1 00:00:00,840 --> 00:00:03,400 Speaker 1: Can't. I am six forty. You're listening to the John 2 00:00:03,440 --> 00:00:07,480 Speaker 1: Cobel podcast on the iHeartRadio app two hour. Two rounds 3 00:00:07,480 --> 00:00:09,799 Speaker 1: of the Moistline coming up next hour. We're also going 4 00:00:09,840 --> 00:00:13,800 Speaker 1: to have Royal Oaks from ABC News on the Donald 5 00:00:13,880 --> 00:00:18,680 Speaker 1: Trump trial. Hope Hicks, one of his top advisors. She 6 00:00:18,840 --> 00:00:24,439 Speaker 1: was on the stand and got emotional, started crying. See 7 00:00:24,480 --> 00:00:27,600 Speaker 1: what this is about. That will be next hour as well. 8 00:00:28,360 --> 00:00:32,479 Speaker 1: But now I heard this man on Fox yesterday. I 9 00:00:32,280 --> 00:00:34,760 Speaker 1: was driving and listening to the audio feed, and I 10 00:00:34,960 --> 00:00:36,840 Speaker 1: was just fascinated by what he had to say. Paul 11 00:00:36,920 --> 00:00:41,479 Speaker 1: Morrow is a former NYPD inspector, former head of the 12 00:00:41,560 --> 00:00:46,360 Speaker 1: NYPD Legal Bureau, also has led their Intelligence Operation and 13 00:00:46,440 --> 00:00:50,160 Speaker 1: Analysis Bureau, an attorney, He's on TV all the time, 14 00:00:50,280 --> 00:00:52,840 Speaker 1: and boyd does he know a lot about how these 15 00:00:53,920 --> 00:00:57,360 Speaker 1: spontaneous college protests form and who's behind them and who 16 00:00:57,400 --> 00:01:00,200 Speaker 1: funds them, who organizes them. And we're going to talk 17 00:01:00,240 --> 00:01:01,960 Speaker 1: to Paul Mora right now. Paul, how are you? 18 00:01:03,560 --> 00:01:04,640 Speaker 2: I'm good? John, how are you? 19 00:01:05,400 --> 00:01:08,760 Speaker 1: I'm good? I heard you driving around yesterday and I 20 00:01:08,920 --> 00:01:11,640 Speaker 1: was just fascinated because we've talked about some of this stuff. 21 00:01:11,680 --> 00:01:14,160 Speaker 1: I've suspected some of this stuff, and to hear you 22 00:01:14,319 --> 00:01:17,319 Speaker 1: articulate what's really going on and contrast it with the 23 00:01:17,360 --> 00:01:22,120 Speaker 1: way these events are reported was really quite stunning. Explain 24 00:01:22,240 --> 00:01:26,640 Speaker 1: to people how this protest industry works. 25 00:01:28,520 --> 00:01:31,200 Speaker 2: Yeah, so all of this is about as spontaneous as 26 00:01:31,200 --> 00:01:34,360 Speaker 2: a moon launch, frankly, because what happens is there's a 27 00:01:34,400 --> 00:01:37,920 Speaker 2: class of protesters in this country, particularly in the Blue cities, 28 00:01:38,240 --> 00:01:40,679 Speaker 2: and it's a job. It's a career path. I think 29 00:01:40,680 --> 00:01:42,320 Speaker 2: that's the thing that a lot of people don't realize. 30 00:01:42,360 --> 00:01:45,640 Speaker 2: Over the years, it's become a fairly lucrative living, not 31 00:01:45,760 --> 00:01:49,200 Speaker 2: as a management class, and they're sort of permanently concretized 32 00:01:49,240 --> 00:01:52,520 Speaker 2: into the firmament, right, They run the whole thing, they 33 00:01:52,560 --> 00:01:54,960 Speaker 2: prepare for it are all times. They're the ones who 34 00:01:55,200 --> 00:02:00,520 Speaker 2: control the money and draw nice salaries. They're always bubbling 35 00:02:00,640 --> 00:02:02,960 Speaker 2: underneath the surface. They're always looking for a gripe, and 36 00:02:02,960 --> 00:02:06,680 Speaker 2: so they're always having protests. But every few years, something 37 00:02:06,800 --> 00:02:11,280 Speaker 2: big comes along. And I've used the metaphor of the 38 00:02:11,320 --> 00:02:15,440 Speaker 2: Cicada protesters, just like Cicata locus stay surface from underground 39 00:02:15,480 --> 00:02:19,919 Speaker 2: every few years. Right, so the last initially, let's call 40 00:02:20,320 --> 00:02:23,720 Speaker 2: Occupy Wall Street as the beginning of the current cycle, right, 41 00:02:23,760 --> 00:02:26,200 Speaker 2: and then we had a few years later the Floyd 42 00:02:26,280 --> 00:02:28,760 Speaker 2: Riots in the Summer of Love twenty twenty. Now four 43 00:02:28,840 --> 00:02:32,080 Speaker 2: years on, we have the current nonsense going on on 44 00:02:32,160 --> 00:02:36,359 Speaker 2: our campuses, and the current villain of the day is, 45 00:02:36,520 --> 00:02:40,440 Speaker 2: let's not mince words, it's not Zionism, it's Jews. They 46 00:02:40,600 --> 00:02:43,080 Speaker 2: like to make this distinction between the two. Anybody's been 47 00:02:43,160 --> 00:02:46,000 Speaker 2: up close on this and seeing how some of the 48 00:02:46,120 --> 00:02:49,560 Speaker 2: messaging is going out, and you know how Jews on 49 00:02:49,639 --> 00:02:52,600 Speaker 2: campus are being treated. This is anti Semitism. Let's not 50 00:02:52,720 --> 00:02:56,120 Speaker 2: kid ourselves, you know, and let's recognize it. You can't 51 00:02:56,160 --> 00:02:57,919 Speaker 2: fix a problem unless you recognize you have it. So 52 00:02:58,480 --> 00:03:00,799 Speaker 2: what they do is they weaponize the car college students. 53 00:03:01,120 --> 00:03:04,080 Speaker 2: There's an endless cycle of those. They just seem to 54 00:03:04,080 --> 00:03:07,400 Speaker 2: be getting dumber. They're ignorant, ignorant of history of that 55 00:03:07,480 --> 00:03:09,360 Speaker 2: region of the world and of the fact that they 56 00:03:09,400 --> 00:03:13,200 Speaker 2: are essentially a Stalin called them useful idiots. And they 57 00:03:13,240 --> 00:03:14,880 Speaker 2: come and go, and they'll all go back to East 58 00:03:14,880 --> 00:03:18,120 Speaker 2: Cupcake and when this is over are relatively unscarred, maybe 59 00:03:18,120 --> 00:03:21,040 Speaker 2: with minor police records that they'll pay to get expunged. 60 00:03:21,680 --> 00:03:27,560 Speaker 2: But the permanent class of these protesters slash agitators will 61 00:03:27,600 --> 00:03:31,200 Speaker 2: remain this time. However, we have the overlay of HAMAS, 62 00:03:31,600 --> 00:03:33,720 Speaker 2: which makes the entire thing a lot more volatile. 63 00:03:35,560 --> 00:03:39,760 Speaker 1: Are the direct relationships between HAMAS and these professional protesters 64 00:03:41,080 --> 00:03:42,360 Speaker 1: they seem to be developing. 