1 00:00:00,160 --> 00:00:04,720 Speaker 1: Nick Shirley's investigation into fraudulent entities and getting tax dollars 2 00:00:04,760 --> 00:00:08,319 Speaker 1: in the state of California deserves your attention, and it 3 00:00:08,400 --> 00:00:11,280 Speaker 1: got a lot of attention from well, Gavin Newsom's office 4 00:00:11,440 --> 00:00:14,800 Speaker 1: and weenie brains in the mainstream media who had to 5 00:00:15,000 --> 00:00:19,480 Speaker 1: reluctantly acknowledge that, well, he's right about what he's doing, 6 00:00:19,520 --> 00:00:26,520 Speaker 1: but they don't like his tactics or something. And we 7 00:00:26,560 --> 00:00:29,160 Speaker 1: will get to that story in just sixty seconds. But first, 8 00:00:29,160 --> 00:00:32,080 Speaker 1: some important information from our sponsor. Because we talk about 9 00:00:32,080 --> 00:00:34,920 Speaker 1: big government programs a lot here. They get so complicated 10 00:00:35,159 --> 00:00:39,080 Speaker 1: that they stop serving you the people, And for Medicare enrolies, 11 00:00:39,159 --> 00:00:42,320 Speaker 1: it's a text bookcase. You turn sixty five and instead 12 00:00:42,360 --> 00:00:44,720 Speaker 1: of clarity, you get a stack of rules, deadlines, and 13 00:00:44,800 --> 00:00:48,400 Speaker 1: plan options with real consequences if you guess wrong. And 14 00:00:48,400 --> 00:00:51,760 Speaker 1: when the system is this confusing, creates an opening for 15 00:00:52,440 --> 00:00:56,120 Speaker 1: nefarious people to steer you toward plans that benefit them 16 00:00:56,560 --> 00:00:59,440 Speaker 1: and not you. That's why I point people, including my 17 00:00:59,480 --> 00:01:04,040 Speaker 1: own mother, to chapter chapter. Does Medicare differently? Their advisors 18 00:01:04,040 --> 00:01:06,559 Speaker 1: are salaried, so they're not paid to push one plan 19 00:01:06,720 --> 00:01:10,000 Speaker 1: over another. In fact, they're the only ones that actually 20 00:01:10,040 --> 00:01:14,400 Speaker 1: compares every plan available nationwide, not just to select few. 21 00:01:14,800 --> 00:01:17,119 Speaker 1: There's no cost to speak with them, and they can 22 00:01:17,240 --> 00:01:20,080 Speaker 1: usually walk you through your options in about twenty minutes. 23 00:01:20,400 --> 00:01:23,640 Speaker 1: On average, people who talk to Chapter save around eleven 24 00:01:23,920 --> 00:01:27,160 Speaker 1: hundred dollars a year. Listen, if you're turning sixty five, 25 00:01:27,280 --> 00:01:30,480 Speaker 1: or if you're already on Medicare, call Chapter five A 26 00:01:30,520 --> 00:01:34,280 Speaker 1: dozo three oh eight zero nine seven to five. That's 27 00:01:34,319 --> 00:01:37,039 Speaker 1: five A do oh three o eight zero nine seven five. Honestly, 28 00:01:37,120 --> 00:01:39,280 Speaker 1: aside from watching this show, I can't think of a 29 00:01:39,360 --> 00:01:42,560 Speaker 1: better use of twenty minutes. Okay, now back to the video. 30 00:01:42,640 --> 00:01:44,640 Speaker 1: Here's one of our favorite clips. We didn't share it 31 00:01:44,680 --> 00:01:48,520 Speaker 1: with you yesterday. Here's Nick Shirley in Los Angeles talking 32 00:01:48,600 --> 00:01:52,560 Speaker 1: about these sort of cardboard cutout offices that get set 33 00:01:52,640 --> 00:01:55,560 Speaker 1: up to funnel millions of dollars through without it appears 34 00:01:55,600 --> 00:02:00,280 Speaker 1: actually helping people. And then something very los Ange until 35 00:02:00,320 --> 00:02:02,520 Speaker 1: this California happened on the sidewalk. 36 00:02:02,560 --> 00:02:03,960 Speaker 2: Take a look here in California. 37 00:02:04,000 --> 00:02:06,280 Speaker 3: What makes this hospice and whole healthcare fraud so hard 38 00:02:06,280 --> 00:02:08,959 Speaker 3: to crack down on? Take for example, this one right here, 39 00:02:09,400 --> 00:02:13,320 Speaker 3: All Day hospice Care. They have built three point one 40 00:02:13,320 --> 00:02:18,840 Speaker 3: million dollars in per beneficiary. That's about six thousand dollars 41 00:02:19,560 --> 00:02:23,359 Speaker 3: and twenty four claims per patient with only two codes, 42 00:02:23,360 --> 00:02:26,040 Speaker 3: which means two services. They've had over five hundred and 43 00:02:26,040 --> 00:02:28,919 Speaker 3: five patients, and they started billion in twenty twenty three 44 00:02:29,200 --> 00:02:32,680 Speaker 3: and accumulated three point one million dollars in nineteen months, 45 00:02:32,760 --> 00:02:35,720 Speaker 3: and that is over twelve thousand claims. The velocity of 46 00:02:35,760 --> 00:02:38,919 Speaker 3: the billing here is what leads me