1 00:00:00,240 --> 00:00:04,680 Speaker 1: From UFOs to psychic powers and government conspiracies. History is 2 00:00:04,760 --> 00:00:09,080 Speaker 1: riddled with unexplained events. You can turn back now or 3 00:00:09,200 --> 00:00:12,079 Speaker 1: learn the stuff they don't want you to know. A 4 00:00:12,200 --> 00:00:26,080 Speaker 1: production of I Heart Radio. Hello, welcome back to the show. 5 00:00:26,120 --> 00:00:28,520 Speaker 1: My name is Matt, my name is Noel. They called 6 00:00:28,560 --> 00:00:31,440 Speaker 1: me Ben. We're joined as always with our super producer 7 00:00:31,560 --> 00:00:36,159 Speaker 1: Alexis code named Doc Holiday Jackson. Most importantly, you are you. 8 00:00:36,159 --> 00:00:39,120 Speaker 1: You are here, and that makes this stuff they don't 9 00:00:39,200 --> 00:00:41,560 Speaker 1: want you to know. It's the top of the week, 10 00:00:41,920 --> 00:00:46,280 Speaker 1: which means it is time for some strange news. We're 11 00:00:46,479 --> 00:00:49,599 Speaker 1: learning more about the animals we share the world with 12 00:00:49,840 --> 00:00:53,720 Speaker 1: in a very interesting way. We're learning more about corruption 13 00:00:54,200 --> 00:00:57,520 Speaker 1: in law enforcement, and perhaps in case you may not 14 00:00:57,600 --> 00:00:59,880 Speaker 1: have heard of, uh, this is one that Matt said 15 00:01:00,000 --> 00:01:04,319 Speaker 1: will terrify people with a significant other. And we have 16 00:01:04,560 --> 00:01:11,080 Speaker 1: a breaking report as we record today about a would 17 00:01:11,160 --> 00:01:15,280 Speaker 1: be active supervillaining that's very plausible and it came very 18 00:01:15,319 --> 00:01:21,280 Speaker 1: close to uh killing people. And that's where we're starting. Okay, yes, 19 00:01:22,560 --> 00:01:26,720 Speaker 1: very well then, gentlemen. UH So, you may or may 20 00:01:26,800 --> 00:01:31,720 Speaker 1: not be familiar with the town of Old Smart, Florida. 21 00:01:32,240 --> 00:01:36,080 Speaker 1: It's not super big. It has a population of thirteen thousand, 22 00:01:36,240 --> 00:01:40,160 Speaker 1: five hundred and nine. It is if you look at 23 00:01:40,200 --> 00:01:44,279 Speaker 1: it on a map, it's part of Penellis County, which 24 00:01:44,520 --> 00:01:48,360 Speaker 1: is faith It's on the Gulf side of Mexico side 25 00:01:48,360 --> 00:01:50,160 Speaker 1: of Florida. So if you're looking the map, it's on 26 00:01:50,200 --> 00:01:54,560 Speaker 1: the left. Uh, it's it's not Panhandle country. It's it's 27 00:01:54,600 --> 00:01:57,920 Speaker 1: kind of in the scoop out of the Gulf and 28 00:01:58,920 --> 00:02:05,000 Speaker 1: clear Water and St. Petersburg. Shout out scientology. We don't 29 00:02:05,000 --> 00:02:07,600 Speaker 1: believe scientology is involved with the story you are about 30 00:02:07,600 --> 00:02:12,760 Speaker 1: to hear today. But again, this is fresh baked news. 31 00:02:13,480 --> 00:02:17,560 Speaker 1: This town is like many towns in the US. It 32 00:02:17,600 --> 00:02:22,320 Speaker 1: has infrastructure, right, It has traffic lights, it has sewage, 33 00:02:22,400 --> 00:02:28,520 Speaker 1: it has electricity. It also has water treatment, waste treatment. 34 00:02:29,040 --> 00:02:33,640 Speaker 1: Anybody has looked into conspiracy theories about fluoride and what 35 00:02:33,760 --> 00:02:38,480 Speaker 1: exactly goes into your local tap water is aware that 36 00:02:38,760 --> 00:02:41,720 Speaker 1: water treatment plants are one of those. They're one of 37 00:02:41,720 --> 00:02:44,760 Speaker 1: those boring things to protect, you know what I mean, Like, 38 00:02:45,160 --> 00:02:50,560 Speaker 1: no one everybody wants to save, uh, the the beautiful 39 00:02:50,639 --> 00:02:54,680 Speaker 1: building or the historic monument. But the whales. The whales, Yeah, 40 00:02:54,760 --> 00:02:58,680 Speaker 1: we're the fuzzy, big eyed mammals. But no one wants 41 00:02:58,720 --> 00:03:02,960 Speaker 1: to really wants to make a news story about just 42 00:03:03,040 --> 00:03:07,639 Speaker 1: how vulnerable our waste water and water treatment plants are. 43 00:03:08,400 --> 00:03:15,519 Speaker 1: Here's what happened. Someone remotely accessed the city's water treatment 44 00:03:15,680 --> 00:03:20,200 Speaker 1: system very recently in Old Smarre, Florida, and they just 45 00:03:20,480 --> 00:03:23,680 Speaker 1: through this hack, just through this exploit, they were able 46 00:03:23,720 --> 00:03:28,799 Speaker 1: to increase the amount of sodium hydroxide by a factor 47 00:03:29,000 --> 00:03:33,000 Speaker 1: more than one hundred in in the water system. Uh. 48 00:03:33,040 --> 00:03:36,520 Speaker 1: Sodium hydroxide is the fancy name for what we call 49 00:03:36,840 --> 00:03:41,600 Speaker 1: lie L y E. Lie is used in very small 50 00:03:41,600 --> 00:03:44,960 Speaker 1: amounts to control the acidity of water. But it is 51 00:03:45,000 --> 00:03:47,840 Speaker 1: also you know, most recognizable to a lot of us 52 00:03:47,880 --> 00:03:52,200 Speaker 1: as an ingredient in household cleaning supplies. It's also a 53 00:03:52,240 --> 00:03:56,119 Speaker 1: product many true crime fan buffs out there might recognize 54 00:03:56,160 --> 00:04:00,320 Speaker 1: as being used when disposing of bodies. Yeah, back in 55 00:04:00,320 --> 00:04:02,480 Speaker 1: the day when it was way easier to get rid 56 00:04:02,520 --> 00:04:05,280 Speaker 1: of a body. I'm telling you, guys. But the point 57 00:04:05,280 --> 00:04:08,560 Speaker 1: of this is the point of this is that, if 58 00:04:08,600 --> 00:04:12,840 Speaker 1: you want to picture it and simplify terms, perhaps oversimplified, 59 00:04:13,440 --> 00:04:19,800 Speaker 1: someone without ever physically entering this treatment system, someone was 60 00:04:19,880 --> 00:04:25,000 Speaker 1: able to pour drain cleaner into the town. So they 61 00:04:25,040 --> 00:04:31,000 Speaker 1: made it such that people were possibly drinking possibly drinking 62 00:04:31,080 --> 00:04:33,560 Speaker 1: drink cleaner from a faucet. And then of course, if 63 00:04:33,600 --> 00:04:37,960 Speaker 1: there's a refrigerator that makes ice cubes automatically, that's that's 64 00:04:38,000 --> 00:04:42,360 Speaker 1: another factor that plays in why are we being somewhat 65 00:04:42,480 --> 00:04:47,000 Speaker 1: living cheerful describing this? Well? In this case, this one time, 66 00:04:47,400 --> 00:04:50,960 Speaker 1: it turns out that they were able to prevent this 67 00:04:51,080 --> 00:04:55,880 Speaker 1: disaster from occurring. This like super villain breaking bad level 68 00:04:56,080 --> 00:05:00,200 Speaker 1: plausible scheme. Uh. The city's water supply was thankfully not 69 00:05:00,920 --> 00:05:04,679 Speaker 1: affected because there was a supervisor at the water treatment 70 00:05:04,720 --> 00:05:08,080 Speaker 1: plants who, like many of us these days, was working remotely, 71 00:05:08,160 --> 00:05:12,680 Speaker 1: working from home. And picture this guy. He's just got 72 00:05:12,720 --> 00:05:15,359 Speaker 1: his computer screen up right, it's like at water levels 73 00:05:15,800 --> 00:05:19,680 Speaker 1: and uh, the picture whatever metrics who want to picture here? 74 00:05:20,200 --> 00:05:23,640 Speaker 1: Let's go early two thousand's Hacker movie, and let's just 75 00:05:23,640 --> 00:05:27,760 Speaker 1: say there's a screen that cartoonishly explains what's going on 76 00:05:28,160 --> 00:05:31,440 Speaker 1: because they can't do exposition vo or whatever, it's not 77 00:05:31,480 --> 00:05:34,640 Speaker 1: the right part of the story. This guy is looking 78 00:05:34,680 --> 00:05:39,080 Speaker 1: at the screen and he sees the sodium hydroxide level 79 00:05:39,200 --> 00:05:47,440 Speaker 1: just sort of me and he goes, oh, dang, good thing, 80 00:05:47,440 --> 00:05:49,040 Speaker 1: I don't have to put my pants on and go 81 00:05:49,160 --> 00:05:55,840 Speaker 1: over there delete UH. City officials today said that they 82 00:05:55,920 --> 00:06:01,440 Speaker 1: had instituted several safeguards after this. They want to going 83 00:06:01,520 --> 00:06:06,240 Speaker 1: forward have a system to prevent any water that could 84 00:06:06,279 --> 00:06:09,919 Speaker 1: have been contaminated from reaching the public, and they also 85 00:06:10,400 --> 00:06:15,720 Speaker 1: hopefully will be a little more mindful of how people 86 00:06:15,760 --> 00:06:18,520 Speaker 1: are able to access their system. At this point, nobody 87 00:06:18,520 --> 00:06:22,480 Speaker 1: has been arrested. There are some leads. No one knows 88 00:06:22,640 --> 00:06:26,560 Speaker 1: why Old Smart Florida was targeted in this attack, and 89 00:06:26,760 --> 00:06:31,080 Speaker 1: other infrastructure hubs are on the lookout in Dallas and 90 00:06:31,240 --> 00:06:36,279 Speaker 