1 00:00:00,600 --> 00:00:02,000 Speaker 1: Caf I Am six forty. 2 00:00:02,040 --> 00:00:04,280 Speaker 2: You're listening to the John and Ken Show on demand 3 00:00:04,320 --> 00:00:11,399 Speaker 2: on the iHeartRadio app live everywhere on the iHeartRadio app, 4 00:00:11,400 --> 00:00:14,240 Speaker 2: and the iHeart app is where you can hear the 5 00:00:14,320 --> 00:00:17,840 Speaker 2: John and kennon demand podcast posted just after four o'clock. 6 00:00:17,920 --> 00:00:21,480 Speaker 2: It's the same as the radio show and you will 7 00:00:21,560 --> 00:00:23,680 Speaker 2: be able to hear everything you missed this afternoon. 8 00:00:24,079 --> 00:00:25,880 Speaker 1: And you know this is kind of a two parter. 9 00:00:26,120 --> 00:00:28,720 Speaker 3: Yesterday we did a story that was run in the 10 00:00:28,760 --> 00:00:33,199 Speaker 3: San Francisco Chronicle entitled how ghost students are applying to 11 00:00:33,280 --> 00:00:37,239 Speaker 3: colleges to steal financial aid. We talked a lot that 12 00:00:37,320 --> 00:00:40,479 Speaker 3: during the pandemic, people were stealing unemployment money, but what 13 00:00:40,600 --> 00:00:43,800 Speaker 3: also started and got bigger during the pandemic was stealing 14 00:00:43,800 --> 00:00:48,520 Speaker 3: community college aid money by what they call using ghost students. 15 00:00:49,040 --> 00:00:51,479 Speaker 3: That is, they would probably collect the name and some 16 00:00:51,560 --> 00:00:54,760 Speaker 3: identifying information of real people, but stick them in there 17 00:00:54,800 --> 00:00:59,240 Speaker 3: as perspective community college students, and then apply for financial aid, 18 00:00:59,280 --> 00:01:03,640 Speaker 3: which would get to to the fraudster. It says here, 19 00:01:03,720 --> 00:01:06,240 Speaker 3: although the state software has caught more than half of 20 00:01:06,280 --> 00:01:10,039 Speaker 3: fraudulent mission applications in July, it's still left about two 21 00:01:10,160 --> 00:01:16,160 Speaker 3: hundred thousand sham applications. The pelgrant is the most common. 22 00:01:16,200 --> 00:01:18,760 Speaker 3: It's a federal college subsidy for needy students, and the 23 00:01:18,800 --> 00:01:21,520 Speaker 3: fraudsters love to try to steal that money. 24 00:01:22,000 --> 00:01:24,360 Speaker 1: We're going to talk to someoney reached out to us 25 00:01:24,400 --> 00:01:25,720 Speaker 1: because she's. 26 00:01:25,480 --> 00:01:28,920 Speaker 3: Mentioned in the article. Kim Rich is a criminal justice 27 00:01:28,959 --> 00:01:34,319 Speaker 3: instructor at Pierce College to Community College in Woodland Hills, 28 00:01:34,720 --> 00:01:40,360 Speaker 3: and she apparently is an expert at identifying these fake 29 00:01:40,440 --> 00:01:42,880 Speaker 3: students in her online classes. And of course that's the 30 00:01:42,880 --> 00:01:45,679 Speaker 3: other part of this. If the student is online, they 31 00:01:45,720 --> 00:01:48,000 Speaker 3: don't necessarily show up in front of you in the classroom. 32 00:01:48,280 --> 00:01:51,280 Speaker 3: It would be easier for them to be a ghost. 33 00:01:51,440 --> 00:01:53,480 Speaker 3: Let's get Kim on the show and talk more about this. 34 00:01:53,960 --> 00:01:57,440 Speaker 4: Kim, how are you great? How are you good? 35 00:01:57,920 --> 00:01:58,760 Speaker 1: Thanks for coming on. 36 00:01:59,400 --> 00:02:03,840 Speaker 2: All right, explain what you've seen from your post at 37 00:02:03,880 --> 00:02:04,680 Speaker 2: Pierce College. 38 00:02:06,760 --> 00:02:10,200 Speaker 4: Well, this really started basically a couple of years ago, 39 00:02:10,440 --> 00:02:14,359 Speaker 4: and the pandemic was really the catalyst for allowing this 40 00:02:14,520 --> 00:02:17,760 Speaker 4: to happen. Obviously, financial aid fraud has been around forever, 41 00:02:18,680 --> 00:02:23,320 Speaker 4: but you know, being online really enabled them to take 42 00:02:23,360 --> 00:02:27,080 Speaker 4: advantage of the situation and also the free flowing money 43 00:02:27,320 --> 00:02:30,320 Speaker 4: that our government's been handing out also, didn't you know, 44 00:02:30,360 --> 00:02:35,280 Speaker 4: really help this cause. And in California you can apply 45 00:02:35,480 --> 00:02:39,040 Speaker 4: to one or one hundred and sixteen of our California 46 00:02:39,120 --> 00:02:43,359 Speaker 4: community colleges all through one portal, and so this made 47 00:02:43,400 --> 00:02:48,360 Speaker 4: it even easier for these criminals to access all of 48 00:02:48,360 --> 00:02:52,600 Speaker 4: our colleges community colleges and to be able to apply 49 00:02:52,720 --> 00:02:56,000 Speaker 4: to them and roll in them and then be able 50 00:02:56,080 --> 00:02:59,640 Speaker 4: to apply for and obtain financial aids. 51 00:03:00,200 --> 00:03:02,880 Speaker 2: So you could use dozens of names and apply to 52 00:03:02,919 --> 00:03:05,880 Speaker 2: dozens of colleges and get dozens of grant checks. 53 00:03:07,400 --> 00:03:08,160 Speaker 4: Yes you can. 54 00:03:09,560 --> 00:03:11,600 Speaker 3: What does it mean in terms of paying tuition or 55 00:03:11,639 --> 00:03:12,840 Speaker 3: anything else that they have to do? 56 00:03:12,960 --> 00:03:15,120 Speaker 1: I mean, does the money come that quickly to them? 57 00:03:16,320 --> 00:03:20,720 Speaker 4: It says. And basically they've been able to use some 58 00:03:20,840 --> 00:03:24,520 Speaker 4: kind of algorithm. I am not tech savvy in that sense, 59 00:03:24,639 --> 00:03:29,680 Speaker 4: but they've been able to basically have these spots, you know, 60 00:03:29,840 --> 00:03:35,720 Speaker 4: just constantly applying and are enrolling in these courses. And 61 00:03:35,760 --> 00:03:38,920 Speaker 4: for instance, in my one class that you know has 62 00:03:38,920 --> 00:03:42,880 Speaker 4: a cap enrollment of forty, thirty eight of them ended 63 00:03:42,960 --> 00:03:48,000 Speaker 4: up being fake students, So thirty eight enrolled in this class. 64 00:03:48,760 --> 00:03:53,120 Speaker 4: And so they were able to if they who knows 65 00:03:53,120 --> 00:03:55,720 Speaker 4: if they actually ended up getting financial aid or not. 66 00:03:55,880 --> 00:03:59,840 Speaker 4: I don't have access to that data, but they could 67 00:03:59,840 --> 00:04:03,000 Speaker 4: have otherwise, there's no point of them being enrolled in 68 00:04:03,000 --> 00:04:04,920 Speaker 4: a class. They're not there to get an education. They 69 00:04:04,960 --> 00:04:08,920 Speaker 4: don't even exist. They're not real people. So they have 70 00:04:09,160 --> 00:04:14,440 Speaker 4: the opportunity to receive financial aid if they have that 71 00:04:14,680 --> 00:04:18,080 Speaker 4: time frame where they can capture that financial aid and 72 00:04:18,279 --> 00:04:19,600 Speaker 4: basically get away with it. 73 00:04:19,960 --> 00:04:20,720 Speaker 1: What are they using. 74 00:04:20,720 --> 00:04:24,279 Speaker 3: They're using real people's names and some sort of identifying data. 75 00:04:24,320 --> 00:04:25,080 Speaker 1: Is that what they use? 76 00:04:26,560 --> 00:04:32,000 Speaker 4: Yeah, they're obviously using real people's information. Back when I 77 00:04:32,080 --> 00:04:37,080 Speaker 4: first detected this in summer of twenty twenty one, there 78 00:04:37,200 --> 00:04:42,880 Speaker 4: were in my course then I had found several instances 79 00:04:42,960 --> 00:04:47,320 Speaker 4: of identity staff where they had been using people's information 80 00:04:47,760 --> 00:04:52,120 Speaker 4: from throughout the country, even using people who were deceased. 