1 00:00:00,080 --> 00:00:04,320 Speaker 1: The La County Registrar Voters continues to dump vote results 2 00:00:04,320 --> 00:00:07,240 Speaker 1: out and today being another day, we'll give you an 3 00:00:07,280 --> 00:00:09,959 Speaker 1: update a little later on. But the La County Sheriff, 4 00:00:10,000 --> 00:00:14,200 Speaker 1: Alex Migneueva, has conceded he will no longer be the 5 00:00:14,280 --> 00:00:16,880 Speaker 1: La County Sheriff. It will be taken over by the 6 00:00:16,960 --> 00:00:20,200 Speaker 1: former Long Beach Police Chief, Robert Luna, who was the 7 00:00:20,280 --> 00:00:23,400 Speaker 1: choice of the Board of Supervisors. And they have themselves 8 00:00:23,400 --> 00:00:25,480 Speaker 1: a puppet and Luna has vowed to clean up all 9 00:00:25,480 --> 00:00:28,800 Speaker 1: the homeless encampments in the county. Yeah, absolutely, yeah, very 10 00:00:28,880 --> 00:00:31,840 Speaker 1: saying yeah, just like Karen Bass together, they're gonna work 11 00:00:31,840 --> 00:00:34,519 Speaker 1: on this and fix it. No, we're kidding. He's not 12 00:00:34,520 --> 00:00:37,360 Speaker 1: going to do anything. Never mentioned it that I can 13 00:00:37,440 --> 00:00:40,800 Speaker 1: remember in the campaign. We will get another keyword which 14 00:00:40,840 --> 00:00:44,800 Speaker 1: you can use to respond and possibly one a thousand dollars. 15 00:00:44,800 --> 00:00:47,280 Speaker 1: That comes up at four twenty here on the Johnny 16 00:00:47,360 --> 00:00:50,360 Speaker 1: Ken Show. Well, last week we had mentioned a story 17 00:00:50,360 --> 00:00:53,559 Speaker 1: that got our attention about the feral cat population in 18 00:00:53,600 --> 00:00:56,920 Speaker 1: the city of La with estimates running between a million 19 00:00:56,960 --> 00:01:02,040 Speaker 1: to three million. Yeah, homeless feral cats in Greater Los Angeles. 20 00:01:02,880 --> 00:01:07,440 Speaker 1: And this comes out of a documentary feature film called 21 00:01:08,080 --> 00:01:12,640 Speaker 1: Crazy Cat Lady. We're now going to talk to the 22 00:01:12,840 --> 00:01:15,880 Speaker 1: director and producer, a veteran filmmaker by the name of 23 00:01:15,920 --> 00:01:20,000 Speaker 1: Garrett Clancy, about this issue and this shocking number of 24 00:01:20,040 --> 00:01:22,360 Speaker 1: Farrell cats and what's being done and not being done 25 00:01:22,400 --> 00:01:27,160 Speaker 1: with them. Garrett, welcome, How are you, hey, guys, how 26 00:01:27,160 --> 00:01:28,920 Speaker 1: are you doing? Thanks for having me. So where is 27 00:01:28,959 --> 00:01:33,919 Speaker 1: this movie running right now? It's streaming on Amazon, Prime, 28 00:01:34,440 --> 00:01:38,679 Speaker 1: Apple TV, Voodoo, all the streaming channels. Just come off 29 00:01:38,720 --> 00:01:41,440 Speaker 1: the thumb festival circuit, although it's still at two film 30 00:01:41,440 --> 00:01:47,520 Speaker 1: festivals right now. Yeah, I think the headline that's grabbing 31 00:01:47,560 --> 00:01:50,400 Speaker 1: everyone's tension is the idea that they're between one and 32 00:01:50,560 --> 00:01:56,600 Speaker 1: three million homeless cats, farrel cats, wildcats running around the city. 33 00:01:56,680 --> 00:02:01,440 Speaker 1: That seems like almost a preposterous number. I mean, how 34 00:02:01,440 --> 00:02:05,080 Speaker 1: do you even estimate something like that. I'm not sure 35 00:02:05,080 --> 00:02:09,480 Speaker 1: how the uh the folks that do those estimate estimations 36 00:02:09,560 --> 00:02:12,239 Speaker 1: do it. But you know, it's it's more really based 37 00:02:12,280 --> 00:02:17,040 Speaker 1: on the reality of for years now, twelve I think years, 38 00:02:17,760 --> 00:02:21,720 Speaker 1: the city of la has not supported the spaying and 39 00:02:21,760 --> 00:02:25,280 Speaker 1: neutering of these cats um and so just by the 40 00:02:25,320 --> 00:02:29,120 Speaker 1: fact that cats reproduced so quickly, these numbers grow exponentially. 41 00:02:29,240 --> 00:02:33,440 Speaker 1: Why do they not support spaying and neutering because they 42 00:02:34,560 --> 00:02:38,200 Speaker 1: some bird groups, includingly out of society, sued to have 43 00:02:38,320 --> 00:02:42,560 Speaker 1: them stop doing this twelve years ago and an injunction. 44 00:02:42,840 --> 00:02:45,320 Speaker 1: An injunction was put into place. Wait, a bird group 45 00:02:45,960 --> 00:02:52,440 Speaker 1: sued over cat neutering. Yes, um, you know birds cats 46 00:02:52,480 --> 00:02:57,560 Speaker 1: and and I know, I don't know why. That's right, 47 00:02:57,600 --> 00:03:01,440 Speaker 1: that's what cats see birds. So I thought they I 48 00:03:01,440 --> 00:03:03,679 Speaker 1: thought the bird people would be into stopping the pig 49 00:03:03,720 --> 00:03:08,560 Speaker 1: cat population. Yeah, they have different ideas about how to 50 00:03:08,600 --> 00:03:11,520 Speaker 1: do that. Um. You know in some countries it's used 51 00:03:11,560 --> 00:03:14,560 Speaker 1: in Asia of thorough cats. I'm not saying that that's 52 00:03:14,600 --> 00:03:17,920 Speaker 1: what they advocated. But they didn't advocate the tratton near 53 00:03:17,960 --> 00:03:20,359 Speaker 1: to return because what happens is, you know, can't gets 54 00:03:20,360 --> 00:03:22,960 Speaker 1: fixed and they gets put back into the colony that 55 00:03:23,320 --> 00:03:26,080 Speaker 1: on the streets that I was taken from. Um. But 56 00:03:26,200 --> 00:03:28,240 Speaker 1: why they thought that after all this time there'd be 57 00:03:28,240 --> 00:03:32,160 Speaker 1: fewer cats to not eat the birds. It just doesn't 58 00:03:32,160 --> 00:03:35,640 Speaker 1: make a lot of sense. It's it's not but the 59 00:03:35,680 --> 00:03:39,160 Speaker 1: inst the instruction was overturned and the end of twenty twenty, 60 00:03:39,240 --> 00:03:42,040 Speaker 1: it's just that the city hasn't released any funds. City 61 00:03:42,000 --> 00:03:46,000 Speaker 1: of Billy hasn't released funds so that these citizen trappers 62 00:03:46,000 --> 00:03:47,960 Speaker 1: that um well I talked about in the film and 63 00:03:48,040 --> 00:03:50,320 Speaker 1: that I follow in the film, you know, can can 64 00:03:50,360 --> 00:03:53,360 Speaker 1: get vouchers to uh to take these cats to get 65 00:03:53,440 --> 00:03:57,680 Speaker 1: to get fixed with citizens trappers. Citizen traps, we call 66 00:03:57,720 --> 00:04:01,160 Speaker 1: them citizen trappers. The folks that are trying to the crisis. 