1 00:00:00,640 --> 00:00:03,160 Speaker 1: Can't. I am six forty. You're listening to the John 2 00:00:03,240 --> 00:00:08,119 Speaker 1: Cobel podcast on the iHeartRadio app. We have way more 3 00:00:08,520 --> 00:00:11,880 Speaker 1: material than showed today, so we're gonna jump right into this. 4 00:00:13,320 --> 00:00:17,640 Speaker 1: We have Brad Garrett, who has been with us a 5 00:00:17,720 --> 00:00:21,000 Speaker 1: number of times. He's the ABC News Crime and Terrorism analyst. 6 00:00:21,400 --> 00:00:23,600 Speaker 1: Two things we're going to talk about. First thing, Nick Reiner, 7 00:00:23,640 --> 00:00:28,040 Speaker 1: and then this Brown University shooting, which has some breaking 8 00:00:28,120 --> 00:00:32,640 Speaker 1: news in just the last hour. But first talk about 9 00:00:33,280 --> 00:00:37,240 Speaker 1: Nick Reiner, who killed, as you know, Rob and Michelle Rider, 10 00:00:37,760 --> 00:00:44,080 Speaker 1: his parents in Brentwood. And it's fairly rare. Children killing 11 00:00:44,080 --> 00:00:47,239 Speaker 1: their parents is only one to two percent of the 12 00:00:47,280 --> 00:00:50,440 Speaker 1: annual hobbits homicides, and killing both parents at the same 13 00:00:50,479 --> 00:00:54,160 Speaker 1: time is even smaller. Let's get let's get Brad Garrett on. Brad, 14 00:00:54,160 --> 00:00:55,880 Speaker 1: how are you good? John? 15 00:00:56,080 --> 00:00:56,400 Speaker 2: Thanks? 16 00:00:58,000 --> 00:01:01,760 Speaker 1: This is really rare, and this is stunts and scares 17 00:01:01,880 --> 00:01:05,319 Speaker 1: anybody who's a parent, anybody who has a troubled kid 18 00:01:05,400 --> 00:01:10,960 Speaker 1: or a kid who has drugs or emotional disorders. It's like, oh, oh, 19 00:01:11,280 --> 00:01:14,920 Speaker 1: what signs ought to be ought? I be looking for 20 00:01:14,959 --> 00:01:20,520 Speaker 1: what set him off? Talk about the possible background triggers 21 00:01:21,000 --> 00:01:22,839 Speaker 1: that would cause Nick ryder to do what he did. 22 00:01:24,120 --> 00:01:27,160 Speaker 2: So I think you have to start with longevity here 23 00:01:27,280 --> 00:01:32,000 Speaker 2: of addiction, which, again by his own words and what 24 00:01:32,040 --> 00:01:35,960 Speaker 2: we've been we've worn publicly, is that he's been addicted 25 00:01:36,040 --> 00:01:39,800 Speaker 2: since he was a young teenager. I think he's even 26 00:01:39,800 --> 00:01:43,120 Speaker 2: stated publicly. I think by fourteen he'd been to a 27 00:01:43,200 --> 00:01:46,600 Speaker 2: number of rehabs. I mean, that's a big statement for 28 00:01:46,680 --> 00:01:49,560 Speaker 2: a fourteen year old to say. But you know, if 29 00:01:49,600 --> 00:01:53,360 Speaker 2: you jump ahead that he's now thirty two, So you 30 00:01:53,480 --> 00:01:58,720 Speaker 2: now have sixteen years so to speak of using drugs 31 00:01:58,720 --> 00:02:01,600 Speaker 2: off and on about John what that does do the 32 00:02:01,680 --> 00:02:04,720 Speaker 2: chemistry and your brain, and you know it's going to 33 00:02:04,800 --> 00:02:08,720 Speaker 2: add to whatever troubles you may already have as far 34 00:02:08,840 --> 00:02:14,639 Speaker 2: as depression, anxiety, feel like you don't fit in, and 35 00:02:14,840 --> 00:02:16,960 Speaker 2: now you're addicted to drugs that you just sort of 36 00:02:16,960 --> 00:02:20,440 Speaker 2: get lost in. And you've got you from a wealthy 37 00:02:20,480 --> 00:02:25,600 Speaker 2: family that can afford to support you, which you know 38 00:02:25,760 --> 00:02:29,080 Speaker 2: can be good news and bad news. So as you 39 00:02:29,280 --> 00:02:34,120 Speaker 2: progress through fifteen years, things are going to further If 40 00:02:34,160 --> 00:02:38,000 Speaker 2: you don't change your behavior, things are going to further deteriorate. 41 00:02:38,200 --> 00:02:42,080 Speaker 2: You're going to become more anxious, more depressed, more angry, 42 00:02:44,000 --> 00:02:46,760 Speaker 2: more hostile, wanting to argue all the time because you're 43 00:02:47,160 --> 00:02:50,120 Speaker 2: you're basically trying to get somebody else to give you 44 00:02:50,200 --> 00:02:53,440 Speaker 2: whatever you want when you want it. And you know, 45 00:02:53,520 --> 00:02:55,519 Speaker 2: most of the literature would suggest you have to set 46 00:02:55,560 --> 00:02:58,680 Speaker 2: firm boundaries with kids. This is not a criticism of 47 00:02:58,720 --> 00:03:01,880 Speaker 2: anybody who was involved in raising Nick. I'm only saying 48 00:03:02,000 --> 00:03:04,800 Speaker 2: is you have to try some of those things, and 49 00:03:04,840 --> 00:03:09,120 Speaker 2: I'm sure they did. But the problem is that, you know, 50 00:03:09,400 --> 00:03:11,760 Speaker 2: I worked with drug addicts. I mean I doubled a 51 00:03:11,760 --> 00:03:13,880 Speaker 2: lot of when I was in the FBI. Before the FBI, 52 00:03:13,880 --> 00:03:16,480 Speaker 2: I was a probation parole officer and I had a 53 00:03:16,560 --> 00:03:20,760 Speaker 2: number of addicted clients, paroles, et cetera that I had 54 00:03:20,760 --> 00:03:23,919 Speaker 2: to deal with. And they're just a nightmare. And they're 55 00:03:23,919 --> 00:03:28,079 Speaker 2: also a nightmare for their families because they're so dependent, 56 00:03:28,160 --> 00:03:31,919 Speaker 2: they're so needy, and they're not nice about it. And 57 00:03:31,960 --> 00:03:36,040 Speaker 2: so as time went on, he's now, you know, thirty two, 58 00:03:36,960 --> 00:03:39,840 Speaker 2: and you know, he doesn't have a job, he has 59 00:03:39,880 --> 00:03:43,640 Speaker 2: no employment history, he has no education, he has really 60 00:03:43,800 --> 00:03:47,000 Speaker 2: you know, he is really, really a deep hole for himself. 61 00:03:47,480 --> 00:03:50,360 Speaker 2: And if you add to that super successful parents and 62 00:03:50,440 --> 00:03:54,440 Speaker 2: grand and grandfather that it even makes him, I presume, 63 00:03:54,920 --> 00:03:58,880 Speaker 2: again based on his own words, you know, feel really inadequate. 