65 00:03:42,400 --> 00:03:43,920 Speaker 2: So there are a couple and I'm not going to 66 00:03:43,960 --> 00:03:45,880 Speaker 2: say them because I don't want to encourage this stuff, 67 00:03:45,880 --> 00:03:50,720 Speaker 2: but there are some social media outlets that the groups 68 00:03:50,920 --> 00:03:52,280 Speaker 2: and again I'm not going to even say the name 69 00:03:52,320 --> 00:03:55,360 Speaker 2: of the student groups, but a couple of the Edgier 70 00:03:55,640 --> 00:03:59,080 Speaker 2: student groups have put out the word join this forum, 71 00:03:59,800 --> 00:04:04,000 Speaker 2: and consequently they have and it's interesting to see because 72 00:04:04,000 --> 00:04:07,680 Speaker 2: they're using these forums to communicate with each other to 73 00:04:07,800 --> 00:04:10,840 Speaker 2: plan their movements. They put out communicats saying things like 74 00:04:10,880 --> 00:04:13,920 Speaker 2: everybody go to sixty third and fifth for we're going 75 00:04:14,000 --> 00:04:15,480 Speaker 2: to head muster up there, and we're going to head 76 00:04:15,480 --> 00:04:17,800 Speaker 2: to the new school and protest there. That was yesterday, 77 00:04:18,520 --> 00:04:22,000 Speaker 2: and yet like a next message will be from al 78 00:04:22,120 --> 00:04:25,880 Speaker 2: Kasm Brigades, let's say, which is the militarized wing of Hamas, 79 00:04:26,040 --> 00:04:30,000 Speaker 2: or from the Hutis, which are a Shia group in 80 00:04:30,360 --> 00:04:34,600 Speaker 2: northern Yemen and a designated terrorist group, and they'll say 81 00:04:34,640 --> 00:04:37,880 Speaker 2: things like, more power to you, students, keep doing what 82 00:04:37,880 --> 00:04:41,080 Speaker 2: you're doing, and in fact, in some instances they're urging 83 00:04:41,120 --> 00:04:44,080 Speaker 2: them to get more militants and to take quote unquote 84 00:04:44,120 --> 00:04:46,080 Speaker 2: direct action. I think we all know what that means. 85 00:04:46,480 --> 00:04:48,040 Speaker 2: And that's why I think this sit is such a 86 00:04:48,120 --> 00:04:52,520 Speaker 2: volatile stew of things going on, because you know, this 87 00:04:52,560 --> 00:04:55,240 Speaker 2: could edge over into kind of radicalization that we saw 88 00:04:55,320 --> 00:04:58,520 Speaker 2: in early AQ, and isis they lose it a lion 89 00:04:58,640 --> 00:05:01,200 Speaker 2: paradigm where people who may be a leading down slipping 90 00:05:01,200 --> 00:05:03,600 Speaker 2: down lives feel like it's time for me to do 91 00:05:03,640 --> 00:05:05,680 Speaker 2: something meaningful with my life, and here's a group of 92 00:05:05,680 --> 00:05:08,640 Speaker 2: people that appreciate me. And you also have the fact 93 00:05:08,680 --> 00:05:12,320 Speaker 2: that there have been some characters spotted in the encampments 94 00:05:12,440 --> 00:05:19,520 Speaker 2: on campus who are related to terrorists period understory, convicted terrorists. 95 00:05:19,520 --> 00:05:22,160 Speaker 2: One of them was deported. He resides in Turkey, family 96 00:05:22,200 --> 00:05:26,159 Speaker 2: members here on the campus in the Columbia encampment before 97 00:05:26,200 --> 00:05:29,000 Speaker 2: the NYPD cleaned it out. So you can imagine why 98 00:05:29,000 --> 00:05:31,400 Speaker 2: a character like me is fairly concerned. 99 00:05:32,680 --> 00:05:37,080 Speaker 1: And I saw that NYPD thinks half of the protesters 100 00:05:37,120 --> 00:05:41,679 Speaker 1: may have been outsiders at Columbia and City College. 101 00:05:43,440 --> 00:05:46,120 Speaker 2: Yeah, that tracks I'm going to push back on that 102 00:05:46,160 --> 00:05:48,280 Speaker 2: a little bit. John. You know, I actually think that 103 00:05:48,640 --> 00:05:51,960 Speaker 2: I saw this narrative during the Deblasio years relative to 104 00:05:51,960 --> 00:05:57,000 Speaker 2: Occupy Wall Street and relative to the BLM riots, and 105 00:05:57,080 --> 00:06:01,479 Speaker 2: this is a way to absolve New Yorkers responsibility. And 106 00:06:01,520 --> 00:06:03,880 Speaker 2: you literally see coming out of the Mayor's office things 107 00:06:03,920 --> 00:06:08,400 Speaker 2: like our children are being radicalized and these outside agitators 108 00:06:08,400 --> 00:06:10,359 Speaker 2: are causing all of this. And you know, at some 109 00:06:10,400 --> 00:06:12,360 Speaker 2: point you've got to say to yourself, these are supposed 110 00:06:12,400 --> 00:06:14,160 Speaker 2: to be the kreme de la creme of our education, 111 00:06:14,600 --> 00:06:18,400 Speaker 2: of our educational class. These are Columbia students who are 112 00:06:18,480 --> 00:06:21,960 Speaker 2: ostensibly going to be the future senators, governor's faculty members, 113 00:06:22,520 --> 00:06:25,160 Speaker 2: and if they can't think for themselves, then that's on them. 114 00:06:25,240 --> 00:06:27,520 Speaker 2: And I just don't like this idea that they're setting 115 00:06:27,600 --> 00:06:30,120 Speaker 2: up this paradigm. And here's why I'm nervous. I'm afraid 116 00:06:30,120 --> 00:06:32,280 Speaker 2: they're going to drop all the charges. One of the 117 00:06:32,360 --> 00:06:35,200 Speaker 2: things that you can do to disincentivize this stuff, obviously, 118 00:06:35,440 --> 00:06:41,320 Speaker 2: is give these kids real charges where they get fingerprinted, photographed, 119 00:06:41,400 --> 00:06:44,000 Speaker 2: et cetera, and they have a criminal record, and we 120 00:06:44,080 --> 00:06:46,760 Speaker 2: contrack them. You drop all the charges like they did 121 00:06:46,800 --> 00:06:49,680 Speaker 2: after the first night in Columbia, you don't disincentivize it. 122 00:06:50,120 --> 00:06:52,159 Speaker 2: And I get a rumbling of the idea that they're 123 00:06:52,200 --> 00:06:54,640 Speaker 2: very quietly looking to do that and to absorb and 124 00:06:54,640 --> 00:06:57,120 Speaker 2: I'm afraid that deal actually was cut before the NYPD 125 00:06:57,279 --> 00:07:00,000 Speaker 2: went in. So I don't like this idea that, oh, 126 00:07:00,040 --> 00:07:03,680 Speaker 2: it's agitators leading our kids by the nose. That's bs man. 127 00:07:04,160 --> 00:07:06,400 Speaker 2: A lot of my sody ages, they're twenty three, twenty four, 128 00:07:06,400 --> 00:07:08,239 Speaker 2: A lot of them my graduate students, and it's about 129 00:07:08,240 --> 00:07:11,160 Speaker 2: two less numbers. I saw. It's about two thirds students 130 00:07:11,160 --> 00:07:13,720 Speaker 2: to one third agitators. And I remember that's only the 131 00:07:13,720 --> 00:07:17,000 Speaker 2: people that were arrested. A lot of the students they protest, 132 00:07:17,120 --> 00:07:19,240 Speaker 2: they you know, they scream, they yell, then they go 133 00:07:19,280 --> 00:07:22,440 Speaker 2: home to take their online finals. So I'm a little 134 00:07:22,440 --> 00:07:24,320 Speaker 2: skeptical of that, and I think it's something that we 135 00:07:24,320 --> 00:07:25,160 Speaker 2: should be leery of. 136 00:07:25,640 --> 00:07:30,600 Speaker 1: Are these also foreign students on student visas? And are 137 00:07:30,600 --> 00:07:32,920 Speaker 1: they are they? Are they coming here they to cause 138 00:07:32,960 --> 00:07:36,040 Speaker 1: trouble or they get swept up into it after the fact. 139 00:07:37,640 --> 00:07:39,960 Speaker 2: You know, I don't have any hard data on that, John, 140 00:07:39,960 --> 00:07:41,600 Speaker 2: So I don't want to say something I'm not sure of. 141 00:07:41,680 --> 00:07:43,680 Speaker 2: I will tell you that certainly a lot of them 142 00:07:43,680 --> 00:07:47,200 Speaker 2: are foreign students. What visas they're on and what their 143 00:07:47,240 --> 