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John Ken, Joe Cafe. 11 00:00:33,560 --> 00:00:38,320 Speaker 1: I am six forty more stimulating talk Black Friday, and 12 00:00:38,520 --> 00:00:41,040 Speaker 1: it seemed to be if you believe the hype you 13 00:00:41,080 --> 00:00:43,400 Speaker 1: see on the morning local morning news, it seemed to 14 00:00:43,479 --> 00:00:46,360 Speaker 1: be a pretty good Black Friday. I was watching all 15 00:00:46,360 --> 00:00:49,239 Speaker 1: the different stations doing sending their reporters out. They were 16 00:00:49,240 --> 00:00:52,200 Speaker 1: out last night talking about people. Some people were camping out. 17 00:00:53,120 --> 00:00:54,400 Speaker 1: I thought that I thought we were done with the 18 00:00:54,440 --> 00:00:56,520 Speaker 1: whole camping out for Black Friday sales. I thought that 19 00:00:56,600 --> 00:00:59,560 Speaker 1: was over with, But I guess not. I guess it's 20 00:00:59,600 --> 00:01:03,320 Speaker 1: still going on. KTLA was reporting from the one of 21 00:01:03,360 --> 00:01:06,200 Speaker 1: their reporters was talking about, Oh, it's changing a little bit. 22 00:01:06,360 --> 00:01:09,959 Speaker 1: We're no longer seeing the Thanksgiving Black Friday four am 23 00:01:10,080 --> 00:01:12,560 Speaker 1: crush at the door, but people are already starting to 24 00:01:12,600 --> 00:01:16,080 Speaker 1: line up outside their favorite stores where sales range from 25 00:01:16,120 --> 00:01:19,120 Speaker 1: forty to seventy percent off. We spoke to Trey Bodge, 26 00:01:19,280 --> 00:01:22,880 Speaker 1: a smart shopping expert at Truetrey dot com. What I'm 27 00:01:22,880 --> 00:01:25,360 Speaker 1: seeing right now in terms of the things to focus 28 00:01:25,400 --> 00:01:28,680 Speaker 1: on over a cyber weekend would be tech for sure. 29 00:01:28,720 --> 00:01:32,160 Speaker 1: I'm seeing discounts in the fifty to sixty percent off range, 30 00:01:32,800 --> 00:01:37,720 Speaker 1: and then fall fashion, beauty, small home appliances. Boge says, 31 00:01:37,720 --> 00:01:41,120 Speaker 1: wait until December to purchase your winter apparel, toys, and 32 00:01:41,240 --> 00:01:45,679 Speaker 1: anything holiday themed. Another tip using online deal sites to 33 00:01:45,720 --> 00:01:49,760 Speaker 1: save more on top of retailer sales. Many automatically alert 34 00:01:49,800 --> 00:01:53,320 Speaker 1: you to available cashback deals and run cupons for you 35 00:01:53,440 --> 00:01:56,800 Speaker 1: at checkout. Yeah, that worked out. My wife has got 36 00:01:56,840 --> 00:02:01,080 Speaker 1: what is it, the Capital one shop thing. I had 37 00:02:01,120 --> 00:02:03,480 Speaker 1: honey on my computer for a while. I know Microsoft 38 00:02:03,520 --> 00:02:06,400 Speaker 1: has got like their own shop helping coupon deal and 39 00:02:06,720 --> 00:02:09,000 Speaker 1: in the Edge browser as well. So yeah, there's a 40 00:02:09,000 --> 00:02:10,560 Speaker 1: few of those out there, and my wife's actually gotten 41 00:02:10,560 --> 00:02:13,000 Speaker 1: some pretty good deals from some of those things. One 42 00:02:13,000 --> 00:02:15,320 Speaker 1: of the concerns people have had going into this holiday 43 00:02:15,400 --> 00:02:21,560 Speaker 1: season has to do with safety. We've seen holidays tend 44 00:02:21,600 --> 00:02:25,200 Speaker 1: to be tense times. There've been a couple of high 45 00:02:25,200 --> 00:02:27,760 Speaker 1: profile mash shootings here in the last week as well, 46 00:02:27,800 --> 00:02:31,959 Speaker 1: one of them at at a Walmart. So safety is 47 00:02:31,960 --> 00:02:35,240 Speaker 1: of the utmost importance. Blake Trolley was sort of checking 48 00:02:35,240 --> 00:02:37,359 Speaker 1: in on what the HP is doing this year. Blake, 49 00:02:37,639 --> 00:02:40,600 Speaker 1: are you there, my friend? How's it going, Chris? It's 50 00:02:40,600 --> 00:02:44,640 Speaker 1: going really well. What's what's this organized Retail Crime task 51 00:02:44,680 --> 00:02:47,040 Speaker 1: Force that the CHP is doing. Yeah, So the HP 52 00:02:47,160 --> 00:02:49,600 Speaker 1: has had this task force, but you know, with the 53 00:02:50,160 --> 00:02:53,600 Speaker 1: rise in in these smashing grab robberies that we saw 54 00:02:53,760 --> 00:02:58,360 Speaker 1: last year, that that really you know, trickled into the spring, 55 00:02:58,400 --> 00:03:01,640 Speaker 1: the governor actually expanded the size of that task force, 56 00:03:01,800 --> 00:03:03,760 Speaker 1: and when he did, he touched on holiday shopping. He 57 00:03:03,760 --> 00:03:06,600 Speaker 1: said people should feel safe when holiday shopping. But you know, 58 00:03:06,639 --> 00:03:09,240 Speaker 1: another big part of this was, of course, also just 59 00:03:09,280 --> 00:03:13,280 Speaker 1: to kind of change the rhetoric on these smashing grab robbers. 60 00:03:13,720 --> 00:03:16,480 Speaker 1: The governor again, when he expanded on this, he also 61 00:03:16,560 --> 00:03:18,760 Speaker 1: said the state is doubling down its efforts to stop 62 00:03:18,800 --> 00:03:21,680 Speaker 1: these from happening, and on top of that, to prosecute 63 00:03:22,120 --> 00:03:24,680 Speaker 1: these crimes. So what does the HP do today with 64 00:03:24,680 --> 00:03:27,720 Speaker 1: this bigger team with added officers. They sent officers all 65 00:03:27,760 --> 00:03:29,440 Speaker 1: over the state. They sent him to stores, they sent 66 00:03:29,560 --> 00:03:32,160 Speaker 1: him to malls. And the big goal here, Chris, was 67 00:03:32,200 --> 00:03:34,680 Speaker 1: to make sure criminals were aware that there were more 68 00:03:34,720 --> 00:03:38,400 Speaker 1: police officers. The idea here is to increase visibility to 69 00:03:38,480 --> 00:03:41,840 Speaker 1: ward off crime before it happens. So again, they were 70 00:03:42,000 --> 00:03:44,720 Speaker 1: all over the state. And I talked to some people 71 00:03:44,760 --> 00:03:47,400 Speaker 1: today who felt like it was a good idea to 72 00:03:47,520 --> 00:03:50,560 Speaker 1: send these added officers. I spoke to one woman. She 73 00:03:50,920 --> 00:03:52,720 Speaker 1: wouldn't interview with me, but she did tell me on 74 00:03:52,760 --> 00:03:55,520 Speaker 1: background she works in retail. She said, yeah, I'm definitely 75 00:03:55,520 --> 00:03:58,800 Speaker 1: worried going into the holidays, especially today, that she could 76 00:03:58,840 --> 00:04:01,200 Speaker 1: be involved, you know, in some sort of high profile 77 00:04:01,280 --> 00:04:04,600 Speaker 1: retail theft. Here's a guy I want to go to 78 00:04:04,600 --> 00:04:06,640 Speaker 1: a bite. This is a guy in Glendale. He says, 79 00:04:06,760 --> 00:04:08,880 Speaker 1: the entire time he's going to be out shopping today, 80 00:04:09,480 --> 00:04:12,880 Speaker 1: thieves will be on his mind. It's scary because we're 81 00:04:12,880 --> 00:04:14,960 Speaker 1: supposed to bury our head in the sand and not 82 00:04:15,120 --> 00:04:17,800 Speaker 1: be aware that this stuff happens. But it does happen 83 00:04:18,160 --> 00:04:21,040 Speaker 1: and people get hurt, and yeah, it's it's on my 84 00:04:21,080 --> 00:04:23,880 Speaker 1: mind a little bit. Yeah, all the time. It's on 85 00:04:23,920 --> 00:04:27,680 Speaker 1: my mind, especially with public transportation, you know. And that's 86 00:04:27,720 --> 00:04:29,960 Speaker 1: a really interesting point that he makes, you know, Chris, 87 00:04:30,000 --> 00:04:32,000 Speaker 1: I was thinking about that some people are going to 88 00:04:32,040 --> 00:04:34,560 Speaker 1: be buying these items and they're not going to just 89 00:04:34,600 --> 00:04:37,480 Speaker 1: be able to load them into a car and drive away. 90 00:04:37,480 --> 00:04:39,920 Speaker 1: They are going to be taking these items on public transit. 