1: in adjacent counties. It's weird because the authorities are saying 91 00:06:36,320 --> 00:06:39,080 Speaker 1: that even if they hadn't caught this, it would have 92 00:06:39,160 --> 00:06:42,039 Speaker 1: taken more than a day, more than twenty four hours 93 00:06:42,080 --> 00:06:44,800 Speaker 1: for this water that was being processed with LIE to 94 00:06:45,120 --> 00:06:49,719 Speaker 1: enter the water supply. This story is interesting. We don't 95 00:06:49,720 --> 00:06:52,279 Speaker 1: have we don't have all the details yet because it 96 00:06:52,400 --> 00:06:57,560 Speaker 1: literally was happening today before we recorded UH. If if 97 00:06:57,600 --> 00:07:02,919 Speaker 1: the LIE did enter the waters apply in this concentration, 98 00:07:03,480 --> 00:07:07,320 Speaker 1: it could cause massive damage to people's skin. It could 99 00:07:07,400 --> 00:07:10,760 Speaker 1: cause hair loss. This is according to the National Center 100 00:07:10,800 --> 00:07:15,800 Speaker 1: of Biotechnology Information. Most importantly, folks ingestion of this stuff, 101 00:07:16,120 --> 00:07:20,440 Speaker 1: as we know from crimes of previous decades. Ingestion of 102 00:07:20,520 --> 00:07:24,960 Speaker 1: this stuff can be fatal. It eats bodies. This got 103 00:07:24,960 --> 00:07:26,680 Speaker 1: me thinking, you know, wanted to share this story with 104 00:07:26,720 --> 00:07:31,440 Speaker 1: you guys. This got me thinking about the bigger picture. Like, um, 105 00:07:31,680 --> 00:07:35,760 Speaker 1: years ago on car stuff, I learned that it is 106 00:07:36,800 --> 00:07:42,120 Speaker 1: terrifyingly easy for someone to hack into your local municipalities 107 00:07:42,480 --> 00:07:47,960 Speaker 1: traffic light system. Like it's stupid easy. It's weird that 108 00:07:48,000 --> 00:07:51,080 Speaker 1: it doesn't happen more often. But what do you guys 109 00:07:51,120 --> 00:07:53,840 Speaker 1: think about this story? Like, do you what's your opinion 110 00:07:53,920 --> 00:07:56,640 Speaker 1: on the water supply in general? Were very lucky in 111 00:07:56,680 --> 00:07:58,720 Speaker 1: this country to be able to drink directly from a 112 00:07:58,760 --> 00:08:02,400 Speaker 1: faucet in most places outside of Flint, Michigan. I agree. 113 00:08:02,600 --> 00:08:04,360 Speaker 1: I will say this that, like my daughter refuses to 114 00:08:04,440 --> 00:08:07,040 Speaker 1: drink tap water. Um, I think the tap water in 115 00:08:07,080 --> 00:08:10,080 Speaker 1: my house tastes pretty good, but she is convinced that 116 00:08:10,200 --> 00:08:14,160 Speaker 1: it is poisonous. M hmm. Well, we know, we know 117 00:08:14,280 --> 00:08:18,440 Speaker 1: that there's a certain level of allowable stuff in any 118 00:08:18,520 --> 00:08:23,720 Speaker 1: water system because it's nearly impossible to remove it at scale, 119 00:08:23,840 --> 00:08:29,040 Speaker 1: like remove everything completely at scale. Um. Perhaps one of 120 00:08:29,040 --> 00:08:32,000 Speaker 1: the reasons why what would what would you call those 121 00:08:32,600 --> 00:08:38,000 Speaker 1: like at the tap filtration at the refrigerator level. Yeah, 122 00:08:38,040 --> 00:08:41,640 Speaker 1: brita filter or even becoming very popular now are filters 123 00:08:41,679 --> 00:08:44,040 Speaker 1: that you actually put on your house, like underneath your 124 00:08:44,040 --> 00:08:47,040 Speaker 1: house that adds an extra level of filtration to all 125 00:08:47,120 --> 00:08:51,800 Speaker 1: water coming into your home. Um, it makes sense. I 126 00:08:51,840 --> 00:08:55,520 Speaker 1: think I have I have a cousin who she's got 127 00:08:55,559 --> 00:08:59,360 Speaker 1: like an eight level filtration system for all of her 128 00:08:59,360 --> 00:09:03,439 Speaker 1: water that's that's considered potable that she will drink and shed, 129 00:09:03,840 --> 00:09:08,480 Speaker 1: and it's it's incredible and intricate, and the water tastes 130 00:09:08,559 --> 00:09:11,320 Speaker 1: fine when it comes through the system. It tastes very 131 00:09:11,360 --> 00:09:14,400 Speaker 1: similar to me, to to other water produced in her area. 132 00:09:14,480 --> 00:09:18,680 Speaker 1: But it's you know, there's a level of anxiety about it, 133 00:09:18,920 --> 00:09:22,440 Speaker 1: I think because we kind of all know now that 134 00:09:22,559 --> 00:09:26,320 Speaker 1: fact that there's gonna be some stuff in there. Yeah. Yeah, 135 00:09:26,320 --> 00:09:31,439 Speaker 1: you're absolutely right, Matt. Uh. The thing about most retail filters, 136 00:09:31,520 --> 00:09:34,520 Speaker 1: or many retail filters, and we're not selling these here. Uh, 137 00:09:34,920 --> 00:09:37,120 Speaker 1: the thing about most of those is that they do 138 00:09:37,200 --> 00:09:41,560 Speaker 1: not filter out heavy metals, right, even if you are 139 00:09:41,920 --> 00:09:44,640 Speaker 1: even if you're someone who has a life straw, it's 140 00:09:44,640 --> 00:09:46,880 Speaker 1: a tremendous device. Even if you're someone who has a 141 00:09:46,880 --> 00:09:50,360 Speaker 1: life straw in your go bag or something like that 142 00:09:50,360 --> 00:09:54,320 Speaker 1: that will allow you to drink from still water and 143 00:09:54,400 --> 00:09:58,720 Speaker 1: it will kill many biological contaminants. But even with the 144 00:09:58,760 --> 00:10:03,600 Speaker 1: top notch outer treatment of Europe or the US, etcetera, 145 00:10:03,760 --> 00:10:06,679 Speaker 1: what you'll see is that the water post treatment still 146 00:10:06,760 --> 00:10:12,520 Speaker 1: contains things like aluminum or copper, iron, lead, pesticides, sometimes 147 00:10:12,520 --> 00:10:18,120 Speaker 1: geranium for that tang and and these contaminants all composed 148 00:10:18,280 --> 00:10:23,800 Speaker 1: dangerous side effects. But people working in water treatment are 149 00:10:24,240 --> 00:10:28,000 Speaker 1: top notch with the research on this. The allowable parts 150 00:10:28,040 --> 00:10:32,160 Speaker 1: per million threshold. It's not something arbitrary, nor is it 151 00:10:32,280 --> 00:10:35,320 Speaker 1: something made up out of thin air like we've seen 152 00:10:35,320 --> 00:10:38,840 Speaker 1: in our earlier show on Mead Nebraska. Men, what would 153 00:10:38,880 --> 00:10:42,640 Speaker 1: you consider this an act of domestic terrorism just like 154 00:10:42,720 --> 00:10:46,000 Speaker 1: a really mean spirited pranc Yes, s it's an act 155 00:10:46,040 --> 00:10:50,400 Speaker 1: of domestic terrorism technically, Yeah, for sure. It is pretty 156 00:10:50,400 --> 00:10:55,760 Speaker 1: astounding that these systems that you could control chemicals like 157 00:10:55,800 --> 00:10:59,760 Speaker 1: that remotely, like there they exist with with a some 158 00:10:59,840 --> 00:11:01,920 Speaker 1: kind a VP and access or some kind of you know, 159 00:11:01,960 --> 00:11:05,920 Speaker 1: remote access built into them. That's that's kind of creepy. 160 00:11:06,440 --> 00:11:09,720 Speaker 1: What positive factor does the LIE have anyway? Why is 161 00:11:09,760 --> 00:11:13,599 Speaker 1: there a LIE tap going into the water supply that 162 00:11:13,679 --> 00:11:16,280 Speaker 1: I missed that. I mean, they can't imagine the filtration 163 00:11:16,400 --> 00:11:19,559 Speaker 1: is like variable? Are there is it saying that like 164 00:11:19,880 --> 00:11:25,280 Speaker 1: the hacker essentially changed a parameter that allowed more LIE 165 00:11:25,400 --> 00:11:30,760 Speaker 1: to get through the filters, or actually introduced more LIE 166 00:11:30,840 --> 00:11:34,400 Speaker 1: into the water supply. What it seems to be is 167 00:11:34,559 --> 00:11:38,360 Speaker 1: that they were able to do both. They were able 168 00:11:38,400 --> 00:11:44,319 Speaker 1: to influence the constraints of the measurement, which inherently allowed 169 00:11:44,760 --> 00:11:49,640 Speaker 1: more LIE into the system. Why they did it, we 170 00:11:49,679 --> 00:11:53,880 Speaker 1: don't know. You know, one of the easiest, lowest hanging fruits, 171 00:11:53,960 --> 00:11:56,240 Speaker 1: as far as a lead would go, would be maybe 172 00:11:56,240 --> 00:12:00,240 Speaker 1: a disgruntled employee, someone who had the knowledge of the thing. 173 00:12:00,960 --> 00:12:03,959 Speaker 1: At this point, we don't know how much other stuff, 174 00:12:04,000 --> 00:12:07,720 Speaker 1: if any, this hacker did, But we do know, and 175 00:12:07,720 --> 00:12:10,160 Speaker 1: I think it's instructive for all of us listening today. 