1 00:00:00,280 --> 00:00:04,720 Speaker 1: From UFOs to psychic powers and government conspiracies. History is 2 00:00:04,840 --> 00:00:09,119 Speaker 1: riddled with unexplained events. You can turn back now or 3 00:00:09,240 --> 00:00:12,160 Speaker 1: learn this stuff they don't want you to know. A 4 00:00:12,280 --> 00:00:13,960 Speaker 1: production of iHeartRadio. 5 00:00:24,200 --> 00:00:26,920 Speaker 2: Hello, welcome back to the show. My name is Matt, 6 00:00:27,200 --> 00:00:27,960 Speaker 2: my name is Nol. 7 00:00:28,200 --> 00:00:29,240 Speaker 3: They call me Bed. 8 00:00:29,400 --> 00:00:32,880 Speaker 4: We're joined as always with our super producer Alexis code 9 00:00:32,960 --> 00:00:36,559 Speaker 4: named Doc Holliday Jackson. Most importantly, you are you. You 10 00:00:36,680 --> 00:00:40,240 Speaker 4: are here. That makes this the stuff they don't want 11 00:00:40,280 --> 00:00:43,000 Speaker 4: you to know. It's the top of the week. As 12 00:00:43,040 --> 00:00:47,360 Speaker 4: we hurtle headlong towards the end of February, our summer 13 00:00:47,400 --> 00:00:52,960 Speaker 4: plans are ruined. North Korea has closed down their airbnbs. Catch, Yeah, 14 00:00:53,000 --> 00:00:55,240 Speaker 4: that's something we all took. We all took an l 15 00:00:55,320 --> 00:00:59,760 Speaker 4: on that one. There are so many things occurring around 16 00:00:59,760 --> 00:01:02,600 Speaker 4: the world world today. We're going to explore several of them. 17 00:01:02,840 --> 00:01:05,360 Speaker 4: We're going to explore a lawyer who saved the day, 18 00:01:05,560 --> 00:01:08,639 Speaker 4: a new cryptid just dropped. And before we do any 19 00:01:08,720 --> 00:01:12,199 Speaker 4: of that, we were thinking we might travel to Chernobyl. 20 00:01:12,480 --> 00:01:18,360 Speaker 3: Oh, why not? Maybe they have an airbnbs available there. Perhaps, No, No, 21 00:01:18,120 --> 00:01:21,360 Speaker 3: it's the next thing. Let's start getting some tourist traffic 22 00:01:21,400 --> 00:01:24,440 Speaker 3: over there at Chernobyl. No, not so much for humans, 23 00:01:24,440 --> 00:01:27,640 Speaker 3: but for wildlife. As we've talked about numerous times on 24 00:01:27,680 --> 00:01:34,240 Speaker 3: the show, it's a flourishing but very diverse ecosystem with 25 00:01:34,680 --> 00:01:40,640 Speaker 3: numerous species of you know, insects, plants, fauna, megafauna, you know, 26 00:01:40,800 --> 00:01:44,520 Speaker 3: I mean stuff that could you know, be considered almost 27 00:01:44,680 --> 00:01:47,920 Speaker 3: approaching cryptids, especially when we start to talk about some 28 00:01:48,000 --> 00:01:51,520 Speaker 3: of the ways that the radiation that the legacy radiation 29 00:01:51,680 --> 00:01:57,760 Speaker 3: from that Chernobyl exclusion zone has affected some of these creatures. Today, 30 00:01:57,760 --> 00:02:01,480 Speaker 3: we are specifically talking about the wolf population there and 31 00:02:01,640 --> 00:02:06,760 Speaker 3: how exposure long term generational exposure. After all, the Chernobyl 32 00:02:07,160 --> 00:02:13,280 Speaker 3: catastrophe where one of the reactors there near Pripiat, Ukraine, exploded, 33 00:02:14,040 --> 00:02:17,800 Speaker 3: more than two hundred thousand people were evacuated and created 34 00:02:17,800 --> 00:02:21,760 Speaker 3: these exclusion zones. That was back in nineteen eighty six. 35 00:02:22,200 --> 00:02:23,960 Speaker 3: So we are at a place now where we're actually 36 00:02:24,040 --> 00:02:29,120 Speaker 3: starting to kind of see almost evolutionary results from the 37 00:02:29,160 --> 00:02:35,120 Speaker 3: exposure that these creatures have had to this legacy radiation. Specifically, today, 38 00:02:35,120 --> 00:02:38,000 Speaker 3: we're looking at a study that has come out from 39 00:02:38,040 --> 00:02:41,239 Speaker 3: a researcher by the name Well actually there's a couple 40 00:02:41,280 --> 00:02:43,519 Speaker 3: of researchers we're talking about today. One is by the 41 00:02:43,600 --> 00:02:49,679 Speaker 3: name of Shane Campbell Staton, who is a fellow at 42 00:02:49,720 --> 00:02:54,560 Speaker 3: the Princeton Evolutionary Biology Labs, I suppose you could call it. 43 00:02:55,200 --> 00:02:59,600 Speaker 3: There is also another fellow researcher by the name of 44 00:02:59,680 --> 00:03:04,240 Speaker 3: care In Love, and they have been studying the effects 45 00:03:04,560 --> 00:03:07,639 Speaker 3: of the radiation in this exclusion zone or these exclusion 46 00:03:07,720 --> 00:03:12,000 Speaker 3: zones on the wolf population. And one thing that has 47 00:03:12,040 --> 00:03:14,240 Speaker 3: come out very recently, I believe in the last couple 48 00:03:14,240 --> 00:03:19,680 Speaker 3: of weeks, is the idea that wolves, the wolf population 49 00:03:20,200 --> 00:03:25,160 Speaker 3: in Belarus's exclusion zone, have started to develop parts of 50 00:03:25,200 --> 00:03:31,320 Speaker 3: their genome that are resistant to cancer. Good news, because 51 00:03:31,440 --> 00:03:34,240 Speaker 3: this is the kind of thing that can be studied 52 00:03:34,680 --> 00:03:39,120 Speaker 3: and can potentially be harnessed and used, you know, in 53 00:03:39,240 --> 00:03:44,440 Speaker 3: cancer research for humans. Really fascinating stuff. There's a really 54 00:03:44,440 --> 00:03:50,680 Speaker 3: great NPR interview where Love and their fellow Princeton evolutionary biologist, 55 00:03:50,720 --> 00:03:54,520 Speaker 3: Shane Campbell Statton, they gave to NPR where they talk 56 00:03:54,600 --> 00:03:58,840 Speaker 3: about this research. Campbell Staton said in the interview that 57 00:03:58,880 --> 00:04:03,400 Speaker 3: the exclusion zone are quote home to everything from amphibians, 58 00:04:03,440 --> 00:04:07,360 Speaker 3: insects and birds to megafauna, so things like European bison, 59 00:04:07,480 --> 00:04:11,840 Speaker 3: bore apex predators like wolves. Gray wolves in particular, they say, 60 00:04:12,080 --> 00:04:16,000 Speaker 3: offer a really interesting opportunity to understand the impacts of chronic, 61 00:04:16,400 --> 00:04:22,040 Speaker 3: low dose, multigenerational exposure to ionizing radiation because of the 62 00:04:22,160 --> 00:04:27,480 Speaker 3: role that they play in their ecosystem. Going on to quote, 63 00:04:27,920 --> 00:04:31,680 Speaker 3: there may be genetic variation within the wolf population that 64 00:04:31,760 --> 00:04:35,839 Speaker 3: may allow some individuals to be more resistant or resilient 65 00:04:35,960 --> 00:04:38,480 Speaker 3: in the face of that radiation, in which case they 66 00:04:38,520 --> 00:04:41,400 Speaker 3: may still get cancer at the same rate, but it 67 00:04:41,480 --> 00:04:44,280 Speaker 3: may not impact their function as much as it would 68 00:04:44,279 --> 00:04:48,119 Speaker 3: an individual outside of the exclusion zone. They're just able 69 00:04:48,160 --> 00:04:51,760 Speaker 3: to take that burden better for some reason, or it 70 00:04:51,800 --> 00:04:56,080 Speaker 3: could be resistance and despite that pressure, that radiation exposure, 71 00:04:56,400 --> 00:04:58,960 Speaker 3: they just don't get cancer as much. 72 00:05:00,080 --> 00:05:05,440 Speaker 4: Interesting too, doctor loves study focuses on wolf blood, I think, 73 00:05:05,520 --> 00:05:10,440 Speaker 4: and it descends from a like earlier studies on different 74 00:05:11,040 --> 00:05:14,000 Speaker 4: fauna in the exclusion zone. And I love that you're 75 00:05:14,000 --> 00:05:19,760 Speaker 4: pointing out the earlier work we did on the damage 76 00:05:19,800 --> 00:05:23,919 Speaker 4: that human beings or human populations posed to wild animals, 77 00:05:24,040 --> 00:05:27,800 Speaker 4: wasn't it It wasn't too long ago know that some 78 00:05:28,000 --> 00:05:31,599 Speaker 4: study found that humans were more dangerous to animals in 79 00:05:31,680 --> 00:05:34,080 Speaker 4: chernoble than the radiation. Is that correct? 80 00:05:34,240 --> 00:05:36,520 Speaker 3: I think that's right. I don't have that exact data 81 00:05:36,520 --> 00:05:38,720 Speaker 3: in front of me, but what is interesting is the 82 00:05:39,040 --> 00:05:43,359 Speaker 3: lack of humans in these exclusion zones, which is largely 83 00:05:43,400 --> 00:05:48,159 Speaker 3: what's allowed these populations of wildlife and flora to flourish 84 00:05:48,320 --> 00:05:51,280 Speaker 3: kind of untouched. And it also offers a really unique 85 00:05:51,320 --> 00:05:54,800 Speaker 3: research opportunity to you know, take a look at how 86 00:05:54,880 --> 00:05:58,839 Speaker 3: these these species are developing, because again, you know, we're 87 00:05:58,839 --> 00:06:04,000 Speaker 3: looking at decades of data now, so you could consider 88 00:06:04,040 --> 00:06:09,320 Speaker 3: this as the researchers do multi generational exposure to this 89 00:06:09,680 --> 00:06:14,159 Speaker 3: low level radiation they're starting, they're seeing. The report says 90 00:06:14,200 --> 00:06:18,560 Speaker 3: that they're seeing very similar kind of resistance that you 91 00:06:18,640 --> 00:06:23,039 Speaker 3: might see in a cancer patient undergoing radiation therapy, which 92 00:06:23,080 --> 00:06:26,560 Speaker 3: which makes sense because radiation therapy, chemo treatments and stuff 93 00:06:26,720 --> 00:06:30,039 Speaker 3: is exposure to low level radiation that that you know, 94 00:06:30,120 --> 00:06:33,000 Speaker 3: obviously it does make people quite sick, but long term 95 00:06:33,200 --> 00:06:37,400 Speaker 3: it can cause the body to reject the cancer cells, 96 00:06:37,440 --> 00:06:39,960 Speaker 3: you know, and to sort of, yeah, to kind of 97 00:06:40,000 --> 00:06:42,640 Speaker 3: evolve in its own way as a result of being 98 00:06:42,640 --> 00:06:45,120 Speaker 3: exposed to that. I mean, I guess maybe evolve is 99 00:06:45,160 --> 00:06:48,039 Speaker 3: the wrong word, because that's a much shorter timeline. You 100 00:06:48,040 --> 00:06:50,719 Speaker 3: know that these these individuals undergoing that kind of treatment 101 00:06:50,720 --> 00:06:53,000 Speaker 3: are exposed to stuff. This is like the kind of 102 00:06:53,000 --> 00:06:56,839 Speaker 3: thing where we're seeing natural selection at play, where the 103 00:06:57,080 --> 00:07:00,800 Speaker 3: wolves that remain are the ones that have that adaptation 104 00:07:01,240 --> 00:07:05,680 Speaker 3: that allows them to be much more resilient to cancer 105 00:07:05,920 --> 00:07:06,960 Speaker 3: and tumor growth. 106 00:07:07,160 --> 00:07:11,520 Speaker 5: It's so weird, like resilient to cancer and yet you're 107 00:07:11,600 --> 00:07:16,480 Speaker 5: still being irradiated. What are the other big problems that 108 00:07:16,560 --> 00:07:18,840 Speaker 5: come with radiation. I thought cancer was one of the 109 00:07:18,840 --> 00:07:22,800 Speaker 5: big things that radiation could cause, and just destruction of cells. 