1 00:00:00,600 --> 00:00:02,000 Speaker 1: Caf I Am six forty. 2 00:00:02,040 --> 00:00:04,240 Speaker 2: You're listening to the John and Ken Show on demand 3 00:00:04,320 --> 00:00:10,360 Speaker 2: on the iHeartRadio app around the radio from one until four, 4 00:00:10,880 --> 00:00:13,119 Speaker 2: but after four o'clock you can catch up on what 5 00:00:13,160 --> 00:00:16,000 Speaker 2: you missed by going to the iHeart app for the 6 00:00:16,079 --> 00:00:18,240 Speaker 2: John and Ken podcast John and Ken on Demand. 7 00:00:18,280 --> 00:00:21,000 Speaker 3: It's called Yeah, Well, We're gonna go back in time 8 00:00:21,040 --> 00:00:22,800 Speaker 3: for a moment. Debbie and I were in a back 9 00:00:22,800 --> 00:00:26,880 Speaker 3: and forth texting because some listeners John say, it's a 10 00:00:26,920 --> 00:00:29,400 Speaker 3: myth that the birds will come back and kill the 11 00:00:29,440 --> 00:00:32,640 Speaker 3: baby bird that got handled by human beings. It's a myth, 12 00:00:32,760 --> 00:00:35,960 Speaker 3: they say, because we were talking remember about the bison 13 00:00:36,000 --> 00:00:38,320 Speaker 3: that had to be euthanized at Yellowstone, Right, and that 14 00:00:38,920 --> 00:00:40,640 Speaker 3: evolved into a discussion of birds. 15 00:00:40,720 --> 00:00:44,040 Speaker 1: Huh Right, But you said your family, Oh what happened? 16 00:00:44,120 --> 00:00:45,839 Speaker 1: You know, something killed that bird and it wasn't me. 17 00:00:46,320 --> 00:00:48,519 Speaker 1: And that happened to me too. I remember something. 18 00:00:48,360 --> 00:00:50,199 Speaker 3: Ripped through the screen and killed it. Maybe it was 19 00:00:50,240 --> 00:00:51,839 Speaker 3: some other type of animal. I wasn't there, and we 20 00:00:51,880 --> 00:00:55,320 Speaker 3: didn't have surveillance cameras back then, but we thought it 21 00:00:55,440 --> 00:00:56,040 Speaker 3: was that. 22 00:00:56,120 --> 00:01:01,680 Speaker 1: If a human touches a bird, then get rejected. Yeah, 23 00:01:01,760 --> 00:01:04,760 Speaker 1: but I did google and it does say it's a myth. 24 00:01:04,840 --> 00:01:08,240 Speaker 1: But who knows? I mean, I don't know. And everything 25 00:01:08,240 --> 00:01:11,200 Speaker 1: at Google's true, isn't it. That's exactly I live my 26 00:01:11,280 --> 00:01:13,600 Speaker 1: life by Google. You can't trust anything. 27 00:01:13,959 --> 00:01:19,360 Speaker 3: You can't Right at this moment, I guess they're underway 28 00:01:19,440 --> 00:01:23,360 Speaker 3: the Twitter excitement, John Elon Musk and Ron DeSantis. 29 00:01:23,400 --> 00:01:28,319 Speaker 1: It's Twitter excitement hasn't ever started yet. No, Eric's monitoring it. 30 00:01:28,400 --> 00:01:34,080 Speaker 2: Yes, any good audio you grab, they know he's gonna runs. 31 00:01:34,440 --> 00:01:38,039 Speaker 1: He's quite a jokester. But what's he gonna call Trump? Right? 32 00:01:38,760 --> 00:01:42,080 Speaker 1: Orange hair, clown head? That would come good, That would 33 00:01:42,160 --> 00:01:42,720 Speaker 1: be great. 34 00:01:43,280 --> 00:01:45,759 Speaker 2: I'm waiting for somebody to do that, to run against 35 00:01:45,959 --> 00:01:49,120 Speaker 2: Trump and just call him a bunch of ridiculous nicknames. 36 00:01:50,440 --> 00:01:51,120 Speaker 1: What would he do? 37 00:01:52,800 --> 00:01:55,560 Speaker 3: He might laugh, because he does. I think he understands 38 00:01:55,560 --> 00:01:57,160 Speaker 3: the entertainment value of all this. 39 00:01:57,280 --> 00:01:59,640 Speaker 1: I think he does. I I don't know. I've given 40 00:01:59,720 --> 00:02:04,600 Speaker 1: up psychologically analyzed. Well don't you want to do? It's what? 41 00:02:04,600 --> 00:02:08,520 Speaker 1: But who do we have on? 42 00:02:08,600 --> 00:02:11,600 Speaker 3: John McKinney, John McKinney the first hour, But he said, 43 00:02:11,880 --> 00:02:15,120 Speaker 3: if you Charlate County Deputy DA and candidate for DA, I. 44 00:02:15,120 --> 00:02:17,440 Speaker 2: Love He was talking about guyscon I love his quote 45 00:02:17,480 --> 00:02:19,239 Speaker 2: so much. I want to remember this. If you try 46 00:02:19,280 --> 00:02:21,400 Speaker 2: to explain crazy, you just sound crazy yourself. 47 00:02:21,600 --> 00:02:23,519 Speaker 1: It's a very good point. 48 00:02:23,520 --> 00:02:27,040 Speaker 3: I'm trying to explain why this policy of releasing and 49 00:02:27,120 --> 00:02:30,440 Speaker 3: not charging people and standing by the criminals and not 50 00:02:30,480 --> 00:02:31,079 Speaker 3: the victims. 51 00:02:31,120 --> 00:02:32,760 Speaker 2: It was a really good interview with him, we did 52 00:02:32,800 --> 00:02:35,520 Speaker 2: in the one o'clock hours, So that's definitely something to 53 00:02:35,840 --> 00:02:36,240 Speaker 2: listen to. 54 00:02:36,360 --> 00:02:37,959 Speaker 1: Right at the start of the poet, and here's. 55 00:02:37,720 --> 00:02:40,920 Speaker 3: The teaser, he gave us an incredible statistic when it 56 00:02:41,000 --> 00:02:44,079 Speaker 3: comes to who are the victims of crime in Los 57 00:02:44,080 --> 00:02:47,359 Speaker 3: Angeles County, Well, four percent of LA County is made 58 00:02:47,440 --> 00:02:49,680 Speaker 3: up of black females and they are thirty three percent 59 00:02:49,680 --> 00:02:50,760 Speaker 3: of the homicide victims. 60 00:02:50,840 --> 00:02:53,679 Speaker 1: Think about that, So where's the justice in that? Yeah? 61 00:02:53,720 --> 00:02:57,360 Speaker 2: No, the guest guns a horrible racist and he's allowing 62 00:02:57,480 --> 00:03:01,480 Speaker 2: allowing for the slaughter of black women in Los Angeles County. 63 00:03:01,480 --> 00:03:03,520 Speaker 1: That's what he's doing. That's what the statistics show. 64 00:03:03,600 --> 00:03:06,160 Speaker 2: Wouldn't you say, you're four percent of the population, you're 65 00:03:06,160 --> 00:03:07,280 Speaker 2: one third of the murders. 66 00:03:07,480 --> 00:03:10,280 Speaker 1: Somebody is allowing an entire slaughter to go on. 67 00:03:10,560 --> 00:03:11,919 Speaker 3: All right, So if you want to hear that it'll 68 00:03:11,960 --> 00:03:14,239 Speaker 3: be posted up after four o'clock. It was the first 69 00:03:14,280 --> 00:03:17,680 Speaker 3: hour of the John and Ken Show. Two stories came together. 70 00:03:17,720 --> 00:03:17,840 Speaker 4: Here. 71 00:03:17,880 --> 00:03:19,480 Speaker 3: I just got a press release from the City of 72 00:03:19,520 --> 00:03:23,320 Speaker 3: Los Angeles and it combines with another story that was 73 00:03:23,360 --> 00:03:25,640 Speaker 3: sent to us. Here's the press release. 74 00:03:26,120 --> 00:03:27,480 Speaker 1: Are you ready? The City of. 75 00:03:27,520 --> 00:03:30,679 Speaker 3: LA is launching their Heat Relief four the Number four 76 00:03:30,840 --> 00:03:34,880 Speaker 3: LA campaign twenty twenty three. I didn't know this, but John, 77 00:03:35,200 --> 00:03:40,880 Speaker 3: May twenty six is National Heat Awareness Day. 78 00:03:41,120 --> 00:03:45,280 Speaker 1: Apparently it is. There is a day for everything. Now, 79 00:03:45,880 --> 00:03:46,400 Speaker 1: what is that? 80 00:03:46,520 --> 00:03:46,680 Speaker 4: Is that? 81 00:03:47,360 --> 00:03:49,480 Speaker 3: Actually the other day was National Hemorrhoid Day and I 82 00:03:49,560 --> 00:03:54,240 Speaker 3: celebrated on Just kidding. They have launched Heat Relief for 83 00:03:54,440 --> 00:03:58,080 Speaker 3: LA campaign and they've actually released a Heat Relief for 84 00:03:58,320 --> 00:03:59,160 Speaker 3: LA toolkit. 