176 00:12:10,440 --> 00:12:14,360 Speaker 1: We do know that these systems. Of course, because they 177 00:12:14,360 --> 00:12:18,480 Speaker 1: are boring and necessary, they are not subject to a 178 00:12:18,480 --> 00:12:20,760 Speaker 1: lot of scrutiny as much as they should be. Like 179 00:12:20,840 --> 00:12:24,160 Speaker 1: we have people focused on making sure the water is 180 00:12:24,160 --> 00:12:28,320 Speaker 1: safe to drink. We don't have people focused on making 181 00:12:28,360 --> 00:12:32,240 Speaker 1: sure the water system is secure, you know, like like, uh, 182 00:12:32,320 --> 00:12:34,760 Speaker 1: when we talk about fluorite in the water, we got 183 00:12:34,800 --> 00:12:39,080 Speaker 1: into the weeds on how many parts per million are 184 00:12:39,160 --> 00:12:42,080 Speaker 1: are allowed to exist right in your drinking water and 185 00:12:42,120 --> 00:12:44,840 Speaker 1: why it's there, and people still have a problem with that. Luckily, 186 00:12:44,920 --> 00:12:47,839 Speaker 1: I mean it was a supervisor that caught this on 187 00:12:47,840 --> 00:12:50,080 Speaker 1: on a on a you know whatever, like an interface 188 00:12:50,120 --> 00:12:52,360 Speaker 1: if you're working remotely, and I was able to see 189 00:12:52,640 --> 00:12:55,760 Speaker 1: the parameter being changed. We you did say this, Ben. 190 00:12:55,800 --> 00:12:58,680 Speaker 1: At the very top of that, there are small, small 191 00:12:59,120 --> 00:13:02,160 Speaker 1: amounts of LIE used to help reduce the acidity of 192 00:13:02,200 --> 00:13:04,760 Speaker 1: water supply. So obviously they've got a supply of it 193 00:13:04,920 --> 00:13:07,280 Speaker 1: somewhere that's being fed in the same way they like 194 00:13:07,320 --> 00:13:10,200 Speaker 1: fluoride and other you know, uh compounds that go in 195 00:13:10,240 --> 00:13:13,640 Speaker 1: and help treat the water. But yeah, that's a nasty one, man. 196 00:13:13,760 --> 00:13:16,680 Speaker 1: I can imagine if they succeeded and flooded the supply, 197 00:13:17,160 --> 00:13:20,000 Speaker 1: people would have been like getting you know there, their 198 00:13:20,160 --> 00:13:24,360 Speaker 1: esophagus is like corroded. Yeah. Yeah, Well the good thing 199 00:13:24,440 --> 00:13:26,360 Speaker 1: is what Ben, I think we talked. I don't know 200 00:13:26,400 --> 00:13:29,960 Speaker 1: if you mentioned this, the relative number of people that 201 00:13:30,000 --> 00:13:32,079 Speaker 1: could have been affected there in Old Smar. It was 202 00:13:32,760 --> 00:13:35,400 Speaker 1: it was so, I know, it's a handful of or 203 00:13:35,720 --> 00:13:41,080 Speaker 1: many businesses. But then about fifteen thousand residents. So there. 204 00:13:41,600 --> 00:13:43,480 Speaker 1: The good thing is that they're kind of separated away 205 00:13:43,480 --> 00:13:46,839 Speaker 1: with the old Smar water treatment facility to get their water. 206 00:13:47,120 --> 00:13:50,679 Speaker 1: That's what was affected, not the larger Penellas County uh 207 00:13:50,920 --> 00:13:55,280 Speaker 1: water systems. Right, And when I mentioned that supervisor at 208 00:13:55,320 --> 00:13:58,800 Speaker 1: the top who caught this and prevented this disaster, Um, 209 00:13:58,840 --> 00:14:03,200 Speaker 1: you know, I hope you're listening, sir or madam whoever 210 00:14:03,240 --> 00:14:06,280 Speaker 1: you are. H I'm sorry that we don't know your 211 00:14:06,360 --> 00:14:09,200 Speaker 1: name yet, but in my book, you're a hero and 212 00:14:09,240 --> 00:14:11,080 Speaker 1: that's a hell of a thing to learn at eight 213 00:14:11,120 --> 00:14:14,319 Speaker 1: am in the morning. So so, like I always say, 214 00:14:14,600 --> 00:14:20,040 Speaker 1: you know, picture that remote access screen. One interesting note 215 00:14:20,080 --> 00:14:23,520 Speaker 1: here is that, of course, if that person who works 216 00:14:23,560 --> 00:14:26,720 Speaker 1: there is able to access this system remotely, then it 217 00:14:26,760 --> 00:14:30,320 Speaker 1: follows that is not impossible. We're a bad actor to 218 00:14:30,480 --> 00:14:35,000 Speaker 1: access this. And think about if someone is motivated enough. 219 00:14:35,400 --> 00:14:39,200 Speaker 1: Think about how easy it is to set something up 220 00:14:39,240 --> 00:14:42,000 Speaker 1: such that you never see a red light again, it's 221 00:14:42,040 --> 00:14:44,680 Speaker 1: all green lights when you're driving. Think about how easy 222 00:14:44,720 --> 00:14:49,880 Speaker 1: it is to shut down parts of an electric grid, right, 223 00:14:49,960 --> 00:14:53,960 Speaker 1: electricity grid. We need to be aware of this stuff 224 00:14:54,480 --> 00:14:59,480 Speaker 1: and not to be super dystopian about it. But I 225 00:14:59,520 --> 00:15:03,120 Speaker 1: can see many more of these things on the way, 226 00:15:03,200 --> 00:15:05,600 Speaker 1: and a lot of them happen and don't get reported 227 00:15:05,720 --> 00:15:09,760 Speaker 1: outside of your local news. So stay safe, folks. Also, 228 00:15:09,880 --> 00:15:12,800 Speaker 1: don't hack your water system. And if you want to 229 00:15:12,800 --> 00:15:16,880 Speaker 1: give everybody in your global neck in the woods some 230 00:15:16,960 --> 00:15:22,080 Speaker 1: kind of crazy psychedelic experience, just know this. You probably 231 00:15:22,080 --> 00:15:24,800 Speaker 1: will not be able to control the dosage. First off, 232 00:15:24,800 --> 00:15:28,080 Speaker 1: you'll need a ton of it. It's walking through why 233 00:15:28,120 --> 00:15:31,600 Speaker 1: you shouldn't do this. You also won't be able to 234 00:15:32,800 --> 00:15:37,520 Speaker 1: guess the ripple effects or the consequences, because water is 235 00:15:37,600 --> 00:15:44,640 Speaker 1: like that baby Sharks song, It goes everywhere. And with that, 236 00:15:44,680 --> 00:15:47,640 Speaker 1: we're going to pause for a word from our sponsor 237 00:15:47,720 --> 00:15:58,000 Speaker 1: will return with more strange news, and we're back with 238 00:15:58,040 --> 00:16:01,360 Speaker 1: more of the strange news you depend on. That's right, 239 00:16:01,680 --> 00:16:04,160 Speaker 1: I went there. I'm doing the hard hitting story today 240 00:16:04,480 --> 00:16:10,560 Speaker 1: about wait for it, tiny little wrinkly naked baby rat 241 00:16:10,680 --> 00:16:14,520 Speaker 1: mole things. I'm sorry, mole rats whatever there. It's so creepy, guys, 242 00:16:14,600 --> 00:16:16,880 Speaker 1: I know, I don't know. Do you think they're cute? 243 00:16:17,120 --> 00:16:21,000 Speaker 1: I gotta no mole rats. I'm not expert and cute, 244 00:16:21,120 --> 00:16:24,920 Speaker 1: but I think they would they would find us, uh, 245 00:16:25,280 --> 00:16:27,800 Speaker 1: probably repulsive. Too, because we got all this air. We're 246 00:16:27,840 --> 00:16:30,760 Speaker 1: your suit pen. You are a master diplomat when it 247 00:16:30,760 --> 00:16:32,920 Speaker 1: comes to these things. That was expert hedging, and I 248 00:16:33,440 --> 00:16:35,880 Speaker 1: commend you on that, Matt. I'm gonna need you to 249 00:16:36,080 --> 00:16:40,200 Speaker 1: have a hard, hard opinion on this one, buddy. Um, Yeah, 250 00:16:40,240 --> 00:16:45,520 Speaker 1: these things are adorable. My son loves them. Whoa And yeah, 251 00:16:45,760 --> 00:16:47,440 Speaker 1: I mean he can go to the zoo and stare 252 00:16:47,480 --> 00:16:50,240 Speaker 1: at them all day long. They look like Freddy Krueger 253 00:16:50,480 --> 00:16:54,320 Speaker 1: meets nos Feratu with no hair, and they're perfectly pink, 254 00:16:54,360 --> 00:16:57,520 Speaker 1: and they have these cartoonish little pepper pig noses and 255 00:16:57,720 --> 00:17:01,760 Speaker 1: weird little salamander fingers. And but here's the thing. They 256 00:17:01,800 --> 00:17:04,200 Speaker 1: it's a trade off for these little guys because they 257 00:17:04,200 --> 00:17:10,359 Speaker 1: may be you know, monstrosities, tiny monstrosities admittedly, but they're 258 00:17:10,400 --> 00:17:14,360 Speaker 1: like noon invincible. Uh. They they live you know like 259 00:17:14,400 --> 00:17:17,240 Speaker 1: I had a Gerbil lived for like three months. You know, 260 00:17:17,359 --> 00:17:20,439 Speaker 1: these things for their size and the type of creature 261 00:17:20,480 --> 00:17:22,520 Speaker 1: they are with their their analogous you know to to 262 00:17:22,680 --> 00:17:25,040 Speaker 1: mice or rodents, you know, Uh, they live for like 263 00:17:25,119 --> 00:17:29,000 Speaker 1: thirty years. Um. They they don't ever see the sun, 264 00:17:29,320 --> 00:17:31,959 Speaker 1: which maybe has something to do with it. But they 265 00:17:32,000 --> 00:17:37,360 Speaker 1: also have apparently like like um, wolverine level like DNA 266 00:17:37,800 --> 00:17:42,800 Speaker 1: repair self repair capabilities, UM, to the point where they're 267 00:17:42,800 --> 00:17:45,720 Speaker 1: actually studied for a lot of things, one of which 268 00:17:45,880 --> 00:17:49,440 Speaker 1: is potentially learning something about how that DNA repairs itself 269 00:17:49,680 --> 00:17:53,480 Speaker 1: in an effort to harness it for treating things like cancer. 