1 00:00:00,040 --> 00:00:02,400 Speaker 1: Well, a quick reminder that the Moist line is there 2 00:00:02,440 --> 00:00:08,760 Speaker 1: for you. It is the People's and Ken Show voicemail. 3 00:00:09,119 --> 00:00:11,000 Speaker 1: You'll leave us a message and we play some back 4 00:00:11,039 --> 00:00:12,920 Speaker 1: on Friday. We just kind of collect them all in 5 00:00:12,960 --> 00:00:15,880 Speaker 1: to shoot them all out at once. You can do 6 00:00:15,880 --> 00:00:18,840 Speaker 1: that through the iHeartRadio app the microphone icon. You can 7 00:00:18,880 --> 00:00:21,560 Speaker 1: call that toll free number one eight seven seven Moist 8 00:00:22,120 --> 00:00:26,200 Speaker 1: eighty six eight seven seven six six four seven eight 9 00:00:26,239 --> 00:00:30,160 Speaker 1: eight six. Well, we were just talking about appoaching crew 10 00:00:30,680 --> 00:00:33,840 Speaker 1: up in Venture County that got caught. They're out there 11 00:00:33,880 --> 00:00:36,960 Speaker 1: grabbing more than their share of deer and bear or 12 00:00:37,000 --> 00:00:39,879 Speaker 1: whatever else. In one case, apparently it took a mountain line, 13 00:00:39,880 --> 00:00:42,360 Speaker 1: which is not allowed to do. Debra Marks very happy 14 00:00:42,360 --> 00:00:44,920 Speaker 1: that they've been busted. Yes, But now we move into 15 00:00:44,960 --> 00:00:48,400 Speaker 1: the other problem, which cropped up again late last week 16 00:00:48,479 --> 00:00:50,879 Speaker 1: when a little girl got tackled by a coyote who 17 00:00:50,920 --> 00:00:54,280 Speaker 1: started to drag her away in Woodland Hills. Her father 18 00:00:54,400 --> 00:00:57,640 Speaker 1: came to the rescue. We'll start by playing this story 19 00:00:57,720 --> 00:01:02,280 Speaker 1: from KTLACHAML five and a Welsh about coyote attacks on 20 00:01:02,320 --> 00:01:05,000 Speaker 1: the rise. Well, we've learned that this aggressive coyote had 21 00:01:05,040 --> 00:01:07,120 Speaker 1: been on the radar for a couple of weeks, and 22 00:01:07,200 --> 00:01:10,120 Speaker 1: now that it's attacked a human, the focus is to 23 00:01:10,160 --> 00:01:12,280 Speaker 1: track it down and capture it. Here's what Fish and 24 00:01:12,319 --> 00:01:15,960 Speaker 1: Wildlife told us is going on right now. People who 25 00:01:16,040 --> 00:01:18,760 Speaker 1: are in the area, they have dark rifles available, tranquilizing 26 00:01:18,840 --> 00:01:22,120 Speaker 1: rifles available, and if there's a nine one one call 27 00:01:22,400 --> 00:01:24,640 Speaker 1: that comes in and somebody says, hey, there's a coyote 28 00:01:24,640 --> 00:01:27,600 Speaker 1: in my backyard right now, they'll be immediately available to respond. 29 00:01:27,760 --> 00:01:31,280 Speaker 1: So that's the plan as it's being taken right now 30 00:01:31,680 --> 00:01:35,560 Speaker 1: from our wildlife officers. This response was triggered by this 31 00:01:35,640 --> 00:01:38,399 Speaker 1: frightening attack hut on video a toddler attack by a 32 00:01:38,440 --> 00:01:41,600 Speaker 1: coyote along Martha Street in Woodland Hills as her dad 33 00:01:41,640 --> 00:01:44,280 Speaker 1: wasn't loading the car after returning home from pre school. 34 00:01:44,319 --> 00:01:47,760 Speaker 1: The little girl suffered some deep scratches, needed a raby's shot. 35 00:01:47,840 --> 00:01:49,600 Speaker 1: She's going to be okay, but it's got people in 36 00:01:49,600 --> 00:01:53,360 Speaker 1: this area very concerned about it happening again. Wildlife experts 37 00:01:53,400 --> 00:01:55,480 Speaker 1: again tell us that they were well aware of the problem. 38 00:01:55,520 --> 00:01:59,160 Speaker 1: They'd received numerous complaints about an aggressive coyote lunging at 39 00:01:59,200 --> 00:02:02,160 Speaker 1: dogs and owner as while they were out walking. Volunteers 40 00:02:02,200 --> 00:02:05,040 Speaker 1: had been out on Martha Street just hours before that 41 00:02:05,040 --> 00:02:07,920 Speaker 1: little girl was attacked. Trying to educate people about how 42 00:02:07,920 --> 00:02:11,840 Speaker 1: to better coexist with wild animals like coyotes, about never feeding. 43 00:02:11,880 --> 00:02:15,240 Speaker 1: These animals are doing it inadvertently by leaving out unsecured 44 00:02:15,280 --> 00:02:18,800 Speaker 1: trash or pet food or fruit droppings from trees. Now, 45 00:02:19,040 --> 00:02:22,520 Speaker 1: coyotes and urban areas are a problem all across the Southland, 46 00:02:22,520 --> 00:02:25,720 Speaker 1: and the key experts say is to remove the food source. 47 00:02:25,840 --> 00:02:29,400 Speaker 1: Despite this attack, they say coyote attacks are still very rare. 48 00:02:29,480 --> 00:02:31,840 Speaker 1: There have been only seven coyote attacks this year in 49 00:02:31,880 --> 00:02:35,760 Speaker 1: Greater Los Angeles, so the probability experts say is very low. 50 00:02:35,800 --> 00:02:39,120 Speaker 1: But anyone concerned, here's what you can do. We recommend 51 00:02:39,240 --> 00:02:43,040 Speaker 1: that if approached by a coyote, you stand tall, shout aggressively, 52 00:02:43,120 --> 00:02:46,600 Speaker 1: clap your hands. If I had a child walking to 53 00:02:46,639 --> 00:02:49,840 Speaker 1: and from school, I might attach a whistle to the 54 00:02:49,960 --> 00:02:53,640 Speaker 1: zipper of their backpack. That's going to be probably helpful 55 00:02:53,680 --> 00:02:56,200 Speaker 1: to scare off a kyote. Now, in addition to wildlife 56 00:02:56,200 --> 00:02:58,560 Speaker 1: personnel being in the neighborhood with dark guns, should there 57 00:02:58,600 --> 00:03:00,760 Speaker 1: be a sighting, there is some friends work going on 58 00:03:00,800 --> 00:03:03,760 Speaker 1: with the victim's clothing. They're at a lab in Northern California. 59 00:03:03,800 --> 00:03:07,880 Speaker 1: Fish and Wildlife trying to isolate DNA from microscopic traces 60 00:03:07,919 --> 00:03:11,119 Speaker 1: of saliva from that coyote to get a DNA profile 61 00:03:11,240 --> 00:03:13,880 Speaker 1: so they can figure out the exact defending animal when 62 00:03:13,880 --> 00:03:17,000 Speaker 1: if they catch it, they'll ultimately know that they have 63 00:03:17,080 --> 00:03:19,200 Speaker 1: the right animals. So again, back here on Martha Street 64 00:03:19,240 --> 00:03:22,080 Speaker 1: this afternoon, where this happened. It happened here in this driveway. 65 00:03:23,000 --> 00:03:27,440 Speaker 1: Isolated incidents. This is not isolated and Fish and Wildlife say, 66 00:03:27,840 --> 00:03:31,000 Speaker 1: and again lew and Glenn, they tell us that we 67 00:03:31,040 --> 00:03:33,600 Speaker 1: can all do a better job at preventing things like 68 00:03:33,639 --> 00:03:36,120 Speaker 1: this from happening. And the key, they say, is again 69 00:03:36,440 --> 00:03:41,360 Speaker 1: isolating and removing the food source. That's from KTLA and 70 00:03:41,400 --> 00:03:46,200 Speaker 1: Sarah Welsh, the reporter there. Coyotes live in packs. They 71 00:03:46,280 --> 00:03:51,000 Speaker 1: mate for life. Isn't that sweet? They mate for life? 72 00:03:51,080 --> 00:03:54,440 Speaker 1: It depends maybe the last thing John says positive about 73 00:03:54,440 --> 00:03:58,600 Speaker 1: the coyotes, and they do help produce the rodent population. 