandemic began, and I passed on a few times 548 00:30:33,920 --> 00:30:36,000 Speaker 1: because they wanted too much money. I ended up taking 549 00:30:36,000 --> 00:30:39,400 Speaker 1: a cab home from Lax last weekend. Oh I've passed 550 00:30:39,400 --> 00:30:41,959 Speaker 1: on Uber twice. Plus I'm also getting the thing now 551 00:30:42,000 --> 00:30:44,160 Speaker 1: at the app. There's no response. Yeah, I don't know 552 00:30:44,200 --> 00:30:47,160 Speaker 1: what's going on with that, but I just get nothing. Well, 553 00:30:47,520 --> 00:30:51,120 Speaker 1: I get lots like everything else. You just can't get employees. 554 00:30:51,880 --> 00:30:55,840 Speaker 1: And Uber's always had bad relations with its with its drivers, 555 00:30:55,840 --> 00:30:57,479 Speaker 1: and I guess drivers don't have to put up at 556 00:30:57,480 --> 00:30:59,640 Speaker 1: that anymore. There are too many jobs available. I mean, 557 00:31:00,200 --> 00:31:02,200 Speaker 1: with the fact that obviously gas prices are way up, 558 00:31:02,200 --> 00:31:03,560 Speaker 1: so they have to charge more, but that would be 559 00:31:03,600 --> 00:31:07,000 Speaker 1: the same for the taxi people. It looks like, at 560 00:31:07,040 --> 00:31:10,880 Speaker 1: least in this analysis, that this cheap ride is over 561 00:31:11,600 --> 00:31:14,280 Speaker 1: and that they're gonna have to just they're gonna they're 562 00:31:14,360 --> 00:31:17,480 Speaker 1: pricing things more in line with the world and the 563 00:31:17,520 --> 00:31:20,400 Speaker 1: reality of the world, because the cab companies got diminished, 564 00:31:20,400 --> 00:31:22,960 Speaker 1: but they haven't gone away, no, no, And they all 565 00:31:23,000 --> 00:31:25,920 Speaker 1: have apps now too, they do, so you could down 566 00:31:26,120 --> 00:31:30,280 Speaker 1: probably download a yellow cab style app. But this writer 567 00:31:30,560 --> 00:31:34,400 Speaker 1: wrote that Derek Thoms. Derek Tompson, if you woke up 568 00:31:34,400 --> 00:31:38,000 Speaker 1: on a Casper mattress, worked out with a Peloton, ubered 569 00:31:38,080 --> 00:31:40,600 Speaker 1: to a wee, work ordered on door dash for lunch, 570 00:31:40,640 --> 00:31:44,280 Speaker 1: took a lift home, and ordered dinner through Postmates your 571 00:31:44,320 --> 00:31:47,840 Speaker 1: household at in one day, interacted with eight unprofitable companies 572 00:31:48,080 --> 00:31:51,320 Speaker 1: that collectively lost about fifteen billion dollars in a year, 573 00:31:52,200 --> 00:31:53,920 Speaker 1: But you could spend the whole day and a lot 574 00:31:53,960 --> 00:31:57,000 Speaker 1: of young urban professionals in the cities this is how 575 00:31:57,040 --> 00:32:02,040 Speaker 1: they lived. They lived on delivered food and cheap cab rides, 576 00:32:02,120 --> 00:32:05,800 Speaker 1: and you know other other startup companies that relied on 577 00:32:05,840 --> 00:32:09,440 Speaker 1: technology like Peloton, and it was a pretty good life. 578 00:32:09,840 --> 00:32:14,520 Speaker 1: But you can't lose collectively fifteen billion dollars a year forever, right, 579 00:32:15,320 --> 00:32:17,840 Speaker 1: There's no way. He does admit at the end that 580 00:32:17,920 --> 00:32:21,640 Speaker 1: with interest rates going up and possible problems with employment, 581 00:32:22,120 --> 00:32:24,400 Speaker 1: there might be more Uber drivers on the road, and 582 00:32:24,440 --> 00:32:26,640 Speaker 1: there might be some sort of drop in the prices, 583 00:32:26,680 --> 00:32:29,560 Speaker 1: but he says the cheap prices of the twenty tens 584 00:32:30,200 --> 00:32:34,120 Speaker 1: are not coming back. The really discounted than well. The 585 00:32:34,240 --> 00:32:37,760 Speaker 1: idea also was with the startups is that you you 586 00:32:38,160 --> 00:32:41,600 Speaker 1: built huge market share and then you took the company public. Now, 587 00:32:41,640 --> 00:32:44,080 Speaker 1: once you take the company public, you don't have control anymore. 588 00:32:44,160 --> 00:32:46,800 Speaker 1: Now the investors have control, and the investors are hard 589 00:32:46,800 --> 00:32:50,680 Speaker 1: ass Wall Street guys. Right. So but in return you 590 00:32:50,760 --> 00:32:53,120 Speaker 1: cash out with billions of dollars. You know, if you 591 00:32:53,160 --> 00:32:56,440 Speaker 1: owned ten percent of the company and now the stock 592 00:32:56,560 --> 00:32:59,000 Speaker 1: is going public, well you could sell your ten percent 593 00:32:59,040 --> 00:33:01,960 Speaker 1: of the company for for billions and go home and 594 00:33:02,160 --> 00:33:05,880 Speaker 1: everything's worked out really well. But that means now the 595 00:33:06,000 --> 00:33:08,720 Speaker 1: new investors that really owned and run the company are 596 00:33:08,800 --> 00:33:13,000 Speaker 1: going to jack up. I wanted to take a couple 597 00:33:13,040 --> 00:33:16,160 Speaker 1: of hoogers actually here to work because my wife and 598 00:33:16,160 --> 00:33:18,880 Speaker 1: I were meeting afterwards somewhere and they wanted they wanted 599 00:33:19,000 --> 00:33:21,440 Speaker 1: fifty dollars to go from the West Side to Burbank. 600 00:33:22,480 --> 00:33:26,080 Speaker 1: Well I'm not doing that, and that happened to three 601 00:33:26,120 --> 00:33:29,880 Speaker 1: times in a row. So they turned down customers. But 602 00:33:29,920 --> 00:33:32,920 Speaker 1: then again, somebody will pay the fifty, Yeah, somebody will, 603 00:33:33,760 --> 00:33:37,920 Speaker 1: all right, coming up next. Biden today sent letters threatening 604 00:33:38,000 --> 00:33:43,200 Speaker 1: the oil companies to produce more gasoline and also angry 605 00:33:43,240 --> 00:33:45,880 Speaker 1: about their high profit margins. We're going to talk to 606 00:33:45,920 --> 00:33:49,680 Speaker 1: a representative from the Western States Petroleum Association about all 607 00:33:49,680 --> 00:33:51,960 Speaker 1: this coming up now John and Ken Show and Mark 608 00:33:52,040 --> 00:33:54,720 Speaker 1: Runner has the news caf I am six forty. Hey Ken, 609 00:33:54,760 --> 00:33:56,840 Speaker 1: did you know that gold is the only currency that's 610 00:33:56,840 --> 00:33:59,600 Speaker 1: held its value since the dawn of money? Well? I 611 00:33:59,680 --> 00:34:03,040 Speaker 1: did thanks to our friends at Legacy Precious Metals, the 612 00:34:03,120 --> 00:34:07,360 Speaker 1: most trusted name in gold investing. 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