1 00:00:00,640 --> 00:00:02,040 Speaker 1: Can't. I am six forty. 2 00:00:02,120 --> 00:00:05,520 Speaker 2: You're listening to the John Cobel Podcast on the iHeartRadio app. 3 00:00:06,360 --> 00:00:07,440 Speaker 1: Welcome to the show. 4 00:00:07,560 --> 00:00:11,800 Speaker 2: We are on every day from one to four, and 5 00:00:11,880 --> 00:00:14,080 Speaker 2: if you miss any part of the show, or maybe god, 6 00:00:14,080 --> 00:00:15,280 Speaker 2: from B to B, it's the whole show. 7 00:00:15,800 --> 00:00:18,200 Speaker 1: You gonna make it up. John Cobell Show on demand. 8 00:00:18,280 --> 00:00:20,439 Speaker 2: It's the podcast same as the radio show, and that 9 00:00:20,640 --> 00:00:23,240 Speaker 2: gets posted on the iHeart app after four o'clock. So 10 00:00:23,280 --> 00:00:26,279 Speaker 2: we're on live till four, and we're on the podcast 11 00:00:26,680 --> 00:00:32,600 Speaker 2: after four o'clock. It seems like Elon Musk is the 12 00:00:33,000 --> 00:00:36,600 Speaker 2: only news story in America. Whatever he's doing, whatever he's saying, 13 00:00:38,400 --> 00:00:41,360 Speaker 2: because you know what, in most people's lifetimes, I think 14 00:00:41,680 --> 00:00:45,839 Speaker 2: virtually everyone's lifetime, we've never seen anybody seriously try to 15 00:00:45,920 --> 00:00:49,839 Speaker 2: cut all the wasteful government spending, all the criminal fraud 16 00:00:50,159 --> 00:00:52,840 Speaker 2: that goes on. We all know what goes on, and 17 00:00:53,080 --> 00:00:57,120 Speaker 2: everybody always promises to do something about it. And I've 18 00:00:57,160 --> 00:01:00,760 Speaker 2: been hearing a lot of numbers in these various news stories, 19 00:01:00,760 --> 00:01:04,360 Speaker 2: but you don't want that sticks in my mind. Every 20 00:01:04,560 --> 00:01:07,520 Speaker 2: three months, we add another trillion dollars in debt in 21 00:01:07,600 --> 00:01:12,600 Speaker 2: this country, federal debt, federal government a trillion dollars every 22 00:01:12,720 --> 00:01:18,680 Speaker 2: three months. And that's if everything's going right. There's no 23 00:01:18,959 --> 00:01:27,399 Speaker 2: economic recession that cuts tax revenues every three months. There's 24 00:01:27,440 --> 00:01:31,760 Speaker 2: no like COVID lockdown that that screws up the economy. 25 00:01:32,920 --> 00:01:37,080 Speaker 2: So that's four trillion dollars a year. At the moment, 26 00:01:38,760 --> 00:01:43,240 Speaker 2: we have thirty six trillion in debt, and then by 27 00:01:43,240 --> 00:01:45,320 Speaker 2: the end of the year it'll be forty trillion, and 28 00:01:45,360 --> 00:01:48,520 Speaker 2: then the year after that forty four trillion. And you know, 29 00:01:48,600 --> 00:01:51,840 Speaker 2: these things get bigger and bigger and bigger, and I 30 00:01:52,520 --> 00:01:56,160 Speaker 2: there's so much screaming going on over what Musk is doing. 31 00:01:56,760 --> 00:02:02,600 Speaker 2: Mostly it's the whack job progressives, but the media is 32 00:02:02,680 --> 00:02:07,480 Speaker 2: amplifying all the protests and very few are taking the 33 00:02:07,520 --> 00:02:10,200 Speaker 2: time to say, well, something's got to be done here, right. 34 00:02:11,480 --> 00:02:14,240 Speaker 2: Do you know twenty percent of our budget goes to 35 00:02:14,320 --> 00:02:17,680 Speaker 2: pay for the interest on the debt. It's over a 36 00:02:17,720 --> 00:02:22,480 Speaker 2: trillion dollars. Over a trillion dollars of our tax money 37 00:02:22,880 --> 00:02:27,400 Speaker 2: just pays the interest on what we borrowed. I mean, 38 00:02:27,480 --> 00:02:33,560 Speaker 2: it's astonishingly bad management. And it's been going on for 39 00:02:33,639 --> 00:02:38,320 Speaker 2: decades under both Republicans and Democrats, no matter who controlled Congress. 40 00:02:38,400 --> 00:02:41,720 Speaker 2: Or the Senate or the presidency. It's been, it's been. 41 00:02:41,760 --> 00:02:49,640 Speaker 2: They've all been just incompetent, irresponsible, stupid boobs. And now 42 00:02:49,800 --> 00:02:53,440 Speaker 2: we're finding out then nobody knows where the money went. 43 00:02:54,919 --> 00:02:56,400 Speaker 1: They're trying to do an audit. 44 00:02:56,960 --> 00:02:59,919 Speaker 2: But as Musk said yesterday, it's like you look at 45 00:03:00,120 --> 00:03:02,919 Speaker 2: the line items as to let's say, you know, there 46 00:03:03,000 --> 00:03:07,359 Speaker 2: was a million dollars spent on a million dollar check 47 00:03:07,400 --> 00:03:12,560 Speaker 2: went out to some agency, some program, whatever. There's there's 48 00:03:12,800 --> 00:03:14,839 Speaker 2: there's supposed to be a second box where you put 49 00:03:14,880 --> 00:03:16,680 Speaker 2: in a code the. 50 00:03:16,680 --> 00:03:17,840 Speaker 1: Type of spending it is. 51 00:03:19,200 --> 00:03:20,920 Speaker 2: And I don't know exactly what the codes are and 52 00:03:20,919 --> 00:03:22,760 Speaker 2: what they represent, but you're supposed to have a code, 53 00:03:22,760 --> 00:03:25,000 Speaker 2: and people in government know what the code means. 54 00:03:25,360 --> 00:03:26,200 Speaker 1: There's no code. 55 00:03:26,680 --> 00:03:30,160 Speaker 2: There's another box that's for a comment, and it's you 56 00:03:30,240 --> 00:03:35,040 Speaker 2: write down exactly what the what the check is for, 57 00:03:35,520 --> 00:03:39,160 Speaker 2: what the money transfer is for. Nobody wrote anything in 58 00:03:39,200 --> 00:03:42,280 Speaker 2: the comment. So here you have a million dollars out 59 00:03:42,280 --> 00:03:43,840 Speaker 2: the door, and they don't know who it went to 60 00:03:44,160 --> 00:03:46,760 Speaker 2: because it doesn't say they don't know what category of 61 00:03:46,800 --> 00:03:51,160 Speaker 2: spending it is. It doesn't say, and it clicked yesterday. 62 00:03:51,160 --> 00:03:55,080 Speaker 2: It's like, okay, now I understand when Gavin Newsen says, hey, 63 00:03:55,080 --> 00:03:57,480 Speaker 2: we spend twenty four billion dollars in homelessness, but we 64 00:03:57,520 --> 00:03:59,960 Speaker 2: don't know what it went for and whether it worked. 65 00:04:00,520 --> 00:04:05,240 Speaker 1: It's because nobody writes it down. You know. 66 00:04:05,320 --> 00:04:07,720 Speaker 2: It's it's like, you know, you probably have some friends 67 00:04:07,840 --> 00:04:11,320 Speaker 2: or family members who run up big credit card bills. 