1 00:00:00,640 --> 00:00:02,040 Speaker 1: Can't. I am six forty. 2 00:00:02,120 --> 00:00:05,520 Speaker 2: You're listening to the John Cobel Podcast on the iHeartRadio app. 3 00:00:06,280 --> 00:00:08,399 Speaker 2: We're with you every day from one until four, and 4 00:00:09,119 --> 00:00:10,920 Speaker 2: we're with you after that too. In case you missed 5 00:00:10,920 --> 00:00:14,520 Speaker 2: the show, John Cobelt Show on demand. The podcast same 6 00:00:14,520 --> 00:00:17,439 Speaker 2: as the radio show. It's posted shortly after four o'clock 7 00:00:17,480 --> 00:00:21,360 Speaker 2: every day. We are going to spend some more time 8 00:00:21,440 --> 00:00:27,400 Speaker 2: in drone Land because there's so many agencies in government 9 00:00:27,640 --> 00:00:31,760 Speaker 2: trying to tell people that not to worry. At the 10 00:00:31,760 --> 00:00:35,400 Speaker 2: same time, they're not explaining where the drones are coming from, 11 00:00:37,479 --> 00:00:42,240 Speaker 2: and there's obviously unusual activity in the skies, and why 12 00:00:42,280 --> 00:00:45,519 Speaker 2: they don't if they know what's going on, that just 13 00:00:45,560 --> 00:00:50,959 Speaker 2: say so. Department of Homeland Security, the FBI, the FAA, 14 00:00:51,080 --> 00:00:54,840 Speaker 2: the Department of Defense. They released a statement jointly. Alex 15 00:00:54,920 --> 00:00:58,320 Speaker 2: Stone has more to tell. Alex you need a special 16 00:00:58,360 --> 00:01:01,920 Speaker 2: open now. Welcome to drone Land. Drone Land another ride 17 00:01:02,320 --> 00:01:06,000 Speaker 2: sounds like a Disneyland ride, drum Land with a lot 18 00:01:06,040 --> 00:01:09,520 Speaker 2: of blinking lights on it and hovering over the air. Yeah, 19 00:01:09,600 --> 00:01:12,080 Speaker 2: I mean, if they don't know what it is. Of 20 00:01:12,120 --> 00:01:15,640 Speaker 2: course President elect indicated that they do. If he knows 21 00:01:15,680 --> 00:01:18,840 Speaker 2: what they do, then maybe explaining it is tough for 22 00:01:18,880 --> 00:01:21,520 Speaker 2: them to do. But the bottom line at all levels 23 00:01:21,520 --> 00:01:24,080 Speaker 2: at federal, state, and local, that they're saying that they 24 00:01:24,120 --> 00:01:26,800 Speaker 2: know there's no threat and that this is seems to 25 00:01:26,840 --> 00:01:29,760 Speaker 2: be a lot of it. A mix of the regular 26 00:01:29,760 --> 00:01:32,320 Speaker 2: aircraft being spotted and drones that are always out there 27 00:01:32,360 --> 00:01:35,240 Speaker 2: from the eight hundred thousand hobbyist drones that are registered, 28 00:01:35,280 --> 00:01:39,000 Speaker 2: and law enforcement prones and power companies a checking lines. 29 00:01:39,040 --> 00:01:41,840 Speaker 2: But you mix that with the hysteria right now and 30 00:01:41,880 --> 00:01:44,400 Speaker 2: heightened awareness of people who a couple of weeks ago 31 00:01:44,440 --> 00:01:46,319 Speaker 2: weren't looking at the sky at night and now were 32 00:01:46,360 --> 00:01:49,280 Speaker 2: looking up and saying, look at that light coming my way, 33 00:01:49,320 --> 00:01:51,480 Speaker 2: and it's actually a plane landing at Burbank Airport. 34 00:01:51,520 --> 00:01:53,120 Speaker 1: You know that you mix it all together. 35 00:01:53,120 --> 00:01:55,559 Speaker 2: And then you got the former governor of Maryland who 36 00:01:55,680 --> 00:01:58,600 Speaker 2: posted and people said, look, even he saw them turned 37 00:01:58,600 --> 00:02:02,480 Speaker 2: out to be the constellation. It appears that he saw 38 00:02:02,600 --> 00:02:05,480 Speaker 2: stars and mistook them for drones. So a lot of 39 00:02:05,480 --> 00:02:07,480 Speaker 2: people are doing that. But those who were in New 40 00:02:07,560 --> 00:02:10,000 Speaker 2: Jersey and in New York, they're saying, yeah, people don't 41 00:02:10,080 --> 00:02:13,160 Speaker 2: understand that this is not just something they're seeing flying 42 00:02:13,160 --> 00:02:15,400 Speaker 2: in the sky that they can see that they are large, 43 00:02:15,480 --> 00:02:18,440 Speaker 2: and it is every night, and they do want the answers. 44 00:02:18,480 --> 00:02:20,320 Speaker 2: Matthew Morello is a mayor in New Jersey. 45 00:02:20,360 --> 00:02:22,320 Speaker 3: I'd like to think that there's no danger. They haven't 46 00:02:22,360 --> 00:02:25,839 Speaker 3: had any aggressive patterns. They haven't done anything other than 47 00:02:25,919 --> 00:02:29,640 Speaker 3: hover fly in erratic patterns. But if they are up 48 00:02:29,680 --> 00:02:33,000 Speaker 3: there watching videoing or something, what are they looking at? 49 00:02:33,280 --> 00:02:35,799 Speaker 2: And just give you an example of the mistakes today, 50 00:02:35,840 --> 00:02:37,960 Speaker 2: there was a reported setting of a drone over downtown 51 00:02:38,040 --> 00:02:41,520 Speaker 2: San Diego early this morning and police responded they were 52 00:02:41,560 --> 00:02:43,720 Speaker 2: tracking this thing for over an hour, they were watching it. 53 00:02:43,800 --> 00:02:47,040 Speaker 2: I just talked to San Diego Harbor Police and they say, oh, yeah, no, 54 00:02:47,400 --> 00:02:49,840 Speaker 2: that was a mand airplane. Everybody freaked out about it, 55 00:02:50,360 --> 00:02:53,040 Speaker 2: and they confirmed there was a human flying that plane 56 00:02:53,040 --> 00:02:55,880 Speaker 2: and it was legally flying. So there's a lot of that. 57 00:02:56,360 --> 00:02:59,519 Speaker 2: Yesterday near Hill Air Force Base in Utah, they responded 58 00:02:59,520 --> 00:03:03,040 Speaker 2: to a report of drones nearby. So that multi agency 59 00:03:03,040 --> 00:03:05,880 Speaker 2: statement you mentioned, they say that they these do not 60 00:03:05,919 --> 00:03:09,119 Speaker 2: present a national security or public safety risk. But those 61 00:03:09,160 --> 00:03:11,400 Speaker 2: who are seeing them. This officer in New Jersey or 62 00:03:11,400 --> 00:03:14,080 Speaker 2: our team wrote along with she says she is seeing 63 00:03:14,120 --> 00:03:15,079 Speaker 2: them every night. 