67 00:04:01,320 --> 00:04:04,119 Speaker 1: They're trying to the gate the crisis using their own money, 68 00:04:04,200 --> 00:04:07,480 Speaker 1: their own resources, and you know they're trapping cats all 69 00:04:07,520 --> 00:04:11,320 Speaker 1: the time. Um and then there's one main place in 70 00:04:11,400 --> 00:04:15,200 Speaker 1: the East Valley called Fixed Nation that will uh spay 71 00:04:15,320 --> 00:04:18,880 Speaker 1: neuder these cats free your charge. But you know they're overwhelmed. 72 00:04:18,960 --> 00:04:22,600 Speaker 1: They they do about one hundred plus cats a day. 73 00:04:22,960 --> 00:04:26,200 Speaker 1: And it's the line, you know, the line to get 74 00:04:26,240 --> 00:04:28,520 Speaker 1: in there is a month long. I don't think you 75 00:04:28,600 --> 00:04:31,200 Speaker 1: ever catch up. If there's if there's really millions out 76 00:04:31,200 --> 00:04:36,640 Speaker 1: there right the cats, you know, which is why the 77 00:04:36,680 --> 00:04:39,520 Speaker 1: city needs to release some funds and train some folks. 78 00:04:39,520 --> 00:04:42,720 Speaker 1: And you know there's a you know, why are they resistant? Then? 79 00:04:42,760 --> 00:04:47,560 Speaker 1: Do you know the city doesn't isn't claiming to be resisting. 80 00:04:47,720 --> 00:04:50,560 Speaker 1: They just you know, it's it's the bureaucracy, right, it 81 00:04:50,640 --> 00:04:53,120 Speaker 1: just don't do it not a priority. It's like everything, 82 00:04:53,200 --> 00:04:55,680 Speaker 1: you know, they just yeah, yeah, we were all in 83 00:04:55,760 --> 00:04:58,280 Speaker 1: favor of staying in newdering cats, but they never get 84 00:04:58,320 --> 00:05:01,599 Speaker 1: around to it, right right, Well, maybe because they're not 85 00:05:01,680 --> 00:05:04,640 Speaker 1: seeing them in their own neighborhood like you guys mentioned earlier, 86 00:05:04,920 --> 00:05:06,880 Speaker 1: but you know, they're out there. And if all the 87 00:05:06,880 --> 00:05:09,040 Speaker 1: colonies I've been to during the filming of the movie 88 00:05:09,080 --> 00:05:13,560 Speaker 1: and afterwards, uh, I'm gonna say, will you call them colonies? 89 00:05:13,600 --> 00:05:15,479 Speaker 1: What do you see? Tell us what they look like? 90 00:05:15,839 --> 00:05:20,040 Speaker 1: What is that like a commune of cats? Or yeah, 91 00:05:20,080 --> 00:05:23,760 Speaker 1: sometimes dozens and dozens um. And so what the trappers 92 00:05:23,800 --> 00:05:26,520 Speaker 1: will do is they'll, you know, they'll they'll they'll capture 93 00:05:26,520 --> 00:05:29,200 Speaker 1: all the cats they can um, get the kittens to 94 00:05:29,279 --> 00:05:32,960 Speaker 1: shelters that hopefully will get adopted, get the you know, 95 00:05:33,000 --> 00:05:35,920 Speaker 1: the mums and dads spade and neutered, put them back 96 00:05:35,960 --> 00:05:38,400 Speaker 1: in the colony, and then continue to feed them and 97 00:05:38,560 --> 00:05:41,360 Speaker 1: make and stand contact with that colony because other cats 98 00:05:41,360 --> 00:05:44,160 Speaker 1: will sneak in, you know. And is there a particular 99 00:05:44,279 --> 00:05:50,440 Speaker 1: kind of spot where these cat colonies develop? You know? Uh, 100 00:05:51,480 --> 00:05:53,640 Speaker 1: I think in my experience I've seen that where folks 101 00:05:53,640 --> 00:05:55,760 Speaker 1: are feeding them and they know there's a food source, 102 00:05:56,320 --> 00:05:59,120 Speaker 1: they're gonna congregate there, you know, would they be like 103 00:05:59,200 --> 00:06:03,960 Speaker 1: in parks or alleyways or somebody's backyard, Yeah, backyards. I've 104 00:06:03,960 --> 00:06:06,080 Speaker 1: been in a lot of backyards, a lot of backyards, 105 00:06:07,000 --> 00:06:09,560 Speaker 1: and you know a lot has to do with folks 106 00:06:09,600 --> 00:06:12,960 Speaker 1: being afraid of alerting the authorities, thinking that they're going 107 00:06:13,040 --> 00:06:15,400 Speaker 1: to get in trouble if they've got a colony of 108 00:06:15,440 --> 00:06:17,720 Speaker 1: cats in their yard, and you know, they might have 109 00:06:18,360 --> 00:06:22,120 Speaker 1: various immigration statuses that make them well, you know, concerned 110 00:06:22,120 --> 00:06:26,760 Speaker 1: about alerting authorities. And still, you know, the pupfisitions keep 111 00:06:26,760 --> 00:06:29,400 Speaker 1: growing and growing. There's this Channel five story and there 112 00:06:29,400 --> 00:06:32,320 Speaker 1: are so many things that are unintentionally funny in it, 113 00:06:32,839 --> 00:06:37,000 Speaker 1: because one line says, in seven years, one female cat 114 00:06:37,400 --> 00:06:41,680 Speaker 1: and are offspring. Offspring can produce three hundred and seventy 115 00:06:41,680 --> 00:06:46,440 Speaker 1: thousand kittens. All right, three hundred seventy thousand kittens from 116 00:06:46,600 --> 00:06:49,560 Speaker 1: one female cat and your kid that's fertile. Yeah. Then 117 00:06:49,640 --> 00:06:52,680 Speaker 1: later on in the story, it says LA launched the 118 00:06:52,839 --> 00:06:56,000 Speaker 1: citywide Cat program and they have promised to fix twenty 119 00:06:56,000 --> 00:06:59,720 Speaker 1: thousand cats every year for thirty years. Well, just doing 120 00:06:59,720 --> 00:07:03,520 Speaker 1: the mat are I think that the cats are really 121 00:07:03,520 --> 00:07:06,840 Speaker 1: gonna win that race? Yeah, if they're doing twenty thousand 122 00:07:06,880 --> 00:07:10,240 Speaker 1: a year but reproducing three hundred and seventy thousand and 123 00:07:10,280 --> 00:07:16,240 Speaker 1: seven years, yeah, yeah, it's well, so it's it's nuts, right, 124 00:07:16,280 --> 00:07:20,320 Speaker 1: I mean? And yeah, so so you know, these people 125 00:07:20,360 --> 00:07:22,760 Speaker 1: that are doing all this work, sometimes they refer to 126 00:07:22,800 --> 00:07:26,160 Speaker 1: as crazy cat ladies, although we profile to two men 127 00:07:26,520 --> 00:07:30,400 Speaker 1: in the film as well. Um, it's just a stereotype. 128 00:07:30,440 --> 00:07:32,760 Speaker 1: And you know, yes, you have that woman with the 129 00:07:32,760 --> 00:07:35,480 Speaker 1: curlers in her hair and the cats hanging all over her. 130 00:07:35,520 --> 00:07:37,120 Speaker 1: But but then you have a lot more folks like 131 00:07:37,120 --> 00:07:39,400 Speaker 1: the folks in the film, for are just they care 132 00:07:39,400 --> 00:07:41,640 Speaker 1: about animals and they're trying to do the best they 133 00:07:41,640 --> 00:07:45,680 Speaker 1: can to. You know. Oh, there you go. May send 134 00:07:45,680 --> 00:07:47,320 Speaker 1: your dog out that will take care of the cats. 135 00:07:47,400 --> 00:07:50,320 Speaker 1: Get that guy out there. Listen to that park. I've got. 136 00:07:50,360 --> 00:07:53,720 Speaker 1: I've got thirteen riscue animals here, you know, two dogs, 137 00:07:54,000 --> 00:07:58,400 Speaker 1: the horses, five cats, horses. Yeah, that's good for you, 138 00:07:58,640 --> 00:08:00,760 Speaker 1: that's kind of it's your home. Us have a big property. 