91 00:04:40,279 --> 00:04:42,520 Speaker 1: So I am working to figure out if there has 92 00:04:42,560 --> 00:04:45,480 Speaker 1: been added security on public transit knowing people are going 93 00:04:45,520 --> 00:04:48,599 Speaker 1: to be coming home with those those Black Friday deals. Yeah, 94 00:04:48,640 --> 00:04:51,440 Speaker 1: I know that's a that's a big concern. But I 95 00:04:51,480 --> 00:04:53,160 Speaker 1: was doing an awful lot of radio in the Bay 96 00:04:53,200 --> 00:04:55,360 Speaker 1: Area here over the last couple of years with Mark 97 00:04:55,360 --> 00:04:58,800 Speaker 1: Thompson actually, and I know that some of those smashing 98 00:04:58,800 --> 00:05:01,400 Speaker 1: grabs that were so profile, a couple of those came 99 00:05:01,440 --> 00:05:05,640 Speaker 1: out of that Bay area. But the overall statistics seemed 100 00:05:05,640 --> 00:05:07,880 Speaker 1: to counter the narrative that we were seeing on the television. 101 00:05:07,880 --> 00:05:12,320 Speaker 1: The overall statistics of the retail theft we're actually down. 102 00:05:12,880 --> 00:05:15,080 Speaker 1: But then of course we end up getting what appears 103 00:05:15,120 --> 00:05:17,960 Speaker 1: to be an organized crime spree around the holidays, at 104 00:05:18,000 --> 00:05:20,760 Speaker 1: least we did in the Bay Area last year. Uh 105 00:05:20,960 --> 00:05:23,720 Speaker 1: and uh, and I think that's pretty terrifying for people. 106 00:05:23,800 --> 00:05:26,839 Speaker 1: As your your sound bite, the gentleman there pointed out 107 00:05:27,240 --> 00:05:29,400 Speaker 1: it's going on in the back of his mind that, yeah, 108 00:05:29,400 --> 00:05:32,040 Speaker 1: I could get hurt. This isn't just somebody who's pocketing something. 109 00:05:32,480 --> 00:05:36,200 Speaker 1: These are smashing grabs, and so that feels almost hollywood esque, 110 00:05:36,240 --> 00:05:39,800 Speaker 1: doesn't it that we would have those those activities going on. Well, 111 00:05:39,839 --> 00:05:41,320 Speaker 1: and while we say and one thing I want to 112 00:05:41,320 --> 00:05:43,280 Speaker 1: say is, you know that initial impact that we saw 113 00:05:43,360 --> 00:05:46,160 Speaker 1: last year certainly is the reason people feel this way 114 00:05:46,200 --> 00:05:49,039 Speaker 1: this year, the reason that they have this anxiety. But 115 00:05:49,160 --> 00:05:51,720 Speaker 1: you know, smashing grab robberies, well, they they're not grabbing 116 00:05:51,800 --> 00:05:54,440 Speaker 1: headlines like they were last year. We have seen some 117 00:05:55,080 --> 00:05:58,240 Speaker 1: this fall. I tracked down a few in September. There 118 00:05:58,240 --> 00:06:01,360 Speaker 1: was an attempted smashing grab at a restore in downtown LA. 119 00:06:01,400 --> 00:06:05,240 Speaker 1: Employees actually fought the thieves off, and we've seen that, 120 00:06:05,520 --> 00:06:08,440 Speaker 1: We've seen people step up. There was a smashing grab 121 00:06:08,480 --> 00:06:10,440 Speaker 1: at a jewelry store at the Bray of Mall that 122 00:06:10,480 --> 00:06:12,680 Speaker 1: was in September, and another smashing grab at a T 123 00:06:12,839 --> 00:06:15,920 Speaker 1: Mobile store in Orange County and both of those, both 124 00:06:15,920 --> 00:06:18,720 Speaker 1: the Bray of Mall and T Mobile, were in September. 125 00:06:19,120 --> 00:06:21,760 Speaker 1: So while it's maybe not grabbing the headlines like it 126 00:06:21,880 --> 00:06:24,280 Speaker 1: once was, maybe there's some headline fatigue there or just 127 00:06:24,320 --> 00:06:26,200 Speaker 1: in general maybe you know, it's been a couple of months. 128 00:06:26,240 --> 00:06:30,480 Speaker 1: At this point, it still is happening. And uh, and again, 129 00:06:30,520 --> 00:06:33,000 Speaker 1: I think that initial wave that we saw last year 130 00:06:33,480 --> 00:06:35,240 Speaker 1: was it was such a big impact. I just don't 131 00:06:35,279 --> 00:06:38,800 Speaker 1: think people are are shaking it yet. But oh sorry, 132 00:06:38,800 --> 00:06:40,280 Speaker 1: I was resetting there, Blake, go ahead, Now what do 133 00:06:40,360 --> 00:06:42,720 Speaker 1: you got. I was just gonna say, Blake, trolley is 134 00:06:42,720 --> 00:06:44,640 Speaker 1: with us as we talk about, you know, crime around 135 00:06:44,680 --> 00:06:47,640 Speaker 1: the holidays, especially when we're shopping, the threats to shoppers 136 00:06:47,640 --> 00:06:50,800 Speaker 1: and to the businesses. So continue with your point there, Blake. Well, 137 00:06:50,880 --> 00:06:53,400 Speaker 1: what I think is interesting about this and one thing 138 00:06:53,440 --> 00:06:56,200 Speaker 1: that I heard the KTLA reporter touching on and I 139 00:06:56,240 --> 00:06:58,240 Speaker 1: certainly felt it today when I was at the American 140 00:06:58,320 --> 00:07:01,360 Speaker 1: in Glendale's is Black Friday doesn't have that you know 141 00:07:01,400 --> 00:07:04,080 Speaker 1: that doorbuster field. I mean, I've covered the last two 142 00:07:04,120 --> 00:07:06,760 Speaker 1: that I've covered last year. I believe I was down 143 00:07:06,760 --> 00:07:09,040 Speaker 1: out of maul in Orange County. It hasn't had that 144 00:07:09,240 --> 00:07:11,800 Speaker 1: you know, that intensity that it used to have. But 145 00:07:11,840 --> 00:07:14,400 Speaker 1: I thought this was interesting, just touching on you know 146 00:07:14,440 --> 00:07:18,160 Speaker 1: what what they were saying, one hundred and fourteen million 147 00:07:18,240 --> 00:07:21,880 Speaker 1: people planned to shop today on Black Friday. That's almost 148 00:07:21,960 --> 00:07:23,960 Speaker 1: more than double the amount of people who plan on 149 00:07:24,040 --> 00:07:26,120 Speaker 1: the shop on Cyber Monday. So there seems to be 150 00:07:26,160 --> 00:07:29,320 Speaker 1: this uh wow, you know this narrative that Cyber Monday 151 00:07:29,320 --> 00:07:33,520 Speaker 1: has completely taken over. But no, that Cyber Monday is 152 00:07:33,960 --> 00:07:38,480 Speaker 1: sixty three point nine million people, so again almost almost 153 00:07:38,520 --> 00:07:40,680 Speaker 1: sliced right in half to the people who planned to 154 00:07:41,240 --> 00:07:45,640 Speaker 1: shop Black Friday. And does the Black Friday statistic include 155 00:07:45,680 --> 00:07:49,320 Speaker 1: in person and online? Yeah, I believe this is all 156 00:07:49,360 --> 00:07:54,280 Speaker 1: just in person. Oh wow, I believe s all right, yeah, 157 00:07:54,280 --> 00:07:56,400 Speaker 1: but you're right, we don't seem to have those those 158 00:07:56,520 --> 00:07:59,120 Speaker 1: those crushing crowds at four o'clock in the morning. My 159 00:07:59,160 --> 00:08:01,600 Speaker 1: wife used to say, well, let's get a hotel room 160 00:08:01,640 --> 00:08:04,840 Speaker 1: near the mall. So yeah, that was it. We have 161 00:08:04,880 --> 00:08:06,880 Speaker 1: a perfectly good house, but no, we'd have to go 162 00:08:06,920 --> 00:08:08,640 Speaker 1: stay at night at a hotel room near the mall 163 00:08:08,720 --> 00:08:12,000 Speaker 1: so she could get up early and uh and go shopping. Boy, 164 00:08:12,120 --> 00:08:15,440 Speaker 1: that was just hilacious for me. Blake, you know, as 165 00:08:15,440 --> 00:08:19,440 Speaker 1: we talk about people stepping up and in the case 166 00:08:19,480 --> 00:08:23,720 Speaker 1: that you mentioned the customers that were, you know, kind 167 00:08:23,720 --> 00:08:26,400 Speaker 1: of taking matters in their own hands. As the smashing 168 00:08:26,440 --> 00:08:29,800 Speaker 1: grab was going on, you were reporting on a store 169 00:08:29,840 --> 00:08:35,040 Speaker 1: owner in Corona that that put a stop to some crime. App. Yeah, 170 00:08:34,480 --> 00:08:38,200 Speaker 1: the store owner helped police find people who tried to 171 00:08:38,280 --> 00:08:41,920 Speaker 1: kidnap a woman. It's a really interesting story, Chris. So 172 00:08:41,960 --> 00:08:44,120 Speaker 1: the store owner was at home. He was alerted on 173 00:08:44,160 --> 00:08:47,000 Speaker 1: his phone through an app that sent you know, it's 174 00:08:47,000 --> 00:08:48,880 Speaker 1: like one of those next camera type apps where it 175 00:08:48,920 --> 00:08:51,880 Speaker 1: sends the surveillance footage. So he's alerted that people are 176 00:08:51,960 --> 00:08:55,200 Speaker 1: inside his restaurant. So the first thing he does is 177 00:08:55,200 --> 00:08:58,080 Speaker 1: he calls the woman who owns the building because she 178 00:08:58,080 --> 00:09:02,160 Speaker 1: actually lives on site, and he warns her about these burglars. 