270 00:17:54,080 --> 00:17:57,280 Speaker 1: Another thing is they're pretty much blind. Their their eyes 271 00:17:57,320 --> 00:18:02,399 Speaker 1: are so small and squinty as to practically don't exist. Right, 272 00:18:02,760 --> 00:18:06,720 Speaker 1: that's right. They can barely hear um. And that's because 273 00:18:06,760 --> 00:18:12,080 Speaker 1: their ears can't amplify sound. Um. Unlike other mammals, they 274 00:18:12,160 --> 00:18:17,760 Speaker 1: have this very strange outer hair cells that don't amplify sound. 275 00:18:17,880 --> 00:18:20,080 Speaker 1: Isn't that weird? All you need to amplify sound for 276 00:18:20,119 --> 00:18:23,959 Speaker 1: something to be able to receive vibrations um, and apparently 277 00:18:24,280 --> 00:18:28,679 Speaker 1: this hair does not do that. Um. But this, you know, 278 00:18:28,960 --> 00:18:34,160 Speaker 1: peculiarity makes them interesting candidates to study to help develop 279 00:18:34,600 --> 00:18:39,679 Speaker 1: treatments for human deafness. Okay, so we got too fascinating 280 00:18:39,800 --> 00:18:43,560 Speaker 1: naked mole rat uh features superpowers even right off the rip. 281 00:18:43,800 --> 00:18:47,760 Speaker 1: But the latest is this that you know, how there's 282 00:18:47,760 --> 00:18:51,159 Speaker 1: an old joke about like did dogs in France, you know, 283 00:18:51,280 --> 00:18:54,119 Speaker 1: bark with the French accent or whatever or do you 284 00:18:54,160 --> 00:18:59,479 Speaker 1: know Norwegian cats have a different maw Uh. It seems silly, right, 285 00:18:59,520 --> 00:19:02,520 Speaker 1: it seems utterly absurd, But it turns out there might 286 00:19:02,560 --> 00:19:06,760 Speaker 1: be something to um questions like this because a new 287 00:19:06,920 --> 00:19:12,960 Speaker 1: study has shown that naked mole rats actually have dialects, 288 00:19:13,040 --> 00:19:17,440 Speaker 1: and that dialect comes directly from their queen. Because Ben, 289 00:19:17,440 --> 00:19:19,560 Speaker 1: as you pointed out when we were getting ready to 290 00:19:19,560 --> 00:19:22,479 Speaker 1: go on today, Matt, you too, Uh, they live in 291 00:19:22,600 --> 00:19:25,720 Speaker 1: colonies like the fake looking ones that that your son 292 00:19:26,080 --> 00:19:28,520 Speaker 1: is so taken by at the zoo, but they literally 293 00:19:28,560 --> 00:19:32,639 Speaker 1: live in these underground, subterranean, that's redundant colonies that are 294 00:19:32,680 --> 00:19:35,720 Speaker 1: like these you know, interconnected little kind of cubbies um 295 00:19:35,800 --> 00:19:38,080 Speaker 1: and the it's it's very much like a bee hive 296 00:19:38,240 --> 00:19:42,119 Speaker 1: situation because the queen is the only member of the 297 00:19:42,160 --> 00:19:46,840 Speaker 1: colony that reproduces. So every single individual in the colony, 298 00:19:46,960 --> 00:19:50,560 Speaker 1: sorry from the queen obviously, is the offspring of that queen, 299 00:19:50,640 --> 00:19:54,439 Speaker 1: and the queen is head han show uh to the max, 300 00:19:55,000 --> 00:19:59,440 Speaker 1: to the point where the Queen's vocal peculiarities are mimicked 301 00:20:00,040 --> 00:20:04,280 Speaker 1: by every other member of that colony. It's a cult. 302 00:20:04,760 --> 00:20:07,800 Speaker 1: Also want to point out their corpor facist if you 303 00:20:07,840 --> 00:20:11,119 Speaker 1: want to like they eat their own poop on a 304 00:20:11,160 --> 00:20:14,600 Speaker 1: regular basis. Well, maybe that's why they live so long. Guys, 305 00:20:14,600 --> 00:20:21,679 Speaker 1: maybe I have heard this is gonna sound no, drinking 306 00:20:21,720 --> 00:20:24,159 Speaker 1: your own p apparently isn't the worst thing in the 307 00:20:24,200 --> 00:20:26,679 Speaker 1: world for you. There's some health nuts that are all 308 00:20:26,720 --> 00:20:29,240 Speaker 1: about it. That's not going to kill you. Hey, well 309 00:20:29,240 --> 00:20:32,159 Speaker 1: we're talking like if it immediately leaves your system and 310 00:20:32,160 --> 00:20:34,840 Speaker 1: then goes back into your system, right, because the moment 311 00:20:35,760 --> 00:20:40,040 Speaker 1: pep hangs out for a minute, it's it's up to 312 00:20:40,080 --> 00:20:42,600 Speaker 1: no good as far as bacteria and other stuff goes right, 313 00:20:43,680 --> 00:20:45,679 Speaker 1: I'm pretty sure that's how I'm pretty sure that's how 314 00:20:45,680 --> 00:20:50,639 Speaker 1: it goes well for us to recommend drinking urine. We 315 00:20:50,720 --> 00:20:54,640 Speaker 1: just want to give you the latest, the latest opigions. 316 00:20:54,840 --> 00:20:59,480 Speaker 1: Uh yeah, the consumption of feces in naked mole rats 317 00:20:59,480 --> 00:21:03,280 Speaker 1: should not be held as an example or an aspirational 318 00:21:03,400 --> 00:21:07,680 Speaker 1: goal for humans. Uh. They're you social, They they are 319 00:21:07,720 --> 00:21:11,920 Speaker 1: tremendously different most other mammals can. I tell you. That's 320 00:21:11,960 --> 00:21:17,800 Speaker 1: just a quick story. So I have a beautiful, amazing 321 00:21:17,840 --> 00:21:21,800 Speaker 1: dog named Penny, and she is a very temperamental eater. 322 00:21:22,359 --> 00:21:24,880 Speaker 1: And you know, we take great pains not to give 323 00:21:24,880 --> 00:21:27,479 Speaker 1: her human food. But one thing we have to do 324 00:21:27,560 --> 00:21:30,080 Speaker 1: is give her these little treats sprinkled on her food 325 00:21:30,160 --> 00:21:33,160 Speaker 1: so that she will find them palatable. Because she liked 326 00:21:33,160 --> 00:21:37,760 Speaker 1: the molerat is a queen, uh. And for some reason 327 00:21:37,960 --> 00:21:41,280 Speaker 1: the other day we gave her a large treat that's 328 00:21:41,320 --> 00:21:44,760 Speaker 1: like I don't know, it was a yacht milk or 329 00:21:44,800 --> 00:21:47,679 Speaker 1: something weird like that. It was way too expensive and 330 00:21:47,720 --> 00:21:50,760 Speaker 1: it was it was like a celebration for her. But 331 00:21:50,880 --> 00:21:53,200 Speaker 1: she ate it over the course of a day or so. 332 00:21:54,200 --> 00:21:56,520 Speaker 1: And then I took her outside and I've never seen 333 00:21:56,560 --> 00:22:00,520 Speaker 1: her do this. Took a nice, big old dump and 334 00:22:00,680 --> 00:22:04,600 Speaker 1: just took a big old bite right after. And it 335 00:22:04,640 --> 00:22:08,600 Speaker 1: was because it was very reminiscent and I'm sure smelled 336 00:22:08,680 --> 00:22:15,160 Speaker 1: like that treat that she just devoured. God you ever 337 00:22:15,240 --> 00:22:21,760 Speaker 1: trying to brush a dog's teeth, Matt, Matt, No, Oh 338 00:22:21,800 --> 00:22:25,080 Speaker 1: my goodness, that is grosser and gross. As as the 339 00:22:25,119 --> 00:22:27,880 Speaker 1: kids once said, I want to really quickly struggle back. 340 00:22:28,000 --> 00:22:30,720 Speaker 1: Definitely not good for you to drink your omp. That 341 00:22:31,000 --> 00:22:34,040 Speaker 1: it was. It was considered like a folk remedy. And 342 00:22:34,080 --> 00:22:36,040 Speaker 1: there are a lot of kind of like old you know, 343 00:22:36,280 --> 00:22:40,240 Speaker 1: wives tail type situations and holistic remedies from the past 344 00:22:40,800 --> 00:22:43,919 Speaker 1: that involved drinking your MP, and that specifically was largely 345 00:22:43,960 --> 00:22:47,560 Speaker 1: because it was just like a readily available fluid um. 346 00:22:48,040 --> 00:22:50,280 Speaker 1: And definitely, you know, what your P is doing is 347 00:22:50,320 --> 00:22:54,080 Speaker 1: removing salts and contaminants from your body. So to turn 348 00:22:54,119 --> 00:22:56,280 Speaker 1: around and drink that back in while sure you're just 349 00:22:56,320 --> 00:22:59,040 Speaker 1: sterile and it's not gonna like get you sick. Um, 350 00:22:59,080 --> 00:23:02,520 Speaker 1: it's definitely you shouldn't be reintroducing those things back. Half 351 00:23:02,520 --> 00:23:07,359 Speaker 1: about drinking p and eating group us. That's how we 352 00:23:07,400 --> 00:23:11,960 Speaker 1: got here. A guy, that's the word corporate fact whatever. 353 00:23:11,960 --> 00:23:13,560 Speaker 1: When you said that initially been I thought you were 354 00:23:13,560 --> 00:23:21,440 Speaker 1: saying corporate fascists, and I'm like, that is a fascinating concept. 355 00:23:21,960 --> 00:23:24,760 Speaker 1: It would be, it would be, um. But it's true. 356 00:23:25,080 --> 00:23:34,040 Speaker 1: These vocal intonations are surprisingly uniform within these various colonies. 