110 00:07:23,120 --> 00:07:29,040 Speaker 4: Sterility would be one. Sterility would be one. There's the 111 00:07:29,080 --> 00:07:35,840 Speaker 4: possibility to also limit reproduction through tumors that interfere with 112 00:07:35,920 --> 00:07:39,880 Speaker 4: the natural lifespan of the of the creature. To your point, Noel, 113 00:07:40,320 --> 00:07:43,000 Speaker 4: I believe check me on this, folks, but I believe 114 00:07:43,160 --> 00:07:48,840 Speaker 4: a gray wolf has a relatively short lifespan in comparison 115 00:07:48,840 --> 00:07:52,880 Speaker 4: to other large fauna. So if there's a reproductive advantage 116 00:07:52,960 --> 00:07:59,160 Speaker 4: to surviving the exposure of radiation and chernobyl, then it 117 00:07:59,200 --> 00:08:02,280 Speaker 4: does make sense that they could breed for that trait. 118 00:08:02,480 --> 00:08:05,760 Speaker 4: I think they're like they're living there, the wolves with 119 00:08:07,040 --> 00:08:12,000 Speaker 4: something like six plus times the safe amount of radiation 120 00:08:12,400 --> 00:08:17,080 Speaker 4: for life form. And so if they are, if they 121 00:08:17,120 --> 00:08:19,600 Speaker 4: are surviving, what we have to remember is there's probably 122 00:08:19,640 --> 00:08:22,600 Speaker 4: a pretty high rate of attrition. There are probably a 123 00:08:22,600 --> 00:08:26,240 Speaker 4: lot of pups in a litter that aren't making it 124 00:08:26,320 --> 00:08:27,760 Speaker 4: to reproductive age. 125 00:08:28,480 --> 00:08:30,360 Speaker 3: Yeah, and then that's I think that's where we're able. 126 00:08:30,400 --> 00:08:34,040 Speaker 3: And again no evolutionary biology background here is going you know, 127 00:08:34,080 --> 00:08:36,080 Speaker 3: from what the experts are saying, and I hope that 128 00:08:36,080 --> 00:08:38,160 Speaker 3: we're interpreting it correctly. I think between the three of 129 00:08:38,200 --> 00:08:40,280 Speaker 3: us we are. But that's where you start to see 130 00:08:40,280 --> 00:08:43,720 Speaker 3: that natural selection at play. Like the individuals that are 131 00:08:43,720 --> 00:08:47,800 Speaker 3: born that have that trait, they're the ones that survive longer. 132 00:08:47,840 --> 00:08:50,240 Speaker 3: Because to your point, then you know about the impact 133 00:08:50,240 --> 00:08:54,240 Speaker 3: of humans. One of the researchers had this to say, 134 00:08:54,720 --> 00:08:59,360 Speaker 3: Campbell Statton, that a wolf living within that Chernobyl exclusion 135 00:08:59,440 --> 00:09:03,520 Speaker 3: zone might have to deal with these potential pressures from cancer, 136 00:09:03,920 --> 00:09:07,640 Speaker 3: but it doesn't have to deal with pressures from say hunting, 137 00:09:07,800 --> 00:09:10,880 Speaker 3: for example. And I'm just going to go and read 138 00:09:10,880 --> 00:09:12,840 Speaker 3: the quote as they say it better than I could paraphrase. 139 00:09:13,280 --> 00:09:16,760 Speaker 3: And it may be that the release from that hunting pressure, 140 00:09:16,840 --> 00:09:19,720 Speaker 3: that separation from humans, turns out to be a much 141 00:09:19,800 --> 00:09:23,000 Speaker 3: better thing than having to deal with cancer, which is 142 00:09:23,080 --> 00:09:25,360 Speaker 3: kind of messed up. That's part of the quote, but 143 00:09:25,440 --> 00:09:27,240 Speaker 3: I completely concur with that. 144 00:09:27,640 --> 00:09:30,520 Speaker 4: It's true though. Look at the biodiversity and the DMZ. 145 00:09:31,400 --> 00:09:36,360 Speaker 4: Look at the way the natural world quickly recovered a 146 00:09:36,400 --> 00:09:41,040 Speaker 4: bit of its population when humans were locked down during COVID. Right, 147 00:09:41,160 --> 00:09:44,240 Speaker 4: if you take the human species out of the equation, 148 00:09:44,760 --> 00:09:48,280 Speaker 4: then Earth grows back pretty quickly. Also, were we didn't 149 00:09:48,320 --> 00:09:51,280 Speaker 4: we talk about years years ago? Didn't we talk about 150 00:09:51,320 --> 00:09:54,600 Speaker 4: the wild bars that were running around? 151 00:09:56,040 --> 00:09:58,560 Speaker 3: And then you know, obviously the wild bares are known 152 00:09:58,679 --> 00:10:03,760 Speaker 3: for digging for you know, truffles and such, maybe specific 153 00:10:03,760 --> 00:10:05,400 Speaker 3: ones that are good at being for truffles, but they 154 00:10:05,440 --> 00:10:08,680 Speaker 3: do root and a lot of times the soil content, 155 00:10:08,840 --> 00:10:11,920 Speaker 3: you know, deeper down does have you know, higher levels 156 00:10:11,920 --> 00:10:14,640 Speaker 3: of radiation. So that was why we were seeing higher 157 00:10:14,960 --> 00:10:18,800 Speaker 3: instances of irradiated bores, you know, from that same Chernobyl 158 00:10:19,080 --> 00:10:22,600 Speaker 3: exclusion zone. Like I was saying earlier, there are implications 159 00:10:22,760 --> 00:10:27,400 Speaker 3: on human healthcare, you know in this Campbell Statin said. 160 00:10:27,440 --> 00:10:29,800 Speaker 3: By the way, the interview on NPR was on a 161 00:10:30,000 --> 00:10:33,559 Speaker 3: show called Shortwave, and so you can probably just google 162 00:10:33,600 --> 00:10:35,760 Speaker 3: the name of the researchers and shortwave and find the 163 00:10:35,920 --> 00:10:38,800 Speaker 3: entire transcription or probably even the audio in PR is 164 00:10:38,840 --> 00:10:42,320 Speaker 3: pretty good about that, but it says Campbell. Statin told 165 00:10:42,520 --> 00:10:45,720 Speaker 3: the interviewer that they are starting to collaborate with cancer 166 00:10:45,760 --> 00:10:50,800 Speaker 3: biologists and cancer medication and treatment companies to help interpret 167 00:10:51,080 --> 00:10:54,080 Speaker 3: all of this data and to quote them try to 168 00:10:54,080 --> 00:10:57,880 Speaker 3: figure out if there are any directly translatable differences that 169 00:10:58,040 --> 00:11:02,800 Speaker 3: may offer novel therapeutic targets for cancer and humans, for instance. 170 00:11:04,040 --> 00:11:07,679 Speaker 3: And one interesting thing about this too is the pandemic 171 00:11:08,160 --> 00:11:11,400 Speaker 3: and also the fact that this area is in fact 172 00:11:11,440 --> 00:11:14,600 Speaker 3: not safe for humans has caused this research to be 173 00:11:14,640 --> 00:11:18,520 Speaker 3: a little on the slow going side. So you know, 174 00:11:18,559 --> 00:11:21,080 Speaker 3: it's kind of a bummer because they probably could have 175 00:11:21,120 --> 00:11:24,320 Speaker 3: been a little further along than they are, but because 176 00:11:24,360 --> 00:11:27,400 Speaker 3: of these conditions, they're having to kind of take it. 177 00:11:27,400 --> 00:11:28,760 Speaker 3: It's a little bit slow and steady. 178 00:11:28,920 --> 00:11:31,960 Speaker 4: It's cool stuff though, even if the research is stymied, 179 00:11:32,400 --> 00:11:37,920 Speaker 4: it just shows us yet again the natural world is astonishing. 180 00:11:38,200 --> 00:11:42,120 Speaker 4: You know, I wonder too, this makes me think, I 181 00:11:42,200 --> 00:11:45,320 Speaker 4: wonder if it were possible if there were a world 182 00:11:45,360 --> 00:11:50,000 Speaker 4: wherein we could find an area with high diversity of 183 00:11:50,120 --> 00:11:53,280 Speaker 4: natural floora and fauna and then just kick all the 184 00:11:53,360 --> 00:11:57,040 Speaker 4: humans out, like, don't even national park, it don't have visitors, 185 00:11:57,520 --> 00:12:00,000 Speaker 4: just say no, humans can go here for a secon 186 00:12:00,040 --> 00:12:02,160 Speaker 4: century and see what happens. 187 00:12:02,400 --> 00:12:05,280 Speaker 3: That's really interesting that you say that, Ben, especially since 188 00:12:05,400 --> 00:12:08,560 Speaker 3: we recently did an episode on national parks and just 189 00:12:08,720 --> 00:12:11,000 Speaker 3: like the whole I know you mentioned that just now, 190 00:12:11,280 --> 00:12:14,600 Speaker 3: but it is there is a conceptual kind of similarity 191 00:12:14,600 --> 00:12:17,600 Speaker 3: there because if it weren't for people going to bat 192 00:12:17,679 --> 00:12:20,920 Speaker 3: for the need for national parks and to have these 193 00:12:20,960 --> 00:12:25,280 Speaker 3: areas be protected, commerce and you know, just the need 194 00:12:25,360 --> 00:12:29,200 Speaker 3: to develop every possible inch of land would have just 195 00:12:29,280 --> 00:12:33,200 Speaker 3: inevitably bulldozed those places. So it requires that kind of 196 00:12:33,240 --> 00:12:36,440 Speaker 3: forward thinking, you know, to really have that kind of 197 00:12:36,679 --> 00:12:39,720 Speaker 3: flexibility to have these places protected. And I think you 198 00:12:39,720 --> 00:12:42,360 Speaker 3: could apply that to areas of research if there was 199 00:12:42,440 --> 00:12:45,760 Speaker 3: potential for real, long term studies that could you know, 200 00:12:45,800 --> 00:12:48,600 Speaker 3: benefit humanity. I also wanted to mention too. I mentioned 201 00:12:48,800 --> 00:12:52,560 Speaker 3: the pandemic and also just the general danger of this 202 00:12:52,600 --> 00:12:56,120 Speaker 3: place to humans. But let's not forget Russia's invasion of Ukraine. 203 00:12:56,880 --> 00:13:00,960 Speaker 3: That's a big, you know issue in this So it 204 00:13:01,080 --> 00:13:05,320 Speaker 3: is again another human intervention that has led to it 205 00:13:05,400 --> 00:13:08,280 Speaker 3: being difficult to continue this research just as quickly as 206 00:13:08,280 --> 00:13:09,400 Speaker 3: it might be good to. 207 00:13:09,400 --> 00:13:12,800 Speaker 4: Do bangor interview from the Swanson Air though, Huh do 208 00:13:12,880 --> 00:13:13,640 Speaker 4: you guys watch that? 209 00:13:13,840 --> 00:13:14,760 Speaker 3: Oh no, I don't think so. 210 00:13:14,920 --> 00:13:20,040 Speaker 4: Tucker Carlson Uh went for Yeah, went full for an 211 00:13:20,080 --> 00:13:25,199 Speaker 4: asset and one of the the most like Tim Hideker 212 00:13:25,320 --> 00:13:31,360 Speaker 4: level interviews with a dictator. And it's just a masterclass 213 00:13:31,360 --> 00:13:33,640 Speaker 4: in how not to do interviews and boot licking. 214 00:13:33,760 --> 00:13:35,960 Speaker 2: I'm sure he interviewed Putin. 215 00:13:36,400 --> 00:13:41,640 Speaker 4: Yeah, he interviewed Putin. It's it's a cute Okay, Well 216 00:13:41,679 --> 00:13:45,880 Speaker 4: the pronunciation may be in dispute, but uh dispute. 217 00:13:46,520 --> 00:13:48,280 Speaker 3: Yeah, but he so. 218 00:13:48,400 --> 00:13:53,120 Speaker 4: In the interview, Uh, Tucker Carlson, the famous Swanson Air 219 00:13:54,360 --> 00:13:58,240 Speaker 4: is asking questions directly, and you know it's it's quite 220 00:13:58,360 --> 00:14:01,920 Speaker 4: rare for Putin to have those direct one to one interviews. 