68 00:04:11,320 --> 00:04:13,440 Speaker 2: They don't really track the income in the outflow, right, 69 00:04:13,480 --> 00:04:16,120 Speaker 2: nobody writes anything down and you ask them a word, 70 00:04:16,120 --> 00:04:18,919 Speaker 2: all the money go? Then I don't know, because you 71 00:04:19,000 --> 00:04:21,840 Speaker 2: have to like physically track where money goes, especially when 72 00:04:21,880 --> 00:04:25,000 Speaker 2: you're spending I don't know, six seven trillion dollars a year, 73 00:04:25,200 --> 00:04:26,320 Speaker 2: somebody's got to write it down. 74 00:04:26,360 --> 00:04:27,600 Speaker 1: They literally don't write it down. 75 00:04:27,640 --> 00:04:29,640 Speaker 2: I found this hard to believe, but it's true because 76 00:04:29,720 --> 00:04:31,840 Speaker 2: Musk said the same thing, and so. 77 00:04:31,920 --> 00:04:33,760 Speaker 1: Did the auditors for high speed Rail. 78 00:04:34,000 --> 00:04:36,400 Speaker 2: They said the same thing that when they got to 79 00:04:36,440 --> 00:04:40,880 Speaker 2: the paperwork, the paperwork was blank. There was money spent, 80 00:04:41,000 --> 00:04:44,159 Speaker 2: but it didn't say which consultants got the money or 81 00:04:44,160 --> 00:04:48,400 Speaker 2: which construction company got the micy just evaporate the same 82 00:04:48,400 --> 00:04:52,120 Speaker 2: thing here in LA with the all the homeless, all 83 00:04:52,200 --> 00:04:58,040 Speaker 2: the homeless nonprofit criminals, all these all these fake nonprofits 84 00:04:58,120 --> 00:05:01,120 Speaker 2: that they's supposed to be administering help them. Almost most 85 00:05:01,160 --> 00:05:07,680 Speaker 2: of these are criminal operations. And I remember during COVID 86 00:05:07,680 --> 00:05:11,599 Speaker 2: when there was a lockdown, and we've talked about this 87 00:05:11,640 --> 00:05:14,279 Speaker 2: a lot. The state had said they would pay unemployment 88 00:05:14,320 --> 00:05:22,520 Speaker 2: to anybody who applied, and tons of fraudsters applied, and 89 00:05:22,600 --> 00:05:26,720 Speaker 2: we blew fifty billion dollars, fifty billion dollars in tax 90 00:05:26,800 --> 00:05:31,080 Speaker 2: money to fraudsters, and they said later on, well, eighty 91 00:05:31,080 --> 00:05:34,920 Speaker 2: five percent of the fraudulent payments went to people overseas, 92 00:05:35,040 --> 00:05:39,000 Speaker 2: people in foreign countries. And I thought, my god, every 93 00:05:39,880 --> 00:05:44,159 Speaker 2: bad character in literally in the world knows what to 94 00:05:44,240 --> 00:05:47,560 Speaker 2: do if California is shoveling money out like they know 95 00:05:47,880 --> 00:05:52,000 Speaker 2: how to access the websites, fill out the forms properly, 96 00:05:52,480 --> 00:05:56,680 Speaker 2: get the check, and get approval. And I'm thinking, well, now, 97 00:05:56,839 --> 00:06:01,400 Speaker 2: multiply this exponentially for the US government. Every fraudster in 98 00:06:01,440 --> 00:06:04,880 Speaker 2: the country and outside the country knows how to access 99 00:06:04,960 --> 00:06:06,080 Speaker 2: the system and. 100 00:06:06,480 --> 00:06:08,440 Speaker 1: Get and get. 101 00:06:08,920 --> 00:06:11,599 Speaker 2: I mean, there's literally trillions of dollars that have been 102 00:06:11,680 --> 00:06:16,440 Speaker 2: flushed in the toilet. So we've got the first president 103 00:06:17,480 --> 00:06:20,920 Speaker 2: to address this, and even Trump did not take any 104 00:06:21,240 --> 00:06:24,280 Speaker 2: action on this the first time around. And you've got 105 00:06:24,400 --> 00:06:28,080 Speaker 2: Musk inexplicably a certain percentage of the country hates and 106 00:06:28,240 --> 00:06:31,000 Speaker 2: I really don't have no idea why. I mean, the 107 00:06:31,040 --> 00:06:34,040 Speaker 2: guy just makes electric cars, and he makes space rockets, 108 00:06:34,120 --> 00:06:38,279 Speaker 2: and he's making implants to hopefully make paralyzed people walk. 109 00:06:38,720 --> 00:06:42,640 Speaker 2: He's got a social media site that is extremely popular. 110 00:06:42,640 --> 00:06:45,960 Speaker 2: I really do not understand except their you know, this 111 00:06:46,080 --> 00:06:48,960 Speaker 2: is increased. I've noticed throughout my life as people are 112 00:06:49,000 --> 00:06:53,359 Speaker 2: resentful of the successful, they get angry and hateful of 113 00:06:53,440 --> 00:06:57,280 Speaker 2: successful people. Now he's got about five hundred billion dollars. 114 00:06:57,320 --> 00:06:59,840 Speaker 2: He doesn't need to do this. There's no point him 115 00:07:00,040 --> 00:07:02,159 Speaker 2: stealing any of this money because he's got five hundred 116 00:07:02,200 --> 00:07:06,160 Speaker 2: billion dollars. I think it just it just bugs him. 117 00:07:06,200 --> 00:07:10,320 Speaker 2: Since he's got to run several public companies, it bugs 118 00:07:10,400 --> 00:07:13,360 Speaker 2: him that there's so much waste going on. He is 119 00:07:13,400 --> 00:07:17,880 Speaker 2: seen in his companies what waste and fraud can do, 120 00:07:19,520 --> 00:07:22,320 Speaker 2: and so he's doing They're just doing audits, by the way, 121 00:07:23,240 --> 00:07:25,600 Speaker 2: and if you find something, he presents it to Trump 122 00:07:25,600 --> 00:07:27,720 Speaker 2: and Trump's team and Trump will say, Okay, no more 123 00:07:27,720 --> 00:07:30,119 Speaker 2: of this, and he starts firing people. 124 00:07:30,120 --> 00:07:31,720 Speaker 1: Well that's rational, isn't it. 125 00:07:32,840 --> 00:07:36,080 Speaker 2: If we're wasting trillions of dollars every year and you 126 00:07:36,280 --> 00:07:41,240 Speaker 2: find specifically what some of the fraud and waste is about, Well, 127 00:07:41,320 --> 00:07:45,200 Speaker 2: then yeah, you hold them accountable and you fire him 128 00:07:45,240 --> 00:07:47,960 Speaker 2: or you demote them whatever. Well, why is this so terrible? 129 00:07:50,080 --> 00:07:54,960 Speaker 2: They're screaming, there's look, I heard today that there are 130 00:07:55,680 --> 00:07:59,640 Speaker 2: so many politicians, senators and senators I don't even know 131 00:07:59,640 --> 00:08:02,120 Speaker 2: if they get paid two hundred thousand a year, but 132 00:08:02,280 --> 00:08:04,360 Speaker 2: many of them are worth tens of millions of dollars, 133 00:08:04,400 --> 00:08:07,600 Speaker 2: and they made this money after they got into office. 