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There is not a lot 20 00:01:06,560 --> 00:01:09,119 Speaker 1: of detail, but in the last twenty minutes, we got 21 00:01:09,160 --> 00:01:12,120 Speaker 1: word out of the Orange County District Attorney's office that 22 00:01:12,200 --> 00:01:15,680 Speaker 1: they have arrested a suspect in connection with that shooting spree, 23 00:01:15,680 --> 00:01:19,800 Speaker 1: the robberies that occurred on Monday morning of the seven 24 00:01:19,880 --> 00:01:24,880 Speaker 1: elevens in Riverside, Orange County. The DA is Todd Spitzer. 25 00:01:24,880 --> 00:01:29,520 Speaker 1: Of course they're planning of five pm news conference. First 26 00:01:29,560 --> 00:01:31,120 Speaker 1: thing I thought of when I saw this, because this 27 00:01:31,240 --> 00:01:33,920 Speaker 1: is the times we live in. Thank god it's Todd 28 00:01:33,959 --> 00:01:36,640 Speaker 1: Spitzer that's got the case. First thing. That's the first 29 00:01:36,680 --> 00:01:39,840 Speaker 1: thing got thought of too. Yes, gone case. He would say, well, 30 00:01:40,200 --> 00:01:42,319 Speaker 1: we didn't know he was going to be violent, and 31 00:01:42,360 --> 00:01:44,680 Speaker 1: we should really take this into consideration. Oh, he had 32 00:01:44,720 --> 00:01:48,280 Speaker 1: strikes on his record, now I'll ignore those enhancements. No, no, 33 00:01:48,360 --> 00:01:51,160 Speaker 1: he used a gun. That's unfortunate, but we'll ignore those. 34 00:01:51,400 --> 00:01:55,760 Speaker 1: I was so glad that he was arrested in Orange County. 35 00:01:55,920 --> 00:01:59,520 Speaker 1: So all prosecutions have to be done outside of La County. Yes, 36 00:01:59,760 --> 00:02:03,040 Speaker 1: that should be. We gotta get that referendum on the ballot. Yeah, 37 00:02:04,280 --> 00:02:07,559 Speaker 1: that's like remember SHERFFI and a Wavet did that because 38 00:02:07,600 --> 00:02:09,880 Speaker 1: they arrested a guy or a couple of guys that 39 00:02:10,000 --> 00:02:12,680 Speaker 1: shot that off duty LAPD officer, and he turned it 40 00:02:12,680 --> 00:02:14,639 Speaker 1: over to the feds. That's what he did with the case. 41 00:02:15,120 --> 00:02:17,320 Speaker 1: Doesn't want to gascone touching it. You got to find 42 00:02:17,440 --> 00:02:20,520 Speaker 1: some legal loophole to transfer it over to the Feds, 43 00:02:20,560 --> 00:02:24,800 Speaker 1: the state, another county, anybody. Because yeah, that so that's 44 00:02:24,840 --> 00:02:27,160 Speaker 1: it's two pieces of good news. They think they have 45 00:02:27,280 --> 00:02:30,480 Speaker 1: the guy doing the seven eleven killings and Todd Spitzer 46 00:02:30,520 --> 00:02:32,320 Speaker 1: is going to be doing the prosecution. There you go, 47 00:02:33,280 --> 00:02:36,480 Speaker 1: nice a better day. This occurred. And by the way, 48 00:02:36,520 --> 00:02:41,200 Speaker 1: in Lahabra, Santa Anna, Riverside, Brea, and then there was 49 00:02:41,240 --> 00:02:45,320 Speaker 1: a couple of robberies in the upper San Fernando Valley 50 00:02:45,360 --> 00:02:47,480 Speaker 1: that they think might be connected to this. But the 51 00:02:47,560 --> 00:02:49,560 Speaker 1: seven elevens, we're talking about it, and you were listing 52 00:02:49,680 --> 00:02:53,080 Speaker 1: yesterday during the three o'clock hour, we did talk to 53 00:02:53,160 --> 00:02:55,639 Speaker 1: the father of one of those who was shot at 54 00:02:55,680 --> 00:02:59,639 Speaker 1: the Riverside seven eleven. His name was Jason Harrold. You 55 00:02:59,760 --> 00:03:01,880 Speaker 1: list there's really came through. I'm looking at more than 56 00:03:01,919 --> 00:03:06,360 Speaker 1: ten thousand dollars raised yesterday alone that we put up 57 00:03:06,360 --> 00:03:08,400 Speaker 1: the go fund me ling. That is great because when 58 00:03:08,520 --> 00:03:12,680 Speaker 1: when we first put the dad on he it was 59 00:03:12,720 --> 00:03:16,440 Speaker 1: at sixteen hundred and ninety dollars, that's what I thought. Yeah, 60 00:03:16,480 --> 00:03:19,280 Speaker 1: so now it's a twelve thousand and seven twenty five Wow. 61 00:03:19,360 --> 00:03:22,880 Speaker 1: So that's over ten thousand dollars that the John and 62 00:03:22,960 --> 00:03:26,880 Speaker 1: Ken audience, the CAFI audience came through on right because 63 00:03:27,000 --> 00:03:30,960 Speaker 1: now they may have the shooter of Jason Harrold in custody. 64 00:03:31,080 --> 00:03:34,679 Speaker 1: We hope you never know, but we don't have any 65 00:03:34,720 --> 00:03:37,360 Speaker 1: details about the circumstances of this arrest where whether that 66 00:03:37,400 --> 00:03:40,080 Speaker 1: one hundred thousand dollars reward was involved, we don't know. 67 00:03:40,800 --> 00:03:43,080 Speaker 1: So we're waiting for more detail. This story just came 68 00:03:43,080 --> 00:03:45,880 Speaker 1: out in the last twenty thirty minutes. And if you 69 00:03:46,000 --> 00:03:51,320 Speaker 1: can keep the donations coming for Jason Harold, because it's 70 00:03:52,000 --> 00:03:54,880 Speaker 1: they're looking for a one hundred thousand dollars, there's gonna 71 00:03:54,880 --> 00:03:58,160 Speaker 1: be a tremendous amount of medical bills because he got 72 00:03:58,240 --> 00:04:00,680 Speaker 1: shot in the back of the head and the bullet 73 00:04:00,720 --> 00:04:03,000 Speaker 1: went through the part of his brain that controls the 74 00:04:03,080 --> 00:04:06,960 Speaker 1: movement on his right side and also his speech. And 75 00:04:07,080 --> 00:04:09,400 Speaker 1: it's going to be a long recovery and there's no telling, 76 00:04:09,680 --> 00:04:13,720 Speaker 1: you know, how much of recovery, how much time it's 77 00:04:13,760 --> 00:04:15,680 Speaker 1: going to take. I mean the medical bills and all 78 00:04:15,680 --> 00:04:18,440 Speaker 1: the care bills once he gets home are going to 79 00:04:18,520 --> 00:04:22,280 Speaker 1: be astronomical. He's got three kids, including you know seven 80 00:04:22,360 --> 00:04:25,159 Speaker 1: year old seven year old girl. I think, right, yeah, 81 00:04:25,200 --> 00:04:28,720 Speaker 1: and uh, you know, we And the thing is, he's 82 00:04:28,760 --> 00:04:31,440 Speaker 1: been a Johnny Ken listener for a long time and 83 00:04:31,520 --> 00:04:34,159 Speaker 1: it says he has limited income for his treatment, care 84 00:04:34,200 --> 00:04:36,360 Speaker 1: and recovery. Yeah, so I don't even know if he 85 00:04:36,360 --> 00:04:38,400 Speaker 1: had any insurance, So this is a tough I think 86 00:04:38,440 --> 00:04:40,400 Speaker 1: he worked in construction. I don't know if he had 87 00:04:43,080 --> 00:04:45,839 Speaker 1: contracting jobs, maybe going from from job to job, and 88 00:04:45,920 --> 00:04:48,680 Speaker 1: he doesn't have full health insurance. I don't know. But 89 00:04:48,800 --> 00:04:50,719 Speaker 1: the thing is, you know, he's one of you. He 90 00:04:50,800 --> 00:04:53,560 Speaker 1: listens to our show every day. The dad, at least 91 00:04:53,560 --> 00:04:58,599 Speaker 1: the dad said that he the dad listens to the right. 