64 00:03:59,680 --> 00:04:02,760 Speaker 2: But what do you do? But you focus that anger 65 00:04:02,760 --> 00:04:05,960 Speaker 2: and rage on the two people who have supported you 66 00:04:06,000 --> 00:04:08,520 Speaker 2: and cared for you more than anybody else, which is 67 00:04:08,520 --> 00:04:12,280 Speaker 2: his parents. Something set him off that led to him 68 00:04:12,320 --> 00:04:14,520 Speaker 2: committing this, You know, it's kind of beyond that are 69 00:04:14,520 --> 00:04:20,760 Speaker 2: horrendous homicide most kids until their parents shoot them. He 70 00:04:20,920 --> 00:04:24,880 Speaker 2: chose to stab them, which is highly personal, takes longer. 71 00:04:25,200 --> 00:04:28,320 Speaker 2: You're literally looking eyeball to eyeball. So the level of 72 00:04:28,440 --> 00:04:32,160 Speaker 2: rage that he had when this occurred is off the charts. 73 00:04:33,240 --> 00:04:36,720 Speaker 2: And then there's video of what hours later, at four 74 00:04:36,760 --> 00:04:39,719 Speaker 2: o'clock in the morning, by a soda at a gas station. 75 00:04:40,520 --> 00:04:42,320 Speaker 2: So it gives you an idea of sort of maybe 76 00:04:42,320 --> 00:04:46,240 Speaker 2: the level of antisocialness in his personality that's going on, 77 00:04:46,440 --> 00:04:50,080 Speaker 2: which is totally common with drug addicted people. And you 78 00:04:50,120 --> 00:04:53,839 Speaker 2: could be born that way, well, you could certainly be 79 00:04:53,920 --> 00:04:57,320 Speaker 2: born to be prone to addiction. There is there is 80 00:04:57,360 --> 00:05:01,880 Speaker 2: no doubt. 81 00:05:00,040 --> 00:05:04,320 Speaker 1: Severe antisocial personality. I mean, there's no doubt. 82 00:05:04,360 --> 00:05:11,279 Speaker 2: Yeah, that's what whoever stabbed these two clearly was that. Yeah, 83 00:05:11,360 --> 00:05:13,440 Speaker 2: obviously Nick has been charged with that, but you know, 84 00:05:13,560 --> 00:05:15,479 Speaker 2: we don't know. You know, we don't know the fact 85 00:05:15,520 --> 00:05:16,080 Speaker 2: set right. 86 00:05:17,240 --> 00:05:21,359 Speaker 1: Uh And and and they're also I always thought, because 87 00:05:21,360 --> 00:05:23,839 Speaker 1: you know, we have this homeless problem, right, so we 88 00:05:23,920 --> 00:05:26,840 Speaker 1: see crazy people in the streets all the time, is 89 00:05:26,880 --> 00:05:29,920 Speaker 1: that they have some kind of mental disorder. They treat 90 00:05:29,960 --> 00:05:33,359 Speaker 1: it with drugs which makes it worse, or they're on drugs, 91 00:05:33,360 --> 00:05:36,120 Speaker 1: and that create over time, that creates a mental disorder. 92 00:05:36,200 --> 00:05:39,719 Speaker 1: Like you said, Nick Reiner, taking drugs for over fifteen years, 93 00:05:39,760 --> 00:05:41,080 Speaker 1: that's going to cause brain damage. 94 00:05:41,080 --> 00:05:44,440 Speaker 2: I would think, well, right, and it's going to affect 95 00:05:44,520 --> 00:05:49,080 Speaker 2: chemically your brain to even reduce further your impulse control. 96 00:05:49,760 --> 00:05:51,919 Speaker 2: And you know you're going to jump from anxiety to 97 00:05:51,960 --> 00:05:55,360 Speaker 2: depression to feeling inadequate to then being mad and then 98 00:05:55,560 --> 00:05:58,239 Speaker 2: being super mad when you don't get what you want 99 00:05:58,480 --> 00:06:01,960 Speaker 2: because of whatever you've bended, ended money, whatever it might be. 100 00:06:03,400 --> 00:06:09,000 Speaker 1: And if his parents did try everything for you know, 101 00:06:09,040 --> 00:06:13,240 Speaker 1: two decades, why does he turn on them so viciously? 102 00:06:13,320 --> 00:06:15,599 Speaker 1: What is the trigger for that? I mean, they're the 103 00:06:15,600 --> 00:06:18,400 Speaker 1: only ones really on his side the entire time. I'm 104 00:06:18,440 --> 00:06:21,920 Speaker 1: sure everybody else in life drifted away or ran away. 105 00:06:22,000 --> 00:06:25,640 Speaker 1: Why why why kill them? 106 00:06:25,720 --> 00:06:30,120 Speaker 2: Because they're not giving him what he wants and something happened, 107 00:06:30,120 --> 00:06:33,560 Speaker 2: whether that's supposedly a party that they were at on 108 00:06:33,640 --> 00:06:37,159 Speaker 2: Saturday night, Did something trigger him there to the level 109 00:06:37,200 --> 00:06:39,359 Speaker 2: of rage? You know? Did he feel rejected? Did he 110 00:06:39,400 --> 00:06:42,360 Speaker 2: feel inadequate? Probably, He's around a lot of high profile, 111 00:06:42,880 --> 00:06:46,200 Speaker 2: well known people at this party, you know. And then 112 00:06:46,200 --> 00:06:48,320 Speaker 2: he was again I don't know if it's true or not, 113 00:06:48,400 --> 00:06:52,200 Speaker 2: then he was asked to leave. So is that the trigger? 114 00:06:52,279 --> 00:06:52,920 Speaker 2: I have no idea. 115 00:06:53,000 --> 00:06:56,960 Speaker 1: Of course I see it. I'm feeling like a huge loser, 116 00:06:57,440 --> 00:07:01,520 Speaker 1: not only within the family, but in the larger social circle. 117 00:07:01,600 --> 00:07:05,320 Speaker 1: I mean, most of the people that his parents dealt 118 00:07:05,320 --> 00:07:08,880 Speaker 1: with had his friends and associates were also really successful. 119 00:07:09,160 --> 00:07:12,160 Speaker 2: Exactly so, and that pushes him further away, and it 120 00:07:12,200 --> 00:07:14,640 Speaker 2: makes him more angry. And you really have to go 121 00:07:14,720 --> 00:07:17,280 Speaker 2: back to what we talked about earlier, is the antisocial 122 00:07:17,360 --> 00:07:20,760 Speaker 2: aspect of the personality of the person who committed this crime. 123 00:07:21,440 --> 00:07:23,560 Speaker 1: All right, let me just spend a couple of minutes 124 00:07:23,560 --> 00:07:27,240 Speaker 1: on this Brown University shooting. There were two killed and 125 00:07:27,760 --> 00:07:32,760 Speaker 1: nine injured. Then on Monday and MIT professor was shot, 126 00:07:33,480 --> 00:07:38,320 Speaker 1: and just in the last hour, ABC has reported that 127 00:07:38,360 --> 00:07:40,400 Speaker 1: there may be a link between the two shootings, that 128 00:07:40,520 --> 00:07:42,680 Speaker 1: might be the same guy and they think they have 129 00:07:42,760 --> 00:07:45,720 Speaker 1: an ID on him. You know anything about this? I 130 00:07:45,760 --> 00:07:46,840 Speaker 1: know the news just broke. 