00:07:50,760 Speaker 2: motivations are is anybody's guests, because, as you know all 144 00:07:50,800 --> 00:07:53,480 Speaker 2: too well, we don't really have a southern border. And 145 00:07:53,640 --> 00:07:55,440 Speaker 2: if you can accept the fact that we've had thirty 146 00:07:55,480 --> 00:08:00,440 Speaker 2: to fifty thousand Chinese military age nationals coming through our 147 00:08:00,480 --> 00:08:04,520 Speaker 2: southern border for some undetermined purpose, the idea that we 148 00:08:04,760 --> 00:08:08,920 Speaker 2: have people with terrorist intent coming through our southern border, 149 00:08:09,000 --> 00:08:10,640 Speaker 2: especially when we know for a fact that there have 150 00:08:10,680 --> 00:08:13,480 Speaker 2: been dozens who are on watch lists who we then 151 00:08:13,600 --> 00:08:17,200 Speaker 2: determine we find in the interior of the country. And 152 00:08:17,240 --> 00:08:19,360 Speaker 2: when let's say the Ebauer brothers, one of whom is 153 00:08:19,360 --> 00:08:23,640 Speaker 2: accused of killing Lakeln Riley Done Georgia, are hard carrying 154 00:08:23,680 --> 00:08:27,120 Speaker 2: in Trende Aragua members, which is the Venezuela and prison 155 00:08:27,120 --> 00:08:29,880 Speaker 2: gang that we're also concerned about. Sure, I have no 156 00:08:29,960 --> 00:08:33,440 Speaker 2: problem positing and believing that, but I don't have hard data. 157 00:08:33,520 --> 00:08:35,680 Speaker 2: And let's hope we get the hard data at some point, 158 00:08:35,720 --> 00:08:37,520 Speaker 2: because that's the kind of stuff that's tough to peel 159 00:08:37,559 --> 00:08:38,320 Speaker 2: back from the onion. 160 00:08:38,880 --> 00:08:42,560 Speaker 1: Do the administrators understand what's going on? I mean out 161 00:08:42,600 --> 00:08:46,880 Speaker 1: here in La the UCLA Chancellor seems utterly clueless of 162 00:08:46,920 --> 00:08:50,040 Speaker 1: what he's up again, men, are are they that naive? 163 00:08:50,320 --> 00:08:53,800 Speaker 1: Or are they? Are they that much sympathetic to the cause. 164 00:08:55,520 --> 00:08:58,079 Speaker 2: I think it's both, you know, but who knows how 165 00:08:58,080 --> 00:08:59,640 Speaker 2: these minds work. I tell you I was on the 166 00:08:59,640 --> 00:09:01,760 Speaker 2: effort three hours that night waiting for the cops to 167 00:09:01,760 --> 00:09:04,160 Speaker 2: show up at UCLA. And this is not a shot 168 00:09:04,160 --> 00:09:06,480 Speaker 2: at the cops. I dealt with LAPD. I had cases 169 00:09:06,480 --> 00:09:10,000 Speaker 2: with the Sheriff's office out there, the county Sheriff's sary Kerr. 170 00:09:10,280 --> 00:09:12,760 Speaker 2: So that's a real agency. Those are real police. I 171 00:09:12,800 --> 00:09:15,560 Speaker 2: never dealt with chips. But those two agencies are real, 172 00:09:15,760 --> 00:09:17,800 Speaker 2: mature agencies. They know how to do it. They know 173 00:09:17,840 --> 00:09:19,360 Speaker 2: what they do, and the proof of that is once 174 00:09:19,400 --> 00:09:21,679 Speaker 2: they were given to green light, they did it. But 175 00:09:21,760 --> 00:09:25,080 Speaker 2: the dittering was shameless. And then this canard about all 176 00:09:25,160 --> 00:09:27,400 Speaker 2: they can't go in until they're asked to go in? 177 00:09:27,559 --> 00:09:29,840 Speaker 2: Is a full scale riot going on? What if those 178 00:09:29,840 --> 00:09:32,360 Speaker 2: weren't two by fours right, What if those have been 179 00:09:32,480 --> 00:09:34,240 Speaker 2: edged weapons or guns? You can tell me the cops 180 00:09:34,280 --> 00:09:36,120 Speaker 2: are gonna wait around the perimeter waiting for the green 181 00:09:36,200 --> 00:09:39,800 Speaker 2: light to go in. It's nonsense. It's it's it's just 182 00:09:39,880 --> 00:09:45,320 Speaker 2: complete political coverage. And you got to say to yourself, 183 00:09:45,679 --> 00:09:51,720 Speaker 2: who is the commonality there politically above chips a county 184 00:09:51,960 --> 00:09:55,800 Speaker 2: agency and a city agency. That's the governor. And where 185 00:09:55,840 --> 00:09:58,640 Speaker 2: was Newsome? Checking his hair was up the French laundry, 186 00:09:58,640 --> 00:10:00,800 Speaker 2: you know, wondering about what he's going to order for 187 00:10:00,800 --> 00:10:04,200 Speaker 2: an appetizer. Where was this guy here? He's a mia 188 00:10:04,320 --> 00:10:07,200 Speaker 2: hiding under his desk, and you know, there's a full 189 00:10:07,200 --> 00:10:09,719 Speaker 2: scale ride going on. I was appalled. I was embarrassed 190 00:10:09,720 --> 00:10:12,080 Speaker 2: as an American and certainly as as a lawyer and 191 00:10:12,120 --> 00:10:14,120 Speaker 2: a cop and whatever other had you want to put 192 00:10:14,160 --> 00:10:17,240 Speaker 2: on me. I couldn't believe that even in New York, 193 00:10:17,480 --> 00:10:19,000 Speaker 2: as sort of down on New York as I am 194 00:10:19,080 --> 00:10:21,840 Speaker 2: these days, you know, I really don't think that would 195 00:10:21,880 --> 00:10:23,640 Speaker 2: have happened here. I'm amazed he got away with it. 196 00:10:23,679 --> 00:10:26,040 Speaker 2: And there hasn't been calls for a deep die forensic 197 00:10:26,360 --> 00:10:29,120 Speaker 2: as to what went wrong, because that can't happen now. 198 00:10:29,480 --> 00:10:33,600 Speaker 1: He was almost completely silent. There was one tepid statement 199 00:10:33,679 --> 00:10:37,760 Speaker 1: sent out in his name, and there was nothing actually 200 00:10:37,800 --> 00:10:40,199 Speaker 1: that none of the local politicians here said very much. 201 00:10:42,559 --> 00:10:44,840 Speaker 2: Was apparently in Washington, right, I mean, you know, on 202 00:10:44,880 --> 00:10:49,400 Speaker 2: your dime, you know. I mean, I was waiting for 203 00:10:49,440 --> 00:10:51,640 Speaker 2: somebody to come out and give a press conference at least, like, hey, 204 00:10:51,640 --> 00:10:53,679 Speaker 2: we know what's going on. We're gathering the horses, we're 205 00:10:53,720 --> 00:10:55,520 Speaker 2: going to do it. But as usual, they let it 206 00:10:55,559 --> 00:10:59,280 Speaker 2: go too too far. They coddled these kids and nas 207 00:10:59,360 --> 00:11:01,559 Speaker 2: the cops to go win and clean it up. Then 208 00:11:01,600 --> 00:11:04,200 Speaker 2: the optic is ugly. They're all hoping to get arrested 209 00:11:04,240 --> 00:11:07,760 Speaker 2: or assaulted so they can sue the city then will settle. 210 00:11:08,440 --> 00:11:12,160 Speaker 2: These anti police and really anti American groups are then 211 00:11:12,320 --> 00:11:16,120 Speaker 2: further funded, and then the whole cycle starts all over again. 212 00:11:16,760 --> 00:11:18,360 Speaker 1: Could you hang on for a few more minutes. I 213 00:11:18,400 --> 00:11:20,320 Speaker 1: got to do a news break. Do you got time? 214 00:11:21,480 --> 00:11:21,680 Speaker 2: Yeah? 215 00:11:21,720 --> 00:11:23,840 Speaker 1: Sure, okay, because I want to ask you about the funding. 