64 00:03:15,160 --> 00:03:17,680 Speaker 4: It's not just one drone. When there's one, there's many. 65 00:03:17,800 --> 00:03:20,079 Speaker 2: When there's one, there's many. So now the FBI and 66 00:03:20,160 --> 00:03:23,600 Speaker 2: Department of Homeland Security they're deploying technology to detect these 67 00:03:23,680 --> 00:03:27,200 Speaker 2: drones over in New York and New Jersey, and lawmakers 68 00:03:27,320 --> 00:03:29,880 Speaker 2: on Capitol Hill are meeting on it today. Yeah, they're 69 00:03:29,880 --> 00:03:32,959 Speaker 2: supposed to be a classified meeting with the House Intelligence 70 00:03:33,160 --> 00:03:35,360 Speaker 2: to me, Oh, yeah, that's happening right now or was 71 00:03:35,360 --> 00:03:38,160 Speaker 2: a little while ago. If there's nothing going on, why 72 00:03:38,160 --> 00:03:41,640 Speaker 2: do you need a secret classified meeting. Yeah, it could 73 00:03:41,640 --> 00:03:44,320 Speaker 2: be trying to figure out and get intelligence to say 74 00:03:44,360 --> 00:03:46,360 Speaker 2: what they do or don't know about these and where 75 00:03:46,200 --> 00:03:48,040 Speaker 2: the holes and the system might be. 76 00:03:48,280 --> 00:03:49,600 Speaker 1: It's a good question. I don't know. 77 00:03:50,400 --> 00:03:52,600 Speaker 2: But there are concerns now, John, that the people are 78 00:03:52,600 --> 00:03:56,160 Speaker 2: going to fire upon these things or shine lasers at them, 79 00:03:56,160 --> 00:03:58,880 Speaker 2: which is something that people do anyway for whatever weird reason, 80 00:03:59,200 --> 00:04:01,960 Speaker 2: at aircraft, and you're going to find out that what 81 00:04:02,040 --> 00:04:04,760 Speaker 2: you just shot at was a United Airlines plane or 82 00:04:04,880 --> 00:04:08,080 Speaker 2: Alaska Airlines. So they're big concern now because a lot 83 00:04:08,120 --> 00:04:11,440 Speaker 2: of these that people are reporting in are just regular aircraft. 84 00:04:11,880 --> 00:04:14,000 Speaker 2: Somebody is going to do something that they're going to regret. 85 00:04:14,000 --> 00:04:16,200 Speaker 2: The FBI in New Jersey warning people this. They're also 86 00:04:16,279 --> 00:04:19,240 Speaker 2: concerned people will take matters into their own hands and 87 00:04:19,360 --> 00:04:21,480 Speaker 2: fire a weapon at an aircraft, and the FBI says 88 00:04:21,480 --> 00:04:24,120 Speaker 2: it's gotten about five thousand tips it is running those down. 89 00:04:24,160 --> 00:04:26,520 Speaker 2: But again, there are around eight hundred thousand registered drones 90 00:04:26,520 --> 00:04:29,080 Speaker 2: in the US. It is not illegal to fly them 91 00:04:29,120 --> 00:04:32,520 Speaker 2: at night up to about four hundred feet. So even 92 00:04:32,560 --> 00:04:34,960 Speaker 2: people online have been wondering, is this you know some 93 00:04:35,040 --> 00:04:37,600 Speaker 2: like flash mob thing. We're on some reddit chain people 94 00:04:37,640 --> 00:04:39,720 Speaker 2: have said, like, go out at six to eight o'clock 95 00:04:39,720 --> 00:04:41,680 Speaker 2: and fly your drone and you know it's where we 96 00:04:41,720 --> 00:04:44,919 Speaker 2: are now. So the other thing is if you're wondering 97 00:04:44,960 --> 00:04:46,880 Speaker 2: what's in the sky above you, the one thing that 98 00:04:46,880 --> 00:04:49,720 Speaker 2: the aviation community keeps saying is just download the Flight 99 00:04:49,839 --> 00:04:52,120 Speaker 2: Radar twenty four app and you can use the filter 100 00:04:52,240 --> 00:04:54,479 Speaker 2: on it to tell it you want to see everything. 101 00:04:54,480 --> 00:04:57,159 Speaker 2: You probably won't see small drones down low that they're 102 00:04:57,200 --> 00:04:59,640 Speaker 2: not on radar, but everything else you'll look and be 103 00:04:59,680 --> 00:05:02,880 Speaker 2: able to say, well, that's an LAPD chopper. That's Burbank 104 00:05:02,920 --> 00:05:07,000 Speaker 2: PD right there, Glendale Burbank. That's a Southwest Airlines. So 105 00:05:07,160 --> 00:05:09,720 Speaker 2: we'll answer a lot of this stuff because a lot 106 00:05:09,760 --> 00:05:12,240 Speaker 2: of it is not this, but still those in New 107 00:05:12,320 --> 00:05:14,560 Speaker 2: Jersey they're saying, yeah, but something's going on. 108 00:05:14,640 --> 00:05:16,600 Speaker 1: We played a clip. 109 00:05:17,960 --> 00:05:22,280 Speaker 2: Of the Belleville, New Jersey mayor went on a New 110 00:05:22,360 --> 00:05:27,440 Speaker 2: York TV show and he says he's heard that it's 111 00:05:27,480 --> 00:05:33,640 Speaker 2: a lost some lost radiation, a piece of medical, piece 112 00:05:33,680 --> 00:05:36,679 Speaker 2: of medical equipment used for cancer scans, lost in transit. 113 00:05:36,720 --> 00:05:38,720 Speaker 1: Have you heard about this? That we had reporting on that. 114 00:05:38,920 --> 00:05:43,640 Speaker 2: And I was reading an internal thing today on what 115 00:05:43,720 --> 00:05:45,680 Speaker 2: we found out about that, and I believe the answer 116 00:05:45,800 --> 00:05:47,479 Speaker 2: was I'm trying to pull it up right now that 117 00:05:47,640 --> 00:05:50,880 Speaker 2: they did locate it here it is right. 118 00:05:50,600 --> 00:05:53,280 Speaker 1: Now, Yeah, that they found it. 119 00:05:53,360 --> 00:05:55,720 Speaker 2: Hang on, I thought I found the email that they 120 00:05:55,720 --> 00:05:58,760 Speaker 2: were able to figure out that it was lost in 121 00:05:58,839 --> 00:06:01,840 Speaker 2: transit is what I was reading as I was trying 122 00:06:01,880 --> 00:06:06,000 Speaker 2: to understand here. It is the NRC, which is what 123 00:06:06,120 --> 00:06:10,599 Speaker 2: the National Nuclear Regular Yeah, Nuclear dear Right Incident report 124 00:06:11,000 --> 00:06:13,480 Speaker 2: for that reporting on the missing radioactive material in New 125 00:06:13,560 --> 00:06:17,400 Speaker 2: Jersey has not been updated, which is why there was 126 00:06:17,400 --> 00:06:20,760 Speaker 2: this misinformation out there. The radioactive material was used as 127 00:06:20,760 --> 00:06:23,799 Speaker 2: a radiation source in this case, they shipped via FedEx 128 00:06:24,160 --> 00:06:27,000 Speaker 2: fed X temporarily misplaced and it was later found and 129 00:06:27,120 --> 00:06:31,080 Speaker 2: had been delivered to the disposal site, the material was depleted, 130 00:06:31,320 --> 00:06:35,560 Speaker 2: and so apparently FedEx finally founded. 