to believe this 47 00:02:39,160 --> 00:02:41,840 Speaker 3: is potentially fraudulent, and what makes us hard to track 48 00:02:41,960 --> 00:02:44,880 Speaker 3: is that they then just rent small little suites inside 49 00:02:44,919 --> 00:02:47,680 Speaker 3: of these kind of buildings and they run their operations 50 00:02:47,680 --> 00:02:50,639 Speaker 3: from there, and once any sort of suspicion comes, they 51 00:02:50,639 --> 00:02:53,560 Speaker 3: then leave, close down shop, and who knows where they go. 52 00:02:53,680 --> 00:02:55,480 Speaker 3: Are they going back to Arminia, Are they going back 53 00:02:55,480 --> 00:02:57,680 Speaker 3: to Russia, Are they going back to their native country, 54 00:02:57,840 --> 00:03:00,880 Speaker 3: or are they just moving to another building inside of 55 00:03:00,919 --> 00:03:03,440 Speaker 3: a location. Here in Los Angeles and these areas whereas 56 00:03:03,480 --> 00:03:06,520 Speaker 3: you are committing this fraud, it just looks dilapidated. You 57 00:03:06,600 --> 00:03:09,799 Speaker 3: have storefronts that are completely closed down, Homeless people walk 58 00:03:09,840 --> 00:03:13,399 Speaker 3: on the streets. These businesses are all boarded up, and 59 00:03:13,680 --> 00:03:16,520 Speaker 3: they're prying on people who are on the verge of 60 00:03:16,560 --> 00:03:18,920 Speaker 3: death to make all their money. That's what hospice is. 61 00:03:18,960 --> 00:03:21,240 Speaker 3: But that is what the business model the hospice is is. 62 00:03:21,280 --> 00:03:25,040 Speaker 3: They just literally rent out these small little suites, charge 63 00:03:25,600 --> 00:03:30,080 Speaker 3: millions of dollars over the years. Oh my gosh, and 64 00:03:30,120 --> 00:03:43,040 Speaker 3: you just have people being how is that piss you? 65 00:03:43,120 --> 00:03:51,720 Speaker 3: What you masturbatee it a week ago? Wow? 66 00:03:52,840 --> 00:03:53,280 Speaker 2: Gross? 67 00:03:53,680 --> 00:03:56,120 Speaker 3: Well, there you have it. That's just craziness of it all. 68 00:03:56,240 --> 00:03:57,040 Speaker 2: There you have it. 69 00:03:57,080 --> 00:04:07,960 Speaker 1: Indeed, my oldest son, he's now twenty one, but when 70 00:04:08,000 --> 00:04:10,520 Speaker 1: he was like fourteen. He grew up in southern California. 71 00:04:12,160 --> 00:04:16,880 Speaker 1: And when he was about fourteen, I go out every 72 00:04:16,880 --> 00:04:19,400 Speaker 1: couple of weeks and visit him on the weekends. Divorce dad, 73 00:04:20,400 --> 00:04:22,200 Speaker 1: but I would fly back from the East Coast on 74 00:04:22,240 --> 00:04:25,159 Speaker 1: a regular basis. And he grew up, you know, like 75 00:04:25,320 --> 00:04:28,400 Speaker 1: North Orange County. I didn't want to raise him in La, right, 76 00:04:29,080 --> 00:04:32,520 Speaker 1: And I remember, like when he was fourteen fifteen, He's like, Dad, 77 00:04:32,520 --> 00:04:32,919 Speaker 1: why don't you. 78 00:04:32,880 --> 00:04:34,480 Speaker 2: Ever take me up to LA. I want to see La. 79 00:04:34,600 --> 00:04:36,520 Speaker 1: Let's go to La. So I took him on a 80 00:04:36,560 --> 00:04:39,440 Speaker 1: tour of LA. I went to neighborhoods like this, and 81 00:04:39,480 --> 00:04:42,160 Speaker 1: I say, here, this is La. This is this is 82 00:04:42,200 --> 00:04:46,919 Speaker 1: the glamour of Los Angeles. And sadly, you don't have 83 00:04:46,960 --> 00:04:50,680 Speaker 1: to hunt very far to find neighborhoods like this in LA. 84 00:04:50,760 --> 00:04:53,920 Speaker 1: This is Van Nye right right there in the in 85 00:04:53,960 --> 00:04:57,640 Speaker 1: the valley right near Burbank and you know where, right 86 00:04:57,680 --> 00:05:02,400 Speaker 1: where the Kardashians live, very close in fact, and yeah, 87 00:05:02,520 --> 00:05:04,000 Speaker 1: that's what LA is on. 88 00:05:04,120 --> 00:05:06,760 Speaker 3: This is is they just literally rent down these small 89 00:05:06,760 --> 00:05:12,719 Speaker 3: little suites, charge millions of dollars over the years. Oh 90 00:05:12,760 --> 00:05:15,360 Speaker 3: my gosh, and you just have people being. 91 00:05:18,120 --> 00:05:19,839 Speaker 1: I think my favorite part is then Nick wanted to 92 00:05:19,839 --> 00:05:23,080 Speaker 1: have an interview with her, ask her some questions. That's 93 00:05:23,120 --> 00:05:26,240 Speaker 1: Gavin Newsom's California. He wants your city to look like this. 94 00:05:26,839 --> 00:05:29,320 Speaker 1: When he becomes president of the United States, he will 95 00:05:29,320 --> 00:05:33,039 Speaker 1: bring all of his successful policies from the Golden State. 