81 00:04:52,160 --> 00:04:56,440 Speaker 4: They were using their images and all of their data 82 00:04:56,760 --> 00:04:59,560 Speaker 4: that I was able to find on the internet. 83 00:05:00,400 --> 00:05:03,480 Speaker 3: Is this because you're a criminal justice instructor? You really 84 00:05:03,520 --> 00:05:05,440 Speaker 3: made a point to try to track these down. 85 00:05:07,400 --> 00:05:11,800 Speaker 4: No, I just wanted to basically see how they were 86 00:05:11,920 --> 00:05:16,800 Speaker 4: coming upon using these images that were in the online class. 87 00:05:17,080 --> 00:05:19,640 Speaker 4: The images were kind of one of the reasons that 88 00:05:20,200 --> 00:05:24,000 Speaker 4: I want These do not look like normal students images 89 00:05:24,080 --> 00:05:26,799 Speaker 4: that they would use as an avatar in their class. 90 00:05:26,880 --> 00:05:30,280 Speaker 4: They definitely looked like they were something from the internet. 91 00:05:32,040 --> 00:05:33,839 Speaker 3: I was going to ask for your techniques and trying 92 00:05:33,839 --> 00:05:36,080 Speaker 3: to ferret out these these fake students. 93 00:05:36,160 --> 00:05:38,160 Speaker 1: Is that what do you usually do? What are you 94 00:05:38,200 --> 00:05:38,680 Speaker 1: looking for? 95 00:05:40,040 --> 00:05:44,440 Speaker 4: It's not really necessarily a technique, not something I would say, hey, 96 00:05:44,760 --> 00:05:47,320 Speaker 4: you know, this is what you should do look for ABCD. 97 00:05:47,800 --> 00:05:51,680 Speaker 4: It's just a lot of times something that jumps out 98 00:05:51,720 --> 00:05:54,599 Speaker 4: to me, things that I see in common that are 99 00:05:54,640 --> 00:06:01,240 Speaker 4: not normal, or things that are irregular. Now there's kind 100 00:06:01,279 --> 00:06:05,839 Speaker 4: of becoming more of a system. You'll see obviously strange 101 00:06:05,880 --> 00:06:09,039 Speaker 4: things in the names. You'll see, you know, the first 102 00:06:09,080 --> 00:06:12,479 Speaker 4: name and the last name are similar, or they're the 103 00:06:12,560 --> 00:06:16,560 Speaker 4: same identical first name and last name on the rosters. 104 00:06:16,560 --> 00:06:22,560 Speaker 4: Oftentimes you'll see them using characters or even numbers in 105 00:06:22,640 --> 00:06:30,640 Speaker 4: their name. Sometimes their names are actually very interesting. They'll 106 00:06:31,000 --> 00:06:34,039 Speaker 4: actually have like a little sentence is actually part of 107 00:06:34,040 --> 00:06:39,400 Speaker 4: the name. They come up with all unique things just 108 00:06:39,440 --> 00:06:42,760 Speaker 4: to get into class, hoping that people won't catch it, 109 00:06:42,920 --> 00:06:46,040 Speaker 4: and if they get on the roster and the class begins, 110 00:06:46,400 --> 00:06:50,960 Speaker 4: that means many people before it gets to the instructor 111 00:06:51,240 --> 00:06:54,960 Speaker 4: have not caught that because they have been on the 112 00:06:55,040 --> 00:06:57,800 Speaker 4: roster en rolls in a class for quite some time 113 00:06:58,040 --> 00:07:00,320 Speaker 4: that somebody should have caught it and happen. 114 00:07:00,880 --> 00:07:04,640 Speaker 2: Going back to that class where you had forty people enrolled, 115 00:07:04,880 --> 00:07:08,080 Speaker 2: thirty eight of them were fake. How did you figure 116 00:07:08,120 --> 00:07:11,320 Speaker 2: this out? Did you have thirty eight bots on the 117 00:07:11,360 --> 00:07:14,120 Speaker 2: first day of class staring at you from the screen. 118 00:07:16,600 --> 00:07:21,200 Speaker 4: My class is not a live class, so they have 119 00:07:21,480 --> 00:07:25,280 Speaker 4: basically a week to complete the work that I assigned 120 00:07:25,360 --> 00:07:30,080 Speaker 4: to them, but there's built in assignments where I can 121 00:07:30,240 --> 00:07:35,200 Speaker 4: basically read out if a person is real or not. However, 122 00:07:36,160 --> 00:07:41,160 Speaker 4: there are some tail till signs where I basically determined 123 00:07:41,240 --> 00:07:46,320 Speaker 4: that the majority of them were fake, Like nobody except 124 00:07:46,360 --> 00:07:51,200 Speaker 4: for a handful of them, actually logged into the class. 125 00:07:51,560 --> 00:07:55,360 Speaker 1: So that's kind of there's a tip uff right there. Well, 126 00:07:55,400 --> 00:07:57,120 Speaker 1: they don't exist, so they're not going to lie in. 127 00:07:57,280 --> 00:07:59,440 Speaker 2: Yeah, exactly. 128 00:08:00,920 --> 00:08:04,520 Speaker 4: And you know, I was not the only professor at 129 00:08:04,520 --> 00:08:08,280 Speaker 4: the college that this happened to. I believe mine was 130 00:08:08,560 --> 00:08:14,880 Speaker 4: the lowest enrollment, but there were other faculty who had 131 00:08:15,160 --> 00:08:21,440 Speaker 4: numbers below ten, even below five, where these classes were 132 00:08:21,520 --> 00:08:24,760 Speaker 4: full at one point in time up too close to 133 00:08:24,840 --> 00:08:30,240 Speaker 4: a month before the classes began, and this should have 134 00:08:30,280 --> 00:08:34,840 Speaker 4: been caught way before the semester began, and they weren't. 135 00:08:35,200 --> 00:08:40,040 Speaker 4: And the enrollment at the college for specifically these late 136 00:08:40,120 --> 00:08:46,480 Speaker 4: start classes dropped close to three thousand students just for 137 00:08:46,600 --> 00:08:51,200 Speaker 4: these late start online classes. And that's a big drop 138 00:08:51,240 --> 00:08:53,360 Speaker 4: in enrollment just for that time period. 139 00:08:54,000 --> 00:08:57,400 Speaker 3: Where do they is the money paid if you know 140 00:08:57,400 --> 00:08:59,480 Speaker 3: the grant mindes it paid by check or direct deposit 141 00:08:59,559 --> 00:09:01,920 Speaker 3: or how did these cameras getting sent to them? They 142 00:09:02,000 --> 00:09:03,480 Speaker 3: figure out some sort of scheme there. 143 00:09:05,000 --> 00:09:07,080 Speaker 4: So in the I guess you would call it the 144 00:09:07,120 --> 00:09:12,400 Speaker 4: old days actually really just only pre pandemic. Most of 145 00:09:12,440 --> 00:09:14,360 Speaker 4: the time you would go to the business office, show 146 00:09:14,360 --> 00:09:18,200 Speaker 4: your ID, you would get a check, pay for you know, 147 00:09:18,360 --> 00:09:22,880 Speaker 4: obviously your tuition books, and then obviously some of the 148 00:09:22,920 --> 00:09:26,920 Speaker 4: money is used for expenses, living expenses. Now it goes 149 00:09:27,080 --> 00:09:31,600 Speaker 4: through basically what you mentioned a direct deposit system, and 150 00:09:31,920 --> 00:09:34,920 Speaker 4: there is I guess you could call it maybe a 151 00:09:36,200 --> 00:09:42,679 Speaker 4: intermediate program platform. It's called bank Mobile and the contract 152 00:09:42,679 --> 00:09:46,160 Speaker 4: where I believe approximately one third of the colleges throughout 153 00:09:46,200 --> 00:09:50,560 Speaker 4: the United States. And so once the college receives the 154 00:09:50,640 --> 00:09:54,920 Speaker 4: money and takes their portion from what I have researched 155 00:09:54,960 --> 00:10:00,600 Speaker 4: and read it goes into this bank mobile account than 156 00:10:01,240 --> 00:10:08,000 Speaker 4: the real student or the criminals can access bank Mobile 157 00:10:08,080 --> 00:10:12,080 Speaker 4: and request that money be sent to their own personal 158 00:10:12,120 --> 00:10:15,600 Speaker 4: account and then they have access to the funds. 