85 00:04:00,120 --> 00:04:00,880 Speaker 1: Sure what that is? 86 00:04:01,680 --> 00:04:06,040 Speaker 3: The heat The Heat Relief tool Kit shares innovative life 87 00:04:06,080 --> 00:04:10,400 Speaker 3: protecting resources designed to address the single largest cause of 88 00:04:10,600 --> 00:04:11,920 Speaker 3: climate related. 89 00:04:11,600 --> 00:04:12,960 Speaker 1: Deaths and hospital business. 90 00:04:14,600 --> 00:04:17,120 Speaker 3: Fifty of those who perish as a result of heat 91 00:04:17,120 --> 00:04:20,719 Speaker 3: waves are the unhoused, you know, nationwide, they say. 92 00:04:20,640 --> 00:04:23,120 Speaker 2: Way more people. And you're in Lombard, who we had 93 00:04:23,200 --> 00:04:25,839 Speaker 2: on the show earlier this week. He's a climate researcher. 94 00:04:26,360 --> 00:04:29,280 Speaker 2: He pointed this out years ago. Way more people die 95 00:04:29,320 --> 00:04:33,760 Speaker 2: in this world of excessive cold and excessive heat. This 96 00:04:33,839 --> 00:04:36,479 Speaker 2: whole notion that the climate change is going to bring 97 00:04:36,600 --> 00:04:41,560 Speaker 2: more deaths is ridiculous. It's it's it's cold weather that's 98 00:04:41,600 --> 00:04:44,120 Speaker 2: the problem, not hot weather. It's easy to cool yourself. 99 00:04:44,800 --> 00:04:49,960 Speaker 1: So slate dot com did a great story. Last week. 100 00:04:50,880 --> 00:04:54,520 Speaker 3: LA Department of Transportation officials held a big press conference 101 00:04:55,160 --> 00:05:01,400 Speaker 3: to proudly unveil an exciting improvement the dangerous experience of 102 00:05:01,520 --> 00:05:04,080 Speaker 3: riding the bus in Los Angeles. Are we talking about 103 00:05:04,920 --> 00:05:10,599 Speaker 3: the crime, No, we're talking about shade. They introduced a 104 00:05:10,680 --> 00:05:15,840 Speaker 3: new structure which is called La Sambrita, which is a 105 00:05:15,920 --> 00:05:20,200 Speaker 3: shade and lighting pilot. It's part of their don't laugh, 106 00:05:20,320 --> 00:05:23,240 Speaker 3: this is a real story. Their gender equity action plan 107 00:05:23,279 --> 00:05:26,520 Speaker 3: to address the needs of women who rely on public transit. 108 00:05:27,680 --> 00:05:29,400 Speaker 1: So if you look at the picture, and I don't know, 109 00:05:29,400 --> 00:05:30,000 Speaker 1: if you looked at. 110 00:05:29,880 --> 00:05:33,760 Speaker 3: The picture, job, yeah, I did gender head equity. Yes, 111 00:05:34,680 --> 00:05:39,279 Speaker 3: it's supposed to help women find shade at the bus 112 00:05:39,360 --> 00:05:42,200 Speaker 3: stops because of the upcoming oppressive heat. 113 00:05:42,320 --> 00:05:46,520 Speaker 1: And men can't use this shade. I don't know. Only 114 00:05:46,560 --> 00:05:48,000 Speaker 1: women need shade, not men. 115 00:05:48,320 --> 00:05:50,799 Speaker 3: I got the impression they believe there's a disproportionate amount 116 00:05:50,800 --> 00:05:52,400 Speaker 3: of women that ride the buses. 117 00:05:52,480 --> 00:05:57,240 Speaker 1: I don't know working women. That's ridiculous. 118 00:05:57,279 --> 00:05:59,719 Speaker 3: But what stands out is the object. When you're looking 119 00:05:59,760 --> 00:06:03,640 Speaker 3: at it, you wouldn't know. It's hard to even describe. 120 00:06:03,720 --> 00:06:07,160 Speaker 3: It's attached to a metal pole and it's like a 121 00:06:07,200 --> 00:06:09,760 Speaker 3: screen material with a curve on it, but it's not 122 00:06:09,880 --> 00:06:12,919 Speaker 3: very big. You're supposed to stand under that for a 123 00:06:12,920 --> 00:06:15,039 Speaker 3: little bit of shade? Is that the idea. 124 00:06:15,320 --> 00:06:20,880 Speaker 2: I looked at the photos of what this bus shelter 125 00:06:21,000 --> 00:06:22,839 Speaker 2: is supposed to be, and I just didn't even understand 126 00:06:22,839 --> 00:06:23,719 Speaker 2: the product. 127 00:06:24,520 --> 00:06:27,479 Speaker 3: Nobody did it got I mocked on social media left 128 00:06:27,520 --> 00:06:30,080 Speaker 3: and right because it looks pathetic. Here it is a 129 00:06:30,160 --> 00:06:33,960 Speaker 3: popsicle shaped metal grate twenty four inches wide, bolted to 130 00:06:34,000 --> 00:06:36,279 Speaker 3: the top of a bus pole near the edge of 131 00:06:36,279 --> 00:06:40,800 Speaker 3: a curb. A street blog reporter snapped a photo of 132 00:06:40,839 --> 00:06:43,320 Speaker 3: the little shadow and shared it to the world on Twitter. 133 00:06:44,000 --> 00:06:46,960 Speaker 3: It wasn't long before disbelieving users started throwing a different 134 00:06:47,080 --> 00:06:50,719 Speaker 3: kind of shade. They started making fun of it. Well, 135 00:06:51,000 --> 00:06:53,359 Speaker 3: it looks kind of stupid. I don't see what the problem. 136 00:06:53,400 --> 00:06:55,480 Speaker 1: Why did you build a roof over the shelter? 137 00:06:55,800 --> 00:06:57,719 Speaker 3: That's what everyone said. Why don't you build an actual 138 00:06:57,800 --> 00:07:00,839 Speaker 3: bus shelter? Okay, Well, did you read the article. Apparently 139 00:07:00,839 --> 00:07:05,080 Speaker 3: they ran into incredible problems with the stupid City of 140 00:07:05,320 --> 00:07:10,440 Speaker 3: La rules and ordinances, and they kept getting stopped everywhere 141 00:07:10,440 --> 00:07:13,400 Speaker 3: they went in terms of how large an object they 142 00:07:13,400 --> 00:07:14,960 Speaker 3: could build and where they could build it. 143 00:07:15,880 --> 00:07:18,320 Speaker 1: But I'm serious, if you read this article, let me see. Yeah, 144 00:07:18,360 --> 00:07:23,000 Speaker 1: I did. It's just I just couldn't understand the product. 145 00:07:24,200 --> 00:07:26,640 Speaker 3: Well, they're saying that the product ended up that way 146 00:07:26,640 --> 00:07:29,400 Speaker 3: because of all the rules and regulations that they ran into. 147 00:07:29,640 --> 00:07:32,840 Speaker 1: What kind of regulations do you have on a little 148 00:07:34,080 --> 00:07:37,480 Speaker 1: defur the roof for a bus stop? I don't What's what's. 149 00:07:37,280 --> 00:07:40,320 Speaker 3: The structure couldn't have a wide canopy because it would 150 00:07:40,360 --> 00:07:43,760 Speaker 3: protrude onto the road or into the four feet of 151 00:07:43,840 --> 00:07:46,200 Speaker 3: sidewalk clearance reserved for wheelchair users. 152 00:07:46,520 --> 00:07:48,960 Speaker 1: It had to be perforated so the wind wouldn't blow 153 00:07:48,960 --> 00:07:51,600 Speaker 1: it over. It couldn't have seats because the bench would 154 00:07:51,600 --> 00:07:54,400 Speaker 1: cut into the clearance, and the firm couldn't move the 155 00:07:54,440 --> 00:07:56,800 Speaker 1: structure over the benches that were already on that street 156 00:07:56,840 --> 00:07:59,680 Speaker 1: because that would spur a six month review process by 157 00:07:59,680 --> 00:08:00,880 Speaker 1: these departments. 