139 00:08:00,800 --> 00:08:02,800 Speaker 1: It's got to be a tight kitchen. I yeah, I 140 00:08:02,800 --> 00:08:07,000 Speaker 1: live on Bell Canyon for sure, County. Yeah. Well, Garrett, 141 00:08:07,240 --> 00:08:10,000 Speaker 1: I'm gonna watch this. Yeah, that sounds pretty cool. It's 142 00:08:10,080 --> 00:08:13,640 Speaker 1: it's a Crazy Cat Lady and it's on Amazon Prime 143 00:08:14,080 --> 00:08:18,960 Speaker 1: and whatnes Google Play, the iTunes, yea, Google Play, Xbox 144 00:08:19,000 --> 00:08:23,560 Speaker 1: and Voodoo. Yeah yeah, yeah, well all right this is exciting, 145 00:08:23,680 --> 00:08:27,000 Speaker 1: right all right? Well good luck with me? Yeah, thank you? Thanks. 146 00:08:26,960 --> 00:08:29,960 Speaker 1: All right. That's Garrett Clancy. He's a director and producer 147 00:08:29,960 --> 00:08:32,160 Speaker 1: and veteran filmmaker. On the film we're talking about is 148 00:08:32,200 --> 00:08:38,080 Speaker 1: Crazy Cat Lady dealing with Los Angeles's feral cat population explosion. 149 00:08:38,640 --> 00:08:41,760 Speaker 1: So I'm estimates say there's one to three million of 150 00:08:41,840 --> 00:08:45,120 Speaker 1: these feral cats out there and the city wants to 151 00:08:45,160 --> 00:08:47,520 Speaker 1: do something but isn't in terms of spaying and neutering 152 00:08:48,000 --> 00:08:50,439 Speaker 1: these cats. What do you think, Deborah Martin? I thought 153 00:08:50,480 --> 00:08:52,480 Speaker 1: it was great. Look at his Whether he's something you 154 00:08:52,480 --> 00:08:54,559 Speaker 1: want to get involved with. I would absolutely like to 155 00:08:54,600 --> 00:08:56,560 Speaker 1: get involved with that. And did you notice that there's 156 00:08:56,600 --> 00:09:00,160 Speaker 1: no killing of the cats. What they're doing is is there, 157 00:09:00,200 --> 00:09:02,959 Speaker 1: they're protecting them. And there's three million cats out there, 158 00:09:03,000 --> 00:09:05,520 Speaker 1: You should take a few in should I'll go out 159 00:09:05,559 --> 00:09:07,360 Speaker 1: there with the pair of scissors and do some work. Yeah, 160 00:09:07,480 --> 00:09:09,560 Speaker 1: I wouldn't want to harm the cats. That's just not 161 00:09:09,640 --> 00:09:11,200 Speaker 1: in my line of work. You know, I don't know 162 00:09:11,240 --> 00:09:13,920 Speaker 1: what I'm doing. I'm allergic. I am allergic. I do 163 00:09:14,040 --> 00:09:18,120 Speaker 1: have a cat allergy. No joke, no joke, thank ye, 164 00:09:19,320 --> 00:09:21,920 Speaker 1: no joke. All right, as soon as cats, as soon 165 00:09:21,920 --> 00:09:23,720 Speaker 1: as we return, you'll have a shot at some money. 166 00:09:23,800 --> 00:09:27,439 Speaker 1: We will have the keyword contest. Johnny ken CAF I 167 00:09:27,520 --> 00:09:30,000 Speaker 1: am six forty live everywhere in the iHeart Radio app. 168 00:09:30,120 --> 00:09:34,160 Speaker 1: Thirty six thousand, three hundred and forty nine votes now 169 00:09:34,240 --> 00:09:39,360 Speaker 1: separate Karen Ruth Bass and Rick J. Caruso. It's over 170 00:09:39,880 --> 00:09:42,560 Speaker 1: to be the next time. I'm so pissed off. We 171 00:09:42,640 --> 00:09:46,520 Speaker 1: have watched Caruso have a thousands of vote lead on 172 00:09:46,559 --> 00:09:50,720 Speaker 1: election night. It is now turned that negative for him. 173 00:09:51,160 --> 00:09:53,680 Speaker 1: She now has about fifty three percent of the vote 174 00:09:53,679 --> 00:09:56,360 Speaker 1: to his forty seven. Somebody said to me today, it's like, 175 00:09:56,520 --> 00:09:59,200 Speaker 1: what are people voting for? Are they voting for crime? 176 00:10:00,040 --> 00:10:04,000 Speaker 1: Are they four more homelessness? Is that the agenda they want? 177 00:10:04,679 --> 00:10:07,960 Speaker 1: They believe that this path is a good one. Wow, 178 00:10:09,320 --> 00:10:12,200 Speaker 1: that's just crazy. I gotta look at see how Tracy Park. 179 00:10:13,280 --> 00:10:15,959 Speaker 1: Tracy Park has continued to hold her lead. It is 180 00:10:16,000 --> 00:10:19,160 Speaker 1: under six thousand votes, but she's at fifty three and 181 00:10:19,200 --> 00:10:22,240 Speaker 1: a half percent. That's good to Aaron Darlin's forty six 182 00:10:22,280 --> 00:10:26,480 Speaker 1: and a half percent. You know, I did a calculation, 183 00:10:28,960 --> 00:10:31,280 Speaker 1: just looked at different news articles on how many votes 184 00:10:31,280 --> 00:10:33,240 Speaker 1: would be left and tried to figure out how many 185 00:10:33,320 --> 00:10:35,640 Speaker 1: votes are left in that district. Really rough. I think 186 00:10:35,640 --> 00:10:38,600 Speaker 1: she's going to hold on because he would have to 187 00:10:38,640 --> 00:10:41,480 Speaker 1: get over sixty percent of the remaining vote, and it 188 00:10:41,480 --> 00:10:44,720 Speaker 1: looks like that hasn't happened anywhere yet. And as we mentioned, 189 00:10:44,720 --> 00:10:47,920 Speaker 1: the La County Sheriff Alex Vieneueva has conceded it's about 190 00:10:47,920 --> 00:10:51,520 Speaker 1: sixty forty in that race. Robert Lin's crazy too. Will 191 00:10:51,520 --> 00:10:53,600 Speaker 1: now be the next La County chef and a whore 192 00:10:53,600 --> 00:10:56,520 Speaker 1: on that in the five o'clock hour. I know you 193 00:10:56,640 --> 00:10:58,720 Speaker 1: like to look at this. The Elsa Gondo Times has 194 00:10:58,760 --> 00:11:02,040 Speaker 1: the map how did your neighborhood vote in the mayor's race. 195 00:11:03,120 --> 00:11:05,719 Speaker 1: It's a map of one hundred and fourteen neighborhoods within 196 00:11:05,760 --> 00:11:09,520 Speaker 1: the City of Los Angeles. The purple color and I 197 00:11:09,520 --> 00:11:12,880 Speaker 1: guess it's shades of purple. The darker the purple, the 198 00:11:12,920 --> 00:11:17,280 Speaker 1: more the Bass vote. The darker the green, the more 199 00:11:17,360 --> 00:11:20,880 Speaker 1: the Rick Caruso vote it's a bit fascinating to look at. 200 00:11:20,920 --> 00:11:22,600 Speaker 1: Are you looking at it yet? Yes, she's got the 201 00:11:22,600 --> 00:11:25,679 Speaker 1: west side and much of the valley, that's right. And 202 00:11:25,720 --> 00:11:29,000 Speaker 1: then she took the whole center LA South and the 203 00:11:29,040 --> 00:11:31,920 Speaker 1: East side of LA. That's where all the crime and homeless. 