131 00:07:48,640 --> 00:07:52,440 Speaker 2: That's what I know also, And so you have to 132 00:07:52,440 --> 00:07:54,960 Speaker 2: think about this. I'm going to sort of put you 133 00:07:55,000 --> 00:07:58,640 Speaker 2: in the investigator agent mode here. What do they have 134 00:07:59,440 --> 00:08:04,000 Speaker 2: at I T that has gotten them onto somebody? I 135 00:08:04,000 --> 00:08:06,560 Speaker 2: think they have a car description, I assume that was 136 00:08:06,560 --> 00:08:08,760 Speaker 2: pulled off a camera. Do they have a tag number. 137 00:08:09,960 --> 00:08:15,120 Speaker 2: Have they been successful with shellcasings to get DNA finger fingerprints, 138 00:08:15,120 --> 00:08:19,200 Speaker 2: et cetera. Have they been able to match up the casings, 139 00:08:19,240 --> 00:08:21,360 Speaker 2: because you know, when you fire a weapon that leads 140 00:08:21,440 --> 00:08:24,160 Speaker 2: the unique markings on the end of the shellcasing. Have 141 00:08:24,280 --> 00:08:27,360 Speaker 2: they matched the two in other words, matched Providence to 142 00:08:27,600 --> 00:08:30,559 Speaker 2: MI T. So they got they have some comfort level 143 00:08:31,000 --> 00:08:35,000 Speaker 2: that whoever they're looking for as we speak is connected 144 00:08:35,000 --> 00:08:38,480 Speaker 2: to both shootings. So this is the break you always 145 00:08:38,559 --> 00:08:41,480 Speaker 2: look for in a case. So I guarantee you that 146 00:08:41,640 --> 00:08:44,880 Speaker 2: every bit of their energy is going into you know 147 00:08:44,880 --> 00:08:47,000 Speaker 2: what they can pull up on this guy. Where could 148 00:08:47,040 --> 00:08:50,280 Speaker 2: he be? Obviously there'd be a lookout for whatever car 149 00:08:50,360 --> 00:08:52,800 Speaker 2: he was in. If he's smart, he's gotten rid of 150 00:08:52,840 --> 00:08:56,400 Speaker 2: that car, But who knows, and he will see. I 151 00:08:56,440 --> 00:09:01,079 Speaker 2: mean this may have some resolution soon. Hopefully that's the case. 152 00:09:01,520 --> 00:09:03,240 Speaker 1: All right, Brad Garrett, thank you for coming on. 153 00:09:04,240 --> 00:09:05,680 Speaker 2: You're welcome to take care John. 154 00:09:05,559 --> 00:09:09,240 Speaker 1: And he's ABC New, ABC News Crime and Terrorism Analyst 155 00:09:09,840 --> 00:09:15,920 Speaker 1: and uh yeah, Monday night. MIT Professor n No I 156 00:09:15,960 --> 00:09:20,760 Speaker 1: get his name right. I don't know how to pronounce this. 157 00:09:21,840 --> 00:09:27,719 Speaker 1: Luririo found shot in his home in a suburb of Boston, Brookline, 158 00:09:28,320 --> 00:09:32,240 Speaker 1: and he died Tuesday at the hospital. So you have 159 00:09:32,280 --> 00:09:36,880 Speaker 1: two dead at Brown and now MIT Professor dead at 160 00:09:36,920 --> 00:09:41,679 Speaker 1: his home and they think it's the same guy. And 161 00:09:41,760 --> 00:09:44,480 Speaker 1: you heard Brad go through some of the clues that 162 00:09:44,840 --> 00:09:49,320 Speaker 1: could lead a lead investigators to think that. When we 163 00:09:49,400 --> 00:09:57,880 Speaker 1: come back, Brad talked a lot about Nick Reiner's mental disorder, 164 00:09:58,800 --> 00:10:03,480 Speaker 1: mental illness, perhaps born with an anti social personality disorder. 165 00:10:04,200 --> 00:10:07,439 Speaker 1: There are more stories coming out about him growing up 166 00:10:07,600 --> 00:10:10,240 Speaker 1: and the way he acted, and I think this is 167 00:10:11,120 --> 00:10:17,760 Speaker 1: the bad seed theory. It looks I think he was 168 00:10:17,840 --> 00:10:22,640 Speaker 1: born pretty crazy and probably took drugs to quiet all 169 00:10:22,679 --> 00:10:25,040 Speaker 1: the demons. We'll talk about it we come back. 170 00:10:25,880 --> 00:10:30,240 Speaker 3: You're listening to John Cobelt on demand from KFI AM 171 00:10:30,240 --> 00:10:31,079 Speaker 3: six forty. 172 00:10:32,720 --> 00:10:37,320 Speaker 1: John Cobelt Show moistline Friday, that's tomorrow eight seven seven 173 00:10:37,360 --> 00:10:40,760 Speaker 1: Moist Dady six eight seven seven Moist Dady six. Or 174 00:10:40,880 --> 00:10:44,640 Speaker 1: use the talkback feature on the iHeartRadio app and Friday 175 00:10:44,760 --> 00:10:46,920 Speaker 1: three twenty and three fifty. We're going to play back 176 00:10:47,440 --> 00:10:51,320 Speaker 1: everything that's going on inside of you right now. You 177 00:10:51,360 --> 00:10:53,640 Speaker 1: can just let it out, and if you make the cut, 178 00:10:53,760 --> 00:10:57,760 Speaker 1: then the whole KFI world will hear it. In fact, 179 00:10:57,840 --> 00:11:02,280 Speaker 1: people around the globe will hear on the iHeartRadio app. 180 00:11:02,520 --> 00:11:06,920 Speaker 1: So this is your moment, let it out. We'll continue here. 181 00:11:06,960 --> 00:11:10,200 Speaker 1: We had Brad Garrett on last segment from ABC News, 182 00:11:10,200 --> 00:11:14,320 Speaker 1: the crime and terrorism analysts, talking about the psychological profiles 183 00:11:14,320 --> 00:11:19,800 Speaker 1: of people who kill their parents. There's three categories. Either 184 00:11:19,840 --> 00:11:26,880 Speaker 1: severely abused kids who lash out, or you're born with 185 00:11:26,960 --> 00:11:32,920 Speaker 1: an anti personality disorder, anti an anti social personality disorder. 186 00:11:34,080 --> 00:11:37,280 Speaker 1: You just come out and you're an angry guy. You 187 00:11:37,320 --> 00:11:43,079 Speaker 1: don't like people, the world bugs you. You you don't 188 00:11:43,280 --> 00:11:46,240 Speaker 1: you don't make friends, you don't like your family, you 189 00:11:46,280 --> 00:11:47,000 Speaker 1: don't get along. 