357 00:23:34,080 --> 00:23:37,240 Speaker 1: And the study comes from Alison Barker at the Max 358 00:23:37,320 --> 00:23:41,920 Speaker 1: Delbrook Center from Alecular Medicine in Germany. Along with her colleagues, 359 00:23:41,960 --> 00:23:45,119 Speaker 1: she studied thirty six thousand greeting calls because they have 360 00:23:45,200 --> 00:23:48,119 Speaker 1: these little little yelps, these little chirps from a hundred 361 00:23:48,160 --> 00:23:52,399 Speaker 1: and sixty six individual naked mole rats in seven different 362 00:23:52,440 --> 00:23:55,720 Speaker 1: colonies that were raised in labs, probably similar situation to 363 00:23:55,760 --> 00:23:58,360 Speaker 1: those cubbies at the Atlanta Zoo U and these were 364 00:23:58,400 --> 00:24:02,879 Speaker 1: raised in labs in Germany, in South Africa UM and 365 00:24:03,320 --> 00:24:06,400 Speaker 1: once they were able to kind of separate these out 366 00:24:06,440 --> 00:24:10,679 Speaker 1: and identify the different elements of the chirps, things like 367 00:24:10,760 --> 00:24:15,679 Speaker 1: pitch frequency, duration UM, pitch UH, they were able to 368 00:24:15,920 --> 00:24:20,159 Speaker 1: train in an algorithm like using machine learning UH to 369 00:24:21,000 --> 00:24:25,040 Speaker 1: recognize the individuals within the colony and associate them with 370 00:24:25,119 --> 00:24:30,720 Speaker 1: the actual individual molera. But also the features, the various 371 00:24:30,760 --> 00:24:35,720 Speaker 1: cadences of the chirps were super predictive depending on which 372 00:24:35,760 --> 00:24:38,160 Speaker 1: colony the animals belong to, which is a lot like 373 00:24:38,680 --> 00:24:42,520 Speaker 1: the French meal cat and the you know, the Norwegian 374 00:24:42,520 --> 00:24:46,359 Speaker 1: dog bark again not I'm joking, but it's it's there 375 00:24:46,359 --> 00:24:49,880 Speaker 1: could be right, Like I mean, obviously there's some internalization 376 00:24:50,240 --> 00:24:53,960 Speaker 1: going on in with these creatures of their surrounding sonic 377 00:24:54,119 --> 00:24:57,440 Speaker 1: kind of environment, and they're using that to UH to 378 00:24:57,440 --> 00:25:00,600 Speaker 1: to generate a slightly different type of chirp. I first 379 00:25:00,600 --> 00:25:03,520 Speaker 1: heard about this on NPR and they played some audio 380 00:25:03,560 --> 00:25:07,119 Speaker 1: clips of these and you know, to the the naked 381 00:25:07,440 --> 00:25:11,040 Speaker 1: ear of the human we wouldn't be able to tell 382 00:25:11,040 --> 00:25:13,720 Speaker 1: the difference. UM. That's why it requires machine learning, because 383 00:25:13,720 --> 00:25:17,639 Speaker 1: it's literally doing deeper listening UM, honing in on things 384 00:25:18,119 --> 00:25:20,639 Speaker 1: frequencies that either out of our own hearing range or 385 00:25:20,680 --> 00:25:22,520 Speaker 1: just nuances and subtleties that we'd never be able to 386 00:25:22,560 --> 00:25:27,480 Speaker 1: pick up on. UM. In another experiment, the naked mole 387 00:25:27,560 --> 00:25:32,359 Speaker 1: rats UH also were much more responsive when they heard 388 00:25:32,359 --> 00:25:36,480 Speaker 1: recordings of their own dialects UH compared to to others 389 00:25:36,560 --> 00:25:41,040 Speaker 1: from other colonies. So this suggested, according to UM this 390 00:25:41,160 --> 00:25:45,639 Speaker 1: New Scientist article about the study, that UH, this is 391 00:25:46,080 --> 00:25:48,800 Speaker 1: how they communicate with each other in terms of a 392 00:25:48,840 --> 00:25:52,240 Speaker 1: call and response like a belphin situation, although that's more 393 00:25:52,280 --> 00:25:54,320 Speaker 1: like echo location, but it still is like you know, 394 00:25:54,400 --> 00:25:57,560 Speaker 1: sound being transmitted and then returned UH. So that's how 395 00:25:57,600 --> 00:26:00,240 Speaker 1: they would kind of communicate and recognize members of their 396 00:26:00,240 --> 00:26:03,240 Speaker 1: own colonies in case they maybe got separated or maybe 397 00:26:03,280 --> 00:26:06,280 Speaker 1: you know, presumably some of these different colonies exist in 398 00:26:06,560 --> 00:26:10,280 Speaker 1: somewhat close proximity to one another. UM. The animals also 399 00:26:10,560 --> 00:26:15,520 Speaker 1: were quick to respond to these manufactured chirp sounds UH 400 00:26:15,800 --> 00:26:19,680 Speaker 1: that shared the most features with the dialect that they 401 00:26:19,760 --> 00:26:23,240 Speaker 1: were used to UM, but still distinct from other members 402 00:26:23,320 --> 00:26:25,080 Speaker 1: of the community's called, so they were able to kind 403 00:26:25,080 --> 00:26:29,560 Speaker 1: of like manufacture, you know, from whole ai cloth new 404 00:26:29,640 --> 00:26:32,560 Speaker 1: chirps that just took into account a few of those 405 00:26:32,560 --> 00:26:36,120 Speaker 1: little parameters, but weren't actually you know, real and they 406 00:26:36,240 --> 00:26:39,639 Speaker 1: are the ones that have the most recognizable features. That's 407 00:26:39,680 --> 00:26:42,879 Speaker 1: the one that they would typically respond to. You gotta wonder, 408 00:26:43,040 --> 00:26:47,280 Speaker 1: you know. It's it's funny because I think, I hope 409 00:26:47,320 --> 00:26:49,879 Speaker 1: that I'm not the only person who's run into this before. 410 00:26:50,280 --> 00:26:52,399 Speaker 1: But have you ever been in a place where people 411 00:26:52,400 --> 00:26:54,720 Speaker 1: don't speak your native language and you try to make 412 00:26:54,760 --> 00:26:57,760 Speaker 1: friends with an animal and then you realize, oh, crap, 413 00:26:57,840 --> 00:27:02,720 Speaker 1: this this dog or raven doesn't speak English at all. 414 00:27:02,920 --> 00:27:06,920 Speaker 1: I'm just I'm just blathering at it. Uh. It's it's 415 00:27:06,960 --> 00:27:11,880 Speaker 1: weird because animals, especially animals of a higher intelligence, can 416 00:27:12,040 --> 00:27:18,359 Speaker 1: recognize parts of human speech. But it is somewhat not 417 00:27:18,520 --> 00:27:21,720 Speaker 1: every animal will have an accent. They have to be 418 00:27:21,840 --> 00:27:25,280 Speaker 1: able to communicate first. And I would be interested to 419 00:27:25,359 --> 00:27:29,880 Speaker 1: know whether there is a correlation between the naked mole 420 00:27:29,960 --> 00:27:34,600 Speaker 1: rats extraordinary lifespan, which is like over thirty almost unheard 421 00:27:34,640 --> 00:27:37,879 Speaker 1: of for rodents. Actually they're the longest living rodents we 422 00:27:37,920 --> 00:27:41,480 Speaker 1: know of. I wonder if having that time to be 423 00:27:41,560 --> 00:27:46,920 Speaker 1: alive allows for the propagation and refinement and growth of 424 00:27:47,000 --> 00:27:51,480 Speaker 1: this regional or colony wide accent. I mean, what do 425 00:27:51,520 --> 00:27:53,120 Speaker 1: you what do you guys think? Yeah, well, I also 426 00:27:53,200 --> 00:27:58,360 Speaker 1: wonder how much the queen scenario plays into it where hugely, 427 00:27:58,560 --> 00:28:01,000 Speaker 1: because there's an amazing detail that left out. Once the 428 00:28:01,080 --> 00:28:06,520 Speaker 1: queen dies, the accents become much more disparate, sort of 429 00:28:06,720 --> 00:28:11,119 Speaker 1: start to become more unique. They're clearly very very beholden 430 00:28:11,160 --> 00:28:14,359 Speaker 1: to that queen and uh in mimicking her exclusively. And 431 00:28:14,359 --> 00:28:17,159 Speaker 1: then I guess you know, the mimicry probably takes you know, 432 00:28:17,280 --> 00:28:19,800 Speaker 1: once it starts, it kind of like spreads. But yeah, 433 00:28:19,840 --> 00:28:22,920 Speaker 1: once the queen dies, all bets are kind of off 434 00:28:23,560 --> 00:28:28,360 Speaker 1: and they're cold blooded. Literally, they're literally cold blooded mammals. Well, 435 00:28:28,440 --> 00:28:31,040 Speaker 1: it makes me wonder about a bit of a chicken 436 00:28:31,160 --> 00:28:34,399 Speaker 1: and egg scenario here, though not really. But when you 437 00:28:34,440 --> 00:28:40,640 Speaker 1: imagine the first brood that a queen outputs, uh when 438 00:28:40,640 --> 00:28:45,720 Speaker 1: when when the first crew arrives from the queen, right 439 00:28:45,800 --> 00:28:50,040 Speaker 1: the first litter um? I imagine that that immediate exposure 440 00:28:50,240 --> 00:28:52,440 Speaker 1: in the sounds of queen is making that's the only 441 00:28:53,040 --> 00:28:56,400 Speaker 1: sound you're you're experiencing that's really one of the only 442 00:28:56,440 --> 00:28:58,560 Speaker 1: senses you're dealing with, the sides of the touch of 443 00:28:58,640 --> 00:29:03,120 Speaker 1: moving around within this colony as the If you imagine 444 00:29:03,120 --> 00:29:06,800 Speaker 1: yourself as one of these naked mole rats and that 445 00:29:07,800 --> 00:29:12,400 Speaker 1: first brood experiences that responds to that same sound that 446 00:29:12,480 --> 00:29:15,200 Speaker 1: you're hearing, you, you know, make it again, mimic it. 447 00:29:15,920 --> 00:29:18,520 Speaker 1: Then the next brood comes and you hear an entire 448 00:29:19,120 --> 00:29:23,040 Speaker 1: colony making that same sound, and the queen, the mother, 449 00:29:23,200 --> 00:29:26,960 Speaker 1: the life giver, he's also making that sound. I'm assuming, 450 00:29:26,960 --> 00:29:30,600 Speaker 1: since they're mammals, there's some kind of feeding that occurs 451 00:29:31,240 --> 00:29:35,480 Speaker 1: directly from the queen from the mother. Um, I'm assuming. 