221 00:14:02,040 --> 00:14:04,800 Speaker 3: They'll only do it with friendlies. You know, folks were 222 00:14:04,840 --> 00:14:06,480 Speaker 3: going to be in his corner to some degree. I 223 00:14:06,480 --> 00:14:08,319 Speaker 3: mean right, I kind. 224 00:14:08,120 --> 00:14:10,800 Speaker 4: Of tell you he's got he still has some old 225 00:14:11,120 --> 00:14:14,680 Speaker 4: spooky moves, like he does some old KGB stuff where 226 00:14:14,720 --> 00:14:18,439 Speaker 4: it's like you slide in personal details and he mentions 227 00:14:18,520 --> 00:14:22,960 Speaker 4: the time Tucker Carlson attempted to apply to the CIA 228 00:14:23,000 --> 00:14:26,080 Speaker 4: and got rejected, just like just as like a sneak 229 00:14:26,120 --> 00:14:27,359 Speaker 4: disc a little little. 230 00:14:27,080 --> 00:14:30,200 Speaker 3: Little subtweet there. Ye, speaking of which, isn't he still 231 00:14:30,200 --> 00:14:34,040 Speaker 3: doing his show on X fka Twitter? Is that still happening? 232 00:14:34,400 --> 00:14:37,000 Speaker 3: Because I imagined because remember how it was like not 233 00:14:37,080 --> 00:14:39,240 Speaker 3: to sideline. I think we're pretty much done with the 234 00:14:39,280 --> 00:14:44,440 Speaker 3: story here. But the viewing numbers for Tucker Carlson's show 235 00:14:44,760 --> 00:14:49,080 Speaker 3: on Twitter or on X were like overly, wildly inflated 236 00:14:49,120 --> 00:14:52,160 Speaker 3: because of what X counts as a view. There's a 237 00:14:52,200 --> 00:14:55,640 Speaker 3: discrepancy between a view and an impression where they can 238 00:14:55,720 --> 00:15:00,320 Speaker 3: say Tucker Carlson's getting one hundred gazillion trillion views, but 239 00:15:00,360 --> 00:15:04,200 Speaker 3: it's just because they're embedding it on like everybody's timeline, 240 00:15:04,280 --> 00:15:06,840 Speaker 3: so someone just scrolls past it and it auto plays. 241 00:15:07,080 --> 00:15:09,960 Speaker 3: That counts as a view. So they're like wildly inflated 242 00:15:10,040 --> 00:15:12,240 Speaker 3: numbers because you know, based on that, they're saying that 243 00:15:12,280 --> 00:15:15,160 Speaker 3: his numbers are higher than the most recent Super Bowl, 244 00:15:15,440 --> 00:15:20,320 Speaker 3: which apparently was the largest viewing numbers in network television history. 245 00:15:20,440 --> 00:15:23,400 Speaker 3: I want to say, yeah, go Toller Swift, right, that 246 00:15:23,560 --> 00:15:24,080 Speaker 3: was crazy. 247 00:15:24,240 --> 00:15:27,040 Speaker 4: Usher is so good at concerts. Did you notice he 248 00:15:27,080 --> 00:15:29,240 Speaker 4: had a football game before and after his concert. 249 00:15:29,280 --> 00:15:29,920 Speaker 3: It was wild. 250 00:15:30,120 --> 00:15:35,480 Speaker 2: What do you mean, I'm a dumb dumb? Was any good? 251 00:15:35,600 --> 00:15:35,920 Speaker 3: What's that? 252 00:15:36,280 --> 00:15:36,920 Speaker 2: Was it any good? 253 00:15:37,240 --> 00:15:37,800 Speaker 4: It was good? 254 00:15:39,120 --> 00:15:41,920 Speaker 3: It was a two thousands Schmorgus board, you know, of 255 00:15:41,960 --> 00:15:43,960 Speaker 3: all the hits. I believe we had a lot of 256 00:15:44,000 --> 00:15:49,120 Speaker 3: the atl favorites, like Ludacrous main appearance Alicia Keys isn't 257 00:15:49,120 --> 00:15:50,680 Speaker 3: really Atlanta, but it's part of that kind of two 258 00:15:50,760 --> 00:15:53,920 Speaker 3: thousands scene. Yeah, No, I think he represented I thought 259 00:15:53,920 --> 00:15:54,360 Speaker 3: it was good. 260 00:15:54,560 --> 00:15:58,200 Speaker 4: Jermaine Dupree shouted out one of my favorite commercials of 261 00:15:58,240 --> 00:16:00,720 Speaker 4: all time. He had his berries and crea cause play. 262 00:16:04,200 --> 00:16:06,440 Speaker 4: I am not kidding you. Oh my god. 263 00:16:06,920 --> 00:16:08,640 Speaker 3: Was it a real reference or was it just a 264 00:16:08,920 --> 00:16:11,760 Speaker 3: similarities that you could not ignore. I might just be. 265 00:16:11,720 --> 00:16:16,160 Speaker 4: Seeing patterns where none exist. 266 00:16:18,760 --> 00:16:19,160 Speaker 3: Uh. 267 00:16:19,240 --> 00:16:21,800 Speaker 4: Yeah, that's a great commercial, by the way, some of 268 00:16:21,840 --> 00:16:25,120 Speaker 4: the best work star Burst and has ever done. It 269 00:16:25,160 --> 00:16:28,560 Speaker 4: inspired an episode of Thirteen Days of Halloween. Noel, I 270 00:16:28,640 --> 00:16:31,680 Speaker 4: wonder to sew it up. What do you see as 271 00:16:31,800 --> 00:16:36,400 Speaker 4: the future here for the wild Wolves of Chernobyl? Do 272 00:16:36,480 --> 00:16:41,840 Speaker 4: you see it as informing cancer research for humans? How 273 00:16:41,880 --> 00:16:44,760 Speaker 4: long do you think these wolves have before humans encroach 274 00:16:45,000 --> 00:16:46,359 Speaker 4: again upon their territory? 275 00:16:46,800 --> 00:16:50,000 Speaker 3: Well, I don't know. It's a good question. Again, there 276 00:16:50,120 --> 00:16:53,400 Speaker 3: is sort of a built in like you can't really 277 00:16:53,440 --> 00:16:57,320 Speaker 3: go there and and and it's like land that nobody wants, right, 278 00:16:57,440 --> 00:17:00,760 Speaker 3: like that other episode that we did recently. I think 279 00:17:00,800 --> 00:17:05,400 Speaker 3: because of its irradiatedness, it has to be looked at 280 00:17:05,760 --> 00:17:09,640 Speaker 3: differently than other land. And I think for research and 281 00:17:09,720 --> 00:17:13,800 Speaker 3: how a radiation affects these creatures and how that can 282 00:17:13,840 --> 00:17:16,920 Speaker 3: then be applied to you know, studying their their genome 283 00:17:16,960 --> 00:17:19,920 Speaker 3: and their biology. I think that's a built in kind 284 00:17:19,960 --> 00:17:24,159 Speaker 3: of safeguard against humans that could potentially, you know, if 285 00:17:24,200 --> 00:17:27,040 Speaker 3: it's only these researchers so and then again you start 286 00:17:27,080 --> 00:17:30,320 Speaker 3: they say they're talking to cancer companies and big pharmaceutical companies, 287 00:17:30,480 --> 00:17:34,200 Speaker 3: you could then start seeing real encroachment, you know, and 288 00:17:34,600 --> 00:17:37,720 Speaker 3: just you know, dissecting the hell out of these animals. 289 00:17:37,760 --> 00:17:41,000 Speaker 3: But if the intention is right, which it seems like 290 00:17:41,080 --> 00:17:43,800 Speaker 3: it is, and it doesn't go off the rails, and 291 00:17:43,840 --> 00:17:46,240 Speaker 3: I think it could be a good thing. But I 292 00:17:46,480 --> 00:17:48,960 Speaker 3: don't know. I leave it to humans to screw it up. 293 00:17:49,160 --> 00:17:50,360 Speaker 3: But what do you think, Matt. 294 00:17:50,600 --> 00:17:53,200 Speaker 5: I just love the idea of being resistant to cancer, 295 00:17:53,400 --> 00:17:57,439 Speaker 5: and if that means long period of minor exposure to 296 00:17:57,520 --> 00:18:01,600 Speaker 5: radiation for everyone in my family for the next. 297 00:18:01,840 --> 00:18:02,680 Speaker 2: Two hundred years. 298 00:18:02,760 --> 00:18:05,400 Speaker 5: Then maybe let's go for it, but I would say 299 00:18:05,400 --> 00:18:05,960 Speaker 5: probably not. 300 00:18:06,480 --> 00:18:08,639 Speaker 3: Doesn't it remind you, guys a little bit of like 301 00:18:09,200 --> 00:18:12,800 Speaker 3: a vaccine or an antidote, where it's like, the thing 302 00:18:12,880 --> 00:18:16,320 Speaker 3: that gives you the disease is also the thing in 303 00:18:16,440 --> 00:18:18,919 Speaker 3: small amounts that can cure you of it or that 304 00:18:18,960 --> 00:18:22,480 Speaker 3: can condition your body against it. Yeah. It again, I'm 305 00:18:22,480 --> 00:18:25,000 Speaker 3: not a scientist in disrespect in any respect, but it 306 00:18:25,040 --> 00:18:26,840 Speaker 3: does kind of remind me of that, you know, or 307 00:18:26,880 --> 00:18:29,040 Speaker 3: like the idea of eating drinking a little bit of 308 00:18:29,040 --> 00:18:32,600 Speaker 3: snake them, you know, to steal yourself against a particular 309 00:18:32,680 --> 00:18:36,280 Speaker 3: type of snake bite. Anyway, last thing, did you guys 310 00:18:36,280 --> 00:18:39,280 Speaker 3: see the Michael Sarah skin cream commercial that was broad? 311 00:18:40,520 --> 00:18:41,359 Speaker 2: It's so good. 312 00:18:41,840 --> 00:18:44,840 Speaker 3: My favorite part is just like a unicorn, dolphin, narwhale 313 00:18:45,000 --> 00:18:48,199 Speaker 3: or something, and he's like singing beautiful mystical songs to it. 314 00:18:48,440 --> 00:18:51,439 Speaker 3: I'm telling our story exactly. Yes, he must prs it 315 00:18:51,480 --> 00:18:53,960 Speaker 3: to the cream. And then he's like climbing a mountain, 316 00:18:54,200 --> 00:18:56,440 Speaker 3: like a cliff side, and he reaches into his little 317 00:18:56,440 --> 00:18:58,840 Speaker 3: bag of chalk and it's just the cream and he 318 00:18:58,880 --> 00:19:01,919 Speaker 3: wipes it on the sun. I just love that, you know. 319 00:19:02,119 --> 00:19:06,399 Speaker 3: I'm all about celebrities doing interesting actors and artists doing 320 00:19:06,680 --> 00:19:09,719 Speaker 3: weird stuff like that and getting paid so that they 321 00:19:09,720 --> 00:19:12,199 Speaker 3: can make whatever weird passion projects they want to. I 322 00:19:12,200 --> 00:19:13,800 Speaker 3: think that's pretty cool. I'm all about it. 323 00:19:13,800 --> 00:19:15,639 Speaker 2: Do you see who directed that commercial? 324 00:19:16,119 --> 00:19:17,040 Speaker 3: Is it somebody interesting? 325 00:19:17,320 --> 00:19:17,840 Speaker 2: Timinary? 326 00:19:18,280 --> 00:19:21,000 Speaker 3: Oh? I thought it was beautiful. I had no idea. 327 00:19:21,200 --> 00:19:23,159 Speaker 3: Good for them, man, get that super Bowl money? And 328 00:19:23,240 --> 00:19:26,640 Speaker 3: last thing, did you see Yay's seven million dollar super 329 00:19:26,680 --> 00:19:29,960 Speaker 3: Bowl ad that he shot on his phone for zero dollars? No? 330 00:19:30,600 --> 00:19:32,480 Speaker 4: Is it about his rampant anti semitism. 331 00:19:32,720 --> 00:19:35,000 Speaker 3: He doesn't mention it directly, but he does say that 332 00:19:35,000 --> 00:19:38,160 Speaker 3: he's got some shoes for sale if anyone's interested. He goes, 333 00:19:38,200 --> 00:19:39,919 Speaker 3: you didn't go to whatever website that is. I'm not 334 00:19:39,920 --> 00:19:41,120 Speaker 3: going to give it here, but. 335 00:19:41,680 --> 00:19:44,359 Speaker 2: I've got a warehouse in Oakland. 