190 00:11:47,760 --> 00:11:47,840 Speaker 4: That. 191 00:11:48,280 --> 00:11:51,160 Speaker 1: Then another category, which is which is somewhat different, and 192 00:11:51,200 --> 00:11:54,760 Speaker 1: that's somebody with with severely mentally ill you know, that 193 00:11:54,800 --> 00:11:58,079 Speaker 1: could be something like schizophrenia. For example, by polar disorder 194 00:11:58,720 --> 00:12:03,720 Speaker 1: and other related mental illness, which is different from just 195 00:12:03,800 --> 00:12:07,400 Speaker 1: being born with a maybe a violent, aggressive personality and 196 00:12:07,440 --> 00:12:12,240 Speaker 1: you just don't like anything or anybody, and you're always resistant, 197 00:12:12,240 --> 00:12:15,200 Speaker 1: You're always making a fuss, always a ruckus. It's not 198 00:12:15,320 --> 00:12:20,720 Speaker 1: the same as, you know, being schizophrenic. Obviously. Now the 199 00:12:20,760 --> 00:12:26,920 Speaker 1: stories are coming out as friends who knew the Reiner 200 00:12:27,000 --> 00:12:33,160 Speaker 1: family and they knew, you know, just countless people. New 201 00:12:33,240 --> 00:12:36,840 Speaker 1: York Post says that Nick Reiner threw terrifying tantrums as 202 00:12:36,840 --> 00:12:42,000 Speaker 1: a child, and then as he started using drugs, they escalated. 203 00:12:45,120 --> 00:12:50,439 Speaker 1: A lifelong friend told The Daily Mail that Nick Reiner 204 00:12:50,559 --> 00:12:53,440 Speaker 1: would get so violent he had to be physically held 205 00:12:53,480 --> 00:12:57,560 Speaker 1: back by his father. Many of the family fights, he said, quote, 206 00:12:57,559 --> 00:13:00,000 Speaker 1: had to do with Nick just doing something self destructive 207 00:13:00,360 --> 00:13:03,720 Speaker 1: and fighting back when they tried to help him. I 208 00:13:03,880 --> 00:13:06,120 Speaker 1: was over there. It must have been the early two thousands, 209 00:13:06,160 --> 00:13:08,600 Speaker 1: because he was about eleven and he was throwing the 210 00:13:08,600 --> 00:13:11,679 Speaker 1: biggest tantrum and Rob Rder just had him in a 211 00:13:11,720 --> 00:13:17,600 Speaker 1: bear hud trying to restrain him. The tantrum was over nothing, 212 00:13:18,559 --> 00:13:21,280 Speaker 1: but he had so much anger in his eyes. It 213 00:13:21,360 --> 00:13:24,600 Speaker 1: was just terrifying. And this happened a lot, and he 214 00:13:24,679 --> 00:13:27,360 Speaker 1: never outgrew it. He had tantrums in his twenties. Now 215 00:13:27,600 --> 00:13:33,640 Speaker 1: you'll imagine, you know, and you could always judge. You 216 00:13:33,679 --> 00:13:36,319 Speaker 1: can always judge when a child maybe comes out as 217 00:13:36,320 --> 00:13:39,720 Speaker 1: a bad seed. When you look a look at the siblings, right, 218 00:13:41,640 --> 00:13:45,720 Speaker 1: obviously the brother and sister are much more peaceful people. 219 00:13:46,960 --> 00:13:52,200 Speaker 1: But then Nick comes out and it's crazy land. And 220 00:13:52,240 --> 00:13:56,400 Speaker 1: it was always crazy land. And there's no way to 221 00:13:56,480 --> 00:14:01,520 Speaker 1: fix a personality disorder if you're born with it. And 222 00:14:01,559 --> 00:14:04,440 Speaker 1: because there's so much noise in your head and you 223 00:14:04,720 --> 00:14:09,360 Speaker 1: feel so much discomfort and aggression, you try to numb yourself. 224 00:14:11,000 --> 00:14:15,199 Speaker 1: You try to anesthetize yourself so you don't feel it, 225 00:14:16,040 --> 00:14:18,480 Speaker 1: so maybe you don't act as crazy. And then you 226 00:14:18,559 --> 00:14:22,640 Speaker 1: go down that road, and the personality disorder feeds the 227 00:14:22,680 --> 00:14:26,200 Speaker 1: drug addiction. The drug addition aggravates the personality disorder. And 228 00:14:26,240 --> 00:14:30,440 Speaker 1: the one thing that people never want to confront because 229 00:14:30,440 --> 00:14:35,200 Speaker 1: we have very much a free drug society. Leave people alone, 230 00:14:35,280 --> 00:14:37,440 Speaker 1: let them do what they want to do. This stuff 231 00:14:37,480 --> 00:14:42,560 Speaker 1: causes brain damage. There's increasing studies that I'm reading that 232 00:14:42,640 --> 00:14:48,440 Speaker 1: even smoking too much pot causes brain damage. Cocaine, you know, 233 00:14:48,880 --> 00:14:51,760 Speaker 1: the prescription drugs are a whole other matter. A lot 234 00:14:51,800 --> 00:14:55,680 Speaker 1: of those prescription drugs way over prescribed by doctors who 235 00:14:55,960 --> 00:14:59,760 Speaker 1: I assume are taking kickbacks the way they took kickbacks 236 00:15:00,400 --> 00:15:02,920 Speaker 1: when they were handing out opioids like candy back in 237 00:15:02,960 --> 00:15:06,080 Speaker 1: the nineties. And if you want to see how that 238 00:15:06,080 --> 00:15:10,120 Speaker 1: dirty business works, there was a series on Hulu a 239 00:15:10,120 --> 00:15:14,640 Speaker 1: few years ago. It was called Dope Sick, and it 240 00:15:14,680 --> 00:15:17,480 Speaker 1: showed you what the pharmaceutical industry was like, what the 241 00:15:17,480 --> 00:15:20,520 Speaker 1: medical industry was like, where doctors would be taken on 242 00:15:20,920 --> 00:15:25,880 Speaker 1: junkets for weekends in big cities or beautiful places, and 243 00:15:25,920 --> 00:15:28,360 Speaker 1: they could eat and drink all they want, and they 244 00:15:28,360 --> 00:15:30,880 Speaker 1: had a lot of pretty girls available and all they 245 00:15:30,920 --> 00:15:37,680 Speaker 1: had to do is keep prescribing the opioids. And I 246 00:15:37,720 --> 00:15:41,000 Speaker 1: always noticed I noticed this years ago, but Jerr, we 247 00:15:41,080 --> 00:15:45,440 Speaker 1: were sitting in a doctor's office when the pharmaceutical representative 248 00:15:45,800 --> 00:15:50,120 Speaker 1: showed up, and it was almost always a beautiful young woman. 