134 00:08:08,280 --> 00:08:11,680 Speaker 2: And I'm thinking, well, no, wonder they're out screaling, because 135 00:08:11,720 --> 00:08:14,440 Speaker 2: if they investigate all this stuff deep enough, we're going 136 00:08:14,520 --> 00:08:17,480 Speaker 2: to find out that a significant number of people in office, 137 00:08:18,160 --> 00:08:20,600 Speaker 2: in the House and in the Senate were part of 138 00:08:20,640 --> 00:08:24,680 Speaker 2: these criminal operations, stealing money, having money, if not diverted 139 00:08:24,720 --> 00:08:27,840 Speaker 2: to them, directly diverted to their relatives and friends and 140 00:08:28,040 --> 00:08:32,680 Speaker 2: political donors nonprofits. 141 00:08:32,120 --> 00:08:34,520 Speaker 1: That's what the game is. 142 00:08:35,240 --> 00:08:39,680 Speaker 2: And so now they're setting their hair on fire because 143 00:08:39,720 --> 00:08:43,520 Speaker 2: they're afraid that they're going to be discovered as being 144 00:08:43,640 --> 00:08:47,800 Speaker 2: thieves crooks, and maybe they'll be consequences, maybe they'll go 145 00:08:47,800 --> 00:08:53,840 Speaker 2: to prison. Wouldn't that be great? So I anybody who 146 00:08:53,880 --> 00:08:58,200 Speaker 2: objects the latter they squeal, the more I suspect they're 147 00:08:58,240 --> 00:09:00,760 Speaker 2: in on the scam, that they have offited from the 148 00:09:00,760 --> 00:09:02,839 Speaker 2: scamp and they're afraid of getting caught. 149 00:09:03,880 --> 00:09:04,480 Speaker 1: We come back. 150 00:09:04,520 --> 00:09:07,439 Speaker 2: I'm gonna play you a clip of exactly what I'm 151 00:09:07,480 --> 00:09:10,800 Speaker 2: talking about here. Musk was in the Trump's office yesterday. 152 00:09:10,800 --> 00:09:14,160 Speaker 2: He probably saw him. He's standing next to Trump. Trump's 153 00:09:14,160 --> 00:09:16,000 Speaker 2: at the desk. It's the longest I've ever seen Trump 154 00:09:16,000 --> 00:09:19,960 Speaker 2: on television and not speak. And Musk was talking about 155 00:09:20,240 --> 00:09:25,320 Speaker 2: all the bureaucrats who apparently are worth far more money 156 00:09:25,920 --> 00:09:28,800 Speaker 2: than you'd think they'd be worth, considering their salaries. 157 00:09:29,280 --> 00:09:30,600 Speaker 1: So play that for you next. 158 00:09:31,480 --> 00:09:35,840 Speaker 3: You're listening to John Cobelt on demand from KFI AM 159 00:09:35,840 --> 00:09:36,679 Speaker 3: six forty. 160 00:09:37,720 --> 00:09:38,719 Speaker 1: All right, let me get to this. 161 00:09:39,000 --> 00:09:43,960 Speaker 2: Elon Musk standing in Trump's office yesterday in the Oval office, 162 00:09:44,320 --> 00:09:46,839 Speaker 2: and there are reporters around, and he talked for quite 163 00:09:46,840 --> 00:09:53,200 Speaker 2: a while. This this clip here has become, I guess, 164 00:09:53,200 --> 00:09:57,199 Speaker 2: the most popular clip with everything he said, because it 165 00:09:58,160 --> 00:10:02,760 Speaker 2: speaks to a suspicion that I think most intelligent, rational 166 00:10:02,800 --> 00:10:05,760 Speaker 2: people have about this mess. Plate cut number four and 167 00:10:05,920 --> 00:10:09,079 Speaker 2: you mentioned some of the things that your team has found, 168 00:10:09,400 --> 00:10:12,839 Speaker 2: some of the crazy numbers including the woman that walked 169 00:10:12,840 --> 00:10:14,200 Speaker 2: away with about thirty million. 170 00:10:15,000 --> 00:10:17,800 Speaker 4: Right. Well, we often we do find it's sort of 171 00:10:18,120 --> 00:10:21,040 Speaker 4: rather odd that, you know, there are quite a few 172 00:10:22,679 --> 00:10:28,680 Speaker 4: people in the perocracy who have ostensibly a salary of 173 00:10:28,720 --> 00:10:31,120 Speaker 4: a few hundred thousand dollars, but somehow managed to accrue 174 00:10:31,320 --> 00:10:34,160 Speaker 4: tens of millions of dollars in that worth while they 175 00:10:34,200 --> 00:10:37,760 Speaker 4: are in that position, which is, you know what happened 176 00:10:37,800 --> 00:10:39,920 Speaker 4: to usaid, we're just curious as to where it came from. 177 00:10:40,559 --> 00:10:43,360 Speaker 4: Maybe they're very good at investing, birch case, we should 178 00:10:43,360 --> 00:10:48,000 Speaker 4: take their investment advice, perhaps, but just there seems to 179 00:10:48,040 --> 00:10:51,400 Speaker 4: be mysteriously they get wealthy and we've done why where 180 00:10:51,440 --> 00:10:55,280 Speaker 4: did they come from? And I think the reality is 181 00:10:55,280 --> 00:10:58,760 Speaker 4: that they're getting wealthy. Detach their expense, that's the honest. 182 00:10:58,559 --> 00:10:59,080 Speaker 1: Truth of it. 183 00:11:00,440 --> 00:11:03,760 Speaker 2: How does somebody working in government who is making six 184 00:11:03,800 --> 00:11:06,680 Speaker 2: figures and they shouldn't be making six figures, but put 185 00:11:06,679 --> 00:11:09,800 Speaker 2: that aside, they're making six figures and they end up 186 00:11:09,800 --> 00:11:14,520 Speaker 2: with tens of millions of dollars. And maybe this is 187 00:11:14,559 --> 00:11:18,480 Speaker 2: the answer to the question. Our taxes are really high. 188 00:11:18,920 --> 00:11:24,480 Speaker 2: My taxes are really high, and no matter how much 189 00:11:24,520 --> 00:11:29,120 Speaker 2: money they collect, the debt gets bigger and bigger and bigger, 190 00:11:30,320 --> 00:11:32,560 Speaker 2: and I don't get anything back for it. I don't 191 00:11:32,559 --> 00:11:35,360 Speaker 2: think most people here in California get much back for 192 00:11:35,440 --> 00:11:39,040 Speaker 2: all their taxes. Right, You're in La. The school district 193 00:11:39,120 --> 00:11:45,200 Speaker 2: really danks. The roads are disgusting. LA only has half 194 00:11:45,200 --> 00:11:50,000 Speaker 2: a fire department. They're thousands of officers short. I mean, 195 00:11:50,040 --> 00:11:51,400 Speaker 2: you know, you go back to the basics. What do 196 00:11:51,480 --> 00:11:56,760 Speaker 2: you want from a government here in California? You want police, fire, schools, roads, 197 00:11:57,360 --> 00:12:02,319 Speaker 2: and a few other things. And yet we've got trillions 198 00:12:02,320 --> 00:12:06,120 Speaker 2: of dollars being spent in Washington, hundreds of billions here 199 00:12:06,160 --> 00:12:07,840 Speaker 2: in California, and we don't have anything. 