452 00:29:35,720 --> 00:29:38,360 Speaker 1: I don't know that that's true, but whatever, whatever that 453 00:29:38,400 --> 00:29:41,080 Speaker 1: looks like, I do not want to see it. Naked 454 00:29:41,120 --> 00:29:45,880 Speaker 1: mole rats are basically living out that formally banned X 455 00:29:45,920 --> 00:29:49,320 Speaker 1: Files episode Home. You don't have to go into detail, 456 00:29:49,400 --> 00:29:51,000 Speaker 1: but you guys know what I'm talking about. And they 457 00:29:51,000 --> 00:29:53,520 Speaker 1: also learn a lot like that weird seward dweller with 458 00:29:53,560 --> 00:29:57,080 Speaker 1: the suction mouth guy, and they kind of look like, yeah, 459 00:29:57,720 --> 00:30:01,600 Speaker 1: it's it's it's fascinating because you know, like you said earlier, 460 00:30:01,720 --> 00:30:09,760 Speaker 1: nol uh, this amazing distinct creature holds such potential for 461 00:30:10,000 --> 00:30:14,600 Speaker 1: human beings for all other mammals, imagine being able to 462 00:30:15,680 --> 00:30:17,840 Speaker 1: like It's a tradeoff, right, I think we called it 463 00:30:17,880 --> 00:30:21,479 Speaker 1: a monkey pause situation, either before we rolled or some 464 00:30:21,520 --> 00:30:24,840 Speaker 1: time earlier. It's a trade off. Would you would you 465 00:30:25,240 --> 00:30:30,640 Speaker 1: live looking like a human version of a naked mole rat? Uh? 466 00:30:30,920 --> 00:30:33,920 Speaker 1: Knowing that you would be essentially immune to cancer, you 467 00:30:33,960 --> 00:30:38,040 Speaker 1: would not suffer pain from inflammation, um, and you would 468 00:30:38,040 --> 00:30:40,280 Speaker 1: live a very long time? Would you do that? Would 469 00:30:40,280 --> 00:30:45,400 Speaker 1: you rather be alive for like more than a century 470 00:30:45,560 --> 00:30:50,440 Speaker 1: and ugli at sin no judgment, blind and deaf, living 471 00:30:50,480 --> 00:30:54,040 Speaker 1: in darkness? I think that's another I don't know, that's 472 00:30:54,080 --> 00:30:57,440 Speaker 1: just me. Or would you rather be a naked mole 473 00:30:57,520 --> 00:31:02,920 Speaker 1: rat sized human that lives in a colony with the 474 00:31:03,000 --> 00:31:07,560 Speaker 1: queen and you can only make really one utterance? Uh? 475 00:31:07,800 --> 00:31:10,600 Speaker 1: That is a mimicry of of the queen? What does 476 00:31:10,640 --> 00:31:13,640 Speaker 1: it sounds like? It's kind of a chirp. Why don't 477 00:31:13,640 --> 00:31:20,000 Speaker 1: we hear one? Okay? What rough chirp slouches toward Bethlehem 478 00:31:20,000 --> 00:31:23,320 Speaker 1: to be born. That's that's the opposite of intimidity. I 479 00:31:23,360 --> 00:31:26,240 Speaker 1: think that's the thing. It's it's it's a cute kind 480 00:31:26,280 --> 00:31:29,480 Speaker 1: of mouse like little squeak and then you see what 481 00:31:29,600 --> 00:31:32,640 Speaker 1: that's coming from. And uh, doc mentioned before we got 482 00:31:32,680 --> 00:31:36,680 Speaker 1: going to uh the same as me. Honestly, my first 483 00:31:36,720 --> 00:31:40,200 Speaker 1: exposure to these things was in the Fallout series of 484 00:31:40,280 --> 00:31:43,400 Speaker 1: video games. But in that series they're like the size 485 00:31:43,400 --> 00:31:47,080 Speaker 1: of a large dog, but they otherwise look exactly the 486 00:31:47,160 --> 00:31:49,560 Speaker 1: same because there was nothing these video game designers could 487 00:31:49,560 --> 00:31:52,000 Speaker 1: have added to make them look more like a post 488 00:31:52,000 --> 00:31:57,000 Speaker 1: apocalyptic or terrifying um but yeah, no, thank you, Okay, 489 00:31:57,040 --> 00:31:59,920 Speaker 1: I got another before. You know what's scarier. One giant 490 00:32:00,080 --> 00:32:02,680 Speaker 1: mole rat like that size is coming at you, or 491 00:32:03,360 --> 00:32:07,920 Speaker 1: a thousand little tiny mole rats just slowly crawling towards you. 492 00:32:09,280 --> 00:32:12,000 Speaker 1: I know you didn't ask me, but definitely I think 493 00:32:12,000 --> 00:32:15,360 Speaker 1: a thousand You can run from one, you can dodge one, 494 00:32:16,440 --> 00:32:19,560 Speaker 1: you know, if it's like a sentient kind of just 495 00:32:19,720 --> 00:32:23,880 Speaker 1: like moving tide of mole rats like those little baby 496 00:32:23,920 --> 00:32:29,760 Speaker 1: dinosaurs in Jurassic Park three, the little leaper ones. Yeah, 497 00:32:29,880 --> 00:32:32,400 Speaker 1: they look real cute, but then they like swarm all 498 00:32:32,400 --> 00:32:34,959 Speaker 1: over you and pick your pick the meat off your 499 00:32:34,960 --> 00:32:37,720 Speaker 1: bones while you're still alive. Do you think these guys 500 00:32:37,720 --> 00:32:40,080 Speaker 1: would what do you think they would do guys, if 501 00:32:40,120 --> 00:32:42,080 Speaker 1: they were to swarm you, do you think they have 502 00:32:42,120 --> 00:32:46,280 Speaker 1: a taste for human flesh. No, they're herbivorous and and 503 00:32:46,400 --> 00:32:52,240 Speaker 1: poop eaters. What if well, then you know it's like 504 00:32:52,360 --> 00:32:56,560 Speaker 1: my one of my old instructors used to say, what's 505 00:32:56,600 --> 00:32:59,000 Speaker 1: the first thing you do if you wake up in 506 00:32:59,040 --> 00:33:02,000 Speaker 1: the middle of the woods, in the middle of nowhere. Uh, 507 00:33:02,080 --> 00:33:04,840 Speaker 1: the first thing you do is ask yourself how you've 508 00:33:04,840 --> 00:33:07,120 Speaker 1: got in that situation. You know what I mean? If 509 00:33:07,120 --> 00:33:08,800 Speaker 1: the if the three of us are covered in poop, 510 00:33:09,040 --> 00:33:12,200 Speaker 1: there's a swarm of like a tidal wave of naked 511 00:33:12,240 --> 00:33:15,560 Speaker 1: mole rats rolling towards us, that's the moment I think 512 00:33:15,600 --> 00:33:18,600 Speaker 1: where the video pauses and you hear the v O 513 00:33:18,760 --> 00:33:23,240 Speaker 1: saying you're probably wondering how we got here. Also might 514 00:33:23,280 --> 00:33:27,640 Speaker 1: be time to reassess some life decisions at that point. Uh, yeah, no, 515 00:33:27,720 --> 00:33:30,800 Speaker 1: I agree, You're right. It is the quintessential Walter White 516 00:33:30,880 --> 00:33:33,720 Speaker 1: with no pants on, pointing a gun in the direction 517 00:33:33,880 --> 00:33:37,960 Speaker 1: of blaring police sirens coming towards him on. Much more 518 00:33:38,040 --> 00:33:42,480 Speaker 1: terrifying and poop covered. Yeah. By the way, sorry, I 519 00:33:43,400 --> 00:33:46,320 Speaker 1: we we dropped a line about tiny little dinosaurs and 520 00:33:46,520 --> 00:33:50,000 Speaker 1: my mouth uttered. Cela cants. What I meant to say. 521 00:33:50,160 --> 00:33:56,840 Speaker 1: What I meant to say with was Compsignathan that everybody 522 00:33:58,080 --> 00:34:04,320 Speaker 1: can old this is amazing, okay, HeLa cat is a 523 00:34:04,520 --> 00:34:08,239 Speaker 1: very very um I know, I'm I like, I don't 524 00:34:08,320 --> 00:34:10,840 Speaker 1: understand a lot of social signals. I don't understand what 525 00:34:10,840 --> 00:34:14,960 Speaker 1: it is or isn't cute. But Ceili cats are generally 526 00:34:15,000 --> 00:34:19,560 Speaker 1: considered ugly trash fish. They are, however, an example of 527 00:34:19,560 --> 00:34:24,680 Speaker 1: a cryptid that was this redis rediscovered not too long ago. 528 00:34:25,080 --> 00:34:29,720 Speaker 1: They were thought to be extinct for millions of years 529 00:34:30,080 --> 00:34:36,280 Speaker 1: until some Europeans in on the African continent heard stories 530 00:34:37,040 --> 00:34:40,399 Speaker 1: about what sounded to them like this extinct fish. And 531 00:34:40,480 --> 00:34:43,920 Speaker 1: the locals said, no, you guys didn't discover anything. We 532 00:34:44,000 --> 00:34:46,920 Speaker 1: told you this fish is everywhere. It's it's a trash fish. 533 00:34:47,160 --> 00:34:49,040 Speaker 1: No one likes it. And they were like, we have 534 00:34:49,280 --> 00:34:53,959 Speaker 1: rediscovered so anyway, it's a real cryptic is the point. 