249 00:15:52,000 --> 00:15:53,920 Speaker 1: I used to start cracking up when they walked in. 250 00:15:54,080 --> 00:15:59,560 Speaker 1: I mean, I mean seriously stunning, and she'd be dressed 251 00:15:59,560 --> 00:16:03,120 Speaker 1: profession only, but she'd be carrying a rolling suitcase with 252 00:16:03,160 --> 00:16:06,360 Speaker 1: her with samples, and then she and the doctor would 253 00:16:06,440 --> 00:16:10,440 Speaker 1: disappear for a while. It's like, how is it because 254 00:16:10,440 --> 00:16:13,240 Speaker 1: that's not a glamorous job, right, I mean, you expect 255 00:16:13,040 --> 00:16:16,200 Speaker 1: actresses and models to look like this. How is it 256 00:16:16,280 --> 00:16:20,080 Speaker 1: that that this is a glamorous jow job possibility for 257 00:16:20,080 --> 00:16:23,760 Speaker 1: for beautiful young women to roll a suitcase filled with 258 00:16:23,880 --> 00:16:29,800 Speaker 1: drug samples. But that was part of the marketing that 259 00:16:29,880 --> 00:16:33,680 Speaker 1: the pharmaceutical companies use to uh get doctors in a 260 00:16:33,680 --> 00:16:37,880 Speaker 1: good mood at least to look at the pretty girls. 261 00:16:38,480 --> 00:16:42,200 Speaker 1: It's it's it's really really a dirty, ugly, gross business. 262 00:16:42,320 --> 00:16:47,240 Speaker 1: And the furnace pharmaceutical companies intentionally want to addict people 263 00:16:47,800 --> 00:16:55,040 Speaker 1: to their to their prescription medicines, and that's why so 264 00:16:55,080 --> 00:17:00,120 Speaker 1: many people are on some you know, some form of 265 00:17:00,440 --> 00:17:04,000 Speaker 1: tranquilizers or some form of uppers or downers or anti 266 00:17:04,040 --> 00:17:07,840 Speaker 1: depressive medicine. They pushed that hard. You see the ads 267 00:17:07,880 --> 00:17:11,560 Speaker 1: on television. It's just another big racket and they make 268 00:17:11,600 --> 00:17:14,159 Speaker 1: billions and people are very susceptible. They think, well, you know, 269 00:17:14,240 --> 00:17:17,320 Speaker 1: the doctor prescribed and I'm not feeling good, and you know, 270 00:17:17,400 --> 00:17:20,640 Speaker 1: I don't know how to make myself feel better. It's 271 00:17:23,640 --> 00:17:30,040 Speaker 1: and then the story about eight years ago, Rob Reiner's 272 00:17:30,080 --> 00:17:34,240 Speaker 1: son destroyed his parents' house. People magazine as this the 273 00:17:35,080 --> 00:17:39,720 Speaker 1: guest house that he lived in frequently, and this is 274 00:17:39,800 --> 00:17:45,840 Speaker 1: from Nick's own testimony. There's a podcast called Dopey about 275 00:17:46,760 --> 00:17:51,680 Speaker 1: dealing with drug addiction twenty eighteen, and Nick said there 276 00:17:51,720 --> 00:17:54,399 Speaker 1: was a moment the year before, in twenty seventeen that 277 00:17:54,440 --> 00:17:58,200 Speaker 1: he was quote totally spun out on uppers and destroyed 278 00:17:58,200 --> 00:18:01,040 Speaker 1: his parents' guest house. And one of the hosts asked 279 00:18:01,080 --> 00:18:05,560 Speaker 1: him about his time sequestered in the guest house, and 280 00:18:05,880 --> 00:18:09,000 Speaker 1: Nick said, yeah, I wrecked it while on meth. I 281 00:18:09,040 --> 00:18:11,720 Speaker 1: went ten rounds with my guest house. It's not much 282 00:18:11,720 --> 00:18:14,159 Speaker 1: of a story. I got totally spun out on uppers. 283 00:18:14,200 --> 00:18:16,600 Speaker 1: I think it was coke and something else, and I 284 00:18:16,680 --> 00:18:19,560 Speaker 1: was up for days on end. I started punching different 285 00:18:19,600 --> 00:18:22,880 Speaker 1: things in the guest house. I started with the TV, 286 00:18:22,960 --> 00:18:25,000 Speaker 1: and then I went over to the lamp, and eventually 287 00:18:25,080 --> 00:18:28,440 Speaker 1: everything in the guest house got wrecked. He doesn't remember 288 00:18:28,480 --> 00:18:31,280 Speaker 1: if he heard himself. There wasn't any logic at all 289 00:18:31,280 --> 00:18:34,359 Speaker 1: that you can remember. He was just in a crazy state, 290 00:18:34,840 --> 00:18:37,000 Speaker 1: and his parents had told him he had to go 291 00:18:37,119 --> 00:18:39,760 Speaker 1: before that happened, so I guess they wanted him tossed 292 00:18:40,160 --> 00:18:42,720 Speaker 1: from the guest house, and that was his reaction, which 293 00:18:42,760 --> 00:18:45,000 Speaker 1: is the reaction of a two year old. Apparently he 294 00:18:45,040 --> 00:18:46,920 Speaker 1: didn't come out of the two year old tantrum phase. 295 00:18:48,400 --> 00:18:52,440 Speaker 3: You're listening to John Cobel's on demand from KFI A 296 00:18:52,760 --> 00:18:53,320 Speaker 3: six forty. 297 00:18:54,480 --> 00:18:56,840 Speaker 1: You can follow us on social media and at John 298 00:18:56,880 --> 00:19:02,480 Speaker 1: Cobelt Radio at John Cobelt Radio, or you can subscribe 299 00:19:02,920 --> 00:19:07,040 Speaker 1: not or and you subscribe on YouTube. We're putting up 300 00:19:07,160 --> 00:19:10,159 Speaker 1: longer segments all the time. YouTube dot com slash at 301 00:19:10,200 --> 00:19:14,240 Speaker 1: John Cobelt's show. To subscribe YouTube dot com slash at 302 00:19:14,400 --> 00:19:19,280 Speaker 1: John Cobelt Show. All right, we had Brad Garrett on earlier. 303 00:19:19,320 --> 00:19:21,720 Speaker 1: One of the things we talked about, who's from ABC News, 304 00:19:22,200 --> 00:19:27,320 Speaker 1: is about this latest Bolton coming out of Massachusetts, actually 305 00:19:27,359 --> 00:19:32,240 Speaker 1: from Rhode Island. It looks like that that suspect in 306 00:19:32,320 --> 00:19:37,840 Speaker 1: the Brown University shooting and he killed two and wounded 307 00:19:37,880 --> 00:19:41,480 Speaker 1: nineteen others. It looks like he's not only a mass killer, 308 00:19:41,760 --> 00:19:46,600 Speaker 1: he may be a serial killer because they believe that 309 00:19:46,840 --> 00:19:50,359 Speaker 1: he is connected to the killing of an MI I 310 00:19:50,480 --> 00:19:57,000 Speaker 1: T professor, which happened Monday. Because Brown is in Providence, 311 00:19:57,080 --> 00:20:03,119 Speaker 1: Rhode Island, MIT is in the Boston area and in Brookline, 312 00:20:03,280 --> 00:20:08,800 Speaker 1: a Boston suburb, an unidentified killer entered the home of 313 00:20:08,960 --> 00:20:16,359 Speaker 1: a professor named Nuno Loerero. Larrero originally from Portugal. His 314 00:20:16,400 --> 00:20:20,760 Speaker 1: home is on Gibbstreet in Brookline. Professor was shot multiple 315 00:20:20,800 --> 00:20:27,520 Speaker 1: times and he was quite the figure in his field. 