336 00:19:44,640 --> 00:19:47,840 Speaker 3: Basically, yeah, yeah, that guy sucks. And I don't know 337 00:19:47,880 --> 00:19:51,399 Speaker 3: if you guys know the Anthony Fantano, the YouTube record 338 00:19:51,440 --> 00:19:54,520 Speaker 3: review guy they called the Needle Drop, very very popular 339 00:19:54,560 --> 00:20:00,000 Speaker 3: influential music critic. He called Kanye's new record Vultures unreview 340 00:20:00,080 --> 00:20:04,400 Speaker 3: you able because of all of the the issues around 341 00:20:04,520 --> 00:20:07,800 Speaker 3: him as an individual where you can't really review his 342 00:20:07,960 --> 00:20:10,639 Speaker 3: art without taking any of this stuff into consideration. And 343 00:20:10,680 --> 00:20:14,520 Speaker 3: the fact that he's basically now that he's finally gone 344 00:20:14,600 --> 00:20:16,560 Speaker 3: too far with all of this stuff. Whether or not 345 00:20:16,640 --> 00:20:20,240 Speaker 3: it was real or an Andy kaufmanesque stunt irrelevant at 346 00:20:20,240 --> 00:20:22,040 Speaker 3: this point because now he's just trying to own it 347 00:20:22,080 --> 00:20:24,040 Speaker 3: and acting like he meant it all along and that 348 00:20:24,080 --> 00:20:26,199 Speaker 3: he was being canceled and he's a victim. I just 349 00:20:26,240 --> 00:20:28,879 Speaker 3: think it's comical and the guy just needs to go 350 00:20:28,960 --> 00:20:29,680 Speaker 3: away for a while. 351 00:20:30,320 --> 00:20:31,680 Speaker 2: No opinion really. 352 00:20:31,560 --> 00:20:34,520 Speaker 3: Fair, no need to have one. Fantano doesn't well, he 353 00:20:34,560 --> 00:20:36,600 Speaker 3: did me and gave a seven minute little speech about it, 354 00:20:36,600 --> 00:20:38,800 Speaker 3: and I thought he had some good points. But guys, 355 00:20:38,800 --> 00:20:40,280 Speaker 3: what do you say We take a quick break here, 356 00:20:40,320 --> 00:20:41,879 Speaker 3: a word from our sponsor, and then come back with 357 00:20:41,920 --> 00:20:43,679 Speaker 3: some more strange news. 358 00:20:49,720 --> 00:20:54,440 Speaker 5: And we've returned. Gentlemen, we are traveling to Charlotte, North 359 00:20:54,480 --> 00:20:57,600 Speaker 5: Carolina today for this story, and we're gonna meet a 360 00:20:57,640 --> 00:21:02,680 Speaker 5: group called the Hands Law Firm. They're in Charlotte, North Carolina, 361 00:21:02,680 --> 00:21:05,000 Speaker 5: and I'm gonna go ahead and stop right now because 362 00:21:05,000 --> 00:21:08,119 Speaker 5: I have to get this out. When I hear Hands 363 00:21:08,680 --> 00:21:11,920 Speaker 5: lawyers like the Hands Law Firm. Do you guys think 364 00:21:11,920 --> 00:21:14,520 Speaker 5: of anything? I have a very specific picture in my mind. 365 00:21:15,119 --> 00:21:18,640 Speaker 4: I gotta tell you, I think of the hand from 366 00:21:19,200 --> 00:21:23,240 Speaker 4: Marvel comic books. I also think of you're in good 367 00:21:23,280 --> 00:21:26,760 Speaker 4: hands with all State. What are you hand? Reaching out? 368 00:21:26,840 --> 00:21:32,280 Speaker 5: Matt Kelly, Jack Kelly, would it be okay if you 369 00:21:32,280 --> 00:21:33,200 Speaker 5: your hands on. 370 00:21:33,240 --> 00:21:33,720 Speaker 3: Top of my. 371 00:21:36,720 --> 00:21:39,040 Speaker 4: Philip legendary legend? 372 00:21:39,080 --> 00:21:42,439 Speaker 3: For some reason, I picture the Weird Stalker movie The 373 00:21:42,520 --> 00:21:47,800 Speaker 3: Hand that Rocks the Cradle from the nineties. Oh wow, okay, interesting, 374 00:21:48,040 --> 00:21:49,919 Speaker 3: nothing to do with lawyer, just about psychos. 375 00:21:49,920 --> 00:21:57,119 Speaker 4: Really, Jack Kelly fascinating, fascinating character. Yeah, so, Matt, it 376 00:21:57,280 --> 00:22:00,520 Speaker 4: sounds like it took you a second off that initial 377 00:22:00,560 --> 00:22:04,640 Speaker 4: reaction to to get to this story because these are 378 00:22:04,680 --> 00:22:07,600 Speaker 4: not like sketchy, touching lawyer. 379 00:22:08,119 --> 00:22:11,160 Speaker 5: This is actually a fantastic law firm that I can't 380 00:22:11,160 --> 00:22:13,880 Speaker 5: say anything bad about. They're amazing the Hands Law Firm 381 00:22:13,920 --> 00:22:16,800 Speaker 5: in Charlotte, North Carolina. But I had to do a 382 00:22:16,800 --> 00:22:19,440 Speaker 5: shout out to Andrew Friedman, who's the actor who portrays 383 00:22:19,520 --> 00:22:22,000 Speaker 5: Jack Kelly first, because that's just what came into my mind. 384 00:22:22,280 --> 00:22:23,159 Speaker 4: Absolute legend. 385 00:22:23,600 --> 00:22:29,119 Speaker 5: So this law firm and specifically an attorney who is 386 00:22:29,200 --> 00:22:31,240 Speaker 5: I don't know if this person's a partner there or 387 00:22:31,280 --> 00:22:34,640 Speaker 5: just an attorney there. I couldn't ascertain that from their website. 388 00:22:35,000 --> 00:22:39,080 Speaker 5: But one of the attorneys, Charles W. Chuck hands the 389 00:22:39,200 --> 00:22:43,200 Speaker 5: third esquire, which is so close right, stuff should know, right. 390 00:22:44,880 --> 00:22:46,720 Speaker 2: It sounds like a joke name for Chuck. 391 00:22:47,160 --> 00:22:50,720 Speaker 4: Yeah, okay, okay, wait wait wait wait wait Chuck is 392 00:22:50,800 --> 00:22:54,639 Speaker 4: in air quotes. Yeah, that's the familial term is friends 393 00:22:54,640 --> 00:22:58,000 Speaker 4: give his last name is hands plural? Is that correct? 394 00:22:58,160 --> 00:23:04,080 Speaker 5: Charles hands their Yeah, Esquire, This is an attorney who 395 00:23:04,080 --> 00:23:06,159 Speaker 5: works there. So two shoutouts one to this. 396 00:23:06,600 --> 00:23:10,280 Speaker 3: By the way, it's like a professional, little little addendum, right, 397 00:23:10,320 --> 00:23:12,840 Speaker 3: isn't that Usually with the official version of what s fire. 398 00:23:12,680 --> 00:23:17,800 Speaker 4: Is, it's an honorific that can go like I guess 399 00:23:17,840 --> 00:23:20,600 Speaker 4: you could call a courtesy title. It works differently in 400 00:23:20,640 --> 00:23:23,000 Speaker 4: the US versus in the United Kingdom. 401 00:23:23,400 --> 00:23:26,000 Speaker 5: So Charles known as Charlie to his friends, not Chuck. 402 00:23:26,040 --> 00:23:28,240 Speaker 5: I put the chuck in there because of the Charles W. 403 00:23:28,240 --> 00:23:28,800 Speaker 5: Which is real. 404 00:23:29,560 --> 00:23:34,640 Speaker 3: Is there a Charles Charlie rule, the Brookie rule? Rack. 405 00:23:34,840 --> 00:23:35,960 Speaker 4: I'm sure he has opinions. 406 00:23:36,359 --> 00:23:38,880 Speaker 5: Sorry, everybody, We're gonna get to the story now, all right. 407 00:23:39,240 --> 00:23:42,280 Speaker 5: The hands law firm in Charlotte, North Carolina, received recently 408 00:23:42,320 --> 00:23:46,280 Speaker 5: an application from a homeowner to refinance their mortgage, just 409 00:23:46,320 --> 00:23:50,040 Speaker 5: like they had countless times in the past. This application 410 00:23:50,280 --> 00:23:54,160 Speaker 5: came from a mister Samuel Hellmick, who happens to own 411 00:23:54,160 --> 00:23:57,280 Speaker 5: a home in the Highland Creek area, which is northeast 412 00:23:57,320 --> 00:24:02,280 Speaker 5: of the city, just outside their like perimeter highway. Most 413 00:24:02,280 --> 00:24:04,400 Speaker 5: big cities have a perimeter highway that kind of goes 414 00:24:04,400 --> 00:24:06,679 Speaker 5: around the outside. This is right in the northeast area 415 00:24:07,200 --> 00:24:11,480 Speaker 5: of that perimeter. This application was for a quote cash 416 00:24:11,520 --> 00:24:14,679 Speaker 5: out refinance. This is a type of loan where a 417 00:24:14,720 --> 00:24:18,480 Speaker 5: homeowner borrows additional money on top of that big mortgage 418 00:24:18,520 --> 00:24:21,560 Speaker 5: loan that they've got. They take it from usually the 419 00:24:21,600 --> 00:24:25,520 Speaker 5: same bank as their mortgage lender, sometimes from a secondary bank, 420 00:24:25,880 --> 00:24:28,760 Speaker 5: but either way, it's on top of that mortgage and 421 00:24:28,880 --> 00:24:33,320 Speaker 5: it's based on the present value of the home versus 422 00:24:33,440 --> 00:24:37,320 Speaker 5: how much that homeowner owes on that big old mortgage loan. 423 00:24:37,560 --> 00:24:41,439 Speaker 4: Right, Okay, so the discrepancy there, the margin between the 424 00:24:41,480 --> 00:24:42,160 Speaker 4: two numbers. 425 00:24:42,359 --> 00:24:43,320 Speaker 2: Yeah, it's pretty easy. 426 00:24:43,400 --> 00:24:46,480 Speaker 5: Like if let's say you've got a four hundred let's 427 00:24:46,520 --> 00:24:49,399 Speaker 5: say five hundred thousand dollars house, you've paid one hundred 428 00:24:49,400 --> 00:24:54,160 Speaker 5: thousand dollars off on that house. You can borrow from 429 00:24:54,200 --> 00:24:57,880 Speaker 5: that one hundred thousand dollars in what's called equity. Yeah, 430 00:24:57,960 --> 00:25:00,680 Speaker 5: so that's what this is. The home owner would get 431 00:25:00,760 --> 00:25:04,320 Speaker 5: cash and then extra money would be put into that 432 00:25:04,440 --> 00:25:07,760 Speaker 5: mortgage loan, which means like a monthly payment would get higher. 433 00:25:07,800 --> 00:25:10,280 Speaker 3: It was a home equity loan basically, right, it is. 434 00:25:10,320 --> 00:25:13,520 Speaker 5: It's a home equity loan, but it's specifically a cash 435 00:25:13,560 --> 00:25:16,399 Speaker 5: out refinance, so you would get a huge lump sum 436 00:25:16,480 --> 00:25:17,000 Speaker 5: of money. 437 00:25:17,560 --> 00:25:20,760 Speaker 4: Ooh, I got it, Hey Matt, what could go wrong? 438 00:25:21,720 --> 00:25:26,440 Speaker 5: Okay, well, let's see. Let's find out. When the hands 439 00:25:26,480 --> 00:25:29,240 Speaker 5: law firm got this application, it looked pretty good. It 440 00:25:29,280 --> 00:25:33,480 Speaker 5: included all of Samuel's identifying information, including his driver's license 441 00:25:33,520 --> 00:25:36,960 Speaker 5: with the photo, his tax returned from the previous year, 442 00:25:37,119 --> 00:25:39,520 Speaker 5: all of his banking information for where the money would 443 00:25:39,520 --> 00:25:42,480 Speaker 5: get transferred to. But there was something that was a 444 00:25:42,480 --> 00:25:47,440 Speaker 5: little off. According to this application, Samuel had already paid 445 00:25:47,440 --> 00:25:50,960 Speaker 5: off his mortgage in full. So the law firm was 446 00:25:51,000 --> 00:25:55,840 Speaker 5: trying to ascertain, why are you trying to refinance your 447 00:25:55,920 --> 00:25:58,080 Speaker 5: home when you've already paid off your mortgage. 448 00:25:58,280 --> 00:26:00,760 Speaker 3: But you could do that, you could average that as 449 00:26:00,800 --> 00:26:03,800 Speaker 3: an asset and get a line of credit against your asset. 