535 00:34:54,200 --> 00:34:57,240 Speaker 1: So I think, exactly we talked about our cryptic episode, 536 00:34:57,280 --> 00:34:59,680 Speaker 1: and I think this is the one that has a 537 00:34:59,719 --> 00:35:01,680 Speaker 1: fun are you looking fin on the bottom that it 538 00:35:01,760 --> 00:35:05,120 Speaker 1: looks like it might be ready to become a leg 539 00:35:05,160 --> 00:35:08,320 Speaker 1: of some sort in the near evolutionary future, although it 540 00:35:08,400 --> 00:35:12,200 Speaker 1: never really made it. Um, it's okay, don't give up yet, 541 00:35:12,880 --> 00:35:16,040 Speaker 1: you know, go seelik and you know what, then go 542 00:35:16,360 --> 00:35:18,840 Speaker 1: naked mole rats. You don't want one is a pet. 543 00:35:19,239 --> 00:35:21,359 Speaker 1: I don't think you can get just one. They're very 544 00:35:21,440 --> 00:35:25,440 Speaker 1: much the pringles of mammals. Uh like sugar gliders. Right, 545 00:35:25,480 --> 00:35:28,080 Speaker 1: they have to come in pairs at least. But I'm 546 00:35:28,160 --> 00:35:30,600 Speaker 1: glad they're here. I hope that I hope we get 547 00:35:30,680 --> 00:35:33,439 Speaker 1: something for this species from the research. And I hope 548 00:35:33,480 --> 00:35:40,719 Speaker 1: that these uh, I hope these not particularly beautiful animals 549 00:35:41,160 --> 00:35:44,680 Speaker 1: live a long long time. I don't want them to 550 00:35:44,760 --> 00:35:47,440 Speaker 1: expand I think they're good where they are great, that 551 00:35:47,520 --> 00:35:51,640 Speaker 1: makes sense. Can you imagine if they took the place 552 00:35:51,640 --> 00:35:55,200 Speaker 1: of just your common household, you know, mouse, that'd be 553 00:35:55,239 --> 00:35:57,200 Speaker 1: a much scarier situation if you saw one of those 554 00:35:57,200 --> 00:36:05,640 Speaker 1: crawling out of your walls. Going Okay, I've had about 555 00:36:05,719 --> 00:36:07,160 Speaker 1: enough of this. Let's take a quick break and then'll 556 00:36:07,160 --> 00:36:15,960 Speaker 1: be back with more strange news. Hello, welcome back to 557 00:36:16,000 --> 00:36:19,360 Speaker 1: the show. And we've reached the point in our episode 558 00:36:19,400 --> 00:36:21,440 Speaker 1: where we're going to give you nightmares if you have 559 00:36:21,560 --> 00:36:24,600 Speaker 1: a significant other, especially if you sleep next to one 560 00:36:25,080 --> 00:36:31,520 Speaker 1: on a nightly basis. Here we go. Well, I mean, 561 00:36:31,640 --> 00:36:34,600 Speaker 1: see if you can do some kind of overlay with 562 00:36:34,640 --> 00:36:38,400 Speaker 1: the two stories and really really just jump start your 563 00:36:38,560 --> 00:36:43,560 Speaker 1: your night sweats. Okay, cool? So, Uh, pulling from a 564 00:36:43,600 --> 00:36:46,840 Speaker 1: New York Times article that was released on February five. 565 00:36:47,080 --> 00:36:51,240 Speaker 1: It is an update to an ongoing story, and here's 566 00:36:51,280 --> 00:36:55,400 Speaker 1: the headline, NYPD officer accused in plot to kill husband 567 00:36:55,840 --> 00:37:00,200 Speaker 1: will plead guilty. Kind of spoiling the ending here a 568 00:37:00,200 --> 00:37:03,240 Speaker 1: little bit. It's not quite the ending. But the reason 569 00:37:03,280 --> 00:37:06,120 Speaker 1: why we're even talking about it is because that that 570 00:37:06,200 --> 00:37:09,880 Speaker 1: piece of news came out very recently. But the full 571 00:37:09,920 --> 00:37:11,759 Speaker 1: story and the thing that I really want to talk 572 00:37:11,800 --> 00:37:15,560 Speaker 1: about today goes back way and I think twenty nineteen. 573 00:37:16,239 --> 00:37:21,120 Speaker 1: So we're gonna jump back from that headline to tell 574 00:37:21,160 --> 00:37:25,600 Speaker 1: you the story about this police officer who had some 575 00:37:25,640 --> 00:37:29,600 Speaker 1: weird stuff go on in her life and uh, it 576 00:37:29,680 --> 00:37:33,560 Speaker 1: all started playing out in the news. Let's begin here. 577 00:37:34,120 --> 00:37:37,719 Speaker 1: So there's a husband and a wife. Okay, if you're 578 00:37:37,719 --> 00:37:41,040 Speaker 1: watching the video, I'm giving you some helpful visuals here. Uh. 579 00:37:41,239 --> 00:37:45,839 Speaker 1: The husband and wife have a child and they are 580 00:37:45,920 --> 00:37:49,879 Speaker 1: going through a divorce. Pretty messy, dealing a lot with 581 00:37:50,320 --> 00:37:53,560 Speaker 1: you know, who gets who gets to have custody of 582 00:37:53,600 --> 00:37:58,279 Speaker 1: this child. And I don't know the full story of 583 00:37:58,600 --> 00:38:01,800 Speaker 1: the ex husband and at his you know, situation is 584 00:38:01,840 --> 00:38:04,759 Speaker 1: as far as relationship goes. But we do know and 585 00:38:04,800 --> 00:38:08,799 Speaker 1: can confirm through reporting and through an investigation that the 586 00:38:08,840 --> 00:38:14,160 Speaker 1: ex wife had a boyfriend and the boyfriend it was 587 00:38:14,200 --> 00:38:17,160 Speaker 1: then on and off again the situation. And he had 588 00:38:17,200 --> 00:38:20,960 Speaker 1: a bit of a criminal past that where he had 589 00:38:20,960 --> 00:38:24,200 Speaker 1: been to court several times and accused of many a thing. 590 00:38:24,719 --> 00:38:28,319 Speaker 1: He was known. This guy was known to hang out 591 00:38:28,400 --> 00:38:31,080 Speaker 1: with a couple of people from the Sopranos, like the 592 00:38:31,080 --> 00:38:39,160 Speaker 1: actual Sopranos cast. Yeah. Sure, And I'm getting a lot 593 00:38:39,160 --> 00:38:44,680 Speaker 1: of this information about him. The boyfriend, his name's John Daruba, 594 00:38:45,080 --> 00:38:47,560 Speaker 1: getting it from the New York Post, not the best place, 595 00:38:47,640 --> 00:38:51,239 Speaker 1: But nobody's really talking about him much in the investigation 596 00:38:51,280 --> 00:38:55,719 Speaker 1: of reporting. Oh you know, John, you know he's doing 597 00:38:55,760 --> 00:38:59,640 Speaker 1: all right. He's allegedly connected to the Gaudy People, at 598 00:38:59,680 --> 00:39:03,680 Speaker 1: least a according to him, and the Gambino crime family. 599 00:39:04,200 --> 00:39:06,880 Speaker 1: So so the cast of I'm sorry, I'm on the Sopranos, 600 00:39:06,560 --> 00:39:10,520 Speaker 1: and the cast of the Sopranos hanging out with a 601 00:39:10,680 --> 00:39:14,040 Speaker 1: dude who's aligned with the Gatti family and isn't because 602 00:39:14,080 --> 00:39:15,759 Speaker 1: this can't be a coincidence, and they're doing it just 603 00:39:15,800 --> 00:39:18,640 Speaker 1: to get like, clue, this is way after the end 604 00:39:18,640 --> 00:39:22,359 Speaker 1: of the show. What's going on here? Allegedly this this 605 00:39:22,440 --> 00:39:24,520 Speaker 1: is all. This is all just to paint the picture 606 00:39:24,520 --> 00:39:27,840 Speaker 1: of this other person with whom the police officer was involved. 607 00:39:28,080 --> 00:39:32,279 Speaker 1: Ok Um, just some weird thing. Not nobody knows. I 608 00:39:32,320 --> 00:39:36,560 Speaker 1: don't know how that involvement occurred, what to what extent 609 00:39:36,640 --> 00:39:40,320 Speaker 1: it was, but we know that at some point, because 610 00:39:40,560 --> 00:39:44,200 Speaker 1: of likely at least the custody battle. We do know 611 00:39:44,280 --> 00:39:49,160 Speaker 1: that this police officer, her name is Valerie Cincinnelli, and 612 00:39:49,280 --> 00:39:51,799 Speaker 1: of course she is accused of these crimes. She is 613 00:39:51,840 --> 00:39:55,160 Speaker 1: not uh fully gone to trial. She is again as 614 00:39:55,160 --> 00:39:58,080 Speaker 1: we said at the top, going to plead guilty. At 615 00:39:58,120 --> 00:40:02,000 Speaker 1: least according to her attorney. She's accused of hiring a 616 00:40:02,080 --> 00:40:06,719 Speaker 1: hitman or at least talking to her boyfriend, that guy 617 00:40:07,040 --> 00:40:11,480 Speaker 1: John Dr Rubio Darrubo, about hiring a hit man to 618 00:40:11,680 --> 00:40:17,479 Speaker 1: kill the ex husband. And we know this because this guy, 619 00:40:17,520 --> 00:40:20,800 Speaker 1: who is a leisued lee connected to some crime family, 620 00:40:21,160 --> 00:40:23,960 Speaker 1: who is the boyfriend of this police officer, flipped on 621 00:40:24,000 --> 00:40:31,560 Speaker 1: her and started recording conversations and and then told her 622 00:40:31,640 --> 00:40:34,040 Speaker 1: that yeah, I know somebody who can who could do 623 00:40:34,080 --> 00:40:39,680 Speaker 1: this for you. It'll take seven thousand dollars. Then somehow, 624 00:40:39,719 --> 00:40:42,080 Speaker 1: and this is really confusing to meet in the reporting 625 00:40:42,840 --> 00:40:46,640 Speaker 1: does not clear this up. Somehow it was going to 626 00:40:46,680 --> 00:40:49,280 Speaker 1: be seven thousand dollars to kill both her ex husband 627 00:40:49,520 --> 00:40:55,080 Speaker 1: and this boyfriend's teenage daughter. So the guy who's arranging 628 00:40:55,080 --> 00:40:58,359 Speaker 1: it his teenage daughter, I don't understand it. Good luck 629 00:40:58,360 --> 00:41:00,640 Speaker 1: to you as you read some pieces in your Times 630 00:41:00,840 --> 00:41:03,600 Speaker 1: and CBS and all over the place. It's confusing. It 631 00:41:03,600 --> 00:41:07,920 Speaker 1: doesn't make sense. Seven grand for two, I mean again again, sorry, 632 00:41:08,080 --> 00:41:10,440 Speaker 1: sorry not to get hung up. But in in the 633 00:41:10,560 --> 00:41:13,719 Speaker 1: nineties on the Sopranos, you'd get ten grand for one. 634 00:41:15,120 --> 00:41:18,800 Speaker 1: It depends on the person really too. That's how are 635 00:41:18,880 --> 00:41:23,239 Speaker 1: they to get to Also, if they are if they're 636 00:41:23,320 --> 00:41:27,640 Speaker 1: running an op on this person, then they want to 637 00:41:27,760 --> 00:41:31,600 Speaker 1: have they want to have a price point that incentivizes 638 00:41:32,120 --> 00:41:34,640 Speaker 1: them to agree to it, right, you know. And and 639 00:41:34,719 --> 00:41:38,080 Speaker 1: oftentimes they want someone that's unconnected, uh, They that they 640 00:41:38,080 --> 00:41:41,000 Speaker 1: wouldn't recognize somebody from a different part of town or 641 00:41:41,160 --> 00:41:44,200 Speaker 1: different stadium, and you know, so there's all kinds of calculations. 