158 00:08:00,960 --> 00:08:04,720 Speaker 2: You know, maybe the person standing of the bus shelters 159 00:08:04,720 --> 00:08:07,920 Speaker 2: should bring their own little parasol. Maybe it's up to them, 160 00:08:07,960 --> 00:08:09,840 Speaker 2: it's not up to the city and the taxpayer to 161 00:08:09,840 --> 00:08:11,160 Speaker 2: figure this out, or. 162 00:08:12,040 --> 00:08:14,360 Speaker 3: How they try to micromanage what they think of the 163 00:08:14,400 --> 00:08:15,720 Speaker 3: lives of the underprivilege. 164 00:08:15,760 --> 00:08:18,840 Speaker 1: Why do we owe people shade? Why don't you go 165 00:08:18,960 --> 00:08:25,080 Speaker 1: get a job and buy a car. I don't understand. 166 00:08:27,080 --> 00:08:29,520 Speaker 1: There's a lot of hot areas in the world and 167 00:08:29,640 --> 00:08:32,520 Speaker 1: people manage. Why does my tax money have to go 168 00:08:32,600 --> 00:08:36,560 Speaker 1: to keep somebody cool while they wait for a bus? Yeah? 169 00:08:36,679 --> 00:08:40,200 Speaker 1: How much did it say this thing costs? Everybody feels 170 00:08:40,360 --> 00:08:44,600 Speaker 1: entitled to everything. I need shade. There's not enough shade. 171 00:08:44,720 --> 00:08:47,720 Speaker 1: That's discrimination. Oh, I don't think the women writing the 172 00:08:47,720 --> 00:08:48,440 Speaker 1: bus said this. 173 00:08:48,440 --> 00:08:50,720 Speaker 3: This is just the politicians who believe that there has 174 00:08:50,760 --> 00:08:51,760 Speaker 3: to gender equity. 175 00:08:51,920 --> 00:08:53,560 Speaker 1: They went around looking for a problem. 176 00:08:53,640 --> 00:08:55,440 Speaker 2: No, no, no, gender equity is a cover story for 177 00:08:55,520 --> 00:08:58,959 Speaker 2: some other corruption. Who got the contract to build these 178 00:08:59,679 --> 00:09:02,240 Speaker 2: and and and the guy who owns this company, who 179 00:09:02,320 --> 00:09:03,160 Speaker 2: is he related to? 180 00:09:03,760 --> 00:09:07,360 Speaker 1: What Tototype contribute dollars for that thing that you're looking 181 00:09:07,360 --> 00:09:11,000 Speaker 1: at it? This is this is this is something fishy. 182 00:09:11,559 --> 00:09:14,679 Speaker 1: This is an unnecessary product that everybody's making fun of 183 00:09:14,920 --> 00:09:17,120 Speaker 1: that costs a lot of money. Somebody got a city 184 00:09:17,160 --> 00:09:19,079 Speaker 1: contract for it. What does that smell? 185 00:09:19,240 --> 00:09:21,960 Speaker 3: Well, that's what the guy wrote here. Another hapless city government, 186 00:09:22,000 --> 00:09:24,880 Speaker 3: strangled by its own bureaucracy and regulations, taken for a 187 00:09:24,960 --> 00:09:28,000 Speaker 3: ride by a bunch of consultants masquerading under the banner 188 00:09:28,040 --> 00:09:29,640 Speaker 3: of diversity, equity and inclusion. 189 00:09:29,760 --> 00:09:33,720 Speaker 2: Yes, diversity, equity inclusion is the new shield to rip 190 00:09:33,840 --> 00:09:38,240 Speaker 2: off governments. You claim you have uh uh, you have 191 00:09:38,360 --> 00:09:41,280 Speaker 2: some kind of shade device. What that only works on 192 00:09:41,360 --> 00:09:45,440 Speaker 2: women because men get a disproportionate amount of shade. 193 00:09:45,679 --> 00:09:48,360 Speaker 1: I don't think it says only women can use it. 194 00:09:47,440 --> 00:09:47,520 Speaker 4: But. 195 00:09:49,760 --> 00:09:52,480 Speaker 1: There is no inequities with shade. 196 00:09:53,040 --> 00:09:54,800 Speaker 3: This is what happens when you come up with like 197 00:09:55,120 --> 00:09:59,079 Speaker 3: gender equity departments. Because they have to think of these projects. 198 00:09:59,120 --> 00:10:03,040 Speaker 3: It creates a creates corruption. By the way, I'm looking 199 00:10:03,080 --> 00:10:08,400 Speaker 3: here online, I wrote in cheapest air conditioner in Los Angeles, Right, 200 00:10:08,400 --> 00:10:12,600 Speaker 3: I clicked Google shopping. You can get an eight thousand 201 00:10:12,640 --> 00:10:17,440 Speaker 3: BTU window air conditioner for sixty nine ninety sixty nine dollars. 202 00:10:18,000 --> 00:10:20,120 Speaker 1: But that doesn't help you waiting for the bus unless 203 00:10:20,120 --> 00:10:20,920 Speaker 1: you carry it with you. 204 00:10:20,960 --> 00:10:24,040 Speaker 2: No, but they every time there's a heat way we 205 00:10:24,080 --> 00:10:27,120 Speaker 2: hear about the people who are suffering because they don't 206 00:10:27,120 --> 00:10:29,240 Speaker 2: have air conditioning and they need to go to a 207 00:10:29,320 --> 00:10:30,000 Speaker 2: cooling center. 208 00:10:30,040 --> 00:10:36,000 Speaker 1: It's like you don't have sixty nine dollars. All right, 209 00:10:36,040 --> 00:10:37,840 Speaker 1: we got more coming up. 210 00:10:37,880 --> 00:10:40,920 Speaker 3: This is the Johnny Ken Show KFI AM six forty 211 00:10:40,960 --> 00:10:41,880 Speaker 3: live everywhere. 212 00:10:41,920 --> 00:10:43,080 Speaker 1: It's the iHeartRadio Act. 213 00:10:43,800 --> 00:10:47,160 Speaker 5: You're listening to John and Ken on demand from KFI 214 00:10:47,400 --> 00:10:48,319 Speaker 5: AM six forty. 215 00:10:50,000 --> 00:10:53,880 Speaker 2: Shack got served finally, Oh good in the FTX lawsuit. 216 00:10:54,920 --> 00:10:56,920 Speaker 1: Where'd they find him? 217 00:10:57,160 --> 00:11:00,640 Speaker 2: Let's see, they've been going after him for months and 218 00:11:00,720 --> 00:11:04,719 Speaker 2: they got him in Miami during Game four of the 219 00:11:04,760 --> 00:11:06,520 Speaker 2: Eastern Conference Finals. 220 00:11:07,960 --> 00:11:09,240 Speaker 1: That was Miami and Boston. 221 00:11:09,320 --> 00:11:13,440 Speaker 3: Yea is doing commercials for FTX. Who took crumbling of 222 00:11:13,440 --> 00:11:16,280 Speaker 3: that company. It took a month. He was like the 223 00:11:16,320 --> 00:11:19,400 Speaker 3: last major celebrity they were trying to serve. They frustrated 224 00:11:19,400 --> 00:11:19,800 Speaker 3: by them. 225 00:11:19,920 --> 00:11:23,200 Speaker 2: At one point they tossed legal papers at his suv. 226 00:11:23,520 --> 00:11:26,960 Speaker 2: But that's that's not good enough, all right, Johnny kN 227 00:11:27,040 --> 00:11:30,320 Speaker 2: caf I AM six forty five everywhere on the iHeartRadio app. 228 00:11:30,559 --> 00:11:35,280 Speaker 2: Eric Square has been monitoring the Twitter. The Musk DeSantis 229 00:11:35,760 --> 00:11:38,280 Speaker 2: twitter conversation run into some technical problem. 230 00:11:38,400 --> 00:11:40,680 Speaker 1: Apparently this was a complete bust here. 231 00:11:40,960 --> 00:11:44,560 Speaker 4: Yeah, so oh oh wait, oh no, nope, it's over. 232 00:11:44,880 --> 00:11:48,800 Speaker 4: They ended the spaces on Twitter without even having any 233 00:11:48,800 --> 00:11:52,000 Speaker 4: sort of announcement. There was about when I last checked 234 00:11:52,160 --> 00:11:54,079 Speaker 4: before they ended it, there was about five hundred and 235 00:11:54,200 --> 00:11:58,680 Speaker 4: ninety seven thousand people worldwide listening to the spaces. I 236 00:11:58,720 --> 00:12:01,800 Speaker 4: saw Caitlin Jenner, Tom Loren and the whole bunch of 237 00:12:01,800 --> 00:12:02,400 Speaker 4: people in there. 