96 00:05:33,120 --> 00:05:37,160 Speaker 1: Wants the most beautiful, prosperous and hope filled state in 97 00:05:37,240 --> 00:05:41,120 Speaker 1: our nation now has been destroyed by left wing policies 98 00:05:41,120 --> 00:05:44,479 Speaker 1: like Gavin Newsom, Jerry Brown, etc. He wants to bring 99 00:05:44,480 --> 00:05:47,320 Speaker 1: it to your town. That will happen in your neighborhood, 100 00:05:48,400 --> 00:05:53,159 Speaker 1: Mark my words, that's what will happen. Speaking of Gavin Newsom, 101 00:05:53,279 --> 00:05:58,919 Speaker 1: his legendarily obscene and deceitful. Press office has responded to 102 00:05:59,040 --> 00:06:03,960 Speaker 1: this report here. They're responding to this post on X 103 00:06:03,960 --> 00:06:06,400 Speaker 1: by Wall Street Ape, saying, Nick Shirley found a shady 104 00:06:06,440 --> 00:06:09,279 Speaker 1: place in Los Angeles that teaches how to open hospices. 105 00:06:09,760 --> 00:06:11,760 Speaker 1: The fraud in California is so much worse than any 106 00:06:11,760 --> 00:06:14,640 Speaker 1: of us realized. In fact, in LA there's locations that 107 00:06:14,760 --> 00:06:17,239 Speaker 1: will teach you how to open up your own hospice center. 108 00:06:17,440 --> 00:06:19,800 Speaker 1: So I went there with a potential business partner to 109 00:06:19,839 --> 00:06:22,719 Speaker 1: try to become a multimillionaire hospice. He goes and speaks 110 00:06:22,720 --> 00:06:25,240 Speaker 1: to them. It's very obvious what they're doing. It's not legitimate. 111 00:06:25,520 --> 00:06:27,560 Speaker 1: Gavin Newsom must be held accountable. Then we showed you 112 00:06:27,600 --> 00:06:29,480 Speaker 1: that video yesterday. Remember they're all leaving in their two 113 00:06:29,520 --> 00:06:32,680 Speaker 1: hundred thousand dollars Mercedes and their cyber trucks and their BMW's. 114 00:06:33,200 --> 00:06:36,520 Speaker 1: Newsom's office replied and said, wow, Nick Shirley finds potential 115 00:06:36,560 --> 00:06:40,440 Speaker 1: fraud in Donald Trump's federal Medicare system. Gavin Newsom imposed 116 00:06:40,440 --> 00:06:44,480 Speaker 1: a moratorium on new hospice licenses beginning in twenty twenty one. Okay, so, 117 00:06:45,200 --> 00:06:48,080 Speaker 1: first of all, not only is this a deceitful response, 118 00:06:48,560 --> 00:06:50,680 Speaker 1: but it's also a bit of a self own if 119 00:06:50,680 --> 00:06:52,520 Speaker 1: you think about it. Let's break it down real fast. 120 00:06:52,560 --> 00:06:59,360 Speaker 1: First of all, it's Donald Trump's Medicare program according to 121 00:06:59,400 --> 00:07:03,239 Speaker 1: the Gavin news Some press office, and yet his state 122 00:07:03,360 --> 00:07:08,200 Speaker 1: office has the power to shut down new hospice licenses. 123 00:07:08,279 --> 00:07:11,240 Speaker 2: How is that possible? I thought it was a federal program. 124 00:07:11,280 --> 00:07:14,640 Speaker 1: Well, of course, the federal government puts out grants and 125 00:07:15,360 --> 00:07:18,720 Speaker 1: funds these programs, but it's up to the state to 126 00:07:19,080 --> 00:07:24,040 Speaker 1: have oversight and regulation over them. So if Gavin Newsom's 127 00:07:24,040 --> 00:07:28,160 Speaker 1: office has the ability to put a moratorium on license 128 00:07:28,400 --> 00:07:32,600 Speaker 1: for new hospice registrants, that clearly means that they have 129 00:07:32,720 --> 00:07:35,520 Speaker 1: some oversight and responsibility to make sure that the existing 130 00:07:35,560 --> 00:07:40,560 Speaker 1: licenses are not defrauding taxpayers, right number one. 131 00:07:40,720 --> 00:07:42,840 Speaker 2: Number two, Think about what he's saying here. 132 00:07:43,120 --> 00:07:46,640 Speaker 1: For the last five years, there had been no new 133 00:07:47,320 --> 00:07:53,280 Speaker 1: licenses for hospice care in the state of California. So 134 00:07:54,000 --> 00:07:58,520 Speaker 1: the result will be twofold number one groups, like we're 135 00:07:58,560 --> 00:08:03,000 Speaker 1: seeing in Nick Shirley's expose, end up operating without any 136 00:08:03,000 --> 00:08:07,920 Speaker 1: competition and continue to operate unabated because there's no new 137 00:08:07,960 --> 00:08:10,920 Speaker 1: guys coming in to get a license and maybe provide 138 00:08:10,960 --> 00:08:14,680 Speaker 1: actual legitimate care, which brings us to number two. We're 139 00:08:14,720 --> 00:08:17,840 Speaker 1: just going to shut down all the licenses so that 140 00:08:18,040 --> 00:08:22,360 Speaker 1: actual legitimate hospice entities that want to provide care for 141 00:08:22,400 --> 00:08:25,520 Speaker 