316 00:20:28,680 --> 00:20:32,720 Speaker 1: Lourero was selected last year to lead the Plasma Science 317 00:20:32,760 --> 00:20:37,480 Speaker 1: Infusion Center, working on advanced clean energy technology, and in 318 00:20:37,560 --> 00:20:42,040 Speaker 1: January of last year, no, maybe this year, Joe Biden 319 00:20:42,080 --> 00:20:45,960 Speaker 1: awarded Loerero and four hundred other scientists with the Presidential 320 00:20:46,000 --> 00:20:51,119 Speaker 1: Early Career Award for Scientists and Engineer Engineers. So it 321 00:20:51,240 --> 00:20:54,800 Speaker 1: was quite accomplished. There's no motive for any of this stuff. 322 00:20:55,280 --> 00:20:58,399 Speaker 1: But they the police are now saying that they have 323 00:20:58,600 --> 00:21:01,679 Speaker 1: id'd this suspect and they have a warrant out for 324 00:21:01,760 --> 00:21:05,159 Speaker 1: the arrest. I guess they have enough evidence between the 325 00:21:05,760 --> 00:21:09,879 Speaker 1: shootings and maybe more video and they've been able to 326 00:21:09,880 --> 00:21:12,240 Speaker 1: make the connection. But he's still on the loose, he's 327 00:21:12,240 --> 00:21:17,239 Speaker 1: still at large. Brown University is under a lot of 328 00:21:17,280 --> 00:21:21,760 Speaker 1: fire because they charge a lot of money for tuition. 329 00:21:22,960 --> 00:21:27,040 Speaker 1: I don't know exactly, but probably you know, eighty thousand 330 00:21:27,040 --> 00:21:32,280 Speaker 1: dollars range or more, and for that kind of money. 331 00:21:32,280 --> 00:21:35,320 Speaker 1: They have a nine billion dollar endowment, You think that 332 00:21:35,440 --> 00:21:38,840 Speaker 1: have security cameras everywhere, especially in the age of school shootings. 333 00:21:39,400 --> 00:21:41,600 Speaker 1: I mean, the school shooting craze has now been going 334 00:21:41,600 --> 00:21:45,840 Speaker 1: on for over twenty five years. Well, Brown University, they 335 00:21:45,880 --> 00:21:49,440 Speaker 1: had a press conference and the reporters are getting increasingly 336 00:21:49,600 --> 00:21:55,080 Speaker 1: aggressive with the with the administrators. And I play a 337 00:21:55,119 --> 00:21:58,720 Speaker 1: clip here and two things got me. First of all, 338 00:21:58,720 --> 00:22:02,879 Speaker 1: you'll hear him questioning the lack of security cameras in 339 00:22:02,920 --> 00:22:07,879 Speaker 1: the building where the shooting happened. But watch the way 340 00:22:08,040 --> 00:22:13,439 Speaker 1: the reporter almost apologizes for asking the question. And this 341 00:22:13,480 --> 00:22:16,440 Speaker 1: should be cut too. You could play cut number two, Sorr. 342 00:22:16,440 --> 00:22:18,240 Speaker 5: I asked this question on it a deep respects, but 343 00:22:18,280 --> 00:22:19,560 Speaker 5: I asked it for a lot of parents. 344 00:22:19,359 --> 00:22:20,960 Speaker 1: Who were frustrated, who reached out to me. 345 00:22:21,040 --> 00:22:22,280 Speaker 3: So please keep that in mind. 346 00:22:22,800 --> 00:22:24,399 Speaker 5: And they want to know how at school with a 347 00:22:24,480 --> 00:22:28,840 Speaker 5: nine billion dollar endowment does not have cameras on one 348 00:22:28,880 --> 00:22:30,879 Speaker 5: of the older buildings at the edge of the camera, 349 00:22:31,000 --> 00:22:33,280 Speaker 5: the edge of the campus where this happened, not even 350 00:22:33,520 --> 00:22:34,479 Speaker 5: in the front door. 351 00:22:34,760 --> 00:22:36,880 Speaker 1: Who's coming and going now? 352 00:22:36,920 --> 00:22:40,399 Speaker 5: They asked this question knowing that the shooter may have 353 00:22:40,400 --> 00:22:42,160 Speaker 5: done whatever You wanted, but the. 354 00:22:42,160 --> 00:22:46,480 Speaker 1: Cameras A would have deterred or B captured. I better 355 00:22:46,520 --> 00:22:47,800 Speaker 1: look at them, and we wouldn't be here. 356 00:22:47,720 --> 00:22:48,800 Speaker 3: Today five days out. 357 00:22:49,240 --> 00:22:50,840 Speaker 1: I want you to explain that. 358 00:22:50,760 --> 00:22:52,920 Speaker 5: Because there's a lot of parents who are wondering, where 359 00:22:52,920 --> 00:22:54,639 Speaker 5: are you investing your money? 360 00:22:54,760 --> 00:22:57,400 Speaker 4: Yeah, I appreciate that question, and I want to reiterate 361 00:22:57,480 --> 00:23:00,840 Speaker 4: as our president did, listen to our students and communicating 362 00:23:00,840 --> 00:23:04,399 Speaker 4: to the parents, to our community about our support is 363 00:23:04,440 --> 00:23:09,000 Speaker 4: of most importance. We have twelve hundred cameras located throughout 364 00:23:09,040 --> 00:23:12,480 Speaker 4: the campus. We don't publish the locations of the cameras. 365 00:23:12,840 --> 00:23:16,080 Speaker 4: That would give a map to somebody to evade detection 366 00:23:16,200 --> 00:23:18,800 Speaker 4: on the cameras, So that would be counterproductive to do that. 367 00:23:19,680 --> 00:23:22,399 Speaker 1: Way, we stopped there, stop there. That was a nonsense answer. 368 00:23:22,720 --> 00:23:26,720 Speaker 1: Eating asked why didn't you publish where all the cameras are? 369 00:23:27,080 --> 00:23:30,840 Speaker 1: Question was why didn't you have cameras at the entrance, 370 00:23:30,960 --> 00:23:33,880 Speaker 1: even at the front door of this older building which 371 00:23:33,960 --> 00:23:36,480 Speaker 1: was part of a complex. That was the question. First 372 00:23:36,480 --> 00:23:39,400 Speaker 1: of all, he starts off with those boiler plate Oh, yes, 373 00:23:39,800 --> 00:23:43,800 Speaker 1: you know, it's the most importance to communicate to our community. 374 00:23:44,119 --> 00:23:46,679 Speaker 1: You know, It's like when they say the safety is 375 00:23:46,680 --> 00:23:51,120 Speaker 1: the first priority of our passengers. Yeah, while the plane 376 00:23:51,240 --> 00:23:54,480 Speaker 1: is as a burning wreck on the runway, safety is 377 00:23:54,480 --> 00:23:58,200 Speaker 1: always our first priority. Well not there, same thing here? 378 00:23:58,240 --> 00:24:01,040 Speaker 1: What's with your communication? He didn't answer the question. He 379 00:24:01,080 --> 00:24:04,240 Speaker 1: actually says that and then proceeds not to answer. And 380 00:24:04,280 --> 00:24:06,080 Speaker 1: then if you go back to the beginning of the 381 00:24:06,119 --> 00:24:09,280 Speaker 1: reporter's question, I asked this question as of deep respect. 