216 00:11:25,160 --> 00:11:28,360 Speaker 1: We're talking here with Paul Morrow, and you can see him. 217 00:11:28,360 --> 00:11:31,880 Speaker 1: He appears often on Fox News. He's also former NYPD inspector, 218 00:11:32,280 --> 00:11:35,240 Speaker 1: former head of the NYPD Legal Bureau, head of the 219 00:11:35,280 --> 00:11:39,240 Speaker 1: Intelligence Operations and Analysis Bureau, an attorney, and he's giving 220 00:11:39,320 --> 00:11:44,199 Speaker 1: us the behind the scenes analysis of how these protests 221 00:11:44,400 --> 00:11:49,080 Speaker 1: really develop and who's involved in creating it and funding it, 222 00:11:49,200 --> 00:11:50,560 Speaker 1: with the logistics behind it. 223 00:11:51,280 --> 00:11:55,600 Speaker 3: You're listening to John Cobelt on demand from KFI AM 224 00:11:55,640 --> 00:11:56,160 Speaker 3: six voting. 225 00:11:57,400 --> 00:12:03,120 Speaker 1: We continue with Paul Moram and he is a He 226 00:12:03,200 --> 00:12:06,960 Speaker 1: can analyze all the demonstrations that are going on across 227 00:12:06,960 --> 00:12:10,400 Speaker 1: the country. With his background as a former NYPD inspector, 228 00:12:10,520 --> 00:12:13,679 Speaker 1: a former head of the NYPD Legal Bureau, head of 229 00:12:13,720 --> 00:12:16,760 Speaker 1: their Intelligence, Operations and Analysis Bureau. He knows this stuff. 230 00:12:16,760 --> 00:12:22,760 Speaker 1: And we've been discussing who is designing, funding, supplying these 231 00:12:23,640 --> 00:12:27,480 Speaker 1: college protests over the gaza situation around the country. It's 232 00:12:27,480 --> 00:12:32,800 Speaker 1: not just the naive students, it is really hardened, battle 233 00:12:32,840 --> 00:12:36,240 Speaker 1: tested veterans of the protest game. It's it's become an industry. 234 00:12:37,000 --> 00:12:40,760 Speaker 1: Let's get Paul Moro back on. Paul, So, who's funding 235 00:12:40,760 --> 00:12:43,440 Speaker 1: this is? This is big bucks because you talk about 236 00:12:43,520 --> 00:12:46,600 Speaker 1: how well paid the industry can be if you want 237 00:12:46,640 --> 00:12:52,000 Speaker 1: to work in it. For these I guess nonprofits. I 238 00:12:52,000 --> 00:12:54,600 Speaker 1: mean there's a lot of supplies involved right there. There's 239 00:12:54,760 --> 00:12:58,320 Speaker 1: there's a lot of logistics and organization and recruitment costs. 240 00:12:58,679 --> 00:13:01,280 Speaker 1: Where's the money coming from? 241 00:13:01,440 --> 00:13:03,800 Speaker 2: Yeah, I mean obviously, as I said, this stuff isn't 242 00:13:03,880 --> 00:13:07,000 Speaker 2: very spontaneous. The day after they decided to go active, 243 00:13:07,640 --> 00:13:11,520 Speaker 2: there are four hundred tenths deployed, all of which are 244 00:13:11,559 --> 00:13:13,960 Speaker 2: the same color or you know, of the same design, 245 00:13:14,080 --> 00:13:16,679 Speaker 2: so they're ready. If you ever wondered why they all 246 00:13:16,720 --> 00:13:19,640 Speaker 2: have placards the next day that are all already pre printed, 247 00:13:19,720 --> 00:13:22,480 Speaker 2: et cetera. You know, you get some intimation of the 248 00:13:22,559 --> 00:13:26,400 Speaker 2: level of coordination an organization that that that goes on. 249 00:13:26,559 --> 00:13:28,439 Speaker 2: So look, there are a lot of them names you've 250 00:13:28,480 --> 00:13:31,760 Speaker 2: heard before. The Soros Foundation, the Rockefeller Foundation, You've got 251 00:13:31,800 --> 00:13:34,880 Speaker 2: the Silicon Valley big wigs. You've got Jeff Bezos's ex 252 00:13:34,920 --> 00:13:37,719 Speaker 2: wife just gave six hundred and fifty million dollars to 253 00:13:37,840 --> 00:13:41,360 Speaker 2: Far Left Causes. What happens is they keep their prints 254 00:13:41,400 --> 00:13:45,600 Speaker 2: off of it. They give the money to these cutouts 255 00:13:45,760 --> 00:13:49,040 Speaker 2: and their umbrella groups, the Tides Foundation. They go through 256 00:13:49,040 --> 00:13:51,840 Speaker 2: a spider web. It's a very labyrinthine thing to try 257 00:13:51,840 --> 00:13:55,160 Speaker 2: to penetrate, and it goes out to vary all ships 258 00:13:55,160 --> 00:13:57,920 Speaker 2: at sea. The money gets cut up through this guy, 259 00:13:57,960 --> 00:14:00,640 Speaker 2: through that guy, then goes to this guy, and ultimately 260 00:14:00,640 --> 00:14:03,280 Speaker 2: it finds its way down to the street. And you know, 261 00:14:03,360 --> 00:14:05,480 Speaker 2: BLM the same thing. There were a number of pretty 262 00:14:05,520 --> 00:14:10,640 Speaker 2: good BLM forensics done regarding the money done after the 263 00:14:10,880 --> 00:14:14,360 Speaker 2: twenty twenty Summer of Love, and you should see, you know, 264 00:14:14,520 --> 00:14:16,920 Speaker 2: if you look at these documentaries are on YouTube, you 265 00:14:16,920 --> 00:14:19,200 Speaker 2: can see where some of the money went, and it's 266 00:14:19,320 --> 00:14:22,480 Speaker 2: just astounding. A lot of them went to a lot 267 00:14:22,480 --> 00:14:25,600 Speaker 2: of transgender groups and things like that. They also they 268 00:14:25,720 --> 00:14:26,880 Speaker 2: you know, you get a lot of money from the 269 00:14:26,920 --> 00:14:31,000 Speaker 2: corporations that think that they're you know, on the side 270 00:14:31,040 --> 00:14:34,400 Speaker 2: of the angels, or maybe are just paying money into 271 00:14:34,480 --> 00:14:40,000 Speaker 2: the coffers in an effort to be popped bypassed. You know, 272 00:14:40,040 --> 00:14:42,880 Speaker 2: it's a little extortion it and the idea of being, hey, look, 273 00:14:42,920 --> 00:14:46,000 Speaker 2: we gave you money, so don't focus on the fact that, 274 00:14:46,680 --> 00:14:49,920 Speaker 2: you know whatever, we're using slave labor to extract lithium 275 00:14:49,920 --> 00:14:52,640 Speaker 2: in West Africa or something. You know, they don't want 276 00:14:52,680 --> 00:14:54,440 Speaker 2: to be They don't want it to be that day 277 00:14:54,440 --> 00:14:56,800 Speaker 2: in the barrel. So it's a lot of money. It's 278 00:14:56,840 --> 00:15:00,400 Speaker 2: in the billions. There are over a thousand, five oh 279 00:15:00,440 --> 00:15:04,200 Speaker 2: one c three civil rights groups in New York and 280 00:15:04,240 --> 00:15:07,280 Speaker 2: oh look, I'm not dirtying up everybody who protests, who 281 00:15:07,280 --> 00:15:10,240 Speaker 2: wants to use their First Amendment rights, who wants to 282 00:15:10,560 --> 00:15:13,560 Speaker 2: come out against even police, that's your right. And the 283 00:15:13,600 --> 00:15:16,520 Speaker 2: cops aren't perfect, of course, neither is the legal profession. 284 00:15:17,200 --> 00:15:19,720 Speaker 2: But when you see the kind of coordinated effort I saw, 285 00:15:19,800 --> 00:15:25,080 Speaker 2: let's say, starting fifteen April, when globally, not just nationally, 286 00:15:25,680 --> 00:15:28,680 Speaker 2: these protests all kicked off at the same time, some 287 00:15:28,760 --> 00:15:32,320 Speaker 2: of them which got pretty rough. You got to city yourself. 