179 00:09:02,440 --> 00:09:05,080 Speaker 1: So she goes to confront them. She meets up with 180 00:09:05,120 --> 00:09:08,160 Speaker 1: them in an alleyway. They put a gun to her head, 181 00:09:08,280 --> 00:09:10,160 Speaker 1: or allegedly put a gun to her head and tried 182 00:09:10,200 --> 00:09:14,400 Speaker 1: to drag her into a car. She's able to Yeah, 183 00:09:14,400 --> 00:09:16,560 Speaker 1: and so but I guess he was already on his way, 184 00:09:17,160 --> 00:09:20,040 Speaker 1: So he was already on his way, so, you know, 185 00:09:20,080 --> 00:09:23,040 Speaker 1: they essentially failed to get the woman inside the car 186 00:09:23,400 --> 00:09:25,760 Speaker 1: and they take off, but he had shown up in 187 00:09:25,920 --> 00:09:29,400 Speaker 1: time that he was actually able to follow the car, 188 00:09:29,440 --> 00:09:32,040 Speaker 1: and the entire time he's following the car, he's giving 189 00:09:32,080 --> 00:09:34,440 Speaker 1: police updates on where the car is going. The car 190 00:09:34,480 --> 00:09:37,200 Speaker 1: didn't make it too far. Again, this happened in Corona. 191 00:09:37,200 --> 00:09:40,600 Speaker 1: The car broke down on the ninety one. The three 192 00:09:40,640 --> 00:09:43,600 Speaker 1: people who tried to kidnap this woman, they take off 193 00:09:44,120 --> 00:09:46,360 Speaker 1: and they didn't make it every It sounds like they 194 00:09:46,360 --> 00:09:49,320 Speaker 1: were in a nearby business park. Is where police found 195 00:09:49,360 --> 00:09:52,440 Speaker 1: and arrested them, all three of them on one million 196 00:09:52,440 --> 00:09:55,960 Speaker 1: dollars bail, I believe. And they're all from La County. 197 00:09:56,080 --> 00:09:58,679 Speaker 1: Was two men and a woman. The two guys are 198 00:09:58,720 --> 00:10:03,520 Speaker 1: from Long Beach and the the woman was from Los Angeles. Yeah, 199 00:10:03,559 --> 00:10:06,960 Speaker 1: And is the car still broken down? One is still 200 00:10:06,960 --> 00:10:09,719 Speaker 1: holding up traffic? Is that? I wouldn't be surprised. It's 201 00:10:09,720 --> 00:10:11,320 Speaker 1: the ninety one at the end of the day, so 202 00:10:11,480 --> 00:10:14,520 Speaker 1: it could still very well be still backed up, right. Yeah, 203 00:10:15,000 --> 00:10:18,920 Speaker 1: that's wild and that's outstanding. I'm glad that the owner 204 00:10:18,960 --> 00:10:21,440 Speaker 1: was investing in the technology and was on top of 205 00:10:21,480 --> 00:10:23,400 Speaker 1: that and made the phone calls and reacted quickly. That's 206 00:10:23,400 --> 00:10:26,280 Speaker 1: amazing and I'm so glad that the police caught him. 207 00:10:26,600 --> 00:10:29,480 Speaker 1: Do we have any notion of whether or not the 208 00:10:29,520 --> 00:10:32,719 Speaker 1: increased presence of HP just the just being there has 209 00:10:32,760 --> 00:10:35,000 Speaker 1: made a difference this year? I mean, are we when? 210 00:10:35,040 --> 00:10:37,680 Speaker 1: When might we expect to hear? Yeah? I think the results. 211 00:10:38,080 --> 00:10:41,120 Speaker 1: You know one thing that we haven't gotten any numbers 212 00:10:41,200 --> 00:10:42,840 Speaker 1: just yet, but I'm sure we're going to get some 213 00:10:42,880 --> 00:10:45,400 Speaker 1: sort of numbers on how much you know, how much 214 00:10:45,520 --> 00:10:48,199 Speaker 1: organ or how much retail crime they were able to prevent. 215 00:10:48,280 --> 00:10:51,760 Speaker 1: We haven't been provided that at this time. I think 216 00:10:51,760 --> 00:10:55,160 Speaker 1: another thing that could be interesting about it is, and 217 00:10:55,440 --> 00:10:57,360 Speaker 1: this would be a really hard thing to quantify, but 218 00:10:57,440 --> 00:11:00,280 Speaker 1: do does having those extra officers and people knowing that 219 00:11:00,320 --> 00:11:02,920 Speaker 1: those extra officers are out there? Does that actually you know, 220 00:11:03,120 --> 00:11:04,800 Speaker 1: has has that been an aid to a lot of 221 00:11:04,800 --> 00:11:08,480 Speaker 1: these businesses and in giving consumers that confidence to go 222 00:11:08,520 --> 00:11:10,640 Speaker 1: in and shop. So those are two numbers I think 223 00:11:10,600 --> 00:11:14,319 Speaker 1: are definitely worth looking into, but won't be available today. 224 00:11:14,360 --> 00:11:16,120 Speaker 1: It'll probably be a couple of days until we find 225 00:11:16,160 --> 00:11:19,120 Speaker 1: out exactly, um, what had happened. I do want to 226 00:11:19,120 --> 00:11:22,640 Speaker 1: find there's a statistic I have I want to bring up. 227 00:11:22,720 --> 00:11:26,120 Speaker 1: It's um, it was a it was a like a 228 00:11:26,160 --> 00:11:29,520 Speaker 1: snapshot of you know what they've done. Okay, So the 229 00:11:29,559 --> 00:11:35,240 Speaker 1: Task Force since its inception, which you know it started 230 00:11:35,240 --> 00:11:36,760 Speaker 1: it sounds like quite a few years ago. But the 231 00:11:36,920 --> 00:11:40,960 Speaker 1: HP hasn't been involved with twelve hundred and ninety six investigations. 232 00:11:41,000 --> 00:11:44,000 Speaker 1: They've arrested six hundred forty five people and recovered more 233 00:11:44,000 --> 00:11:46,720 Speaker 1: than two hundred and seventy one thousand, six hundred ninety 234 00:11:46,720 --> 00:11:53,600 Speaker 1: seven items of stolen retail goods. And yeah, we're talking exactly. 235 00:11:53,600 --> 00:11:56,480 Speaker 1: And again, this task Force has been expanded, so you 236 00:11:56,480 --> 00:11:59,760 Speaker 1: can you know, be assured that that that number is 237 00:11:59,760 --> 00:12:02,200 Speaker 1: going to go way up. Sure, and the politicians love 238 00:12:02,400 --> 00:12:05,520 Speaker 1: to point out what they've done, that's that's gone so well. 239 00:12:05,600 --> 00:12:08,599 Speaker 1: So as those numbers go up and they continue to 240 00:12:08,640 --> 00:12:11,240 Speaker 1: do great things, expect the politicians to take all the credit. Yeah, 241 00:12:11,480 --> 00:12:13,000 Speaker 1: you know, I think with the smash and grabs that 242 00:12:13,120 --> 00:12:16,080 Speaker 1: you know, the politicians really wanted to get ahead. And uh, 243 00:12:16,600 --> 00:12:18,840 Speaker 1: it seemed like the rhetoric, as I mentioned, the rhetoric 244 00:12:18,920 --> 00:12:21,720 Speaker 1: changed pretty quickly too. Yeah, we're gonna be tough on this. 245 00:12:22,400 --> 00:12:26,000 Speaker 1: Basically cost the DA up there in San Francisco's job, 246 00:12:26,559 --> 00:12:29,480 Speaker 1: you know it really he just seemed weak on crime, 247 00:12:29,520 --> 00:12:32,160 Speaker 1: and people said enough of that. So interesting. Uh, Blake 248 00:12:32,200 --> 00:12:35,440 Speaker 1: Trolley in the KFIN news room. Always great talking to Blake. 