382 00:24:09,560 --> 00:24:11,879 Speaker 1: I asked it for a lot of parents who are frustrated, 383 00:24:12,000 --> 00:24:14,119 Speaker 1: who reached out to me. Please keep that in mind. 384 00:24:14,440 --> 00:24:19,480 Speaker 1: What are you doing ask the freaking question? Just start. 385 00:24:19,680 --> 00:24:22,000 Speaker 1: All you have to do is say, instead of that preamb, 386 00:24:22,000 --> 00:24:24,920 Speaker 1: but instead of that prayer, just say, how does the 387 00:24:24,920 --> 00:24:27,560 Speaker 1: school with a nine billion dollar endowment not have cameras 388 00:24:27,600 --> 00:24:29,680 Speaker 1: on the older buildings, not even on the front door. 389 00:24:30,040 --> 00:24:33,719 Speaker 1: How's that happen? That's the question? Do you Why are 390 00:24:33,720 --> 00:24:38,480 Speaker 1: you afraid of offending one of these He is a 391 00:24:38,480 --> 00:24:43,440 Speaker 1: college administrator, he's not Jesus Christ. Oh, you know, out 392 00:24:43,440 --> 00:24:46,280 Speaker 1: a detrius respect. I want you to understand. Please keep 393 00:24:46,280 --> 00:24:49,320 Speaker 1: that in mind. Don't get offended, don't get angry with me. God, 394 00:24:49,400 --> 00:24:56,120 Speaker 1: these reporters are such whimps. They are soggy whimps. Probably 395 00:24:56,160 --> 00:24:57,280 Speaker 1: the rest of his not answer. 396 00:24:58,000 --> 00:25:01,240 Speaker 4: That would give a map to somebody to evade detection 397 00:25:01,359 --> 00:25:04,000 Speaker 4: on the cameras, So that would be counterproductive to do that. 398 00:25:04,440 --> 00:25:06,719 Speaker 4: There are cameras in this building, and as I answered 399 00:25:06,760 --> 00:25:10,359 Speaker 4: the previous question, we have turned over all evidence that 400 00:25:10,359 --> 00:25:12,960 Speaker 4: we were holding it round to law enforcement and are 401 00:25:12,960 --> 00:25:14,280 Speaker 4: cooperating fully with them. 402 00:25:14,400 --> 00:25:16,760 Speaker 5: So you're seeing that they were amazing with cameras in 403 00:25:16,800 --> 00:25:19,200 Speaker 5: the building. I was told yesterday there wasn't cameras in 404 00:25:19,200 --> 00:25:22,720 Speaker 5: the building. Attorney General said, old building, no cameras attached 405 00:25:22,720 --> 00:25:24,160 Speaker 5: to a new building with cameras. 406 00:25:24,720 --> 00:25:27,040 Speaker 4: I believe he said that there were two different phases 407 00:25:27,080 --> 00:25:29,920 Speaker 4: of the building that might have two different levels of technology, 408 00:25:30,440 --> 00:25:34,040 Speaker 4: and all video imagery has been turned over to law enforcement. 409 00:25:34,320 --> 00:25:37,320 Speaker 1: That doesn't make sense. That doesn't make sense. Well, finally, 410 00:25:37,320 --> 00:25:42,440 Speaker 1: the reporter snapped into duty there, it doesn't make sense. Yeah, 411 00:25:42,480 --> 00:25:44,680 Speaker 1: that doesn't make sense. Well, he gave a whole bunch 412 00:25:44,680 --> 00:25:49,520 Speaker 1: of nonsense answers, didn't he Yes, the Attorney General said 413 00:25:49,560 --> 00:25:52,320 Speaker 1: there were no cameras. Well, I think the Attorney General 414 00:25:52,440 --> 00:25:55,719 Speaker 1: said there were two levels of technology. It's like, yeah, 415 00:25:55,760 --> 00:25:58,760 Speaker 1: one building had lots of cameras and one building had 416 00:25:58,800 --> 00:26:01,160 Speaker 1: no cameras. Yeah, I guess you're right. That's two levels 417 00:26:01,200 --> 00:26:05,640 Speaker 1: of technology. And we're not going to tell people where 418 00:26:05,640 --> 00:26:08,560 Speaker 1: our cameras are. You had nothing to tell them. There 419 00:26:08,560 --> 00:26:11,159 Speaker 1: were no cameras, there was no video. Now this is 420 00:26:11,200 --> 00:26:14,360 Speaker 1: like day five. We've all seen the available video. There 421 00:26:14,440 --> 00:26:19,560 Speaker 1: is no recording of him walking into the building, or 422 00:26:19,600 --> 00:26:24,520 Speaker 1: coming down the hallway, or entering that classroom. Why didn't 423 00:26:24,560 --> 00:26:27,960 Speaker 1: you install it? Guarding that nine billion dollars in down 424 00:26:28,000 --> 00:26:30,680 Speaker 1: it pretty closely? Huh? How much would a few extra 425 00:26:30,720 --> 00:26:37,960 Speaker 1: cameras cost? Why are university officials just uniformly such double 426 00:26:38,080 --> 00:26:43,000 Speaker 1: talking weasels. It's always Kamala Harris time. When they speak, 427 00:26:43,520 --> 00:26:46,119 Speaker 1: it's always a big bowl word salad coming out of 428 00:26:46,160 --> 00:26:50,960 Speaker 1: their mouth. Why can't you just answer straight? First of all, 429 00:26:51,000 --> 00:26:58,480 Speaker 1: there's no excuse for not having the cameras. That's severely stupid. Anyway, 430 00:26:58,800 --> 00:27:01,480 Speaker 1: he went on now to shoot an MIT professor to death. 431 00:27:02,880 --> 00:27:04,880 Speaker 1: But they think they got a name. They're not releasing 432 00:27:04,920 --> 00:27:05,760 Speaker 1: the name yet. 433 00:27:06,800 --> 00:27:11,159 Speaker 3: You're listening to John Cobels on demand from KFI Am 434 00:27:11,200 --> 00:27:11,720 Speaker 3: six forty. 