200 00:12:08,280 --> 00:12:09,000 Speaker 1: Where'd the money go? 201 00:12:09,120 --> 00:12:11,160 Speaker 2: And you know, I used to think that since I 202 00:12:11,280 --> 00:12:14,000 Speaker 2: was probably a teenager, I thought, are they stealing it? 203 00:12:15,559 --> 00:12:17,640 Speaker 1: And yeah, they are, They're stealing it. 204 00:12:18,320 --> 00:12:21,600 Speaker 2: There's no way if you have a salary of a 205 00:12:21,600 --> 00:12:23,719 Speaker 2: couple hundred thousand dollars a year, you end up with 206 00:12:23,800 --> 00:12:24,680 Speaker 2: tens of millions of dollars. 207 00:12:24,760 --> 00:12:29,960 Speaker 1: There's no investment that gives you that unless you just 208 00:12:30,040 --> 00:12:31,760 Speaker 1: think it off the top of my head. 209 00:12:34,400 --> 00:12:38,400 Speaker 2: Steer money to a nonprofit that your family members are running, 210 00:12:39,360 --> 00:12:42,880 Speaker 2: and you make sure that every year a million dollars 211 00:12:42,960 --> 00:12:45,960 Speaker 2: or two million or five million gets allocated to this nonprofit. 212 00:12:46,160 --> 00:12:49,040 Speaker 1: And this nonprofit can you know, address. 213 00:12:48,720 --> 00:12:53,160 Speaker 2: Poverty, sick children, homeless people, drug addicts, you know any 214 00:12:53,200 --> 00:12:56,679 Speaker 2: of that, right, and the money never helps anyone. I 215 00:12:56,720 --> 00:12:59,600 Speaker 2: mean that's going on in La right. We got seventy 216 00:12:59,640 --> 00:13:02,240 Speaker 2: thousand people living in the streets in La County, forty 217 00:13:02,240 --> 00:13:04,800 Speaker 2: five thousand just in the city. And year after year 218 00:13:04,840 --> 00:13:07,200 Speaker 2: after year we put we spend billions of dollars and 219 00:13:07,240 --> 00:13:10,319 Speaker 2: there's more of them. Nobody gets treated for the mental 220 00:13:10,320 --> 00:13:13,800 Speaker 2: health problems. Nobody gets treated for their their their drug addictions. 221 00:13:14,160 --> 00:13:16,400 Speaker 2: And the bodies keep piling up everywhere, and they're dying 222 00:13:16,400 --> 00:13:18,080 Speaker 2: in the street, and it's like, well, wait a second, 223 00:13:18,840 --> 00:13:22,440 Speaker 2: what's all the money was stolen? Suddenly it all makes sense. 224 00:13:23,440 --> 00:13:26,440 Speaker 2: This is not failed drug treatment, This is not failed 225 00:13:27,720 --> 00:13:32,960 Speaker 2: homeless services, failed the mental health clinic services. No, this 226 00:13:33,240 --> 00:13:39,680 Speaker 2: is theft. The people in the government direct the money 227 00:13:39,679 --> 00:13:42,600 Speaker 2: to nonprofits that they and their friends and family members 228 00:13:42,679 --> 00:13:43,439 Speaker 2: benefit from. 229 00:13:45,000 --> 00:13:46,719 Speaker 1: They could get fat salaries, and. 230 00:13:46,679 --> 00:13:49,960 Speaker 2: They could also take the money at these nonprofits and 231 00:13:50,000 --> 00:13:55,040 Speaker 2: then disperse it to other related companies. But again, you 232 00:13:55,160 --> 00:13:58,560 Speaker 2: just don't you don't fill fill out the forms You 233 00:13:58,600 --> 00:14:02,640 Speaker 2: don't put what the money is going for, or even 234 00:14:02,679 --> 00:14:05,840 Speaker 2: what agency or what other nonprofit. 235 00:14:07,120 --> 00:14:08,679 Speaker 1: Is getting the money to begin with. 236 00:14:08,720 --> 00:14:11,440 Speaker 2: You just root it to a bank account, which roots 237 00:14:11,440 --> 00:14:13,480 Speaker 2: it to another one and another one. That's really what 238 00:14:13,520 --> 00:14:17,880 Speaker 2: they do. So I think that, Remember, we have three examples. 239 00:14:17,920 --> 00:14:21,200 Speaker 2: I keep repeating. We know billions in high speed rail 240 00:14:21,240 --> 00:14:24,960 Speaker 2: money disappeared, we have no rail. We know Newsom said 241 00:14:25,000 --> 00:14:28,760 Speaker 2: twenty four billion in state homeless money disappeared. We have 242 00:14:30,160 --> 00:14:32,720 Speaker 2: we have more homeless than ever, same thing in La County, 243 00:14:32,760 --> 00:14:35,680 Speaker 2: billions of dollars, more homeless than ever. And nobody can 244 00:14:35,760 --> 00:14:38,520 Speaker 2: say where all the homeless billions went because they stole it. 245 00:14:38,520 --> 00:14:40,000 Speaker 2: It has to be that, right. What would be the 246 00:14:40,000 --> 00:14:44,160 Speaker 2: other reason? If I'm wrong? What's the other reason the 247 00:14:44,240 --> 00:14:49,080 Speaker 2: fifty billion dollars in COVID money for untemployment disappeared. They'll 248 00:14:49,080 --> 00:14:54,240 Speaker 2: admit that went overseas to fraudsters, But are how many 249 00:14:54,320 --> 00:14:59,320 Speaker 2: people within the agency were connected to these fraudsters. So 250 00:14:59,480 --> 00:15:03,320 Speaker 2: I think what we have is we have a middle class, 251 00:15:03,560 --> 00:15:08,680 Speaker 2: white collar criminal element that works in these bureaucracies who 252 00:15:09,000 --> 00:15:12,760 Speaker 2: want to be rich, and they all collectively figured out 253 00:15:12,760 --> 00:15:14,760 Speaker 2: how to be rich and leave little to no evidence 254 00:15:14,800 --> 00:15:20,880 Speaker 2: behind If I'm wrong, then what's the other story? If 255 00:15:20,960 --> 00:15:25,160 Speaker 2: Musk is wrong, what's the other story. He's looking at 256 00:15:25,160 --> 00:15:27,560 Speaker 2: people worth tens of millions of dollars who make a 257 00:15:28,000 --> 00:15:31,160 Speaker 2: couple of hundred thousand dollars. So how did they get there? 258 00:15:31,160 --> 00:15:33,360 Speaker 2: How do you get from A to B? I mean, 259 00:15:33,360 --> 00:15:34,400 Speaker 2: what's that investment? 260 00:15:34,400 --> 00:15:35,000 Speaker 1: I want to know that. 261 00:15:37,920 --> 00:15:41,360 Speaker 2: I don't think there's an investment. I think they steer 262 00:15:41,360 --> 00:15:47,160 Speaker 2: the money to mystery nonprofit charities just for starters. There's 263 00:15:47,280 --> 00:15:50,280 Speaker 2: probably fifteen hundred ways that they do it. But that's 264 00:15:50,320 --> 00:15:52,240 Speaker 2: what I think is really common. There's got to be 265 00:15:52,280 --> 00:15:53,920 Speaker 2: going on here in LA. It's got to be going 266 00:15:53,960 --> 00:15:58,120 Speaker 2: on in Sacramento, because if it isn't, then what's the explanation. 