74 00:04:00,120 --> 00:04:03,000 Speaker 1: What makes them run out and jump a toddler? They 75 00:04:03,040 --> 00:04:06,560 Speaker 1: eat up the uh, they eat up the rats and 76 00:04:06,600 --> 00:04:10,760 Speaker 1: stuff like that. They're also not strictly nocturnal. Many just 77 00:04:10,800 --> 00:04:12,360 Speaker 1: believe that they are there or not. The one I 78 00:04:12,400 --> 00:04:14,160 Speaker 1: saw was It was early in the morning, but it 79 00:04:14,200 --> 00:04:16,720 Speaker 1: was some daylight out there. I see them all hours 80 00:04:16,720 --> 00:04:20,359 Speaker 1: of the day. Yeah. In fact, I saw them walking 81 00:04:20,360 --> 00:04:23,200 Speaker 1: from a parking garage to the super Bowl. I was 82 00:04:23,240 --> 00:04:25,320 Speaker 1: on the west side. I had to walk over to sofar. 83 00:04:25,640 --> 00:04:27,880 Speaker 1: There was a coyote and they're standing there by a fence. 84 00:04:27,960 --> 00:04:31,000 Speaker 1: The way they skulk, they look like gangsters to me, 85 00:04:31,640 --> 00:04:34,960 Speaker 1: like gang members. There's just a certain something in their walk. 86 00:04:35,839 --> 00:04:39,120 Speaker 1: They look like they're they're bad news. Right, They're up. 87 00:04:39,360 --> 00:04:42,599 Speaker 1: They're up to no good. Um. Sacramento b had a 88 00:04:42,640 --> 00:04:45,839 Speaker 1: similar list of things to do, this as how to 89 00:04:45,960 --> 00:04:48,360 Speaker 1: what happens if you encounter a coyote in the wild. 90 00:04:48,560 --> 00:04:51,720 Speaker 1: All right, this is this is pretty good stuff. If 91 00:04:51,720 --> 00:04:57,200 Speaker 1: the coyote starts approaching, you make yourself big. That's what 92 00:04:57,240 --> 00:04:59,320 Speaker 1: they say to do with bears. Are you gonna do 93 00:04:59,400 --> 00:05:02,000 Speaker 1: that one, hu, I'll do the other things that are 94 00:05:02,000 --> 00:05:05,480 Speaker 1: on that shot. And I'm big. I do shout at them, 95 00:05:05,480 --> 00:05:07,400 Speaker 1: and I do clap my hands, and I do have 96 00:05:07,440 --> 00:05:09,480 Speaker 1: a whistle, and I do have a taser that makes 97 00:05:09,800 --> 00:05:12,080 Speaker 1: a loud noise. And put out your arms and flap 98 00:05:12,160 --> 00:05:18,440 Speaker 1: them like wings. And I can do that be very 99 00:05:18,480 --> 00:05:22,440 Speaker 1: firm and say things like, hey, coyote, go away, coyote. 100 00:05:22,640 --> 00:05:26,200 Speaker 1: I do that. They understand English, Yes they do. I 101 00:05:26,240 --> 00:05:29,280 Speaker 1: don't speak kyote. They know they're coyotes. I yell at them, 102 00:05:29,520 --> 00:05:31,720 Speaker 1: and I have said that, go away, coyote, and I 103 00:05:31,839 --> 00:05:35,640 Speaker 1: say it in a really firm voice. See she knows 104 00:05:35,680 --> 00:05:37,919 Speaker 1: all the tips I do. And what does the coyote do? 105 00:05:38,320 --> 00:05:42,560 Speaker 1: They turn around and smirk and they walk away, And 106 00:05:42,600 --> 00:05:45,000 Speaker 1: that's all I care about. Maybe not fast, but they 107 00:05:45,000 --> 00:05:47,520 Speaker 1: still turn around. It's like, you gotta be kidney lady. 108 00:05:48,760 --> 00:05:54,719 Speaker 1: What coyote tastes like chicken? They look kind of lean. Yeah, 109 00:05:54,839 --> 00:05:57,599 Speaker 1: it's particularly good. Yeah, they're probably very the best animals. 110 00:05:57,640 --> 00:05:59,719 Speaker 1: Do you do? See the fatter ones like the beef 111 00:06:00,240 --> 00:06:03,119 Speaker 1: the cattle, right, and chickens can be plump, right, because 112 00:06:03,120 --> 00:06:07,000 Speaker 1: that's what gives the taste, is the fat. The fattier 113 00:06:07,080 --> 00:06:11,200 Speaker 1: the meats, the more juicy it is. Well, here's the thing, 114 00:06:11,240 --> 00:06:13,440 Speaker 1: Deborah Mark, and the one we're looking for. The coyote 115 00:06:13,440 --> 00:06:15,919 Speaker 1: of interests that attacked the little girl in Woodland Hills 116 00:06:16,400 --> 00:06:20,680 Speaker 1: is considered a problem coyote. They cannot be captured and 117 00:06:20,720 --> 00:06:24,280 Speaker 1: relocated because they will continue to exhibit the aggressive and 118 00:06:24,440 --> 00:06:28,239 Speaker 1: dangerous behavior. By moving the coyote, you're simply moving the problem, 119 00:06:28,880 --> 00:06:31,080 Speaker 1: meaning that even if we take this one into the wild, 120 00:06:31,120 --> 00:06:33,200 Speaker 1: he might find his way back because that's what he 121 00:06:33,240 --> 00:06:35,800 Speaker 1: wants to do where humans and animals are, because that's 122 00:06:35,800 --> 00:06:38,159 Speaker 1: what he wants to attack and feed on. And he'll 123 00:06:38,240 --> 00:06:41,480 Speaker 1: still go after people and an animal. The animals well, 124 00:06:41,520 --> 00:06:44,040 Speaker 1: you know, I you know, I hate that rationale. They 125 00:06:44,120 --> 00:06:46,360 Speaker 1: say that about the homeless too. Well, you're just moving 126 00:06:46,440 --> 00:06:48,440 Speaker 1: them around. It's like, yeah, we're moving them around. If 127 00:06:48,480 --> 00:06:50,919 Speaker 1: they're not here but over there. That's good for me. 128 00:06:51,240 --> 00:06:55,360 Speaker 1: That's what I want. Someone else's neighborhood, someone else's problem. 129 00:06:55,480 --> 00:06:58,000 Speaker 1: Oh so you're not in favor of putting down the 130 00:06:58,040 --> 00:07:00,440 Speaker 1: problem coyote. Oh no, I don't mind if they put 131 00:07:00,520 --> 00:07:04,160 Speaker 1: them down. But what I'm saying is that excuse, Well, 132 00:07:04,160 --> 00:07:05,839 Speaker 1: you're just moving them around. It's like, yeah, I know, 133 00:07:05,960 --> 00:07:10,120 Speaker 1: so I like these other tips. Coyotes have no legal 134 00:07:10,160 --> 00:07:13,679 Speaker 1: protections in the state of California. They're viewed as non 135 00:07:13,880 --> 00:07:16,920 Speaker 1: game animals, similar to pigeons or rodents, so you could 136 00:07:16,960 --> 00:07:19,600 Speaker 1: shoot one. They can be hunted year round without a 137 00:07:19,600 --> 00:07:22,720 Speaker 1: bag limit as long as you have a California hunting 138 00:07:22,800 --> 00:07:24,760 Speaker 1: license right. You have the right to kill one on 139 00:07:24,800 --> 00:07:29,600 Speaker 1: your own property public lands. However, in a residential area, 140 00:07:29,680 --> 00:07:32,400 Speaker 1: it's not it's frowned on because you might shoot somebody 141 00:07:32,400 --> 00:07:37,040 Speaker 1: by mistakes. Yeah, but better than coyote than you. Yeah. 142 00:07:37,520 --> 00:07:40,440 Speaker 1: Methods for hunting coyotes is limited to California law, which 143 00:07:40,480 --> 00:07:43,160 Speaker 1: prohibits the use of leg hoole traps. Yeah. Those are 144 00:07:43,160 --> 00:07:47,240 Speaker 1: particularly evil, aren't they. Yes. Chemical toxicants used to poison 145 00:07:47,280 --> 00:07:55,040 Speaker 1: coyotes also extremely restricted their animals. Yeah, oh, dogs do cats? Yeah, 146 00:07:55,080 --> 00:07:58,240 Speaker 1: and then they bleed out, Yes, exactly. Some states offer 147 00:07:58,320 --> 00:08:01,880 Speaker 1: bounty programs for killing coyote. You offer us fifty dollars 148 00:08:01,920 --> 00:08:05,640 Speaker 1: per documented kill. California doesn't have that though. That sounds 149 00:08:05,640 --> 00:08:07,920 Speaker 1: like your kind of state, huh, where they're paying people 150 00:08:07,920 --> 00:08:11,280 Speaker 1: to kill coyotes. Sure, I'm gonna move there right away. 151 00:08:11,520 --> 00:08:15,640 Speaker 1: Fifty dollars per bag coyote. Other tips include keep your 152 00:08:15,680 --> 00:08:18,520 Speaker 1: trash covered and sealed. Keep your landscaping neat and clean. 