92 00:04:58,680 --> 00:05:00,960 Speaker 1: So you know, we're really you feel a little extra 93 00:05:01,040 --> 00:05:03,080 Speaker 1: bond there and we want to help the family out. 94 00:05:03,520 --> 00:05:07,039 Speaker 1: So if you want to help a fellow listener's family here, 95 00:05:08,120 --> 00:05:11,080 Speaker 1: please go to kafiam six forty dot com the John 96 00:05:11,120 --> 00:05:14,120 Speaker 1: and Kent page and you will see the story about 97 00:05:14,120 --> 00:05:16,240 Speaker 1: the seven to eleven shootings, and if you click on 98 00:05:16,279 --> 00:05:18,000 Speaker 1: the link, you'll get to the go fund me page, 99 00:05:18,279 --> 00:05:20,360 Speaker 1: and they are at twelve thy, seven hundred and twenty 100 00:05:20,400 --> 00:05:23,039 Speaker 1: five dollars. And again that's about ten grand plus more 101 00:05:23,080 --> 00:05:25,560 Speaker 1: than yesterday at this time. Yeah's just about a day. 102 00:05:25,839 --> 00:05:29,720 Speaker 1: It's all it took, So continue to donate there. We're 103 00:05:29,760 --> 00:05:32,520 Speaker 1: trying to get Todd Spitzer on before five o'clock. We 104 00:05:32,520 --> 00:05:34,800 Speaker 1: don't know we'll have any luck because sometimes they're still 105 00:05:34,800 --> 00:05:36,600 Speaker 1: gathering information and he wants to come out and make 106 00:05:36,600 --> 00:05:39,920 Speaker 1: the official statement about this arrest and then of course 107 00:05:39,960 --> 00:05:42,560 Speaker 1: take questions. But you never know. You know, we've known 108 00:05:42,640 --> 00:05:44,160 Speaker 1: taught a long time. You might come on the show 109 00:05:44,160 --> 00:05:46,800 Speaker 1: before five, so standby for that. We'll give you any 110 00:05:46,839 --> 00:05:50,360 Speaker 1: more detail. Now, speaking of George Gascone, the word came 111 00:05:50,400 --> 00:05:54,640 Speaker 1: down late in the show yesterday that the signatures that 112 00:05:54,760 --> 00:05:58,600 Speaker 1: the recall organizers turned into the La County Registrar of 113 00:05:58,680 --> 00:06:03,360 Speaker 1: Voters did and was subject to the five percent sampling, 114 00:06:03,440 --> 00:06:05,960 Speaker 1: and the LA County Registrar put out the results. This 115 00:06:06,120 --> 00:06:10,440 Speaker 1: is Dean Logan is his name. The total number of 116 00:06:10,480 --> 00:06:14,400 Speaker 1: signatures submitted, according to the Registrar's office, was seven hundred 117 00:06:14,440 --> 00:06:17,880 Speaker 1: and fifteen thousand, eight thirty three. We mentioned the other 118 00:06:17,960 --> 00:06:20,440 Speaker 1: day that the organizers thought they turned in seven hundred 119 00:06:20,440 --> 00:06:23,680 Speaker 1: and seventeen thousand, But anyway, all right, we'll go at 120 00:06:23,720 --> 00:06:27,279 Speaker 1: that number. And they did the five percent sampling, and 121 00:06:27,360 --> 00:06:30,280 Speaker 1: this is kind of a mixed bag of results. If 122 00:06:30,320 --> 00:06:34,320 Speaker 1: the five percent sample had enough to be valid to 123 00:06:34,400 --> 00:06:38,039 Speaker 1: make to get to the get to get to the 124 00:06:38,040 --> 00:06:40,240 Speaker 1: ballot to the recall, then they would have been done 125 00:06:40,240 --> 00:06:42,559 Speaker 1: with this and we would have the recall election set. 126 00:06:43,040 --> 00:06:45,960 Speaker 1: But they did not find as enough of them to 127 00:06:46,080 --> 00:06:49,400 Speaker 1: be valid from the random sample that fell below the 128 00:06:49,440 --> 00:06:54,200 Speaker 1: threshold they needed to require it to certify the petition outright. However, 129 00:06:54,320 --> 00:06:58,520 Speaker 1: it was above the signature threshold to actually reject the 130 00:06:58,560 --> 00:07:02,600 Speaker 1: whole recall. This kind of fell right in between. Apparently 131 00:07:02,640 --> 00:07:05,680 Speaker 1: from what I see on their press release, the recall organizers, 132 00:07:05,680 --> 00:07:08,840 Speaker 1: they're not disappointed, almost expected this. So the next thing 133 00:07:08,880 --> 00:07:11,520 Speaker 1: that happens is they're going to go through all of 134 00:07:11,920 --> 00:07:16,960 Speaker 1: the signatures fifteen, eight hundred and thirty. I did a calculation, 135 00:07:17,080 --> 00:07:20,280 Speaker 1: because they took five percent right one twenty, So if 136 00:07:20,280 --> 00:07:23,520 Speaker 1: you multiply the signatures they got by twenty, you get 137 00:07:23,520 --> 00:07:26,480 Speaker 1: to five hundred and fifty nine thousand, which would be 138 00:07:26,520 --> 00:07:31,880 Speaker 1: seven thousand short. But there's no telling whether this sample 139 00:07:32,160 --> 00:07:35,800 Speaker 1: is a high sample, a low sample, a median sample. Right, 140 00:07:35,840 --> 00:07:37,440 Speaker 1: not every sample is going to give you the same 141 00:07:38,800 --> 00:07:42,360 Speaker 1: the same result. No, but you know when they pull people, 142 00:07:42,400 --> 00:07:44,800 Speaker 1: they use that as what they think is reflective of 143 00:07:44,840 --> 00:07:47,600 Speaker 1: the entire population. Yeah, and the polls this is kind 144 00:07:47,640 --> 00:07:50,520 Speaker 1: of the same theory. Its seventy five percent you take 145 00:07:50,640 --> 00:07:53,120 Speaker 1: might be representative of the total population when they do 146 00:07:53,160 --> 00:07:56,760 Speaker 1: the pulling, though they balance everything for geography and age 147 00:07:57,560 --> 00:08:01,560 Speaker 1: and race and sex. I don't know where they're taking 148 00:08:01,560 --> 00:08:03,280 Speaker 1: this five percent out of. I don't know if it's 149 00:08:03,320 --> 00:08:05,760 Speaker 1: balanced for anything. I don't know what their formula is. 150 00:08:06,480 --> 00:08:11,880 Speaker 1: It's just if on average for the other nineteen five 151 00:08:11,920 --> 00:08:15,440 Speaker 1: percent segments, if there was three hundred and sixty eight 152 00:08:15,680 --> 00:08:18,680 Speaker 1: more votes in each of those five percent, then you'd 153 00:08:18,720 --> 00:08:22,720 Speaker 1: have enough, which is a tiny amount in the grand 154 00:08:22,720 --> 00:08:24,760 Speaker 1: scheme of things. So there's just no way to know 155 00:08:26,080 --> 00:08:28,760 Speaker 1: right now. But you know it's in a decent zone. 156 00:08:30,520 --> 00:08:33,520 Speaker 1: Well it's not dead. No, it's not dead. It's not dead, 157 00:08:33,640 --> 00:08:37,240 Speaker 1: but it's obviously going to be close. Yeah. I calculated 158 00:08:37,280 --> 00:08:40,360 Speaker 1: that they had like a twenty one percent rejection rate 159 00:08:40,440 --> 00:08:43,240 Speaker 1: for the sample, and as I said before, they cannot 160 00:08:43,240 --> 00:08:47,080 Speaker 1: really go above twenty percent rejection. Now, we've looked at 161 00:08:47,080 --> 00:08:51,040 Speaker 1: other recalls and other efforts, and usually it's between fifteen 162 00:08:51,080 --> 00:08:54,280 Speaker 1: and twenty percent rejection rates. So we're on the high 163 00:08:54,400 --> 00:08:56,960 Speaker 1: end of that. And let's hope maybe that will be 164 00:08:57,000 --> 00:09:00,600 Speaker 1: balanced by say a nineteen percent or eighteen sent rejection 165 00:09:00,679 --> 00:09:04,319 Speaker 1: rate the full barrel of signatures and maybe whist will 166 00:09:04,360 --> 00:09:06,440 Speaker 1: make them make the ballot. Yeah, there's no way to 167 00:09:06,480 --> 00:09:08,959 Speaker 1: tell because you don't know where they're selecting from. Was 168 00:09:09,000 --> 00:09:14,360 Speaker 1: it just random? Yeah, imagine different parts of the county 169 00:09:14,679 --> 00:09:17,680 Speaker 1: or different methods of collecting the signature would have different 170 00:09:17,760 --> 00:09:22,000 Speaker 1: rates of good verifications. Just to show you who this 171 00:09:22,120 --> 00:09:26,079 Speaker 1: DA is. He announced yesterday, George Gascone that he's going 172 00:09:26,120 --> 00:09:29,760 Speaker 1: to the California State Supreme Court to challenge an appeals 173 00:09:29,800 --> 00:09:33,760 Speaker 1: court ruling that blocked one of his directives. This was 174 00:09:33,800 --> 00:09:36,920 Speaker 1: the directive he issued to his prosecutors that prevented them 175 00:09:37,440 --> 00:09:41,439 Speaker 1: from alleging prior strike allegations. And this is big because 176 00:09:41,480 --> 00:09:44,000 Speaker 1: in the shooting deaths of the two Elmani police officers, 177 00:09:44,600 --> 00:09:47,080 Speaker 1: we had a guy that came before George Gascon that 178 00:09:47,240 --> 00:09:50,520 Speaker 1: had a strike on his record and he was nabbed 179 00:09:50,559 --> 00:09:54,079 Speaker 1: for possessing a gun on probation. So he should have 180 00:09:54,120 --> 00:09:58,160 Speaker 1: been subject to very, very harsh prosecution because he had 181 00:09:58,160 --> 00:10:01,280 Speaker 1: a strike on his record, but the prosecutors were prevented 182 00:10:01,679 --> 00:10:04,440 Speaker 1: from using that strike, and therefore he got a light, 183 00:10:04,600 --> 00:10:08,199 Speaker 1: light deal. This is one of the most outrageous things 184 00:10:08,320 --> 00:10:11,680 Speaker 1: in all the outrageous things he's done. Can you imagine 185 00:10:12,559 --> 00:10:17,320 Speaker 1: after the two cops get murdered because Gascone gave him 186 00:10:17,520 --> 00:10:22,200 Speaker 1: a break and dismissed the strike. The judges later said 187 00:10:22,280 --> 00:10:26,480 Speaker 1: that was illegal. Yea, that judge said that, and then 188 00:10:26,520 --> 00:10:29,559 Speaker 1: an appeals panel backed it up. Multiple three judge panel 189 00:10:29,559 --> 00:10:32,120 Speaker 1: of the California Second just a court of Appeals agreed 190 00:10:32,200 --> 00:10:34,520 Speaker 1: with the Staley County judge. Well, I imagine the Supreme 191 00:10:34,559 --> 00:10:37,600 Speaker 1: Court is going to agree with the other judges as well, 192 00:10:37,760 --> 00:10:41,079 Speaker 1: because this is the way the law is written. It's 193 00:10:41,320 --> 00:10:44,280 Speaker 1: actually in black and white. The law was designed to 194 00:10:44,520 --> 00:10:49,280 Speaker 1: force a prosecutor to use the strikes against the suspect. 