267 00:15:58,640 --> 00:16:01,200 Speaker 2: It's got to be an explanation. I don't think any 268 00:16:01,240 --> 00:16:04,880 Speaker 2: of this it went for homeless. Otherwise we wouldn't have 269 00:16:04,880 --> 00:16:06,720 Speaker 2: more and more and more and more. Something would have worked, right, 270 00:16:06,840 --> 00:16:09,520 Speaker 2: something You would have gotten somebody off drugs, somebody would 271 00:16:09,520 --> 00:16:11,800 Speaker 2: have gotten treated for the metal illness. Somebody would have 272 00:16:11,880 --> 00:16:13,680 Speaker 2: ended up in a shelter and made its way. No, 273 00:16:14,200 --> 00:16:16,560 Speaker 2: but they don't. They increased the number of people on 274 00:16:16,600 --> 00:16:17,880 Speaker 2: the streets. How do you do that? It's like a 275 00:16:17,920 --> 00:16:23,320 Speaker 2: magic trick. All right, we come back this one. Your 276 00:16:23,320 --> 00:16:26,600 Speaker 2: hair is going to fall out. I don't even know 277 00:16:26,600 --> 00:16:28,000 Speaker 2: how I want to tease this. 278 00:16:28,080 --> 00:16:35,400 Speaker 1: I want it. What Musk found this out? Do you know? 279 00:16:36,360 --> 00:16:40,040 Speaker 2: Do you know where the processing center is to pay 280 00:16:40,160 --> 00:16:46,160 Speaker 2: for to process federal workers retirement papers? Do you know 281 00:16:46,200 --> 00:16:50,960 Speaker 2: where it is? It's way underground in a limestone mine. 282 00:16:52,720 --> 00:16:56,560 Speaker 2: And everything they do in the limestone mine is paper 283 00:16:56,640 --> 00:17:01,240 Speaker 2: and Manila folders. They process everything by hand. I will 284 00:17:01,280 --> 00:17:04,440 Speaker 2: give you this story just broke a couple of hours ago. 285 00:17:05,000 --> 00:17:08,560 Speaker 2: Musk announced it. A limestone mine in Pennsylvania is where 286 00:17:08,560 --> 00:17:14,480 Speaker 2: they have where they process all the federal workers retirement papers. Honestly, 287 00:17:14,600 --> 00:17:19,520 Speaker 2: you were this one. And if he's found this that quickly, 288 00:17:19,640 --> 00:17:22,359 Speaker 2: what else is out there? We'll tell you more when 289 00:17:22,400 --> 00:17:22,760 Speaker 2: we come back. 290 00:17:23,760 --> 00:17:28,119 Speaker 3: You're listening to John Cobels on demand from KFI AM 291 00:17:28,119 --> 00:17:28,680 Speaker 3: six forty. 292 00:17:29,520 --> 00:17:33,720 Speaker 2: This story about the latest thing Musk and his doge 293 00:17:33,800 --> 00:17:36,080 Speaker 2: unit has found is one of the stories that I 294 00:17:36,119 --> 00:17:39,480 Speaker 2: looked at like twice three times. It's like, no, this 295 00:17:39,560 --> 00:17:41,959 Speaker 2: can't be. I look to see is this is this 296 00:17:42,200 --> 00:17:49,160 Speaker 2: a parody site? I stumbled onto. No, this is real, 297 00:17:49,359 --> 00:17:54,439 Speaker 2: Elon Musk said, that the Department of Government Efficiency is 298 00:17:54,480 --> 00:18:02,960 Speaker 2: now investigating a limestone mine in Pennsylvania. Ten thousand federal employees. 299 00:18:03,600 --> 00:18:07,919 Speaker 2: Up to ten thousand can retire in a month. They 300 00:18:07,920 --> 00:18:12,119 Speaker 2: have a lot of old employees. What happens when you 301 00:18:12,480 --> 00:18:14,960 Speaker 2: retire is you have to fill out paperwork, right, so 302 00:18:15,160 --> 00:18:18,520 Speaker 2: make sure you qualify for pensions and healthcare. Whatever the 303 00:18:18,520 --> 00:18:23,720 Speaker 2: perks are. Deadwood gets a lot of perks. Deadwood has 304 00:18:23,920 --> 00:18:28,000 Speaker 2: very comfortable retirements that can go on for forty plus years. 305 00:18:28,840 --> 00:18:38,400 Speaker 2: So they apparently what the setup is. It's a limestone 306 00:18:38,440 --> 00:18:44,120 Speaker 2: mine in Pennsylvania, in Boyer's, Pennsylvania. It's sixty miles north 307 00:18:44,119 --> 00:18:48,520 Speaker 2: of Pittsburgh. There are seven hundred federal workers that operate 308 00:18:48,640 --> 00:18:54,040 Speaker 2: get this twenty two hundred and thirty feet underground, so 309 00:18:54,080 --> 00:18:58,560 Speaker 2: they're about twenty three stories underground to process ten thousand 310 00:18:58,720 --> 00:19:05,879 Speaker 2: federal applications month. They're processed by hand using paper, and 311 00:19:05,920 --> 00:19:09,800 Speaker 2: then after the processing, they're stored in manila envelopes and 312 00:19:09,840 --> 00:19:14,920 Speaker 2: the envelopes are put into cardboard boxes. There's no computers, 313 00:19:15,600 --> 00:19:19,520 Speaker 2: there's no AI, there's no electronics storage of. 314 00:19:19,400 --> 00:19:21,160 Speaker 1: The data of any kind. 315 00:19:21,280 --> 00:19:24,919 Speaker 2: And they have photos and the photos look like an 316 00:19:25,000 --> 00:19:29,080 Speaker 2: underground warehouse. The walls in the ceiling made of limestone, 317 00:19:29,720 --> 00:19:37,320 Speaker 2: and wouldn't you know it, there are shelves with cardboard 318 00:19:37,359 --> 00:19:42,719 Speaker 2: boxes inside the boxes or all these Manila folders, and 319 00:19:42,800 --> 00:19:45,200 Speaker 2: it's stacked up one, two, three, four, five, six, seven, 320 00:19:45,320 --> 00:19:51,960 Speaker 2: eight nine, about ten shelves high, and the aisles go 321 00:19:52,080 --> 00:19:57,440 Speaker 2: on forever. You ever seen photos of Amazon Amazon warehouses, 322 00:19:57,560 --> 00:20:02,480 Speaker 2: it's the same idea. So it's about ten shells high. 323 00:20:02,720 --> 00:20:07,000 Speaker 2: The aisle goes off into eternity, and it's cardboard boxes 324 00:20:07,000 --> 00:20:10,520 Speaker 2: with Manila folders. And that is the entire federal retirement system. 325 00:20:11,920 --> 00:20:15,359 Speaker 2: Do you know how long, how slow, how inefficient that 326 00:20:15,440 --> 00:20:18,919 Speaker 2: must be? How many employees did I say they have? 327 00:20:20,400 --> 00:20:29,000 Speaker 2: I seven hundred of them. I'm just astonished by this 328 00:20:29,760 --> 00:20:33,320 Speaker 2: in a limestone. The Washington Post did an article on 329 00:20:33,359 --> 00:20:37,359 Speaker 2: this over ten years ago, describing it as a sinkhole 330 00:20:37,440 --> 00:20:38,320 Speaker 2: of bureaucracy. 