204 00:11:31,960 --> 00:11:34,960 Speaker 1: This is south of Santa Monica, which I guess brings 205 00:11:35,000 --> 00:11:37,000 Speaker 1: us down to the San Pedro area. Is that where 206 00:11:37,040 --> 00:11:41,839 Speaker 1: that is? San Pedro? Yeah? Is that that is at 207 00:11:41,840 --> 00:11:45,720 Speaker 1: the bottom next to Long Beach Rights, which she took 208 00:11:45,720 --> 00:11:47,600 Speaker 1: like one precinct I'm looking at you took seventy one 209 00:11:47,600 --> 00:11:50,440 Speaker 1: percent of the vote. Yeah, but everything else, everything else 210 00:11:50,559 --> 00:11:55,160 Speaker 1: is green down there. Oh my god. Yeah, it's it's 211 00:11:55,440 --> 00:11:59,320 Speaker 1: all purple in these densely populated East LA and South 212 00:11:59,440 --> 00:12:03,720 Speaker 1: LA district. But I thought that they vote less, they 213 00:12:03,760 --> 00:12:08,000 Speaker 1: would be to be less voters. Precinct precinct here has 214 00:12:08,080 --> 00:12:12,960 Speaker 1: four votes. No, No, you're here looking at You're looking 215 00:12:13,000 --> 00:12:18,160 Speaker 1: at the most fertile soil to harvest ballots. Yeah. Yeah, 216 00:12:18,200 --> 00:12:23,840 Speaker 1: that that's like the central Valley to grow olives. You 217 00:12:23,880 --> 00:12:26,960 Speaker 1: know what I'd like to know? All these late mail 218 00:12:27,040 --> 00:12:32,280 Speaker 1: in votes, and again yesterday was the cutoff. They give 219 00:12:32,360 --> 00:12:35,400 Speaker 1: seven days for your vote to arrive at the registrar's office. 220 00:12:35,880 --> 00:12:38,200 Speaker 1: I'd like to know, you know, what should these precincts? 221 00:12:38,240 --> 00:12:40,360 Speaker 1: Did they come from? These voting precincts? You know? And 222 00:12:40,440 --> 00:12:45,360 Speaker 1: he campaigned in these districts in Southeast LA like crazy. 223 00:12:45,760 --> 00:12:49,200 Speaker 1: He made far fewer appearances on the West side side, 224 00:12:49,280 --> 00:12:51,719 Speaker 1: but he went because they knew, they knew where the 225 00:12:51,840 --> 00:12:54,000 Speaker 1: Karen Bass votes would come from. And boy, he gave 226 00:12:54,000 --> 00:12:57,520 Speaker 1: it a great shot and it didn't do them any good. No, 227 00:12:57,679 --> 00:13:00,600 Speaker 1: they thought that he was making a dent with Latine voters. 228 00:13:00,880 --> 00:13:03,559 Speaker 1: He ran a lot of ads on Spanish language television 229 00:13:04,520 --> 00:13:07,320 Speaker 1: and not really seeing the results. I mean, there's a 230 00:13:07,320 --> 00:13:11,319 Speaker 1: couple of green spots out there, but it's mostly careful 231 00:13:11,360 --> 00:13:12,760 Speaker 1: in that part of this, because they were even the 232 00:13:12,760 --> 00:13:15,120 Speaker 1: only times rate stories saying that he was making inroads 233 00:13:15,120 --> 00:13:18,160 Speaker 1: with a lot of Latinos on the campaign stops. Now, 234 00:13:18,559 --> 00:13:20,440 Speaker 1: there's a lot of black voters who would vote for 235 00:13:20,520 --> 00:13:23,679 Speaker 1: Karen Bass, but that's not a big percentage of the 236 00:13:23,760 --> 00:13:28,600 Speaker 1: vote because blacks are not that bigger percentage of Los Angeles. 237 00:13:29,360 --> 00:13:31,360 Speaker 1: They are not anymore. No, No, I think they're only 238 00:13:31,440 --> 00:13:34,160 Speaker 1: but eight percent something like something like that, or the county. 239 00:13:34,200 --> 00:13:37,960 Speaker 1: But at least the city. It's but the Hispanic turnout 240 00:13:38,080 --> 00:13:43,600 Speaker 1: is usually really low. Right, the whites, the white areas 241 00:13:43,640 --> 00:13:48,920 Speaker 1: went for Crusoe and generally they have a very high turnout. Boy, 242 00:13:48,920 --> 00:13:51,160 Speaker 1: when you look at this map, the area you always 243 00:13:51,160 --> 00:13:53,880 Speaker 1: forget too of them, obviously is the valley that's part 244 00:13:53,880 --> 00:13:55,600 Speaker 1: of the city of la and people don't always think 245 00:13:55,600 --> 00:13:58,120 Speaker 1: of it as that way. And then just the northern 246 00:13:58,200 --> 00:14:00,680 Speaker 1: part of the valley just north of the city, way 247 00:14:00,760 --> 00:14:02,440 Speaker 1: up there. It's like, I forget that's part of the 248 00:14:02,440 --> 00:14:05,920 Speaker 1: city too. You're always heading up towards Burbank. The city 249 00:14:05,960 --> 00:14:08,640 Speaker 1: is ridiculous. It's it's something like four hundred and sixty 250 00:14:08,640 --> 00:14:11,840 Speaker 1: five square miles. Yeah, it looks tremendous on this which 251 00:14:11,880 --> 00:14:15,120 Speaker 1: is why it doesn't work. You know, we really should 252 00:14:15,160 --> 00:14:20,120 Speaker 1: be broken up into dozens of smaller towns. Yes, I 253 00:14:20,360 --> 00:14:23,840 Speaker 1: mean where I grew up, Burton County had I forget, 254 00:14:23,880 --> 00:14:28,400 Speaker 1: like sixty seventy separate towns, and I was in a 255 00:14:28,440 --> 00:14:31,000 Speaker 1: town of fifteen thousand people and it's very manageable. Everybody 256 00:14:31,000 --> 00:14:33,760 Speaker 1: had their own police department, they had their own town council, 257 00:14:34,920 --> 00:14:38,760 Speaker 1: and there was I think the largest city in Burton 258 00:14:38,800 --> 00:14:41,480 Speaker 1: County where I was was forty three thousand people. Now 259 00:14:41,520 --> 00:14:44,160 Speaker 1: you add it all together, and I think it was 260 00:14:44,280 --> 00:14:46,120 Speaker 1: like maybe nine hundred thousand in the county if I 261 00:14:46,160 --> 00:14:48,880 Speaker 1: remember right, There was a substantial amount of people that 262 00:14:48,960 --> 00:14:51,720 Speaker 1: lived in the in the county, but it was broken 263 00:14:51,800 --> 00:14:55,720 Speaker 1: up sixty seventy different ways. But they broken up here 264 00:14:55,800 --> 00:14:59,960 Speaker 1: by LA is forty eight percent Latino, eight percent black, 265 00:15:00,080 --> 00:15:03,360 Speaker 1: there's your answer, twelve percent Asian, twenty eight percent white, 266 00:15:04,960 --> 00:15:11,320 Speaker 1: and obviously black majority voted heavily for Bass. Majority Latino 267 00:15:11,360 --> 00:15:13,640 Speaker 1: neighborhoods split the vote between the two candidates, and the 268 00:15:13,680 --> 00:15:17,480 Speaker 1: wealthier neighborhoods heavily favored Caruso. John's west side people did 269 00:15:17,560 --> 00:15:19,920 Speaker 1: vote for Caruso. Yeah, I saw a lot more Caruso 270 00:15:20,280 --> 00:15:27,160 Speaker 1: lawn signs than Bass. Right, fifty three percent of LA 271 00:15:27,240 --> 00:15:30,280 Speaker 1: households make above sixty thousand. That's not much when you 272 00:15:30,320 --> 00:15:34,240 Speaker 1: think about it. Scent, you know, and and and the 273 00:15:34,600 --> 00:15:40,840 Speaker 1: poor people, the poor neighborhoods have huge homeless camps, right, problems, right, 274 00:15:40,960 --> 00:15:47,520 Speaker 1: and they have more criminal problems. And there they have 275 00:15:47,600 --> 00:15:51,400 Speaker 1: now just hired somebody who's gonna do nothing. She has 276 00:15:51,440 --> 00:15:55,120 Speaker 1: no executive skills, She has no executive decision making skills. 