288 00:15:32,400 --> 00:15:35,160 Speaker 2: In addition to the groups I just named, is their 289 00:15:35,240 --> 00:15:39,200 Speaker 2: foreign influence? Is their foreign money? And to be frank, 290 00:15:39,280 --> 00:15:43,040 Speaker 2: I've dealt with our adversaries overseas enough to know that 291 00:15:43,160 --> 00:15:46,240 Speaker 2: we would be naive and they would be foolish, not 292 00:15:46,800 --> 00:15:51,520 Speaker 2: who have partaken of this aperture. And they're not foolish 293 00:15:51,840 --> 00:15:54,000 Speaker 2: in a lot of ways. They're smarter and more realistic 294 00:15:54,080 --> 00:15:56,400 Speaker 2: than we are. And so to think that some of 295 00:15:56,440 --> 00:15:59,760 Speaker 2: our real adversaries on the global stage are not looking 296 00:15:59,800 --> 00:16:02,520 Speaker 2: at this just like the border and saying there is 297 00:16:02,560 --> 00:16:05,440 Speaker 2: an opportunity, we'd be kidding ourselves. 298 00:16:05,840 --> 00:16:09,400 Speaker 1: I understand the motivation of some of these foreign adversaries. 299 00:16:09,600 --> 00:16:13,480 Speaker 1: What's the motivation of some of those rich foundations you 300 00:16:13,640 --> 00:16:19,400 Speaker 1: quoted widows of billionaires, the billionaires themselves, the tech people. 301 00:16:19,720 --> 00:16:23,840 Speaker 1: Why are they funneling money into so much chaos and destruction, 302 00:16:24,600 --> 00:16:29,080 Speaker 1: hatred of Jewish people? What's in it for them? You 303 00:16:29,120 --> 00:16:31,360 Speaker 1: can do a lot with your money. Why pick these 304 00:16:31,520 --> 00:16:37,600 Speaker 1: causes that are causing so much, you know, insanity, You. 305 00:16:37,640 --> 00:16:40,600 Speaker 2: Know, John as they're saying, goes, I have more degrees 306 00:16:40,640 --> 00:16:43,760 Speaker 2: than at tomownor but one of them isn't in psychology. 307 00:16:44,680 --> 00:16:48,160 Speaker 2: And I wish I could understand that mindset. I really don't. 308 00:16:48,200 --> 00:16:51,440 Speaker 2: These are people who have benefited so greatly from this country, 309 00:16:51,520 --> 00:16:55,440 Speaker 2: which is admittedly imperfect, but in my mind, the greatest 310 00:16:55,440 --> 00:17:00,520 Speaker 2: system ever devised in human history to lift the most people. 311 00:17:01,200 --> 00:17:05,560 Speaker 2: It really is the rising tide that lifts most boats. 312 00:17:06,480 --> 00:17:08,840 Speaker 2: And of course you're always going to have people disgruntled 313 00:17:08,880 --> 00:17:12,399 Speaker 2: in any system, but the idea that the beneficiaries of 314 00:17:12,440 --> 00:17:15,640 Speaker 2: that system are all of a suddens. You know, over 315 00:17:15,680 --> 00:17:17,640 Speaker 2: the last what do we want to say, twenty thirty years? 316 00:17:17,680 --> 00:17:19,560 Speaker 2: Maybe you want to track it back to the sixties. 317 00:17:20,000 --> 00:17:22,040 Speaker 2: You know, at some point it really just became cool, 318 00:17:22,800 --> 00:17:25,359 Speaker 2: and it feels like we're just still within the the 319 00:17:25,440 --> 00:17:29,640 Speaker 2: number of the nineteen sixties anti establishment idea. I mean, 320 00:17:29,720 --> 00:17:32,639 Speaker 2: consider this, you have people out there and I've done this, 321 00:17:32,800 --> 00:17:35,400 Speaker 2: It had a track down people with a rest warrants, etc. 322 00:17:36,080 --> 00:17:39,000 Speaker 2: Who are out there want they want to get arrested 323 00:17:39,760 --> 00:17:43,280 Speaker 2: and yet they have trust funds, they're dumpster diving, living 324 00:17:43,280 --> 00:17:45,399 Speaker 2: with Antifa. They're a rest warrant, not a guy. One 325 00:17:45,400 --> 00:17:46,920 Speaker 2: time we had to go find them. He was living 326 00:17:46,920 --> 00:17:49,399 Speaker 2: in a town called Muttontown, New York, on Long Island. 327 00:17:49,880 --> 00:17:51,639 Speaker 2: I'd never been there. I couldn't We couldn't see the 328 00:17:51,640 --> 00:17:54,520 Speaker 2: house from the road. That's how long the driveway was. 329 00:17:55,119 --> 00:17:57,720 Speaker 2: I mean, it was like Gatsbyville. And this kid had 330 00:17:57,760 --> 00:18:00,480 Speaker 2: open warrants on him, and he was dumpster diving with Antifa. 331 00:18:01,040 --> 00:18:02,760 Speaker 2: And you know, it's part of the it's part of 332 00:18:02,760 --> 00:18:05,440 Speaker 2: the rhetoric and the ethic of it to want to 333 00:18:05,440 --> 00:18:07,600 Speaker 2: get arrested. That's what kills me when they start screaming, 334 00:18:07,600 --> 00:18:09,760 Speaker 2: when the cuffs go on. And I don't have to 335 00:18:09,760 --> 00:18:12,800 Speaker 2: speculate about that. Look at our president, you know. Biden 336 00:18:12,880 --> 00:18:16,760 Speaker 2: tells a lot of tall tales, but not coincidentally. Two 337 00:18:16,840 --> 00:18:19,920 Speaker 2: of them have to do with bogus arrests. He says 338 00:18:19,960 --> 00:18:23,119 Speaker 2: he was arrested with Nelson Mandela. Never happened, that he 339 00:18:23,160 --> 00:18:28,200 Speaker 2: was arrested at desegregation demonstration on a black family's porch, 340 00:18:28,880 --> 00:18:31,200 Speaker 2: even in New York Times can't find any evidence of that. 341 00:18:31,320 --> 00:18:32,240 Speaker 1: It just is I don't know. 342 00:18:32,320 --> 00:18:33,480 Speaker 2: Part of it is just to be one of the 343 00:18:33,520 --> 00:18:34,520 Speaker 2: cool kids. 344 00:18:34,720 --> 00:18:38,239 Speaker 1: Well, fascinating to talk with you, Paul, thank you for 345 00:18:38,240 --> 00:18:40,000 Speaker 1: coming on. I hope we can talk again sometime. 346 00:18:41,320 --> 00:18:43,520 Speaker 2: I appreciate it. Can I throw in a plug? Go ahead, 347 00:18:44,640 --> 00:18:46,760 Speaker 2: real quick, folks. If you're not tired of me yet, 348 00:18:46,840 --> 00:18:49,640 Speaker 2: you can go to opstest dot org. That's a website where, 349 00:18:49,960 --> 00:18:52,280 Speaker 2: you know, got some intel cops and lawyers like me 350 00:18:52,880 --> 00:18:55,680 Speaker 2: opining on this stuff at a podcast there as well. 351 00:18:55,680 --> 00:18:57,760 Speaker 2: You can sign up for the newsletter and it's the 352 00:18:57,840 --> 00:19:00,040 Speaker 2: kind of stuff you're not going to hear elsewhere. So 353 00:19:00,200 --> 00:19:00,800 Speaker 2: thank you and. 354 00:19:00,800 --> 00:19:03,800 Speaker 1: John, thank you. This is fun. Thank you opsdesk dot org. 355 00:19:03,880 --> 00:19:08,640 Speaker 3: Okay, Paul Morale, you're listening to John Cobels on demand 356 00:19:08,920 --> 00:19:10,840 Speaker 3: from KFI A M six forty. 