238 00:12:02,559 --> 00:12:05,960 Speaker 2: So Twitter Space I'm not familiar. Twitter Space is a 239 00:12:06,000 --> 00:12:10,720 Speaker 2: place where multiple people can connect and talk to each other. 240 00:12:10,800 --> 00:12:13,160 Speaker 4: It's an audio yeah, it's like an audio It's like 241 00:12:13,200 --> 00:12:16,280 Speaker 4: an audio chat room. Like for instance, sports fans like myself, 242 00:12:17,320 --> 00:12:19,400 Speaker 4: a bunch of Laker fans will start a Twitter Space 243 00:12:19,480 --> 00:12:21,520 Speaker 4: after a game and we will talk about the game, 244 00:12:21,559 --> 00:12:23,440 Speaker 4: and there will maybe be a couple hundred one thousand 245 00:12:23,480 --> 00:12:23,920 Speaker 4: people in. 246 00:12:23,880 --> 00:12:25,839 Speaker 1: There whatever, and everything works fine. 247 00:12:26,240 --> 00:12:28,920 Speaker 4: You have a host who has the capabilities to bring 248 00:12:29,000 --> 00:12:31,920 Speaker 4: up speakers and give them microphone capabilities and all of that. 249 00:12:32,320 --> 00:12:35,959 Speaker 1: Oh so you go one by one and everybody comments. 250 00:12:35,640 --> 00:12:37,480 Speaker 4: Yeah, you can go one by one, or you can 251 00:12:37,520 --> 00:12:39,880 Speaker 4: have multiple people on at the same time, like for instance, 252 00:12:40,600 --> 00:12:43,120 Speaker 4: just now during this space is at one point it 253 00:12:43,200 --> 00:12:46,680 Speaker 4: read that Elon Musk was a was the host, Ron 254 00:12:46,720 --> 00:12:49,920 Speaker 4: DeSantis was a speaker, and this guy named David Sachs 255 00:12:50,080 --> 00:12:52,960 Speaker 4: was a speaker, So it had those little designations under 256 00:12:53,000 --> 00:12:55,160 Speaker 4: their names, and then everybody else that was in the 257 00:12:55,160 --> 00:12:57,400 Speaker 4: space had the designation of a listener. 258 00:12:57,960 --> 00:13:00,240 Speaker 1: So I did in this work. It was overloaded. Yeah, 259 00:13:00,240 --> 00:13:02,320 Speaker 1: the servers were just overloaded with five and they know 260 00:13:02,360 --> 00:13:03,719 Speaker 1: that was going to happen. I mean a lot of 261 00:13:03,760 --> 00:13:07,040 Speaker 1: people would you would think you would think you. 262 00:13:07,000 --> 00:13:11,200 Speaker 3: Think Elon Musk twitter cutbacks or a problem not enough 263 00:13:11,200 --> 00:13:12,439 Speaker 3: employees or enough. 264 00:13:12,920 --> 00:13:15,840 Speaker 1: You know, he fired ninety percent of the staffs. Yeah, 265 00:13:15,880 --> 00:13:17,520 Speaker 1: that that definitely could play a role in this. 266 00:13:17,640 --> 00:13:21,120 Speaker 4: But I mean at one point Musk did come on 267 00:13:21,320 --> 00:13:23,520 Speaker 4: to the spaces, turned his microphone on and said, hey, 268 00:13:24,000 --> 00:13:27,160 Speaker 4: there's just so many people on the space right now. 269 00:13:27,200 --> 00:13:31,040 Speaker 4: We're trying to move over more server capabilities to this 270 00:13:31,120 --> 00:13:35,120 Speaker 4: server so it has more power to hold this many people. YadA, YadA, YadA, 271 00:13:35,160 --> 00:13:38,120 Speaker 4: and they're working on these technical difficulties. And then I 272 00:13:38,160 --> 00:13:41,720 Speaker 4: literally went to go tell John this happened. And then 273 00:13:42,080 --> 00:13:44,120 Speaker 4: I come back into the studio and it says the 274 00:13:44,160 --> 00:13:47,160 Speaker 4: spaces has ended. So I don't know they gave up. Yeah, 275 00:13:47,200 --> 00:13:49,439 Speaker 4: So I don't know if they're gonna come back or. 276 00:13:49,600 --> 00:13:52,960 Speaker 6: What would have been a better format for this, Uh, 277 00:13:53,000 --> 00:13:59,880 Speaker 6: probably traditional broadcast television if you're announcing a presidential campaign 278 00:14:00,160 --> 00:14:01,160 Speaker 6: on you. 279 00:14:01,720 --> 00:14:04,240 Speaker 2: Right, Obviously, I just thought he's there. There's there another 280 00:14:04,320 --> 00:14:06,160 Speaker 2: service that performs this. 281 00:14:06,320 --> 00:14:09,199 Speaker 1: No, I mean, listen, I give Desanti they kind of 282 00:14:09,200 --> 00:14:10,800 Speaker 1: screamed it through a traditional service. 283 00:14:11,280 --> 00:14:13,360 Speaker 4: Yeah, I mean, I give I give Dysanta's credit for 284 00:14:13,400 --> 00:14:15,280 Speaker 4: trying to do something out of the box and try 285 00:14:15,280 --> 00:14:19,640 Speaker 4: and relate to an audience that maybe wouldn't have seen 286 00:14:19,680 --> 00:14:22,760 Speaker 4: him if he did traditional broadcast television or something like that. 287 00:14:22,920 --> 00:14:25,640 Speaker 1: But you kind of got to get the tech right first. 288 00:14:25,680 --> 00:14:27,680 Speaker 1: If you're gonna do you know, it's a bit embarrassing. Oh, 289 00:14:27,720 --> 00:14:31,560 Speaker 1: it's very embarrassing. You don't bet your presidential announcement on this. 290 00:14:32,720 --> 00:14:34,360 Speaker 3: No, I mean a lot of people on the media 291 00:14:34,400 --> 00:14:36,240 Speaker 3: were waiting. Now, they're going to mock this, aren't they? 292 00:14:36,280 --> 00:14:39,400 Speaker 3: Because they hate Musk too well. The media, Yeah, the 293 00:14:40,040 --> 00:14:40,720 Speaker 3: media hates. 294 00:14:40,600 --> 00:14:43,760 Speaker 1: Muss they hate DeSantis son with this. 295 00:14:44,920 --> 00:14:47,760 Speaker 3: In fact, the headlines will be DeSantis's campaign gets off 296 00:14:47,800 --> 00:14:49,360 Speaker 3: to a glitchy start or something. 297 00:14:49,720 --> 00:14:52,360 Speaker 4: I was literally tweeting literally last segment while I was 298 00:14:52,400 --> 00:14:54,800 Speaker 4: monitoring this, and you guys were talking about the last 299 00:14:54,800 --> 00:14:57,440 Speaker 4: segment and I was like, this Musk dysantis thing is 300 00:14:57,440 --> 00:14:57,800 Speaker 4: a joke. 301 00:15:00,040 --> 00:15:02,920 Speaker 1: As you did send us a texta it's not coming off. 302 00:15:04,240 --> 00:15:06,160 Speaker 3: Also, well, we'll keep an eye on that. So you 303 00:15:06,200 --> 00:15:07,800 Speaker 3: don't think it'll come back tonight. You think that's it, 304 00:15:07,840 --> 00:15:08,240 Speaker 3: that's it. 305 00:15:08,920 --> 00:15:12,280 Speaker 4: We will see unless Elon tweets something. I don't think 306 00:15:12,280 --> 00:15:12,960 Speaker 4: it's coming back. 307 00:15:13,000 --> 00:15:15,360 Speaker 3: He said, fighter that Elon Musk, you won't give up easy. 308 00:15:15,920 --> 00:15:20,000 Speaker 3: We know a bit more about the death of Tina Turner. 309 00:15:20,000 --> 00:15:23,040 Speaker 3: It's a big story this afternoon. The singer passed. 310 00:15:22,720 --> 00:15:24,400 Speaker 1: Away at the age of eighty three. 311 00:15:25,240 --> 00:15:27,600 Speaker 3: The hint is that just two months ago she opened 312 00:15:27,640 --> 00:15:31,680 Speaker 3: up about her battle with kidney disease. John Mayna, March 313 00:15:31,760 --> 00:15:34,280 Speaker 3: ninth was International Kidney Day. I missed that one too. 314 00:15:34,840 --> 00:15:37,400 Speaker 3: Oh wow, Heat Awareness Day is coming up in May, 315 00:15:37,440 --> 00:15:38,800 Speaker 3: and there was Kidney Day March. 