195 00:10:49,960 --> 00:10:52,720 Speaker 1: That's why we created the whole concept of three strikes, 196 00:10:52,760 --> 00:10:55,440 Speaker 1: that when you commit a strike, it's real, it sticks, 197 00:10:55,760 --> 00:10:59,120 Speaker 1: It adds prison time to your latest crime. But the 198 00:10:59,160 --> 00:11:04,720 Speaker 1: thing is, two cops were murdered, and he still wants 199 00:11:04,760 --> 00:11:08,640 Speaker 1: the right to release a guy who murders cops. Jail's 200 00:11:08,679 --> 00:11:12,160 Speaker 1: court said he does not have this power, but he 201 00:11:12,280 --> 00:11:15,040 Speaker 1: still wants it. He must comply with the law. He's 202 00:11:15,080 --> 00:11:18,600 Speaker 1: not a sovereign with absolute, unreviewable discretion. He wants to 203 00:11:18,679 --> 00:11:22,679 Speaker 1: let guys out with strikes on their record, and even 204 00:11:22,720 --> 00:11:27,839 Speaker 1: after these two officers who are brutally murdered, he still 205 00:11:27,880 --> 00:11:33,000 Speaker 1: wants that right. He is a fanatics fanatic. He's a 206 00:11:33,080 --> 00:11:37,600 Speaker 1: complete extremist. When we come back, we're gonna have a 207 00:11:37,600 --> 00:11:40,360 Speaker 1: little bit more on George Gascone. You will not believe 208 00:11:40,400 --> 00:11:44,000 Speaker 1: the story we found today concerning the recall effort against 209 00:11:44,040 --> 00:11:47,640 Speaker 1: George Gascone. It calls for a special desk to be 210 00:11:47,760 --> 00:11:50,400 Speaker 1: hauled out and placed before the audience. That will come 211 00:11:50,440 --> 00:11:53,360 Speaker 1: up next, but right before that, you'll have that keyword 212 00:11:53,360 --> 00:11:56,840 Speaker 1: for a chance to win money. Johnny Ken Show. Kay, fine, 213 00:11:57,720 --> 00:12:03,520 Speaker 1: I'm gonna lick you. We have Gavin Newsom who's doing 214 00:12:03,559 --> 00:12:07,839 Speaker 1: a great job. SETI. He'll get Luis coming, Wendy Creo. 215 00:12:08,080 --> 00:12:11,040 Speaker 1: Because it is a team effort. Governor Clomo has become 216 00:12:11,040 --> 00:12:15,600 Speaker 1: a national leader, garnering nickname America's Governor. And a very 217 00:12:15,760 --> 00:12:18,800 Speaker 1: very special thank you to our Governor. No other than 218 00:12:18,880 --> 00:12:22,040 Speaker 1: Gavin Newsom, because it is this partnership with Joe Biden 219 00:12:22,160 --> 00:12:25,880 Speaker 1: that makes us come to reality. You spoke to National 220 00:12:25,920 --> 00:12:28,839 Speaker 1: Guard troops today in a chilling speech that if I 221 00:12:28,880 --> 00:12:31,480 Speaker 1: want to listening carefully, I thought you were sending soldiers 222 00:12:31,480 --> 00:12:34,960 Speaker 1: off to war. I'm gonna get the Jimmy Gomez in 223 00:12:34,960 --> 00:12:43,959 Speaker 1: a second. A good Christiane, Hey you, yeah, you, it's 224 00:12:44,040 --> 00:12:49,920 Speaker 1: time for your tongue bath. Rub A dub dub that 225 00:12:50,280 --> 00:12:55,120 Speaker 1: is so offensive and so idea. Well, of course it 226 00:12:55,240 --> 00:13:00,920 Speaker 1: was my idea. The tongue bath desket did candidates why 227 00:13:00,960 --> 00:13:04,880 Speaker 1: it's disgusting to those in the media who literally give 228 00:13:04,960 --> 00:13:09,120 Speaker 1: and they're usually politicians the old tongue bath. It's a 229 00:13:09,240 --> 00:13:14,120 Speaker 1: knob slobbering rite up or interview that we decide we 230 00:13:14,200 --> 00:13:16,160 Speaker 1: got to bring out the desk to cover it. The 231 00:13:16,240 --> 00:13:20,440 Speaker 1: winner today is politico dot com and a person by 232 00:13:20,480 --> 00:13:24,800 Speaker 1: the name of Ryan Liza eli zz A, who gave 233 00:13:24,840 --> 00:13:29,400 Speaker 1: the tongue bath to George Gascone, beginning the article with 234 00:13:29,800 --> 00:13:32,560 Speaker 1: he was elected with fifty four percent of the vote 235 00:13:32,559 --> 00:13:36,560 Speaker 1: in November twenty twenty. I won handsomely, he reminisced during 236 00:13:36,600 --> 00:13:39,599 Speaker 1: a ninety minute conversation at the Hall of Justice in 237 00:13:39,720 --> 00:13:44,120 Speaker 1: downtown La I got over two million votes. It was 238 00:13:44,200 --> 00:13:49,280 Speaker 1: a big victory for criminal justice reformers, the leading progressive 239 00:13:49,320 --> 00:13:52,600 Speaker 1: prosecutor in the country, taking over the movement's top target, 240 00:13:52,800 --> 00:13:55,480 Speaker 1: the largest counting in the country and one that has 241 00:13:55,520 --> 00:13:59,600 Speaker 1: long been hostile to change. Yeah, not enough cops shot 242 00:13:59,679 --> 00:14:03,640 Speaker 1: today in La County. We needed somebody who would let 243 00:14:03,720 --> 00:14:08,920 Speaker 1: out prisoners so that they would shoot cops dead. He's 244 00:14:08,960 --> 00:14:11,600 Speaker 1: never prosecuted a case, Gascon. He loved to tell people, 245 00:14:11,600 --> 00:14:14,079 Speaker 1: I was a police officer. I was a police officer 246 00:14:14,160 --> 00:14:16,760 Speaker 1: there for twenty seven years. The office has been one 247 00:14:16,800 --> 00:14:20,680 Speaker 1: of the leading incarcerators death penalty, put young kids into 248 00:14:20,720 --> 00:14:24,040 Speaker 1: adult prison. This office led the way are you kidding me? 249 00:14:25,680 --> 00:14:29,320 Speaker 1: Listen to this Back then, in the fall of twenty twenty, 250 00:14:29,320 --> 00:14:32,400 Speaker 1: after the murder of George Floyd sparked a new racial 251 00:14:32,520 --> 00:14:36,640 Speaker 1: justice movement. Being a well known advocate for criminal justice reform, 252 00:14:36,720 --> 00:14:39,520 Speaker 1: was an asset in La Black Lives Matter signs appeared 253 00:14:39,520 --> 00:14:44,880 Speaker 1: in Beverly Hills, and Gascon leaned in. I hate that 254 00:14:46,480 --> 00:14:49,720 Speaker 1: leaned in to his message of radical reform. This is 255 00:14:49,760 --> 00:14:53,640 Speaker 1: really about. This is really about beginning to sort of 256 00:14:53,760 --> 00:14:58,560 Speaker 1: dismantle systemic racism from the criminal justice system. Actually, what 257 00:14:58,600 --> 00:15:01,720 Speaker 1: he meant was it's the beginning of dismantling the criminal 258 00:15:01,840 --> 00:15:04,840 Speaker 1: justice system, because that's what he was doing. He mentioned 259 00:15:04,840 --> 00:15:07,000 Speaker 1: that Gascon did what he did. He ended the cash 260 00:15:07,040 --> 00:15:11,400 Speaker 1: ball for misdemeanors and non violent felonies. Probably went further 261 00:15:11,480 --> 00:15:13,840 Speaker 1: than that. He told his deputy Das not to seek 262 00:15:13,840 --> 00:15:16,480 Speaker 1: the death penalty anymore and never tried juveniles adults, stop 263 00:15:16,560 --> 00:15:19,560 Speaker 1: prosecuting people for first time non violent misdemeanors, and stop 264 00:15:19,680 --> 00:15:24,600 Speaker 1: using so called sentencing enhancements which allows prosecutors to pile 265 00:15:24,680 --> 00:15:26,840 Speaker 1: on jail time. Well, this writer really has it, though 266 00:15:27,200 --> 00:15:29,640 Speaker 1: he had he was unzipped for this one. And then 267 00:15:29,720 --> 00:15:33,520 Speaker 1: came the backlash. And here's what Gascon said, Oh, it 268 00:15:33,600 --> 00:15:36,760 Speaker 1: became fashionable for affluent white people to want to be 269 00:15:36,840 --> 00:15:40,400 Speaker 1: pro police accountability. This is all over the Beverly Hill 270 00:15:40,480 --> 00:15:43,840 Speaker 1: City Council passing a vote of no confidence in Gascon. 