450 00:26:03,920 --> 00:26:08,000 Speaker 5: Right, it can, but generally you wouldn't, as this application 451 00:26:08,119 --> 00:26:11,960 Speaker 5: was attempting to get all of the cash, all of 452 00:26:12,560 --> 00:26:15,880 Speaker 5: your home's worth out in a refinancing. In this case, 453 00:26:15,920 --> 00:26:18,640 Speaker 5: it would have been around four hundred and fifty thousand 454 00:26:18,760 --> 00:26:21,640 Speaker 5: dollars in cash that would have been taken out of, 455 00:26:21,960 --> 00:26:25,159 Speaker 5: you know, the value of the home, the equity, and 456 00:26:25,200 --> 00:26:28,000 Speaker 5: then the homeowner would have had to make three thousand 457 00:26:28,080 --> 00:26:33,680 Speaker 5: dollars monthly payments over the course of the next you know, it's. 458 00:26:33,480 --> 00:26:34,600 Speaker 2: Like starting everywhere one. 459 00:26:34,720 --> 00:26:37,040 Speaker 3: No, it's like literally having your back to zero with 460 00:26:37,080 --> 00:26:37,640 Speaker 3: your mortgage. 461 00:26:37,720 --> 00:26:40,480 Speaker 5: Right. Yeah, why would you do that, right, rather than 462 00:26:40,560 --> 00:26:45,120 Speaker 5: as a homeowner, sell your ledgy right or rented out. 463 00:26:44,440 --> 00:26:47,960 Speaker 4: The only other yeah, rent, renting and selling. The only 464 00:26:48,000 --> 00:26:51,159 Speaker 4: other answer would be if you were active in investing 465 00:26:51,320 --> 00:26:54,840 Speaker 4: and you had a surefire thing that maybe that could 466 00:26:54,840 --> 00:26:58,600 Speaker 4: beat the return rate, which is still very dodgy. That's 467 00:26:58,640 --> 00:26:59,720 Speaker 4: just the casino. 468 00:27:00,119 --> 00:27:02,800 Speaker 5: I don't think you would do that at the full price. 469 00:27:02,880 --> 00:27:06,560 Speaker 5: You might do half the worth of your home or something. 470 00:27:06,600 --> 00:27:06,760 Speaker 1: You know. 471 00:27:07,119 --> 00:27:09,320 Speaker 5: It seems the law firm saw it as a big 472 00:27:09,359 --> 00:27:13,520 Speaker 5: red flag. They're like this seems weird. So they decided, hey, 473 00:27:13,560 --> 00:27:17,240 Speaker 5: we should discuss this with Samuel before we move forward. 474 00:27:17,320 --> 00:27:19,440 Speaker 5: Because we've got the application. All we have to do 475 00:27:19,560 --> 00:27:23,400 Speaker 5: is rubber stamp it, and this thing's gone right. All 476 00:27:23,400 --> 00:27:26,840 Speaker 5: that money gets taken out or the bank loans all 477 00:27:26,840 --> 00:27:29,000 Speaker 5: of that money by putting it into the account that 478 00:27:29,080 --> 00:27:33,400 Speaker 5: was provided, and Samuel now has big old payments he's 479 00:27:33,400 --> 00:27:36,560 Speaker 5: got to make. So the law firm attempted to hold 480 00:27:36,560 --> 00:27:40,119 Speaker 5: a zoom meeting with Samuel, which he didn't show up to. 481 00:27:40,800 --> 00:27:42,840 Speaker 5: They thought, man, that's weird. This is such a big 482 00:27:42,880 --> 00:27:46,120 Speaker 5: money move. You'd think this guy would be more engaged. Okay, 483 00:27:46,200 --> 00:27:50,800 Speaker 5: So our hero, Charles w Charlie Hands, the third Esquire, 484 00:27:51,040 --> 00:27:57,200 Speaker 5: took matters into his own hands, and and he drove 485 00:27:57,240 --> 00:28:00,280 Speaker 5: through Charlotte traffic all the way up there to Samiel's 486 00:28:00,280 --> 00:28:03,200 Speaker 5: front door. He knocked on it, and he met Samuel 487 00:28:03,320 --> 00:28:08,159 Speaker 5: in person. Here is a quote from Charles quote. The 488 00:28:08,200 --> 00:28:10,840 Speaker 5: face of the homeowner matched the face that we had 489 00:28:10,880 --> 00:28:13,280 Speaker 5: on the driver's license that was sent to us online. 490 00:28:13,880 --> 00:28:17,119 Speaker 5: But the homeowner had no idea who we were and 491 00:28:17,160 --> 00:28:21,080 Speaker 5: didn't know anything about a refinance with us at all. 492 00:28:22,000 --> 00:28:27,040 Speaker 5: I don't love it, Yes, and when Samuel has reached 493 00:28:27,080 --> 00:28:31,840 Speaker 5: out to by w SOOCTV Action nine News. 494 00:28:32,520 --> 00:28:34,280 Speaker 2: There's a reporter there named Jason. 495 00:28:34,440 --> 00:28:36,560 Speaker 5: He reached out to the homeowner, and the homeowner it 496 00:28:36,680 --> 00:28:41,880 Speaker 5: was just like, uh, nope, not this home, No, no thanks, 497 00:28:42,080 --> 00:28:44,720 Speaker 5: basically again in the opinion that I think many of 498 00:28:44,760 --> 00:28:48,840 Speaker 5: us would have. Once mortgage has been paid off, you're 499 00:28:48,880 --> 00:28:53,160 Speaker 5: good to go. Big moves don't exist anymore. We're smooth 500 00:28:53,200 --> 00:28:54,200 Speaker 5: salein from here. 501 00:28:55,320 --> 00:28:57,960 Speaker 3: Again. You can use that asset to leverage and to 502 00:28:58,040 --> 00:29:02,160 Speaker 3: get credit and also your credits spectacular it paid off 503 00:29:02,280 --> 00:29:05,040 Speaker 3: home of that, you know, an investment of that amount. 504 00:29:04,720 --> 00:29:10,000 Speaker 4: Of Also also, bad faith actors successfully count on people 505 00:29:10,080 --> 00:29:13,160 Speaker 4: to make that assumption that things are done when things 506 00:29:13,200 --> 00:29:14,840 Speaker 4: haven't ended right right. 507 00:29:15,440 --> 00:29:19,320 Speaker 5: Patience goes a long way when you've got bad intentions. 508 00:29:20,480 --> 00:29:23,600 Speaker 5: So this right here, guys, this is a pretty simple 509 00:29:23,640 --> 00:29:26,560 Speaker 5: story just to show this kind of thing is going 510 00:29:26,640 --> 00:29:28,959 Speaker 5: to be happening more and more. You think of all 511 00:29:29,000 --> 00:29:33,960 Speaker 5: those hacks we've talked about where like super super sensitive 512 00:29:34,040 --> 00:29:37,200 Speaker 5: information has been leaked right from pretty much every like 513 00:29:37,240 --> 00:29:41,920 Speaker 5: everybody's sure this kind of thing like getting a hold 514 00:29:41,960 --> 00:29:44,080 Speaker 5: of a copy of a driver's license or a copy 515 00:29:44,120 --> 00:29:47,240 Speaker 5: of a tax return with how much how many of 516 00:29:47,320 --> 00:29:49,680 Speaker 5: us do our taxes online now with all. 517 00:29:49,600 --> 00:29:51,640 Speaker 3: These city number whatever it might be. 518 00:29:51,560 --> 00:29:54,160 Speaker 5: Well, and they're sharing all of that information with all 519 00:29:54,160 --> 00:29:57,200 Speaker 5: these other third parties right that we've talked about last year. 520 00:29:58,320 --> 00:30:01,200 Speaker 5: It's just it's so dangero, So what the heck can 521 00:30:01,240 --> 00:30:03,440 Speaker 5: we do. We've talked about it a couple of times 522 00:30:03,600 --> 00:30:06,480 Speaker 5: of things that we can do to protect ourselves. And 523 00:30:06,800 --> 00:30:11,120 Speaker 5: this is also coming from WSOCTV. One of the main 524 00:30:11,160 --> 00:30:14,640 Speaker 5: things you can do is freeze your credit. It's like 525 00:30:15,000 --> 00:30:19,040 Speaker 5: it's fairly easy to do. You just tell everybody who's 526 00:30:19,080 --> 00:30:21,840 Speaker 5: involved with your credit that you're not going to be 527 00:30:21,880 --> 00:30:25,200 Speaker 5: making any big moves until you let them know, and 528 00:30:25,320 --> 00:30:27,640 Speaker 5: then you can unfreeze your credit and make a move. 529 00:30:27,920 --> 00:30:30,560 Speaker 5: But other than that, nobody can touch like take a 530 00:30:30,600 --> 00:30:32,520 Speaker 5: loan out in your name or anything like that. 531 00:30:32,600 --> 00:30:34,960 Speaker 3: It's like a bigger picture version of like putting a 532 00:30:34,960 --> 00:30:38,400 Speaker 3: hold on your debit card or something if there's suspicious activity. 533 00:30:38,560 --> 00:30:42,000 Speaker 4: Yes, it should also be your default position because the 534 00:30:43,040 --> 00:30:46,040 Speaker 4: credit system, at least here in the United States is 535 00:30:46,080 --> 00:30:49,800 Speaker 4: obtuse and difficult to navigate by design, So it's kind 536 00:30:49,840 --> 00:30:52,640 Speaker 4: of like trigger discipline. If you're not going to pull 537 00:30:52,680 --> 00:30:55,040 Speaker 4: the trigger. You don't put your finger on the trigger 538 00:30:55,440 --> 00:30:58,920 Speaker 4: ever at all. And so you should always have your 539 00:30:59,040 --> 00:31:03,760 Speaker 4: credit frozen if possible, and then go and unfreeze it. 540 00:31:03,800 --> 00:31:06,040 Speaker 4: Because if you really need to your appoint Matt, if 541 00:31:06,040 --> 00:31:08,960 Speaker 4: you really need to make that move, then you're already 542 00:31:09,000 --> 00:31:11,320 Speaker 4: give me on the phone. You're already gonna have a 543 00:31:11,360 --> 00:31:14,400 Speaker 4: series of boring conversations. So just make make a couple 544 00:31:14,520 --> 00:31:17,120 Speaker 4: more phone calls. That's the only difference, and it can 545 00:31:17,160 --> 00:31:18,959 Speaker 4: save you a lot, a lot of trouble. 546 00:31:19,200 --> 00:31:21,800 Speaker 5: It just becomes step one, no, and it's pretty easy. 547 00:31:21,960 --> 00:31:23,480 Speaker 5: And if you have a you know, if you have 548 00:31:23,560 --> 00:31:26,160 Speaker 5: something like LifeLock with Norton, you it's literally a button 549 00:31:26,200 --> 00:31:30,080 Speaker 5: you can push, which is pretty crazy. We have been 550 00:31:30,120 --> 00:31:31,480 Speaker 5: sponsored by them in the past. I don't know if 551 00:31:31,480 --> 00:31:33,920 Speaker 5: we're sponsored by them right now, but we've gotten to 552 00:31:34,000 --> 00:31:36,800 Speaker 5: use that. I'm just using it as an example here. 553 00:31:36,840 --> 00:31:39,360 Speaker 5: We are not currently sponsored by them. 554 00:31:39,640 --> 00:31:39,960 Speaker 2: Okay. 555 00:31:40,000 --> 00:31:43,040 Speaker 5: So the other thing, guys, and I'm super guilty of this, 556 00:31:44,640 --> 00:31:48,400 Speaker 5: getting junk mail what you think is junk mail, and 557 00:31:48,440 --> 00:31:50,680 Speaker 5: then either shredding it or tearing it up and throw 558 00:31:50,720 --> 00:31:51,480 Speaker 5: it in the trash. 559 00:31:51,560 --> 00:31:53,880 Speaker 3: I almost miss Jerry Summons because it's just on a 560 00:31:53,920 --> 00:31:56,160 Speaker 3: tiny little postcard thing that's mixed in with a whole 561 00:31:56,160 --> 00:31:58,040 Speaker 3: bunch of other stuff that just looks like spam mail. 562 00:31:58,120 --> 00:32:00,520 Speaker 4: You know, yes, do you guys keep a po bucks 563 00:32:00,640 --> 00:32:03,480 Speaker 4: or do you use your actual domastle. 