316 00:15:38,960 --> 00:15:40,320 Speaker 1: I blew past Kidney Day. 317 00:15:41,200 --> 00:15:44,840 Speaker 3: She apparently was diagnosed with hypertension in the seventies and 318 00:15:44,960 --> 00:15:49,160 Speaker 3: just did not take her medication. He admits that probably 319 00:15:49,200 --> 00:15:50,360 Speaker 3: took a toll on my body. 320 00:15:50,920 --> 00:15:53,920 Speaker 1: Lucky she made it to eighty three. She relied on 321 00:15:54,000 --> 00:15:55,560 Speaker 1: homeopathic remedies. 322 00:15:55,760 --> 00:15:59,880 Speaker 2: Oh that stuff always it always she fails, and she 323 00:16:00,160 --> 00:16:03,440 Speaker 2: just thought that she was indestructible because she had so 324 00:16:03,560 --> 00:16:07,760 Speaker 2: much energy and just felt like this was not an issue. Yeah, 325 00:16:07,800 --> 00:16:11,480 Speaker 2: that's how Steve Jobs died did too soon too, because 326 00:16:11,520 --> 00:16:14,680 Speaker 2: he was taking homeopathic remedies for his pancreatic cancer. 327 00:16:15,320 --> 00:16:17,480 Speaker 1: Oh you know, he had a lot of money he could. 328 00:16:17,320 --> 00:16:20,680 Speaker 2: Have, which is, yeah, tough to beat under the best circumstances. 329 00:16:20,680 --> 00:16:23,440 Speaker 2: But if you're just throwing herbs at it, and you're 330 00:16:23,440 --> 00:16:23,840 Speaker 2: done for. 331 00:16:24,680 --> 00:16:26,640 Speaker 3: And she did suffer a stroke in two thousand and 332 00:16:26,720 --> 00:16:29,920 Speaker 3: nine because of her poorly controlled hypertension. These are her words. 333 00:16:30,520 --> 00:16:32,800 Speaker 3: I struggled to get back on my feet. Then I 334 00:16:32,880 --> 00:16:35,120 Speaker 3: learned my kidneys weren't working that well anymore, and she 335 00:16:35,120 --> 00:16:37,520 Speaker 3: didn't take her medication. She had already lost thirty five 336 00:16:37,560 --> 00:16:40,360 Speaker 3: percent of their function in two thousand and nine, So 337 00:16:41,400 --> 00:16:43,400 Speaker 3: I guess fourteen years later it took a toll on 338 00:16:43,440 --> 00:16:45,680 Speaker 3: her whole body. We don't know the exact cause of 339 00:16:45,720 --> 00:16:48,680 Speaker 3: death yet, but that seems to be a clear hint. 340 00:16:49,360 --> 00:16:51,840 Speaker 3: So kidney failure must have played a role in this. 341 00:16:52,160 --> 00:16:55,000 Speaker 3: Muskin dissenters are back on. Yeah, I have it on 342 00:16:55,040 --> 00:16:56,520 Speaker 3: my phone. I'm trying to get it on the desktop 343 00:16:56,600 --> 00:16:57,520 Speaker 3: version of my phone. 344 00:16:59,040 --> 00:17:01,880 Speaker 1: All right, they did come. I knew it. Yeah, the 345 00:17:01,920 --> 00:17:03,840 Speaker 1: answers is talking currently right now. I can put my 346 00:17:03,880 --> 00:17:06,439 Speaker 1: phone on if you want. We'll just hold it up there. 347 00:17:06,640 --> 00:17:09,280 Speaker 1: This is high tech. True needs would be our foundation. 348 00:17:09,600 --> 00:17:13,199 Speaker 2: Common sense can no longer be an uncommon virtue, And 349 00:17:13,240 --> 00:17:15,200 Speaker 2: in Florida we proved it could be done. 350 00:17:15,520 --> 00:17:17,920 Speaker 1: We chose facts of education. 351 00:17:18,520 --> 00:17:20,880 Speaker 3: All right, Well, we'll monitor that in case it really 352 00:17:20,920 --> 00:17:23,840 Speaker 3: breaks out into chaos. But he's making the case as 353 00:17:23,840 --> 00:17:26,520 Speaker 3: to why we should get rid of Biden. I wonder, 354 00:17:26,600 --> 00:17:28,159 Speaker 3: I just wonder, Eric, if you listen to that, if 355 00:17:28,160 --> 00:17:30,080 Speaker 3: he picks on Trump at all, you don't think he will, John, 356 00:17:31,400 --> 00:17:31,920 Speaker 3: I don't know. 357 00:17:33,080 --> 00:17:37,840 Speaker 2: I don't think he knows. I think he's hoping Trump 358 00:17:37,920 --> 00:17:39,679 Speaker 2: ends up in prison before the election. 359 00:17:40,080 --> 00:17:40,359 Speaker 1: I know. 360 00:17:40,600 --> 00:17:43,800 Speaker 3: I'm reading again today that he's got so many problems 361 00:17:43,800 --> 00:17:46,840 Speaker 3: that Georgia indictment may be coming out this summer. Right, 362 00:17:46,880 --> 00:17:49,640 Speaker 3: and of course next year we got the trial, yeah, 363 00:17:49,800 --> 00:17:50,720 Speaker 3: case out of New York. 364 00:17:51,160 --> 00:17:53,520 Speaker 2: I guess there's an argument for letting the weight of 365 00:17:53,600 --> 00:17:56,359 Speaker 2: all of his trials. And oh and there's another upsett 366 00:17:56,440 --> 00:17:59,400 Speaker 2: on the on the paperwork, the paperwork that was found 367 00:17:59,400 --> 00:18:02,040 Speaker 2: in his home and it may be not so much 368 00:18:02,080 --> 00:18:04,760 Speaker 2: that he had the paperwork, but an obstruction of the investigation. 369 00:18:04,960 --> 00:18:05,240 Speaker 1: Oh. 370 00:18:05,440 --> 00:18:08,360 Speaker 2: You see, it's not about can can is there any 371 00:18:08,359 --> 00:18:11,240 Speaker 2: way to win an argument with Trump? It's about whether 372 00:18:11,320 --> 00:18:15,920 Speaker 2: his supporters care, That's the thing it. Oh and they don't, 373 00:18:16,040 --> 00:18:18,480 Speaker 2: And they don't care because there's nothing. 374 00:18:18,240 --> 00:18:20,800 Speaker 1: The biased media and the biased process here, So. 375 00:18:22,560 --> 00:18:25,240 Speaker 3: They'll they'll they'll know he's this only makes him stronger 376 00:18:25,280 --> 00:18:28,560 Speaker 3: with no I read I read an inn accoum today 377 00:18:28,560 --> 00:18:33,080 Speaker 3: by somebody in the Atlantic, and he said, he goes, look, I. 378 00:18:32,240 --> 00:18:34,600 Speaker 2: No Trump fan at all. I think he's this, that, 379 00:18:34,680 --> 00:18:37,720 Speaker 2: and this. But I sat down with these these Trump 380 00:18:37,800 --> 00:18:41,240 Speaker 2: voters just to listen to really understand what is going 381 00:18:41,280 --> 00:18:43,879 Speaker 2: on here, what it what it is, and he concluded 382 00:18:43,920 --> 00:18:47,720 Speaker 2: that there is absolutely nothing that Trump could do or 383 00:18:47,720 --> 00:18:50,200 Speaker 2: that could happen to him that would move these people 384 00:18:51,040 --> 00:18:54,840 Speaker 2: off off his off their support. Not there's there's nothing 385 00:18:54,960 --> 00:18:59,399 Speaker 2: that's They assume that all the media is broadcasting wise 386 00:18:59,800 --> 00:19:04,000 Speaker 2: and all the charges are politically motivated in all these cases. 387 00:19:04,280 --> 00:19:06,760 Speaker 3: Yeah, there's I mean the example, that's that email I 388 00:19:06,800 --> 00:19:10,159 Speaker 3: read yesterday from a listener who says that the newsom 389 00:19:10,280 --> 00:19:13,359 Speaker 3: is fake, Biden is fake they're all imitators with masks, 390 00:19:13,359 --> 00:19:15,040 Speaker 3: and they're all going to be thrown into get Mo 391 00:19:15,200 --> 00:19:16,760 Speaker 3: and Trump will be reinstalled as president. 392 00:19:16,760 --> 00:19:19,360 Speaker 1: They're waiting for that. It's like the return of Jesus. Yeah, 393 00:19:19,400 --> 00:19:20,800 Speaker 1: Wells is wearing a mask. 394 00:19:22,119 --> 00:19:25,400 Speaker 3: He's one he got from the Chinese car making pyd 395 00:19:26,400 --> 00:19:28,200 Speaker 3: that he spent a huge amount of money. 