153 00:08:18,720 --> 00:08:21,760 Speaker 1: I'm sure what that is. Pick up fallen fruit, clean 154 00:08:21,840 --> 00:08:24,320 Speaker 1: up scattered bird seed as it attracts rodents, which are 155 00:08:24,320 --> 00:08:27,120 Speaker 1: going to attract coyotes. Keep your cats and dogs indoors 156 00:08:27,120 --> 00:08:28,960 Speaker 1: at night, which John found out when it ended up 157 00:08:28,960 --> 00:08:32,080 Speaker 1: in the hills. Oh yeah, and you hear the crunching sound. 158 00:08:32,120 --> 00:08:36,520 Speaker 1: Every week there was a cattera dog getting consumed. I know, 159 00:08:36,640 --> 00:08:40,040 Speaker 1: and I can honestly, especially where I live. I don't 160 00:08:40,080 --> 00:08:42,720 Speaker 1: understand why people allow their animals to be out and 161 00:08:42,800 --> 00:08:45,679 Speaker 1: they roam in packs and they create a frenzy. I know. 162 00:08:45,880 --> 00:08:48,760 Speaker 1: I can't stand that noise. You know, it's the most 163 00:08:48,800 --> 00:08:51,880 Speaker 1: horrific sound. It is, and then it suddenly stops, and 164 00:08:51,920 --> 00:08:54,959 Speaker 1: then you know what's happening. We used to have like 165 00:08:55,040 --> 00:08:57,800 Speaker 1: coyote packs eating dogs, and then we used to have 166 00:08:58,120 --> 00:09:01,760 Speaker 1: raccoons have orgies in our backyard. Oh I saw, I 167 00:09:01,840 --> 00:09:06,840 Speaker 1: saw raccoon orgies. There was one girl raccoon up against 168 00:09:06,840 --> 00:09:09,720 Speaker 1: a tree and they were like a peeping tom watched them. 169 00:09:10,320 --> 00:09:12,440 Speaker 1: I'm standing on the porch. It's like, oh, look at that. 170 00:09:13,000 --> 00:09:15,600 Speaker 1: And got got my neighbor really upset and she started 171 00:09:15,640 --> 00:09:17,760 Speaker 1: screaming at them. She got on her porch across the 172 00:09:17,800 --> 00:09:21,200 Speaker 1: fence and she was so upset with those She was jealous. 173 00:09:24,000 --> 00:09:29,120 Speaker 1: What the raccoons have their fun? I occasionally see the squirrels. 174 00:09:29,240 --> 00:09:31,199 Speaker 1: It looks like sex play to me. They're chasing each 175 00:09:31,200 --> 00:09:33,400 Speaker 1: other in sort of a romantic way. Ever see that 176 00:09:34,080 --> 00:09:37,640 Speaker 1: U up and down the wires for some sure, sure, yeah, 177 00:09:37,800 --> 00:09:40,600 Speaker 1: doing a little mating dance with each other. Um, she 178 00:09:40,720 --> 00:09:44,720 Speaker 1: was she's a famous actress, I mean a long time ago. Yeah, 179 00:09:44,760 --> 00:09:48,240 Speaker 1: I'll tell you later. But she was enraged over the raccoons. 180 00:09:48,679 --> 00:09:51,600 Speaker 1: Oh it's the one I know about. Yes, yes, something 181 00:09:51,720 --> 00:09:53,960 Speaker 1: else I know who this is? Yeah, all right, we're 182 00:09:54,000 --> 00:09:56,319 Speaker 1: coming up. John and Ken caf I am six forty 183 00:09:56,520 --> 00:09:59,760 Speaker 1: Live everywhere the iHeartRadio app Eric Eric tell Kennon debor 184 00:10:00,000 --> 00:10:03,080 Speaker 1: out what your dad texted you? Oh? Yeah, so he 185 00:10:03,120 --> 00:10:05,400 Speaker 1: was listening to the last segment and he texted. He 186 00:10:05,440 --> 00:10:08,840 Speaker 1: texted me and said that there was a raccoon orgy 187 00:10:08,880 --> 00:10:10,559 Speaker 1: on the roof of my house about a couple of 188 00:10:10,600 --> 00:10:15,720 Speaker 1: years ago. And how did he know this, Well, where 189 00:10:15,760 --> 00:10:18,079 Speaker 1: it was happening was right above his room, so he 190 00:10:18,120 --> 00:10:20,000 Speaker 1: could hear it. Yeah, and they have a window right 191 00:10:20,040 --> 00:10:24,199 Speaker 1: above their bed, peeping tom like John, Well, he went 192 00:10:24,240 --> 00:10:26,120 Speaker 1: outside to try and scare him off, but he wasn't 193 00:10:26,160 --> 00:10:32,200 Speaker 1: trying to look staring. So that that raccoons don't mate 194 00:10:32,200 --> 00:10:34,320 Speaker 1: one on one, they do orgies. Is that we're hearing 195 00:10:35,120 --> 00:10:38,040 Speaker 1: sounds like it? Yeah? John also witnessed some type of 196 00:10:38,280 --> 00:10:41,480 Speaker 1: collection of raccoons going at it right. Uh yeah, yeah, 197 00:10:41,880 --> 00:10:43,920 Speaker 1: there was a whole group of raccoons and it was 198 00:10:43,960 --> 00:10:52,000 Speaker 1: several men and one girl. And then that because of 199 00:10:52,040 --> 00:10:57,640 Speaker 1: their behavior, the positioning, you watched them take turns, Yeah, exactly, yes, 200 00:10:57,679 --> 00:11:00,800 Speaker 1: we did. Or whether like the two on one or 201 00:11:00,960 --> 00:11:06,880 Speaker 1: three on one going on her. Oh, because they hadn't 202 00:11:06,880 --> 00:11:09,560 Speaker 1: paired off. It was just a group of guys and 203 00:11:09,600 --> 00:11:11,680 Speaker 1: then you know, one of them would go up and 204 00:11:11,720 --> 00:11:15,040 Speaker 1: then then another one. I will say, where I live 205 00:11:15,080 --> 00:11:17,120 Speaker 1: in the San Fernando Valley, I see a ton of 206 00:11:17,240 --> 00:11:21,559 Speaker 1: raccoons at night. Oh yeah, yeah, I haven't seen them 207 00:11:21,559 --> 00:11:25,000 Speaker 1: having orgies, but I'll see them well then and sunk. 208 00:11:25,400 --> 00:11:27,360 Speaker 1: One day, I saw the after effects of the orgy 209 00:11:27,720 --> 00:11:31,160 Speaker 1: and there was a mommy raccoon with her babies and 210 00:11:31,200 --> 00:11:34,680 Speaker 1: she was hiding in this this ivy on the side 211 00:11:34,720 --> 00:11:36,840 Speaker 1: of the yards. She wanted the guys to stay away. 212 00:11:36,960 --> 00:11:39,400 Speaker 1: She's had enough. And I walked by and I heard 213 00:11:39,440 --> 00:11:43,439 Speaker 1: this and I looked at raccoons. Oh yeah, and she 214 00:11:43,600 --> 00:11:45,079 Speaker 1: was looking at me, you know, with the with the 215 00:11:45,440 --> 00:11:47,800 Speaker 1: you know the black eyes that they have, you know, 216 00:11:47,920 --> 00:11:49,960 Speaker 1: black circles around their eye. And I saw there were 217 00:11:49,960 --> 00:11:51,920 Speaker 1: little babies in there, and it's like, I guess that 218 00:11:52,040 --> 00:11:55,640 Speaker 1: that's was the result of the party they had. I 219 00:11:55,720 --> 00:11:59,400 Speaker 1: avoid raccoons, skunks, and possums. I think they're all ornery 220 00:11:59,600 --> 00:12:02,240 Speaker 1: and well, skunks for obvious reasons. They can stink you 221 00:12:02,280 --> 00:12:06,000 Speaker 1: out for a years. Yeah, it's just so you know, 222 00:12:06,520 --> 00:12:09,120 Speaker 1: my mind works in weird ways. And one day I 223 00:12:09,160 --> 00:12:10,640 Speaker 1: thought of this and it just came to me again 224 00:12:10,679 --> 00:12:15,440 Speaker 1: while we were discussing the raccoon sex. It's a question 225 00:12:15,480 --> 00:12:22,760 Speaker 1: for Google. Do animals engage in oral sex? Just a thought? 