1: the elderly in their time of need, they won't be 142 00:08:25,560 --> 00:08:28,600 Speaker 1: able to start and actually do the things that they 143 00:08:28,680 --> 00:08:30,800 Speaker 1: need to do. It's the whole reason why we created 144 00:08:30,840 --> 00:08:34,319 Speaker 1: the program in the first place. And Newsom's bragging about 145 00:08:34,320 --> 00:08:37,719 Speaker 1: the fact that they haven't opened any new entities or 146 00:08:37,760 --> 00:08:40,520 Speaker 1: allowed new licenses in five years. How is that something 147 00:08:40,559 --> 00:08:43,120 Speaker 1: to be proud of. I've got an idea. How about 148 00:08:43,120 --> 00:08:46,080 Speaker 1: you fix the problem, prosecute the people who are breaking 149 00:08:46,080 --> 00:08:52,240 Speaker 1: the law, and let the legitimate business entities open. Nope, 150 00:08:52,400 --> 00:08:58,400 Speaker 1: that's not how Gavin Newsom does stuff. But there's actually 151 00:08:58,480 --> 00:09:04,600 Speaker 1: more somebody else operating on behalf of Gavin Newsom, I 152 00:09:04,640 --> 00:09:08,160 Speaker 1: suppose because he's a Blue Sky sick. Ephant tried to 153 00:09:08,280 --> 00:09:10,600 Speaker 1: debunk Nick Shirley's expose. 154 00:09:11,080 --> 00:09:13,720 Speaker 2: Yeah, surely's done it again. He showed up to a 155 00:09:13,720 --> 00:09:15,160 Speaker 2: bunch of places. 156 00:09:14,679 --> 00:09:19,040 Speaker 1: Basically accused, baselessly accused people of fraud, then cited state 157 00:09:19,080 --> 00:09:22,959 Speaker 1: records which directly contradict his claims. Classic Nick Shirley formula. 158 00:09:23,280 --> 00:09:26,760 Speaker 1: And here here's an investigative finding that he's showing here. 159 00:09:27,200 --> 00:09:31,960 Speaker 1: But if you notice it's dated September eighth, twenty twenty one. 160 00:09:33,440 --> 00:09:38,400 Speaker 1: This is for a licensing program. Excuse me for the 161 00:09:38,480 --> 00:09:40,840 Speaker 1: And by the way, this also proves once again that 162 00:09:40,880 --> 00:09:43,880 Speaker 1: it is the state of California responsible for oversight of 163 00:09:43,920 --> 00:09:47,600 Speaker 1: these programs, contradicting Gavin Newsom's claims that. 164 00:09:47,559 --> 00:09:50,280 Speaker 2: This is all Donald Trump's federal program. We don't have 165 00:09:50,320 --> 00:09:51,000 Speaker 2: anything to do with it. 166 00:09:51,040 --> 00:09:55,000 Speaker 1: Oh really, then, who are these licensing program analysts working 167 00:09:55,040 --> 00:09:57,840 Speaker 1: for the State of California in the city and County 168 00:09:57,880 --> 00:10:01,000 Speaker 1: of Los Angeles? If this show is that president of 169 00:10:01,040 --> 00:10:04,480 Speaker 1: the daycare were one infant, five toddlers, and two school 170 00:10:04,520 --> 00:10:07,760 Speaker 1: age children and two helpers for the licensee. But you 171 00:10:07,880 --> 00:10:11,280 Speaker 1: notice this is dated twenty twenty one. Nick Suley, of 172 00:10:11,360 --> 00:10:15,000 Speaker 1: course saw this on the X platform and responded and said, tryharder, 173 00:10:15,040 --> 00:10:17,600 Speaker 1: pal that reports from twenty one. Why didn't you show 174 00:10:17,600 --> 00:10:21,360 Speaker 1: your followers the most recent reports from twenty three and 175 00:10:21,640 --> 00:10:24,680 Speaker 1: twenty five. Oh, because there were no kids, and that 176 00:10:24,720 --> 00:10:27,560 Speaker 1: would show that I was right, which would break your narrative. 177 00:10:27,640 --> 00:10:31,520 Speaker 1: Keep defending fraud and I'll keep exposing it. That's right again. 178 00:10:31,640 --> 00:10:37,160 Speaker 1: State of California under Gavin Newsom's watch did their on 179 00:10:37,240 --> 00:10:41,319 Speaker 1: site evaluation report. Here's the one from twenty three for 180 00:10:41,400 --> 00:10:47,280 Speaker 1: the California Department of Social Services. Zero children enrolled at 181 00:10:47,320 --> 00:10:52,960 Speaker 1: that location, and then in twenty five zero children enrolled. 182 00:10:53,040 --> 00:10:55,079 Speaker 1: I like Nick Shirley because he does a good job 183 00:10:55,559 --> 00:11:00,400 Speaker 1: and he also pushes back on the fake criticism of 184 00:11:00,440 --> 00:11:03,800 Speaker 1: the work that he does. Now, Yahoo News had a 185 00:11:04,440 --> 00:11:07,880 Speaker 1: remarkable reply to this for a lot of reasons. We're 186 00:11:07,880 --> 00:11:11,640 Speaker 1: going to break down their article. But somebody named allegedly 187 00:11:11,720 --> 00:11:15,760 Speaker 1: named Ola Mede Olao, that's a lot of o's and 188 00:11:15,840 --> 00:11:20,280 Speaker 1: generally vowels in those names, wrote an article saying Nick 189 00:11:20,320 --> 00:11:22,960 Speaker 1: Shirley says he exposed one hundred and seventy million dollars 190 00:11:22,960 --> 00:11:27,120 Speaker 1: in California hospice fraud, but his last big investigation raised 191 00:11:27,160 --> 00:11:27,920 Speaker 1: serious doubts. 