249 00:12:35,559 --> 00:12:37,040 Speaker 1: Thank you so much for your hard work on this 250 00:12:37,080 --> 00:12:39,920 Speaker 1: and have a great weekend, my friend. Thank you so much. 251 00:12:39,960 --> 00:12:42,959 Speaker 1: All Right, thanks chrisp all right, we'll talk one of 252 00:12:43,040 --> 00:12:44,520 Speaker 1: the one of the things that it's got people a 253 00:12:44,559 --> 00:12:48,120 Speaker 1: little on edge here is the shootings. High profile shootings 254 00:12:48,120 --> 00:12:50,360 Speaker 1: have gone on here in the last week and a half. 255 00:12:51,240 --> 00:12:53,600 Speaker 1: How close is twenty twenty two to being the worst 256 00:12:53,679 --> 00:12:56,160 Speaker 1: year ever for those mass killings. That's next. Chris merrill 257 00:12:56,200 --> 00:12:58,200 Speaker 1: In for Gihn and canak If. I am six forty. 258 00:12:58,400 --> 00:13:00,920 Speaker 1: We're live everywhere in your e hurt ready. Chris Maryland 259 00:13:00,960 --> 00:13:02,840 Speaker 1: for John ken CAF. I am six forty. It's more 260 00:13:02,840 --> 00:13:05,680 Speaker 1: stimulating talk. We just talked with Blake Troley about the 261 00:13:05,760 --> 00:13:10,040 Speaker 1: security around the different shopping centers and the HPS organized 262 00:13:10,120 --> 00:13:15,400 Speaker 1: retail Crime task force that they rolled out, and really 263 00:13:15,640 --> 00:13:21,320 Speaker 1: just having a presence at those different spaces may deter 264 00:13:21,600 --> 00:13:25,400 Speaker 1: people from even thinking about committing crimes. It also builds 265 00:13:25,400 --> 00:13:28,440 Speaker 1: a sense of security for the people that are shopping there, 266 00:13:28,480 --> 00:13:31,200 Speaker 1: a certain sense of safety. Just that high profile and 267 00:13:31,600 --> 00:13:34,679 Speaker 1: as Blake was talking about this, I thought about ever 268 00:13:35,200 --> 00:13:38,920 Speaker 1: ever go driving on the freeway and you see the 269 00:13:38,960 --> 00:13:42,679 Speaker 1: blue lights flashing up ahead of you, and you just 270 00:13:42,800 --> 00:13:46,800 Speaker 1: instinctively slow down, even if it's in the lane of 271 00:13:46,840 --> 00:13:49,200 Speaker 1: the oncoming traffic, right, it could be across the media. 272 00:13:49,240 --> 00:13:51,800 Speaker 1: You still just slow down, or at least you check 273 00:13:51,840 --> 00:13:53,800 Speaker 1: your you check your speed, you tap your brake, maybe 274 00:13:53,840 --> 00:13:57,040 Speaker 1: you check your speed, make sure that you're driving the 275 00:13:57,040 --> 00:13:58,680 Speaker 1: way that you should be. You just you just sort 276 00:13:58,679 --> 00:14:00,520 Speaker 1: of got your eyes and cross your keys when you 277 00:14:00,520 --> 00:14:02,600 Speaker 1: see that. And I don't know if it's ever happened 278 00:14:02,640 --> 00:14:06,080 Speaker 1: to you, but imagine you're driving along you see those 279 00:14:06,080 --> 00:14:09,200 Speaker 1: blue lights and you go, oh, you get this a little. 280 00:14:09,280 --> 00:14:11,720 Speaker 1: I better check my speed, make sure I'm driving with 281 00:14:11,760 --> 00:14:14,920 Speaker 1: my blinker on or anything silly. Okay, everything's good. And 282 00:14:14,960 --> 00:14:19,240 Speaker 1: then once you approach that that vehicle, you realize there's 283 00:14:19,280 --> 00:14:22,880 Speaker 1: nobody inside. You don't know exactly why that's happening, but 284 00:14:22,880 --> 00:14:24,880 Speaker 1: there's nobody inside there. I see. I see that happened 285 00:14:24,880 --> 00:14:27,760 Speaker 1: all the time around the construction sites where they'll just 286 00:14:27,800 --> 00:14:30,680 Speaker 1: have the car park there and the lights are just 287 00:14:30,760 --> 00:14:33,080 Speaker 1: on and basically it's it's just to slow people down 288 00:14:33,120 --> 00:14:36,640 Speaker 1: as they enter into a construction area. But it works right. 289 00:14:37,960 --> 00:14:42,600 Speaker 1: It works so if you are somebody that is, if 290 00:14:42,680 --> 00:14:45,680 Speaker 1: you see that the officers are there, it sort of 291 00:14:45,840 --> 00:14:49,800 Speaker 1: changes your interpretation of what the situation is. Whether you're 292 00:14:49,880 --> 00:14:51,600 Speaker 1: driving on the road you go. We gotta be careful 293 00:14:51,960 --> 00:14:54,040 Speaker 1: if you are somebody who's thinking about doing a smashing 294 00:14:54,080 --> 00:14:57,320 Speaker 1: grab and suddenly you see that there are officers posted 295 00:14:57,360 --> 00:15:00,800 Speaker 1: at a different entrances or exits, or they're remandering through 296 00:15:00,880 --> 00:15:04,080 Speaker 1: the center of a mall, for instance, along with whatever 297 00:15:04,080 --> 00:15:07,000 Speaker 1: the security is around that mall, makes you think twice, 298 00:15:07,320 --> 00:15:08,920 Speaker 1: makes you sort of tap the brakes on what your 299 00:15:08,920 --> 00:15:10,760 Speaker 1: plans for your smashing grab might have been, which is 300 00:15:10,760 --> 00:15:14,000 Speaker 1: pretty great. I love to see that it's building confidence 301 00:15:14,000 --> 00:15:16,400 Speaker 1: in the shoppers as well, because one of my favorite 302 00:15:16,480 --> 00:15:19,920 Speaker 1: times of years the Small Business Saturday, and mo Kelly's 303 00:15:19,920 --> 00:15:22,600 Speaker 1: got a Small Business Saturday show coming up tomorrow night 304 00:15:22,760 --> 00:15:26,760 Speaker 1: at six pm. If if you want to submit your 305 00:15:26,800 --> 00:15:28,800 Speaker 1: small business for a shout out and most show, you 306 00:15:28,800 --> 00:15:30,880 Speaker 1: can actually do that still. We put up a form 307 00:15:31,680 --> 00:15:36,560 Speaker 1: at KFI AM sixty dot com slash Small, KFI AM 308 00:15:36,600 --> 00:15:39,760 Speaker 1: sixty dot com slash Small, and you have until nine 309 00:15:39,760 --> 00:15:43,000 Speaker 1: o'clock tonight to fill out that form and then uh, 310 00:15:43,440 --> 00:15:44,880 Speaker 1: you know, see if MO will give your business a 311 00:15:44,880 --> 00:15:47,120 Speaker 1: shout out, take you right to the page and fill 312 00:15:47,120 --> 00:15:48,640 Speaker 1: out that form and you're you're on your way to 313 00:15:48,680 --> 00:15:54,960 Speaker 1: do it. When we talk about shopper confidence and the 314 00:15:55,040 --> 00:15:58,680 Speaker 1: feeling of security, one thing that we have seen happen. 315 00:15:58,760 --> 00:16:02,440 Speaker 1: We saw this happen at the Walmart in Chesapeake this 316 00:16:02,520 --> 00:16:04,680 Speaker 1: last week, that there was a shooting that ended up 317 00:16:04,680 --> 00:16:07,760 Speaker 1: being amongst employees and it went down during in the 318 00:16:07,760 --> 00:16:10,560 Speaker 1: break room. But we've seen it happen before where there 319 00:16:10,560 --> 00:16:14,760 Speaker 1: have been mall shootings or shootings at a retail outlet. 320 00:16:15,400 --> 00:16:19,800 Speaker 1: As part of this disastrous turn that we've seen over 321 00:16:19,800 --> 00:16:23,040 Speaker 1: the last two decades of mass shootings in America, it 322 00:16:23,160 --> 00:16:27,120 Speaker 1: seems that these the people who really want to do 323 00:16:27,160 --> 00:16:31,280 Speaker 1: a great deal of damage. They target events, and the 324 00:16:31,320 --> 00:16:34,480 Speaker 1: shopping season is an event, There's no doubt. So in 325 00:16:34,520 --> 00:16:37,520 Speaker 1: the back of my mind, if I have to go 326 00:16:37,560 --> 00:16:39,320 Speaker 1: to one of these situations, and I'm not a big 327 00:16:39,320 --> 00:16:42,240 Speaker 1: fan of crowds, but if I have to go, I 328 00:16:43,680 --> 00:16:46,360 Speaker 1: keep one eye out. I do in the same way 329 00:16:46,360 --> 00:16:48,560 Speaker 1: that when I was flying after nine to eleven, I 330 00:16:48,560 --> 00:16:51,320 Speaker 1: always kind of took a peek at all the other 331 00:16:51,360 --> 00:16:53,800 Speaker 1: passengers on the plane just took a peak. All right, 332 00:16:54,520 --> 00:16:57,920 Speaker 1: who's a potential threat? How would I handle a situation? 