277 00:15:55,680 --> 00:15:58,400 Speaker 1: And she thought she can bring people together. She's by 278 00:15:58,480 --> 00:16:00,760 Speaker 1: part of it. We don't read people be brought together. 279 00:16:01,040 --> 00:16:04,280 Speaker 1: What we need is somebody to execute properly to make 280 00:16:04,280 --> 00:16:09,000 Speaker 1: the machine run. That's what we need. We need somebody 281 00:16:09,040 --> 00:16:12,080 Speaker 1: to say yes and no and have certain priorities and 282 00:16:12,360 --> 00:16:16,040 Speaker 1: stick to a path to achieve those goals. I don't 283 00:16:16,040 --> 00:16:18,400 Speaker 1: want to hear about this. It'll bring us all together. Crap. 284 00:16:19,080 --> 00:16:20,880 Speaker 1: I don't want to be brought all together. I want 285 00:16:20,880 --> 00:16:22,880 Speaker 1: the home most and the criminals off the streets. That's 286 00:16:22,920 --> 00:16:25,360 Speaker 1: what I want. All right, we're coming up, John and 287 00:16:25,440 --> 00:16:28,720 Speaker 1: Ken caf I am sixty live everywhere in the iheartradiot. 288 00:16:28,720 --> 00:16:31,400 Speaker 1: Nobody's coming over my house to visit anyway. You don't 289 00:16:31,440 --> 00:16:33,240 Speaker 1: have to do. You know we are going to be 290 00:16:33,240 --> 00:16:37,360 Speaker 1: giving away four packs of tickets to Disneyland Magic when 291 00:16:37,840 --> 00:16:43,320 Speaker 1: well you keep saying that well now through all this week. 292 00:16:43,800 --> 00:16:45,760 Speaker 1: I don't know if we're giving it away, but somewhere 293 00:16:45,760 --> 00:16:52,640 Speaker 1: on caf okay, misinterpreting Magic means the holidays at Disneyland Resort, 294 00:16:52,680 --> 00:16:54,840 Speaker 1: calf I wants to send you to experience the festive 295 00:16:54,920 --> 00:16:57,840 Speaker 1: joy you've been dreaming about. Magic means sleeping. Beauty is 296 00:16:57,880 --> 00:17:01,400 Speaker 1: winter castle covered in festive lights. Wait, there's more festival, 297 00:17:01,880 --> 00:17:05,560 Speaker 1: the Disney Festival of Holidays and Disney Viva Navidad Street Party. 298 00:17:06,040 --> 00:17:08,879 Speaker 1: Magic is the Holidays now through January eighth. Both ticket 299 00:17:08,920 --> 00:17:12,520 Speaker 1: some park reservations required. Visit Disneyland dot com for important details. 300 00:17:14,160 --> 00:17:17,560 Speaker 1: Got well gas offering subject to capacity restrictions and change 301 00:17:17,560 --> 00:17:20,560 Speaker 1: without notice. Keep listening here on camfire. Great chance to win? 302 00:17:21,160 --> 00:17:24,399 Speaker 1: Can you read any faster? All right, we will be 303 00:17:24,480 --> 00:17:28,520 Speaker 1: talking to Steve Gregory who was listening in as Sheriff 304 00:17:28,560 --> 00:17:31,000 Speaker 1: Alex vien Auava said goodbye. He has conceded in the 305 00:17:31,080 --> 00:17:33,600 Speaker 1: race for La County Sheriff. That'll come up dark days 306 00:17:33,800 --> 00:17:37,480 Speaker 1: after the news at five o'clock days. Also a sad 307 00:17:37,560 --> 00:17:41,520 Speaker 1: update to report back on Halloween October thirty. First, there 308 00:17:41,520 --> 00:17:44,520 Speaker 1: were four contract workers in lax who were working in 309 00:17:44,560 --> 00:17:48,439 Speaker 1: a utility room and apparently there was an unexpected release 310 00:17:48,440 --> 00:17:52,480 Speaker 1: of carbon dioxide from a fire suppression system. And that 311 00:17:52,720 --> 00:17:55,640 Speaker 1: is very dangerous because that's basically just supposed to suck 312 00:17:55,720 --> 00:17:59,639 Speaker 1: the fire away very quickly. That you can't bread that in. 313 00:18:00,200 --> 00:18:04,240 Speaker 1: One of the workers has died. Oh, it's terrible. Chriss 314 00:18:04,280 --> 00:18:06,600 Speaker 1: Abraham was the one that had to be hospitalized. The 315 00:18:06,640 --> 00:18:09,560 Speaker 1: others were treated, and they put him in a medically 316 00:18:09,560 --> 00:18:15,680 Speaker 1: induced coma, but he died Friday. Well, you suck carbon dioxide. 317 00:18:15,720 --> 00:18:20,160 Speaker 1: It suffocates you, yes, And apparently whatever damage it did 318 00:18:20,480 --> 00:18:26,199 Speaker 1: internally to him, he was unable to recover. So he 319 00:18:26,400 --> 00:18:31,440 Speaker 1: was found unresponsive and they carried him across the room 320 00:18:31,480 --> 00:18:34,720 Speaker 1: up a short flight of stairs to a safer oxygen environment, 321 00:18:35,520 --> 00:18:38,119 Speaker 1: and they did confront He was pulseless and non breathing 322 00:18:38,160 --> 00:18:41,119 Speaker 1: at the time, so somehow they set off this fire alarm, 323 00:18:41,160 --> 00:18:43,800 Speaker 1: but they're able to return his pulse and spontaneous breathing 324 00:18:43,800 --> 00:18:45,240 Speaker 1: in the ambulance, and then they put him in a 325 00:18:45,240 --> 00:18:49,600 Speaker 1: medically induced comma, but he did not. Somehow it got released, 326 00:18:49,640 --> 00:18:52,480 Speaker 1: and that's going to obviously be a major investigation which 327 00:18:52,480 --> 00:18:55,840 Speaker 1: could also lead perhaps to a lawsuit. I mean, these 328 00:18:55,840 --> 00:18:58,680 Speaker 1: were contract workers working in this utility room and whether 329 00:18:58,760 --> 00:19:02,200 Speaker 1: or not they did it by act and were doing 330 00:19:02,280 --> 00:19:05,040 Speaker 1: something what was it called? Yeah, I forget what they 331 00:19:05,040 --> 00:19:08,440 Speaker 1: were working on, right, Yeah, some some like like soldering 332 00:19:09,440 --> 00:19:14,040 Speaker 1: something that's right, branding, No, brazing, that's what they were doing. Brazing. 