331 00:20:40,320 --> 00:20:42,240 Speaker 1: And at the time, we were. 332 00:20:42,119 --> 00:20:47,800 Speaker 2: Spending fifty five million dollars a year on this limestone mine. 333 00:20:48,000 --> 00:20:50,880 Speaker 2: They have tried, You're not gonna believe this for almost 334 00:20:50,920 --> 00:20:55,240 Speaker 2: forty years to digitize the system since nineteen eighty seven. 335 00:20:56,840 --> 00:20:57,520 Speaker 1: They never have. 336 00:20:58,680 --> 00:21:04,520 Speaker 2: Every attempt digitizing failed and was eventually scrapped. They spent 337 00:21:04,600 --> 00:21:09,000 Speaker 2: one hundred and thirty million dollars on failed efforts to 338 00:21:09,080 --> 00:21:13,879 Speaker 2: digitize these federal worker retirement applications. 339 00:21:13,920 --> 00:21:14,639 Speaker 1: How could this be? 340 00:21:16,359 --> 00:21:21,000 Speaker 2: Musk says, the facility was opened in nineteen fifty five, 341 00:21:21,800 --> 00:21:26,640 Speaker 2: So this is the way they did business seventy years ago, 342 00:21:28,560 --> 00:21:33,240 Speaker 2: and it never advanced beyond nineteen fifty five Manila folders, 343 00:21:37,280 --> 00:21:40,840 Speaker 2: manual processing, cardboard boxes. 344 00:21:44,119 --> 00:21:45,359 Speaker 1: Because it's so slow. 345 00:21:46,320 --> 00:21:50,359 Speaker 2: If you retire, it can take any number of months 346 00:21:50,680 --> 00:21:55,840 Speaker 2: before they process your retirement. Do you know what else 347 00:21:55,920 --> 00:22:00,639 Speaker 2: limits the process? The speed it would which the mind 348 00:22:00,680 --> 00:22:02,480 Speaker 2: shaft elevator moves. 349 00:22:04,200 --> 00:22:04,919 Speaker 1: How could this be? 350 00:22:06,800 --> 00:22:12,280 Speaker 2: And how fast the mind shaft elevator moves determines how 351 00:22:12,280 --> 00:22:15,600 Speaker 2: many people can retire from the federal government, said Musk. 352 00:22:16,960 --> 00:22:23,119 Speaker 2: And the elevator breaks down sometimes and then nobody can retire. Seriously, 353 00:22:23,680 --> 00:22:26,000 Speaker 2: So you have a job with the federal government, you're 354 00:22:26,080 --> 00:22:29,360 Speaker 2: entitled to retirement, you're entitled to the benefits. You can't retire. 355 00:22:29,520 --> 00:22:32,639 Speaker 2: Why can't I retire? Well, the elevator in the mine 356 00:22:32,640 --> 00:22:36,679 Speaker 2: shaft broke down, so we can't process your claim. You 357 00:22:36,720 --> 00:22:41,440 Speaker 2: can't make this up. I saw these these these idiots 358 00:22:41,440 --> 00:22:43,480 Speaker 2: on CNN last night, saying, well, he's not providing any 359 00:22:43,520 --> 00:22:47,119 Speaker 2: prof of this, and he's not providing any do you 360 00:22:47,200 --> 00:22:50,200 Speaker 2: actually think they're making this up? I mean, there are 361 00:22:50,240 --> 00:22:55,119 Speaker 2: photos of the of the limestone mine and the shelves. 362 00:22:59,000 --> 00:23:03,199 Speaker 2: This has got to be the most inefficient, least productive 363 00:23:03,240 --> 00:23:06,560 Speaker 2: system I've ever seen. And this is what all the 364 00:23:06,600 --> 00:23:12,560 Speaker 2: progressives are criticizing, screaming, not even making like our rational argument, 365 00:23:12,680 --> 00:23:15,280 Speaker 2: having a civilized discussion on it. 366 00:23:15,320 --> 00:23:16,920 Speaker 1: They are screaming. 367 00:23:16,960 --> 00:23:20,680 Speaker 2: They're in the street screaming, They're holding hearings and screaming. 368 00:23:21,480 --> 00:23:25,639 Speaker 2: They've all got severe personality disorders. And I see this 369 00:23:25,800 --> 00:23:27,439 Speaker 2: articles like what are they against this? 370 00:23:27,760 --> 00:23:27,960 Speaker 1: Now? 371 00:23:28,080 --> 00:23:30,840 Speaker 2: What was the benefit of keeping this? It must have 372 00:23:31,040 --> 00:23:34,840 Speaker 2: benefited somebody? And why can't they buy a Why is 373 00:23:34,880 --> 00:23:38,960 Speaker 2: it the government can't buy computer systems that make things 374 00:23:38,960 --> 00:23:42,240 Speaker 2: work efficiently? We don't have any in California either. Remember 375 00:23:42,520 --> 00:23:50,480 Speaker 2: the DMV had processing systems from the nineteen seventies, which 376 00:23:50,520 --> 00:23:54,400 Speaker 2: is why up until recently we had ridiculously long lines 377 00:23:54,600 --> 00:23:57,960 Speaker 2: if you went to the DMV, because they were literally 378 00:23:58,040 --> 00:24:03,439 Speaker 2: fifty years behind the center of the technological universe is 379 00:24:03,520 --> 00:24:07,679 Speaker 2: in our state. And every time the issue comes up, 380 00:24:07,680 --> 00:24:11,359 Speaker 2: I always thought, it's like, we've got you know, I 381 00:24:11,359 --> 00:24:14,280 Speaker 2: don't know, hundreds of thousands of musk like geniuses that 382 00:24:14,359 --> 00:24:18,520 Speaker 2: could fix this system, probably in a matter of weeks, 383 00:24:19,280 --> 00:24:20,800 Speaker 2: and they don't do it, and they never spend money 384 00:24:20,840 --> 00:24:25,879 Speaker 2: on it because they're stealing the money, that's why. And 385 00:24:25,920 --> 00:24:28,560 Speaker 2: if you have an electronic system that would detect the 386 00:24:28,600 --> 00:24:32,720 Speaker 2: fraud very quickly, wouldn't it. Oh, looks like I think 387 00:24:32,720 --> 00:24:35,800 Speaker 2: we figured it out. The reason they don't update it 388 00:24:35,880 --> 00:24:41,479 Speaker 2: is it keeps the outside world from figuring out how 389 00:24:41,520 --> 00:24:46,240 Speaker 2: much money is being stolen. Because if you have to 390 00:24:46,280 --> 00:24:49,640 Speaker 2: get on a broken elevator and go twenty three stories 391 00:24:49,680 --> 00:24:52,920 Speaker 2: down into the earth in a mind shaft to inspect 392 00:24:52,960 --> 00:24:55,520 Speaker 2: government records, and then you find out they're all in 393 00:24:55,560 --> 00:24:59,960 Speaker 2: cardboard boxes and Manila folders and there's no electronic records, 394 00:25:00,000 --> 00:25:04,439 Speaker 2: it's no computers at all. Well, how are you going 395 00:25:04,520 --> 00:25:06,680 Speaker 2: to find all the fraud? How are you going to 396 00:25:06,720 --> 00:25:07,639 Speaker 2: find who's stealing what? 397 00:25:07,760 --> 00:25:08,040 Speaker 1: You're not? 398 00:25:11,400 --> 00:25:14,280 Speaker 2: So anything can happen and the outside world will never 399 00:25:14,359 --> 00:25:17,240 Speaker 2: know because they can't physically get to the mind shaft 400 00:25:18,040 --> 00:25:20,879 Speaker 2: when the elevator breaks. I bet you the elevator breaks 401 00:25:20,880 --> 00:25:21,160 Speaker 2: a lot. 402 00:25:21,240 --> 00:25:21,560 Speaker 1: I bet you. 403 00:25:21,640 --> 00:25:24,959 Speaker 2: Every time somebody wanted to investigate this, this particular department 404 00:25:25,000 --> 00:25:33,600 Speaker 2: of the elevator cable snapped. That's a limestone mine and 405 00:25:33,760 --> 00:25:36,440 Speaker 2: this has just got to be the beginning. Here's another 406 00:25:36,480 --> 00:25:41,040 Speaker 2: photo of it. Yeah, it's carved into what looks like 407 00:25:41,160 --> 00:25:44,800 Speaker 2: the cyb of a mountain. Seven hundred workers. 