192 00:11:27,920 --> 00:11:28,800 Speaker 2: Now this is interesting. 193 00:11:29,080 --> 00:11:32,679 Speaker 1: We go back to the Minneapolis investigation and the Minnesota 194 00:11:32,720 --> 00:11:37,120 Speaker 1: investigation instead of actually analyzing what this investigation said. Okay, fine, 195 00:11:37,240 --> 00:11:40,240 Speaker 1: but that's okay. Let's see what the professional journalists are 196 00:11:40,280 --> 00:11:43,880 Speaker 1: doing here as they criticize a citizen journalist doing the 197 00:11:43,880 --> 00:11:47,040 Speaker 1: work that they didn't do. Because this person, this Ola 198 00:11:47,160 --> 00:11:52,719 Speaker 1: mede Olao, whoever they are, and I don't want to 199 00:11:52,760 --> 00:11:57,600 Speaker 1: miss gender them, so let's call them them. They're sitting 200 00:11:57,600 --> 00:12:03,199 Speaker 1: in some cubicle somewhere with climate control and not dodging 201 00:12:03,400 --> 00:12:07,320 Speaker 1: criminal vagrant, drugged out bums who were urinating on the 202 00:12:07,400 --> 00:12:13,440 Speaker 1: sidewalk and just firing off some screed taking down actual 203 00:12:13,440 --> 00:12:16,359 Speaker 1: investigative journalism that's going out on the streets of Los Angeles. 204 00:12:17,520 --> 00:12:20,560 Speaker 1: But actually it's much worse than that. Let's read this together, 205 00:12:20,600 --> 00:12:23,480 Speaker 1: shall we. Thick Shirley's latest video is forty minutes long, 206 00:12:23,640 --> 00:12:26,960 Speaker 1: not a TikTok clip, not a highlight reel, forty minutes 207 00:12:27,000 --> 00:12:28,400 Speaker 1: of a twenty three year old in a hoodie that 208 00:12:28,440 --> 00:12:31,360 Speaker 1: reads support independent Journalism, walking through Los Angeles strip malls, 209 00:12:31,400 --> 00:12:34,400 Speaker 1: knocking on the doors of hospice providers he says are 210 00:12:34,400 --> 00:12:37,720 Speaker 1: building Medicare for services they never deliver. He films a 211 00:12:37,760 --> 00:12:40,720 Speaker 1: custom wrapped cyber truck and a new BMW parked outside 212 00:12:40,760 --> 00:12:43,480 Speaker 1: buildings that look like they should be condemned. He confronts 213 00:12:43,520 --> 00:12:46,240 Speaker 1: workers who panic when they see his camera. He claims 214 00:12:46,240 --> 00:12:48,120 Speaker 1: to have uncovered more than one hundred and seventy million 215 00:12:48,160 --> 00:12:51,000 Speaker 1: dollars in fraud. Nearly nine million people have watched it 216 00:12:51,040 --> 00:12:53,559 Speaker 1: in less than two days, in an era when most 217 00:12:53,600 --> 00:12:56,200 Speaker 1: people won't sit through a two minute ad. That's not 218 00:12:56,360 --> 00:13:00,000 Speaker 1: just a video going viral m dash. It's a verdict 219 00:13:00,120 --> 00:13:10,719 Speaker 1: arriving before the evidence has been checked. I think this 220 00:13:10,800 --> 00:13:17,840 Speaker 1: is chat GPT. I am almost willing to bet good 221 00:13:17,880 --> 00:13:22,400 Speaker 1: money that this is chat GPT. I'm pretty sure that 222 00:13:22,520 --> 00:13:28,960 Speaker 1: if this person actually does exist, one Ola Meidelao that 223 00:13:29,080 --> 00:13:35,400 Speaker 1: olamide O Loo is basically robbing Yahoo News of their 224 00:13:35,440 --> 00:13:39,120 Speaker 1: paycheck because they're not actually doing any work. You could 225 00:13:39,320 --> 00:13:41,040 Speaker 1: tell you should try this. If you have a chat 226 00:13:41,120 --> 00:13:46,240 Speaker 1: gpt account, Take the link to Nick Shirley's video, put 227 00:13:46,280 --> 00:13:49,920 Speaker 1: the link into chat ept, and then say write me 228 00:13:50,280 --> 00:13:57,239 Speaker 1: a five hundred word critique on this, criticizing Nick Shirley's 229 00:13:57,240 --> 00:14:02,600 Speaker 1: citizen journalism tactics, and write it in the voice of 230 00:14:02,640 --> 00:14:08,000 Speaker 1: Olomode Oloro, and you'll probably get something very similar to this. 231 00:14:08,080 --> 00:14:12,640 Speaker 1: There are some telltale signs of how chat chept writes things, 232 00:14:13,960 --> 00:14:19,040 Speaker 1: and that last sentence right here is a perfect example. 