226 00:12:22,800 --> 00:12:27,080 Speaker 1: Well not the night I saw the raccoons. No, it's 227 00:12:27,080 --> 00:12:29,560 Speaker 1: all just straight, reproductive kind of sex. Right, Is that 228 00:12:29,640 --> 00:12:34,199 Speaker 1: really because of their genetic drive? Yeah, just a thought. 229 00:12:35,360 --> 00:12:39,199 Speaker 1: I think the answer is no. But with each other, 230 00:12:39,280 --> 00:12:42,440 Speaker 1: I'm saying, I bet you chimps do. Oh, that could 231 00:12:42,440 --> 00:12:44,959 Speaker 1: be true. They do mimic humans, right, I think I've 232 00:12:45,000 --> 00:12:51,920 Speaker 1: heard that chimps do. Okay, well, we'll do the research. 233 00:12:52,080 --> 00:12:53,680 Speaker 1: Maybe it was a movie I saw. I don't know. 234 00:12:55,080 --> 00:12:57,560 Speaker 1: All right, one more animal story and then we're done 235 00:12:57,559 --> 00:12:59,719 Speaker 1: with this. We're gonna update you after five thirty is 236 00:12:59,760 --> 00:13:03,640 Speaker 1: to what we know today on the Idaho college student killings. 237 00:13:03,920 --> 00:13:07,079 Speaker 1: It looks like more and more family members. We had 238 00:13:07,120 --> 00:13:10,320 Speaker 1: the dad of one girl who was killed at that 239 00:13:10,400 --> 00:13:13,280 Speaker 1: off campus house. He's been doing a lot of talking 240 00:13:13,320 --> 00:13:15,360 Speaker 1: to the media, but it looks like a stepfather of 241 00:13:15,400 --> 00:13:21,000 Speaker 1: another victim has stepped up because they are frustrated because 242 00:13:21,000 --> 00:13:24,560 Speaker 1: there's just nothing. And like I said the other day, 243 00:13:24,600 --> 00:13:27,400 Speaker 1: you can either believe that there really is nothing, or 244 00:13:27,400 --> 00:13:29,800 Speaker 1: that the police don't want to reveal the good stuff 245 00:13:29,800 --> 00:13:31,640 Speaker 1: they know because they don't want who they're looking forward 246 00:13:31,679 --> 00:13:34,160 Speaker 1: to know that and get a lead on them. So 247 00:13:34,720 --> 00:13:38,559 Speaker 1: we'll talk about this after the news at five thirty 248 00:13:38,640 --> 00:13:41,480 Speaker 1: and Deborah Mark, this is one bad story. But I 249 00:13:41,559 --> 00:13:44,120 Speaker 1: want to say first of all, to give you the 250 00:13:44,240 --> 00:13:47,560 Speaker 1: sort of warning up front, the dog is fine. Oh good, 251 00:13:47,760 --> 00:13:50,160 Speaker 1: And then I'll follow that with a really happy dog 252 00:13:50,240 --> 00:13:54,760 Speaker 1: story for you. Okay, a video that just entranced me today. 253 00:13:54,800 --> 00:13:57,000 Speaker 1: I watched it three times. I'll tell you that a moment. 254 00:13:57,040 --> 00:14:00,840 Speaker 1: But out in Apple Valley, I think we were up 255 00:14:00,840 --> 00:14:02,480 Speaker 1: there one time, John, we did a show up at 256 00:14:02,720 --> 00:14:07,439 Speaker 1: three Day years ago. Yeah. Apparently a woman by the 257 00:14:07,520 --> 00:14:10,520 Speaker 1: name of Terry Gerard said she was taking her daughter 258 00:14:10,559 --> 00:14:15,280 Speaker 1: to school. This happened on Friday, and a driver was 259 00:14:15,320 --> 00:14:18,040 Speaker 1: apparently trying to signal her to tell her something. And 260 00:14:18,200 --> 00:14:20,800 Speaker 1: she pulled over and listened, and she said, I'm on 261 00:14:20,840 --> 00:14:22,480 Speaker 1: the phone with nine one one. This is the driver 262 00:14:22,520 --> 00:14:24,960 Speaker 1: of the other car. Please watch out. There is somebody 263 00:14:25,160 --> 00:14:28,880 Speaker 1: driving a tahoe that just went by and they're dragging 264 00:14:28,880 --> 00:14:33,360 Speaker 1: a dog behind the vehicle. So she continued driving, and 265 00:14:33,400 --> 00:14:36,480 Speaker 1: she did come across a woman and the tahoe, and 266 00:14:36,560 --> 00:14:39,000 Speaker 1: when she came up upon them, the woman was untying 267 00:14:39,040 --> 00:14:43,520 Speaker 1: the dog. According to Tammy Jared, this lady was out 268 00:14:43,520 --> 00:14:45,480 Speaker 1: of her mind. She was clearly out of her mind. 269 00:14:45,520 --> 00:14:47,400 Speaker 1: I don't know if she was on drugs or mentally ill. 270 00:14:47,720 --> 00:14:50,920 Speaker 1: She kept saying, basically, someone must have tied the dog 271 00:14:51,000 --> 00:14:53,720 Speaker 1: to my bumper. I don't know what it's doing there. 272 00:14:54,120 --> 00:14:56,520 Speaker 1: You want a dog? There you go, you got a dog? 273 00:14:56,640 --> 00:15:00,440 Speaker 1: Take the dog? Well, well, Jared did. She took odos. 274 00:15:00,960 --> 00:15:03,600 Speaker 1: She took the dog in for medical treatment and apparently 275 00:15:03,640 --> 00:15:07,640 Speaker 1: it's recovering. So I guess the dog was running for 276 00:15:07,920 --> 00:15:11,080 Speaker 1: drags depending on the speed of the tap. Yeah, but 277 00:15:11,160 --> 00:15:13,800 Speaker 1: you you'd get your your your skin just burned off 278 00:15:13,840 --> 00:15:16,520 Speaker 1: from that. It might be a dirt road kind of thing, 279 00:15:16,560 --> 00:15:18,480 Speaker 1: because it's Apple Valley, it might have been a little 280 00:15:18,600 --> 00:15:21,040 Speaker 1: less than as right, there weren't a lot of paved roads. 281 00:15:21,520 --> 00:15:23,640 Speaker 1: So do you believe do you believe? Do you believe 282 00:15:23,680 --> 00:15:27,160 Speaker 1: that person that? No? I do not well. I was 283 00:15:27,240 --> 00:15:30,360 Speaker 1: thinking someone tied the dogs to my bum maybe a 284 00:15:30,440 --> 00:15:34,280 Speaker 1: really nasty person did that. But the way she was 285 00:15:34,320 --> 00:15:36,720 Speaker 1: described as like a crazy lady, I get not making 286 00:15:36,800 --> 00:15:40,120 Speaker 1: much sense, but kept kind of blurting out, somebody did this, 287 00:15:40,360 --> 00:15:42,240 Speaker 1: And then how about this? You want a dog here, 288 00:15:42,240 --> 00:15:44,560 Speaker 1: you go take this? And I don't think so. If 289 00:15:44,560 --> 00:15:46,960 Speaker 1: somebody tied a dog to your bumper, Deborah Market, you 290 00:15:46,960 --> 00:15:49,640 Speaker 1: didn't know for a mild flip, would you just foist 291 00:15:49,680 --> 00:15:52,960 Speaker 1: it off on somebody that comes along the probably screaming no, 292 00:15:53,120 --> 00:15:56,760 Speaker 1: I would, I would go to the nearest vet. Yeah, 293 00:15:56,800 --> 00:15:59,640 Speaker 1: you would take it for care, right, And Jared did that. 294 00:15:59,760 --> 00:16:01,240 Speaker 1: She at the dog in a blanket and took it 295 00:16:01,280 --> 00:16:02,880 Speaker 1: to an animal shelter where it's in the care of 296 00:16:02,880 --> 00:16:05,240 Speaker 1: a vet. They're trying to find this lady now and 297 00:16:05,280 --> 00:16:08,920 Speaker 1: they're raising donations to help pay the vet bills for 298 00:16:08,960 --> 00:16:10,920 Speaker 1: this animal. I don't know what breed it is, but 299 00:16:12,320 --> 00:16:15,800 Speaker 1: that's really awful situation. But now, if you want to 300 00:16:15,800 --> 00:16:19,680 Speaker 1: go look this up the video that entertained me so much. 301 00:16:19,720 --> 00:16:21,480 Speaker 1: You know, there's some websites I go on and they 302 00:16:21,520 --> 00:16:23,880 Speaker 1: pop up in the corner of the screen videos do. 303 