357 00:19:11,320 --> 00:19:14,040 Speaker 1: And I'm telling you we just had Paul Morrow on 358 00:19:14,560 --> 00:19:17,680 Speaker 1: who appears on Fox News, and he's been a long 359 00:19:17,760 --> 00:19:22,159 Speaker 1: time official with NYPD, and he had a lot of 360 00:19:22,320 --> 00:19:27,240 Speaker 1: truth to tell about who's orchestrating and paying for designing 361 00:19:27,280 --> 00:19:32,160 Speaker 1: and supplying these demonstrations. It is not benign college students 362 00:19:32,200 --> 00:19:36,760 Speaker 1: starry eyed about exercising their First Amendment right. No, we've 363 00:19:36,760 --> 00:19:41,240 Speaker 1: been infiltrated uh. And there's there's feign infiltration involved in here, 364 00:19:41,280 --> 00:19:44,240 Speaker 1: with a lot of leftist movements trying to destabilize everything. 365 00:19:45,240 --> 00:19:48,480 Speaker 1: Uh and and I think people are are I would 366 00:19:48,600 --> 00:19:54,040 Speaker 1: think parents around the country are waking up that these universities, 367 00:19:54,440 --> 00:19:57,880 Speaker 1: even ones with famous names, had become a snake pit 368 00:19:58,400 --> 00:20:01,199 Speaker 1: for their for their kids, and their children's brains and 369 00:20:01,240 --> 00:20:05,280 Speaker 1: their mental health. I have noticed over the last few 370 00:20:05,359 --> 00:20:09,640 Speaker 1: years that you know, you grow up in an era 371 00:20:09,880 --> 00:20:15,640 Speaker 1: where things like the New York Times, the Los Angeles Times, NBCCBSABC, 372 00:20:15,760 --> 00:20:20,000 Speaker 1: all the old media outlets had a powerful cachet, and 373 00:20:20,560 --> 00:20:23,240 Speaker 1: these outlets have been living off that cachet because they 374 00:20:23,280 --> 00:20:25,760 Speaker 1: were the supreme authority when a lot of people were 375 00:20:25,800 --> 00:20:29,560 Speaker 1: growing up, not younger people, but older people. And you 376 00:20:29,720 --> 00:20:32,800 Speaker 1: still have a reflex to want to believe what's on 377 00:20:32,880 --> 00:20:37,440 Speaker 1: their pages or what's on their broadcasts. And it's almost 378 00:20:37,600 --> 00:20:43,000 Speaker 1: like I was compared to the old British aristocracy, you know, 379 00:20:43,160 --> 00:20:47,199 Speaker 1: the fourth account of Rumpelton, And you know, once you 380 00:20:47,320 --> 00:20:50,720 Speaker 1: get down through the generations, they end up being a 381 00:20:50,760 --> 00:20:53,760 Speaker 1: bunch of drunks and mental patients whacked out on drugs. 382 00:20:53,800 --> 00:20:56,919 Speaker 1: They've blown all their money and their estates are all 383 00:20:57,000 --> 00:21:00,600 Speaker 1: run down. There's rats running around, and they have their 384 00:21:00,640 --> 00:21:02,679 Speaker 1: coat of arms, right, the family coat of arms, and 385 00:21:02,720 --> 00:21:05,720 Speaker 1: it looks really impressive. And they still have some there's 386 00:21:05,720 --> 00:21:09,440 Speaker 1: still a baron or account or whatever, and they're still 387 00:21:09,480 --> 00:21:12,639 Speaker 1: treated with a certain amount of respect and awe because 388 00:21:12,720 --> 00:21:17,200 Speaker 1: where they came from. But really they're rotted out people. 389 00:21:17,240 --> 00:21:19,720 Speaker 1: It's a rotted out family. And that's what a lot 390 00:21:19,760 --> 00:21:21,600 Speaker 1: of the media outlets are like, right, I mean, Los 391 00:21:21,600 --> 00:21:24,320 Speaker 1: Angeles Times is rotted out. All they have left is 392 00:21:25,440 --> 00:21:29,400 Speaker 1: their nameplate, the Los Angeles Times masthead at the top 393 00:21:29,400 --> 00:21:31,440 Speaker 1: of the website, on the front of the paper. That's 394 00:21:31,480 --> 00:21:33,840 Speaker 1: all that's left. And it makes you think, like, wow, 395 00:21:33,880 --> 00:21:35,960 Speaker 1: this is one of the great newspapers in America. Well, 396 00:21:36,119 --> 00:21:40,080 Speaker 1: you know it's not. It's not. It's completely destroyed. And 397 00:21:40,840 --> 00:21:43,520 Speaker 1: the same thing that goes with these colleges, especially like 398 00:21:43,560 --> 00:21:48,680 Speaker 1: these Ivy League colleges, even places like UCLA, it's rotted 399 00:21:48,720 --> 00:21:51,640 Speaker 1: out from the inside. They still have the nameplate, they 400 00:21:51,680 --> 00:21:55,840 Speaker 1: still have the masthead, they still have the coat of arms, 401 00:21:57,320 --> 00:22:04,000 Speaker 1: but inside that's running around. You can't believe how much 402 00:22:04,000 --> 00:22:06,320 Speaker 1: money is being paid. Do you ever stop and think, 403 00:22:06,320 --> 00:22:08,159 Speaker 1: de ever, how much money you've paid for college. 404 00:22:08,240 --> 00:22:11,120 Speaker 4: I try not to staggering, isn't it. Yeah, because your 405 00:22:11,400 --> 00:22:14,919 Speaker 4: kids went to good schools. Yeah, so did mine. I know, 406 00:22:15,520 --> 00:22:18,159 Speaker 4: I know, I'm it's I try to block out that 407 00:22:18,240 --> 00:22:21,359 Speaker 4: number in my head. And you send them there and 408 00:22:21,400 --> 00:22:24,879 Speaker 4: they come back with all these not different ideas than 409 00:22:24,880 --> 00:22:30,000 Speaker 4: you have, but these whack job progressive, absurd ideas. And 410 00:22:30,560 --> 00:22:33,359 Speaker 4: my friends they talk about this all the time. You 411 00:22:33,400 --> 00:22:35,880 Speaker 4: don't expect to have a carbon copy of a child 412 00:22:35,960 --> 00:22:39,080 Speaker 4: who has all the same beliefs that you have. But 413 00:22:39,200 --> 00:22:42,679 Speaker 4: some of the stuff that's coming home to people's home, 414 00:22:42,840 --> 00:22:46,320 Speaker 4: coming to people's homes, what I've heard is like, holy crap, 415 00:22:47,920 --> 00:22:55,040 Speaker 4: and it's all the woke bs. The Wall Street Journal 416 00:22:55,080 --> 00:22:58,439 Speaker 4: has a story and reading it makes me think the 417 00:22:58,480 --> 00:23:00,600 Speaker 4: only thing you can do is like stop the check. 418 00:23:00,680 --> 00:23:05,520 Speaker 1: Stop funding these places. Either your son or daughter is 419 00:23:05,560 --> 00:23:10,520 Speaker 1: going into debt six figures or you're going into debt 420 00:23:10,560 --> 00:23:12,919 Speaker 1: six figures. But what do you have at the end 421 00:23:12,960 --> 00:23:17,760 Speaker 1: of it, especially if they take a BS course, they're 422 00:23:18,160 --> 00:23:24,399 Speaker 1: doing gender studies. There's some such nonsense like that. And 423 00:23:24,440 --> 00:23:27,000 Speaker 1: the article talks about how colleges have a new source 424 00:23:27,040 --> 00:23:31,239 Speaker 1: of protest I rate parents parents paying as much as 425 00:23:31,400 --> 00:23:36,199 Speaker 1: ninety thousand dollars for their sons and daughters to attend 426 00:23:36,320 --> 00:23:41,959 Speaker 1: elite universities. Angry and frustrated both sides of the political divide. 