159 00:10:16,000 --> 00:10:18,760 Speaker 3: Well, Kim, thank you so much for coming on. We're 160 00:10:18,800 --> 00:10:21,000 Speaker 3: glad you heard we were talking about this story and 161 00:10:21,320 --> 00:10:22,360 Speaker 3: we enjoyed talking to you. 162 00:10:22,440 --> 00:10:23,120 Speaker 1: Appreciate it. 163 00:10:23,520 --> 00:10:25,120 Speaker 4: Thank you very much, Appreciate your time. 164 00:10:25,480 --> 00:10:27,880 Speaker 3: Right, it's Kim Rich, a criminal justice instructor at Los 165 00:10:27,880 --> 00:10:31,720 Speaker 3: Angeles is Pierce College. It's in Woodland Hills, and she, 166 00:10:32,800 --> 00:10:35,840 Speaker 3: among many other community college instructors, they have to spend 167 00:10:35,880 --> 00:10:39,000 Speaker 3: some of their time looking for ghost students, fake students 168 00:10:39,080 --> 00:10:41,640 Speaker 3: bots who will apply for financial aid. 169 00:10:41,720 --> 00:10:43,400 Speaker 1: Didn't want to rip off the system. 170 00:10:43,559 --> 00:10:47,280 Speaker 3: Johnny KENKFIAM six forty Live Everywhere the iHeartRadio app. 171 00:10:48,120 --> 00:10:51,480 Speaker 5: You're listening to John and Ken on demand from KFI 172 00:10:51,720 --> 00:10:52,640 Speaker 5: AM six forty. 173 00:10:54,360 --> 00:10:57,400 Speaker 3: Well, they call it the doom loop. This is what's 174 00:10:57,440 --> 00:11:01,680 Speaker 3: happening to some of America's cities. The tax base is 175 00:11:01,840 --> 00:11:04,560 Speaker 3: dwindling and it makes it difficult for the cities to 176 00:11:04,559 --> 00:11:08,640 Speaker 3: collect enough revenues to keep their operations going. What city 177 00:11:08,720 --> 00:11:10,640 Speaker 3: is it? Probably the head of the list on the 178 00:11:10,679 --> 00:11:16,000 Speaker 3: doom Loop San Francisco. Now, these two stories together are unbelievable, 179 00:11:16,040 --> 00:11:17,720 Speaker 3: although if you've been following what's going on. 180 00:11:17,840 --> 00:11:19,280 Speaker 1: Up there, they are believable. 181 00:11:19,840 --> 00:11:22,680 Speaker 3: San Francisco is now going to pay almost twenty million 182 00:11:22,760 --> 00:11:27,080 Speaker 3: dollars to settle a lawsuit over property damages at one 183 00:11:27,120 --> 00:11:30,640 Speaker 3: of the hotels that gave emergency housing to people experiencing 184 00:11:30,679 --> 00:11:34,520 Speaker 3: homelessness during the pandemic. This was the dopey idea of 185 00:11:34,600 --> 00:11:38,280 Speaker 3: Operation Room Key, that putting them in congregate living was 186 00:11:38,400 --> 00:11:40,160 Speaker 3: dangerous shelters. 187 00:11:40,520 --> 00:11:43,400 Speaker 2: It's in their own rooms. This was a newsome idea 188 00:11:43,840 --> 00:11:48,360 Speaker 2: Project room Key. It was but putting insane, drug addicted, 189 00:11:48,480 --> 00:11:53,400 Speaker 2: schizophrenic vagrants into nice hotels. Well, somebody said, the pandemic 190 00:11:53,480 --> 00:11:56,400 Speaker 2: is causing less travels, so therefore these hotels have room. 191 00:11:56,480 --> 00:11:57,400 Speaker 1: This is a perfect match. 192 00:11:57,480 --> 00:12:00,160 Speaker 3: Let's put the homeless right in these hotels and you 193 00:12:00,160 --> 00:12:01,200 Speaker 3: can predict what happened. 194 00:12:01,200 --> 00:12:02,119 Speaker 1: They got destroyed. 195 00:12:02,920 --> 00:12:05,840 Speaker 3: Do you Property damage was extensive at this hotel in 196 00:12:05,880 --> 00:12:07,680 Speaker 3: San Francisco, the Hotel Whitcomb. 197 00:12:08,040 --> 00:12:11,760 Speaker 1: These street people are are uncivilized. 198 00:12:12,200 --> 00:12:15,120 Speaker 3: I remember in San Francisco there were no rules even bought. 199 00:12:15,120 --> 00:12:16,760 Speaker 3: There were stories they were bringing them booze and. 200 00:12:16,720 --> 00:12:18,120 Speaker 1: That is cigarettes and stuff. 201 00:12:18,280 --> 00:12:20,920 Speaker 2: Yes, they had concess they wanted to stay in the room. 202 00:12:21,240 --> 00:12:24,320 Speaker 2: Yes they had room service, and they were trying to 203 00:12:24,440 --> 00:12:28,520 Speaker 2: keep these these basically, you know, they were like wild 204 00:12:28,520 --> 00:12:34,000 Speaker 2: animal humans and so the rooms were their cages and 205 00:12:34,080 --> 00:12:36,559 Speaker 2: to keep the animals happy, they threw in all the 206 00:12:36,679 --> 00:12:39,880 Speaker 2: drugs and booze that the animals needed these. I mean, 207 00:12:39,920 --> 00:12:45,680 Speaker 2: I don't I don't understand why the cities and the state. 208 00:12:45,800 --> 00:12:47,800 Speaker 2: This is all Gavin Newsom this room case. He was 209 00:12:47,840 --> 00:12:51,720 Speaker 2: bragging about the stupid ass idea that this is destruction, 210 00:12:52,280 --> 00:12:54,280 Speaker 2: this is complete destruction of hotels. 211 00:12:54,440 --> 00:12:56,080 Speaker 3: But we said that at the time, if you're going 212 00:12:56,160 --> 00:12:57,839 Speaker 3: to give your hotel over to this, you've got to 213 00:12:57,840 --> 00:12:59,160 Speaker 3: be ready for some real damages. 214 00:12:59,240 --> 00:13:00,000 Speaker 1: And this is what happened. 215 00:13:00,120 --> 00:13:02,760 Speaker 3: And yeah, San Francisco's bill is now over twenty seven 216 00:13:02,840 --> 00:13:05,960 Speaker 3: million dollars for damages to these hotels. They think they 217 00:13:06,040 --> 00:13:07,839 Speaker 3: might be able to get some of it back from 218 00:13:07,880 --> 00:13:09,800 Speaker 3: the FEDS and FEMA money, but nobody's sure. 219 00:13:09,880 --> 00:13:11,760 Speaker 2: You but the point is that you have what was 220 00:13:11,800 --> 00:13:15,720 Speaker 2: the point of allowing the damage and it's and then 221 00:13:15,760 --> 00:13:18,600 Speaker 2: you know, they were trying to save lives, were they 222 00:13:19,120 --> 00:13:20,959 Speaker 2: They thought by having you alone in a room. 223 00:13:21,040 --> 00:13:22,800 Speaker 3: You wouldn't be able to get COVID from somebody else 224 00:13:22,840 --> 00:13:24,360 Speaker 3: in a shelter. Really was the theory. 225 00:13:24,400 --> 00:13:25,640 Speaker 1: Really they cared that much. 226 00:13:26,840 --> 00:13:31,439 Speaker 2: I have a hard time believing that these these people 227 00:13:31,760 --> 00:13:34,760 Speaker 2: actually care who lives or dies, because you know, as 228 00:13:34,800 --> 00:13:37,280 Speaker 2: we talk about in La there's two thousand people dying 229 00:13:37,320 --> 00:13:40,520 Speaker 2: in the streets. So I don't think they care about 230 00:13:40,520 --> 00:13:43,600 Speaker 2: who lives or dies. I think this was some sort 231 00:13:43,640 --> 00:13:46,600 Speaker 2: of a gravy trained program that people could profit from 232 00:13:47,240 --> 00:13:50,760 Speaker 2: under the guise of we're trying to prevent unnecessary deaths. 