00:16:24,760 --> 00:16:27,600 Speaker 1: And there's one website where it's always about animals and 304 00:16:27,680 --> 00:16:31,800 Speaker 1: John finds his funny. People that watched cat videos all day. Yeah, 305 00:16:31,840 --> 00:16:34,600 Speaker 1: and there are people that watch cat videostoles. I can 306 00:16:34,680 --> 00:16:38,080 Speaker 1: watch dog videos a lot. But this was from Australia 307 00:16:38,200 --> 00:16:41,400 Speaker 1: and it was a dog. He was full grown. Apparently 308 00:16:41,800 --> 00:16:45,000 Speaker 1: he's a new dad. Ten puppies and they were chasing 309 00:16:45,040 --> 00:16:47,960 Speaker 1: him around the yard. It was hysterical. All ten dogs 310 00:16:48,240 --> 00:16:52,160 Speaker 1: kept chasing the big mail dog the father around the yard. 311 00:16:52,200 --> 00:16:54,440 Speaker 1: That the father kept playing with them. He kept stopping 312 00:16:54,640 --> 00:16:56,760 Speaker 1: and then running again, and they all chased them. Their 313 00:16:56,760 --> 00:17:00,120 Speaker 1: little heads would go one way and go the other way, 314 00:17:00,120 --> 00:17:04,920 Speaker 1: puppies at once. That's uh, he's got some responsibilities there, 315 00:17:04,960 --> 00:17:11,840 Speaker 1: doesn't he. John, Yeah, intuitions, Yeah right, it's a Pyrenees. 316 00:17:11,960 --> 00:17:14,600 Speaker 1: The dog was a Pyrenees. If you're familiar with that breed, 317 00:17:14,680 --> 00:17:16,719 Speaker 1: and if you want to look it up. It was 318 00:17:16,840 --> 00:17:18,840 Speaker 1: incredibly because it went on for like three minutes that 319 00:17:18,920 --> 00:17:21,879 Speaker 1: they just kept running around the yard. The little puppies 320 00:17:21,920 --> 00:17:24,000 Speaker 1: chasing the father dog can. I didn't know that you 321 00:17:24,040 --> 00:17:26,080 Speaker 1: like dog videos. I can send you some of mine, 322 00:17:26,680 --> 00:17:29,359 Speaker 1: my dog. You don't have to send me any Oh no, 323 00:17:29,520 --> 00:17:34,080 Speaker 1: your dogs the only You sent me one picture once 324 00:17:34,119 --> 00:17:36,119 Speaker 1: and I told you it was obscene. The dog its 325 00:17:36,200 --> 00:17:38,840 Speaker 1: legs spread. It was like, well, I don't need to 326 00:17:38,840 --> 00:17:41,640 Speaker 1: see their genitial yet sending dirty pictures of your dog. 327 00:17:41,960 --> 00:17:44,600 Speaker 1: She did. He was getting ready for a dog orgy. 328 00:17:47,080 --> 00:17:52,760 Speaker 1: She sent me like dog porn. You see, everybody's got 329 00:17:52,760 --> 00:17:56,320 Speaker 1: their thing. I really felt, hey, like we're open minded. 330 00:17:56,359 --> 00:18:01,200 Speaker 1: You know, he's exaggerating, but it was true. The dog 331 00:18:01,320 --> 00:18:03,439 Speaker 1: was splayed out with their legs. But it was a 332 00:18:03,440 --> 00:18:06,520 Speaker 1: cute picture. It wasn't for the genitalia. That wasn't the 333 00:18:06,880 --> 00:18:08,879 Speaker 1: thing that was like most prominent. It was like the 334 00:18:08,920 --> 00:18:11,879 Speaker 1: first thing I first thing I said, was oh, the 335 00:18:11,880 --> 00:18:13,800 Speaker 1: only thing he saw. I'll make it up to you, Ken, 336 00:18:13,800 --> 00:18:18,119 Speaker 1: I'll send something better. You don't have twos. All right, 337 00:18:18,160 --> 00:18:20,760 Speaker 1: more coming up, Johnny ken KF I am six forty 338 00:18:20,760 --> 00:18:24,320 Speaker 1: live everywhere in the iHeartRadio Apple. This week, it's safe 339 00:18:24,320 --> 00:18:27,679 Speaker 1: Way enjoy big savings with the Bogo Sail, where select 340 00:18:27,720 --> 00:18:30,560 Speaker 1: items throughout the store are buy one, get one free 341 00:18:30,680 --> 00:18:33,600 Speaker 1: with this week's Bogo sail gets select meats like Signature 342 00:18:33,600 --> 00:18:36,840 Speaker 1: Farms ninety percent lean ground beef or boneless skinless chicken 343 00:18:36,840 --> 00:18:40,480 Speaker 1: breasts or thighs. Buy one, get one free, plus select 344 00:18:40,520 --> 00:18:43,760 Speaker 1: fresh produce items like one pound containers of sweet strawberries 345 00:18:43,840 --> 00:18:46,800 Speaker 1: or containers of blueberries. Or buy one, get one free. 346 00:18:47,000 --> 00:18:49,800 Speaker 1: Safe way coming and explore and see what other deals 347 00:18:49,840 --> 00:18:54,360 Speaker 1: you can find. Yeah, she already assaulted me with more 348 00:18:54,440 --> 00:18:59,440 Speaker 1: dog pictures, I know. But they have their legs closed 349 00:19:00,040 --> 00:19:02,719 Speaker 1: the wind. They do. They're they're posing facing the cameras. Yes, 350 00:19:02,960 --> 00:19:04,840 Speaker 1: now you have a good look. It's a little more 351 00:19:05,200 --> 00:19:07,639 Speaker 1: ladylike and product. Like so many people that are in 352 00:19:07,680 --> 00:19:09,960 Speaker 1: my neighbor they all have a little like little white dogs. 353 00:19:09,960 --> 00:19:12,239 Speaker 1: So everybody likes why is that? It's like these are 354 00:19:12,280 --> 00:19:14,880 Speaker 1: not really that little. These two are not that little. 355 00:19:14,920 --> 00:19:17,080 Speaker 1: They look a little in this picture, they're not They're 356 00:19:17,080 --> 00:19:19,720 Speaker 1: not the teeny tiny Oh I don't mean them a 357 00:19:19,720 --> 00:19:22,000 Speaker 1: little chihuahua types. But it's always like a little white 358 00:19:22,000 --> 00:19:24,240 Speaker 1: furry dog. Other people like a little white fourry dog. 359 00:19:24,280 --> 00:19:26,320 Speaker 1: I should tell them about what happened to that little 360 00:19:26,320 --> 00:19:29,040 Speaker 1: white dog at the mall the other night. What I 361 00:19:29,080 --> 00:19:33,560 Speaker 1: was telling you before. So, my wife and I are 362 00:19:33,600 --> 00:19:37,199 Speaker 1: at the Fashion Square Mall in Sherman Oaks Saturday, and uh, 363 00:19:37,640 --> 00:19:40,720 Speaker 1: walking in front of us was a couple with a 364 00:19:40,800 --> 00:19:44,400 Speaker 1: smallish white dog, and the dog is walking along with them, 365 00:19:44,480 --> 00:19:48,359 Speaker 1: and then suddenly just stops dead like they dropped anchor 366 00:19:48,960 --> 00:19:52,639 Speaker 1: and just squatted down. And the guy keeps dragging the 367 00:19:52,680 --> 00:19:55,600 Speaker 1: dog on the floor like like it's a mop, and 368 00:19:55,640 --> 00:19:59,840 Speaker 1: then the dog hops up again and then suddenly boom down, 369 00:20:00,520 --> 00:20:04,680 Speaker 1: wouldn't move, and he's really pulling hard, and the dog 370 00:20:04,760 --> 00:20:09,159 Speaker 1: starts squirting out poop. It serves him right, and the 371 00:20:09,160 --> 00:20:11,840 Speaker 1: poop gets trapped under the dog, and so the dog 372 00:20:11,960 --> 00:20:15,040 Speaker 1: is now smearing the poop with its fur all across 373 00:20:15,080 --> 00:20:18,000 Speaker 1: the floor at the Fashioned Square Mall. And then flying 374 00:20:18,119 --> 00:20:20,520 Speaker 1: chunks were flying out left and right. This guy still 375 00:20:20,560 --> 00:20:23,000 Speaker 1: didn't notice it, as you like to say, nice dinner 376 00:20:23,040 --> 00:20:26,480 Speaker 1: time story. I feared to the left so I wouldn't 377 00:20:26,560 --> 00:20:29,399 Speaker 1: step in at all, and I saw the guy. He 378 00:20:29,520 --> 00:20:32,000 Speaker 