408 00:25:46,520 --> 00:25:46,840 Speaker 1: Wow. 409 00:25:47,920 --> 00:25:49,960 Speaker 2: I think this is going to be the most entertaining 410 00:25:50,040 --> 00:25:53,520 Speaker 2: year we have ever had in this country because they've 411 00:25:53,520 --> 00:25:54,840 Speaker 2: only been in power for three weeks. 412 00:25:56,000 --> 00:26:02,240 Speaker 3: You're listening to John Cobels on demand from KFI Weistline. 413 00:26:02,280 --> 00:26:04,800 Speaker 2: Yeah, Moistline is back for Friday eight seven seven Moist 414 00:26:04,840 --> 00:26:08,040 Speaker 2: eighty six, eight seven seven Moist eighty six, or use 415 00:26:08,119 --> 00:26:11,680 Speaker 2: the talkback feature on the iHeartRadio app. And if you 416 00:26:11,680 --> 00:26:13,520 Speaker 2: want to follow us on social media, it's at John 417 00:26:13,560 --> 00:26:19,760 Speaker 2: Cobelt Radio at John Cobelt Radio. Coming up after two o'clock, 418 00:26:20,160 --> 00:26:24,040 Speaker 2: we're going to talk with Joe Khalil. He's the Capitol 419 00:26:24,080 --> 00:26:29,760 Speaker 2: Hill correspondent for a News nation. And they had a 420 00:26:30,880 --> 00:26:38,119 Speaker 2: committee hearing with the Government Efficiency Subcommittee, and this is 421 00:26:38,160 --> 00:26:42,280 Speaker 2: a subcommittee run by the Republicans in Congress and they partner, 422 00:26:42,320 --> 00:26:47,679 Speaker 2: they're like partners with Elon Musk and his DOGE agency, 423 00:26:48,320 --> 00:26:52,560 Speaker 2: and I think they're supposed to be passing legislation that 424 00:26:52,640 --> 00:26:57,280 Speaker 2: might be necessary to clean up the disgusting, gross mess 425 00:26:57,600 --> 00:27:03,480 Speaker 2: that's going on in Washington that's being uncovered, like the 426 00:27:03,560 --> 00:27:08,920 Speaker 2: Limestone mine that's processing retirements manually two hundred and thirty 427 00:27:08,920 --> 00:27:12,280 Speaker 2: feet below the surface of the earth. Stuff like that. 428 00:27:12,600 --> 00:27:15,280 Speaker 2: And we're also going to talk with Royal Oaks legal analyst. 429 00:27:15,480 --> 00:27:20,119 Speaker 2: And there's a group of federal inspector generals that Trump 430 00:27:20,160 --> 00:27:24,360 Speaker 2: fired and now they're suing the Trump administration claiming their 431 00:27:24,400 --> 00:27:27,040 Speaker 2: firings were illegal, And we're gonna talk to Royal Oak 432 00:27:27,080 --> 00:27:30,320 Speaker 2: about where looks about that issue. And just the you're 433 00:27:30,359 --> 00:27:33,080 Speaker 2: hearing all this, all this arguing whether Trump and Musk 434 00:27:33,320 --> 00:27:36,040 Speaker 2: whether they have the right to do what they're doing. 435 00:27:37,000 --> 00:27:40,000 Speaker 2: You keep hearing phrases like constitutional crisis, and. 436 00:27:42,680 --> 00:27:43,680 Speaker 1: It seems to. 437 00:27:43,640 --> 00:27:48,119 Speaker 2: Me to my untrained legal mind, that it's just a 438 00:27:48,160 --> 00:27:51,320 Speaker 2: lot of hot air and nonsense because they can't do 439 00:27:51,359 --> 00:27:55,000 Speaker 2: anything to stop what's going on. So we'll get to 440 00:27:55,040 --> 00:27:55,679 Speaker 2: that coming up. 441 00:27:57,359 --> 00:27:57,600 Speaker 4: Now. 442 00:27:58,040 --> 00:28:03,879 Speaker 2: Another guy that Trump fired was the watchdog, the inspector 443 00:28:03,960 --> 00:28:07,680 Speaker 2: general for this agency that's in the news, US Agency 444 00:28:07,760 --> 00:28:13,119 Speaker 2: for International Development USAID. And remember we told you yesterday 445 00:28:13,440 --> 00:28:18,760 Speaker 2: that USAID had paid for the college education of a 446 00:28:18,880 --> 00:28:23,320 Speaker 2: terrorist who had a strong connection to the Fort Hood 447 00:28:23,359 --> 00:28:26,360 Speaker 2: shooting in two thousand and nine in Texas. Remember when 448 00:28:27,000 --> 00:28:36,600 Speaker 2: thirteen thirteen people were shot dead by what was his name, 449 00:28:36,680 --> 00:28:41,600 Speaker 2: Nadel Hassan. He was the terrorist and his spiritual advisor 450 00:28:41,760 --> 00:28:45,560 Speaker 2: was and we're Alacke. And yesterday we told you that 451 00:28:45,600 --> 00:28:49,920 Speaker 2: Alacke was born in this country. He was an American citizen, 452 00:28:50,320 --> 00:28:52,760 Speaker 2: but he lied on his application by claiming he was 453 00:28:52,800 --> 00:28:53,600 Speaker 2: born in Yemen. 454 00:28:54,960 --> 00:28:57,040 Speaker 1: Actually born in New Mexico. He was born in Yemen, 455 00:28:57,760 --> 00:28:58,240 Speaker 1: and he. 456 00:28:58,280 --> 00:29:02,520 Speaker 2: Did that to to get his tuition paid for by 457 00:29:02,560 --> 00:29:08,440 Speaker 2: the US government, and USAID paid the money. It was 458 00:29:08,480 --> 00:29:10,680 Speaker 2: worth more than twenty seven thousand dollars at the time. 459 00:29:10,720 --> 00:29:14,280 Speaker 2: It was nineteen ninety It was Colorado State University. And 460 00:29:15,040 --> 00:29:19,520 Speaker 2: he used his education and went on to recruit and 461 00:29:19,560 --> 00:29:22,880 Speaker 2: groom terrorists for attacks on the US. He got a 462 00:29:22,880 --> 00:29:25,760 Speaker 2: bachelor's degree in civil engineering in nineteen ninety four, and 463 00:29:25,800 --> 00:29:28,600 Speaker 2: then he started teaching Islam at mosques around the country 464 00:29:29,200 --> 00:29:32,600 Speaker 2: and he would radicalize and recruit terrorists, including Nadal Hassan, 465 00:29:32,600 --> 00:29:34,760 Speaker 