233 00:14:20,000 --> 00:14:21,920 Speaker 1: Kevin and I joke about this all the time when 234 00:14:22,000 --> 00:14:25,600 Speaker 1: we see articles or when we're given even advertising copies. 235 00:14:25,600 --> 00:14:28,560 Speaker 1: Sometimes it's like, oh, this was obviously written by Chatchept. 236 00:14:29,000 --> 00:14:32,200 Speaker 1: There's one thing that you often see in chatchpt articles 237 00:14:32,960 --> 00:14:39,880 Speaker 1: and it's that's not just ABC dash, that's x y z. 238 00:14:40,520 --> 00:14:43,880 Speaker 1: Chat gpt loves doing it. I don't know where chat 239 00:14:43,920 --> 00:14:48,200 Speaker 1: gpt picked it up. It's artificial, but it's not very intelligent. 240 00:14:48,760 --> 00:14:52,760 Speaker 1: That last article, especially the m dash. It's not a hyphen, 241 00:14:53,440 --> 00:14:57,040 Speaker 1: it's an m dash. And that's another tell tale. Say, 242 00:14:57,800 --> 00:15:01,040 Speaker 1: that's not just a video going viral, it's a verdict 243 00:15:01,160 --> 00:15:04,960 Speaker 1: arriving before the evidence has been checked. Which sounds really 244 00:15:05,160 --> 00:15:08,000 Speaker 1: snarky and clever, doesn't it until you actually think through 245 00:15:08,040 --> 00:15:11,560 Speaker 1: the logic of that sentence. Now, hold on, think about 246 00:15:11,560 --> 00:15:16,840 Speaker 1: what this writer chat gpt is trying to say. Nine 247 00:15:16,880 --> 00:15:20,880 Speaker 1: million people have watched the video. That's not just a 248 00:15:20,960 --> 00:15:23,800 Speaker 1: video going viral. It's a verdict arriving before the evidence 249 00:15:23,800 --> 00:15:25,840 Speaker 1: has been checked. Well, what do you mean how is 250 00:15:25,880 --> 00:15:28,200 Speaker 1: it a verdict? If nine million people have watched the video, 251 00:15:28,280 --> 00:15:33,480 Speaker 1: that doesn't mean that a verdict has been delivered. In fact, 252 00:15:34,840 --> 00:15:40,840 Speaker 1: checking the evidence can only be done by watching the video. Right, So, 253 00:15:41,320 --> 00:15:45,040 Speaker 1: if you think about it, again, not very intelligence. They 254 00:15:45,080 --> 00:15:48,640 Speaker 1: are artificial intelligence, because that sentence really doesn't make sense, 255 00:15:48,920 --> 00:15:50,480 Speaker 1: or at least doesn't make the point that I think 256 00:15:50,520 --> 00:15:53,400 Speaker 1: they're trying to make. This is why I'm not personally 257 00:15:53,440 --> 00:15:57,200 Speaker 1: afraid of AI. It can't replace what I do yet. 258 00:15:58,560 --> 00:16:00,920 Speaker 1: But there's more here, because here's what it's funny. Here's 259 00:16:00,960 --> 00:16:03,240 Speaker 1: what even though you asked chat Ept to give a 260 00:16:03,280 --> 00:16:07,560 Speaker 1: criticism of Nick Shirley, even chat Ept had to admit 261 00:16:07,640 --> 00:16:12,320 Speaker 1: that Nick's got a point. Here's what makes surely hard 262 00:16:12,360 --> 00:16:15,680 Speaker 1: to pin down the thing he's pointing at Israel. California's 263 00:16:15,720 --> 00:16:18,560 Speaker 1: own state auditor flagged hospice fraud in twenty twenty two. 264 00:16:18,720 --> 00:16:21,240 Speaker 1: The number of hospice agencies in La County has surged 265 00:16:21,320 --> 00:16:25,040 Speaker 1: roughly fifteen hundred percent since twenty ten. Gee, maybe that's 266 00:16:25,040 --> 00:16:27,000 Speaker 1: why they put a moratorium on new licenses. 267 00:16:27,080 --> 00:16:28,760 Speaker 2: Huh. 268 00:16:28,960 --> 00:16:32,520 Speaker 1: CBS News published a full investigation. The problem was documented, 269 00:16:32,600 --> 00:16:34,800 Speaker 1: filed away, and ignored until a kid with the camera 270 00:16:34,840 --> 00:16:37,200 Speaker 1: showed up and made it impossible to look away. Well 271 00:16:37,320 --> 00:16:41,320 Speaker 1: that's praise, frankly. That shows you where we are now. 272 00:16:41,400 --> 00:16:43,600 Speaker 1: Then nobody gives a crap what the state auditor said, 273 00:16:43,680 --> 00:16:46,640 Speaker 1: or what even CBS News said. You've got to deliver 274 00:16:46,760 --> 00:16:49,000 Speaker 1: the story in a way that is compelling and actually 275 00:16:49,000 --> 00:16:51,920 Speaker 1: will get people talking about what you're doing instead of 276 00:16:51,960 --> 00:16:57,200 Speaker 1: the boring, over budgeted CBS News way of doing his story. 277 00:16:58,680 --> 00:17:02,320 Speaker 1: But surely has a pattern and it's worth paying attention to. Yeah, 278 00:17:02,480 --> 00:17:05,679 Speaker 1: your pattern of how you write articles chat ept is 279 00:17:05,680 --> 00:17:09,560 Speaker 1: also worth big attention to. His Minnesota video triggered the 280 00:17:09,560 --> 00:17:11,359 Speaker 1: suspension of one hundred and eighty five million dollars in 281 00:17:11,400 --> 00:17:15,240 Speaker 1: federal childcare funding before state officials had finished reviewing his claims. 