1: finally turned around and he looked at what happened, and 379 00:20:32,080 --> 00:20:34,440 Speaker 1: I just wish I could describe the look on his face. 380 00:20:35,080 --> 00:20:38,240 Speaker 1: It was like one of the greatest oh bleak looks. Well, 381 00:20:38,240 --> 00:20:40,199 Speaker 1: if he would have listened to his dog, who was 382 00:20:40,240 --> 00:20:44,359 Speaker 1: clearly telling him that he or she had the poop. No, 383 00:20:44,560 --> 00:20:46,680 Speaker 1: he completely ignored. But I know it's just all this 384 00:20:46,920 --> 00:20:50,359 Speaker 1: disgusting poop smeared all over the dog, all over the floor. No, 385 00:20:51,080 --> 00:20:53,720 Speaker 1: this isn't a mall. So yeah, the fashioned square mall, 386 00:20:54,119 --> 00:21:00,240 Speaker 1: no indoor mall. Yeah, lots of people the joy just 387 00:21:00,560 --> 00:21:03,919 Speaker 1: send it runoff election. They're almost at sixty percent of 388 00:21:03,960 --> 00:21:08,000 Speaker 1: the expected votes in. Raphael Warnock has the lead over 389 00:21:08,080 --> 00:21:13,399 Speaker 1: herschel Walker by about three hundred thousand votes. I'm sorry, 390 00:21:13,600 --> 00:21:18,080 Speaker 1: thirty thousand votes something like that, give or take maybe 391 00:21:18,080 --> 00:21:21,679 Speaker 1: twenty eight thousand. They do believe there's still, though, almost 392 00:21:21,680 --> 00:21:24,080 Speaker 1: a million and a half votes remaining. As I said, 393 00:21:24,119 --> 00:21:27,040 Speaker 1: fifty eight percent of the expected vote in. They think 394 00:21:27,080 --> 00:21:29,440 Speaker 1: that two million people voted early and at least one 395 00:21:29,520 --> 00:21:34,320 Speaker 1: point three million people voted today in that runoff, and 396 00:21:34,440 --> 00:21:36,680 Speaker 1: I would expect John by probably the end of the night, 397 00:21:36,920 --> 00:21:40,040 Speaker 1: they'll have a winner. This isn't California where they're sitting 398 00:21:40,080 --> 00:21:43,920 Speaker 1: there with mail in votes for weeks. Yes, every other 399 00:21:43,960 --> 00:21:46,240 Speaker 1: state in the Union can count their votes pretty much 400 00:21:46,280 --> 00:21:48,840 Speaker 1: the same night or at least by the next morning. 401 00:21:50,080 --> 00:21:52,280 Speaker 1: Nice and they all used and they had plenty of 402 00:21:52,280 --> 00:21:57,119 Speaker 1: mail in ballots too in Georgia. So there's just no 403 00:21:57,200 --> 00:21:59,479 Speaker 1: excuse for this. This is just our We just had 404 00:21:59,600 --> 00:22:02,960 Speaker 1: competent boots here. That's the beginning the end of that story. 405 00:22:04,200 --> 00:22:08,520 Speaker 1: The update on the Idaho students, the college students at 406 00:22:08,560 --> 00:22:11,960 Speaker 1: the University of Idaho who are stabbed to death in 407 00:22:12,000 --> 00:22:15,359 Speaker 1: their beds and on an off campus house. There isn't 408 00:22:15,480 --> 00:22:19,720 Speaker 1: much today, but it is believed by a couple of 409 00:22:19,760 --> 00:22:25,040 Speaker 1: experts that whoever did this, one person or more left 410 00:22:25,320 --> 00:22:29,239 Speaker 1: DNA behind. But the complications going to be that it 411 00:22:29,359 --> 00:22:34,240 Speaker 1: was a college party house. They do believe that some 412 00:22:34,320 --> 00:22:38,080 Speaker 1: of the victims did fight back. One expert says, you 413 00:22:38,119 --> 00:22:41,119 Speaker 1: have all this blood, there might be hair fibers, but 414 00:22:41,200 --> 00:22:43,920 Speaker 1: you're dealing with a college house where lots of people 415 00:22:43,960 --> 00:22:46,640 Speaker 1: are coming and going, and so you're gonna have lots 416 00:22:46,640 --> 00:22:50,400 Speaker 1: of mixtures in there with DNA. Yeah, yeah, And it's 417 00:22:50,440 --> 00:22:53,960 Speaker 1: like trying to get a DNA sample, a clear DNA 418 00:22:54,040 --> 00:22:58,720 Speaker 1: sample from a cheap motel. There's a lot of activity 419 00:22:58,760 --> 00:23:00,840 Speaker 1: going on, especially if they don't wash the sheets enough, 420 00:23:01,040 --> 00:23:04,760 Speaker 1: that's right, and the floors. So they do believe that 421 00:23:05,320 --> 00:23:08,720 Speaker 1: probably some of the victims fought back. They had defensive 422 00:23:08,720 --> 00:23:11,840 Speaker 1: wounds on them, so there could be some DNA under 423 00:23:11,840 --> 00:23:15,760 Speaker 1: the fingernails that could be captured. And again, you know, 424 00:23:15,800 --> 00:23:18,040 Speaker 1: you run the DNA, you're hoping somebody it's somebody in 425 00:23:18,080 --> 00:23:20,600 Speaker 1: the criminal database. If it's not, they wonder did this 426 00:23:20,640 --> 00:23:22,560 Speaker 1: person live alone or did they get in a car 427 00:23:22,600 --> 00:23:26,600 Speaker 1: and bolt out of Idaho immediately? Because if if they ran, 428 00:23:26,760 --> 00:23:30,800 Speaker 1: if they came across anybody as they came back home, 429 00:23:31,240 --> 00:23:33,960 Speaker 1: you'd see that they would have blood on them. Right, Yes, 430 00:23:34,080 --> 00:23:35,880 Speaker 1: the killer must have had a lot of blood all 431 00:23:35,920 --> 00:23:38,880 Speaker 1: over him and cuts on him. So either he got 432 00:23:38,880 --> 00:23:41,000 Speaker 1: in the car and just kept going and he might 433 00:23:41,040 --> 00:23:44,240 Speaker 1: be in uh you know that in the Arctic circle 434 00:23:44,840 --> 00:23:48,280 Speaker 1: right now, Because this was three am, it wouldn't be 435 00:23:48,320 --> 00:23:51,040 Speaker 1: a lot of people who might even notice. I mean again, 436 00:23:51,080 --> 00:23:54,800 Speaker 1: those two roommates slept through this, So how loud was this? 437 00:23:55,000 --> 00:23:57,760 Speaker 1: How much of a fight did go on? That's still 438 00:23:58,000 --> 00:24:00,240 Speaker 1: with the car. I realized they were on a different lore, 439 00:24:00,320 --> 00:24:03,600 Speaker 1: but still the car would have bloody evidence inside it. 440 00:24:04,720 --> 00:24:08,600 Speaker 1: There were forty six FBI agents on this case, thirteen 441 00:24:08,640 --> 00:24:12,960 Speaker 1: Idaho State Police investigators along with the Moscow Police Department team, 442 00:24:13,880 --> 00:24:17,800 Speaker 1: and yet the families are starting to get a little antsie. 443 00:24:18,160 --> 00:24:22,760 Speaker 1: They're not getting much from investigators. We are and November 444 00:24:22,800 --> 00:24:25,280 Speaker 1: thirteenth is the date stick that in your head that's 445 00:24:25,320 --> 00:24:28,320 Speaker 1: when these three were these four were found already that long. 446 00:24:28,440 --> 00:24:30,720 Speaker 1: Huh yep. So it's three weeks in a couple of 447 00:24:30,840 --> 00:24:36,119 Speaker 1: days and nothing, nothing that they're they're sharing with this. 448 00:24:36,280 --> 00:24:37,800 Speaker 1: But I've come to be one of those people that 449 00:24:37,880 --> 00:24:42,000 Speaker 1: believes there isn't much to share one hundred and thirteen 450 00:24:42,040 --> 00:24:45,880 Speaker 1: pieces of physical evidence collected. If they released what they had, 451 00:24:45,960 --> 00:24:50,320 Speaker 1: if what they have doesn't pinpoint the suspect, then you 452 00:24:50,440 --> 00:24:55,400 Speaker 1: release it publicly, because then that'll lead to the suspect. Right. 