271 00:15:44,320 --> 00:15:46,920 Speaker 1: So you also are going to be want to be 272 00:15:46,960 --> 00:15:49,960 Speaker 1: seen with BLM. They want to be in demonstrations. Right. 273 00:15:50,240 --> 00:15:52,640 Speaker 1: I'm a little cynical now looking back at the time, 274 00:15:52,640 --> 00:15:55,080 Speaker 1: I actually thought that this was the parting of the waters. 275 00:15:55,360 --> 00:15:57,760 Speaker 1: I said, for the first time I'm hearing white affluent 276 00:15:57,800 --> 00:16:00,920 Speaker 1: people understanding the suffering of black people in this country 277 00:16:00,920 --> 00:16:04,000 Speaker 1: and poor people, and I thought this is a reversal. Yeah. 278 00:16:04,320 --> 00:16:06,760 Speaker 1: I think the jacolate Devant death really shook people up. 279 00:16:06,760 --> 00:16:08,960 Speaker 1: And that was right there in Beverly Hill. And she 280 00:16:09,040 --> 00:16:12,000 Speaker 1: was a black woman too, so um yeah, that's that's 281 00:16:12,000 --> 00:16:17,000 Speaker 1: what happened, is that some wealthy people or their children 282 00:16:17,560 --> 00:16:21,920 Speaker 1: got murdered, like Brianna Coope for a Pacific Palisades got 283 00:16:22,040 --> 00:16:27,360 Speaker 1: murdered in Paul Correc's district. Story. Yeah, and there is. 284 00:16:28,160 --> 00:16:31,520 Speaker 1: I mean, I've read a lot of data and one 285 00:16:31,560 --> 00:16:38,200 Speaker 1: of the last Democratic strongholds is white, upper middle class 286 00:16:38,320 --> 00:16:43,560 Speaker 1: women with college degrees. They are the most devout Democrats 287 00:16:43,640 --> 00:16:50,160 Speaker 1: and the wokest. Yeah, and um they jumped on this bandwagon. 288 00:16:50,200 --> 00:16:53,200 Speaker 1: They're the ones who put out those obnoxious lawn signs 289 00:16:53,880 --> 00:16:56,840 Speaker 1: listing their values. Oh I had them in my neighborhood. 290 00:16:56,920 --> 00:16:59,440 Speaker 1: Oh yeah yeah yeah, like no guy does that. All 291 00:16:59,520 --> 00:17:01,640 Speaker 1: right after day, I'm reading more and more stories that 292 00:17:01,720 --> 00:17:04,600 Speaker 1: Latinos are moving away from the Democrat Party that not 293 00:17:04,800 --> 00:17:07,720 Speaker 1: like in this woke stuff. That's what's funny is that 294 00:17:08,760 --> 00:17:14,360 Speaker 1: Latinos are moving towards Republicans. And one of the big 295 00:17:14,400 --> 00:17:19,080 Speaker 1: issues is crime, so are some blacks as well. It's 296 00:17:19,080 --> 00:17:21,560 Speaker 1: also the economy, which the Democrats you're ignoring and Fay 297 00:17:21,640 --> 00:17:26,119 Speaker 1: front these issues of abortion and guns and wealthy white 298 00:17:26,119 --> 00:17:30,760 Speaker 1: woke women. Well it's four four ws there. Huh, wealthy 299 00:17:30,800 --> 00:17:34,679 Speaker 1: white woke women. I like that they are insulated from 300 00:17:34,760 --> 00:17:41,440 Speaker 1: economic issues and they could indulge in whatever the chic 301 00:17:42,000 --> 00:17:45,680 Speaker 1: social movement is of the moment, also known as coastal elites. Yes, 302 00:17:45,720 --> 00:17:49,160 Speaker 1: they're the coastal elites. So that's who the Democratic Party 303 00:17:49,240 --> 00:17:52,439 Speaker 1: is centered around. That's where the wokest woke. And if 304 00:17:52,440 --> 00:17:55,840 Speaker 1: you don't believe me, go on social media and you'll see. 305 00:17:56,560 --> 00:17:59,800 Speaker 1: Now they're the ones on there preaching all the time. Well, 306 00:18:00,760 --> 00:18:04,840 Speaker 1: when you get one of their own or their daughters 307 00:18:04,920 --> 00:18:09,640 Speaker 1: getting killed by criminals who got loose from the system, 308 00:18:10,080 --> 00:18:15,080 Speaker 1: they're gonna flip real fast. The keeper quote in this 309 00:18:15,200 --> 00:18:19,240 Speaker 1: story is when Gascon was talking about how oh, and 310 00:18:19,320 --> 00:18:21,919 Speaker 1: it's more than ninety percent of his own deputy das 311 00:18:22,000 --> 00:18:24,760 Speaker 1: do not support him and want him out. So this 312 00:18:24,840 --> 00:18:28,040 Speaker 1: is what he said in La The deep state is real. 313 00:18:28,840 --> 00:18:31,880 Speaker 1: Gascon can't fire the deputy das who are so hostile 314 00:18:31,880 --> 00:18:34,760 Speaker 1: to his agenda that they have publicly endorsed the recall, 315 00:18:35,440 --> 00:18:40,040 Speaker 1: Gascon said, think about Biden coming in keeping Donald Trump's cabinet. 316 00:18:40,160 --> 00:18:43,199 Speaker 1: That's what it's like, Are you kidding me? That's what 317 00:18:43,280 --> 00:18:47,960 Speaker 1: he's comparing the Deputy das to Donald Trump's cabinet. He's 318 00:18:48,000 --> 00:18:52,120 Speaker 1: the Biden coming in. Unbelievable. Is that who you want 319 00:18:52,119 --> 00:18:56,879 Speaker 1: to compare yourself to these days? Wow? And then of 320 00:18:56,920 --> 00:18:59,240 Speaker 1: course he was asked about the Chess of Boudin recall. 321 00:18:59,480 --> 00:19:01,240 Speaker 1: One of them is stakes that Chase have made. I 322 00:19:01,320 --> 00:19:03,840 Speaker 1: learned from it, and he'll readily recognize. As he was 323 00:19:03,880 --> 00:19:06,760 Speaker 1: trying to talk to people about data. People don't care 324 00:19:06,760 --> 00:19:08,920 Speaker 1: about data. Gascoon does that all the time. He's acting 325 00:19:08,960 --> 00:19:12,320 Speaker 1: like he doesn't do that. The science is clear. Oh yeah, 326 00:19:12,359 --> 00:19:16,600 Speaker 1: this is about he's pretty Yeah, it's about emotion. Right, 327 00:19:17,080 --> 00:19:20,480 Speaker 1: your daughter gets knife to death. You're being emotional. The 328 00:19:20,600 --> 00:19:27,520 Speaker 1: data shows that this rarely happens. Oh, shut up, data. 329 00:19:27,960 --> 00:19:32,000 Speaker 1: It's it's about people getting murdered who are are living 330 00:19:32,000 --> 00:19:35,000 Speaker 1: in safe areas, who are being murdered by people that 331 00:19:35,160 --> 00:19:40,119 Speaker 1: you and your ilk let out wrongly, that you wrongly 332 00:19:40,280 --> 00:19:43,480 Speaker 1: let violent, crazy people out. These are a lot of 333 00:19:43,560 --> 00:19:46,720 Speaker 1: prosecutors whose job is to prosecute. They got a public 334 00:19:46,760 --> 00:19:49,000 Speaker 1: defender coming in here. He actually brought in his public 335 00:19:49,000 --> 00:19:52,080 Speaker 1: defender goods with them to release all the criminals. That's 336 00:19:52,119 --> 00:19:56,520 Speaker 1: not criminal justice reform. That's dismantling. That's that's absolutely crumbling 337 00:19:56,520 --> 00:20:02,200 Speaker 1: the entire system. That was quiet, wet sofa, there's water 338 00:20:02,280 --> 00:20:06,200 Speaker 1: all over the Liza. I mean, show his tongue. He 339 00:20:06,280 --> 00:20:09,040 Speaker 1: must have tongue abrasions from that. All right, We got 340 00:20:09,080 --> 00:20:11,440 Speaker 1: more coming up by John and Ken Cafine. All right again, 341 00:20:11,480 --> 00:20:14,840 Speaker 1: the breaking news this afternoon is that they have arrested 342 00:20:14,880 --> 00:20:18,159 Speaker 1: a suspect in the seven to eleven shooting robbery spree 343 00:20:18,200 --> 00:20:22,479 Speaker 1: that occurred Monday morning, very early in a number of 344 00:20:22,520 --> 00:20:26,200 Speaker 1: cities and riverside Orange Counties. This was announced by the 345 00:20:26,240 --> 00:20:29,879 Speaker 1: Orange County District Attorney's office. Todd Spitzer's expected to have 346 00:20:29,880 --> 00:20:32,359 Speaker 1: a news conference at five o'clock, which we will carry. 