427 00:23:41,960 --> 00:23:46,880 Speaker 1: It says, whether their kids are protesting, counterprotesting, or trying 428 00:23:46,920 --> 00:23:49,840 Speaker 1: to stay out of it, parents are demanding schools do 429 00:23:49,960 --> 00:23:52,080 Speaker 1: more to keep them safe and keep them learning and 430 00:23:52,160 --> 00:23:55,560 Speaker 1: have them learned real stuff. I know a lot of 431 00:23:55,600 --> 00:23:59,080 Speaker 1: these courses, even math and science courses, courses where you 432 00:23:59,160 --> 00:24:03,119 Speaker 1: think is just based on facts or teaching skills in 433 00:24:03,160 --> 00:24:07,520 Speaker 1: a certain industry, is overloaded and invaded with all kinds 434 00:24:07,600 --> 00:24:12,760 Speaker 1: of woke garbage, nonsense, and kids trying to fake their 435 00:24:12,800 --> 00:24:15,680 Speaker 1: way through it. They have to prove to their professor 436 00:24:15,760 --> 00:24:20,040 Speaker 1: that they really believe all these weird concepts, whether it's 437 00:24:20,080 --> 00:24:24,080 Speaker 1: you know, sexuality, gender and all the related and they don't. 438 00:24:24,400 --> 00:24:26,679 Speaker 1: They're just faking it to get through the day. The 439 00:24:26,720 --> 00:24:30,679 Speaker 1: indoctrination isn't even working on most of the kids. Some 440 00:24:30,800 --> 00:24:32,800 Speaker 1: of the kids, you know, they're lost causes, and we 441 00:24:32,840 --> 00:24:35,919 Speaker 1: see them in the streets protesting. But for most it's like, 442 00:24:36,359 --> 00:24:38,240 Speaker 1: this is what college is about. This is what I'm 443 00:24:38,240 --> 00:24:41,119 Speaker 1: going in debt for for one hundred thousand dollars. This 444 00:24:41,200 --> 00:24:43,480 Speaker 1: is why my mom and dad worked second jobs on 445 00:24:43,520 --> 00:24:48,679 Speaker 1: the weekends for this. It's garbage, and shame on all 446 00:24:48,680 --> 00:24:51,480 Speaker 1: of us for paying for it. It kind of crept 447 00:24:51,560 --> 00:24:54,240 Speaker 1: up on all of us. But I think we now 448 00:24:54,280 --> 00:24:58,160 Speaker 1: know the truth and from this day forward, you got 449 00:24:58,160 --> 00:25:02,679 Speaker 1: to stop sending your kids to these places. This isn't prestige, 450 00:25:02,760 --> 00:25:09,560 Speaker 1: this isn't elite, This is garbage. These colleges are intellectual sores. 451 00:25:11,200 --> 00:25:13,240 Speaker 1: So the Wall Street Journal said, the parents are pushing 452 00:25:13,240 --> 00:25:16,720 Speaker 1: back financially. They want tuition refunds when the classes have 453 00:25:16,760 --> 00:25:20,440 Speaker 1: been canceled from these idiotic protests. They're calling up counselors 454 00:25:20,480 --> 00:25:22,800 Speaker 1: to get their money back. They're threatening not to donate 455 00:25:22,840 --> 00:25:27,600 Speaker 1: in the future. Yeah, that's what you gotta do. A 456 00:25:27,600 --> 00:25:30,520 Speaker 1: lot of families are questioning the value, just in general, 457 00:25:30,560 --> 00:25:33,639 Speaker 1: of a college education because you walk out there with 458 00:25:33,720 --> 00:25:37,240 Speaker 1: a ton of debt and then what and a lot 459 00:25:37,280 --> 00:25:41,680 Speaker 1: of nutty ideas that don't play in the workplace. Everybody 460 00:25:41,760 --> 00:25:45,000 Speaker 1: I know has said that recent graduates coming into the 461 00:25:45,040 --> 00:25:49,160 Speaker 1: workplace seem to be from another planet and don't understand 462 00:25:49,160 --> 00:25:51,680 Speaker 1: how the real world works. Is not interested in it. 463 00:25:52,000 --> 00:25:56,440 Speaker 1: In fact, they're really nasty that you're supposed to think 464 00:25:56,480 --> 00:25:59,000 Speaker 1: like they do, and everybody's afraid that somehow they're going 465 00:25:59,040 --> 00:26:03,639 Speaker 1: to get sued ard by this crowd. It's amazing, and 466 00:26:03,680 --> 00:26:13,600 Speaker 1: they don't know crap what parents kid went to Barnard 467 00:26:13,640 --> 00:26:19,359 Speaker 1: College ninety thousand dollars a year. Everybody's disappointed because all 468 00:26:19,400 --> 00:26:22,400 Speaker 1: the restrictions and cansulation, especially if you're in your graduate year, 469 00:26:22,640 --> 00:26:27,200 Speaker 1: this is what you get. And I know, I mean, 470 00:26:27,960 --> 00:26:30,560 Speaker 1: you've got to you gotta, you gotta have stop having respect. 471 00:26:31,080 --> 00:26:33,760 Speaker 1: You've got to shake off your your admiration in awe 472 00:26:34,280 --> 00:26:40,680 Speaker 1: for these places that are nothing but their their antiquities. 473 00:26:40,720 --> 00:26:44,240 Speaker 1: Now their name plates don't mean anything, their mastheads don't 474 00:26:44,280 --> 00:26:48,080 Speaker 1: mean anything, their coat of arms don't mean anything. It's 475 00:26:48,119 --> 00:26:51,399 Speaker 1: a name. Now it's been rotted out by all this 476 00:26:51,520 --> 00:26:55,159 Speaker 1: woke progressive garbage. They've ruined the place. Sometimes, you know, 477 00:26:55,240 --> 00:26:57,200 Speaker 1: you have you ever got on a vacation and you're 478 00:26:57,240 --> 00:26:59,640 Speaker 1: touring this grand mansion and a king or a queen 479 00:26:59,760 --> 00:27:02,560 Speaker 1: or some kind of emperor, some kind of wealthy magnate 480 00:27:02,640 --> 00:27:05,520 Speaker 1: lived there, and now it smells, it's damp, it's musty. 481 00:27:06,119 --> 00:27:10,199 Speaker 1: There really are rats running around you. You're choking on 482 00:27:10,240 --> 00:27:15,520 Speaker 1: the mold. That's what's happened. And we got to come 483 00:27:15,600 --> 00:27:18,120 Speaker 1: up with new We got to come up with better 484 00:27:18,160 --> 00:27:20,840 Speaker 1: places to send the kids to go, because this isn't working, 485 00:27:21,119 --> 00:27:24,040 Speaker 1: this isn't worth nearly one hundred grand a year, and 486 00:27:24,240 --> 00:27:27,360 Speaker 1: and all this psych all this garbage with their woke 487 00:27:27,400 --> 00:27:33,000 Speaker 1: progressive studies. Just stop. No more zero. You smell that coming, 488 00:27:33,520 --> 00:27:37,080 Speaker 1: pull your application, don't even apply, don't go there, don't 489 00:27:37,080 --> 00:27:40,840 Speaker 1: take the courses somewhere else. That's not what life is about. 490 00:27:41,280 --> 00:27:41,919 Speaker 1: More coming up. 491 00:27:42,880 --> 00:27:47,760 Speaker 3: You're listening to John Cobel on Demand from KFI Am sixty. 492 00:27:48,400 --> 00:27:50,960 Speaker 1: Report says, tears at the Trump trial today. One of 493 00:27:51,000 --> 00:27:55,520 Speaker 1: the witnesses, Hope picks one of his top assistance. We'll 494 00:27:55,720 --> 00:27:57,840 Speaker 1: find out what that was about. Why are there tears 495 00:27:58,560 --> 00:28:01,480 Speaker 1: going on? We're gonna have Roy l Oaks form ABC 496 00:28:01,600 --> 00:28:03,600 Speaker 1: News to tell us what went on at the Trump trial. 