131 00:06:35,440 --> 00:06:36,159 Speaker 1: And delivered it on. 132 00:06:36,200 --> 00:06:39,719 Speaker 2: But there's a lot of John, you know, from officials 133 00:06:39,760 --> 00:06:42,680 Speaker 2: as well of I've heard this, I think this, and 134 00:06:42,760 --> 00:06:44,240 Speaker 2: you know a lot of it is is bull in 135 00:06:44,320 --> 00:06:47,400 Speaker 2: this case, apparently the report being that that it was 136 00:06:47,440 --> 00:06:49,520 Speaker 2: found and taken care of, and that this is not 137 00:06:49,640 --> 00:06:53,599 Speaker 2: that FedEx doesn't need that publicity around Christmas. Yeah, they're like, thanks, 138 00:06:53,600 --> 00:06:57,320 Speaker 2: how they get roped into it. They lost some radioactive 139 00:06:57,360 --> 00:07:00,760 Speaker 2: medical equipment, but they found it apparently. All right, all right, Alex, 140 00:07:01,080 --> 00:07:03,680 Speaker 2: thank you very much. You got it, John, good talking 141 00:07:03,680 --> 00:07:07,520 Speaker 2: to you when we come back. It is that we've 142 00:07:07,640 --> 00:07:13,200 Speaker 2: whipped up. It's some hysteria. Obviously there is reality to it, 143 00:07:13,280 --> 00:07:17,480 Speaker 2: and then there's hysterical reactions. People are now claiming on TikTok, 144 00:07:17,520 --> 00:07:22,400 Speaker 2: of course, that they are suffering from illnesses and they 145 00:07:22,440 --> 00:07:25,720 Speaker 2: think they caught it from the drones. They're getting sick 146 00:07:25,760 --> 00:07:27,760 Speaker 2: all over the place. And I'm going to tell you 147 00:07:27,800 --> 00:07:29,120 Speaker 2: what the blue beam is too. 148 00:07:29,200 --> 00:07:30,640 Speaker 4: Oh yeah, I can't wait to hear about that. 149 00:07:30,640 --> 00:07:31,280 Speaker 1: The blue beam. 150 00:07:31,360 --> 00:07:36,560 Speaker 5: Yeah, you're listening to John Cobelt on Demand from kfi 151 00:07:36,840 --> 00:07:38,000 Speaker 5: A six forty. 152 00:07:39,160 --> 00:07:42,400 Speaker 2: Again moist lanes eighty seven seven moist eighty six for Friday. 153 00:07:44,040 --> 00:07:49,560 Speaker 2: So as we enter the hysteria portion of the Great 154 00:07:49,640 --> 00:07:53,720 Speaker 2: drone freak Out, now people are going online. Of course 155 00:07:53,720 --> 00:07:56,800 Speaker 2: they're going online, and they're claiming that they've gotten sick, 156 00:07:57,480 --> 00:08:00,920 Speaker 2: they've gotten some kind of virus that I suppose they 157 00:08:00,960 --> 00:08:04,120 Speaker 2: believe the drones are spraying these germs in the air. 158 00:08:04,520 --> 00:08:08,960 Speaker 2: You're germ of folks, I am, they say these. You 159 00:08:08,960 --> 00:08:10,360 Speaker 2: know there's drunes flying over LA. 160 00:08:10,480 --> 00:08:13,800 Speaker 6: Now, well, I haven't seen any except for the one 161 00:08:13,800 --> 00:08:15,880 Speaker 6: that was flying by my bedroom. But that was you know, 162 00:08:16,520 --> 00:08:19,520 Speaker 6: that was a real estate agent, so that that doesn't count. 163 00:08:21,400 --> 00:08:23,320 Speaker 2: Did you do a background check on that guy just 164 00:08:23,360 --> 00:08:25,880 Speaker 2: to see if he shows up in any databasis? I should, 165 00:08:26,080 --> 00:08:30,600 Speaker 2: real estate agent. Sin's a drone to your bedroom? Good one. 166 00:08:31,400 --> 00:08:36,200 Speaker 2: Here's here are some quotes from people who have posted 167 00:08:36,320 --> 00:08:39,839 Speaker 2: on TikTok. Is TikTok like like the stupidest of all the. 168 00:08:40,200 --> 00:08:42,560 Speaker 4: I am not on TikTok, so I don't. 169 00:08:42,720 --> 00:08:44,640 Speaker 2: I'm just based on what I read in the news. 170 00:08:44,640 --> 00:08:46,679 Speaker 2: It just seems to have the lowest aggregate IQ. 171 00:08:47,120 --> 00:08:48,920 Speaker 4: Well, more young people use TikTok. 172 00:08:49,960 --> 00:08:51,679 Speaker 2: All right, this is all from than the New York, 173 00:08:51,720 --> 00:08:56,920 Speaker 2: New Jersey area. A woman posted on TikTok with the 174 00:08:56,960 --> 00:08:59,640 Speaker 2: caption I'm not saying it has anything to do with 175 00:08:59,640 --> 00:09:03,640 Speaker 2: the drum, but I'm also not saying it has anything 176 00:09:03,640 --> 00:09:04,560 Speaker 2: to do with the drones. 177 00:09:05,840 --> 00:09:06,600 Speaker 1: You can follow that. 178 00:09:06,800 --> 00:09:07,480 Speaker 4: I can follow that. 179 00:09:08,240 --> 00:09:10,120 Speaker 2: Do you live in the Tristate area and are you 180 00:09:10,240 --> 00:09:14,080 Speaker 2: sick like me? My sickness started out as pains, like everywhere. 181 00:09:14,200 --> 00:09:17,080 Speaker 2: My entire body hurt, my hair hurt, and then it 182 00:09:17,200 --> 00:09:25,559 Speaker 2: just keeps morphing into different stages. The uh here's another woman. 183 00:09:25,640 --> 00:09:28,440 Speaker 2: I had the waterworks dripping from my nose. I went 184 00:09:28,480 --> 00:09:31,160 Speaker 2: through two boxes of tissues in as many days, where 185 00:09:31,200 --> 00:09:33,320 Speaker 2: all I could do is kind of go from the 186 00:09:33,320 --> 00:09:35,640 Speaker 2: couch to the bed and back again. And then we 187 00:09:35,760 --> 00:09:41,480 Speaker 2: moved up to stuffed up sinuses. Andrea, an artist in 188 00:09:41,520 --> 00:09:44,880 Speaker 2: New York City, linked her illness to the drones. I'm 189 00:09:44,920 --> 00:09:47,559 Speaker 2: sick with the sinus congestion because of the drones over 190 00:09:47,640 --> 00:09:50,240 Speaker 2: New Jersey and Staten Island. It's pretty close to here. 191 00:09:50,400 --> 00:09:51,480 Speaker 2: I think that's what it is. 192 00:09:53,559 --> 00:09:56,400 Speaker 4: No, it's the flu, it's covid. 193 00:09:56,160 --> 00:09:58,080 Speaker 1: Or it's a coal I guess. 194 00:09:58,360 --> 00:09:59,640 Speaker 4: Doctor de Wie says. 195 00:09:59,600 --> 00:09:59,920 Speaker 1: There you go. 196 00:10:00,000 --> 00:10:03,520 Speaker 2: So every night I'm feeling worse and worse, and last 197 00:10:03,600 --> 00:10:05,400 Speaker 2: night was the worst night of them all. It turns 198 00:10:05,400 --> 00:10:07,839 Speaker 2: out some drones were shooting. They were shooting. That's what 199 00:10:08,000 --> 00:10:12,640 Speaker 2: I think caused by sinus infection. Here's Shauna from New Jersey. 200 00:10:12,679 --> 00:10:15,559 Speaker 2: Anyone else really effing sick and coughing up along rite 201 00:10:15,600 --> 00:10:18,400 Speaker 2: before Christmas? And it didn't start happening until the drones 202 00:10:18,440 --> 00:10:23,520 Speaker 2: showed up. Actually, doctor w you are right. I was, yes. 203 00:10:24,280 --> 00:10:31,640 Speaker 2: Apparently COVID tests are up from four percent detecting the 204 00:10:31,720 --> 00:10:35,040 Speaker 2: virus to five and a half percent. Hospitalizations for the 205 00:10:35,120 --> 00:10:40,440 Speaker 2: flu is up fourteen percent, also increases in RSV and 206 00:10:40,440 --> 00:10:41,280 Speaker 2: then aurovirus. 207 00:10:42,920 --> 00:10:45,240 Speaker 6: And I don't even have a medical degree, and you 208 00:10:45,280 --> 00:10:46,800 Speaker 6: did that from three thousand miles away. 209 00:10:46,880 --> 00:10:49,480 Speaker 4: Yeah, you know, and I don't have cheat sheets like 210 00:10:49,559 --> 00:10:49,760 Speaker 4: you do. 211 00:10:52,000 --> 00:10:52,920 Speaker 1: It was just your interest. 