435 00:27:12,480 --> 00:27:15,640 Speaker 1: We're gonna have Daniel guss on. Well, we have another 436 00:27:15,840 --> 00:27:19,359 Speaker 1: corrupt La City councilman who's been fined one hundred and 437 00:27:19,400 --> 00:27:24,040 Speaker 1: thirty eight thousand dollars. Another one, we'll tell you who 438 00:27:24,080 --> 00:27:27,560 Speaker 1: he is and what he did. That's coming up after 439 00:27:27,600 --> 00:27:31,960 Speaker 1: two o'clock with Daniel Guss and he's got his own 440 00:27:32,280 --> 00:27:35,959 Speaker 1: Substack news site that you should go see. Let me 441 00:27:36,960 --> 00:27:38,959 Speaker 1: let me tell you about the latest in the Minnesota 442 00:27:39,040 --> 00:27:44,400 Speaker 1: fraud case, because you may have heard about how various 443 00:27:44,520 --> 00:27:49,920 Speaker 1: Somili Americans stole a billion dollars from taxpayers with all 444 00:27:50,040 --> 00:27:54,040 Speaker 1: kinds of welfare fake claims on welfare programs is the 445 00:27:54,080 --> 00:27:56,680 Speaker 1: quickest way to describe it. It looks like it's actually 446 00:27:56,920 --> 00:28:01,119 Speaker 1: two billion dollars at least. News has talked with the 447 00:28:01,160 --> 00:28:05,320 Speaker 1: Minnesota state Senator Michael Kruhn and a former federal prosecutor 448 00:28:05,400 --> 00:28:10,840 Speaker 1: named Joe Tireb and it turns out the losses might 449 00:28:10,920 --> 00:28:15,840 Speaker 1: reach two billion dollars, and the state Senator, Michael Kruhn, 450 00:28:15,880 --> 00:28:19,280 Speaker 1: as a Republican, said the government was long aware of 451 00:28:19,280 --> 00:28:23,080 Speaker 1: the problem. Minnesota has an epidemic of fraud, as the 452 00:28:23,119 --> 00:28:27,359 Speaker 1: rest of the nation is learning. These again are examples 453 00:28:27,440 --> 00:28:32,240 Speaker 1: of the incredibly corrupt. Really, they're like financial cancers. The 454 00:28:32,400 --> 00:28:35,480 Speaker 1: nonprofit industry we've known here in Minnesota for quite some time, 455 00:28:35,560 --> 00:28:38,600 Speaker 1: we had a massive fraud problem and it's the epicenter 456 00:28:38,680 --> 00:28:42,640 Speaker 1: of fraud in the United States right now. Here's here's 457 00:28:42,720 --> 00:28:47,480 Speaker 1: one of the cases. A woman named Asha Farhan Hassan 458 00:28:48,320 --> 00:28:54,720 Speaker 1: created a a autism treatment program and defrauded the state. 459 00:28:54,760 --> 00:28:59,560 Speaker 1: The state. The state has a program so that residents 460 00:28:59,560 --> 00:29:05,080 Speaker 1: can used the money for their kids autism treatment, hasan 461 00:29:06,000 --> 00:29:12,240 Speaker 1: built Medicaid for fake therapy sessions used untrained staff, paid 462 00:29:12,280 --> 00:29:15,840 Speaker 1: parents three hundred dollars. She paid the parents three hundred 463 00:29:15,920 --> 00:29:18,520 Speaker 1: to fifteen hundred dollars a month to keep their kids 464 00:29:18,560 --> 00:29:23,040 Speaker 1: on the phony program. Then she kept her cut hundreds 465 00:29:23,080 --> 00:29:27,160 Speaker 1: of thousands of dollars and sent that money abroad to 466 00:29:27,160 --> 00:29:33,080 Speaker 1: buy real estate and Kenya. The entire budget of Minnesota's 467 00:29:33,120 --> 00:29:37,440 Speaker 1: autism program ballooned from three million in twenty eighteen, count 468 00:29:37,480 --> 00:29:40,160 Speaker 1: that one to two to three million, to four hundred 469 00:29:40,280 --> 00:29:44,360 Speaker 1: million five years later, four hundred million. And it was 470 00:29:44,400 --> 00:29:48,840 Speaker 1: so easy to carry out, according to the former prosecutor. Honestly, 471 00:29:48,960 --> 00:29:52,880 Speaker 1: how easy this fraud was to do. These fraudsters were 472 00:29:53,040 --> 00:29:56,040 Speaker 1: just saying they were spending all this money on feeding kids. 473 00:29:56,080 --> 00:30:00,239 Speaker 1: That was another scam of feeding kids program. And all 474 00:30:00,240 --> 00:30:04,080 Speaker 1: they were doing was making up PDFs putting fake names 475 00:30:04,440 --> 00:30:07,880 Speaker 1: onto exl sheets. He said, I could do that in 476 00:30:07,920 --> 00:30:10,480 Speaker 1: five minutes on a computer if I'd absolutely no conscience, 477 00:30:11,160 --> 00:30:18,320 Speaker 1: And anybody in government who raised any issues they were ignored, reassigned, 478 00:30:19,400 --> 00:30:25,560 Speaker 1: or sidelined. One of the suspects is Omar Fatah, involved 479 00:30:25,600 --> 00:30:29,320 Speaker 1: with Feeding Our Future, and he as well as a 480 00:30:29,320 --> 00:30:33,440 Speaker 1: city councilman in Minneapolis named Jamal Osman, they lobbied the 481 00:30:33,480 --> 00:30:37,120 Speaker 1: governor personally and said, hey, if you don't allow this, 482 00:30:38,520 --> 00:30:44,200 Speaker 1: that's racist. Because the Minnesota Department of Education briefly halted payments, 483 00:30:44,360 --> 00:30:47,239 Speaker 1: and a city councilor actually walked in and said, if 484 00:30:47,280 --> 00:30:51,080 Speaker 1: you don't restart those payments, we're gonna call you racist. 485 00:30:51,280 --> 00:30:54,760 Speaker 1: And Tim Waltz said, ah, don't do that. Here, here's 486 00:30:54,800 --> 00:30:58,200 Speaker 1: the money. You believe that that's extortion. We're gonna call 487 00:30:58,240 --> 00:31:01,560 Speaker 1: you racist if you don't spend two billion dollars in 488 00:31:01,680 --> 00:31:06,120 Speaker 1: tax money on all our schemes that actually happened. According 489 00:31:06,160 --> 00:31:10,760 Speaker 1: to this report, they personally lobbied Waltz by threatening him 490 00:31:11,320 --> 00:31:16,680 Speaker 1: with the word racism, and next thing you know, it's 491 00:31:16,720 --> 00:31:20,360 Speaker 1: two billion dollars out the door. God, and he was 492 00:31:20,400 --> 00:31:23,640 Speaker 1: so close to being vice president when we come back 493 00:31:24,520 --> 00:31:30,320 Speaker 1: Daniel Guss and he's the independent journalist here in Los Angeles, 494 00:31:30,360 --> 00:31:33,840 Speaker 1: and he's going to tell us about another LA City 495 00:31:33,840 --> 00:31:39,760 Speaker 1: Council member corrupt taking goodies connected to Las Vegas, and 496 00:31:39,800 --> 00:31:42,320 Speaker 1: he's hit with a big fine. Hey, you've been listening 497 00:31:42,360 --> 00:31:44,920 Speaker 1: to The John Cobalt Show podcast. You can always hear 498 00:31:44,920 --> 00:31:47,640 Speaker 1: the show live on KFI AM six forty from one 499 00:31:47,680 --> 00:31:50,200 Speaker 1: to four pm every Monday through Friday, and of course, 500 00:31:50,240 --> 00:31:52,960 Speaker 1: anytime on demand on the iHeartRadio app