564 00:32:03,000 --> 00:32:08,520 Speaker 3: Actual But I genuinely generally just ignore paper mail like bad. 565 00:32:08,720 --> 00:32:11,760 Speaker 3: I gotta do better because you know, it's it's so 566 00:32:11,800 --> 00:32:15,120 Speaker 3: annoying because there's all these companies that print things to 567 00:32:15,200 --> 00:32:18,840 Speaker 3: make it look like important mail, so you get desensitized 568 00:32:18,880 --> 00:32:22,080 Speaker 3: to it. It's like, oh haha, nice try you know 569 00:32:22,280 --> 00:32:25,320 Speaker 3: the government, your name or current resident. 570 00:32:25,800 --> 00:32:31,640 Speaker 4: Yeah, I get a lot of weird correspondence with uh, 571 00:32:32,360 --> 00:32:34,240 Speaker 4: with all sorts of stuff. I open all of it. 572 00:32:34,480 --> 00:32:36,560 Speaker 4: You know, we read every piece of mail we get. 573 00:32:36,840 --> 00:32:39,320 Speaker 4: That's a great point, man, That's what we kind of 574 00:32:39,360 --> 00:32:39,760 Speaker 4: have to do. 575 00:32:40,040 --> 00:32:40,080 Speaker 3: That. 576 00:32:40,280 --> 00:32:43,360 Speaker 5: That's exactly the advice that we are giving to you here, 577 00:32:43,400 --> 00:32:46,520 Speaker 5: and is what Jason said on his article there, open everything, 578 00:32:47,080 --> 00:32:50,080 Speaker 5: it doesn't matter. Just open it, take a look at it. 579 00:32:50,320 --> 00:32:53,480 Speaker 5: If your name is on there, look at it. Even 580 00:32:53,520 --> 00:32:57,640 Speaker 5: if you are like ninety percent sure this is crap. Yeah, 581 00:32:57,920 --> 00:32:59,200 Speaker 5: just give it a quick peruse. 582 00:33:00,000 --> 00:33:03,200 Speaker 4: Actually, if it's slightly misspelled by the way, just like 583 00:33:03,480 --> 00:33:07,720 Speaker 4: a low key good side of the unethical life hack thing. 584 00:33:08,160 --> 00:33:11,000 Speaker 4: If you get an email that is or like sorry, 585 00:33:11,040 --> 00:33:13,680 Speaker 4: you get a piece of correspondence that is to like 586 00:33:14,240 --> 00:33:18,240 Speaker 4: bat medric or whatever, you need to open that one first. 587 00:33:18,680 --> 00:33:20,760 Speaker 3: But also it's like, I think we're so used to 588 00:33:20,840 --> 00:33:24,040 Speaker 3: like everything being a call or a text or an email. 589 00:33:25,160 --> 00:33:29,760 Speaker 3: There are old school institutions that don't do that at all. 590 00:33:29,920 --> 00:33:33,720 Speaker 3: They only correspond via the US mail. So if you're 591 00:33:33,920 --> 00:33:36,080 Speaker 3: not looking for that or you're not paying attention, you 592 00:33:36,080 --> 00:33:40,280 Speaker 3: could miss that stuff easily. I was realized that I 593 00:33:40,400 --> 00:33:44,280 Speaker 3: wasn't covered by insurance for two entire months for my 594 00:33:44,400 --> 00:33:48,240 Speaker 3: home because for whatever reason, something happened and my policy 595 00:33:48,520 --> 00:33:51,840 Speaker 3: was canceled because I did not realize I had to 596 00:33:51,920 --> 00:33:55,200 Speaker 3: renew it, and they gave me that correspondence via the 597 00:33:55,320 --> 00:33:58,680 Speaker 3: US mail and no call, no text, no email, nothing. 598 00:33:58,920 --> 00:34:01,440 Speaker 3: So I was if that's it happened during those two months, 599 00:34:01,640 --> 00:34:03,800 Speaker 3: I would have been in big trouble. 600 00:34:04,040 --> 00:34:04,200 Speaker 5: You know. 601 00:34:04,360 --> 00:34:07,640 Speaker 4: Part of the reason for that, by the way, the 602 00:34:07,640 --> 00:34:11,080 Speaker 4: reticence to engage in new technology, like part of the 603 00:34:11,120 --> 00:34:16,720 Speaker 4: reason some of these institutions cling towards the USPS specifically 604 00:34:17,440 --> 00:34:21,839 Speaker 4: is that messing with postal service correspondence is a very 605 00:34:21,880 --> 00:34:26,919 Speaker 4: serious crime, and it actually doesn't apply the same way 606 00:34:27,280 --> 00:34:31,279 Speaker 4: in things like email or even private carriers like your 607 00:34:31,320 --> 00:34:33,040 Speaker 4: local UPS or FedEx. 608 00:34:33,880 --> 00:34:39,120 Speaker 3: So did you guys know that it's there is a 609 00:34:39,239 --> 00:34:43,040 Speaker 3: separate rate in the US mail for media mail like 610 00:34:43,160 --> 00:34:45,920 Speaker 3: sending like you know, a tape or a CD or whatever, 611 00:34:46,080 --> 00:34:47,879 Speaker 3: and that if they open it and they find out 612 00:34:47,880 --> 00:34:50,600 Speaker 3: that you've written a correspondence in there, they'll charge you 613 00:34:50,640 --> 00:34:53,839 Speaker 3: extra postage. This is irrelevant. I just found that out, 614 00:34:53,840 --> 00:34:54,920 Speaker 3: and I think that's so interesting. 615 00:34:55,040 --> 00:34:55,839 Speaker 2: Don't be doing that. 616 00:34:56,040 --> 00:35:02,640 Speaker 3: Don't be doing that. Is that cow for cute little 617 00:35:02,640 --> 00:35:03,680 Speaker 3: notes in your mixtape? 618 00:35:03,680 --> 00:35:03,839 Speaker 4: Though? 619 00:35:03,920 --> 00:35:05,520 Speaker 3: Is that? Is that? I got a one? 620 00:35:05,800 --> 00:35:07,239 Speaker 2: I don't know. I don't know. 621 00:35:07,840 --> 00:35:11,840 Speaker 5: Great area. I would say, speak to my attorney, Jack Kelly, 622 00:35:13,320 --> 00:35:16,839 Speaker 5: mister Hans. But there's not much else to say here 623 00:35:16,840 --> 00:35:18,719 Speaker 5: besides keep an eye on that kind of stuff because 624 00:35:18,719 --> 00:35:20,759 Speaker 5: it's going to be happening more. Thank you to the 625 00:35:20,760 --> 00:35:24,880 Speaker 5: Hands Law Firm and Charles W. Charlie Hans and David W. 626 00:35:25,120 --> 00:35:26,000 Speaker 5: Hands Bro. 627 00:35:26,600 --> 00:35:28,160 Speaker 3: Do you think that do you think they're like the 628 00:35:28,200 --> 00:35:30,200 Speaker 3: tagline is you're in good hands. 629 00:35:30,400 --> 00:35:35,799 Speaker 5: Oh come on, come on, guys, come on, come on. 630 00:35:35,920 --> 00:35:39,160 Speaker 5: It's really cool. It's David and Charles hands doing their thing. 631 00:35:39,760 --> 00:35:50,160 Speaker 5: All right, we'll be right back with more strange news, and. 632 00:35:50,280 --> 00:35:54,000 Speaker 4: We've returned code named Doc. Could I get something like 633 00:35:54,040 --> 00:35:59,280 Speaker 4: a gunshot? Perfect? Could I get something like an airhorn? Yeah, guys, 634 00:35:59,280 --> 00:36:02,080 Speaker 4: a new crip. It just dropped. And it's one of 635 00:36:02,120 --> 00:36:06,600 Speaker 4: the strangest ones that we have encountered. I hit you 636 00:36:06,640 --> 00:36:09,759 Speaker 4: guys up over a group chat when I had a 637 00:36:09,760 --> 00:36:14,600 Speaker 4: different phone, and I was startled to find that the 638 00:36:14,640 --> 00:36:20,080 Speaker 4: newest strangest life form discovered by the human species is 639 00:36:20,239 --> 00:36:24,239 Speaker 4: with us on the show now. And folks, there is 640 00:36:24,320 --> 00:36:27,759 Speaker 4: a higher than fifty percent chance it's with you as 641 00:36:27,760 --> 00:36:28,240 Speaker 4: you listen. 642 00:36:28,520 --> 00:36:31,320 Speaker 3: Tarry as well, Spooky ghosts is a crypt possession. 643 00:36:31,719 --> 00:36:34,720 Speaker 4: This is well, well it was. It was a cryptid. 644 00:36:34,719 --> 00:36:40,359 Speaker 4: It was suspected. Let's introduce everybody to the obelisk, all right, 645 00:36:40,400 --> 00:36:41,560 Speaker 4: how conspiratorial? 646 00:36:41,960 --> 00:36:43,560 Speaker 3: So stand thousand one. 647 00:36:43,920 --> 00:36:52,320 Speaker 4: Stanford University researchers recently discovered, through some very smart boffin exercises, 648 00:36:52,560 --> 00:36:56,360 Speaker 4: they recently discovered that there is a life form that 649 00:36:56,520 --> 00:37:00,480 Speaker 4: humans were not aware of that exist largely in side 650 00:37:00,560 --> 00:37:04,680 Speaker 4: human mouths and guts in your microbiome. And we all 651 00:37:04,760 --> 00:37:09,239 Speaker 4: know that science continues to sort of wrestle with the 652 00:37:09,239 --> 00:37:14,239 Speaker 4: implications of the microbiome in the human intestine today, Like, 653 00:37:14,320 --> 00:37:17,279 Speaker 4: we don't understand how it can affect things, but it 654 00:37:17,320 --> 00:37:21,440 Speaker 4: can affect behavior, it can affect the immune system, It 655 00:37:21,440 --> 00:37:25,920 Speaker 4: can even affect physiology. It may have epigenetic consequences. So 656 00:37:26,040 --> 00:37:30,759 Speaker 4: these folks went even further into this. They wrote a 657 00:37:31,000 --> 00:37:34,600 Speaker 4: great article, or they wrote a great study that's in 658 00:37:34,640 --> 00:37:38,480 Speaker 4: what we call preprint, meaning it hasn't been pure reviewed yet. 659 00:37:39,160 --> 00:37:42,960 Speaker 4: But what they've found is that there are tiny, tiny, 660 00:37:43,000 --> 00:37:47,720 Speaker 4: tiny bits of are in a collections that are even 661 00:37:47,960 --> 00:37:52,680 Speaker 4: smaller than viruses. They're called viroids. Now, if we step 662 00:37:52,719 --> 00:37:56,799 Speaker 4: back for a second and stay on viruses, as we've 663 00:37:56,840 --> 00:38:01,160 Speaker 4: discussed in previous episodes, viruses are on the very edge 664 00:38:01,440 --> 00:38:05,600 Speaker 4: of what humans consider an active life form, right because 665 00:38:05,719 --> 00:38:10,479 Speaker 4: viruses cannot reproduce without a host. They don't obviously seem 666 00:38:10,520 --> 00:38:13,640 Speaker 4: to have like dreams or ideology or anything, but they 667 00:38:13,680 --> 00:38:19,920 Speaker 4: can replicate. Viroids are a step smaller than that. I 668 00:38:19,960 --> 00:38:22,560 Speaker 4: had never heard of viroids before, Had you guys ever 669 00:38:22,600 --> 00:38:23,040 Speaker 4: heard of this? 670 00:38:23,360 --> 00:38:26,440 Speaker 3: No? No, And the and the image on one of 671 00:38:26,480 --> 00:38:29,400 Speaker 3: the links that you sent Ben from Popular Mechanics. The 672 00:38:29,440 --> 00:38:32,240 Speaker 3: thing looks like a black hole in your body. 673 00:38:32,840 --> 00:38:33,760 Speaker 2: Is that crazing? 674 00:38:34,120 --> 00:38:37,120 Speaker 3: It doesn't the same thing, is it? It's I don't know. 675 00:38:37,120 --> 00:38:38,239 Speaker 3: It looks like an obelisk to me. 676 00:38:39,880 --> 00:38:42,280 Speaker 5: No, it looks like it looks like a dark spot. 677 00:38:42,560 --> 00:38:44,520 Speaker 5: I was looking at the other objects in here that 678 00:38:44,560 --> 00:38:49,200 Speaker 5: look like obelisks to me. Sorry, No, I just don't know. 679 00:38:50,040 --> 00:38:51,240 Speaker 3: You have a black hole in your body. 680 00:38:52,040 --> 00:38:54,440 Speaker 4: Yeah, they don't quite have it. Hey, we've got to 681 00:38:54,440 --> 00:38:57,480 Speaker 4: be the black holes we want to see in the world, right. 682 00:38:57,640 --> 00:39:03,200 Speaker 4: So the this research out of Stanford University found that 683 00:39:03,280 --> 00:39:07,880 Speaker 4: this biological entity is probably the closest to a viroid. 