212 00:10:53,000 --> 00:10:55,640 Speaker 2: It was you can just feel the vibrations out there, 213 00:10:55,679 --> 00:11:00,920 Speaker 2: so obvious. Well, these people think it's the drones spraying viruses. Yeah. Now, 214 00:11:01,120 --> 00:11:09,960 Speaker 2: Project Blue Beam conspiracy theories about a secret government program 215 00:11:10,000 --> 00:11:14,720 Speaker 2: called Project Bluebeam are proliferating. It's a theory introduced by 216 00:11:14,720 --> 00:11:19,559 Speaker 2: the Canadian journalist Serge monast thirty years ago. The theory 217 00:11:19,640 --> 00:11:23,560 Speaker 2: is that global elites will destabilize society by staging and 218 00:11:23,679 --> 00:11:30,480 Speaker 2: unleashing massive supernatural events, alien invasions, holographic displays of cultural 219 00:11:30,480 --> 00:11:35,440 Speaker 2: and religious figures, mind control, faked crises, Oh, we've had 220 00:11:35,440 --> 00:11:38,480 Speaker 2: a lot of those, and then capitalize in the hysteria 221 00:11:38,520 --> 00:11:41,959 Speaker 2: to implement a new world order. And that's what they 222 00:11:41,960 --> 00:11:44,600 Speaker 2: think all the drones are. It's to stir up hysteria. 223 00:11:45,520 --> 00:11:49,360 Speaker 2: The name is a derivation of Project Blue Book, a 224 00:11:49,480 --> 00:11:53,040 Speaker 2: US Air Force program that investigated UFOs back in the 225 00:11:53,080 --> 00:12:04,600 Speaker 2: fifties and sixties. On Monday, the Jersey Governor was asked 226 00:12:04,640 --> 00:12:07,400 Speaker 2: what message he had for people we're staring in the 227 00:12:07,400 --> 00:12:10,560 Speaker 2: sky and finding all these drones. First of all, I'd say, 228 00:12:10,600 --> 00:12:17,160 Speaker 2: calm down, Okay, there's no evidence of anything to farry 229 00:12:17,240 --> 00:12:21,160 Speaker 2: us here. We never say never, but take a breath. 230 00:12:23,920 --> 00:12:26,480 Speaker 2: And also the drune sightings are down, but that's because 231 00:12:26,520 --> 00:12:28,360 Speaker 2: it's been raining and it's cloudy, which is what the 232 00:12:28,400 --> 00:12:29,760 Speaker 2: assemblyman said last hour. 233 00:12:30,240 --> 00:12:33,920 Speaker 6: I really don't understand why the government just doesn't tell 234 00:12:34,000 --> 00:12:37,000 Speaker 6: us exactly what's going on and we call it a day. 235 00:12:37,800 --> 00:12:40,600 Speaker 1: Yeah, I'm all disappointed that they found the radiation. 236 00:12:40,880 --> 00:12:44,120 Speaker 6: Well, I mean the same radiation John will freak a 237 00:12:44,120 --> 00:12:47,000 Speaker 6: lot of people out. I mean that that'll do it. 238 00:12:47,320 --> 00:12:50,040 Speaker 1: But well it was it was one FedEx shipment. 239 00:12:50,200 --> 00:12:52,040 Speaker 6: Why know, So you got to just go out there 240 00:12:52,040 --> 00:12:53,559 Speaker 6: and say, hey, look, I know this is going to 241 00:12:53,640 --> 00:12:55,079 Speaker 6: sound really scary. 242 00:12:55,120 --> 00:12:59,280 Speaker 2: But you know what if FedEx can't keep track of 243 00:12:59,280 --> 00:13:01,480 Speaker 2: a boxer ray, Yeah, I know, I don't know how 244 00:13:01,480 --> 00:13:02,880 Speaker 2: they're gonna do with your Christmas came there. 245 00:13:03,720 --> 00:13:05,960 Speaker 4: That's pretty scary. 246 00:13:06,920 --> 00:13:10,160 Speaker 2: It should be almost impossible to lose a radioactive. 247 00:13:09,559 --> 00:13:12,199 Speaker 4: Box and the drones still haven't found it. Apparently. 248 00:13:12,440 --> 00:13:16,559 Speaker 2: No, No, they that tracking number, They trace the tracking number, 249 00:13:16,559 --> 00:13:17,600 Speaker 2: and then that's that work. 250 00:13:18,480 --> 00:13:18,920 Speaker 1: All right. 251 00:13:19,000 --> 00:13:23,880 Speaker 2: When we come back, Uh, well we've got we've got 252 00:13:24,120 --> 00:13:25,079 Speaker 2: Luigi Mangione. 253 00:13:25,120 --> 00:13:27,320 Speaker 1: He's indicted. You have news on that. 254 00:13:27,559 --> 00:13:30,560 Speaker 4: Yeah, not in this cast, but right well at the 255 00:13:30,559 --> 00:13:31,000 Speaker 4: top of the. 256 00:13:30,960 --> 00:13:32,800 Speaker 1: Hour, all right, he's been indicted. 257 00:13:32,880 --> 00:13:36,880 Speaker 2: But I have to, after going through some of those details, 258 00:13:37,320 --> 00:13:41,520 Speaker 2: tell you about this new poll on whether younger Americans 259 00:13:41,520 --> 00:13:44,360 Speaker 2: were talking under the age of thirty whether they think 260 00:13:44,520 --> 00:13:48,280 Speaker 2: the assassination of Brian Thompson, the United Healthcare CEO, was 261 00:13:48,360 --> 00:13:49,200 Speaker 2: acceptable or not. 262 00:13:49,440 --> 00:13:51,640 Speaker 6: My kids are under the age of thirty, I'm going 263 00:13:51,679 --> 00:13:55,400 Speaker 6: to have to ask them because I will be very. 264 00:13:54,760 --> 00:13:56,160 Speaker 1: Yeah, do so. 265 00:13:56,440 --> 00:13:58,800 Speaker 2: Since it's Christmas and a lot of your lot adult 266 00:13:58,880 --> 00:14:00,880 Speaker 2: kids are coming home, Yeah, this would be a great, 267 00:14:00,960 --> 00:14:03,280 Speaker 2: great way to kick off Christmas Eve dinner. 268 00:14:03,760 --> 00:14:04,840 Speaker 1: How many of you think it's. 269 00:14:04,760 --> 00:14:09,080 Speaker 2: Okay to shoot executives to death on the streets. 270 00:14:08,800 --> 00:14:11,160 Speaker 4: But what if your kid says it's okay? What do 271 00:14:11,200 --> 00:14:11,480 Speaker 4: you do? 272 00:14:11,520 --> 00:14:13,680 Speaker 2: You gotta hu Well, you got to realize you really 273 00:14:13,720 --> 00:14:17,880 Speaker 2: screwed up as a parent. Sure your your values did 274 00:14:17,880 --> 00:14:19,360 Speaker 2: not take you. 275 00:14:19,400 --> 00:14:21,840 Speaker 4: Gotta get a Read's so disappointing. 276 00:14:21,560 --> 00:14:25,480 Speaker 2: Isn't it disappointing all the times you took your kid 277 00:14:25,560 --> 00:14:29,840 Speaker 2: to church and taught them to be kind and nice 278 00:14:29,880 --> 00:14:32,160 Speaker 2: and decent. The next thing you know, they're part of 279 00:14:32,160 --> 00:14:37,560 Speaker 2: an assassination squad. It's all coming up next. 280 00:14:38,560 --> 00:14:42,600 Speaker 5: You're listening to John Cobbel's on demand from KFI A 281 00:14:42,920 --> 00:14:43,440 Speaker 5: six forty. 282 00:14:44,240 --> 00:14:46,400 Speaker 1: We are on every day from one until four. Now. 283 00:14:46,440 --> 00:14:49,440 Speaker 2: You may have heard in Debora's News that Luigi Mangione 284 00:14:50,640 --> 00:14:53,840 Speaker 2: is beneficially indicted by a grand jury in New York 285 00:14:54,360 --> 00:14:58,680 Speaker 2: for murder in the case of Brian Thompson getting shot 286 00:14:58,720 --> 00:15:01,600 Speaker 2: to death by man Gione. I can say that because 287 00:15:01,600 --> 00:15:04,520 Speaker 2: I saw it with my own eyes on videotape. Yeah, 288 00:15:04,560 --> 00:15:07,760 Speaker 2: he's the United Healthcare CEO. Now, not only was he 289 00:15:07,840 --> 00:15:12,600 Speaker 2: charged with first degree murder, they charged him in furtherance 290 00:15:12,640 --> 00:15:20,600 Speaker 2: of terrorism also second degree murder, which includes killing as 291 00:15:20,640 --> 00:15:24,720 Speaker 2: an active terrorism criminal, possession of a weapon, and other crimes. 