333 00:19:14,080 --> 00:19:16,720 Speaker 1: We're very good. That was the term. Look at you 334 00:19:17,200 --> 00:19:20,119 Speaker 1: sometimes you recall things, and sometimes you don't. No, I 335 00:19:20,160 --> 00:19:26,400 Speaker 1: had my Biden moments. Well guests who appeared yesterday at 336 00:19:26,400 --> 00:19:29,920 Speaker 1: a public event. I can't remember the last time Eric 337 00:19:29,960 --> 00:19:34,480 Speaker 1: Garcetti was that. Yeah, exactly, he's out of office. And 338 00:19:34,560 --> 00:19:38,440 Speaker 1: then under a month now he announced that the Circle 339 00:19:38,520 --> 00:19:43,080 Speaker 1: program was being expanded. What is the Circle Program? Well, 340 00:19:43,080 --> 00:19:45,359 Speaker 1: this is this idea that if people call nine one one, 341 00:19:45,480 --> 00:19:48,399 Speaker 1: especially to complain about the homeless, you don't send the 342 00:19:48,400 --> 00:19:52,320 Speaker 1: cops with guns. You send these outreach workers. That's an 343 00:19:52,320 --> 00:19:56,600 Speaker 1: interesting experiment. They initially launched it in January and Hollywood, 344 00:19:56,600 --> 00:20:01,120 Speaker 1: in Venice and U Circle Divert. It's non violent. Nine 345 00:20:01,200 --> 00:20:04,640 Speaker 1: one one calls really to homelessness too trained and unarmed professionals. 346 00:20:05,040 --> 00:20:07,080 Speaker 1: So yeah, somebody calls and said, this homeless guy with 347 00:20:07,119 --> 00:20:11,679 Speaker 1: a knife. They're not sending these people except you don't 348 00:20:11,760 --> 00:20:14,600 Speaker 1: know if he's got a knife on him. See, this 349 00:20:14,640 --> 00:20:18,960 Speaker 1: program will last until the first outreach worker gets stabbed 350 00:20:18,960 --> 00:20:22,600 Speaker 1: to death. I think so too. That didn't happen so 351 00:20:22,680 --> 00:20:25,800 Speaker 1: far this year in this experimental program, and Venice in 352 00:20:25,880 --> 00:20:28,000 Speaker 1: Hollywood are places with a lot of homeless. Shouldn't they 353 00:20:28,000 --> 00:20:31,240 Speaker 1: carry pepper spray? At least they will now operate in 354 00:20:31,280 --> 00:20:34,120 Speaker 1: Downtown LA and Lincoln Heights, South LA in the Northeast Valley. 355 00:20:34,160 --> 00:20:36,879 Speaker 1: I wouldn't do the job unless I had pepper spray. Well, 356 00:20:36,880 --> 00:20:39,320 Speaker 1: wouldn't these be the same people that do quote the 357 00:20:39,359 --> 00:20:42,000 Speaker 1: outreach anyway, these people with the little vest that stand 358 00:20:42,040 --> 00:20:44,680 Speaker 1: there and I don't just be this but now with 359 00:20:44,760 --> 00:20:46,640 Speaker 1: a nine one one call, yeah, you could be dealing 360 00:20:46,640 --> 00:20:49,160 Speaker 1: with something far more serious than just a homeless guy 361 00:20:49,160 --> 00:20:52,040 Speaker 1: you'd come across. Listen to this Garcetti quote. This is classic. 362 00:20:53,359 --> 00:20:56,439 Speaker 1: The expansion of this program will ensure that our unhoused 363 00:20:56,440 --> 00:21:00,399 Speaker 1: neighbors are met with compassion and care they deserve, and 364 00:21:00,600 --> 00:21:04,960 Speaker 1: is another step toward our ultimate goal ending homelessness in 365 00:21:05,040 --> 00:21:09,439 Speaker 1: Los Angeles. Wow, that is a load of steaming horseman, 366 00:21:09,560 --> 00:21:12,600 Speaker 1: or isn't it. Proactive teams are despoined in areas of 367 00:21:12,680 --> 00:21:15,720 Speaker 1: high need within each circle area for eight hours a day. 368 00:21:16,160 --> 00:21:18,040 Speaker 1: By the way, circles the acronym they use. You don't 369 00:21:18,040 --> 00:21:22,720 Speaker 1: what that stands for? Community led engagement? Is that? No, 370 00:21:23,000 --> 00:21:25,879 Speaker 1: that doesn't spell out circle. Oh No, it's crisis and 371 00:21:26,000 --> 00:21:28,840 Speaker 1: incident response through community led engagement. You're right, that's the 372 00:21:28,880 --> 00:21:33,680 Speaker 1: full air cl that's really labored isn't it. But he's 373 00:21:33,720 --> 00:21:39,080 Speaker 1: just like Newsome. They love task forces and acronyms and 374 00:21:39,320 --> 00:21:43,080 Speaker 1: just fancy catchy names for things. The teams proactively de 375 00:21:43,320 --> 00:21:48,119 Speaker 1: escalate situations and provide sustained outreach, connection to resources and 376 00:21:48,240 --> 00:21:51,680 Speaker 1: engage like this, engage in light sanitation services. Does that 377 00:21:51,720 --> 00:21:55,000 Speaker 1: mean they clean up the poop light sanitation, That's what 378 00:21:55,080 --> 00:21:58,560 Speaker 1: it says, light sanitation, light services, light poop loads. Yeah, 379 00:21:58,600 --> 00:22:00,440 Speaker 1: I would imagine that would be more like a needle 380 00:22:00,440 --> 00:22:03,800 Speaker 1: on the ground. I well, they got themselves eight million 381 00:22:03,880 --> 00:22:06,399 Speaker 1: dollars to expand in the new budget. You know something, 382 00:22:06,480 --> 00:22:09,000 Speaker 1: This is the press release that we're reading from from now, 383 00:22:09,000 --> 00:22:11,040 Speaker 1: I'm reading from Channel two stores. Oh no, I get, 384 00:22:11,160 --> 00:22:14,360 Speaker 1: I got Lamayer dot org gear. Yeah, and so at 385 00:22:14,359 --> 00:22:17,359 Speaker 1: the end, at the end, they do the do the 386 00:22:17,440 --> 00:22:21,080 Speaker 1: raw rock paragraph. Since taking office, Mayor Garcetti has acted 387 00:22:21,080 --> 00:22:25,760 Speaker 1: with unprecedented urgency to confront the homelessness and housing crisis, 388 00:22:26,240 --> 00:22:29,480 Speaker 1: from expanding the homelessness budget to over twenty times what 389 00:22:29,640 --> 00:22:32,439 Speaker 1: it was eight years ago, same old garbage. Look how 390 00:22:32,520 --> 00:22:36,440 Speaker 1: much money we spent. We spent twenty times as much 391 00:22:36,480 --> 00:22:40,400 Speaker 1: as we used to and it was a failure. Everything 392 00:22:40,440 --> 00:22:45,920 Speaker 1: got worse, Everything got worse, we wait a second, three 393 00:22:46,000 --> 00:22:48,520 Speaker 1: hundred and seventy million dollars for more than twenty six 394 00:22:48,640 --> 00:22:53,320 Speaker 1: hundred total housing units. Oh, I don't want to do 395 00:22:53,359 --> 00:22:55,800 Speaker 1: the math on that. I think I will. That seems 396 00:22:55,800 --> 00:22:58,600 Speaker 1: like a bad number. Three hundred seventy million for twenty 397 00:22:58,640 --> 00:23:02,600 Speaker 1: six hundred total housing years. Let's see run that one 398 00:23:02,680 --> 00:23:05,280 