684 00:39:08,320 --> 00:39:10,719 Speaker 4: But if a virus is on one side of a 685 00:39:10,760 --> 00:39:13,959 Speaker 4: spectrum and a viroid is on the other, these things 686 00:39:14,000 --> 00:39:19,520 Speaker 4: are sort of a missing link, and they organize into 687 00:39:20,520 --> 00:39:24,240 Speaker 4: strands of RNA, but they don't have a protein coat 688 00:39:24,560 --> 00:39:29,399 Speaker 4: that would protect them the way other larger actual life 689 00:39:29,440 --> 00:39:34,600 Speaker 4: forms do. And it gets even weirder. These researchers just 690 00:39:34,800 --> 00:39:40,200 Speaker 4: from doing some forensic database searching, which again they did 691 00:39:40,239 --> 00:39:44,520 Speaker 4: in a brilliant way, they found that there are already 692 00:39:44,719 --> 00:39:50,200 Speaker 4: almost thirty thousand distinct types of this life form that 693 00:39:50,239 --> 00:39:54,400 Speaker 4: they can identify in humans alone. So don't know how 694 00:39:54,480 --> 00:39:58,000 Speaker 4: much is in other mammals. Perhaps we don't know what 695 00:39:58,080 --> 00:40:01,040 Speaker 4: the effects of these things are. We don't know how 696 00:40:01,120 --> 00:40:04,040 Speaker 4: long they've been in humans, probably quite a while, and 697 00:40:04,160 --> 00:40:06,160 Speaker 4: we don't know what they're doing. 698 00:40:07,800 --> 00:40:12,600 Speaker 2: This is so weird, right, like, just how do we 699 00:40:12,760 --> 00:40:13,800 Speaker 2: just now find these? 700 00:40:14,280 --> 00:40:14,560 Speaker 1: Right? 701 00:40:14,760 --> 00:40:17,080 Speaker 5: We've been looking through microscopes for a long time, and 702 00:40:17,239 --> 00:40:21,960 Speaker 5: crazy powerful microscopes. We're editing stuff on the nano scale 703 00:40:22,000 --> 00:40:25,120 Speaker 5: and building structures on the nano scale, and these things 704 00:40:25,160 --> 00:40:26,000 Speaker 5: have just been like. 705 00:40:27,360 --> 00:40:33,160 Speaker 4: Just hang, yeah, yeah, just hanging, just hanging. So let's 706 00:40:33,200 --> 00:40:36,279 Speaker 4: give a shout out to the authors. There are quite 707 00:40:36,320 --> 00:40:40,960 Speaker 4: a few people who wrote this, Ivan in Zeludev, Robert C. Edgar, 708 00:40:41,520 --> 00:40:46,360 Speaker 4: Maria Jose Lopez Galiano, Marcos de la Pagna, Artem Babian, 709 00:40:46,800 --> 00:40:50,920 Speaker 4: Amy s Bot, Andrew Z Fire And I saved Andrew's 710 00:40:50,960 --> 00:40:51,960 Speaker 4: name for the end because I. 711 00:40:52,360 --> 00:40:53,160 Speaker 3: Ahrns for that. 712 00:40:54,120 --> 00:40:57,680 Speaker 4: Yeah, air horns, let's do it. So what they did 713 00:40:58,360 --> 00:41:02,640 Speaker 4: is they looked in to these massive data sets of 714 00:41:02,800 --> 00:41:08,320 Speaker 4: microbiome studies in human beings and they said seven percent 715 00:41:09,160 --> 00:41:13,720 Speaker 4: of the microbiome studies from the samples from the human 716 00:41:13,800 --> 00:41:19,680 Speaker 4: gut had this weird, inexplicable thing. Fifty percent of the 717 00:41:19,760 --> 00:41:25,480 Speaker 4: data sets, again from around the world, ethnicity, demographic notwithstanding, 718 00:41:26,080 --> 00:41:30,719 Speaker 4: fifty percent had these obelisks in them, which means that 719 00:41:31,120 --> 00:41:34,080 Speaker 4: everybody listening now. I don't want to say infected. I 720 00:41:34,120 --> 00:41:37,760 Speaker 4: don't want to scare people, but they're in you man, 721 00:41:38,040 --> 00:41:41,680 Speaker 4: the calls coming from inside the house. And to your question, Matt, 722 00:41:41,680 --> 00:41:46,000 Speaker 4: the reason these seem to have been overlooked for so long, 723 00:41:46,560 --> 00:41:50,359 Speaker 4: even with the skyrocketing interest in the human microbiome, it's 724 00:41:50,400 --> 00:41:56,120 Speaker 4: because these obelisks are so dissimilar to anything that has 725 00:41:56,160 --> 00:41:59,440 Speaker 4: been described as a life form in the history of 726 00:41:59,520 --> 00:42:04,280 Speaker 4: human side. I wish that we had at this point 727 00:42:04,400 --> 00:42:07,960 Speaker 4: some some more data on what the implications or the 728 00:42:08,000 --> 00:42:12,239 Speaker 4: effects could be. You know, we know there's good gut microbes. 729 00:42:12,320 --> 00:42:15,200 Speaker 4: We know there are bad gut microbes. We don't know 730 00:42:15,200 --> 00:42:18,560 Speaker 4: about the obelisk. They're like a new character in Act three. 731 00:42:19,920 --> 00:42:23,080 Speaker 4: We know that they're like a virus always needs a host, 732 00:42:23,160 --> 00:42:27,360 Speaker 4: and these viroid like things may be similar. We know 733 00:42:27,480 --> 00:42:31,600 Speaker 4: that they are often going to be hosted by different 734 00:42:31,760 --> 00:42:37,240 Speaker 4: types of bacteria. One in particular, an ingredient in dental 735 00:42:37,360 --> 00:42:42,640 Speaker 4: plaque called Streptococcus seguinous. So brush your teeth if you 736 00:42:42,680 --> 00:42:44,600 Speaker 4: don't want the opolisk blood. 737 00:42:44,440 --> 00:42:48,440 Speaker 5: Bacteria ben This is so it's not that I'm feeling 738 00:42:48,440 --> 00:42:51,040 Speaker 5: skeptical about this because I'm looking at all the sources 739 00:42:51,120 --> 00:42:55,080 Speaker 5: you've sent and everything looks legit. Everything looks like like 740 00:42:55,120 --> 00:42:58,479 Speaker 5: it's real. But one of the stories for last week 741 00:42:58,520 --> 00:43:01,480 Speaker 5: that I was thinking about maybe be talking about was 742 00:43:01,520 --> 00:43:05,520 Speaker 5: a story from The Guardian titled the situation has become appalling. 743 00:43:05,920 --> 00:43:10,960 Speaker 5: Fake scientific papers push research credibility to crisis point, and 744 00:43:11,000 --> 00:43:15,359 Speaker 5: it was all about how like last year there were 745 00:43:15,400 --> 00:43:21,800 Speaker 5: over ten thousand major retractions in huge scientific journals, that's correct, Yeah, 746 00:43:21,840 --> 00:43:24,840 Speaker 5: where there was a like they had to just completely 747 00:43:24,880 --> 00:43:29,080 Speaker 5: remove papers that were published in these in these journals 748 00:43:29,120 --> 00:43:31,879 Speaker 5: because they were they were fraudulent in one way or another, right, 749 00:43:33,280 --> 00:43:36,120 Speaker 5: Which is like, I'm not saying this has anything to 750 00:43:36,160 --> 00:43:38,319 Speaker 5: do with that. What I mean is I've got this 751 00:43:38,520 --> 00:43:41,120 Speaker 5: lens that has been over my eyes for the past 752 00:43:41,360 --> 00:43:45,359 Speaker 5: week or so thinking about this stuff, and this new 753 00:43:45,400 --> 00:43:48,799 Speaker 5: thing is so mind blowing that my brain is kind 754 00:43:48,800 --> 00:43:52,600 Speaker 5: of just going, WHOA, which is it? 755 00:43:52,640 --> 00:43:55,960 Speaker 4: Isn't it? Yeah, isn't it? Oh gosh, I read a 756 00:43:56,000 --> 00:43:59,120 Speaker 4: story with this guy too. He needs a shout out 757 00:43:59,480 --> 00:44:04,720 Speaker 4: sholto David an unemployed scientist who has been instrumental in 758 00:44:05,200 --> 00:44:09,200 Speaker 4: pouring over research and scientific papers, and he's one of 759 00:44:09,239 --> 00:44:13,040 Speaker 4: the folks who is leading the charge on sussing out 760 00:44:13,440 --> 00:44:17,359 Speaker 4: errors in academic journals. Everybody, please do check out our 761 00:44:17,400 --> 00:44:21,359 Speaker 4: episode previously well and some of the stuff they don't 762 00:44:21,400 --> 00:44:24,320 Speaker 4: want you to know about how the academic journal sausage 763 00:44:24,320 --> 00:44:28,239 Speaker 4: gets made. We promise you it's it's weird. But I 764 00:44:28,520 --> 00:44:31,640 Speaker 4: see what you're say in Matt, there's this there's this 765 00:44:31,800 --> 00:44:36,640 Speaker 4: disonance sometimes between the actual science that is done, the 766 00:44:36,680 --> 00:44:39,759 Speaker 4: way it is interpreted, and the way that it is 767 00:44:39,840 --> 00:44:43,960 Speaker 4: reported in popular media. We also are well aware that 768 00:44:44,040 --> 00:44:49,360 Speaker 4: there is an at time conspiratorial hierarchy over the existence 769 00:44:49,400 --> 00:44:53,920 Speaker 4: of scientific journals. I am hoping that we can return 770 00:44:54,000 --> 00:44:57,279 Speaker 4: to this story in the future and figure out what 771 00:44:57,520 --> 00:45:03,160 Speaker 4: the obelisk mean for the human experiment. Do they mean that, like, 772 00:45:03,400 --> 00:45:08,319 Speaker 4: is it some sort of evolutionary vestige that has no 773 00:45:08,480 --> 00:45:13,600 Speaker 4: real reverence, no harm, or no benefit to humans. Is 774 00:45:13,680 --> 00:45:16,680 Speaker 4: it something that we don't understand yet that may be 775 00:45:16,840 --> 00:45:20,480 Speaker 4: affecting behavior or growth or reproduction in some way? What 776 00:45:20,600 --> 00:45:22,160 Speaker 4: happens when you make out with people? 777 00:45:22,680 --> 00:45:26,279 Speaker 3: Do you trade that modo? Now? I gotta say, Ben, 778 00:45:26,360 --> 00:45:29,560 Speaker 3: I really appreciate you catching this in terms of a cryptid, 779 00:45:29,800 --> 00:45:34,160 Speaker 3: because we never really think about cryptids being like undiscovered 780 00:45:34,239 --> 00:45:37,680 Speaker 3: microbes or like things in our bodies. But you know, 781 00:45:37,840 --> 00:45:40,680 Speaker 3: let's let's let's give credit where credit is due. They 782 00:45:40,719 --> 00:45:45,960 Speaker 3: are biological beings, so they should be considered on the. 783 00:45:45,920 --> 00:45:49,920 Speaker 4: Table for cryptid conversation. So well done, sir, Oh, thank you, sir. 784 00:45:50,040 --> 00:45:51,799 Speaker 4: What if they're I mean, that's the other thing. The 785 00:45:51,880 --> 00:45:54,880 Speaker 4: safe answer is, what if they're just sort of hitching 786 00:45:54,960 --> 00:45:59,000 Speaker 4: a ride in the in the biological credits of What 787 00:45:59,120 --> 00:46:02,000 Speaker 4: Makes Your Life if You're human? You know what I mean? 788 00:46:02,040 --> 00:46:04,400 Speaker 4: How sometimes you're watching the credits of a very long 789 00:46:04,440 --> 00:46:07,719 Speaker 4: film and someone just slides in with one credit. What 790 00:46:07,760 --> 00:46:10,640 Speaker 4: if that's what if that's the opolisk? What if they're 791 00:46:11,080 --> 00:46:13,640 Speaker 4: just running the time out to stay as part of 792 00:46:13,680 --> 00:46:17,040 Speaker 4: the franchise. I don't know. I don't know, but we 793 00:46:17,160 --> 00:46:20,719 Speaker 4: do have a lot to learn about I don't know 794 00:46:20,719 --> 00:46:24,920 Speaker 4: about the human question. It seems like the more humans 795 00:46:25,600 --> 00:46:28,640 Speaker 4: learn about the very very big things and the very 796 00:46:28,760 --> 00:46:33,280 Speaker 4: very small things, the more questions proliferate, like what would 797 00:46:33,280 --> 00:46:36,160 Speaker 4: if we gamed this out? If we just played you know, 798 00:46:36,320 --> 00:46:41,279 Speaker 4: sort of conspiracy cinematic universe here, what would be the 799 00:46:41,400 --> 00:46:46,640 Speaker 4: coolest implication of an undiscovered life form in the human body? 800 00:46:47,120 --> 00:46:49,160 Speaker 4: What would be like the coolest thing a superpower? 