333 00:16:58,160 --> 00:17:00,360 Speaker 1: All right? From my seat if somebody comes us with 334 00:17:00,400 --> 00:17:02,520 Speaker 1: box cutters? Right. I started going through these different scenarios 335 00:17:02,560 --> 00:17:06,440 Speaker 1: in my mind, and and so I think it's important 336 00:17:06,720 --> 00:17:09,119 Speaker 1: to have that presence at these different shopping centers and 337 00:17:09,200 --> 00:17:15,320 Speaker 1: raised people's sense of security. You heard Brian talk about 338 00:17:15,320 --> 00:17:17,880 Speaker 1: it the Walmart gun and bought his gun that day 339 00:17:17,880 --> 00:17:21,000 Speaker 1: and then left a little manifesto I guess they're calling it. 340 00:17:24,600 --> 00:17:27,639 Speaker 1: And it was a little bizarre. It sounds like he 341 00:17:27,720 --> 00:17:31,880 Speaker 1: was sort of living in this, I don't know, almost 342 00:17:33,040 --> 00:17:37,639 Speaker 1: adolescent negative fantasy mindset. Does that make sense. Here's what 343 00:17:37,680 --> 00:17:40,640 Speaker 1: he wrote in some of this. In some of his 344 00:17:40,640 --> 00:17:44,199 Speaker 1: his diatribe here, he says he apologized to God, saying 345 00:17:44,240 --> 00:17:48,000 Speaker 1: that he had failed God and that he was harassed 346 00:17:48,040 --> 00:17:50,720 Speaker 1: by idiots with low intelligence and a lack of wisdom. 347 00:17:51,480 --> 00:17:55,160 Speaker 1: Associates gave me evil twisted grins, mocked me and celebrated 348 00:17:55,160 --> 00:17:57,760 Speaker 1: my downfall the last day. That's why they will suffer 349 00:17:57,800 --> 00:18:01,240 Speaker 1: the same fate as me. He also talked about his 350 00:18:01,359 --> 00:18:05,000 Speaker 1: phone being hacked and that his dignity was stripped. It 351 00:18:05,080 --> 00:18:09,679 Speaker 1: was the worst feeling imaginable. He said he was guilty 352 00:18:09,680 --> 00:18:13,280 Speaker 1: of failing his management team and that everyone that ever 353 00:18:13,359 --> 00:18:16,040 Speaker 1: loved him by convincing them that he was normal. He 354 00:18:16,080 --> 00:18:17,800 Speaker 1: said he had wished that he would have been able 355 00:18:17,840 --> 00:18:20,000 Speaker 1: to start over and that his parents would have paid 356 00:18:20,000 --> 00:18:23,280 Speaker 1: closer attention to his social deficits. He said, I wish 357 00:18:23,320 --> 00:18:28,639 Speaker 1: I could have saved everyone from myself, and then he 358 00:18:28,720 --> 00:18:30,480 Speaker 1: ended the letter with may God forgive me for what 359 00:18:30,520 --> 00:18:34,560 Speaker 1: I am going to do. So certainly somebody who's unsettled mentally. 360 00:18:35,520 --> 00:18:41,440 Speaker 1: Unfortunately we weren't able to identify him as a serious 361 00:18:41,440 --> 00:18:44,760 Speaker 1: threat risk prior to him carrying out this horrid act. 362 00:18:45,440 --> 00:18:49,840 Speaker 1: The guy needed help. If you're feeling like this guy is, 363 00:18:50,160 --> 00:18:53,280 Speaker 1: there is help available. And if you're feeling like you 364 00:18:53,320 --> 00:18:57,359 Speaker 1: would like you wished that somebody had paid closer attention 365 00:18:57,359 --> 00:19:01,520 Speaker 1: to your social deficits. If you feel like you're not normal, 366 00:19:02,240 --> 00:19:06,040 Speaker 1: there are avenues to explore. There are services to help 367 00:19:06,080 --> 00:19:09,000 Speaker 1: you before you feel like you have to go take 368 00:19:09,000 --> 00:19:14,560 Speaker 1: a gun and then exactly revenge on people. It's out there. 369 00:19:16,440 --> 00:19:18,320 Speaker 1: Brian's got news for us here in just a second. 370 00:19:18,359 --> 00:19:20,840 Speaker 1: But I know now that we have settled Brian Down 371 00:19:20,920 --> 00:19:24,320 Speaker 1: he was concerned why Jlo's social media accounts went dark. 372 00:19:25,040 --> 00:19:27,719 Speaker 1: I know you're also very concerned about what Yay's plans 373 00:19:27,720 --> 00:19:30,480 Speaker 1: are for twenty twenty four, Brian, I will I will 374 00:19:30,520 --> 00:19:32,160 Speaker 1: clear that up for you and also tell you who 375 00:19:32,200 --> 00:19:34,760 Speaker 1: else might be on the ballot come twenty twenty four. 376 00:19:34,920 --> 00:19:37,560 Speaker 1: Some really high profile people thinking about jumping into the race. 377 00:19:37,720 --> 00:19:39,439 Speaker 1: So we'll give that. We'll get that to you here 378 00:19:39,440 --> 00:19:41,400 Speaker 1: in just a moment. I'm Chris Merrill in for John 379 00:19:41,400 --> 00:19:43,120 Speaker 1: and Kent k IF. I am six forty. We're live 380 00:19:43,119 --> 00:19:45,000 Speaker 1: everywhere in your iHeart radio app. Chris Merrill and for 381 00:19:45,080 --> 00:19:46,800 Speaker 1: John and Ken k IF. I am six forty. More 382 00:19:46,880 --> 00:19:49,880 Speaker 1: stimulating talk. I know that many of you have been 383 00:19:49,880 --> 00:19:53,080 Speaker 1: worried about what's going on in the world of Yea, 384 00:19:53,720 --> 00:19:57,400 Speaker 1: and Yeay is making strides in his twenty twenty four 385 00:19:57,440 --> 00:20:03,440 Speaker 1: presidential bid. He recently visited marl Lago and he took 386 00:20:03,480 --> 00:20:10,040 Speaker 1: with him Nick Fuentes, who is pretty popular holocaust denier. 387 00:20:10,280 --> 00:20:12,199 Speaker 1: I mean, if if you're in that world, you know 388 00:20:12,240 --> 00:20:16,399 Speaker 1: who he is. Fluentes, who frequently post racist content in 389 00:20:16,440 --> 00:20:20,040 Speaker 1: addition to Holocaust revisionism, was brought as a guest of 390 00:20:20,119 --> 00:20:23,399 Speaker 1: rapper Kanye West, who now goes by Yay Yay. This 391 00:20:23,520 --> 00:20:29,240 Speaker 1: according to Politico Fuentes on his social media side that said, 392 00:20:29,240 --> 00:20:31,080 Speaker 1: this past week, Kanye West called me to go have 393 00:20:31,160 --> 00:20:34,239 Speaker 1: dinner at marl Lago. Shortly thereafter, he unexpectedly showed up 394 00:20:34,280 --> 00:20:36,480 Speaker 1: with three of his friends, whom I knew nothing about. 395 00:20:36,520 --> 00:20:39,280 Speaker 1: We had dinner on Tuesday evening with many members present 396 00:20:39,280 --> 00:20:42,280 Speaker 1: on the back patio. The dinner was quick and uneventful, 397 00:20:42,320 --> 00:20:50,040 Speaker 1: and then they left for the airport. That I guess 398 00:20:50,080 --> 00:20:53,240 Speaker 1: that's uh yeah, that was what Trump said, is that 399 00:20:54,000 --> 00:20:56,480 Speaker 1: they were here, it was uneventful, no big deal. They 400 00:20:56,480 --> 00:21:02,480 Speaker 1: were here, they left. But Yea tells a different story. 401 00:21:03,760 --> 00:21:07,800 Speaker 1: Yeay is now saying that Trump was upset with him. Oh, 402 00:21:07,880 --> 00:21:10,399 Speaker 1: this has got to be good. What is it that 403 00:21:11,320 --> 00:21:15,000 Speaker 1: that Trump would have been upset about? Yeay actually says 404 00:21:15,400 --> 00:21:20,639 Speaker 1: that Trump was screaming at him. M. Well, this is fantastic. 405 00:21:21,000 --> 00:21:23,439 Speaker 1: I just I love this kind of dirt. This is great. 