233 00:13:51,040 --> 00:13:51,720 Speaker 1: No you're not. 234 00:13:52,320 --> 00:13:55,679 Speaker 2: You let thousands die every year in the street. Why 235 00:13:55,960 --> 00:13:57,360 Speaker 2: did you care in this case? 236 00:13:57,760 --> 00:14:00,040 Speaker 1: I don't. I just flat out don't believe them. And 237 00:14:00,200 --> 00:14:01,080 Speaker 1: he told you the problem. 238 00:14:01,120 --> 00:14:03,079 Speaker 2: So much money pouring in and they won't even get 239 00:14:03,120 --> 00:14:04,880 Speaker 2: even more money now from the Feds. 240 00:14:05,280 --> 00:14:08,280 Speaker 3: We saw this with this downtown La skied Row Housing Trust. 241 00:14:08,840 --> 00:14:10,600 Speaker 3: If you're going to try to put homeless people and 242 00:14:10,679 --> 00:14:13,000 Speaker 3: quote more permanent housing or even hotel rooms, and you 243 00:14:13,040 --> 00:14:14,960 Speaker 3: have no rules, they're going to get destroyed. 244 00:14:15,600 --> 00:14:19,400 Speaker 2: That's what put that organization, that nonprofit bankrupt, And it 245 00:14:19,440 --> 00:14:20,200 Speaker 2: was obvious. 246 00:14:19,920 --> 00:14:20,800 Speaker 1: They would get destroyed. 247 00:14:20,880 --> 00:14:24,640 Speaker 2: Right, Why doesn't the average person take a vagrant in, 248 00:14:25,560 --> 00:14:28,000 Speaker 2: because you assume the vagrant's going to destroy the house 249 00:14:29,480 --> 00:14:31,000 Speaker 2: or steal you blind, right. 250 00:14:31,320 --> 00:14:32,280 Speaker 1: You just assume that. 251 00:14:32,040 --> 00:14:35,240 Speaker 2: That's the number one reason that Eric Adams program's not 252 00:14:35,280 --> 00:14:37,320 Speaker 2: going to work in New York to take in vagrants. 253 00:14:38,000 --> 00:14:40,160 Speaker 2: And it's the reason that nobody ever bit here in 254 00:14:40,280 --> 00:14:43,680 Speaker 2: La when Garcetti was selling that. Number one fear is, oh, 255 00:14:43,720 --> 00:14:45,520 Speaker 2: I let this guy in, He's going to wreck the place, 256 00:14:46,120 --> 00:14:46,840 Speaker 2: and you'd be right. 257 00:14:46,880 --> 00:14:48,480 Speaker 1: That's what they do now. 258 00:14:48,520 --> 00:14:51,000 Speaker 3: The other story that puts San Francisco in the doom 259 00:14:51,040 --> 00:14:57,160 Speaker 3: loop is that a number of owners of big buildings 260 00:14:57,200 --> 00:15:01,280 Speaker 3: in downtown San Francisco, including hotels, have stopped making payments 261 00:15:01,320 --> 00:15:05,120 Speaker 3: on their mortgages. The San Francisco Chronicle says the owners 262 00:15:05,120 --> 00:15:08,640 Speaker 3: of thirteen downtown office buildings, hotels and other major commercial 263 00:15:08,720 --> 00:15:12,320 Speaker 3: properties have just missed loan payments. The expression they use 264 00:15:12,360 --> 00:15:14,480 Speaker 3: in the businesses, they're walking away. 265 00:15:15,240 --> 00:15:15,760 Speaker 1: How about that. 266 00:15:16,760 --> 00:15:19,960 Speaker 3: The combined market value of these properties is unclear, but 267 00:15:20,040 --> 00:15:23,880 Speaker 3: it could be at around three point three billion dollars. 268 00:15:24,640 --> 00:15:29,040 Speaker 2: Is that just current value or the old value? I 269 00:15:29,040 --> 00:15:32,480 Speaker 2: think it's the current value. Yeah, Oh, I see, because 270 00:15:32,480 --> 00:15:35,360 Speaker 2: all these have dropped in value. Well, yeah, because nobody 271 00:15:35,480 --> 00:15:39,320 Speaker 2: wants to buy these buildings. Otherwise these companies would have 272 00:15:39,360 --> 00:15:42,760 Speaker 2: sold them. Yeah, there's no market to buy them. 273 00:15:43,240 --> 00:15:46,080 Speaker 3: And of course the list of reasons is remote work, layoffs, 274 00:15:46,120 --> 00:15:50,160 Speaker 3: departing companies, and the growing list of shuttering major retail stores. 275 00:15:51,000 --> 00:15:52,840 Speaker 3: But some of that, of course, has to do with 276 00:15:52,920 --> 00:15:54,720 Speaker 3: the crime and homeless problem in that city. 277 00:15:54,720 --> 00:15:57,600 Speaker 2: It starts with crime and homeless problem. That's why people. 278 00:15:57,720 --> 00:16:00,880 Speaker 2: One of the reasons people found remote works so satisfying 279 00:16:01,560 --> 00:16:04,960 Speaker 2: is they didn't have vagrants screaming at them and threatening them. 280 00:16:05,440 --> 00:16:08,280 Speaker 2: They didn't have to play poop hopscotch walking to the restaurant. 281 00:16:08,280 --> 00:16:10,440 Speaker 2: They didn't have to be bothered by the crazy people 282 00:16:10,640 --> 00:16:12,720 Speaker 2: when they were having an outdoor lunch. 283 00:16:13,720 --> 00:16:18,200 Speaker 3: The possible hit to San Francisco's annual taxes could be 284 00:16:18,240 --> 00:16:21,280 Speaker 3: two hundred million dollars less that the city would have 285 00:16:21,720 --> 00:16:23,080 Speaker 3: as they'd get from these buildings. 286 00:16:23,120 --> 00:16:25,240 Speaker 1: So here's the deal they ended up making. 287 00:16:26,040 --> 00:16:32,000 Speaker 2: These idiot politicians figured they could suck out millions of 288 00:16:32,040 --> 00:16:35,720 Speaker 2: dollars billions of dollars in a vagrant aid homeless aid 289 00:16:35,840 --> 00:16:38,800 Speaker 2: right and give it to all their buddies who run 290 00:16:38,920 --> 00:16:45,800 Speaker 2: the fake nonprofits. Nobody, very few got lifted out of homelessness. 291 00:16:45,920 --> 00:16:48,440 Speaker 2: Very few got off the drugs and the alcohol. None 292 00:16:48,440 --> 00:16:50,800 Speaker 2: of them had their mental illness cured. A lot of 293 00:16:50,880 --> 00:16:53,920 Speaker 2: them died in the street anyway. But everybody was making money. 294 00:16:55,600 --> 00:16:59,160 Speaker 2: And now on the back end, the tax base has 295 00:16:59,200 --> 00:17:02,000 Speaker 2: been destroyed. So they made a little money up front, 296 00:17:02,480 --> 00:17:04,600 Speaker 2: but on the back end, because I assume that these 297 00:17:04,640 --> 00:17:07,920 Speaker 2: nonprofits are funneling money back to the politicians who voted 298 00:17:07,920 --> 00:17:09,919 Speaker 2: for these policies, there's got to be a lot of 299 00:17:10,000 --> 00:17:12,479 Speaker 2: under the table kickbacks, right, There's got to be something 300 00:17:12,480 --> 00:17:15,119 Speaker 2: in it to these politicians, because again, clearly these are 301 00:17:15,160 --> 00:17:17,720 Speaker 2: all failures. So why keep doing it? Now you've destroyed 302 00:17:17,720 --> 00:17:20,480 Speaker 2: the city. Now people have moved out, they don't work 303 00:17:20,480 --> 00:17:23,600 Speaker 2: there anymore. The build the owners of the big office 304 00:17:23,600 --> 00:17:26,320 Speaker 2: buildings and hotels are giving up and walking away, and 305 00:17:26,320 --> 00:17:28,800 Speaker 2: now your tax pace is down. What two hundred million? 