497 00:28:03,600 --> 00:28:06,040 Speaker 1: We got two rounds of the moist line going on 498 00:28:06,119 --> 00:28:12,119 Speaker 1: as well. And I have been absolutely fascinated by the 499 00:28:12,400 --> 00:28:17,240 Speaker 1: Boeing situation for months now, right since since early January 500 00:28:17,240 --> 00:28:20,159 Speaker 1: when the door plug blew out. Man that one moment 501 00:28:20,200 --> 00:28:26,400 Speaker 1: there has really opened up. All the closet doors came 502 00:28:26,440 --> 00:28:30,600 Speaker 1: flying open. Now we have a you remember a couple 503 00:28:30,640 --> 00:28:34,840 Speaker 1: of months ago, a Boeing whistleblower named John Barnett was 504 00:28:34,880 --> 00:28:39,120 Speaker 1: discovered in his vehicle allegedly having killed himself. Yes the 505 00:28:39,120 --> 00:28:43,720 Speaker 1: week he was testifying, he was testifying to attorneys he'd 506 00:28:43,720 --> 00:28:48,600 Speaker 1: been subpoenaed. Well, now we have another dead whistleblower, Joshua Dean, 507 00:28:48,800 --> 00:28:54,560 Speaker 1: forty five years old. Same thing. He was accusing Boeing 508 00:28:54,600 --> 00:28:57,960 Speaker 1: publicly of ignoring safety flaws in the seven thirty seven 509 00:28:58,080 --> 00:29:03,640 Speaker 1: Max production line. Now he's dead, and it's a weird 510 00:29:03,760 --> 00:29:10,560 Speaker 1: illness too. He ended up with pneumonia and MRSA. It 511 00:29:10,640 --> 00:29:15,120 Speaker 1: seemed he had a series of infections and at the 512 00:29:15,160 --> 00:29:19,800 Speaker 1: relative relatively young age of forty five, he's dead. His 513 00:29:19,920 --> 00:29:26,560 Speaker 1: mother said, he uh. He went underway a procedure to 514 00:29:26,560 --> 00:29:31,600 Speaker 1: investigate the damage done to his lungs through the pneumonia, 515 00:29:31,880 --> 00:29:36,200 Speaker 1: and then he contacted MRCA, tested positive for the flu. 516 00:29:37,600 --> 00:29:46,080 Speaker 1: Tests also showed he'd suffered a stroke, and eventually he 517 00:29:46,200 --> 00:29:49,920 Speaker 1: just died. Now what are the odds of two public 518 00:29:49,960 --> 00:29:55,240 Speaker 1: whistleblowers both dying at a young age under mysterious circumstances. 519 00:29:58,040 --> 00:29:59,000 Speaker 1: I mean, is there. 520 00:30:00,520 --> 00:30:06,880 Speaker 5: Maybe the stress? Who knows what they had to deal with. 521 00:30:07,560 --> 00:30:10,080 Speaker 1: If they had that much stress, then what are the 522 00:30:10,120 --> 00:30:12,560 Speaker 1: boeing goons doing to these these guys? 523 00:30:13,400 --> 00:30:16,160 Speaker 5: Well, we don't know what happened to the first one, right, 524 00:30:16,280 --> 00:30:19,680 Speaker 5: whether he killed himself or not. This guy, I mean, 525 00:30:19,720 --> 00:30:23,560 Speaker 5: he was very ill. We don't know why or how 526 00:30:23,600 --> 00:30:24,560 Speaker 5: he got so ill. 527 00:30:25,600 --> 00:30:29,080 Speaker 1: His mother said he was very depressed, frightened, doing a 528 00:30:29,120 --> 00:30:32,640 Speaker 1: lot of sleeping and not responding. And he was not 529 00:30:32,760 --> 00:30:40,280 Speaker 1: even under sedation or any pain medication. They both had 530 00:30:40,320 --> 00:30:45,440 Speaker 1: the same lawyer, too. Is that is that weird? I mean, 531 00:30:46,360 --> 00:30:48,680 Speaker 1: if you heard this story coming out of Russia, everybody 532 00:30:48,720 --> 00:30:52,200 Speaker 1: would just say, oh, that's Putin, right, Like, there are 533 00:30:52,200 --> 00:30:56,080 Speaker 1: no whistleblowers against Vladimir Putin. They don't last. You get 534 00:30:56,080 --> 00:31:01,200 Speaker 1: pushed off a motel ball, that's a given, yeah, Or 535 00:31:01,520 --> 00:31:04,440 Speaker 1: somebody jabs an umbrella in your back and your face 536 00:31:05,120 --> 00:31:11,120 Speaker 1: starts to rot. Are you're poisoned? Yeah? This guy, Joshua Dean, 537 00:31:11,240 --> 00:31:14,440 Speaker 1: he is the one who described the pizza party at 538 00:31:14,440 --> 00:31:18,920 Speaker 1: the Wichita plant. That was the perk offered to employees 539 00:31:18,960 --> 00:31:21,480 Speaker 1: if there was a decline in the number of defects 540 00:31:22,280 --> 00:31:26,520 Speaker 1: being reported, and so that encouraged all the employees to 541 00:31:26,680 --> 00:31:30,200 Speaker 1: not report defects. And if you kept the number long enough, 542 00:31:30,240 --> 00:31:35,800 Speaker 1: you got a slice of pizza. In fact, Dean was 543 00:31:35,840 --> 00:31:39,920 Speaker 1: the one who said after they won the pizza, while 544 00:31:39,920 --> 00:31:44,400 Speaker 1: everyone was eating it, all they were talking about was, well, 545 00:31:44,440 --> 00:31:47,080 Speaker 1: we only got the pizza because everybody decided not to 546 00:31:47,120 --> 00:31:52,040 Speaker 1: report the defects anymore. Dean said, and he told this 547 00:31:52,120 --> 00:31:55,480 Speaker 1: to NPR. We're having a pizza party because we're lowering defects. 548 00:31:55,480 --> 00:31:58,440 Speaker 1: But we're not lowering defects, we just ain't reporting them. 549 00:31:58,480 --> 00:32:02,720 Speaker 1: You know what I mean, pizza really worth it? I mean, 550 00:32:02,760 --> 00:32:06,040 Speaker 1: come on, I was gonna say, I mean, what's on 551 00:32:06,040 --> 00:32:10,720 Speaker 1: that pizza? It's in wichita. It can't be good pizza. 552 00:32:11,800 --> 00:32:17,840 Speaker 1: I are people's lives. That's sad, that empty that you're 553 00:32:17,880 --> 00:32:23,960 Speaker 1: willing to overlook airplane defects that could cause people to die. 554 00:32:24,520 --> 00:32:26,920 Speaker 1: So you got a slice of pizza for about five minutes. 555 00:32:27,040 --> 00:32:29,920 Speaker 5: Yeah, pizza is really not that expensive. 556 00:32:29,480 --> 00:32:33,560 Speaker 1: A slice of pizzas how much is a slice of pizza? 557 00:32:36,880 --> 00:32:39,760 Speaker 1: That's uh, that's hard to boil. And they killed him 558 00:32:39,760 --> 00:32:45,000 Speaker 1: over that. Excuse me. He died of pneumonia or mursa 559 00:32:45,640 --> 00:32:52,640 Speaker 1: or the flu or something, or he's been poisoned or 560 00:32:52,680 --> 00:32:56,040 Speaker 1: they shot him. All right, more coming up Royal Oaks 561 00:32:56,680 --> 00:32:59,760 Speaker 1: reporting on the Trump trial. Hope Picks, who we met 562 00:33:00,120 --> 00:33:03,200 Speaker 1: years ago. I remember Ray and Kennon. I met her 563 00:33:03,800 --> 00:33:08,160 Speaker 1: when we during the twenty sixteen race. She was on 564 00:33:08,200 --> 00:33:12,000 Speaker 1: the stand and apparently she started crying. We'll find out why. Hey, 565 00:33:12,360 --> 00:33:14,880 Speaker 1: you've been listening to The John Cobalt Show podcast. You 566 00:33:14,920 --> 00:33:17,520 Speaker 1: can always hear the show live on KFI AM six 567 00:33:17,600 --> 00:33:20,320 Speaker 1: forty from one to four pm every Monday through Friday, 568 00:33:20,320 --> 00:33:23,600 Speaker 1: and of course, anytime on demand on the iHeartRadio app.