396 00:19:28,280 --> 00:19:29,280 Speaker 1: All right, we got more coming up. 397 00:19:29,320 --> 00:19:32,240 Speaker 3: Johnny Ken KFI AM six forty live everywhere iHeartRadio app. 398 00:19:32,320 --> 00:19:34,679 Speaker 1: Nice Joan Debra, I saw that. Oh did. 399 00:19:36,040 --> 00:19:39,400 Speaker 5: You're listening to John and Ken on demand from KFI 400 00:19:39,640 --> 00:19:40,560 Speaker 5: AM six forty. 401 00:19:42,359 --> 00:19:45,119 Speaker 2: We're on the air till four o'clock after four podcast 402 00:19:45,400 --> 00:19:47,600 Speaker 2: Johnny kN on demand on the iHeart app. 403 00:19:48,680 --> 00:19:52,280 Speaker 3: The headlines are already beginning the daily mail, breaking news, 404 00:19:52,920 --> 00:19:57,240 Speaker 3: Ron's D E hyphen s A S t R, you 405 00:19:57,280 --> 00:20:03,240 Speaker 3: get it. Disaster utter chaos for dessantus presidential candidacy announcement 406 00:20:03,560 --> 00:20:08,119 Speaker 3: as Twitter spaces event with Elon Musk crashes repeatedly because 407 00:20:08,119 --> 00:20:11,320 Speaker 3: too many people joined. Finally got underway twenty six minutes late. 408 00:20:12,840 --> 00:20:17,119 Speaker 1: Well, it's it's on now. Yeah, he's doing a Q 409 00:20:17,200 --> 00:20:18,720 Speaker 1: and A Now I guess. 410 00:20:18,520 --> 00:20:21,960 Speaker 2: Now, Yeah, I mean it's gonna be a day of 411 00:20:22,040 --> 00:20:24,040 Speaker 2: ugly headlines and then you just got a four John 412 00:20:24,320 --> 00:20:28,040 Speaker 2: because then people forget like they forget everything else. Yeah, 413 00:20:28,200 --> 00:20:32,000 Speaker 2: and you blame Musk. Actually it is Musk's fault. He 414 00:20:32,040 --> 00:20:35,080 Speaker 2: should have had this setup. It's going well now it's yeah, 415 00:20:35,160 --> 00:20:37,879 Speaker 2: now it's yeah, because he built the capacity. I mean, 416 00:20:37,920 --> 00:20:41,480 Speaker 2: there is something to being having so much popularity for 417 00:20:42,119 --> 00:20:45,480 Speaker 2: this that it crashed the system. And that is right. 418 00:20:45,480 --> 00:20:48,760 Speaker 3: That supposedly says that you're popular and people are interested 419 00:20:48,800 --> 00:20:52,359 Speaker 3: in your message, which apparently is to attack Biden on 420 00:20:52,359 --> 00:20:53,840 Speaker 3: the open border, which is fine. 421 00:20:53,880 --> 00:20:55,080 Speaker 1: I think that's legitimate. 422 00:20:55,119 --> 00:20:57,520 Speaker 3: I mean, CNN can get inflation and these are the 423 00:20:57,560 --> 00:20:59,840 Speaker 3: issues he's bringing up. CNN can at six hundred that 424 00:21:00,160 --> 00:21:03,960 Speaker 3: people to watch their prime timelineup now so they cannot know. 425 00:21:05,119 --> 00:21:05,239 Speaker 4: Uh. 426 00:21:05,600 --> 00:21:11,920 Speaker 3: We move over to the the saga of Dianne Feinstein. Today, 427 00:21:12,040 --> 00:21:16,400 Speaker 3: the El Segundo Times let their staff photographer who covers 428 00:21:16,480 --> 00:21:22,359 Speaker 3: the Washington d C. His name is Kent Nishimura, do 429 00:21:22,440 --> 00:21:26,520 Speaker 3: a column about just what it's like to get pictures 430 00:21:26,560 --> 00:21:31,440 Speaker 3: of any senator, let alone the wheelchair bound Dianne Feinstein. 431 00:21:32,440 --> 00:21:35,760 Speaker 1: He calls it a game of cat and mouse. The 432 00:21:35,760 --> 00:21:38,720 Speaker 1: photographers and reporters of the Capitol Hill press corps patiently 433 00:21:38,760 --> 00:21:40,760 Speaker 1: mill about in case a person most likely in a 434 00:21:40,760 --> 00:21:43,560 Speaker 1: blue suit or sometimes a hoodie with a phallax of 435 00:21:43,600 --> 00:21:47,120 Speaker 1: staff breezes by. That's when we strike. You imagine having 436 00:21:47,119 --> 00:21:50,760 Speaker 1: that job. It's like the paparazzi for dopey politicians to 437 00:21:50,880 --> 00:21:54,080 Speaker 1: get a photo of somebody that there's a million photos of. 438 00:21:54,600 --> 00:21:58,200 Speaker 3: Yes, except for Feinstein's a catch because now you want 439 00:21:58,200 --> 00:21:59,159 Speaker 3: to see what shape she's in. 440 00:21:59,280 --> 00:22:01,920 Speaker 1: You want to be there when she falls to pieces. 441 00:22:02,359 --> 00:22:05,800 Speaker 3: After three months of being in California and hiding with shingles, 442 00:22:06,160 --> 00:22:08,560 Speaker 3: she's returned, and the voters need to know what kind 443 00:22:08,560 --> 00:22:11,320 Speaker 3: of shape she's in. So she's she's the one they 444 00:22:11,320 --> 00:22:14,240 Speaker 3: want to get, and he basically writes that they do 445 00:22:14,320 --> 00:22:17,680 Speaker 3: their best. They sometimes duck behind pillars when they will, 446 00:22:18,320 --> 00:22:21,200 Speaker 3: they will share her around to try to get past 447 00:22:21,280 --> 00:22:26,560 Speaker 3: the mob of photographers. It looks like it's a it's 448 00:22:26,560 --> 00:22:29,640 Speaker 3: a protective bubble, he says. And of course one big 449 00:22:29,720 --> 00:22:34,520 Speaker 3: member is the daughter of Nancy Pelosi. This Nancy Kreen Prauda, 450 00:22:34,960 --> 00:22:36,359 Speaker 3: who apparently. 451 00:22:35,920 --> 00:22:38,600 Speaker 1: Is she's the minder designated minder. 452 00:22:38,920 --> 00:22:41,240 Speaker 3: She seems to be in some pictures. She looks older 453 00:22:41,240 --> 00:22:44,920 Speaker 3: than Nancy Pelosi. I don't know what that's about. She's 454 00:22:44,920 --> 00:22:47,560 Speaker 3: also wearing the same little kerchief that Diane Feinstein. Remember 455 00:22:47,680 --> 00:22:49,719 Speaker 3: we used to have fun with Finstein and the pearls 456 00:22:49,720 --> 00:22:52,879 Speaker 3: that she right, yes, yeah, and then this woman's got 457 00:22:52,880 --> 00:22:54,320 Speaker 3: one of the menu. It's not like older women have 458 00:22:54,400 --> 00:22:56,760 Speaker 3: like a little kerchief knotted around their neck. It seems 459 00:22:56,760 --> 00:22:59,520 Speaker 3: to be a fashionable look for older woman. 460 00:23:00,640 --> 00:23:02,800 Speaker 2: Did you see like Biden almost took aheader coming down 461 00:23:02,840 --> 00:23:03,720 Speaker 2: the plane the other day? 462 00:23:04,880 --> 00:23:05,040 Speaker 3: Uh? 463 00:23:05,119 --> 00:23:07,760 Speaker 1: Yeah, that was covered in some guy's story we were talking. 464 00:23:07,960 --> 00:23:11,400 Speaker 1: I mean, he's a half step away from tumbling on 465 00:23:11,400 --> 00:23:14,240 Speaker 1: the stairs and smashing his head on the pavement. 466 00:23:14,560 --> 00:23:16,600 Speaker 3: But Jerald Ford, you sed toll always tumble. Remember that 467 00:23:16,680 --> 00:23:19,200 Speaker 3: was a joke for on Saturday Night Live. All the 468 00:23:19,240 --> 00:23:20,159 Speaker 3: flops he took, I. 469 00:23:20,200 --> 00:23:23,480 Speaker 2: Know, but I mean eventually one of those can kill you. 470 00:23:24,600 --> 00:23:27,479 Speaker 2: I mean the same thing with Diane Feinstein. He falls 471 00:23:27,480 --> 00:23:29,680 Speaker 2: her are really awful for the old people. 