292 00:15:26,160 --> 00:15:29,520 Speaker 2: They put in the terrorism charge in part because New 293 00:15:29,600 --> 00:15:33,280 Speaker 2: York has a lot of scree rules, screwy laws, and 294 00:15:33,440 --> 00:15:34,840 Speaker 2: I don't want to get into the weeds with all 295 00:15:34,880 --> 00:15:39,320 Speaker 2: the details, but generally we all know first degree murder 296 00:15:39,560 --> 00:15:42,760 Speaker 2: is premeditated. You had a plan and then you carried 297 00:15:42,800 --> 00:15:46,080 Speaker 2: out the plan, where second degree murder is a more 298 00:15:46,240 --> 00:15:50,320 Speaker 2: spontaneous decision, more like an active passion. You didn't wake 299 00:15:50,400 --> 00:15:54,080 Speaker 2: up that morning planning to kill, but you you did 300 00:15:54,120 --> 00:15:58,760 Speaker 2: so well. In New York, first degree murder is only 301 00:15:58,800 --> 00:16:03,360 Speaker 2: for certain case such as shooting a police officer or 302 00:16:03,520 --> 00:16:07,400 Speaker 2: witness killing a witness killing a police officer, and there 303 00:16:07,440 --> 00:16:10,200 Speaker 2: had been speculation that Mangio may not qualify for first 304 00:16:10,200 --> 00:16:15,440 Speaker 2: degree murder, even though in the traditional use of that 305 00:16:15,600 --> 00:16:20,240 Speaker 2: term it seemed obvious. So that's why alvid Bragg decided 306 00:16:20,280 --> 00:16:25,280 Speaker 2: to add in furtherance of terrorism or an act of terrorism, 307 00:16:25,640 --> 00:16:29,120 Speaker 2: which It was too because this was a cause that 308 00:16:29,200 --> 00:16:33,240 Speaker 2: he was following through on, but it's also a way 309 00:16:33,280 --> 00:16:39,240 Speaker 2: to get him a longer guaranteed prison sentence anyway they're 310 00:16:39,280 --> 00:16:41,760 Speaker 2: going to He was already charged with murder, but the 311 00:16:41,880 --> 00:16:44,760 Speaker 2: terror allegation was part of the new package in the 312 00:16:44,760 --> 00:16:50,840 Speaker 2: grand jury indictment. In New York, you get a terror 313 00:16:50,880 --> 00:16:54,680 Speaker 2: allegation when the crime is intended to or intimidate or 314 00:16:54,720 --> 00:16:59,200 Speaker 2: coerce a civilian population, or influence the policies of a 315 00:16:59,280 --> 00:17:03,400 Speaker 2: unit of government by intimidation, or affect the conduct of 316 00:17:03,400 --> 00:17:07,240 Speaker 2: the unit of government by murder, assassination, or kidnapping. He 317 00:17:07,320 --> 00:17:10,120 Speaker 2: could get life in prison without parole if he's convicted 318 00:17:10,119 --> 00:17:13,960 Speaker 2: on these murder charges. Alvid Bragg finally found a criminal 319 00:17:14,000 --> 00:17:16,560 Speaker 2: he wants to put away. He called the killing brazen 320 00:17:16,760 --> 00:17:24,840 Speaker 2: and premeditated, frightening, well planned, targeted murder. So it's impossible 321 00:17:24,880 --> 00:17:31,399 Speaker 2: to understand how Manngel could ever get out of this one, unless, 322 00:17:31,440 --> 00:17:37,240 Speaker 2: of course, jury nullification. Dury nullification is what happened in 323 00:17:37,280 --> 00:17:40,320 Speaker 2: the oj trial. You had a jury who decided to 324 00:17:40,320 --> 00:17:42,440 Speaker 2: ignore all the facts of the case and they thought 325 00:17:42,480 --> 00:17:45,760 Speaker 2: they had a more important cause that they had to 326 00:17:45,800 --> 00:17:50,800 Speaker 2: support and letting out OJ would justify the more important cause, 327 00:17:50,880 --> 00:17:56,000 Speaker 2: which was sending LAPD a message that the days of 328 00:17:56,080 --> 00:17:59,920 Speaker 2: abuse in their mind were over, that this is what 329 00:18:00,040 --> 00:18:02,359 Speaker 2: we're going to do. We're going to start releasing murderers 330 00:18:02,880 --> 00:18:06,399 Speaker 2: because of the unfair treatment that LAPD has laid out 331 00:18:06,800 --> 00:18:12,600 Speaker 2: against minorities in Los Angeles. And if you're thinking that 332 00:18:13,320 --> 00:18:16,720 Speaker 2: this sounds outrageous to suggest there could be nullification, dury 333 00:18:16,800 --> 00:18:21,000 Speaker 2: nullification in the Luigi Mangion case, it's not. That's what 334 00:18:21,080 --> 00:18:25,040 Speaker 2: hit me today. Emerson College has a poll out. They 335 00:18:25,080 --> 00:18:28,239 Speaker 2: have a pretty large polling unit, and they survey at 336 00:18:28,240 --> 00:18:33,000 Speaker 2: one thousand registered voters and among those eighteen to twenty nine. 337 00:18:33,200 --> 00:18:37,320 Speaker 2: All right, so this would be adults under thirty, forty 338 00:18:37,440 --> 00:18:41,640 Speaker 2: one percent believe that the murder of Thompson was either 339 00:18:41,880 --> 00:18:43,760 Speaker 2: somewhat or completely acceptable. 340 00:18:46,359 --> 00:18:47,199 Speaker 1: Let that sink in. 341 00:18:47,920 --> 00:18:53,480 Speaker 2: Forty one percent of adults under thirty say, shooting Brian 342 00:18:53,560 --> 00:18:56,360 Speaker 2: Thompson in the back, cold blooded on a New York 343 00:18:56,400 --> 00:19:04,440 Speaker 2: City street somewhat are completely acceptable. Seventeen percent said completely, 344 00:19:04,480 --> 00:19:10,320 Speaker 2: twenty four percent said somewhat. Only thirty three percent of 345 00:19:10,359 --> 00:19:13,720 Speaker 2: those under the age of thirty thought the murder was 346 00:19:13,840 --> 00:19:15,560 Speaker 2: completely unacceptable. 347 00:19:16,119 --> 00:19:16,679 Speaker 1: Wow. 348 00:19:17,480 --> 00:19:23,000 Speaker 2: One third. There is I hate to stereotype generations, but 349 00:19:23,080 --> 00:19:27,600 Speaker 2: there is something deeply, deeply wrong with this. I guess 350 00:19:27,600 --> 00:19:31,280 Speaker 2: this is gen z right, a little bit of millennials. Eric, 351 00:19:31,320 --> 00:19:33,320 Speaker 2: you have to account for this. I was going to say, 352 00:19:33,320 --> 00:19:37,520 Speaker 2: I've never been prouder to be thirty. You just made 353 00:19:37,560 --> 00:19:38,440 Speaker 2: the cut, I did. 354 00:19:38,560 --> 00:19:40,919 Speaker 1: You just squeaked by. There's no chance I think this 355 00:19:40,960 --> 00:19:41,600 Speaker 1: is acceptable. 