Speaker 1: through three hundred and seventy million, Yeah, divided by twenty 399 00:23:05,320 --> 00:23:08,960 Speaker 1: six hundred, let's see. All right, so right by twenty 400 00:23:08,960 --> 00:23:10,760 Speaker 1: six hundred soft the top of my head, it seems 401 00:23:10,800 --> 00:23:14,480 Speaker 1: like it's one hundred and forty two thousand each. Oh, 402 00:23:14,520 --> 00:23:16,000 Speaker 1: I don't believe that. What are they building for one 403 00:23:16,040 --> 00:23:18,600 Speaker 1: hundred forty two thousand? Oh, it's not one of those 404 00:23:18,600 --> 00:23:21,560 Speaker 1: little tiny homes. Oh boy, all right, that that is 405 00:23:21,600 --> 00:23:25,439 Speaker 1: some that's like BS accounting there, And what are they 406 00:23:25,480 --> 00:23:27,400 Speaker 1: building for a hundred? If it's one hundred and forty 407 00:23:27,400 --> 00:23:31,720 Speaker 1: two thousand, they should have solved the whole problem by now. Uh. Yeah, 408 00:23:31,760 --> 00:23:33,800 Speaker 1: I'm not so sure that's all the money either, because 409 00:23:34,080 --> 00:23:37,320 Speaker 1: but remember this this proposition, money, oh, was just part 410 00:23:37,359 --> 00:23:39,480 Speaker 1: of it. It's just part of the funding for these 411 00:23:39,520 --> 00:23:44,000 Speaker 1: housing units, that's right, right, so right, so these must 412 00:23:44,040 --> 00:23:47,080 Speaker 1: be the seven hundred thousand dollars housing years. It could 413 00:23:47,119 --> 00:23:51,639 Speaker 1: be yeah, yeah, yeah, all right, we got more coming up. 414 00:23:51,680 --> 00:23:54,880 Speaker 1: We've just been told that we will have a conversation 415 00:23:54,960 --> 00:23:59,280 Speaker 1: with La County Sheriff Alex Vieneueva, who officially conceded the 416 00:23:59,359 --> 00:24:04,720 Speaker 1: race today his opponent Robert Luna. We will talk to him. Unfortunately, 417 00:24:04,760 --> 00:24:07,119 Speaker 1: he's not going to be the sheriff. Soon after the 418 00:24:07,160 --> 00:24:09,280 Speaker 1: news at five, John and Ken kf I am six 419 00:24:09,440 --> 00:24:11,960 Speaker 1: forty live everywhere on the iHeartRadio app. There's a wild 420 00:24:12,040 --> 00:24:13,960 Speaker 1: video on the Daily Mail. Did you see this? What 421 00:24:14,000 --> 00:24:17,800 Speaker 1: happened to San Francisco? Yeah, the wedding photographer who got mugged, 422 00:24:18,359 --> 00:24:21,119 Speaker 1: wrestled to the ground pistol whipped in front of the 423 00:24:21,160 --> 00:24:24,960 Speaker 1: bride and groom in daylight. This a young Asian couple 424 00:24:25,160 --> 00:24:28,959 Speaker 1: or getting their pictures taken. And two thugs show up 425 00:24:29,000 --> 00:24:31,280 Speaker 1: in hoodies and they just beat the pooh out of 426 00:24:31,280 --> 00:24:33,800 Speaker 1: the photographer and they're whacking him in the face with 427 00:24:33,920 --> 00:24:36,880 Speaker 1: a pistols, Like, what the hell they wanted his equipment? 428 00:24:36,920 --> 00:24:39,720 Speaker 1: I guess yeah, they tried to grab his camera and 429 00:24:39,720 --> 00:24:42,639 Speaker 1: the gear from his bag. That's happened to remember, Like news, 430 00:24:42,680 --> 00:24:45,240 Speaker 1: the reporters News crews are out there. They've gotten mugged, 431 00:24:45,240 --> 00:24:47,879 Speaker 1: two for their cameras. I guess there's something you can 432 00:24:47,920 --> 00:24:50,720 Speaker 1: do and reselling that. It was the second attack on 433 00:24:50,880 --> 00:24:55,560 Speaker 1: wedding photographers that day at the Palace of Fine Arts. 434 00:24:56,160 --> 00:24:58,920 Speaker 1: That's a nice place. Yeah, I've been there. Yeah. Well, 435 00:24:58,920 --> 00:25:01,360 Speaker 1: I guess people are getting married there and yeah it's 436 00:25:01,400 --> 00:25:05,560 Speaker 1: beautiful grounds. Wow, good pictures. Nice what a great city. 437 00:25:05,640 --> 00:25:11,440 Speaker 1: Huh hut it up after four couple. I feel so 438 00:25:11,480 --> 00:25:14,720 Speaker 1: sad for the bride. It's like, God, your wedding day, 439 00:25:14,720 --> 00:25:19,600 Speaker 1: your photographer gets because you live in an insane city. 440 00:25:21,240 --> 00:25:23,200 Speaker 1: We want to hear from you through the moistline. Leave 441 00:25:23,240 --> 00:25:26,720 Speaker 1: a message through the iHeartRadio app, the microphone icon with 442 00:25:26,800 --> 00:25:29,879 Speaker 1: the John and Ken page there or Ken part of 443 00:25:29,880 --> 00:25:32,119 Speaker 1: the app, or call the toll free number one eight 444 00:25:32,200 --> 00:25:35,040 Speaker 1: seven seven Moist eighty six one eight seven seven six 445 00:25:35,200 --> 00:25:39,199 Speaker 1: six four seven eight eight six. He will now be 446 00:25:39,240 --> 00:25:42,880 Speaker 1: the outgoing Sheriff of La County. Alex Fienueva has conceded 447 00:25:42,880 --> 00:25:45,720 Speaker 1: the race to Robert Luna, the former police chief of 448 00:25:45,800 --> 00:25:49,399 Speaker 1: Long Beach, and he will join us to talk about 449 00:25:49,400 --> 00:25:54,919 Speaker 1: this at five o five. Now, remember last hour, we 450 00:25:55,040 --> 00:25:57,879 Speaker 1: told you about a possible breakthrough when it comes to 451 00:25:57,920 --> 00:26:02,280 Speaker 1: weight loss. Drugs that reduce your cravings, tell your brain 452 00:26:02,400 --> 00:26:05,560 Speaker 1: that you are full, make food taste bad. You may 453 00:26:05,600 --> 00:26:09,800 Speaker 1: reject some of your favorites as just not being pleasurable anymore. 454 00:26:10,200 --> 00:26:13,800 Speaker 1: Seems like that's a win lose there. Yeah, what kind 455 00:26:13,840 --> 00:26:15,600 Speaker 1: of what kind of life is that? I think if 456 00:26:15,640 --> 00:26:19,280 Speaker 1: I was really obese, though, I'd go for it. Really obased, Yeah, yes, 457 00:26:19,840 --> 00:26:22,360 Speaker 1: but if people are just like ten pounds overweight, that's 458 00:26:22,359 --> 00:26:25,159 Speaker 1: probably not really going to be worth it, because you know, 459 00:26:25,720 --> 00:26:28,479 Speaker 1: if you really enjoy the steak or the Chick fil a, well, 460 00:26:28,480 --> 00:26:30,399 Speaker 1: because you get off the drugs, you'll be out of 461 00:26:30,400 --> 00:26:33,560 Speaker 1: your mind and gorge. They always said that. They always 462 00:26:33,560 --> 00:26:35,200 Speaker 1: said if they come through with drugs, it really is 463 00:26:35,200 --> 00:26:36,880 Speaker 1: going to be for people that are in that morbidly 464 00:26:36,920 --> 00:26:40,040 Speaker 1: obese category. But you can