306 00:17:28,840 --> 00:17:32,040 Speaker 3: He said, Yes, two hundred million is the hit. Possibly, 307 00:17:32,240 --> 00:17:36,320 Speaker 3: So what was the upside of this experiment? There wasn't, no, Yeah, 308 00:17:36,359 --> 00:17:38,480 Speaker 3: and they're still dying in the streets. You still didn't 309 00:17:38,480 --> 00:17:41,920 Speaker 3: get anybody off the streets and into homes. And when 310 00:17:41,920 --> 00:17:45,720 Speaker 3: you put them in somewhere, they destroyed the building. Wow, 311 00:17:46,520 --> 00:17:50,159 Speaker 3: you know, something. If you had reincarnated Hitler and he 312 00:17:50,240 --> 00:17:53,199 Speaker 3: had bombed San Francisco, you wouldn't have much of a 313 00:17:53,240 --> 00:17:54,000 Speaker 3: worse outcome. 314 00:17:54,440 --> 00:17:55,600 Speaker 1: All right, we got more coming up. 315 00:17:55,640 --> 00:17:58,640 Speaker 3: Johnny KENKFI AM six forty were live everywhere. 316 00:17:58,640 --> 00:18:00,000 Speaker 1: It's the iHeartRadio app. 317 00:18:01,119 --> 00:18:04,480 Speaker 5: You're listening to John and Ken on demand from KFI 318 00:18:04,720 --> 00:18:05,639 Speaker 5: AM six forty. 319 00:18:07,440 --> 00:18:10,040 Speaker 2: We're on the air at four o'clock and then after 320 00:18:10,080 --> 00:18:13,480 Speaker 2: four o'clock the podcast is posted Johnny Ken on demand 321 00:18:13,520 --> 00:18:16,720 Speaker 2: so you can review this afternoon's programming. 322 00:18:17,440 --> 00:18:20,200 Speaker 3: You can also connect to the Moistline using that app. 323 00:18:20,320 --> 00:18:23,280 Speaker 3: There is a microphone icon John and Ken's Moistline. You 324 00:18:23,280 --> 00:18:25,800 Speaker 3: can leave a message. You can call the toll free 325 00:18:25,880 --> 00:18:28,800 Speaker 3: number and drop us a message one eight seven seven 326 00:18:28,840 --> 00:18:32,120 Speaker 3: moist eighty six. One eight seven seven six six four 327 00:18:32,280 --> 00:18:35,800 Speaker 3: seven eight eighty six will play calls during this hour 328 00:18:35,880 --> 00:18:38,840 Speaker 3: three o'clock hour on Friday. Well, we have an update 329 00:18:38,920 --> 00:18:43,960 Speaker 3: John on the migrant flight story. The Florida Division of 330 00:18:44,040 --> 00:18:48,359 Speaker 3: Emergency Management has confirmed they're the ones that arranged for 331 00:18:48,400 --> 00:18:51,359 Speaker 3: the two flights that flew a total of thirty six 332 00:18:51,400 --> 00:18:53,760 Speaker 3: migrants to Sacramento, California. 333 00:18:54,680 --> 00:18:55,800 Speaker 1: They shared a video. 334 00:18:56,240 --> 00:18:58,120 Speaker 3: They claim show some of the migrants that were flown 335 00:18:58,119 --> 00:19:00,320 Speaker 3: to Sacramento, signing paperwork. 336 00:19:00,040 --> 00:19:01,560 Speaker 1: And volunteering to go on the flight. 337 00:19:02,400 --> 00:19:04,640 Speaker 3: One part of the video, man is seen saying in Spanish, 338 00:19:04,880 --> 00:19:06,080 Speaker 3: we met it to California. 339 00:19:06,160 --> 00:19:07,880 Speaker 1: Thank God, very thankful to God. Yeah. 340 00:19:08,160 --> 00:19:11,920 Speaker 2: So so Newsom and Rob Bonta were lying the same 341 00:19:11,960 --> 00:19:15,000 Speaker 2: way the people from Martha's Vineyard were lying. There was 342 00:19:15,160 --> 00:19:19,000 Speaker 2: nobody deceived. They said to the migrants, Hey, you want 343 00:19:19,000 --> 00:19:22,000 Speaker 2: to go to California, and they said, sure we Gavin 344 00:19:22,040 --> 00:19:24,040 Speaker 2: Newsom says that's the best place in the world. 345 00:19:24,880 --> 00:19:25,920 Speaker 1: Right, He's the. 346 00:19:25,800 --> 00:19:27,920 Speaker 2: One, this is what's so funny. He's the one who's 347 00:19:27,920 --> 00:19:31,960 Speaker 2: been saying that Florida is terrible, right, that that California 348 00:19:32,000 --> 00:19:36,760 Speaker 2: is far better than Florida. Okay, Florida, Texas is terrible too. 349 00:19:36,800 --> 00:19:39,840 Speaker 2: California's better than Texas, better than Forda. Okay, you're right, 350 00:19:39,880 --> 00:19:44,840 Speaker 2: you're absolutely right. And then you start flying people to California. 351 00:19:45,200 --> 00:19:49,960 Speaker 2: These people, you think Desantas inhabit are idiots. They know 352 00:19:50,080 --> 00:19:52,480 Speaker 2: you have to tell the people where they're going. They 353 00:19:52,520 --> 00:19:54,360 Speaker 2: know you have to get them to sign a release. 354 00:19:54,880 --> 00:19:58,400 Speaker 2: What do you think see? And Newsom knows this too, 355 00:19:58,440 --> 00:20:02,080 Speaker 2: and so does Bonta. They were lying they're just trying 356 00:20:02,080 --> 00:20:04,760 Speaker 2: to stir up the crazies on their side, trying to 357 00:20:04,960 --> 00:20:06,200 Speaker 2: grab cheap publicity. 358 00:20:06,880 --> 00:20:10,399 Speaker 3: The rest of the statement from the Florida Department of 359 00:20:10,560 --> 00:20:14,200 Speaker 3: Emergency Management, This sentence is a hoot from left leaning 360 00:20:14,240 --> 00:20:17,840 Speaker 3: mayors in El Paso, Texas and Denver, Colorado. The relocation 361 00:20:17,960 --> 00:20:20,640 Speaker 3: of those illegally crossing the United States border is not new, 362 00:20:20,880 --> 00:20:24,080 Speaker 3: but suddenly when Florida sends illegal aliens to a sanctuary city, 363 00:20:24,359 --> 00:20:26,439 Speaker 3: it's false imprisonment and kidnapping. 364 00:20:26,920 --> 00:20:28,040 Speaker 1: That's a pretty good, you. 365 00:20:28,000 --> 00:20:30,800 Speaker 2: Know, response to you know what, Obama flew people around. 366 00:20:31,320 --> 00:20:35,320 Speaker 2: Biden has flown people around. There is nothing illegal about 367 00:20:35,400 --> 00:20:40,359 Speaker 2: flying illegal aliens around. Obviously they can't all stay in 368 00:20:40,400 --> 00:20:42,600 Speaker 2: El Paso. Of course, they're going to have to be 369 00:20:42,640 --> 00:20:45,879 Speaker 2: moved around if you're not going to deport them. And 370 00:20:46,280 --> 00:20:49,720 Speaker 2: California declared themselves a sanctuary, as did New York and 371 00:20:50,000 --> 00:20:55,560 Speaker 2: Washington and Chicago. Too bad, So newsoon blown off his 372 00:20:55,640 --> 00:20:59,600 Speaker 2: mouth about kidnapping chargers. He's completely full of horsemen or 373 00:20:59,760 --> 00:21:03,320 Speaker 2: right to his eyeballs, and he knows it too. 374 00:21:03,600 --> 00:21:05,280 Speaker 1: But everybody in the meeting goes, oh, look at that. 375 00:21:05,280 --> 00:21:07,159 Speaker 1: This is gonna be kidnapping chargeable look at that. Well, 376 00:21:07,200 --> 00:21:07,880 Speaker 1: this really is a. 377 00:21:07,800 --> 00:21:11,560 Speaker 2: Disgrace, Like, no, it's not. Florida has the right to say, no, 378 00:21:11,640 --> 00:21:14,000 Speaker 2: you're not coming here. We don't have to be part 379 00:21:14,000 --> 00:21:16,679 Speaker 2: of this illegal scam that you're pulling. We're not going 380 00:21:16,760 --> 00:21:20,280 Speaker 2: to accept it, and so we'll pay to move them elsewhere. 381 00:21:22,520 --> 00:21:27,200 Speaker 3: Meanwhile, police in La are investigating. And this is a 382 00:21:27,240 --> 00:21:32,080 Speaker 3: new twist on the shoplifting robbery front. A string of 383 00:21:32,200 --> 00:21:34,879 Speaker 3: five armed robberies at taco trucks. 