347 00:20:32,640 --> 00:20:34,400 Speaker 1: If we can get him on the are any earlier 348 00:20:34,440 --> 00:20:37,600 Speaker 1: to talk about any more details about this arrest. We 349 00:20:37,640 --> 00:20:39,600 Speaker 1: will do that and get him on the show, so 350 00:20:39,760 --> 00:20:41,720 Speaker 1: stand by for that. We don't know a lot except 351 00:20:41,800 --> 00:20:44,640 Speaker 1: they have announced an arrest of a suspect, and again 352 00:20:44,680 --> 00:20:48,640 Speaker 1: two people were killed. Several were wounded, including the son 353 00:20:48,760 --> 00:20:51,639 Speaker 1: of a man we interviewed yesterday. We got to go 354 00:20:51,760 --> 00:20:53,880 Speaker 1: funding on the website if you want to help him out. 355 00:20:55,520 --> 00:20:58,600 Speaker 1: I said this a couple of months ago, and you're 356 00:20:58,640 --> 00:21:03,320 Speaker 1: probably already here. This under the category of it's never 357 00:21:03,359 --> 00:21:08,320 Speaker 1: too early to talk about. It's November's ballot measures. There's 358 00:21:08,359 --> 00:21:10,800 Speaker 1: only seven, which kind of surprised me because it seemed 359 00:21:10,840 --> 00:21:13,960 Speaker 1: like the trend in California, particularly since they forced them 360 00:21:13,960 --> 00:21:17,320 Speaker 1: all to November. Now, the ballot the statewide ballot measures, 361 00:21:17,600 --> 00:21:20,640 Speaker 1: there's built a lot of them, but there's seven, and 362 00:21:21,000 --> 00:21:26,120 Speaker 1: you may you're not imagining you're already hearing ads on 363 00:21:26,119 --> 00:21:29,760 Speaker 1: one of them, which is the gambling measure. That's the 364 00:21:29,800 --> 00:21:33,760 Speaker 1: one where they want to allow online gambling. The money 365 00:21:33,760 --> 00:21:36,240 Speaker 1: that's going to be spent on this will be an 366 00:21:36,280 --> 00:21:40,440 Speaker 1: all time record. Well, you know, often the Native American 367 00:21:40,480 --> 00:21:44,040 Speaker 1: tribes are against Proposition twenty seven that's going to allow 368 00:21:44,160 --> 00:21:48,160 Speaker 1: online sports wagering, and it's from companies like fan Duel 369 00:21:48,200 --> 00:21:52,520 Speaker 1: and DraftKings, and of course in California, the tribes want 370 00:21:52,560 --> 00:21:55,800 Speaker 1: to control the gambling because that's big bucks. So they 371 00:21:55,840 --> 00:21:59,520 Speaker 1: have their own measure, Proposition twenty six. But you would 372 00:21:59,560 --> 00:22:01,440 Speaker 1: only hear, you'll only be able to go to federally 373 00:22:01,480 --> 00:22:07,240 Speaker 1: recognize Native American tribe gaming place. So the Indian tribes 374 00:22:07,320 --> 00:22:11,080 Speaker 1: want the whole betting mars. They do. They will allow 375 00:22:11,160 --> 00:22:13,800 Speaker 1: in person sports wagering, but it will be restricted to 376 00:22:13,880 --> 00:22:17,200 Speaker 1: tribal casinos and a handful of race tracks. So that's 377 00:22:17,240 --> 00:22:21,160 Speaker 1: twenty six restricts it. That's right, twenty seven big one, right, 378 00:22:21,240 --> 00:22:24,560 Speaker 1: that's it could be everywhere. That's that's that's so online 379 00:22:24,600 --> 00:22:26,800 Speaker 1: and the mold bull sports waging for those twenty one 380 00:22:26,800 --> 00:22:29,080 Speaker 1: and older. So the tribes are pushing twenty six and 381 00:22:29,119 --> 00:22:31,639 Speaker 1: they're trying to stop twenty seven. And right now, if 382 00:22:31,720 --> 00:22:33,560 Speaker 1: you if you look at the TV or you hear 383 00:22:33,600 --> 00:22:36,800 Speaker 1: the radio, you're hearing everything's about twenty seven. So the 384 00:22:36,880 --> 00:22:39,399 Speaker 1: tribes are hell bent on stopping twenty seven. I have 385 00:22:39,480 --> 00:22:42,199 Speaker 1: a question, and the gambling outfits are hell bent on 386 00:22:42,240 --> 00:22:45,600 Speaker 1: getting it passed. What if they both pass Supposedly, the 387 00:22:45,640 --> 00:22:47,639 Speaker 1: one with the most votes might be the one that 388 00:22:47,680 --> 00:22:51,440 Speaker 1: takes effect. I read a couple of different opinions, or 389 00:22:51,560 --> 00:22:54,040 Speaker 1: that they could both take effect, because you could you 390 00:22:54,040 --> 00:22:55,919 Speaker 1: could go to a tribal casino in bed or you 391 00:22:55,920 --> 00:22:58,600 Speaker 1: could just you know, bet online right, right, they're not 392 00:22:58,720 --> 00:23:01,720 Speaker 1: mutually exclusive the way I read this, But I don't 393 00:23:01,720 --> 00:23:04,200 Speaker 1: really have the answer to that. Well, you know, see, 394 00:23:04,560 --> 00:23:08,120 Speaker 1: the way anything works is the first mover usually has 395 00:23:08,119 --> 00:23:11,439 Speaker 1: the advantage, whether you're pushing a product, a company, or 396 00:23:11,600 --> 00:23:14,239 Speaker 1: sometimes ballot initiative. When you have a ballot initiative that 397 00:23:14,560 --> 00:23:17,440 Speaker 1: most people probably really don't care about or know anything, 398 00:23:17,960 --> 00:23:20,320 Speaker 1: they'll go with the first argument they hear. So if 399 00:23:20,359 --> 00:23:22,520 Speaker 1: you spend a lot of money earlier and drive it 400 00:23:22,560 --> 00:23:24,800 Speaker 1: in your people's head, hey, no on twenty seven, No 401 00:23:24,880 --> 00:23:27,080 Speaker 1: on twenty seven, no on twenty seven. You know it 402 00:23:27,080 --> 00:23:30,280 Speaker 1: gives a stink to the proposition twenty seven we're not 403 00:23:30,320 --> 00:23:33,560 Speaker 1: getting ballots from months. Yeah, he's voting right now. You 404 00:23:33,640 --> 00:23:36,080 Speaker 1: find it's a little ridiculous, You get, well, except that's 405 00:23:36,119 --> 00:23:39,439 Speaker 1: not how the human brain works. If you've repeated a 406 00:23:39,480 --> 00:23:43,560 Speaker 1: message often enough, the human brain absorbs the message, and 407 00:23:43,560 --> 00:23:45,760 Speaker 1: then when they see twenty seven, they get a little 408 00:23:45,760 --> 00:23:47,520 Speaker 1: feeling like, oh, way, I heard a lot about that. 409 00:23:47,520 --> 00:23:52,480 Speaker 1: That's a bad idea. Maybe. What I think, though, is 410 00:23:53,040 --> 00:23:54,560 Speaker 1: if you think there's a lot of ads now just 411 00:23:54,600 --> 00:23:57,439 Speaker 1: wait of September, well, good, it's good for us. There'll 412 00:23:57,480 --> 00:24:01,159 Speaker 1: be huge for us. We're one of the primary beneficiaries. 413 00:24:01,560 --> 00:24:04,360 Speaker 1: But the one I want to spend some time talking 414 00:24:04,440 --> 00:24:10,199 Speaker 1: about right now is the one that deals with the 415 00:24:10,440 --> 00:24:15,800 Speaker 1: obsession with getting California to go all electric vehicles, and 416 00:24:15,920 --> 00:24:20,760 Speaker 1: this is Proposition thirty. The Wall Street Journal put out 417 00:24:20,760 --> 00:24:25,439 Speaker 1: a great opinion on the measure this week. Like the 418 00:24:25,480 --> 00:24:30,200 Speaker 1: first paragraph, progressives in California have taken the rideshare company's 419 00:24:30,280 --> 00:24:35,119 Speaker 1: hostage to their climate agenda. Lift is trying to escape 420 00:24:35,160 --> 00:24:40,040 Speaker 1: by sticking up high income taxpayers. Witness the November ballot initiative. 421 00:24:40,040 --> 00:24:44,680 Speaker 1: The company's bankrolling to soak the affluent to subsidize electric 422 00:24:44,760 --> 00:24:47,960 Speaker 1: vehicles that the state has mandated for its drivers. So 423 00:24:48,000 --> 00:24:52,080 Speaker 1: here's the details. First of all, the title Clean Cars 424 00:24:52,119 --> 00:24:56,240 Speaker 1: and Clean Air Act, that's the name of it. Eight 425 00:24:56,400 --> 00:25:00,000 Speaker 1: million dollars came from the San Francisco based Lift Company. 426 00:25:00,040 --> 00:25:02,920 Speaker 1: Help get this on the ballot. It will raise the 427 00:25:03,000 --> 00:25:06,080 Speaker 1: top income tax rate on people who make more than 428 00:25:06,119 --> 00:25:10,200 Speaker 1: two million dollars by one point seven five percentage points. 