282 00:17:15,240 --> 00:17:17,399 Speaker 1: When they did, they found no evidence of fraud at 283 00:17:17,400 --> 00:17:20,760 Speaker 1: the specific sites he visited. Oh really, who handled those 284 00:17:20,800 --> 00:17:24,440 Speaker 1: state investigations? That would be Tim Walls and Keith Ellison, 285 00:17:24,480 --> 00:17:26,520 Speaker 1: and we already have evidence that they were on the 286 00:17:26,560 --> 00:17:28,840 Speaker 1: take from the groups themselves. And by the way, I 287 00:17:28,840 --> 00:17:32,480 Speaker 1: thought this was a federal program. The state wasn't involved. 288 00:17:32,480 --> 00:17:35,280 Speaker 1: That's what Gavin Newsom's people told me. All Right, one 289 00:17:35,359 --> 00:17:40,680 Speaker 1: more real, fast, more chatchypt evidence here from Yahoo News. 290 00:17:41,480 --> 00:17:43,959 Speaker 1: If you're really going to critique and go after Nick Shirley, 291 00:17:44,280 --> 00:17:48,840 Speaker 1: at least give him the dignity and respect to have 292 00:17:48,960 --> 00:17:52,879 Speaker 1: a real human being write the article instead of some 293 00:17:53,040 --> 00:17:59,280 Speaker 1: AI bot. This is sad, Yahoo News. Hold on, where 294 00:17:59,280 --> 00:18:01,560 Speaker 1: did it go? I thought we had one more didn't 295 00:18:01,560 --> 00:18:05,840 Speaker 1: we Oh yeah, none of this means the California hospice 296 00:18:05,920 --> 00:18:06,800 Speaker 1: video is wrong. 297 00:18:07,320 --> 00:18:08,560 Speaker 2: The fraud surely. 298 00:18:08,320 --> 00:18:10,600 Speaker 1: Is pointing at has been documented by people with far 299 00:18:10,640 --> 00:18:13,520 Speaker 1: more credentials who got far less attention for it. That's 300 00:18:13,560 --> 00:18:19,280 Speaker 1: the uncomfortable part. That's chech ept right there. That's trademark 301 00:18:19,359 --> 00:18:23,040 Speaker 1: chat chips. That's the uncomfortable part. No one writes like that. 302 00:18:24,680 --> 00:18:27,960 Speaker 1: Shirley's videos closing in on nine million views, by the way, 303 00:18:28,119 --> 00:18:31,720 Speaker 1: repeating a data point that was already cited earlier in 304 00:18:31,760 --> 00:18:36,080 Speaker 1: the article. Chechipd, the state's auditor's reports said the same 305 00:18:36,080 --> 00:18:39,920 Speaker 1: thing four years ago. Chechipd, the University of Minnesota media 306 00:18:39,960 --> 00:18:44,240 Speaker 1: law professor, told NPR oh NPR that influencers like Shirley 307 00:18:44,240 --> 00:18:46,480 Speaker 1: have a narrative and they do everything they can to 308 00:18:46,600 --> 00:18:49,280 Speaker 1: advance that narrative, but they seem to spend little to 309 00:18:49,400 --> 00:18:50,360 Speaker 1: no time looking for. 310 00:18:50,359 --> 00:18:51,719 Speaker 2: The other side of the story. 311 00:18:52,040 --> 00:18:56,200 Speaker 1: I'm sorry, Is that NPR telling me that you got 312 00:18:56,240 --> 00:18:57,800 Speaker 1: to go out of your way to tell the other 313 00:18:57,880 --> 00:18:58,679 Speaker 1: side of the story. 314 00:18:59,080 --> 00:19:04,800 Speaker 2: NPR is telling me that, oh that's rich. 315 00:19:07,000 --> 00:19:11,679 Speaker 1: All right, And now the perfect ai closing chatch Ept 316 00:19:12,000 --> 00:19:15,679 Speaker 1: signs off the Yahoo News article. She's probably right but 317 00:19:15,840 --> 00:19:19,159 Speaker 1: nine million people watched anyway, and the state auditor's report 318 00:19:19,240 --> 00:19:22,359 Speaker 1: got none of that. That might be the biggest fraud 319 00:19:22,400 --> 00:19:26,960 Speaker 1: of all m dash, or at least the one nobody 320 00:19:27,040 --> 00:19:28,520 Speaker 1: knows how to fix. 321 00:19:30,480 --> 00:19:31,960 Speaker 2: That probably took all of. 322 00:19:31,960 --> 00:19:36,159 Speaker 1: Five minutes to write chatch ept probably did in forty 323 00:19:36,160 --> 00:19:38,919 Speaker 1: five seconds, but I'm sure they changed a few words 324 00:19:38,960 --> 00:19:43,399 Speaker 1: to try to get past the editor's screening. That's pathetic, 325 00:19:43,560 --> 00:19:49,800 Speaker 1: that's fraudulent, that's weak, Sauce and Nick Shirley, you should 326 00:19:49,800 --> 00:19:52,600 Speaker 1: probably feel proud and frame that one for his wall. 327 00:19:53,760 --> 00:19:56,000 Speaker 1: The fact of the matter is the impact of big 328 00:19:56,040 --> 00:20:00,480 Speaker 1: government programs rife with fraud is actually making it an impression, 329 00:20:00,600 --> 00:20:03,880 Speaker 1: and not just on people like us who have known 330 00:20:04,000 --> 00:20:07,720 Speaker 1: that these programs have been full of fraud for decades. 