384 00:21:34,960 --> 00:21:35,920 Speaker 1: Within one week. 385 00:21:36,400 --> 00:21:38,400 Speaker 3: And when you think about it, I wouldn't be surprised 386 00:21:38,400 --> 00:21:41,560 Speaker 3: if a lot of their businesses cash. So it might 387 00:21:41,600 --> 00:21:43,840 Speaker 3: be a pretty easy steal just to drive up quickly 388 00:21:43,880 --> 00:21:46,240 Speaker 3: to a taco truck and put a gun in somebody's 389 00:21:46,280 --> 00:21:48,840 Speaker 3: face and say hand it over. And some of these 390 00:21:49,280 --> 00:21:52,280 Speaker 3: robberies are happening after midnight because sometimes they park these 391 00:21:52,280 --> 00:21:54,439 Speaker 3: trucks because people like a late night taco. 392 00:21:54,480 --> 00:21:58,159 Speaker 1: As they're driving by, they see that no arrests have 393 00:21:58,240 --> 00:21:59,920 Speaker 1: been made in a dish. 394 00:22:00,200 --> 00:22:02,040 Speaker 3: There was a shooting at a taco truck that didn't 395 00:22:02,080 --> 00:22:07,440 Speaker 3: drew two men early yesterday morning. Well, the suspects carried 396 00:22:07,440 --> 00:22:08,919 Speaker 3: out two more robberies after that. 397 00:22:09,720 --> 00:22:13,840 Speaker 1: Why not, Why shouldn't Why shouldn't all these. 398 00:22:15,400 --> 00:22:17,920 Speaker 2: All these criminals do all the stealing they want, all 399 00:22:17,920 --> 00:22:19,080 Speaker 2: the shoplifting they want. 400 00:22:19,400 --> 00:22:21,520 Speaker 1: There's no downside here now. 401 00:22:22,800 --> 00:22:26,520 Speaker 2: And basically, you know, Karen Bass and the city council 402 00:22:26,680 --> 00:22:29,040 Speaker 2: give all the bad guys permission to do all the 403 00:22:29,080 --> 00:22:29,960 Speaker 2: thievery they want. 404 00:22:30,760 --> 00:22:31,760 Speaker 1: There's no prosecution. 405 00:22:31,880 --> 00:22:36,199 Speaker 2: Gascon's not prosecuting lapds, barely even investigating this stuff. 406 00:22:36,480 --> 00:22:39,080 Speaker 1: So go ahead, go take it. It's yours. 407 00:22:40,359 --> 00:22:44,200 Speaker 3: And in a story where well, this is a break 408 00:22:44,200 --> 00:22:48,080 Speaker 3: from the show, I feel sorry for the migrants. This 409 00:22:48,240 --> 00:22:50,840 Speaker 3: occurred outside of Sofi Stadium. I of course go to 410 00:22:50,920 --> 00:22:53,480 Speaker 3: RAM games, and when you come out of a RAM game, 411 00:22:53,520 --> 00:22:55,240 Speaker 3: as you might come out of any sporting event. In 412 00:22:55,280 --> 00:23:00,679 Speaker 3: Los Angeles concert, there is a some times it seems 413 00:23:00,680 --> 00:23:04,160 Speaker 3: like a thousand people selling hot dogs. It's the little 414 00:23:04,200 --> 00:23:07,000 Speaker 3: carts John that they have. Well, the bacon wrap hot dogs. 415 00:23:07,000 --> 00:23:10,040 Speaker 3: I don't buy any. 416 00:23:10,640 --> 00:23:13,280 Speaker 1: You don't get the runs afterwards. 417 00:23:13,359 --> 00:23:16,119 Speaker 2: No, it's a bacon wrap hot dog, some grilled like 418 00:23:16,200 --> 00:23:18,439 Speaker 2: bell peppers, onions, mustard. 419 00:23:19,720 --> 00:23:22,080 Speaker 1: I just figure you're gonna get the runs. Sometimes you 420 00:23:22,200 --> 00:23:24,280 Speaker 1: have to sort of to get around them. 421 00:23:24,320 --> 00:23:26,120 Speaker 3: You have to, really because if there's already the mob 422 00:23:26,119 --> 00:23:28,359 Speaker 3: of people coming out but sometimes there's so many carts 423 00:23:28,400 --> 00:23:29,919 Speaker 3: it's like I have to dodge them all. 424 00:23:29,840 --> 00:23:30,280 Speaker 1: You can get. 425 00:23:30,920 --> 00:23:35,240 Speaker 3: The reason I felt bad is because some worker wearing 426 00:23:35,280 --> 00:23:39,800 Speaker 3: a Sofi Stadium guest experience went out there and confronted. 427 00:23:39,280 --> 00:23:41,720 Speaker 1: Some of the vendors and he flipped over two of 428 00:23:41,760 --> 00:23:45,600 Speaker 1: the carts. The hot dogs went flying. That's just me and. 429 00:23:45,560 --> 00:23:48,760 Speaker 3: A twelve year old girl was supposedly might suffered miner injuries. 430 00:23:49,200 --> 00:23:52,160 Speaker 3: She was watching the cart for her parents. He got fired, So. 431 00:23:52,480 --> 00:23:53,760 Speaker 1: That's the update on the story. 432 00:23:53,960 --> 00:23:56,000 Speaker 3: That he doesn't work for so far, but for a 433 00:23:56,040 --> 00:23:58,680 Speaker 3: third party vendor, and they released a statement. I mean, 434 00:23:58,720 --> 00:24:00,639 Speaker 3: you can be upset with this if you want, but 435 00:24:00,680 --> 00:24:01,600 Speaker 3: don't don't. 436 00:24:01,640 --> 00:24:06,160 Speaker 1: Throw their hot dogs over. That's really that's dirty. That's 437 00:24:06,240 --> 00:24:08,240 Speaker 1: what we call the a hole rule. You don't do that. 438 00:24:09,040 --> 00:24:11,159 Speaker 3: I guess he was mad because some would complain that 439 00:24:11,200 --> 00:24:14,640 Speaker 3: they're taking away business from the expensive hot dogs inside 440 00:24:14,680 --> 00:24:15,400 Speaker 3: the stadium. 441 00:24:15,920 --> 00:24:18,080 Speaker 1: Yeah maybe, yeah, that was his problem. 442 00:24:18,080 --> 00:24:19,879 Speaker 2: I don't know what his problem was. But what's the 443 00:24:19,960 --> 00:24:21,160 Speaker 2: Dodger Stadium hot dog? 444 00:24:21,560 --> 00:24:26,480 Speaker 1: Now? Like, I don't know, I think, yeah, it's gonna 445 00:24:26,520 --> 00:24:31,200 Speaker 1: say nine dollars. Yeah? Is that a foot long? Yes? Okay, 446 00:24:31,320 --> 00:24:33,080 Speaker 1: I know I paid. I know, I paid thirty six 447 00:24:33,119 --> 00:24:35,760 Speaker 1: dollars for two beers on Sunday. Yeah, the beers are. 448 00:24:36,119 --> 00:24:39,320 Speaker 1: They're big though, right big? How many ounces? Yeah, but 449 00:24:39,359 --> 00:24:43,280 Speaker 1: they're eighteen dollars each. They are I couldn't like. 450 00:24:43,440 --> 00:24:45,320 Speaker 3: Well, that's just to pay for the convenience to have 451 00:24:45,359 --> 00:24:48,080 Speaker 3: them right there, you know, because you can't bring that 452 00:24:48,080 --> 00:24:48,520 Speaker 3: stuff in. 453 00:24:48,600 --> 00:24:51,080 Speaker 2: I got a new Dodger stadium strategy. I eat a 454 00:24:51,119 --> 00:24:53,520 Speaker 2: lot right before we leave the house, and then that's it. 455 00:24:54,359 --> 00:24:55,960 Speaker 3: I know, but remember that used to be part of 456 00:24:56,000 --> 00:24:58,840 Speaker 3: the thrill of going to a game, picking out the. 457 00:24:58,680 --> 00:24:59,679 Speaker 1: Hot dog while you sit there. 458 00:25:00,560 --> 00:25:03,000 Speaker 3: As I say to people, food at the beach always 459 00:25:03,000 --> 00:25:04,960 Speaker 3: tastes better, and it seems like food at a ballgame, well, 460 00:25:04,960 --> 00:25:06,080 Speaker 3: it usually just tastes better. 461 00:25:06,119 --> 00:25:08,119 Speaker 1: Not at they're charging eighteen dollars for a beer. 462 00:25:08,680 --> 00:25:12,359 Speaker 2: No, I think above and beyond the food inflation we've seen. 463 00:25:12,400 --> 00:25:14,520 Speaker 1: That is abusive. That is thievery. 464 00:25:15,280 --> 00:25:17,200 Speaker 3: All right, we got more coming up. Johnny Ken KFI 465 00:25:17,280 --> 00:25:20,000 Speaker 3: AM six forty. We're live everywhere the iHeartRadio app. 466 00:25:20,720 --> 00:25:24,080 Speaker 5: You're listening to John and Ken on demand from KFI 467 00:25:24,320 --> 00:25:28,480 Speaker 5: AM six forty. 