429 00:25:10,520 --> 00:25:12,040 Speaker 1: You know what the income tax rates is going to 430 00:25:12,080 --> 00:25:15,760 Speaker 1: be on those people now, fifteen point zero five percent 431 00:25:16,560 --> 00:25:20,679 Speaker 1: fifteen fifteen, giving California the highest rate in the country 432 00:25:20,720 --> 00:25:23,040 Speaker 1: after New York. It's to get fourteen point and it's 433 00:25:23,040 --> 00:25:26,639 Speaker 1: to give poor people electric cars. That's what they're trying 434 00:25:26,640 --> 00:25:30,080 Speaker 1: to you know what. That's the reason LIFT wants to 435 00:25:30,119 --> 00:25:35,199 Speaker 1: do that is because they want their drivers to have 436 00:25:35,359 --> 00:25:38,040 Speaker 1: electric cars, and most of their drivers are on the 437 00:25:38,080 --> 00:25:41,280 Speaker 1: poorer side. That's why they're driving for Lift. That's right, 438 00:25:41,520 --> 00:25:44,480 Speaker 1: exactly right, they want so they're gonna use four and 439 00:25:44,480 --> 00:25:46,359 Speaker 1: a half three billion to four and a half billion 440 00:25:46,640 --> 00:25:49,480 Speaker 1: will go to zero emission vehicles. Love this part the 441 00:25:49,520 --> 00:25:52,000 Speaker 1: other twenty percent, because you're gonna hear this in the 442 00:25:52,000 --> 00:25:55,520 Speaker 1: commercials to wildfire prevention, okay, and this they did that. 443 00:25:55,560 --> 00:25:58,720 Speaker 1: It says here to get beyond the appeal to coastal elites, 444 00:25:59,080 --> 00:26:01,880 Speaker 1: to make other people well, particularly in wildfire regions, which 445 00:26:01,960 --> 00:26:04,600 Speaker 1: is way inland, to think, oh there's something in there 446 00:26:04,600 --> 00:26:06,760 Speaker 1: for me too, I'll vote yes. All right. There's two 447 00:26:06,800 --> 00:26:11,320 Speaker 1: evil things going on here. Lift wants to tax people 448 00:26:12,040 --> 00:26:17,440 Speaker 1: in order to benefit so it benefits their business the 449 00:26:18,000 --> 00:26:20,320 Speaker 1: rich people to help pay some of their expenses. Exactly a. 450 00:26:20,480 --> 00:26:24,040 Speaker 1: LIFT doesn't want to pay for the electric cars themselves, 451 00:26:24,359 --> 00:26:27,280 Speaker 1: so they want taxpayers to pay for the electric cars 452 00:26:27,320 --> 00:26:31,600 Speaker 1: that the LIFT drivers use. Secondly, the commercials are going 453 00:26:31,640 --> 00:26:38,840 Speaker 1: to be largely about wildfires, very little about electric cars. Yeah, 454 00:26:38,880 --> 00:26:41,679 Speaker 1: because they've done this before. There was another proposition that 455 00:26:41,760 --> 00:26:44,639 Speaker 1: passed because it made claims how they were gonna they 456 00:26:45,240 --> 00:26:49,000 Speaker 1: ran ads firefighters risking their lives in the forest, right, 457 00:26:49,040 --> 00:26:53,600 Speaker 1: the firefighters covered with dirt and soot and you know, 458 00:26:53,920 --> 00:26:57,440 Speaker 1: forty foot flames in the background. In order to create 459 00:26:57,440 --> 00:27:02,080 Speaker 1: an emotional response in people, It says, Lift and Uber 460 00:27:02,160 --> 00:27:05,040 Speaker 1: don't employ drivers directly, but they'll have no choice other 461 00:27:05,080 --> 00:27:07,720 Speaker 1: than to require drivers to lease or buy an ev 462 00:27:08,280 --> 00:27:10,800 Speaker 1: This could severely limit the supply of their drivers since 463 00:27:11,040 --> 00:27:13,640 Speaker 1: most of their drivers are very low income. Yeah, they 464 00:27:13,680 --> 00:27:15,600 Speaker 1: make an average of about thirty two grand a year. 465 00:27:15,680 --> 00:27:17,800 Speaker 1: That's their business problem. I don't care if it's just 466 00:27:17,880 --> 00:27:21,520 Speaker 1: wealthy people. That's their business problem. And the thing is 467 00:27:21,720 --> 00:27:24,359 Speaker 1: they know they wouldn't get this past just trying to 468 00:27:24,400 --> 00:27:30,640 Speaker 1: pass attacks to subsidize their electric car needs. They know 469 00:27:30,960 --> 00:27:33,200 Speaker 1: that they wouldn't be able to pass it, so they 470 00:27:33,240 --> 00:27:38,159 Speaker 1: come up with this wild fire funding cover. And I 471 00:27:38,760 --> 00:27:41,680 Speaker 1: hate that. In fact, you hear the sound here, Listen 472 00:27:41,680 --> 00:27:45,720 Speaker 1: to this. This is my lift app being deleted from 473 00:27:45,720 --> 00:27:50,960 Speaker 1: my phone. You're doing it, says delete Lift. Wow, there 474 00:27:50,960 --> 00:27:54,800 Speaker 1: you go. Gone no more, you quit LIFT. No, I 475 00:27:54,880 --> 00:28:00,520 Speaker 1: find that devious, dishonest, diabolical. That is so wrong. I mean, 476 00:28:00,640 --> 00:28:04,639 Speaker 1: if you want a tax rich people to buy to 477 00:28:04,720 --> 00:28:08,440 Speaker 1: buy electric cars for your business, Yes, that's exactly what 478 00:28:08,520 --> 00:28:11,159 Speaker 1: they're doing, sifting the cost. They run on that issue 479 00:28:11,240 --> 00:28:14,360 Speaker 1: because you'll lose, but to cover it up with a 480 00:28:14,400 --> 00:28:21,560 Speaker 1: bogus nonsense wildlife funding mechanism wildfire. Yeah, wildfire, The journal 481 00:28:21,600 --> 00:28:24,520 Speaker 1: points out to Californiasm one hundred billion dollars surplus. Yeah, 482 00:28:24,600 --> 00:28:27,840 Speaker 1: thanks to federal largess and a capital gains windfall, they 483 00:28:27,840 --> 00:28:29,960 Speaker 1: could have plenty of money to spend on EVY subsidies 484 00:28:29,960 --> 00:28:33,960 Speaker 1: without raising taxes. Yeah. But instead, they write this nicely, 485 00:28:34,119 --> 00:28:37,160 Speaker 1: they can script a business like Lift into raising taxes 486 00:28:37,200 --> 00:28:40,440 Speaker 1: for them. See that. So they got away with something 487 00:28:40,520 --> 00:28:42,719 Speaker 1: here too. They got LIFT doing their dirty work by 488 00:28:42,760 --> 00:28:46,719 Speaker 1: raising taxes on the wealthy under the guise of increasing 489 00:28:46,720 --> 00:28:50,280 Speaker 1: the electric vehicles. And LIFT works together with the News 490 00:28:50,320 --> 00:28:53,200 Speaker 1: of administration to do this that. You know, they all 491 00:28:53,240 --> 00:28:55,640 Speaker 1: sit in a room and come up with this clever plan. 492 00:28:55,760 --> 00:28:58,400 Speaker 1: It's like, well, you know, it's an election year, we 493 00:28:58,440 --> 00:29:01,280 Speaker 1: really don't want to raise taxes. Can we get you 494 00:29:01,440 --> 00:29:05,080 Speaker 1: to raise taxes by funding a ballot initiative, and LIFT 495 00:29:05,200 --> 00:29:07,560 Speaker 1: is going, Wow, I don't know. I mean, what's the 496 00:29:07,560 --> 00:29:10,080 Speaker 1: public going to think we're raising taxes just to give 497 00:29:10,120 --> 00:29:14,760 Speaker 1: our drivers electric cars? Oh? I know. Let's pretend the 498 00:29:14,840 --> 00:29:21,959 Speaker 1: money's gonna go to wildfire fighting, wildfire prevention. Well, I 499 00:29:21,960 --> 00:29:23,960 Speaker 1: think it's going to be the right. And so they'll 500 00:29:24,000 --> 00:29:27,120 Speaker 1: run commercials that make it look like a hundred percent 501 00:29:27,160 --> 00:29:30,920 Speaker 1: of the money is going for wildfire prevention, You'll see, 502 00:29:31,280 --> 00:29:33,400 Speaker 1: and then everybody goes, well, I'm for the fireman. Oh 503 00:29:33,440 --> 00:29:35,840 Speaker 1: this is terrible, isn't it, because all of California is 504 00:29:35,840 --> 00:29:41,800 Speaker 1: always burning and it's so dishonest. You got yourself an 505 00:29:41,840 --> 00:29:45,520 Speaker 1: early voter guide a no on proposition thirty. No, it's 506 00:29:45,560 --> 00:29:47,880 Speaker 1: the number it has, And there you go. Lift app 507 00:29:48,040 --> 00:29:50,400 Speaker 1: is gone from my phone. And I like Lift better 508 00:29:50,400 --> 00:29:53,240 Speaker 1: than Uber, but sorry too, And I just have to 509 00:29:53,240 --> 00:29:55,640 Speaker 1: think about it. I'm going to participate in this, all right, 510 00:29:55,680 --> 00:29:59,400 Speaker 1: we're coming up. Drive my own car, John and ken Ka. Fine, 511 00:29:59,520 --> 00:30:01,680 Speaker 1: all right. It's a bit of a surprise here in 512 00:30:01,720 --> 00:30:05,240 Speaker 1: this afternoon's breaking news, at least to me. The Elsagundo 513 00:30:05,360 --> 00:30:08,320 Speaker 1: Times is reporting two suspects have been arrested in the 514 00:30:08,360 --> 