331 00:20:08,760 --> 00:20:11,880 Speaker 1: No even people on the political left, people who probably 332 00:20:11,920 --> 00:20:14,480 Speaker 1: really do believe in these programs and want to see 333 00:20:14,480 --> 00:20:18,640 Speaker 1: them help people, want to see them actually progress our 334 00:20:18,800 --> 00:20:22,520 Speaker 1: nation and build a better future. You know, liberals like 335 00:20:22,600 --> 00:20:26,439 Speaker 1: John Stewart, who we showed you last year, had a 336 00:20:26,480 --> 00:20:30,680 Speaker 1: remarkable conversation with Ezrakline over the high speed rail fiasco 337 00:20:30,760 --> 00:20:35,880 Speaker 1: in California. John Stewart was head blowing up because of 338 00:20:36,000 --> 00:20:40,800 Speaker 1: the way liberals waste your money and can't get anything done. 339 00:20:41,240 --> 00:20:45,240 Speaker 1: So on his show, he hosted a candidate for governor. 340 00:20:45,280 --> 00:20:47,720 Speaker 1: He's a mayor of San Jose and he's running for 341 00:20:47,760 --> 00:20:50,640 Speaker 1: governor in California, and he asked him about the fact 342 00:20:50,680 --> 00:20:53,399 Speaker 1: that all of these programs are bloated, they're ineffective, and 343 00:20:53,440 --> 00:20:55,919 Speaker 1: they make liberals like him look bad. What are you 344 00:20:55,960 --> 00:20:58,000 Speaker 1: doing about it? And well, watch this. 345 00:20:58,600 --> 00:21:02,080 Speaker 4: So for DEMO, it's always been interesting that they've had 346 00:21:02,119 --> 00:21:06,120 Speaker 4: trouble connecting the money that they're asking to raise through 347 00:21:06,160 --> 00:21:09,119 Speaker 4: taxes to the value it's providing. 348 00:21:09,400 --> 00:21:10,400 Speaker 2: To tax payers. 349 00:21:10,680 --> 00:21:13,080 Speaker 4: So to the point of like there's a lot of 350 00:21:13,280 --> 00:21:18,000 Speaker 4: referendums up there now a billionaire's tax or getting people 351 00:21:18,000 --> 00:21:20,159 Speaker 4: that pay one hundred thousand dollars not to have to 352 00:21:20,200 --> 00:21:24,960 Speaker 4: pay any income tax. But I think too often the 353 00:21:25,000 --> 00:21:29,480 Speaker 4: politicians haven't connected that money to real value. I don't 354 00:21:29,520 --> 00:21:34,200 Speaker 4: think people trust that that money will be spent responsibly 355 00:21:34,720 --> 00:21:35,960 Speaker 4: or have any efficacy. 356 00:21:36,760 --> 00:21:40,760 Speaker 3: So predictably, yes, being the capital of Silicon Valley, we 357 00:21:40,840 --> 00:21:44,640 Speaker 3: created some dashboards to show people were spending their dollars. 358 00:21:45,800 --> 00:21:49,920 Speaker 1: It works, No, it doesn't. It's just the same old 359 00:21:50,000 --> 00:21:54,080 Speaker 1: bull that you get from liberals and progressives who want 360 00:21:54,119 --> 00:21:56,480 Speaker 1: to show you that they're doing something and they're watching things, 361 00:21:56,560 --> 00:21:58,360 Speaker 1: and even John Stewart knows it. 362 00:22:00,000 --> 00:22:01,800 Speaker 2: Oh yeah, yeah, there's a lot of fraud out there. 363 00:22:01,840 --> 00:22:05,520 Speaker 1: We're going to keep asking for taxes from everybody because 364 00:22:05,520 --> 00:22:07,560 Speaker 1: we can't get enough of your money. But if you're 365 00:22:07,560 --> 00:22:10,040 Speaker 1: worried about fraud and how effectively the money has been spent, 366 00:22:10,119 --> 00:22:13,920 Speaker 1: don't worry. We're gonna spend more money creating a dashboard. 367 00:22:14,720 --> 00:22:18,160 Speaker 1: Remember how effective those were during the pandemic. Even John 368 00:22:18,160 --> 00:22:22,640 Speaker 1: Stewart gets it. Even John Stewart can't contain himself. And well, 369 00:22:22,640 --> 00:22:24,600 Speaker 1: that tells you something. It tells you that we're on 370 00:22:24,640 --> 00:22:26,159 Speaker 1: the right side of this issue and we've got to 371 00:22:26,240 --> 00:22:28,840 Speaker 1: keep pounding at it. And it tells you once again 372 00:22:29,320 --> 00:22:32,840 Speaker 1: that Nick Sureley deserves an award for the work that 373 00:22:32,880 --> 00:22:33,480 Speaker 1: he's doing. 374 00:22:33,720 --> 00:22:35,919 Speaker 2: Or if you can't muster up an 375 00:22:35,920 --> 00:22:39,040 Speaker 1: Award for him, just ask chech Ept to come up 376 00:22:39,080 --> 00:22:42,880 Speaker 1: with someone