468 00:25:28,600 --> 00:25:32,359 Speaker 3: All right, from the world of stupid people, Remember a 469 00:25:32,400 --> 00:25:34,360 Speaker 3: few weeks ago, we did the story of the man 470 00:25:34,359 --> 00:25:38,919 Speaker 3: at Yellowstone who tried to help the baby bison reunited 471 00:25:39,000 --> 00:25:43,520 Speaker 3: with its pack of bisons, and well, they euthanized the 472 00:25:43,560 --> 00:25:44,520 Speaker 3: poor baby bison. 473 00:25:45,320 --> 00:25:46,680 Speaker 1: It happened again. 474 00:25:47,240 --> 00:25:49,920 Speaker 3: Over the Memorial Day weekend at Yellowstone, but it wasn't 475 00:25:49,920 --> 00:25:54,400 Speaker 3: a bison this time. Apparently a couple of visitors decided 476 00:25:54,440 --> 00:25:56,040 Speaker 3: to play uber with a baby elk. 477 00:25:57,520 --> 00:26:02,600 Speaker 1: They put the baby elk in their car, gave it 478 00:26:02,640 --> 00:26:03,119 Speaker 1: a ride. 479 00:26:03,800 --> 00:26:06,240 Speaker 3: To give it a ride, they were driving in the park, 480 00:26:06,640 --> 00:26:08,719 Speaker 3: they saw the animal, and they brought it to the 481 00:26:08,760 --> 00:26:11,000 Speaker 3: West Yellowstone, Montana Police Department. 482 00:26:12,600 --> 00:26:14,840 Speaker 1: The calf then ran into the forest. They don't know 483 00:26:14,840 --> 00:26:18,280 Speaker 1: what happened to me. I drunk with these people. Why 484 00:26:18,359 --> 00:26:21,800 Speaker 1: would you possibly pick up a baby elk? Was it hitchhiking? 485 00:26:22,560 --> 00:26:24,240 Speaker 1: What is it? Two college guys? 486 00:26:25,040 --> 00:26:27,600 Speaker 3: It doesn't say. It's just a couple of tourists. It 487 00:26:27,600 --> 00:26:32,600 Speaker 3: doesn't say man, woman doesn't some kind of stimulant. When 488 00:26:32,640 --> 00:26:34,679 Speaker 3: an animal is near a camp'side, a trail, a boardwalk, 489 00:26:34,720 --> 00:26:36,400 Speaker 3: a parking lot of road, they're in the developed area. 490 00:26:36,520 --> 00:26:37,560 Speaker 1: Leave it alone, give it space. 491 00:26:37,640 --> 00:26:41,240 Speaker 3: An elk, a baby elk, doesn't it el caf horns 492 00:26:42,440 --> 00:26:46,000 Speaker 3: baby elk might not antlers something. Yes, I'm looking at 493 00:26:46,040 --> 00:26:49,399 Speaker 3: two bull elk and they have big antlers. Yeah, but 494 00:26:49,480 --> 00:26:52,200 Speaker 3: a baby elk might not have much growing there yet. 495 00:26:52,600 --> 00:26:55,720 Speaker 3: Oh yeah, So I would imagine they're going to find 496 00:26:55,720 --> 00:26:57,640 Speaker 3: these people too, just like they went after the guy 497 00:26:57,640 --> 00:26:59,520 Speaker 3: who picked up the baby bison. 498 00:27:00,080 --> 00:27:04,120 Speaker 2: Well, did these guys hear about the baby bison story 499 00:27:04,320 --> 00:27:05,720 Speaker 2: and that inspired. 500 00:27:05,240 --> 00:27:08,560 Speaker 3: Them instead of inspired them in an opposite way to 501 00:27:08,640 --> 00:27:10,960 Speaker 3: leave the animal alone the planet? 502 00:27:11,080 --> 00:27:13,119 Speaker 1: They thought the elk was lost, so they drove it to. 503 00:27:13,160 --> 00:27:16,679 Speaker 3: The police department. The planet is filled with morons. The 504 00:27:16,720 --> 00:27:18,720 Speaker 3: species is largely not rational. 505 00:27:19,560 --> 00:27:21,920 Speaker 2: It's more likely that people are going to do copycat 506 00:27:21,960 --> 00:27:23,080 Speaker 2: stuff all summer now. 507 00:27:24,000 --> 00:27:26,840 Speaker 3: And the other idiot in the news was a, well, 508 00:27:26,960 --> 00:27:28,960 Speaker 3: everybody knows that sometimes you lose your mind. 509 00:27:29,040 --> 00:27:31,200 Speaker 1: John chasing a foul ball in the stands. 510 00:27:30,880 --> 00:27:36,000 Speaker 2: Yeah, that happens, right. Well, this apparently wasn't a major 511 00:27:36,080 --> 00:27:39,879 Speaker 2: league game. It was the it looks like college the. 512 00:27:39,760 --> 00:27:43,000 Speaker 3: Campbell Fighting Campbell's taking on the North Carolina State Wolfpack. 513 00:27:43,680 --> 00:27:46,639 Speaker 3: A player hit a ball into the right field pavilion. 514 00:27:47,840 --> 00:27:53,399 Speaker 3: A dad was holding his young child chased after the 515 00:27:53,440 --> 00:27:57,399 Speaker 3: foul ball, and then he tripped and fell and he 516 00:27:57,440 --> 00:27:58,840 Speaker 3: squashed the baby's head. 517 00:27:59,359 --> 00:28:04,639 Speaker 1: Oh no, yeah, yeah, that's what happened. What happened? 518 00:28:04,680 --> 00:28:06,600 Speaker 3: A young boy in his arms. He attempted to field 519 00:28:06,600 --> 00:28:09,399 Speaker 3: the ball on one bounce, but missed the catch. During 520 00:28:09,440 --> 00:28:11,880 Speaker 3: the second attempt, he attempted to grab the moving ball 521 00:28:11,920 --> 00:28:15,320 Speaker 3: but lost his footing and the child smacked his head 522 00:28:15,320 --> 00:28:15,840 Speaker 3: on the pavement. 523 00:28:16,000 --> 00:28:18,400 Speaker 1: Oh no, that's what happened. 524 00:28:19,240 --> 00:28:21,600 Speaker 3: So he really wanted that ball so much he forgot 525 00:28:21,600 --> 00:28:22,560 Speaker 3: that he's carrying a child. 526 00:28:22,560 --> 00:28:23,600 Speaker 1: It looks like a toddler. 527 00:28:23,640 --> 00:28:27,680 Speaker 2: He shouldn't be allowed to reproduce. Really, we got it. 528 00:28:27,800 --> 00:28:30,480 Speaker 2: It should be the end of the line for that genetic. 529 00:28:31,320 --> 00:28:32,720 Speaker 2: That genetic code was the. 530 00:28:33,160 --> 00:28:37,000 Speaker 3: College game foul ball. I don't see. It's not like, 531 00:28:37,080 --> 00:28:39,160 Speaker 3: you know, you're in al and you want to show 532 00:28:39,160 --> 00:28:41,160 Speaker 3: people this ball was hit by a star. 533 00:28:42,160 --> 00:28:44,440 Speaker 2: This is not poolholes a seven hundred home right here, 534 00:28:45,600 --> 00:28:50,040 Speaker 2: exactly right. It's just a foul ball a college player. 535 00:28:50,120 --> 00:28:53,920 Speaker 2: I've seen guys at major league games on television. I've 536 00:28:53,960 --> 00:28:57,480 Speaker 2: seen these scenes where guys are are trying to catch 537 00:28:57,480 --> 00:28:59,959 Speaker 2: a ball while holding their toddler or their baby at 538 00:29:00,080 --> 00:29:04,160 Speaker 2: the same time, and they're leaning over a railing right 539 00:29:05,160 --> 00:29:06,920 Speaker 2: or you know, they've got the baby and a beer 540 00:29:07,080 --> 00:29:08,920 Speaker 2: and they're trying to catch the ball. 541 00:29:09,640 --> 00:29:12,720 Speaker 3: We don't know the condition of the boy. People were 542 00:29:12,760 --> 00:29:15,320 Speaker 3: looking at this is one of these viral videos and 543 00:29:15,360 --> 00:29:17,160 Speaker 3: all sorts of comments that the child needs to be 544 00:29:17,160 --> 00:29:19,800 Speaker 3: taken to a hospital. But it looks pretty clear from 545 00:29:19,800 --> 00:29:23,080 Speaker 3: the video that the child's head does hit the pavement 546 00:29:24,520 --> 00:29:25,440 Speaker 3: pretty solidly. 