453 00:24:55,440 --> 00:24:58,000 Speaker 1: People will be able to add on to the evidence. Right. 454 00:25:00,119 --> 00:25:04,240 Speaker 1: Two of the students killed were a male and a 455 00:25:04,359 --> 00:25:07,719 Speaker 1: female I think it's pronounced za Zanna Carnottle and her 456 00:25:07,720 --> 00:25:12,400 Speaker 1: boyfriend Ethan Chapin. They're trying to find out where they 457 00:25:12,440 --> 00:25:15,720 Speaker 1: were for several hours the night that they were killed. 458 00:25:15,720 --> 00:25:20,600 Speaker 1: There's a five hour gap in the timeline. The two girls, 459 00:25:21,760 --> 00:25:25,040 Speaker 1: and that would be Kaylee gun Calvis and Madison Mogan. 460 00:25:25,880 --> 00:25:28,200 Speaker 1: They went to a local bar, stopped at a food truck, 461 00:25:28,240 --> 00:25:30,359 Speaker 1: got her to ride home with a private party and 462 00:25:30,359 --> 00:25:34,120 Speaker 1: they arrived home like two am. But the other two, 463 00:25:34,680 --> 00:25:38,159 Speaker 1: they were seen at a fraternity house, returned to the 464 00:25:38,200 --> 00:25:40,560 Speaker 1: home a short walk away about one forty five am. 465 00:25:40,600 --> 00:25:42,440 Speaker 1: But they don't know where they were before that, between 466 00:25:42,560 --> 00:25:46,960 Speaker 1: nine pm and one forty five am, November twelfth, November thirteenth, 467 00:25:47,480 --> 00:25:50,080 Speaker 1: and they're trying to find any more information they can get. 468 00:25:50,160 --> 00:25:52,280 Speaker 1: They had anybody they can help them. Maybe they had 469 00:25:52,280 --> 00:25:55,199 Speaker 1: their own private date for a few hours. They might have, 470 00:25:55,880 --> 00:25:59,159 Speaker 1: but it could be they encountered someone who could have 471 00:25:59,200 --> 00:26:03,240 Speaker 1: been the killer who continued to follow them. Because these 472 00:26:03,280 --> 00:26:07,280 Speaker 1: four were killed. Probably they were arriving home five am. 473 00:26:07,320 --> 00:26:09,119 Speaker 1: They think they were killed between three and four am. 474 00:26:09,680 --> 00:26:11,640 Speaker 1: It was only an hour or so after they got home. 475 00:26:12,040 --> 00:26:14,879 Speaker 1: Clearly though they went to bed. Apparently they were all 476 00:26:14,880 --> 00:26:19,000 Speaker 1: attacked in bed. But whoever did this wasn't there that 477 00:26:19,119 --> 00:26:23,119 Speaker 1: long after their evenings ended. Yeah, So unless it was 478 00:26:23,520 --> 00:26:28,760 Speaker 1: someone with an obsession who had this premeditated, that's the thinking. 479 00:26:28,760 --> 00:26:32,040 Speaker 1: It's hard to believe that'd be somebody they encountered that night. Yeah, 480 00:26:32,040 --> 00:26:35,720 Speaker 1: who decided I'm going to follow this one home doesn't 481 00:26:35,760 --> 00:26:38,840 Speaker 1: have to be the right path. It could be somebody 482 00:26:38,920 --> 00:26:42,360 Speaker 1: that knew or became obsessed with one of the girls, right, 483 00:26:42,480 --> 00:26:46,720 Speaker 1: and they were just planning this And three in the 484 00:26:46,760 --> 00:26:51,080 Speaker 1: morning on a Saturday is the best time because everybody 485 00:26:51,080 --> 00:26:54,919 Speaker 1: will be drunk, it'll be dark, everyone's passed out, sleep 486 00:26:55,160 --> 00:26:58,640 Speaker 1: and then you can do your business. But why it's 487 00:26:58,720 --> 00:27:03,520 Speaker 1: still strange. Why Probably an obsession, Probably a rejection. Maybe 488 00:27:04,400 --> 00:27:07,160 Speaker 1: they would think, I mean the in cell theories popular. 489 00:27:07,440 --> 00:27:09,320 Speaker 1: I mean, that's what that's what guys do. I mean, 490 00:27:09,359 --> 00:27:12,520 Speaker 1: like this this Adia we talked about before, the cop 491 00:27:12,560 --> 00:27:14,840 Speaker 1: that came from Virginia all the way to Riverside after 492 00:27:14,880 --> 00:27:17,760 Speaker 1: meeting the teenage girl, right, you know, I mean, I mean, 493 00:27:17,800 --> 00:27:21,960 Speaker 1: guys kill when they get rejected and are humiliated. That's 494 00:27:22,000 --> 00:27:26,280 Speaker 1: the most likely point that they're going to kill. All Right, 495 00:27:26,280 --> 00:27:28,320 Speaker 1: we got more coming up, John and Ken kf I 496 00:27:28,440 --> 00:27:32,120 Speaker 1: am six forty live everywhere the iHeartRadio app. Well, we're 497 00:27:32,119 --> 00:27:34,679 Speaker 1: gonna update you now. On Ukraine Russia. There's been a 498 00:27:34,680 --> 00:27:38,040 Speaker 1: couple of developments as well. Depending on how you look 499 00:27:38,080 --> 00:27:41,280 Speaker 1: at it, things escalate. What the Russians are trying to 500 00:27:41,359 --> 00:27:45,719 Speaker 1: do is hit the power supply in Ukraine. They've been 501 00:27:45,720 --> 00:27:49,040 Speaker 1: at this for some time now, but now a major 502 00:27:49,119 --> 00:27:53,440 Speaker 1: Russian bank has been hit with an unprecedented cyber attack, 503 00:27:54,080 --> 00:27:57,439 Speaker 1: and the other big development, which, depending on how you 504 00:27:57,480 --> 00:28:01,560 Speaker 1: look at it, Ukraine may have sent drones in which 505 00:28:01,600 --> 00:28:07,080 Speaker 1: bombed Russian air bases. A drone attack inside Russia by 506 00:28:07,240 --> 00:28:11,640 Speaker 1: Ukraine would be a new front in this war where 507 00:28:12,000 --> 00:28:14,040 Speaker 1: Ukraine has always been on the defensive and just trying 508 00:28:14,040 --> 00:28:16,720 Speaker 1: to make sure Russia doesn't blow up everything that it has. 509 00:28:16,720 --> 00:28:18,880 Speaker 1: Who would have thought that was possible nine months ago, 510 00:28:19,960 --> 00:28:24,520 Speaker 1: But there's the story. In December. Ukraine apparently is not 511 00:28:24,640 --> 00:28:29,120 Speaker 1: publicly commented on the attack. These were missile attacks at 512 00:28:29,200 --> 00:28:33,800 Speaker 1: two separate air bases in Russia. Reports are three people 513 00:28:33,840 --> 00:28:37,760 Speaker 1: were killed, several people were injured, and apparently these bases 514 00:28:38,240 --> 00:28:42,040 Speaker 1: they keep some of the important Russian military equipment, some 515 00:28:42,120 --> 00:28:47,320 Speaker 1: of the planes that they use to attack. The governor 516 00:28:47,360 --> 00:28:51,080 Speaker 1: of Russian's Kursk region, which borders Ukraine, said there was 517 00:28:51,120 --> 00:28:54,720 Speaker 1: a drone attack near an airfield in the region. Kiev 518 00:28:54,800 --> 00:28:57,240 Speaker 1: hasn't commented on it, although apparently there were some jokes 519 00:28:57,240 --> 00:29:04,080 Speaker 1: made by some Ukrainian officials kind of taken credit for 520 00:29:04,160 --> 00:29:08,120 Speaker 1: the attack. They claim the cursed attack followed other similar 521 00:29:08,200 --> 00:29:10,520 Speaker 1: blast at Russian bases, some of which have been located 522 00:29:10,880 --> 00:29:15,320 Speaker 1: hundreds of miles inside Russia, well beyond the range of 523 00:29:15,360 --> 00:29:20,440 Speaker 1: any prior Ukrainian attacks. You wonder if they have something 524 00:29:20,520 --> 00:29:24,920 Speaker 1: else as far as military equipment that enables them to 525 00:29:25,000 --> 00:29:29,000 Speaker 1: carry out to maybe