472 00:23:29,760 --> 00:23:31,960 Speaker 3: That's why she stays in the wheelchair. But apparently she 473 00:23:32,240 --> 00:23:34,760 Speaker 3: was walking. Well, there's an older picture of her walking 474 00:23:34,800 --> 00:23:37,000 Speaker 3: the hallways. I don't know how much walking she's doing now. 475 00:23:38,160 --> 00:23:40,200 Speaker 3: I think they wheel her into her committee assignments and 476 00:23:40,240 --> 00:23:42,399 Speaker 3: then prop her up at the at the table. 477 00:23:42,600 --> 00:23:45,280 Speaker 2: I don't Yeah, I don't think she should be left 478 00:23:45,320 --> 00:23:47,359 Speaker 2: alone to walk unless you want to do her in. 479 00:23:48,760 --> 00:23:52,320 Speaker 3: Our office has asked photographers to not take pictures of 480 00:23:52,359 --> 00:23:56,080 Speaker 3: her in her wheelchair. Feinstein's spokesman Adam Russell said in 481 00:23:56,119 --> 00:23:58,000 Speaker 3: a statement of The Times, No, we. 482 00:23:57,960 --> 00:23:58,560 Speaker 1: Did ask him. 483 00:23:58,560 --> 00:24:00,879 Speaker 3: We continue to ask for safety reason, since photographers and 484 00:24:00,920 --> 00:24:04,760 Speaker 3: reporters give her space, particularly when entering and exiting her vehicle. 485 00:24:05,640 --> 00:24:06,480 Speaker 1: Yeah, the answer is no. 486 00:24:07,600 --> 00:24:10,159 Speaker 3: That the public has a right to know your condition 487 00:24:10,280 --> 00:24:11,520 Speaker 3: since you're an elected office. 488 00:24:11,640 --> 00:24:12,080 Speaker 1: Too bad. 489 00:24:13,720 --> 00:24:15,960 Speaker 3: I don't see that's that seems unreasonable that they're oh, 490 00:24:16,040 --> 00:24:16,920 Speaker 3: you just shot back. 491 00:24:17,000 --> 00:24:19,320 Speaker 2: I mean those those staff members act like they have 492 00:24:19,359 --> 00:24:20,040 Speaker 2: the force of law. 493 00:24:20,160 --> 00:24:20,680 Speaker 1: No, they don't. 494 00:24:21,119 --> 00:24:24,080 Speaker 2: Like you work for us, and that's what the media 495 00:24:24,080 --> 00:24:26,000 Speaker 2: is supposed to do is tell us what's going on. 496 00:24:26,160 --> 00:24:29,800 Speaker 2: Then we decide that if it concerns us or not. 497 00:24:30,520 --> 00:24:31,800 Speaker 1: All right, we got more coming up. 498 00:24:31,800 --> 00:24:35,200 Speaker 3: It's the Johnny Ken Show KFI A M six forty 499 00:24:35,320 --> 00:24:37,960 Speaker 3: Live everywhere, the iHeartRadio app. 500 00:24:38,560 --> 00:24:41,920 Speaker 5: You're listening to John and Ken on demand from KFI 501 00:24:42,160 --> 00:24:44,800 Speaker 5: AM six forty. 502 00:24:46,440 --> 00:24:49,040 Speaker 3: Uh yeah, and the Moistline is coming up day after tomorrow. 503 00:24:49,080 --> 00:24:51,919 Speaker 3: So a quick reminder that we're still the harvesting calls. 504 00:24:52,320 --> 00:24:54,840 Speaker 3: Use the iHeartRadio app the microphone icon there to leave 505 00:24:54,880 --> 00:24:57,919 Speaker 3: a message directly for the John and Kenn moistline, or 506 00:24:57,920 --> 00:25:00,960 Speaker 3: call the toll free number one seven seven Moist eighty 507 00:25:01,000 --> 00:25:04,520 Speaker 3: six one eight seven seven six six ' four seven 508 00:25:04,560 --> 00:25:08,199 Speaker 3: eighty eight six. Well, this was a scam that a 509 00:25:08,400 --> 00:25:12,080 Speaker 3: father and his two sons pulled off in the state 510 00:25:12,119 --> 00:25:16,440 Speaker 3: of Massachusetts, and they did it for a decade, grabbing 511 00:25:16,520 --> 00:25:19,840 Speaker 3: over twenty million dollars in proceeds. 512 00:25:20,280 --> 00:25:25,000 Speaker 1: And it all has to do with the lottery. This 513 00:25:25,080 --> 00:25:26,000 Speaker 1: is quite a story. 514 00:25:26,560 --> 00:25:32,480 Speaker 3: Ali Ja'far Aided sixty three and Yusef Ja'far twenty nine 515 00:25:33,080 --> 00:25:36,960 Speaker 3: were sentenced to five years in fifty months in prison. 516 00:25:37,720 --> 00:25:41,639 Speaker 3: Can explain this easily. Basically, what they did. They purchased 517 00:25:41,800 --> 00:25:46,199 Speaker 3: winning lottery tickets from people across Massachusetts who wanted to 518 00:25:46,280 --> 00:25:49,439 Speaker 3: sell their winning tickets for a cash discount instead of 519 00:25:49,480 --> 00:25:54,240 Speaker 3: claiming their prize, which would have subjected them to tax ramifications. 520 00:25:54,320 --> 00:25:57,920 Speaker 1: Right. Yeah, So these guys were like, oh, we'll take 521 00:25:57,920 --> 00:26:00,000 Speaker 1: a little off the top, but you'll get most of them. 522 00:26:00,480 --> 00:26:02,960 Speaker 1: And this way the state and the Feds get nothing. 523 00:26:03,280 --> 00:26:03,800 Speaker 1: How's that? 524 00:26:04,240 --> 00:26:06,159 Speaker 3: So they got a lot of willing people that were 525 00:26:06,160 --> 00:26:08,680 Speaker 3: going to sell them their lottery tickets. Then they turned 526 00:26:08,680 --> 00:26:12,240 Speaker 3: around and cashed them, right yeah, And then when they 527 00:26:12,320 --> 00:26:16,560 Speaker 3: filed their taxes, they claimed fake gambling losses to offset 528 00:26:16,600 --> 00:26:17,880 Speaker 3: the lottery winnings. 529 00:26:17,960 --> 00:26:21,600 Speaker 1: You get it. You can. You can deduct gambling losses. 530 00:26:21,720 --> 00:26:25,880 Speaker 1: You sure can, yes, Eric, is that true? Does he care? 531 00:26:26,119 --> 00:26:29,280 Speaker 1: You ever deduct your gambling losses? No? I don't gamble. Actually, 532 00:26:29,520 --> 00:26:32,479 Speaker 1: oh you don't. No, No, that's Ray, Yeah, Ray gambles. 533 00:26:32,480 --> 00:26:36,240 Speaker 1: I'm way too it. And oh ask yeah Thompson, Oh 534 00:26:36,320 --> 00:26:38,840 Speaker 1: kad Thompson. Yeah. I think Thompson literally. 535 00:26:38,880 --> 00:26:40,560 Speaker 3: I think Conway has fun with it, but I think 536 00:26:40,600 --> 00:26:43,600 Speaker 3: Thompson literally just have a book. 537 00:26:44,920 --> 00:26:46,280 Speaker 1: But yes I do. I do know. You have to 538 00:26:46,280 --> 00:26:49,280 Speaker 1: pay taxes on gambling on the winnings, and you can 539 00:26:49,320 --> 00:26:51,679 Speaker 1: deduct the losses. I did pay. I did pay taxes 540 00:26:51,680 --> 00:26:52,480 Speaker 1: on winnings one year. 541 00:26:52,720 --> 00:26:55,000 Speaker 3: I think it's if it exceeds like twelve hundred dollars, 542 00:26:55,240 --> 00:26:56,879 Speaker 3: they'll stop you at the casino and make you thill 543 00:26:56,920 --> 00:26:57,159 Speaker 3: out the. 544 00:26:57,119 --> 00:26:59,639 Speaker 1: Paperwork how'd you win? Because they have to report it? 545 00:26:59,720 --> 00:27:00,919 Speaker 1: What what did you win at? 546 00:27:01,520 --> 00:27:05,159 Speaker 3: I was a a slot machine, a big one. It 547 00:27:05,200 --> 00:27:07,879 Speaker 3: was twelve hundred dollars. I won twelve hundred and you 548 00:27:07,920 --> 00:27:11,120 Speaker 3: know one spin. Yeah, but you know you put money 549 00:27:11,119 --> 00:27:14,280 Speaker 3: in before you get that, sure, and that's why. So 550 00:27:14,320 --> 00:27:16,520 Speaker 3: I guess I could have saved everything else and offset 551 00:27:16,560 --> 00:27:18,400 Speaker 3: that with lottery law, with a lot of lottery slot 552 00:27:18,440 --> 00:27:21,080 Speaker 3: machine losses. But you have to keep the records for 553 00:27:21,119 --> 00:27:23,040 Speaker 3: that if you're really serious about it. 554 00:27:23,680 --> 00:27:29,440 Speaker 1: But yeah, they they claimed the equivalent by faking gambling 555 00:27:29,480 --> 00:27:32,360 Speaker 1: losses as an offset, so they avoided federal income taxes 556 00:27:32,640 --> 00:27:36,639 Speaker 1: and they got fraudulent tax refunds. So the whole scam 557 00:27:36,720 --> 00:27:42,680 Speaker 1: netted them over twenty million dollars. Seriously, that's what, yes, right, 558 00:27:43,640 --> 00:27:46,479 Speaker 1: It resulted in federal tax losses of over six million, 559 00:27:46,880 --> 00:27:49,159 Speaker 1: more than one point two million of which went directly 560 00:27:49,200 --> 00:27:53,439 Speaker 1: to the defendants in the form of these fraudulent tax refunds. 