356 00:19:41,640 --> 00:19:44,359 Speaker 2: What the hell's wrong with everybody who came behind you. 357 00:19:44,760 --> 00:19:47,560 Speaker 1: That's a great question. Wow, their parents wants to drop 358 00:19:47,640 --> 00:19:51,600 Speaker 1: them on their head or something. Nineteen percent said they're 359 00:19:51,640 --> 00:19:53,440 Speaker 1: neutral on the question. Neutral. 360 00:19:53,800 --> 00:19:55,280 Speaker 4: I don't know how you can be neutral. 361 00:19:56,480 --> 00:19:56,960 Speaker 1: Wow. 362 00:19:57,840 --> 00:19:59,920 Speaker 2: So you have forty one percent who thinks it's a 363 00:20:00,000 --> 00:20:02,080 Speaker 2: acceptable nineteen percent neutral. 364 00:20:02,160 --> 00:20:03,840 Speaker 1: That's sixty percent. 365 00:20:05,000 --> 00:20:08,960 Speaker 2: Who aren't really bothered by somebody getting murdered in the 366 00:20:08,960 --> 00:20:09,800 Speaker 2: streets in New York. 367 00:20:10,040 --> 00:20:12,480 Speaker 1: Hey was an executive, he was a CEO. He had it. 368 00:20:12,400 --> 00:20:15,000 Speaker 6: Coming because people don't like him because he made a 369 00:20:15,040 --> 00:20:17,959 Speaker 6: lot of money. And you know how the insurance company is. 370 00:20:18,119 --> 00:20:20,239 Speaker 6: I mean, I don't like insurance companies. I don't know 371 00:20:20,480 --> 00:20:24,320 Speaker 6: how many people do. But we're not advocating to murder 372 00:20:24,400 --> 00:20:26,320 Speaker 6: the CEOs of insurance companies. 373 00:20:26,440 --> 00:20:31,679 Speaker 2: I I'm just I you know, I'm looking at this 374 00:20:31,760 --> 00:20:36,520 Speaker 2: other thing because you may you know, if you're if 375 00:20:36,520 --> 00:20:39,560 Speaker 2: you're a certain age, you grew up getting most of 376 00:20:39,600 --> 00:20:42,960 Speaker 2: your news from television in the newspapers, right and the radio, 377 00:20:43,000 --> 00:20:49,080 Speaker 2: of course. But here is pulling from a poster named 378 00:20:49,080 --> 00:20:52,399 Speaker 2: Doug shown now he used to be Bill Clinton's bolster, 379 00:20:53,080 --> 00:20:55,720 Speaker 2: and it rec hears He's been a commentator on Fox 380 00:20:55,760 --> 00:21:00,760 Speaker 2: and Newsmax, but he has still has his polling company. 381 00:21:01,640 --> 00:21:05,159 Speaker 2: Maybe this explains things I don't know. Three quarters of 382 00:21:05,200 --> 00:21:12,000 Speaker 2: Americans under thirty get their news from social media, eighty 383 00:21:12,080 --> 00:21:16,199 Speaker 2: four percent of people over sixty five, eighty four percent 384 00:21:16,280 --> 00:21:21,879 Speaker 2: get it from television. So you have and you know, 385 00:21:22,240 --> 00:21:26,840 Speaker 2: I guess in between you have kind of a sliding scale. 386 00:21:27,000 --> 00:21:29,320 Speaker 2: The younger you are, the less TV and the more 387 00:21:29,400 --> 00:21:35,199 Speaker 2: social media. But it was overwhelming for seniors, and it 388 00:21:35,280 --> 00:21:38,639 Speaker 2: was overwhelming for social media. And if you look at 389 00:21:38,680 --> 00:21:43,840 Speaker 2: which social media, sixty one percent of Americans under the 390 00:21:43,840 --> 00:21:49,159 Speaker 2: age of thirty get their news primarily from TikTok and 391 00:21:49,200 --> 00:21:54,000 Speaker 2: fifty five percent from Instagram. So if you run into 392 00:21:54,280 --> 00:21:58,160 Speaker 2: a thirty year old, pretty good odds they got their 393 00:21:58,160 --> 00:22:01,320 Speaker 2: news that morning from TikTok or Instagram and pretty good 394 00:22:01,320 --> 00:22:05,200 Speaker 2: odds they think shooting a CEO is okay if he's 395 00:22:05,200 --> 00:22:06,280 Speaker 2: from the healthcare industry. 396 00:22:06,320 --> 00:22:10,800 Speaker 6: Maybe I need to do a newscast on TikTok. 397 00:22:12,040 --> 00:22:13,959 Speaker 1: Better get it in while you can before it's banned. 398 00:22:14,840 --> 00:22:17,960 Speaker 2: Yeah, right, January nineteenth, that might be a good idea 399 00:22:18,000 --> 00:22:22,960 Speaker 2: to shut it down. The number of people over the 400 00:22:23,000 --> 00:22:27,240 Speaker 2: age of sixty five getting their news from TikTok eight percent, 401 00:22:28,359 --> 00:22:33,600 Speaker 2: from Instagram ten percent. Now not only see you know, 402 00:22:33,640 --> 00:22:36,560 Speaker 2: I used to think, okay, it's just a different transmission source, right, 403 00:22:36,600 --> 00:22:39,040 Speaker 2: because I look at Instagram and I see, you know, 404 00:22:39,080 --> 00:22:41,640 Speaker 2: the ABC News has a feed, and Fox has a feed, 405 00:22:41,680 --> 00:22:45,480 Speaker 2: and all the traditional networks. But you could see that 406 00:22:45,560 --> 00:22:49,280 Speaker 2: most people on TikTok and Instagram are not using traditional 407 00:22:49,320 --> 00:22:54,119 Speaker 2: media sources, and it's it's just a new venue. I 408 00:22:54,119 --> 00:22:59,560 Speaker 2: guess these are are just mysterious influencers. 409 00:23:00,160 --> 00:23:02,160 Speaker 4: Yeah, you're going to get your news from an influence. 410 00:23:02,240 --> 00:23:07,720 Speaker 2: Yeah, YouTube people, podcasters. I mean, there's a whole array. 411 00:23:07,760 --> 00:23:11,000 Speaker 2: And some of these people got noticed because Trump was 412 00:23:11,040 --> 00:23:13,959 Speaker 2: going on their shows, and I, you know, I somewhat 413 00:23:14,080 --> 00:23:16,520 Speaker 2: keep track of the podcast world, but some of these 414 00:23:16,520 --> 00:23:18,760 Speaker 2: shows are apparently that Trump is showing up on and 415 00:23:18,800 --> 00:23:19,560 Speaker 2: are very popular. 416 00:23:19,560 --> 00:23:20,679 Speaker 1: I'd never heard of these people. 417 00:23:21,359 --> 00:23:23,440 Speaker 2: And then there's a whole other group, you know, who 418 00:23:23,440 --> 00:23:26,919 Speaker 2: didn't make the news during the last election, where I 419 00:23:26,920 --> 00:23:31,560 Speaker 2: guess are influencing sixty to seventy five percent of the population. 420 00:23:33,240 --> 00:23:35,919 Speaker 2: I guess everybody's running their own news service now and 421 00:23:35,960 --> 00:23:38,800 Speaker 2: who knows what you're getting. But there's a lot of propaganda. 422 00:23:38,840 --> 00:23:43,320 Speaker 2: There's a lot of very uh strident ideologies that are 423 00:23:43,359 --> 00:23:47,000 Speaker 2: being promoted under the guise of news. I mean, people 424 00:23:47,040 --> 00:23:49,480 Speaker 2: think they're getting news from TikTok. Yeah, even though it 425 00:23:49,520 --> 00:23:51,000 Speaker 2: could be a crazy I'm insulted. 426 00:23:51,320 --> 00:23:54,720 Speaker 4: If you want real news, you come here KF five. 427 00:23:54,760 --> 00:23:56,040 Speaker 1: And you don't want anybody killed. 