see because in the story 465 00:26:40,080 --> 00:26:42,280 Speaker 1: we did the people playing around with it, there are 466 00:26:42,280 --> 00:26:45,320 Speaker 1: women that consider themselves overweight. Then you know what that, Well, 467 00:26:45,320 --> 00:26:48,280 Speaker 1: everybody wants fat burning drugs, but you end up having 468 00:26:48,320 --> 00:26:51,600 Speaker 1: to take amphetamines right, Oh, that speed up your system 469 00:26:51,600 --> 00:26:58,080 Speaker 1: and make you crazy. Now, from another science development, which 470 00:26:58,119 --> 00:27:01,440 Speaker 1: could be a bit of a game changer, apparently, researchers 471 00:27:01,440 --> 00:27:04,560 Speaker 1: at the University of Houston may have developed a vaccine 472 00:27:05,560 --> 00:27:10,120 Speaker 1: for fentnyl. It blocks the ability of fentnyl to enter 473 00:27:10,160 --> 00:27:15,239 Speaker 1: the brain. So I guess if you're gonna probably go 474 00:27:15,320 --> 00:27:18,879 Speaker 1: and get a you know, water through social media, like 475 00:27:18,920 --> 00:27:22,280 Speaker 1: a pain reliever pill that you think is an or 476 00:27:22,400 --> 00:27:24,159 Speaker 1: worried it could be laced with fentyl, Well, if you 477 00:27:24,160 --> 00:27:28,120 Speaker 1: get the vaccine. Hopefully, if this pans out, it could 478 00:27:28,119 --> 00:27:32,280 Speaker 1: block the effects of fentnyl. The findings were published in 479 00:27:32,320 --> 00:27:37,120 Speaker 1: the journal Pharmaceutics, and fentnyl, of course, is fifty times 480 00:27:37,119 --> 00:27:40,919 Speaker 1: stronger than heroin one hundred times stronger than morphine. A 481 00:27:41,000 --> 00:27:43,439 Speaker 1: dose of only two milligrams, which is a couple of 482 00:27:43,440 --> 00:27:47,680 Speaker 1: grains of rice, could possibly kill you. The studies lead 483 00:27:47,720 --> 00:27:51,520 Speaker 1: author said the vaccine is able to generate anti fentanyl 484 00:27:51,560 --> 00:27:56,120 Speaker 1: antibodies that bind to the consumed fentanyl and prevented from 485 00:27:56,200 --> 00:27:59,240 Speaker 1: entering the brain, allowing it to be eliminated out of 486 00:27:59,280 --> 00:28:03,679 Speaker 1: the bodies through the kidney. That is fantastic. Everybody's going 487 00:28:03,760 --> 00:28:07,120 Speaker 1: to have to get their kids injected. I would think 488 00:28:07,119 --> 00:28:09,200 Speaker 1: there would be a lot of interested parents who believe 489 00:28:09,200 --> 00:28:13,399 Speaker 1: their kids might experiment with the popular drugs that maybe 490 00:28:13,440 --> 00:28:16,240 Speaker 1: they want them to get the fentanyl vaccine. Whenever this 491 00:28:16,520 --> 00:28:21,200 Speaker 1: becomes a reality, I mean, the individual will not feel 492 00:28:21,760 --> 00:28:25,320 Speaker 1: the euphoric effects and can get back on the wagon 493 00:28:25,440 --> 00:28:30,240 Speaker 1: to sobriety. Anti fentyl antibodies were specific to that, and 494 00:28:30,280 --> 00:28:33,840 Speaker 1: a fentyl derivative did not cross react with other opioids 495 00:28:33,880 --> 00:28:37,120 Speaker 1: like morphine. This means that a person vaccinated for fentyl 496 00:28:37,200 --> 00:28:41,640 Speaker 1: could still be treated with other opioids. So if you 497 00:28:41,680 --> 00:28:44,280 Speaker 1: were getting a pain killer that's laced with fentanyl, the 498 00:28:44,320 --> 00:28:47,280 Speaker 1: opioids would still work to relieve your pain. Well, they 499 00:28:47,320 --> 00:28:51,160 Speaker 1: only give you fentanyl if you have you're an extreme situation. Yeah, 500 00:28:51,240 --> 00:28:53,040 Speaker 1: to me, this is for people that don't know. I 501 00:28:53,040 --> 00:28:56,320 Speaker 1: think they did that in hospitals for like OxyContin that 502 00:28:56,360 --> 00:28:59,720 Speaker 1: gets late with fentinyl and yeah, yeah, this was the 503 00:29:00,200 --> 00:29:05,080 Speaker 1: because this is more powerful than oxy content. Right. Eighty 504 00:29:05,080 --> 00:29:08,680 Speaker 1: percent of those dependent on opioids suffer a relapse according 505 00:29:08,680 --> 00:29:13,280 Speaker 1: to research so far, clinical studies did not cause any 506 00:29:13,320 --> 00:29:17,800 Speaker 1: adverse side effects. Oh it was rats. They tested and 507 00:29:18,040 --> 00:29:22,600 Speaker 1: unized rats. Poor rats. They're always going down for the cause. Yeah, 508 00:29:24,960 --> 00:29:27,440 Speaker 1: so no, so no bad side effects yet. I don't 509 00:29:27,480 --> 00:29:31,120 Speaker 1: have any idea when clinical trials will soon begin. If 510 00:29:31,120 --> 00:29:33,520 Speaker 1: we're gonna save children and humans, I should say it's 511 00:29:33,520 --> 00:29:39,400 Speaker 1: worth killing the rats, right, Deborrah, what it's worth killing 512 00:29:39,440 --> 00:29:43,720 Speaker 1: the rats? Yeah, yeah, they're just saved children from fentanyl overdose. Yes, yes, 513 00:29:43,960 --> 00:29:47,400 Speaker 1: but again, but wait, but again, I would have predicted 514 00:29:47,520 --> 00:29:51,160 Speaker 1: I'm going to say something else. Rats over kids. No, 515 00:29:51,440 --> 00:29:53,600 Speaker 1: rats are not up on my They're not at the 516 00:29:53,640 --> 00:29:56,880 Speaker 1: top of my hierarchy. But I'm assuming that there is 517 00:29:56,920 --> 00:29:59,760 Speaker 1: a way one day where we won't have to experiment 518 00:29:59,800 --> 00:30:02,760 Speaker 1: on animals. And they always said that they can use 519 00:30:02,800 --> 00:30:08,240 Speaker 1: computer simulation, right exactly, So I'd rather them not. But yeah, rats, 520 00:30:08,280 --> 00:30:10,600 Speaker 1: you don't care much, No I do. They're just not 521 00:30:10,640 --> 00:30:13,760 Speaker 1: my favorite. They're not at the top. They're not like dogs. Stop. 522 00:30:13,840 --> 00:30:16,040 Speaker 1: If you want to rat in your kitchen, you'd get 523 00:30:16,080 --> 00:30:18,320 Speaker 1: out of gun and blow it, wouldn't. I'd scowed it 524 00:30:18,400 --> 00:30:22,160 Speaker 1: out with a broom very gently, so I didn't kill it, 525 00:30:23,760 --> 00:30:27,000 Speaker 1: all right. Elli County Sheriff Alex Vitaueva has conceded the 526 00:30:27,080 --> 00:30:30,160 Speaker 1: race to the former Long Beach Police Chief Robert Luna. 527 00:30:30,280 --> 00:30:32,920 Speaker 1: We'll talk to Sheriff Vinueva next. Johnny ken caf I 528 00:30:33,000 --> 00:30:35,960 Speaker 1: AM six forty Live, Everywhere, on the iHeart Radio app 529 00:30:36,040 --> 00:30:38,680 Speaker 1: and Deborah Mark Live the twenty four hour Calfine Newsroom