561 00:27:53,720 --> 00:27:55,840 Speaker 1: But it took them ten years to catch up with this. 562 00:27:55,840 --> 00:27:58,560 Speaker 1: This fellow was gonna say that that's a long time 563 00:27:58,600 --> 00:28:00,840 Speaker 1: they were getting away with this. They should have gotten 564 00:28:00,840 --> 00:28:01,600 Speaker 1: out of the country. 565 00:28:02,200 --> 00:28:04,920 Speaker 3: They're also in the process of suspending the licenses of 566 00:28:04,960 --> 00:28:07,280 Speaker 3: more than forty of their lottery agents because I guess 567 00:28:07,359 --> 00:28:09,280 Speaker 3: they knew what these guys were up to by cashing. 568 00:28:09,359 --> 00:28:11,359 Speaker 3: Oh sure, because it turned out these guys were like 569 00:28:11,359 --> 00:28:13,360 Speaker 3: the biggest winners in the state, the father of the son. 570 00:28:13,480 --> 00:28:15,200 Speaker 3: How many times couldn't you show up at a seven 571 00:28:15,240 --> 00:28:16,439 Speaker 3: eleven where they're winning lottery? 572 00:28:16,520 --> 00:28:17,360 Speaker 1: Tell you ticket? Right? 573 00:28:17,640 --> 00:28:19,720 Speaker 3: Well, they probably went to different seven elevens, but they 574 00:28:19,720 --> 00:28:21,600 Speaker 3: had their friends there, wink wing who may have gotten 575 00:28:21,640 --> 00:28:22,160 Speaker 3: a cut. 576 00:28:22,600 --> 00:28:23,880 Speaker 1: Ah, this was complicated. 577 00:28:24,080 --> 00:28:25,920 Speaker 2: I mean it was a kind of a genius and 578 00:28:26,080 --> 00:28:27,720 Speaker 2: they and they pulled it off for a long time. 579 00:28:27,760 --> 00:28:29,800 Speaker 2: They got greedy. They should have stopped and found an 580 00:28:29,840 --> 00:28:32,080 Speaker 2: island somewhere, and I think ten million would have been enough. 581 00:28:32,240 --> 00:28:32,480 Speaker 1: Yeah. 582 00:28:32,760 --> 00:28:35,360 Speaker 2: Hey, Conway, did you ever write your gambling losses off 583 00:28:35,359 --> 00:28:36,040 Speaker 2: on your taxes? 584 00:28:36,080 --> 00:28:36,159 Speaker 4: Oh? 585 00:28:36,240 --> 00:28:36,760 Speaker 1: Yeah, all time. 586 00:28:37,119 --> 00:28:38,800 Speaker 7: I mean you can only you can only write off though, 587 00:28:38,840 --> 00:28:40,920 Speaker 7: as much as you've won. 588 00:28:41,360 --> 00:28:44,240 Speaker 3: Now, and that's what this family did. They just offset 589 00:28:44,280 --> 00:28:46,000 Speaker 3: them right right, You can do that. 590 00:28:46,840 --> 00:28:49,880 Speaker 7: And you know, the casinos keep track for you, and 591 00:28:50,000 --> 00:28:52,200 Speaker 7: TVG keeps track for you too. As a matter of fact, 592 00:28:52,560 --> 00:28:55,960 Speaker 7: I once had they didn't they'd include my TVG losses, 593 00:28:56,000 --> 00:28:58,320 Speaker 7: my horse racing losses. So I called TVJ I go, hey, 594 00:28:58,320 --> 00:28:59,840 Speaker 7: do you have a record for all the loss I 595 00:28:59,840 --> 00:29:00,600 Speaker 7: had last year? 596 00:29:00,720 --> 00:29:03,360 Speaker 2: Can do FedEx in the mail next day. Okay, really, 597 00:29:03,960 --> 00:29:07,680 Speaker 2: how big was that pack? A valuable customer? Big number, 598 00:29:08,200 --> 00:29:09,520 Speaker 2: big number, big number. 599 00:29:10,280 --> 00:29:11,880 Speaker 7: As a matter of fact, it's a number that I 600 00:29:11,960 --> 00:29:15,000 Speaker 7: lied to my wife about, of course, And still to 601 00:29:15,040 --> 00:29:16,400 Speaker 7: this day she doesn't know that number. 602 00:29:17,040 --> 00:29:20,800 Speaker 1: She thinks it's only thirty grand. Not just kidding. 603 00:29:23,120 --> 00:29:27,320 Speaker 7: Had some zero Los Angeles approves. Hey, two hundred and 604 00:29:27,320 --> 00:29:29,800 Speaker 7: seventy eight thousand police dog robot? 605 00:29:30,800 --> 00:29:34,120 Speaker 1: All right, but it was donated. But how many cops comingated? 606 00:29:34,240 --> 00:29:34,400 Speaker 5: Right? 607 00:29:34,400 --> 00:29:35,040 Speaker 1: They're paying for. 608 00:29:35,000 --> 00:29:36,680 Speaker 7: That, But how many cops can you hire for twitdre 609 00:29:36,680 --> 00:29:39,120 Speaker 7: and seventy eight grand? Like four new ones? Right, let's 610 00:29:39,120 --> 00:29:41,479 Speaker 7: get some more cops and stop with the electric dogs. 611 00:29:45,760 --> 00:29:49,440 Speaker 1: You have to get bit by electric dog? Yeah? Is 612 00:29:49,440 --> 00:29:51,280 Speaker 1: that a day? What is it like? 613 00:29:51,320 --> 00:29:51,360 Speaker 4: It? 614 00:29:52,120 --> 00:29:56,320 Speaker 1: It's over? Yeah, that's right. Tina Turner passed away. That's sad. 615 00:29:56,360 --> 00:29:58,720 Speaker 1: She was very great. What what's love got to do 616 00:29:58,800 --> 00:30:01,320 Speaker 1: with it? Right? John? You and I we don't need 617 00:30:01,400 --> 00:30:04,520 Speaker 1: another he that's right. 618 00:30:04,760 --> 00:30:08,760 Speaker 2: Yeah, you're private dancing, dancing full money. 619 00:30:09,000 --> 00:30:11,680 Speaker 1: It doesn't sound the same. That's right. 620 00:30:11,720 --> 00:30:14,000 Speaker 3: We should drive John crazy, Tim one night, just sing 621 00:30:14,040 --> 00:30:14,440 Speaker 3: songs to. 622 00:30:15,920 --> 00:30:16,000 Speaker 4: You. 623 00:30:16,040 --> 00:30:19,040 Speaker 1: Don't have the legs either. I am not I'm not 624 00:30:19,120 --> 00:30:21,440 Speaker 1: far off. I'm working on them, working on him right, 625 00:30:21,640 --> 00:30:22,320 Speaker 1: working on and then. 626 00:30:22,480 --> 00:30:26,080 Speaker 7: Irvine ranks number fourth in the best park access in 627 00:30:26,120 --> 00:30:27,400 Speaker 7: the nation if that's important to you. 628 00:30:27,760 --> 00:30:31,800 Speaker 1: Okay, could be tig Dog with you, guys. All right, 629 00:30:31,880 --> 00:30:36,400 Speaker 1: let's roll coming up four Hour Cafe. 630 00:30:37,200 --> 00:30:39,000 Speaker 3: Hey, you've been listening to the John and Ken Show. 631 00:30:39,000 --> 00:30:41,000 Speaker 3: You can always hear us live on k if I 632 00:30:41,160 --> 00:30:44,560 Speaker 3: AM six forty one pm to four pm every Monday 633 00:30:44,560 --> 00:30:47,640 Speaker 3: through Friday, and of course anytime on demand on the 634 00:30:47,640 --> 00:30:48,760 Speaker 3: iHeartRadio app.