2: who went on to kill thirteen people at Fort Hood. 466 00:29:36,560 --> 00:29:42,640 Speaker 2: Now this story broke yesterday and they immediately fired the 467 00:29:42,680 --> 00:29:47,240 Speaker 2: Inspector General named Paul Martin, and Martin was not given 468 00:29:47,280 --> 00:29:50,360 Speaker 2: a reason for his firing, and the White House would 469 00:29:50,400 --> 00:29:54,760 Speaker 2: comment on the termination. Now, I doubt he had anything 470 00:29:54,800 --> 00:30:01,040 Speaker 2: to do with Nadal with anwar al Alackey getting his 471 00:30:01,040 --> 00:30:05,600 Speaker 2: college paid for thirty five years ago. But maybe he 472 00:30:05,720 --> 00:30:12,080 Speaker 2: didn't cooperate with the investigation. Maybe somehow he stonewalled. It's 473 00:30:12,280 --> 00:30:16,320 Speaker 2: just I mean, Alache was such a bad guy. He 474 00:30:16,480 --> 00:30:19,800 Speaker 2: really helped radicalize a lot of terrorists. In fact, he 475 00:30:19,840 --> 00:30:23,520 Speaker 2: even met two of the nine to eleven terrorists in 476 00:30:23,560 --> 00:30:25,480 Speaker 2: the year two thousand when he was preaching at a 477 00:30:25,520 --> 00:30:29,440 Speaker 2: mosque in San Diego. So he was like the spiritual 478 00:30:29,520 --> 00:30:31,680 Speaker 2: glue for many of these guys at the height of 479 00:30:31,720 --> 00:30:36,000 Speaker 2: the al Qaeda attacks in this country. And to find 480 00:30:36,040 --> 00:30:40,080 Speaker 2: out that we paid for his education here is really galling. 481 00:30:40,120 --> 00:30:44,360 Speaker 2: Now if you remember, Obama actually droned this guy. Yeah, 482 00:30:44,480 --> 00:30:51,920 Speaker 2: drone strike turned Aloche into a bunch of molecules, I 483 00:30:51,920 --> 00:30:55,320 Speaker 2: think at twenty eleven, after they had discovered his connections 484 00:30:55,320 --> 00:31:01,280 Speaker 2: to the Fort Hood shooting. But whatever happened in ninety uh, 485 00:31:01,440 --> 00:31:12,280 Speaker 2: this current Inspector general doesn't nobody else say why. But 486 00:31:12,600 --> 00:31:15,080 Speaker 2: the atridity of this corruption has been going on for 487 00:31:15,240 --> 00:31:19,920 Speaker 2: decades and has been ignored or covered up, never investigated 488 00:31:20,160 --> 00:31:25,960 Speaker 2: by all the administrations and Congress and the Senate, and somebody. 489 00:31:26,320 --> 00:31:28,640 Speaker 2: This morning one of the news channels said, boy must 490 00:31:28,640 --> 00:31:33,959 Speaker 2: better have like the best personal security because he's going 491 00:31:34,000 --> 00:31:36,360 Speaker 2: to create so many enemies here. You know, a lot 492 00:31:36,400 --> 00:31:39,440 Speaker 2: of this corruption is going to go back to federal 493 00:31:39,480 --> 00:31:44,120 Speaker 2: officials in various cabinets, maybe presidents and vice presidents, maybe 494 00:31:44,160 --> 00:31:47,600 Speaker 2: senators and congressmen. They have to be involved in this corruption, 495 00:31:48,160 --> 00:31:52,280 Speaker 2: certainly agency heads over the years. Somebody allowed this to 496 00:31:52,320 --> 00:31:54,520 Speaker 2: go on. Somebody knew this that they might have been 497 00:31:54,520 --> 00:31:58,240 Speaker 2: profiting from it. When whever you look up the net worth, 498 00:31:59,040 --> 00:32:01,600 Speaker 2: I mean I heard I heard today like Elizabeth Warren, right, 499 00:32:01,920 --> 00:32:05,800 Speaker 2: she's always screaming about how consumers are getting screwed and 500 00:32:05,840 --> 00:32:10,720 Speaker 2: how the rich corporations and billionaires are taking advantage. Found 501 00:32:10,720 --> 00:32:14,400 Speaker 2: out today she's worth twelve million dollars and the US 502 00:32:14,440 --> 00:32:16,920 Speaker 2: Senate salary pays less than two hundred thousand. So how'd 503 00:32:16,960 --> 00:32:19,680 Speaker 2: she get to twelve million? Why is she screaming about 504 00:32:19,680 --> 00:32:24,040 Speaker 2: other wealthy people? I mean, how do you get from 505 00:32:24,040 --> 00:32:26,880 Speaker 2: two hundred thousand dollars a year to twelve million dollars. 506 00:32:27,360 --> 00:32:29,720 Speaker 2: Maybe maybe she married into money. I don't know, but 507 00:32:29,760 --> 00:32:33,800 Speaker 2: the inheritance or you know, some of these people like no, 508 00:32:33,960 --> 00:32:38,200 Speaker 2: must be stealing it. But we'll find out. But yeah, 509 00:32:38,520 --> 00:32:41,600 Speaker 2: Musk must better better watch himself. Do you think he's 510 00:32:41,640 --> 00:32:44,920 Speaker 2: wearing bullet clues bullet proof clothes all the time? 511 00:32:45,520 --> 00:32:50,920 Speaker 1: Oh? I would? I mean you look what happened to Epstein. Wow. Yeah. 512 00:32:51,120 --> 00:32:54,960 Speaker 2: Anybody who's has that kind of that kind of information 513 00:32:55,080 --> 00:32:59,440 Speaker 2: that will destroy other people's lives, whether it's sexual information 514 00:32:59,600 --> 00:33:05,920 Speaker 2: or financial scandal information. People at this level they hire hitmen. 515 00:33:06,280 --> 00:33:09,520 Speaker 2: They take you out, they take you out, destroy the evidence, 516 00:33:09,560 --> 00:33:14,360 Speaker 2: and then you know, they save themselves. So I'm not 517 00:33:14,800 --> 00:33:17,320 Speaker 2: these guys like Trump and Moss shouldn't worry about terrorists. 518 00:33:17,320 --> 00:33:19,960 Speaker 2: They should worry about the people they're working with right 519 00:33:20,000 --> 00:33:23,520 Speaker 2: now in Washington, DC, because those are the guys who 520 00:33:23,600 --> 00:33:28,240 Speaker 2: might do something, do something dramatic. All right, we come back. 521 00:33:28,640 --> 00:33:31,000 Speaker 2: We're going to talk with a reporter from News Nation. 522 00:33:32,120 --> 00:33:34,760 Speaker 2: He's the Capitol Hill correspondent, Joe Khalil. That's next ever 523 00:33:34,840 --> 00:33:37,200 Speaker 2: Mark Live in the CAFI twenty four hour Newsroom. Hey, 524 00:33:37,480 --> 00:33:40,000 Speaker 2: you've been listening to the John Cobalt Show podcast. You 525 00:33:40,040 --> 00:33:42,640 Speaker 2: can always hear the show live on KFI Am six 526 00:33:42,720 --> 00:33:45,440 Speaker 2: forty from one to four pm every Monday through Friday, 527 00:33:45,480 --> 00:33:48,720 Speaker 2: and of course anytime on demand on the iHeartRadio app