406 00:21:24,440 --> 00:21:27,560 Speaker 1: And what is it that upset former President Trump so 407 00:21:27,640 --> 00:21:32,560 Speaker 1: much that he began screaming at Yay? Evidently Yeay crossed 408 00:21:32,600 --> 00:21:35,399 Speaker 1: the line, all right. I think the thing that Trump 409 00:21:35,560 --> 00:21:38,840 Speaker 1: was most perturbed about me asking him to be my 410 00:21:38,960 --> 00:22:00,159 Speaker 1: vice president. Golly, that's awesome. I mean, Yeay is just 411 00:22:00,200 --> 00:22:03,520 Speaker 1: in this weird place man, where he is just like 412 00:22:03,920 --> 00:22:07,240 Speaker 1: so incredibly full of himself that he went to former 413 00:22:07,359 --> 00:22:11,080 Speaker 1: president of the United States and said, I'd like you 414 00:22:11,119 --> 00:22:16,280 Speaker 1: to be my vice president. It's just spectacular. I mean, 415 00:22:16,640 --> 00:22:20,959 Speaker 1: this isn't somebody who uh you know, if you had 416 00:22:20,960 --> 00:22:24,199 Speaker 1: a respected former president of the United States and a 417 00:22:24,240 --> 00:22:26,359 Speaker 1: member of his own party was then elected in a 418 00:22:26,400 --> 00:22:28,840 Speaker 1: future date and came back and said I'd like you 419 00:22:28,880 --> 00:22:31,560 Speaker 1: to be my vice president, they might consider it, right 420 00:22:31,600 --> 00:22:33,800 Speaker 1: in the same way that Dick Cheney had been under 421 00:22:34,080 --> 00:22:38,480 Speaker 1: George eight George H. W. Bush's regime. And then when 422 00:22:38,480 --> 00:22:40,840 Speaker 1: George W. Bush came said will you be my vice president? 423 00:22:40,920 --> 00:22:46,520 Speaker 1: Like like it made sense right, this is him. Of 424 00:22:46,520 --> 00:22:48,800 Speaker 1: course Trump got upset. It was like, what a slap 425 00:22:48,840 --> 00:22:51,680 Speaker 1: in the face. Oh but wait, there's more. What else 426 00:22:51,680 --> 00:22:55,439 Speaker 1: did they discuss on this h this simple meeting on 427 00:22:55,480 --> 00:22:58,520 Speaker 1: the patio that that the Trump said he knew nothing 428 00:22:58,560 --> 00:23:01,800 Speaker 1: of anyone else showing up. I think that was like 429 00:23:01,880 --> 00:23:04,160 Speaker 1: the lower on the lists of things that caught him 430 00:23:04,200 --> 00:23:07,399 Speaker 1: off guard. It was the fact that I walked in 431 00:23:07,640 --> 00:23:11,920 Speaker 1: with intelligence. So Trump is really impressed with Nick Fluintes, 432 00:23:12,200 --> 00:23:14,840 Speaker 1: and Nick Fluintes unlike so many of the lawyers and 433 00:23:14,960 --> 00:23:17,280 Speaker 1: so many people that he was left with on his 434 00:23:17,359 --> 00:23:20,160 Speaker 1: twenty twenty campaign, he's actually a loyalist. When he didn't 435 00:23:20,160 --> 00:23:26,680 Speaker 1: know what the lawyers is, you'll still have your lawyer list, Okay, 436 00:23:28,320 --> 00:23:31,480 Speaker 1: when you don't know who the lawyers is, you'll still 437 00:23:31,520 --> 00:23:35,280 Speaker 1: have your loyal lists. Where you don't know where the 438 00:23:35,320 --> 00:23:38,320 Speaker 1: lawyers is, you still have your loyal lists. Okay, all right, 439 00:23:39,520 --> 00:23:42,840 Speaker 1: So tough to get that on a bumper sticker, but yeah, okay, right, 440 00:23:43,640 --> 00:23:46,760 Speaker 1: and when all the lawyers said forget it, Trump's done, 441 00:23:47,000 --> 00:23:50,200 Speaker 1: they are loyalists running up and the White House, right. 442 00:23:50,240 --> 00:23:53,439 Speaker 1: And my question would be, why, when you had the chance, 443 00:23:53,840 --> 00:23:58,119 Speaker 1: did you not free the January sixers? Yeah, a reasonable question, 444 00:23:58,160 --> 00:23:59,960 Speaker 1: of course. When you have the chance, why didn't you 445 00:24:00,160 --> 00:24:04,320 Speaker 1: pardon everyone who attacked the Capitol building? Seeing this is 446 00:24:04,320 --> 00:24:06,560 Speaker 1: why Yay should be president, because he would make those 447 00:24:06,600 --> 00:24:10,960 Speaker 1: tough decisions, and former President Trump should be vice president. 448 00:24:10,960 --> 00:24:12,720 Speaker 1: Sit back and watch how it's done. I came to 449 00:24:12,800 --> 00:24:15,160 Speaker 1: him as someone who loves Trump, and I said, go 450 00:24:15,200 --> 00:24:18,080 Speaker 1: and get Corey back, going, get these people that the 451 00:24:18,160 --> 00:24:20,480 Speaker 1: media trying to cancel and told you to step away 452 00:24:20,480 --> 00:24:23,920 Speaker 1: from He basically gives me this would be mob esque 453 00:24:24,119 --> 00:24:27,040 Speaker 1: kind of story, talking to some kids from the South 454 00:24:27,040 --> 00:24:30,359 Speaker 1: Side of Chicago trying to sound Mobby or whatever. Trying 455 00:24:30,400 --> 00:24:37,200 Speaker 1: to sound Mobby or whatever. Yep, that's uh. Don Gotti 456 00:24:37,240 --> 00:24:40,359 Speaker 1: was always out there trying to sound Mobby, wasn't he. Yeah, 457 00:24:40,800 --> 00:24:44,080 Speaker 1: Lucky Luciano, are you trying to sound Mobby. He goes 458 00:24:44,080 --> 00:24:47,440 Speaker 1: into the story about all that he went through to 459 00:24:47,480 --> 00:24:51,199 Speaker 1: get Alice Johnson out of jail. Alice Johnson was the 460 00:24:51,280 --> 00:24:53,359 Speaker 1: person to remember when Kim kardashi showed up at the 461 00:24:53,359 --> 00:24:57,920 Speaker 1: White House and demanded justice reform. Alice Johnson, I guess, 462 00:24:58,000 --> 00:24:59,320 Speaker 1: was the person that was involved there. So that's who 463 00:24:59,359 --> 00:25:02,199 Speaker 1: he's talking about. Didn't do it for Kim, but he 464 00:25:02,240 --> 00:25:04,399 Speaker 1: did it for me. But then he goes on to 465 00:25:04,480 --> 00:25:11,359 Speaker 1: say that Kim is a whoa. You can tell her. 466 00:25:11,400 --> 00:25:14,240 Speaker 1: I said that. I was thinking, like, that's the mother 467 00:25:14,320 --> 00:25:17,520 Speaker 1: of my children. Okay, So he's still wrapped up on 468 00:25:17,640 --> 00:25:20,159 Speaker 1: the whole Kim Kardashian who dumped him and then was 469 00:25:20,200 --> 00:25:24,119 Speaker 1: with Pete Davidson who then dumped her. But Trump was 470 00:25:24,160 --> 00:25:27,240 Speaker 1: trying I guess this is just one side of the story. 471 00:25:27,440 --> 00:25:31,080 Speaker 1: I guess Trump was just trying to buddy up with Kanye, like, Oh, 472 00:25:31,119 --> 00:25:33,359 Speaker 1: she's a real whatever and you can tell her. I 473 00:25:33,359 --> 00:25:36,080 Speaker 1: said that in the same way that if your buddy 474 00:25:36,080 --> 00:25:39,160 Speaker 1: comes to you and says that you know his girlfriend 475 00:25:39,240 --> 00:25:41,920 Speaker 1: dumped him, like, ah, you can do better. She doesn't 476 00:25:41,920 --> 00:25:44,800 Speaker 1: know anything. She's she wasn't good for you, Like whoa, 477 00:25:44,840 --> 00:25:48,639 Speaker 1: you can't talk about her like that. Since we know, 478 00:25:49,040 --> 00:25:51,960 Speaker 1: and all the Christians in America that love Trump know 479 00:25:52,119 --> 00:25:55,280 Speaker 1: that Trump is a conservative, We're going to demand that 480 00:25:55,440 --> 00:26:00,280 Speaker 1: you hold all policies directly to the Bible. When Up 481 00:26:00,359 --> 00:26:03,280 Speaker 1: started basically screaming at me at the table, telling me 482 00:26:03,359 --> 00:26:07,920 Speaker 1: I was gonna lose. What do you think YA is 483 00:26:07,920 --> 00:26:13,760 Speaker 1: gonna lose. He's the front runner. It's time to get 484 00:26:13,800 --> 00:26:16,520 Speaker 1: on the YA bus now, So he says, Trump was 485 00:26:16,600 --> 00:26:18,399 Speaker 1: yelling at him, screaming at him at the table, tell 486 00:26:18,480 --> 00:26:20,600 Speaker 1: him he was gonna lose. I mean, has that ever 487 00:26:20,680 --> 00:26:26,800 Speaker 1: worked for anyone in history? I'm like, hello, hold Trump, 488 00:26:26,840 --> 00:26:30,960 Speaker 1: you're talking to ya. You're talking to ya in the 489 00:26:31,000 --> 00:26:37,359 Speaker 1: third person. YEA. By the way, is in some other 490 00:26:37,440 --> 00:26:40,840 Speaker 1: trouble too, because not only of the anti Semitic stuff 491 00:26:40,880 --> 00:26:45,600 Speaker 1: that has come out here recently, but there were allegations 492 00:26:45,600 --> 00:26:53,720 Speaker 1: of inappropriate behavior surrounding Yea, and now Adidas has launched 493 00:26:54,119 --> 00:26:57,080 Speaker 1: an investigation. I'm assuming an internal investigation into what that 494 00:26:57,160 --> 00:27:01,879 Speaker 1: inappropriate behavior might have been. Says it's open from an 495 00:27:01,920 --> 00:27:05,720 Speaker 1: investigation into allegations of misconduct by Kanye West, who now 496 00:27:05,800 --> 00:27:09,680 Speaker 1: goes by the name Yea Yeay. Adidas says allegations were 497 00:27:09,720 --> 00:27:12,800 Speaker 1: made in an anonymous letter. The company says it doesn't 498 00:27:12,840 --> 00:27:14,880 Speaker 1: know if the allegations are true, but it is going 499 00:27:14,920 --> 00:27:19,440 Speaker 1: to investigate. Adidas did not reveal the nature of the allegations. 