some real threats to Russia inside 526 00:29:29,040 --> 00:29:34,440 Speaker 1: Russia and their state owned bank VTB, the country's second 527 00:29:34,520 --> 00:29:38,680 Speaker 1: largest lenders, says it was hit by the largest cyber 528 00:29:38,720 --> 00:29:46,200 Speaker 1: attack it has ever experienced, unprecedented. Meanwhile, the US has 529 00:29:46,200 --> 00:29:50,360 Speaker 1: approved a potential sale of one hundred and sixteen Abrams 530 00:29:50,400 --> 00:29:53,560 Speaker 1: tanks M one A one tanks, other vehicles and munitions 531 00:29:54,160 --> 00:29:57,920 Speaker 1: to Poland in a deal valued up to three point 532 00:29:58,000 --> 00:30:03,960 Speaker 1: seventy five billion dollars. Poland also just bought two fifty 533 00:30:04,080 --> 00:30:07,120 Speaker 1: M one A two tanks by the same maker. Now 534 00:30:07,200 --> 00:30:10,040 Speaker 1: is this Poland then turns them over to Ukraine. Is 535 00:30:10,040 --> 00:30:13,840 Speaker 1: that what's going on? Or yeah, I would guess. So 536 00:30:14,320 --> 00:30:17,160 Speaker 1: it does say they're trying to modernize the military well 537 00:30:17,240 --> 00:30:19,760 Speaker 1: and to adjust to, you know, the new threats like 538 00:30:19,840 --> 00:30:23,440 Speaker 1: Russia's invasion of Ukraine. Though there was a story this 539 00:30:23,480 --> 00:30:28,280 Speaker 1: week in the National Review. Raytheon makes a lot of 540 00:30:28,720 --> 00:30:34,160 Speaker 1: the anti tank and anti aircraft missiles that we give 541 00:30:34,240 --> 00:30:37,960 Speaker 1: to Ukraine, and Raytheon's based in Simi Valley, and the 542 00:30:38,240 --> 00:30:42,280 Speaker 1: anti tank missiles are called javelins, the anti aircraft are 543 00:30:42,320 --> 00:30:48,120 Speaker 1: called Stingers, and we've given them so many that we've 544 00:30:48,880 --> 00:30:52,320 Speaker 1: used up, according to an executive, thirteen years worth of 545 00:30:52,360 --> 00:30:57,000 Speaker 1: Stinger production and five years worth of javelin production. Wow. 546 00:30:57,080 --> 00:30:59,560 Speaker 1: So he says, how are we going to resupply and 547 00:30:59,600 --> 00:31:03,640 Speaker 1: rest the inventories? Because the Pentagon had not bought a 548 00:31:03,640 --> 00:31:06,520 Speaker 1: new Stinger system since two thousand and four, they've been 549 00:31:06,560 --> 00:31:10,320 Speaker 1: sitting on a lot of unused weapons. Yeah, and they're 550 00:31:10,360 --> 00:31:12,400 Speaker 1: gonna have to. But they only make four hundred a month, 551 00:31:14,440 --> 00:31:18,240 Speaker 1: four hundred javelins a month, So yeah, I imagine we 552 00:31:18,520 --> 00:31:23,200 Speaker 1: must have a much bigger stockpile somewhere. By the way, 553 00:31:23,400 --> 00:31:26,120 Speaker 1: we get attacked. The US State Department is not commenting 554 00:31:26,120 --> 00:31:28,160 Speaker 1: in they're walking a fine line here. They don't really 555 00:31:28,160 --> 00:31:32,600 Speaker 1: want to encourage Ukraine to attack inside Russia, but right 556 00:31:32,640 --> 00:31:35,040 Speaker 1: because we're gonna get the nukes that could set off 557 00:31:35,160 --> 00:31:39,520 Speaker 1: another big chapter in this whole thing. Well, but a 558 00:31:39,560 --> 00:31:46,040 Speaker 1: lovely moment. Thank you Mark Thompson too is by the way, 559 00:31:46,040 --> 00:31:48,400 Speaker 1: this is what only half of the Mark Thompsons we're 560 00:31:48,440 --> 00:31:51,040 Speaker 1: having on today. You know, Mark Thompson from the Mark 561 00:31:51,080 --> 00:31:52,760 Speaker 1: and Brian Show. He's got a new book out. Yeah, 562 00:31:52,760 --> 00:31:55,720 Speaker 1: he's coming on tonight. So it was a great booking 563 00:31:55,760 --> 00:31:57,640 Speaker 1: to book him on a Tuesday night. Yeah, I'm excited. 564 00:31:57,680 --> 00:32:03,480 Speaker 1: He's a wealthy, successful Mark Thompson. I'm looking wish, I 565 00:32:03,480 --> 00:32:06,760 Speaker 1: wish I were just being polite. I think his book 566 00:32:06,880 --> 00:32:10,280 Speaker 1: is How to Be a Ridgemark Thompson. Yeah, you know, 567 00:32:11,640 --> 00:32:14,480 Speaker 1: late for me, but I had asked mo Kelly. Mo 568 00:32:14,600 --> 00:32:17,280 Speaker 1: Kelly takes a cruise every year with his wife, like 569 00:32:17,320 --> 00:32:19,240 Speaker 1: a week or two, and I'm like, God, I've been 570 00:32:19,240 --> 00:32:21,520 Speaker 1: working twenty five years in a row, five ninths week. 571 00:32:21,560 --> 00:32:23,240 Speaker 1: I don't have the money for a cruise. And he 572 00:32:23,280 --> 00:32:25,480 Speaker 1: had a great line. He goes, yeah, but he says, 573 00:32:25,880 --> 00:32:29,320 Speaker 1: I also don't go to the track. Like okay, he 574 00:32:29,480 --> 00:32:31,760 Speaker 1: knows a little too much where the cruise money is. 575 00:32:32,240 --> 00:32:34,040 Speaker 1: There's a lot of things you could be doing if 576 00:32:34,040 --> 00:32:35,760 Speaker 1: you didn't go to the track. Yeah, like driving around 577 00:32:35,760 --> 00:32:38,000 Speaker 1: in a car that's worth more than thirty two hundred dollars. 578 00:32:38,640 --> 00:32:41,160 Speaker 1: I drive a car that's that's blue booked at around 579 00:32:41,200 --> 00:32:43,760 Speaker 1: thirty eight hundred dollars. Yeah, it's a it's a twenty 580 00:32:43,800 --> 00:32:47,480 Speaker 1: sixteen Navigator twenty. I'm sorry twenty six, navigator. I was 581 00:32:47,480 --> 00:32:50,000 Speaker 1: gonna say, yeah, twenty six, I would guess like nineteen 582 00:32:50,040 --> 00:32:53,640 Speaker 1: eighty nine true story. Yeah, it's true star and the 583 00:32:53,640 --> 00:32:55,840 Speaker 1: electrics are going out on it. So that's the beginning 584 00:32:55,840 --> 00:32:58,840 Speaker 1: of the end. You know, you plead poverty, but I 585 00:32:58,880 --> 00:33:02,560 Speaker 1: think otherwise, you got buddy Ken, you can come over 586 00:33:02,560 --> 00:33:05,480 Speaker 1: any time with a Calculator's got a stash somewhere in 587 00:33:05,520 --> 00:33:09,520 Speaker 1: the Cayman Eye there. I'm with you. There's a stack 588 00:33:09,520 --> 00:33:12,880 Speaker 1: one hundred somewhere in that house. I think it is 589 00:33:12,920 --> 00:33:15,160 Speaker 1: a smooth operator. You don't really know what's going on. 590 00:33:15,200 --> 00:33:17,600 Speaker 1: I'm like like Rick D's used to come on the 591 00:33:17,600 --> 00:33:19,760 Speaker 1: air and say, you know, man, is it great and 592 00:33:19,880 --> 00:33:22,400 Speaker 1: first class? I mean, you know, when I walk through, 593 00:33:22,440 --> 00:33:26,560 Speaker 1: I can see everybody up there in first class. God dang, 594 00:33:26,640 --> 00:33:29,120 Speaker 1: they look like they're having a great time. Twenty two 595 00:33:29,160 --> 00:33:34,800 Speaker 1: minutes after the hour, Snookies, cookies, nust kickies, snickers. It 596 00:33:34,840 --> 00:33:37,080 Speaker 1: sounds a bit like your Mark Thompson in prison. Yeah, 597 00:33:37,520 --> 00:33:41,120 Speaker 1: impressions run together. Anybody in radio against that boy, that's good. 598 00:33:41,400 --> 00:33:47,800 Speaker 1: Rick is how you do it, big dog, big show, 599 00:33:47,880 --> 00:33:53,640 Speaker 1: the both of them. Yeah, Los Angeles live everywhere on 600 00:33:53,680 --> 00:33:54,640 Speaker 1: the iHeartRadio app,