801 00:46:49,320 --> 00:46:49,640 Speaker 3: Maybe? 802 00:46:49,680 --> 00:46:50,200 Speaker 4: I don't know. 803 00:46:50,360 --> 00:46:53,600 Speaker 3: Well, I mean, you know, we recently did a video 804 00:46:54,400 --> 00:46:57,520 Speaker 3: which you can find and believe on Instagram and also 805 00:46:57,600 --> 00:47:01,560 Speaker 3: YouTube shorts about the fungus space fungus right, and the 806 00:47:01,600 --> 00:47:06,680 Speaker 3: idea of fungi fungi being alien beings that are really 807 00:47:06,760 --> 00:47:10,000 Speaker 3: good at hitching rides, you know, out into space, and 808 00:47:10,040 --> 00:47:14,440 Speaker 3: they're also like uniquely suited to exist out there. So this, 809 00:47:14,560 --> 00:47:17,880 Speaker 3: to me is part of that same kind of conversation. 810 00:47:18,040 --> 00:47:20,400 Speaker 3: I don't know, it's very interesting stuff, Matt, What do 811 00:47:20,440 --> 00:47:20,680 Speaker 3: you have? 812 00:47:20,760 --> 00:47:23,520 Speaker 4: What kind of superpower would you want to discover with 813 00:47:23,640 --> 00:47:25,920 Speaker 4: an obelisk population? 814 00:47:27,920 --> 00:47:32,680 Speaker 5: Let's see, it's got minor amounts of genetic information. Certain 815 00:47:32,760 --> 00:47:41,399 Speaker 5: obelisks can transfer rapid mutations into genetic material. So one 816 00:47:41,440 --> 00:47:45,600 Speaker 5: of them would allow me to grow actual wings back 817 00:47:45,600 --> 00:47:50,879 Speaker 5: here into it, thinking, I don't know, let's go, let's 818 00:47:50,920 --> 00:47:54,200 Speaker 5: go full owl style wings with some big old feathers. 819 00:47:54,360 --> 00:47:55,200 Speaker 2: Yep, that's what I want. 820 00:47:55,360 --> 00:47:58,319 Speaker 3: Tight massive talents perhaps. 821 00:47:58,160 --> 00:47:59,800 Speaker 5: No, no, no, I don't want the talents. Some of 822 00:47:59,880 --> 00:48:01,240 Speaker 5: the grab grabby hands. 823 00:48:02,320 --> 00:48:03,520 Speaker 4: Got to get the thumbs. 824 00:48:03,719 --> 00:48:06,359 Speaker 3: Classic owls are freaky, dude, the way they turn their 825 00:48:06,400 --> 00:48:09,680 Speaker 3: heads three hundred and sixty degrees like Exorcist style. They're neary, 826 00:48:10,000 --> 00:48:14,160 Speaker 3: scary guys, beautiful but also matt Your owl style wings 827 00:48:14,160 --> 00:48:17,320 Speaker 3: would allow you to fly soundlessly. 828 00:48:17,440 --> 00:48:19,240 Speaker 4: If your bones are also hollow. 829 00:48:19,440 --> 00:48:24,480 Speaker 2: Oh wow, it does does that too? Okay, called it. 830 00:48:24,640 --> 00:48:27,000 Speaker 5: Let's let's change it up. Let's do super dense bones, 831 00:48:27,160 --> 00:48:28,080 Speaker 5: dragon wings. 832 00:48:29,520 --> 00:48:31,839 Speaker 4: Go for it now at the fire end too. It's 833 00:48:31,880 --> 00:48:37,760 Speaker 4: like guacamole at the Chipotle of superpowers. I am good 834 00:48:37,800 --> 00:48:42,840 Speaker 4: friends with a couple of owls in in my US neighborhood. 835 00:48:42,920 --> 00:48:44,799 Speaker 3: Here we have a neighborhood owl as well. Ben. 836 00:48:45,040 --> 00:48:47,840 Speaker 4: Yeah, hey, it might be the same one they get around, 837 00:48:48,120 --> 00:48:55,400 Speaker 4: you know, uh soundlessly right right. They've sacrificed agility for stealth, 838 00:48:55,600 --> 00:49:00,440 Speaker 4: which happens, you know. Aircraft are slowly learning to imitate 839 00:49:00,840 --> 00:49:04,200 Speaker 4: things that birds and vented are discovered or evolved years 840 00:49:04,280 --> 00:49:07,480 Speaker 4: and years ago. I do think we are on the 841 00:49:07,640 --> 00:49:13,280 Speaker 4: verge of a fascinating exploration here. Now, to be clear, 842 00:49:13,600 --> 00:49:18,680 Speaker 4: if you have types of obelisk life forms or viroids 843 00:49:18,840 --> 00:49:22,120 Speaker 4: in your mouth or your gut, right now, they're probably 844 00:49:22,160 --> 00:49:26,319 Speaker 4: not a forever gift. The Stanford boffins currently believe that 845 00:49:26,400 --> 00:49:29,920 Speaker 4: you could harbor a single type of obelisk for maybe 846 00:49:29,960 --> 00:49:32,920 Speaker 4: around a year. So we don't know how they transmit, 847 00:49:33,800 --> 00:49:36,800 Speaker 4: we don't know where they've come from or where they're going, 848 00:49:37,200 --> 00:49:40,960 Speaker 4: but we do know they're real and that that is 849 00:49:41,000 --> 00:49:45,160 Speaker 4: a strange discovery. There's one one more thing I'd like 850 00:49:45,200 --> 00:49:47,440 Speaker 4: to set up if we have time before we end today. 851 00:49:47,920 --> 00:49:49,880 Speaker 4: Is that Okay, guys, it's a true crime story. 852 00:49:50,120 --> 00:49:50,680 Speaker 3: Yeah. Please. 853 00:49:50,960 --> 00:49:54,360 Speaker 4: So, just as we were coming into record this evening, 854 00:49:54,640 --> 00:50:01,799 Speaker 4: we read some frankly disturbing news named Victoria Hill in 855 00:50:01,920 --> 00:50:07,400 Speaker 4: Connecticut found out that her she purchased a DNA testing 856 00:50:07,480 --> 00:50:11,280 Speaker 4: kid from twenty three and me, and she found out 857 00:50:11,680 --> 00:50:15,720 Speaker 4: that she had many more siblings than she had ever thought. 858 00:50:16,440 --> 00:50:20,120 Speaker 4: She has around twenty two and maybe more. And that's 859 00:50:20,160 --> 00:50:23,879 Speaker 4: because she is a victim of what is now being 860 00:50:23,920 --> 00:50:27,400 Speaker 4: called fertility fraud. Remember when we did the story about 861 00:50:27,440 --> 00:50:32,280 Speaker 4: that guy who was like super into donating in sperm everywhere? Sure, 862 00:50:32,560 --> 00:50:35,560 Speaker 4: oh yeah, yeah, it seems like it seems like there's 863 00:50:35,600 --> 00:50:40,800 Speaker 4: another case of this. Hill found out that her biological 864 00:50:40,840 --> 00:50:44,279 Speaker 4: father was not the guy she grew up with, but 865 00:50:44,440 --> 00:50:48,479 Speaker 4: it was the fertility doctor who had been helping her 866 00:50:48,520 --> 00:50:54,719 Speaker 4: mother to conceive. Further, she found that one of her 867 00:50:54,760 --> 00:50:58,480 Speaker 4: newly discovered siblings was her former high school boyfriend. 868 00:50:59,200 --> 00:51:05,719 Speaker 5: Okay, ye, heavy, heavy, Yeah, there's that podcast. I can't 869 00:51:05,760 --> 00:51:08,840 Speaker 5: remember some Uh sick maybe is the name of the podcast. 870 00:51:08,960 --> 00:51:11,680 Speaker 5: Some it's about a fertility doctor that was doing all 871 00:51:11,680 --> 00:51:12,440 Speaker 5: that kind of stuff. 872 00:51:12,480 --> 00:51:13,520 Speaker 2: And there's something there set. 873 00:51:13,600 --> 00:51:16,760 Speaker 5: There's so many right now where it's like, fertility doctors 874 00:51:17,160 --> 00:51:17,960 Speaker 5: be doing stuff. 875 00:51:18,360 --> 00:51:22,759 Speaker 4: Yeah, and apparently it's another problem of they do be 876 00:51:22,880 --> 00:51:23,480 Speaker 4: doing stuff. 877 00:51:23,560 --> 00:51:27,959 Speaker 2: Yes, I'm sorry that was I'm so sorry. Guys. 878 00:51:28,360 --> 00:51:31,480 Speaker 4: We do see though that it is another case of 879 00:51:31,560 --> 00:51:34,080 Speaker 4: some of a flag I've been waving for years, which 880 00:51:34,160 --> 00:51:39,080 Speaker 4: is legislation not catching up with technology. There are no 881 00:51:40,360 --> 00:51:44,520 Speaker 4: there aren't really comprehensive laws against this kind of pretty 882 00:51:44,560 --> 00:51:50,440 Speaker 4: serious crime with clear intergenerational consequences. I don't think lawmakers 883 00:51:50,520 --> 00:51:55,400 Speaker 4: are very clear yet on how to how to legislate 884 00:51:55,440 --> 00:51:59,080 Speaker 4: on it. But the a CNN investigation found that the 885 00:51:59,120 --> 00:52:02,640 Speaker 4: majority of you states do not have laws against what 886 00:52:02,680 --> 00:52:05,880 Speaker 4: we would call fertility fraud. And if you want some 887 00:52:06,000 --> 00:52:10,920 Speaker 4: kind of justice, some kind of recourse, the doctors are 888 00:52:10,920 --> 00:52:14,440 Speaker 4: bad faith actors that you're accusing. They have a huge 889 00:52:14,480 --> 00:52:17,440 Speaker 4: advantage in court and it's very difficult to get them 890 00:52:17,480 --> 00:52:21,719 Speaker 4: to even stop practicing, much less face criminal consequences. So 891 00:52:21,800 --> 00:52:24,960 Speaker 4: if you'd like to read more about this, check out 892 00:52:25,120 --> 00:52:29,480 Speaker 4: the excellent work by CNN which is ongoing now, the 893 00:52:29,560 --> 00:52:34,160 Speaker 4: journalist Rob Kusnia, Alison Gordon, Nellie Black and kill law. 894 00:52:35,000 --> 00:52:38,800 Speaker 4: This again, this is breaking news. The Valentine's Day timing 895 00:52:38,880 --> 00:52:41,920 Speaker 4: is unfortunate. And with that, thank you, as always so 896 00:52:42,000 --> 00:52:45,360 Speaker 4: much for tuning in this evening. Fellow conspiracy realist. We 897 00:52:45,400 --> 00:52:48,200 Speaker 4: hope this finds you wealthy. We hope this finds you healthy. 898 00:52:48,480 --> 00:52:51,279 Speaker 4: We hope you have made friends with the strange cryptids 899 00:52:51,400 --> 00:52:52,560 Speaker 4: in your guts? 900 00:52:52,960 --> 00:52:54,960 Speaker 3: Uh for that? 901 00:52:55,040 --> 00:52:58,239 Speaker 4: Man? Oh yeah yeah, yeah yeah. Let us know what 902 00:52:58,320 --> 00:53:01,160 Speaker 4: you think about any and all all of these tales. 903 00:53:01,200 --> 00:53:03,840 Speaker 4: We try to be easy to find online, correct. 904 00:53:03,920 --> 00:53:06,719 Speaker 3: You can find this at the handle conspiracy Stuff where 905 00:53:06,800 --> 00:53:11,560 Speaker 3: we exist on Facebook in our Facebook group Here's where 906 00:53:11,560 --> 00:53:16,320 Speaker 3: it gets crazy. We are also that handle on x FKA, 907 00:53:16,480 --> 00:53:19,000 Speaker 3: Twitter and you too, where you can find all sorts 908 00:53:19,040 --> 00:53:22,759 Speaker 3: of fun video content every single week. We are Conspiracy 909 00:53:22,760 --> 00:53:26,920 Speaker 3: Stuff Show. 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