500 00:27:19,680 --> 00:27:22,040 Speaker 1: This comes after an article in Rolling Stone that said 501 00:27:22,040 --> 00:27:27,240 Speaker 1: Adidas board members ignored inappropriate behavior from the rapper. In October, 502 00:27:27,280 --> 00:27:31,520 Speaker 1: Adidas ended its relationship with Yea over as anti semitic remarks. 503 00:27:32,000 --> 00:27:35,800 Speaker 1: So I love the whole Adidas relationship with Ya, and 504 00:27:35,840 --> 00:27:39,080 Speaker 1: then YA is putting out anti semitic stuff a couple 505 00:27:39,080 --> 00:27:43,560 Speaker 1: of months back, and Adidas wasn't really jumping off the 506 00:27:44,000 --> 00:27:47,160 Speaker 1: Ya train. And part of that, I think is because 507 00:27:47,200 --> 00:27:49,560 Speaker 1: they had like a billion dollars deal with him. What 508 00:27:50,400 --> 00:27:54,440 Speaker 1: they thought what happens right? Uh? And what's crazy here 509 00:27:54,640 --> 00:27:59,359 Speaker 1: is the more Adidas didn't separate themselves from Kanye Yay. 510 00:27:59,720 --> 00:28:03,320 Speaker 1: The more people looked into Adida's history and realized that 511 00:28:03,359 --> 00:28:07,040 Speaker 1: it was really started by former Nazis back in the day, 512 00:28:07,680 --> 00:28:09,720 Speaker 1: and it was all of a sudden, there was this 513 00:28:10,400 --> 00:28:14,000 Speaker 1: there was this history Adidas would prefer people didn't talk 514 00:28:14,040 --> 00:28:17,359 Speaker 1: about a whole lot that suddenly came to light and uh, 515 00:28:17,440 --> 00:28:18,840 Speaker 1: and that's when I do this, was like, Okay, we 516 00:28:18,880 --> 00:28:22,600 Speaker 1: gotta just no. You're doing our brain more damage, more 517 00:28:22,600 --> 00:28:24,360 Speaker 1: than just the damage you're doing to yourself. You're really 518 00:28:24,440 --> 00:28:26,239 Speaker 1: hurting us right now, is it is? And that's when 519 00:28:26,280 --> 00:28:28,119 Speaker 1: they finally got away from him. If they had just 520 00:28:28,400 --> 00:28:31,720 Speaker 1: separated themselves from this guy sooner, probably would have saved 521 00:28:31,760 --> 00:28:33,800 Speaker 1: them a lot of egg on their face in the 522 00:28:33,800 --> 00:28:43,320 Speaker 1: long run. Probably over the course of the last well, 523 00:28:43,400 --> 00:28:45,640 Speaker 1: let's say, from twenty fifteen to twenty twenty and even 524 00:28:45,640 --> 00:28:49,000 Speaker 1: twenty twenty one, probably the most recognizable or talked about 525 00:28:49,040 --> 00:28:52,360 Speaker 1: human being on the planet was former President Trump. In 526 00:28:52,360 --> 00:28:56,520 Speaker 1: twenty twenty two, it's not I will tell you who 527 00:28:56,640 --> 00:29:00,920 Speaker 1: more people are talking about now than they our former 528 00:29:00,960 --> 00:29:05,080 Speaker 1: President Trump, who has taken a top spot for most 529 00:29:05,080 --> 00:29:07,440 Speaker 1: talked about human being. That's next. Chris merrill In for 530 00:29:07,520 --> 00:29:10,280 Speaker 1: John and counter KF I Am six forty live everywhere 531 00:29:10,280 --> 00:29:12,320 Speaker 1: in your iHeartRadio app John and Ken Show. I'm Chris 532 00:29:12,320 --> 00:29:15,160 Speaker 1: merrill In for the Boys. The twelve annual KFI Pastathon 533 00:29:15,880 --> 00:29:18,960 Speaker 1: is upon us Chef Bruno's charity, Caterina's Club, providing more 534 00:29:19,000 --> 00:29:23,040 Speaker 1: than twenty five thousand meals every week to kids and 535 00:29:23,120 --> 00:29:25,560 Speaker 1: meet in southern California. And your generosity is what makes 536 00:29:25,680 --> 00:29:30,080 Speaker 1: that happen. You can help. Just go to pastathon dot 537 00:29:30,120 --> 00:29:32,360 Speaker 1: com make a donation. You can also shop at any 538 00:29:32,400 --> 00:29:36,280 Speaker 1: Smart and Final store in California, Arizona, or Nevada. No 539 00:29:36,320 --> 00:29:38,160 Speaker 1: need to go to Arizona, Nevada if you're already in 540 00:29:38,200 --> 00:29:40,800 Speaker 1: California though, and then donated to check out. Nil Savader 541 00:29:40,840 --> 00:29:44,240 Speaker 1: is actually gonna be broadcasting tomorrow. He's got the Fork 542 00:29:44,240 --> 00:29:46,400 Speaker 1: Reports live tomorrow from two to five at the Smart 543 00:29:46,440 --> 00:29:50,080 Speaker 1: and Final in Lake Forest twenty three, six thirty one 544 00:29:50,120 --> 00:29:53,680 Speaker 1: Eltoro Road stop in say Hi and then pop into 545 00:29:53,680 --> 00:29:55,479 Speaker 1: the store and make a donation there easy to do, 546 00:29:56,280 --> 00:29:58,120 Speaker 1: and you can also go to any Wendy's restaurant chain 547 00:29:58,160 --> 00:30:01,360 Speaker 1: in southern California to donate, which is an incredible partnership. 548 00:30:01,400 --> 00:30:04,920 Speaker 1: Just amazing that Wendy's has joined us in this Remember 549 00:30:04,960 --> 00:30:07,920 Speaker 1: one hundred percent of your donation goes to Katerina's Club. 550 00:30:07,960 --> 00:30:12,200 Speaker 1: Details are at postathon dot com again postathon dot com. 551 00:30:13,600 --> 00:30:17,200 Speaker 1: Between twenty fifteen and I would say twenty twenty one, 552 00:30:17,320 --> 00:30:19,880 Speaker 1: basically up until the time he was booted from Twitter, 553 00:30:20,040 --> 00:30:24,280 Speaker 1: it seemed that former President Trump sucked all of the 554 00:30:24,320 --> 00:30:26,360 Speaker 1: air out of the room. He was the most talked 555 00:30:26,360 --> 00:30:30,120 Speaker 1: about individual in the world. My observations now of the 556 00:30:30,200 --> 00:30:33,320 Speaker 1: last few months are that nobody gets talked about more 557 00:30:33,480 --> 00:30:38,720 Speaker 1: than Elon Musk. This guy is a lightning rod the 558 00:30:38,760 --> 00:30:41,760 Speaker 1: likes of which we haven't seen since former President Trump. 559 00:30:42,000 --> 00:30:45,040 Speaker 1: He has sort of filled that void that was left 560 00:30:45,600 --> 00:30:49,040 Speaker 1: when former President Trump wasn't at the forefront of every 561 00:30:49,080 --> 00:30:53,960 Speaker 1: conversation both politically socially, at all the Thanksgiving tables. But 562 00:30:54,080 --> 00:30:57,240 Speaker 1: Elon Musk really is at this point, and everyone is 563 00:30:57,280 --> 00:31:00,800 Speaker 1: watching everything he does on the Twitter machine. I'm just 564 00:31:01,000 --> 00:31:06,400 Speaker 1: fascinated by what he puts out. Half of what he 565 00:31:06,440 --> 00:31:09,680 Speaker 1: puts out he's just trolling. He knows people are going 566 00:31:09,720 --> 00:31:11,400 Speaker 1: to come down on him, so he'll just say something 567 00:31:11,920 --> 00:31:16,120 Speaker 1: nice just so people will say mean things. He'll make 568 00:31:16,120 --> 00:31:18,800 Speaker 1: an announcement, people will say mean things. And then of 569 00:31:18,840 --> 00:31:22,280 Speaker 1: course you have the what do they call that, the Lani, 570 00:31:22,920 --> 00:31:25,160 Speaker 1: the Alana and I something of the sort. It is 571 00:31:25,360 --> 00:31:27,800 Speaker 1: the people that are diehard Elon supporters that of course 572 00:31:28,320 --> 00:31:33,479 Speaker 1: jumped to his aid in such circumstances. Key