428 00:23:56,280 --> 00:24:01,960 Speaker 6: I do not well, well, you know you know where 429 00:24:01,920 --> 00:24:07,159 Speaker 6: I stand on not CEOs. I'm not saying that some 430 00:24:07,240 --> 00:24:08,320 Speaker 6: of the idiots on the. 431 00:24:08,320 --> 00:24:12,280 Speaker 2: Road right exactly. I think you hurled death threats on 432 00:24:12,280 --> 00:24:13,600 Speaker 2: your way home from work every day. 433 00:24:14,359 --> 00:24:16,480 Speaker 1: I don't know that. 434 00:24:16,280 --> 00:24:20,760 Speaker 2: That just really shocked me because that means people under thirty, 435 00:24:20,880 --> 00:24:23,240 Speaker 2: not all of them obviously, but you got about sixty 436 00:24:23,240 --> 00:24:25,760 Speaker 2: percent are living in a different world than what I'm 437 00:24:25,800 --> 00:24:29,639 Speaker 2: living in. And it doesn't matter what we all think, 438 00:24:29,720 --> 00:24:32,080 Speaker 2: and it doesn't matter about the you know, the and 439 00:24:32,320 --> 00:24:35,719 Speaker 2: you know the news industry has discredited itself so many times, 440 00:24:36,000 --> 00:24:39,800 Speaker 2: all their bogus stories over the years. I mean, they 441 00:24:39,840 --> 00:24:44,680 Speaker 2: went really off the cliff during the Trump administration, and 442 00:24:45,000 --> 00:24:47,679 Speaker 2: it's permanently hurt them. They've lost a lot of credibility 443 00:24:47,720 --> 00:24:50,600 Speaker 2: with people. But the young people never bought into it 444 00:24:50,600 --> 00:24:53,160 Speaker 2: to begin with. They just don't watch, They never watched, 445 00:24:53,160 --> 00:24:54,720 Speaker 2: They don't care. 446 00:24:55,800 --> 00:24:58,800 Speaker 6: But you have to have some common sense and knowing 447 00:24:58,840 --> 00:25:01,680 Speaker 6: it's not okay just to go gun down a CEO 448 00:25:01,840 --> 00:25:03,040 Speaker 6: of an insurance company. 449 00:25:03,280 --> 00:25:04,560 Speaker 4: I mean, you really you need to know. 450 00:25:04,640 --> 00:25:07,800 Speaker 2: I mean, that's There's a woman named Taylor Lorenz. Have 451 00:25:07,840 --> 00:25:10,080 Speaker 2: you ever heard of her? She was a writer for 452 00:25:10,160 --> 00:25:15,000 Speaker 2: the Washington Post. She ultra woke, eventually got fired by 453 00:25:15,040 --> 00:25:18,679 Speaker 2: the by the Post and uh she has like her 454 00:25:18,760 --> 00:25:28,600 Speaker 2: own communications online, right, And she said, if you watched 455 00:25:28,600 --> 00:25:31,679 Speaker 2: a loved one die because of an insurance conglomerate has 456 00:25:31,720 --> 00:25:35,080 Speaker 2: denied their life saving treatment as a cost cutting measure, yes, 457 00:25:35,160 --> 00:25:37,720 Speaker 2: it's natural to wish that the people who run such 458 00:25:37,800 --> 00:25:39,920 Speaker 2: organizations would suffer the same fate. 459 00:25:42,640 --> 00:25:44,800 Speaker 1: Well, you remember all the TikTok comments I was telling 460 00:25:44,800 --> 00:25:47,920 Speaker 1: you about that said thoughts and copays and thoughts and paths. 461 00:25:48,440 --> 00:25:51,520 Speaker 2: And I thought that was just you know, a media hype. 462 00:25:51,560 --> 00:25:54,720 Speaker 2: You know, because you always find a few random idiots online, right, 463 00:25:54,960 --> 00:25:57,000 Speaker 2: You can always go to the comments section and pick 464 00:25:57,040 --> 00:25:59,240 Speaker 2: out a half a dozen of the stupid people or 465 00:25:59,320 --> 00:26:01,920 Speaker 2: the trolls. The people are just stirring up stuff. That's 466 00:26:01,960 --> 00:26:04,080 Speaker 2: what struck me. Is like, No, it looks like, you know, 467 00:26:04,760 --> 00:26:07,240 Speaker 2: forty one percent say cool, shoot the guy in the 468 00:26:07,280 --> 00:26:08,320 Speaker 2: back again. 469 00:26:08,400 --> 00:26:11,240 Speaker 6: I understand people's frustration because I feel it too. With 470 00:26:11,320 --> 00:26:15,119 Speaker 6: the insurance industry and them denying claims in the whole 471 00:26:15,160 --> 00:26:18,840 Speaker 6: pre existing conditions. I could understand why somebody would be 472 00:26:19,320 --> 00:26:22,480 Speaker 6: so angry. And fortunately I haven't lost a loved one 473 00:26:22,520 --> 00:26:24,960 Speaker 6: who has, you know, denied insurance, and I know if 474 00:26:25,000 --> 00:26:27,560 Speaker 6: I did, I would be I'd be furious. 475 00:26:28,000 --> 00:26:30,120 Speaker 4: But you can't. 476 00:26:30,480 --> 00:26:32,639 Speaker 6: You can't say that it's okay to go and just 477 00:26:32,720 --> 00:26:34,520 Speaker 6: start shooting and murdering people. 478 00:26:35,040 --> 00:26:38,720 Speaker 2: Taylor Lorenz again she's the former Washington postwriter, said she 479 00:26:38,840 --> 00:26:41,480 Speaker 2: believes in the sanctity of life, and I think that's 480 00:26:41,520 --> 00:26:44,560 Speaker 2: why I fell, along with so many other Americans' joy 481 00:26:45,240 --> 00:26:49,240 Speaker 2: after Thompson was murdered, unfortunately, and she was being interviewed 482 00:26:49,240 --> 00:26:51,680 Speaker 2: by Piers Morgan, and he said, how can this make 483 00:26:51,720 --> 00:26:54,119 Speaker 2: you joyful? The guy's a husband, a father, he's been 484 00:26:54,160 --> 00:26:55,919 Speaker 2: gunned down in the middle of Manhattan. Why does that 485 00:26:55,960 --> 00:26:57,040 Speaker 2: make you feel joyful? 486 00:27:00,800 --> 00:27:01,480 Speaker 1: But it does. 487 00:27:01,760 --> 00:27:04,600 Speaker 2: People openly celebrated. And I thought they were just acting 488 00:27:04,680 --> 00:27:07,320 Speaker 2: up for their social media feed, just to be controversial 489 00:27:07,359 --> 00:27:09,240 Speaker 2: and cool and all that. No, they really meant it. 490 00:27:09,440 --> 00:27:14,040 Speaker 2: They're happy he's dead. They think it's justified. All right, 491 00:27:14,280 --> 00:27:16,760 Speaker 2: when we come back, anybody hungry. 492 00:27:16,560 --> 00:27:17,479 Speaker 4: I'm always hungry. 493 00:27:18,960 --> 00:27:21,760 Speaker 2: I think this would fit into a vegan diet. We 494 00:27:21,880 --> 00:27:24,040 Speaker 2: have a new Kamala Harris word salad. 495 00:27:24,359 --> 00:27:26,840 Speaker 4: Oh. I thought you were really maybe bringing in some 496 00:27:26,880 --> 00:27:27,439 Speaker 4: good food. 497 00:27:28,320 --> 00:27:33,760 Speaker 2: It's very nourishing. Okay, it's good brain food. It's a superfood. 498 00:27:35,040 --> 00:27:36,879 Speaker 2: Her word salad super food. 499 00:27:36,880 --> 00:27:37,760 Speaker 1: All right, that's next. 500 00:27:38,720 --> 00:27:43,040 Speaker 5: You're listening to John Cobels on demand from KFI AM 501 00:27:43,080 --> 00:27:43,600 Speaker 5: six forty. 