00:30:11,240 Speaker 1: string of deadly shootings at the seven eleven stores. Two 515 00:30:11,560 --> 00:30:14,480 Speaker 1: Is that right? That's what they're saying. And they're updated 516 00:30:14,600 --> 00:30:20,240 Speaker 1: about fifteen minutes ago. Now again, Orange County DA Todd 517 00:30:20,280 --> 00:30:22,840 Speaker 1: Spitzer announced the arrest. Is a news conference coming up 518 00:30:22,880 --> 00:30:26,600 Speaker 1: supposedly around five o'clock. These are the robberies and again 519 00:30:26,680 --> 00:30:29,720 Speaker 1: the date was seven eleven. Right, Well, do we have 520 00:30:29,760 --> 00:30:33,640 Speaker 1: a copycat on the loose or is this a team? 521 00:30:34,520 --> 00:30:36,600 Speaker 1: I didn't hear it. I didn't hear in any of 522 00:30:36,600 --> 00:30:39,440 Speaker 1: the stories of the surveillance picture was one guy, right, 523 00:30:40,280 --> 00:30:44,800 Speaker 1: Every story was about one guy. I take to tell you, 524 00:30:44,880 --> 00:30:49,520 Speaker 1: taken the victim by surprise and you shoot him. Now 525 00:30:49,560 --> 00:30:54,320 Speaker 1: I have another theory because this wasn't just the seven 526 00:30:54,320 --> 00:30:57,560 Speaker 1: eleven stores. There was some robberies in the north San 527 00:30:57,600 --> 00:31:02,440 Speaker 1: Fernando Valley that they thought might be related. They're listing 528 00:31:02,440 --> 00:31:06,200 Speaker 1: the robberies here as Breya, Lahabra, Riverside, Upland, Santa and Ontario. 529 00:31:06,280 --> 00:31:09,040 Speaker 1: Most of those are seven elevens. But and it's two 530 00:31:09,040 --> 00:31:12,600 Speaker 1: people dead and three injured. Is it possible that even 531 00:31:12,640 --> 00:31:15,320 Speaker 1: though they thought it might be the same robbert, But 532 00:31:15,360 --> 00:31:16,960 Speaker 1: what are the odds of if it's two different robbers? 533 00:31:16,960 --> 00:31:20,240 Speaker 1: They caught them both. I don't know. I will have 534 00:31:20,240 --> 00:31:23,400 Speaker 1: to wait and see. This is they're reporting two suspects. 535 00:31:23,960 --> 00:31:28,640 Speaker 1: I don't know. Maybe maybe has an accomplice that was 536 00:31:28,680 --> 00:31:33,160 Speaker 1: doing something like a getaway car or yeah, well we'll 537 00:31:33,200 --> 00:31:36,440 Speaker 1: find out. Todd Spitzer is going to do a news 538 00:31:36,440 --> 00:31:39,160 Speaker 1: conference at five o'clock and if we can get any 539 00:31:39,160 --> 00:31:41,719 Speaker 1: information out of his office earlier, we'll give it to you. 540 00:31:41,960 --> 00:31:44,880 Speaker 1: Our news department's working on it, so we got you covered. 541 00:31:45,280 --> 00:31:47,920 Speaker 1: We are going to talk about the Starbucks closure in 542 00:31:47,960 --> 00:31:51,280 Speaker 1: the three o'clock hour. Predictably, the Alstagondo Times do one 543 00:31:51,280 --> 00:31:53,280 Speaker 1: of those stories where they talk to people that that 544 00:31:53,480 --> 00:31:57,280 Speaker 1: doubts it's really for safety reasons, really, because a couple 545 00:31:57,280 --> 00:31:59,959 Speaker 1: of blocks away there's another Starbucks and that one's staying open, 546 00:32:00,000 --> 00:32:03,880 Speaker 1: and there those people are out there and they're the 547 00:32:03,960 --> 00:32:10,959 Speaker 1: hardcore progressives. Because clearly this is a black mark against 548 00:32:11,000 --> 00:32:15,120 Speaker 1: this progressive social justice reform movement. It is. It's a 549 00:32:15,280 --> 00:32:17,560 Speaker 1: terrible black mark because now you have a major company 550 00:32:17,600 --> 00:32:21,040 Speaker 1: closing up shops, just like Walgreens was in San Francisco. 551 00:32:21,320 --> 00:32:26,120 Speaker 1: So everything that sane people have been saying is turning 552 00:32:26,280 --> 00:32:29,480 Speaker 1: out to be true that businesses eventually won't put up 553 00:32:29,480 --> 00:32:31,800 Speaker 1: with this, and they're gonna want to get out of business, 554 00:32:31,880 --> 00:32:34,000 Speaker 1: get out of town. They're they're not going to just 555 00:32:34,120 --> 00:32:37,080 Speaker 1: let their employees and their customers die in a hail 556 00:32:37,120 --> 00:32:39,920 Speaker 1: of bullets one day. So of course these little weasels 557 00:32:39,920 --> 00:32:42,800 Speaker 1: come up and saying, well, actually, it's because it's Starbucks 558 00:32:43,920 --> 00:32:48,120 Speaker 1: is taking retaliation against those stores that are unionizing. I 559 00:32:48,160 --> 00:32:50,600 Speaker 1: saw this in the comments on the next door app. 560 00:32:51,440 --> 00:32:54,960 Speaker 1: Somebody was complaining. Yeah, and as somebody's complaining, not complaining 561 00:32:55,080 --> 00:32:58,800 Speaker 1: or just writing about the Starbucks and Santa Monica closing, 562 00:32:58,840 --> 00:33:01,400 Speaker 1: isn't this terrible? We we got to do something about 563 00:33:01,400 --> 00:33:03,840 Speaker 1: gascone blah blah blah, all that right, And then I'm 564 00:33:03,880 --> 00:33:07,040 Speaker 1: just scrolling through the comments looking for you for golden nuggets, 565 00:33:07,240 --> 00:33:09,640 Speaker 1: and there there it is. There is one woman, maybe 566 00:33:09,640 --> 00:33:13,560 Speaker 1: about seventeen comments down. No, this isn't true. It's because 567 00:33:13,880 --> 00:33:18,480 Speaker 1: Starbucks is anti union and they're closing stores that are 568 00:33:18,520 --> 00:33:21,440 Speaker 1: planning to unionize. Oh this is in the Time story. Yes, 569 00:33:21,520 --> 00:33:25,400 Speaker 1: Oh yeah, I know. Well, because we're doing hardcore progressives work. 570 00:33:25,480 --> 00:33:27,920 Speaker 1: They work at the LA Times. So this is their 571 00:33:28,360 --> 00:33:32,840 Speaker 1: talking point to fuck up the issue, to change down 572 00:33:32,920 --> 00:33:35,720 Speaker 1: the safety issue, right, to change the subject because there's 573 00:33:35,720 --> 00:33:38,320 Speaker 1: something something I found even worse than there was the 574 00:33:38,320 --> 00:33:40,080 Speaker 1: comment by a couple of people, well, you know that's 575 00:33:40,120 --> 00:33:42,960 Speaker 1: life in the big city. Now, the acceptance there is, 576 00:33:42,960 --> 00:33:45,680 Speaker 1: so we'll get into all of this. There is that progressives. 577 00:33:45,720 --> 00:33:49,600 Speaker 1: I see pull that all the time, that when you 578 00:33:49,680 --> 00:33:52,040 Speaker 1: when you when you start talking about how terrible the 579 00:33:52,040 --> 00:33:55,000 Speaker 1: crime is, well, letty mix bat. Crime has been around 580 00:33:55,000 --> 00:33:57,760 Speaker 1: in the big cities, you know, all our lives, and 581 00:33:58,040 --> 00:34:02,400 Speaker 1: it's like, no, no, sorry, we don't have to put 582 00:34:02,480 --> 00:34:05,360 Speaker 1: up with any crime. We should do everything we can 583 00:34:05,520 --> 00:34:08,560 Speaker 1: to reduce it to the barrassed minimum. We have some 584 00:34:08,600 --> 00:34:10,960 Speaker 1: audio we hope we can hear it well from the 585 00:34:11,000 --> 00:34:14,760 Speaker 1: CEO of Starbucks talking about the closures that'll come away 586 00:34:14,840 --> 00:34:19,520 Speaker 1: right after three o'clock. We're all watching John Coblt very 587 00:34:19,520 --> 00:34:23,319 Speaker 1: carefully to see if he pitches over. The story he 588 00:34:23,360 --> 00:34:25,799 Speaker 1: brought to us after his return from vacation has now 589 00:34:25,840 --> 00:34:29,240 Speaker 1: gone national. This is the recall of an ice cream 590 00:34:29,280 --> 00:34:31,719 Speaker 1: brand I never heard of before, with an odd name, 591 00:34:32,160 --> 00:34:37,120 Speaker 1: Big Oloff. Big Ooff is based in sarah Soto. That's 592 00:34:37,120 --> 00:34:40,040 Speaker 1: where I went on vacation. My wife's family lived there 593 00:34:40,040 --> 00:34:42,960 Speaker 1: for decades, so we went back there for a trip, 594 00:34:43,680 --> 00:34:47,960 Speaker 1: and my wife kept eyeing the Big o Off Creamery. 