547 00:29:26,640 --> 00:29:28,480 Speaker 1: Conways here, that kid will be fine. 548 00:29:29,400 --> 00:29:31,600 Speaker 6: You know, we all did stupid things with our kids, 549 00:29:32,240 --> 00:29:35,240 Speaker 6: you know, throwing them up in the r way, catching them. 550 00:29:35,240 --> 00:29:36,960 Speaker 1: What did what did? What did you do to your job? 551 00:29:38,440 --> 00:29:40,400 Speaker 6: She was in a stroller and I pushed her down 552 00:29:40,680 --> 00:29:43,240 Speaker 6: a skateboard ramp, you know, it was like a two 553 00:29:43,240 --> 00:29:46,000 Speaker 6: foot ramp and it went up the other ramp and 554 00:29:46,040 --> 00:29:48,800 Speaker 6: it flipped over under her head. But she was like 555 00:29:48,880 --> 00:29:51,280 Speaker 6: two at the time, so she was fine. 556 00:29:51,920 --> 00:29:53,640 Speaker 1: Are there any stories you tell while you're still on 557 00:29:53,680 --> 00:29:54,680 Speaker 1: our show? Are they really true? 558 00:29:55,560 --> 00:29:55,680 Speaker 4: No? 559 00:29:55,680 --> 00:29:57,080 Speaker 1: No, No, that's that's a true story. 560 00:29:57,120 --> 00:29:59,040 Speaker 6: As a matter of fact, every time I passed that 561 00:29:59,120 --> 00:30:00,520 Speaker 6: skate park, I'm minded. 562 00:30:02,680 --> 00:30:03,760 Speaker 1: Well, I had a moment similar. 563 00:30:04,080 --> 00:30:06,120 Speaker 2: Yeah, I had my four year old and two year 564 00:30:06,160 --> 00:30:09,600 Speaker 2: old at somebody's house top of a steep driveway, right, 565 00:30:10,240 --> 00:30:13,680 Speaker 2: and my four year old wanted his peanut butter sandwich. 566 00:30:13,680 --> 00:30:16,120 Speaker 2: They got left behind, so I left them alone at 567 00:30:16,120 --> 00:30:19,880 Speaker 2: the top of the driveway. Actually, I parked the four 568 00:30:19,960 --> 00:30:22,080 Speaker 2: year old behind the car. 569 00:30:22,160 --> 00:30:22,680 Speaker 1: Good for you. 570 00:30:22,960 --> 00:30:25,840 Speaker 2: He found his way out while I'm getting the sandwich. 571 00:30:26,080 --> 00:30:28,000 Speaker 2: He went up to the two year old and pushed 572 00:30:28,000 --> 00:30:33,120 Speaker 2: the two year old down. The rumbled into the street 573 00:30:33,160 --> 00:30:39,160 Speaker 2: the opposing curve and tipped over on its side. If 574 00:30:39,160 --> 00:30:42,520 Speaker 2: a car came by, you would have a different life. Yeah, yeah, 575 00:30:42,680 --> 00:30:45,240 Speaker 2: all right. My kid in the street was laughing. That's 576 00:30:45,520 --> 00:30:48,000 Speaker 2: the most fun riding had. A lot of things happened, 577 00:30:48,040 --> 00:30:48,360 Speaker 2: all right. 578 00:30:48,360 --> 00:30:50,360 Speaker 6: Speaking of guys that have fallen on their head before 579 00:30:50,400 --> 00:30:52,040 Speaker 6: when there were kids, Mark Thompson. 580 00:30:51,760 --> 00:30:54,120 Speaker 7: Yes, I did have a similar enginent with my brother 581 00:30:54,160 --> 00:30:57,120 Speaker 7: in the car, believe it or not, Honest to God, 582 00:30:57,840 --> 00:31:00,800 Speaker 7: my mom turned I'll never forget, I know, remember the 583 00:31:00,840 --> 00:31:04,680 Speaker 7: exact intersection in Washington, d C. My mom she turns right, 584 00:31:04,720 --> 00:31:07,480 Speaker 7: and I look out in the rear because I see 585 00:31:07,480 --> 00:31:10,040 Speaker 7: that the door is swung open. My little brother is 586 00:31:10,560 --> 00:31:14,240 Speaker 7: rolling around in the streets a major intersection, major intersection, 587 00:31:15,040 --> 00:31:17,640 Speaker 7: crazy and he's so cute, just sitting there with his 588 00:31:17,720 --> 00:31:20,400 Speaker 7: little glasses. He had two years old, but he wore glasses, 589 00:31:20,880 --> 00:31:23,800 Speaker 7: and I remember they were all askew. Yeah, mad I 590 00:31:23,920 --> 00:31:26,160 Speaker 7: was blaming. I was blamed, of course I was on that. 591 00:31:26,280 --> 00:31:28,080 Speaker 6: Remember where this was there was a barbecue store off 592 00:31:28,160 --> 00:31:30,640 Speaker 6: Kester and Ventura. Yeah, with six kids in the in 593 00:31:30,680 --> 00:31:33,200 Speaker 6: the Mercury station wag my mom pulls up to get 594 00:31:33,240 --> 00:31:34,320 Speaker 6: something at the barbecue store. 595 00:31:34,360 --> 00:31:35,840 Speaker 1: She forgots to put put it in park. 596 00:31:36,320 --> 00:31:39,360 Speaker 6: So that station wagon with six kids in it backed 597 00:31:39,360 --> 00:31:48,880 Speaker 6: out across Ventura Boulevard and into a nursery across Ventura Boulevard. 598 00:31:49,760 --> 00:31:53,040 Speaker 1: Wow. She really cheated a lot of fate. 599 00:31:53,160 --> 00:31:57,160 Speaker 6: And for the first time, six kids were really quiet. 600 00:32:00,080 --> 00:32:01,720 Speaker 1: When that was on the move. We're like, I don't 601 00:32:01,720 --> 00:32:05,280 Speaker 1: know if we're gonna make it. Six kids. 602 00:32:05,440 --> 00:32:09,400 Speaker 6: Wow, boom across the street, boom right into a nursery. 603 00:32:09,480 --> 00:32:14,959 Speaker 1: Man, right into a fire station. That's wild. Those are 604 00:32:15,000 --> 00:32:17,120 Speaker 1: the good old day when you could do that. Now 605 00:32:17,120 --> 00:32:19,640 Speaker 1: they take those kids away from here. That's right, that's right, 606 00:32:19,720 --> 00:32:21,640 Speaker 1: we all made it. I say that to that story 607 00:32:21,640 --> 00:32:22,080 Speaker 1: to my wife. 608 00:32:22,120 --> 00:32:24,720 Speaker 6: She goes, not everybody, and she has a horrible story 609 00:32:24,720 --> 00:32:27,400 Speaker 6: about across the boulevard that didn't make it. 610 00:32:30,440 --> 00:32:34,520 Speaker 2: Yeah, they always have the story. Well, yeah, I like 611 00:32:34,600 --> 00:32:36,280 Speaker 2: the guy get down fast with those. 612 00:32:36,480 --> 00:32:38,280 Speaker 6: I like the guy who's throwing his kid up and 613 00:32:38,320 --> 00:32:40,640 Speaker 6: catching him, and then he forgets if he got forgot 614 00:32:40,680 --> 00:32:43,040 Speaker 6: that he had a ceiling fan. 615 00:32:43,880 --> 00:32:49,800 Speaker 1: God, oh God, that's gonna that's an emergency room visit. 616 00:32:50,040 --> 00:32:53,200 Speaker 2: Yeah, and then you got explaining the emergency room that 617 00:32:53,240 --> 00:32:54,040 Speaker 2: it was an accident. 618 00:32:54,040 --> 00:32:56,400 Speaker 1: You didn't beat the kid up. I just threw into fan. 619 00:32:58,680 --> 00:33:00,600 Speaker 1: Got shutting bad. Wait a minute, I shay threw him 620 00:33:00,600 --> 00:33:01,120 Speaker 1: into a fan. 621 00:33:01,240 --> 00:33:08,280 Speaker 2: I mean, all right, com Way, he dogg. 622 00:33:09,120 --> 00:33:11,280 Speaker 1: I just picture, you know, Ken putting his head down. 623 00:33:12,720 --> 00:33:14,680 Speaker 7: Can you see Conway going in the emergency room. First, 624 00:33:14,760 --> 00:33:16,160 Speaker 7: he'd lead with ding dong. 625 00:33:16,280 --> 00:33:23,640 Speaker 1: That's what tom Way Thompson, Let's go, let's do. 626 00:33:25,880 --> 00:33:27,680 Speaker 3: Hey, you've been listening to the John and Ken Show. 627 00:33:27,680 --> 00:33:29,680 Speaker 3: You can always hear us live on k f I 628 00:33:29,800 --> 00:33:32,880 Speaker 3: A M six forty one pm to four pm every 629 00:33:32,920 --> 00:33:36,160 Speaker 3: Monday through Friday, and of course anytime on demand on 630 00:33:36,200 --> 00:33:37,440 Speaker 3: the iHeartRadio app