502 00:27:44,440 --> 00:27:47,119 Speaker 2: Kamala Harris has rarely been seen since she lost the election, 503 00:27:47,200 --> 00:27:50,240 Speaker 2: which is now about six weeks ago. She surfaced briefly 504 00:27:50,280 --> 00:27:52,919 Speaker 2: in a video to her supporters, and she looked like 505 00:27:52,960 --> 00:27:56,160 Speaker 2: she was loaded on chardonnay sunded like she was loaded. 506 00:27:56,960 --> 00:28:02,600 Speaker 2: But finally she gave a real speech. This is the 507 00:28:02,600 --> 00:28:08,560 Speaker 2: first time she's spoken at Prince George's County Prince George's 508 00:28:08,600 --> 00:28:10,200 Speaker 2: County Community College. 509 00:28:09,880 --> 00:28:13,160 Speaker 1: In Maryland, that's where she was appearing here. 510 00:28:13,720 --> 00:28:17,479 Speaker 2: And we have a plate of one of her famous 511 00:28:17,520 --> 00:28:22,040 Speaker 2: word salads. World famous word salad. Let's roll and see 512 00:28:22,040 --> 00:28:22,560 Speaker 2: what this is. 513 00:28:22,720 --> 00:28:26,400 Speaker 7: So I will say this as we close out this year. 514 00:28:28,520 --> 00:28:34,880 Speaker 7: I ask of you this, that those here and anyone watching, 515 00:28:35,960 --> 00:28:40,440 Speaker 7: that you will not walk away, that you will stay 516 00:28:40,640 --> 00:28:47,400 Speaker 7: true to your spirit and your sense of purpose, that 517 00:28:47,440 --> 00:28:52,440 Speaker 7: you will continue to fight for the promise of America. 518 00:28:54,560 --> 00:28:59,280 Speaker 7: And I ask you to remember the context in which 519 00:28:59,360 --> 00:28:59,960 Speaker 7: you exist. 520 00:29:02,560 --> 00:29:03,200 Speaker 2: Yeah I did that. 521 00:29:04,760 --> 00:29:23,360 Speaker 8: Uh huh. 522 00:29:23,360 --> 00:29:26,000 Speaker 1: Remember the context in which you exist? 523 00:29:26,600 --> 00:29:26,800 Speaker 2: Yeah? 524 00:29:26,840 --> 00:29:27,240 Speaker 5: I did that. 525 00:29:28,400 --> 00:29:29,880 Speaker 4: Now what does she mean when she says, yeah, I 526 00:29:29,960 --> 00:29:30,360 Speaker 4: did that. 527 00:29:32,320 --> 00:29:37,000 Speaker 2: She one of her most famous word salads. She said 528 00:29:37,160 --> 00:29:39,480 Speaker 2: during the campaign. I don't know what's wrong with you, 529 00:29:39,480 --> 00:29:42,120 Speaker 2: young people. You think you just fell out of a 530 00:29:42,160 --> 00:29:46,360 Speaker 2: coconut tree. You exist in the context of all in 531 00:29:46,400 --> 00:29:49,040 Speaker 2: which you live and what you and what you came 532 00:29:49,120 --> 00:29:53,600 Speaker 2: before you. And so that was such a confusing jumble 533 00:29:53,680 --> 00:29:55,880 Speaker 2: of nothing that it became a whole thing on the 534 00:29:55,880 --> 00:29:59,479 Speaker 2: internet for a while. See, And so that's why they 535 00:29:59,520 --> 00:30:03,160 Speaker 2: started wiggling because you know under thirty they get all 536 00:30:03,200 --> 00:30:05,680 Speaker 2: their news from TikTok, right you see, Yeah, so that 537 00:30:07,400 --> 00:30:14,760 Speaker 2: this was a big TikTok mean, and the people wonder, 538 00:30:14,920 --> 00:30:15,640 Speaker 2: I don't understand. 539 00:30:15,680 --> 00:30:19,280 Speaker 1: How could she lose? Did you see Trump yesterday? 540 00:30:20,720 --> 00:30:25,600 Speaker 2: Seventy minutes unscripted, thirty six questions from the press. Maybe 541 00:30:25,640 --> 00:30:28,320 Speaker 2: you didn't like the answers, but he had answers, He 542 00:30:28,360 --> 00:30:31,880 Speaker 2: had complete sentences, He had thoughts and paragraphs and policies. 543 00:30:33,800 --> 00:30:36,400 Speaker 2: How did Harris campaign for one hundred and seven days 544 00:30:36,560 --> 00:30:37,920 Speaker 2: and not what press conference? 545 00:30:38,000 --> 00:30:39,320 Speaker 1: Like that? Not what? 546 00:30:40,160 --> 00:30:42,840 Speaker 2: Not? Even for ten minutes? He did seventy minutes. He 547 00:30:42,880 --> 00:30:47,680 Speaker 2: could have gone on for another seventy. And I keep 548 00:30:47,720 --> 00:30:55,520 Speaker 2: reading about all these TV panels and online panels and 549 00:30:55,520 --> 00:30:59,000 Speaker 2: they're all Kamala Harris lose. I mean, she had a 550 00:30:59,000 --> 00:31:02,760 Speaker 2: financial advantage, a billion dollars more. It because she can't 551 00:31:02,800 --> 00:31:05,960 Speaker 2: speak and she can't think. That's why it's wrong with you. Well, 552 00:31:06,000 --> 00:31:07,360 Speaker 2: that doesn't show up in the polling. 553 00:31:08,960 --> 00:31:09,920 Speaker 1: You can't pull that. 554 00:31:10,840 --> 00:31:13,080 Speaker 2: When you think someone's a dope, that's usually not a 555 00:31:13,160 --> 00:31:14,400 Speaker 2: choice a poster gives you. 556 00:31:14,520 --> 00:31:15,480 Speaker 1: Did you vote did you. 557 00:31:15,440 --> 00:31:17,200 Speaker 2: Not vote for Kamala Harris because you thought she was 558 00:31:17,240 --> 00:31:20,000 Speaker 2: a dope, yes or no. They don't ask that question 559 00:31:21,280 --> 00:31:23,480 Speaker 2: and people are too polite to give a truthful answer. 560 00:31:23,760 --> 00:31:27,600 Speaker 1: Believe me, that was the issue. If she wasn't a dope, 561 00:31:27,760 --> 00:31:28,400 Speaker 1: she could have won. 562 00:31:29,000 --> 00:31:31,400 Speaker 2: Yeah I did that. Yeah, but she can't think and 563 00:31:31,480 --> 00:31:36,840 Speaker 2: she can't talk, and they want her to run for governor. Yeah. 564 00:31:36,840 --> 00:31:38,480 Speaker 1: I did that in California. 565 00:31:40,480 --> 00:31:45,600 Speaker 2: And that's fortunately some people are like speaking up and saying, wait, well, 566 00:31:45,680 --> 00:31:48,200 Speaker 2: hold on time out here, before this bandwagon starts and 567 00:31:48,200 --> 00:31:52,640 Speaker 2: everybody's supposed to salute and say yes she should be governor. No, stop, 568 00:31:53,000 --> 00:31:55,920 Speaker 2: hold on a second, we already have a disaster. You're 569 00:31:55,920 --> 00:31:58,440 Speaker 2: gonna follow up a newsom with Kamala Harris. 570 00:31:58,920 --> 00:32:00,560 Speaker 1: How much more can this day take? 571 00:32:02,120 --> 00:32:05,160 Speaker 2: All Right, We're coming up Debora Mark live in the 572 00:32:05,200 --> 00:32:07,880 Speaker 2: CAFI twenty four hour Newsroom. Hey, you've been listening to 573 00:32:07,920 --> 00:32:10,440 Speaker 2: The John Cobalt Show podcast. You can always hear the 574 00:32:10,480 --> 00:32:13,240 Speaker 2: show live on KFI Am six forty from one to 575 00:32:13,280 --> 00:32:16,200 Speaker 2: four pm every Monday through Friday, and of course anytime 576 00:32:16,280 --> 00:32:18,400 Speaker 2: on demand on the iHeartRadio app.