595 00:34:48,680 --> 00:34:51,200 Speaker 1: So there's a store, because this is all about like 596 00:34:51,239 --> 00:34:53,840 Speaker 1: they sell it, I guess nationwide and wells containers and 597 00:34:53,920 --> 00:34:56,680 Speaker 1: the grocery store. Yeah, it's it's a brand. And then 598 00:34:56,719 --> 00:35:00,000 Speaker 1: they have outlets ice cream shops. Right, we got order 599 00:35:00,080 --> 00:35:02,160 Speaker 1: and sit and enjoy or you know, you can go. 600 00:35:02,239 --> 00:35:04,120 Speaker 1: I didn't realize they were in the grocery store because 601 00:35:04,280 --> 00:35:06,359 Speaker 1: I don't have to grocery shopping in Florida very much. 602 00:35:06,760 --> 00:35:09,399 Speaker 1: But it looks like I think they're nationwide. I don't 603 00:35:09,440 --> 00:35:12,200 Speaker 1: know they're here in California. Some of these illnesses are 604 00:35:12,200 --> 00:35:15,280 Speaker 1: being reported outside of Florida. And the Big Olof Creamery 605 00:35:16,400 --> 00:35:21,160 Speaker 1: is based in a small Amish community in Sarasota. They 606 00:35:21,320 --> 00:35:24,799 Speaker 1: produce all the ice cream in their little community. That's 607 00:35:24,800 --> 00:35:29,240 Speaker 1: their business. What did they do? Wows Listeria and listen 608 00:35:29,280 --> 00:35:34,799 Speaker 1: to this. Twenty two hospitalizations, one death and one fetal loss. Yeah, 609 00:35:34,880 --> 00:35:40,280 Speaker 1: it's it's he causes miscarriages and still births from unpregnant women. 610 00:35:40,719 --> 00:35:46,160 Speaker 1: Listeria mono's cytogenes is an organism which you can cause 611 00:35:46,160 --> 00:35:49,880 Speaker 1: serious and sometimes fatal infections and young children frail or 612 00:35:49,920 --> 00:35:54,520 Speaker 1: elderly people and others with weakened immune systems. Although helping 613 00:35:54,520 --> 00:35:57,200 Speaker 1: individuals can suffer only short term symptoms like high fever, 614 00:35:57,800 --> 00:36:00,759 Speaker 1: severe head eggs, stiffness, nausea, abdomin, little pain, and good 615 00:36:00,760 --> 00:36:04,920 Speaker 1: old diarrhea. Listeria infection can cause miscarriages and still births 616 00:36:04,920 --> 00:36:07,439 Speaker 1: among pregnant birth yea, so we went to Big old Off. 617 00:36:07,800 --> 00:36:10,640 Speaker 1: You ate a lot of old Off? Yeah, I think 618 00:36:10,880 --> 00:36:13,799 Speaker 1: it's now three weeks since I consumed a big old off. 619 00:36:14,040 --> 00:36:15,880 Speaker 1: And you were saying that it could take longer for 620 00:36:15,960 --> 00:36:18,800 Speaker 1: too much go up two months? What is it growing 621 00:36:18,800 --> 00:36:20,640 Speaker 1: inside you? If you have it and then it starts 622 00:36:20,640 --> 00:36:23,960 Speaker 1: to affect your health, I guess I guess it could 623 00:36:24,000 --> 00:36:27,440 Speaker 1: be reproducing right now. And I went Sagan says, don't 624 00:36:27,520 --> 00:36:29,840 Speaker 1: eat you know that's right evere ice cream. Yeah, I 625 00:36:29,880 --> 00:36:32,160 Speaker 1: don't have to worry about that kind of thing. There's 626 00:36:32,160 --> 00:36:35,600 Speaker 1: one on Catalina Island, does it big all Off? Just 627 00:36:35,640 --> 00:36:38,600 Speaker 1: looked it up. Oh kidding, look at that, John They 628 00:36:38,640 --> 00:36:41,160 Speaker 1: I mean they have a lot in Florida. Yeah, there's 629 00:36:41,239 --> 00:36:43,400 Speaker 1: an illness they think in Ohio. But yes, most of 630 00:36:43,400 --> 00:36:46,480 Speaker 1: the most of the cases and most of the stuff 631 00:36:46,560 --> 00:36:48,320 Speaker 1: is sold in Florida. Well, some of them could be 632 00:36:48,400 --> 00:36:52,800 Speaker 1: tourists who went to Florida and then caught the listeria 633 00:36:52,880 --> 00:36:54,920 Speaker 1: and then a few weeks later, it says here they 634 00:36:55,040 --> 00:36:57,160 Speaker 1: a lot of it went to senior homes in Florida. 635 00:36:57,280 --> 00:37:00,839 Speaker 1: They buy the ice cream. Oh you have the fram 636 00:37:00,880 --> 00:37:03,840 Speaker 1: immune system, but they don't have enough problem with the 637 00:37:03,880 --> 00:37:06,560 Speaker 1: COVID app right, So they halted production and distribution of 638 00:37:06,600 --> 00:37:09,280 Speaker 1: all their products for now, and they put the recall 639 00:37:09,400 --> 00:37:13,280 Speaker 1: numbers out for the batches that they believe were contamidated. 640 00:37:13,880 --> 00:37:16,720 Speaker 1: But it says here customers who purchased a big oloff, 641 00:37:17,160 --> 00:37:18,759 Speaker 1: Is there actually a guy that's a big old off? 642 00:37:19,239 --> 00:37:21,560 Speaker 1: I think they have a logo that there's a big 643 00:37:21,560 --> 00:37:24,000 Speaker 1: old off guy. Although the place that we've gone to, 644 00:37:24,200 --> 00:37:27,319 Speaker 1: we've gone to for over twenty years, and it's the 645 00:37:27,360 --> 00:37:30,160 Speaker 1: same guy who works there. And I just thought he 646 00:37:30,239 --> 00:37:33,000 Speaker 1: was all off, oh, because he looks like an old 647 00:37:33,120 --> 00:37:35,560 Speaker 1: store right, yeah, yeah, yeah, he's an older guy. He's 648 00:37:35,640 --> 00:37:39,960 Speaker 1: kind of hunched over, he's balding, he's got like like 649 00:37:40,760 --> 00:37:44,520 Speaker 1: a big nose and a big chin, you know, and 650 00:37:44,520 --> 00:37:46,680 Speaker 1: he just looked like a cartoon character. And I just thought, 651 00:37:46,719 --> 00:37:48,879 Speaker 1: my head, will them must be big Oloff, and who 652 00:37:48,920 --> 00:37:52,240 Speaker 1: makes us again? What people the Amish? So is Olof 653 00:37:52,320 --> 00:37:55,640 Speaker 1: an Amish name? You think maybe it's German? It is. 654 00:37:56,239 --> 00:37:59,640 Speaker 1: I think the Chancellor Germany's his name is Olof. The 655 00:37:59,719 --> 00:38:01,640 Speaker 1: log was a guy with a black beard and a 656 00:38:01,680 --> 00:38:06,520 Speaker 1: black hat, so that fits the Amish description. I never 657 00:38:06,560 --> 00:38:10,960 Speaker 1: I didn't remember the logo. He's the snowman in the cartoon, right, 658 00:38:10,960 --> 00:38:15,359 Speaker 1: So I thought I thought it was the manager of 659 00:38:15,400 --> 00:38:17,359 Speaker 1: this ice cream shop. I thought he was Big Old 660 00:38:17,360 --> 00:38:19,719 Speaker 1: Off because I never saw another Big Old Off ice 661 00:38:19,760 --> 00:38:23,319 Speaker 1: cream shop, what like Big Tony sandwiches. Yeah, it's just 662 00:38:23,400 --> 00:38:26,680 Speaker 1: one guy. Like you know, if I started a burger joint, 663 00:38:26,719 --> 00:38:32,799 Speaker 1: I'd called Big John's Burgers. Well, he's right, because back 664 00:38:32,760 --> 00:38:34,560 Speaker 1: he's been a place called Carvel that it was named 665 00:38:34,600 --> 00:38:37,360 Speaker 1: after Tom Carvel. Yeah, who was the founder? Right? Sure? 666 00:38:37,640 --> 00:38:40,040 Speaker 1: All right, when we come back, we'll take a closer 667 00:38:40,040 --> 00:38:42,600 Speaker 1: look at Starbucks. We have audio of the CEO talking 668 00:38:42,600 --> 00:38:45,520 Speaker 1: about those closures being related to safety issues. He was 669 00:38:45,520 --> 00:38:49,080 Speaker 1: actually recorded at an internal meeting. And then they also 670 00:38:49,080 --> 00:38:51,640 Speaker 1: gondo times ways in because people on the West Side 671 00:38:51,719 --> 00:38:54,000 Speaker 1: now they can't get their coffee at their favorite Starbucks 672 00:38:54,000 --> 00:38:56,200 Speaker 1: and they're wondering if this is really just a cover 673 00:38:56,280 --> 00:38:58,640 Speaker 1: for another reason for closing the stores. It's all coming up. 674 00:38:58,680 --> 00:39:02,320 Speaker 1: And then there's a little Debbie's cake. Yes, but I 675 00:39:02,360 --> 00:39:05,400 Speaker 1: don't eat those anymore. Oh no, they're not. They're in 676 00:39:05,640 --> 00:39:10,239 Speaker 1: they're Yeah, there's gary eggs or something. We need to 677 00:39:10,239 --> 00:39:14,799 Speaker 1: have Little Debbie Vegan cakes, Little Debbie Vegan cakes. John 678 00:39:14,800 --> 00:39:17,720 Speaker 1: and Ken show Little Debbie Vegan cakes as the news 679 00:39:18,000 --> 00:39:20,279 Speaker 1: KF I am six forty. 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