advertisers, however, 573 00:31:33,520 --> 00:31:37,320 Speaker 1: are dropping from Twitter right now, and this is problematic 574 00:31:37,720 --> 00:31:42,280 Speaker 1: for Elon Musk. More than a third of Twitter's top 575 00:31:42,280 --> 00:31:44,400 Speaker 1: one hundred clients have not advertised on the platform in 576 00:31:44,400 --> 00:31:46,440 Speaker 1: the last two weeks. That according to data that the 577 00:31:46,480 --> 00:31:50,200 Speaker 1: Washington Post is analyzed, and that's problematic. It's an indication 578 00:31:50,200 --> 00:31:53,320 Speaker 1: of the extent of skittishness among advertisers about billionaire Elon 579 00:31:53,400 --> 00:31:56,280 Speaker 1: Musk's control of the company. Dozens of top Twitter advertisers, 580 00:31:56,640 --> 00:32:00,680 Speaker 1: including fourteen of the top fifty, have stopped advertise in 581 00:32:00,680 --> 00:32:03,560 Speaker 1: the few weeks since Musk's chaotic acquisition of the social 582 00:32:03,560 --> 00:32:07,520 Speaker 1: media company. According to the Post analysis of data from Pathematics, 583 00:32:07,600 --> 00:32:12,600 Speaker 1: they offer brand analysis on digital marking marketing trends. Blue 584 00:32:12,640 --> 00:32:16,240 Speaker 1: Chip brands including Jeep and Mars Candy where among the 585 00:32:16,240 --> 00:32:18,240 Speaker 1: top one hundred US advertisers on the site in the 586 00:32:18,320 --> 00:32:22,000 Speaker 1: six months before the purchase. They haven't appeared there since. 587 00:32:22,000 --> 00:32:25,040 Speaker 1: At least November seventh, that, according to analyst, Musk assumed 588 00:32:25,040 --> 00:32:27,680 Speaker 1: ownership of the site October twenty seventh. So you've got 589 00:32:27,680 --> 00:32:30,120 Speaker 1: some advertisers are gonna sit this one out. I just 590 00:32:30,120 --> 00:32:34,400 Speaker 1: see where it goes. One might argue, though, that there 591 00:32:34,440 --> 00:32:37,080 Speaker 1: are an awful lot of eyes on Twitter right now. 592 00:32:37,400 --> 00:32:40,160 Speaker 1: Elon Musk claims that it's the most engagement Twitter has 593 00:32:40,160 --> 00:32:44,040 Speaker 1: ever had, and so if you're not advertising, you're not 594 00:32:44,560 --> 00:32:47,920 Speaker 1: getting those eyes on your brand. The concern the brands 595 00:32:47,960 --> 00:32:50,080 Speaker 1: have those that they don't want their brand associated with 596 00:32:50,160 --> 00:32:52,520 Speaker 1: something if it goes belly up, or if all of 597 00:32:52,560 --> 00:32:55,560 Speaker 1: a sudden, you know, maybe they don't like the direction 598 00:32:55,600 --> 00:32:58,840 Speaker 1: that Musk is going. For instance, Elon Musk, you may 599 00:32:58,920 --> 00:33:02,960 Speaker 1: have seen it is granting amnesty to all suspended Twitter accounts. 600 00:33:03,000 --> 00:33:05,160 Speaker 1: I don't know if that would include Alex Jones, who 601 00:33:06,120 --> 00:33:08,560 Speaker 1: he said he would not invite back out of the site, 602 00:33:09,240 --> 00:33:11,360 Speaker 1: but he's opening it up to everybody. Anybody that had 603 00:33:11,360 --> 00:33:15,440 Speaker 1: been banned before they're back. So maybe some you know, 604 00:33:15,480 --> 00:33:19,280 Speaker 1: maybe Jeep and Mars, which is like Eminem's and Snickers, 605 00:33:19,840 --> 00:33:23,360 Speaker 1: maybe they're going, we don't want to be on that site. 606 00:33:23,720 --> 00:33:27,680 Speaker 1: If our post o our you know advertisement for Jeep 607 00:33:27,760 --> 00:33:31,760 Speaker 1: Cherokee is going to show up next to somebody who's 608 00:33:32,680 --> 00:33:37,840 Speaker 1: passing up misinformation in an anti Semitic diatribe entirely possible. 609 00:33:37,840 --> 00:33:39,480 Speaker 1: They go, there may be a lot of eyes on it, 610 00:33:39,520 --> 00:33:44,000 Speaker 1: but we don't want to be associated with the dregs 611 00:33:44,040 --> 00:33:50,320 Speaker 1: that are that are flowing through Twitter right now. One 612 00:33:50,320 --> 00:33:52,440 Speaker 1: of the concerns I have is that Elon Musk is 613 00:33:52,480 --> 00:33:56,239 Speaker 1: putting up these poles, is asking he claims to be 614 00:33:56,280 --> 00:34:00,120 Speaker 1: asking Twitter users if he should reinstate accounts that have 615 00:34:00,320 --> 00:34:04,840 Speaker 1: not broken the law or engaged in egregious spam. The 616 00:34:04,960 --> 00:34:08,000 Speaker 1: vote in favor was seventy two percent. He says, the 617 00:34:08,080 --> 00:34:16,360 Speaker 1: people have spoken. Amnesty begins next week. The issue, however, 618 00:34:17,480 --> 00:34:23,760 Speaker 1: is anytime you see a media outlet quoting a poll 619 00:34:23,800 --> 00:34:27,279 Speaker 1: that's done online, what do they always say? Not a 620 00:34:27,280 --> 00:34:34,960 Speaker 1: scientific poll? I recall, I believe, trying to remember when 621 00:34:34,960 --> 00:34:37,040 Speaker 1: this was, I hadn't been in talk radio that long. 622 00:34:37,080 --> 00:34:41,719 Speaker 1: It would have been I guess two thousand eight. I 623 00:34:41,719 --> 00:34:43,880 Speaker 1: think it was two thousand and eight, and I was 624 00:34:43,920 --> 00:34:49,160 Speaker 1: doing to talk radio show and the Drudge Report ran 625 00:34:49,200 --> 00:34:51,439 Speaker 1: a poll after one of the presidential debates or about 626 00:34:51,520 --> 00:34:56,239 Speaker 1: McCain and Obama and while most of the mainstream media 627 00:34:56,320 --> 00:34:58,440 Speaker 1: was saying that, and I say mainstream media being the 628 00:34:59,480 --> 00:35:05,440 Speaker 1: large media outlets, we're saying that Obama had won the debate. 629 00:35:06,640 --> 00:35:11,560 Speaker 1: The Drudge Report poll was something overwhelmingly in favor of McCain. 630 00:35:12,640 --> 00:35:15,440 Speaker 1: Similar polls came out. You remember President Trump saying that, 631 00:35:15,520 --> 00:35:18,759 Speaker 1: you know, America thinks I won that debate. Whatever it is, 632 00:35:18,800 --> 00:35:21,160 Speaker 1: and it's some poll that's done on some right wing website. 633 00:35:22,840 --> 00:35:25,360 Speaker 1: The question is what is the validity of the poll. 634 00:35:26,040 --> 00:35:29,239 Speaker 1: In the case of Elon Musk, he's putting these polls up, 635 00:35:29,239 --> 00:35:33,640 Speaker 1: but he also controls the polling numbers himself. It's easy 636 00:35:33,680 --> 00:35:35,600 Speaker 1: for him to manipulate the numbers. He just sit on 637 00:35:35,680 --> 00:35:39,239 Speaker 1: his laptop and change those results. So how much validity 638 00:35:39,320 --> 00:35:41,359 Speaker 1: is there to the vote that comes through? Maybe it's 639 00:35:41,400 --> 00:35:44,680 Speaker 1: completely straight up, maybe it's totally straight up, but we 640 00:35:44,719 --> 00:35:49,319 Speaker 1: don't know that because not a scientific poll. All right, 641 00:35:49,360 --> 00:35:52,319 Speaker 1: did you get the good stuff for your holiday shopping here? 642 00:35:52,360 --> 00:35:55,600 Speaker 1: As you were out on Black Friday? Did you order 643 00:35:55,760 --> 00:35:57,880 Speaker 1: your stuff online? And if so, how do you know 644 00:35:57,920 --> 00:35:59,759 Speaker 1: what's going to get to your house? That's next Chris 645 00:35:59,760 --> 00:36:02,120 Speaker 1: Mary for John and Ken Okf. I am six forty 646 00:36:02,160 --> 00:36:04,440 Speaker 1: Live everywhere in your heart radio app. Hey Ken, did 647 00:36:04,440 --> 00:36:06,560 Speaker 1: you know that gold is the only currency that's held 648 00:36:06,560 --> 00:36:09,399 Speaker 1: its value since the dawn of money? Well I did 649 00:36:09,719 --> 00:36:12,879 Speaker 1: thanks to our friends at Legacy Precious Medals, the most 650 00:36:12,920 --> 00:36:17,000 Speaker 1: trusted name in gold investing. 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