642 00:41:44,320 --> 00:41:52,360 Speaker 1: It's transport catering. You know, yeah, yeah, so Matt astute 643 00:41:52,440 --> 00:41:58,440 Speaker 1: listeners noticed surely that you said, uh, this, MYPD officer 644 00:41:59,120 --> 00:42:05,359 Speaker 1: will please uh guilty. But here's the question, what is 645 00:42:05,440 --> 00:42:10,520 Speaker 1: this officer pleading guilty to? We we do not know that. 646 00:42:10,520 --> 00:42:12,960 Speaker 1: That's why it's not really news. It's just this is 647 00:42:13,040 --> 00:42:16,200 Speaker 1: an excuse to talk about this story, which is utterly 648 00:42:16,239 --> 00:42:18,759 Speaker 1: fascinating to be and terrifying to me for a lot 649 00:42:18,760 --> 00:42:20,680 Speaker 1: of reasons. I gotta give you a couple more details though, 650 00:42:20,719 --> 00:42:22,959 Speaker 1: before you we jump into that. We don't we don't 651 00:42:23,000 --> 00:42:26,000 Speaker 1: know what she's pleading guilty too, because she's she's being 652 00:42:26,000 --> 00:42:30,280 Speaker 1: accused of several things to federal murder for higher charges 653 00:42:30,600 --> 00:42:34,040 Speaker 1: two counts of obstruction of justice um and she had 654 00:42:34,080 --> 00:42:37,640 Speaker 1: previously pled not guilty to to all of these charges. 655 00:42:38,360 --> 00:42:42,000 Speaker 1: So that seventh grand, the alleged seven grand that was 656 00:42:42,040 --> 00:42:45,359 Speaker 1: going to be paid, we know that this officer took 657 00:42:45,400 --> 00:42:48,400 Speaker 1: that money out of an account and gave it to 658 00:42:48,520 --> 00:42:53,880 Speaker 1: the boyfriend. The boyfriend procured a little of over six thousand, 659 00:42:54,000 --> 00:42:58,160 Speaker 1: nine hundred something dollars in gold coins with that cash, 660 00:42:58,440 --> 00:43:00,640 Speaker 1: because allegedly, according to him him, that's the only way 661 00:43:00,680 --> 00:43:03,800 Speaker 1: the hit man would be paid the currency the the 662 00:43:03,880 --> 00:43:07,560 Speaker 1: old guy took whoever it was gonna be UM, and 663 00:43:07,600 --> 00:43:12,520 Speaker 1: then this guy flipped was recording conversations the FBI and 664 00:43:12,840 --> 00:43:18,200 Speaker 1: local police there. They actually approached the ex husband and 665 00:43:18,239 --> 00:43:21,720 Speaker 1: they said, like, imagine this. Imagine someone coming to your door. 666 00:43:22,480 --> 00:43:26,439 Speaker 1: Whether whether you're a husband or a wife, you're a girlfriend, boyfriend, whatever, 667 00:43:26,520 --> 00:43:30,040 Speaker 1: it doesn't matter. Imagine the FBI showing up your door 668 00:43:30,040 --> 00:43:32,200 Speaker 1: and saying, hey, you're significant other has put a hit 669 00:43:32,239 --> 00:43:35,200 Speaker 1: out on you, UM, and this person has been planning 670 00:43:35,440 --> 00:43:38,760 Speaker 1: to kill you all winter. And we've actually been recording 671 00:43:38,760 --> 00:43:42,280 Speaker 1: conversations and working with the person that she was trying 672 00:43:42,280 --> 00:43:45,759 Speaker 1: to contract. We have an FBI officer now who is 673 00:43:46,040 --> 00:43:49,440 Speaker 1: acting and communicating with her as the hit man. What 674 00:43:49,560 --> 00:43:51,600 Speaker 1: we need to do now is take you down to 675 00:43:51,719 --> 00:43:54,719 Speaker 1: this undisclosed location. We're gonna put you in the car. 676 00:43:55,040 --> 00:43:57,719 Speaker 1: We're gonna put a bunch of glass around you and 677 00:43:57,800 --> 00:43:59,839 Speaker 1: some fake blood and make it look like you've been 678 00:44:00,040 --> 00:44:02,200 Speaker 1: killed and that the hitman took a picture of you. 679 00:44:02,920 --> 00:44:06,640 Speaker 1: We're gonna send that picture to your ex wife and 680 00:44:07,239 --> 00:44:11,279 Speaker 1: like through this hitman's phone number, and then convince her 681 00:44:11,640 --> 00:44:15,920 Speaker 1: that you're dead in order to get her to communicate 682 00:44:15,960 --> 00:44:19,600 Speaker 1: with her boyfriend and try and cover her tracks, so 683 00:44:19,640 --> 00:44:22,840 Speaker 1: we can prove that she knew this was happening, that 684 00:44:22,920 --> 00:44:24,960 Speaker 1: she was planning to do this, and she's the one 685 00:44:25,000 --> 00:44:28,600 Speaker 1: who set it up, and that's exactly what they did. Like, 686 00:44:29,040 --> 00:44:34,440 Speaker 1: imagine that scenario. So you say, this will terrify people 687 00:44:34,640 --> 00:44:38,800 Speaker 1: with a significant other that they next to. Often. However, 688 00:44:38,840 --> 00:44:43,279 Speaker 1: from what I understand, the X and Cincinneli were in 689 00:44:43,320 --> 00:44:46,920 Speaker 1: the middle of quite an acrimonious divorce. Right, this is true. 690 00:44:47,040 --> 00:44:49,719 Speaker 1: This is true. I think what it mostly speaks to, 691 00:44:50,000 --> 00:44:51,719 Speaker 1: at least in a lot of the reporting and the 692 00:44:51,840 --> 00:44:56,160 Speaker 1: ensuing investigation, was that, uh, this person, Valerie was seen 693 00:44:56,280 --> 00:44:59,960 Speaker 1: as such a good upstandings person, an amazing police off. 694 00:45:00,080 --> 00:45:03,160 Speaker 1: Was her a kind person to children, she worked directly 695 00:45:03,200 --> 00:45:06,520 Speaker 1: with children. She you know, she was just viewed as 696 00:45:07,480 --> 00:45:11,680 Speaker 1: a paragon really, and then she also had this dark 697 00:45:11,719 --> 00:45:14,840 Speaker 1: side within her to do something like this. Now, we 698 00:45:14,920 --> 00:45:18,400 Speaker 1: don't know all the circumstances in their relationship, right, we 699 00:45:18,480 --> 00:45:22,840 Speaker 1: don't know what kind of beef there was between them. 700 00:45:22,920 --> 00:45:25,560 Speaker 1: We there's so many unanswered questions here, and we have 701 00:45:25,680 --> 00:45:31,120 Speaker 1: to remind everyone that Valerie Cincinnelli is still not guilty 702 00:45:31,280 --> 00:45:35,080 Speaker 1: until she you know until whatever occurs within the court system. 703 00:45:35,719 --> 00:45:40,040 Speaker 1: Um so, even though she is allegedly pleading guilty according 704 00:45:40,080 --> 00:45:45,240 Speaker 1: to her her attorneys, yeah to something, who knows? And 705 00:45:45,360 --> 00:45:48,719 Speaker 1: we know that since the boyfriend that we mentioned up 706 00:45:48,760 --> 00:45:51,799 Speaker 1: top there that may have those mob ties was a 707 00:45:51,840 --> 00:45:55,920 Speaker 1: bit of an unscrupulous character. Who knows what really happened 708 00:45:56,480 --> 00:45:59,560 Speaker 1: and what kind of you know, right? I mean the 709 00:45:59,640 --> 00:46:03,040 Speaker 1: guy the guys working directly with the FBI. I don't know. 710 00:46:03,520 --> 00:46:06,200 Speaker 1: He was in court not long ago because he allegedly 711 00:46:06,280 --> 00:46:09,640 Speaker 1: was in a vehicle with somebody and this person had 712 00:46:09,680 --> 00:46:14,719 Speaker 1: a large diamond ring. And according to the transcripts or 713 00:46:14,719 --> 00:46:18,920 Speaker 1: at least the reporting that came from that trial, uh, 714 00:46:19,040 --> 00:46:22,120 Speaker 1: the boyfriend made mention of the weapon, the gun that 715 00:46:22,160 --> 00:46:25,239 Speaker 1: he had on him and about how oh no, the 716 00:46:25,239 --> 00:46:28,080 Speaker 1: gaudy family will we'll we'll pay you tomorrow, We'll pay 717 00:46:28,080 --> 00:46:29,759 Speaker 1: you tomorrow. Get you got to get out of the car. 718 00:46:29,800 --> 00:46:31,600 Speaker 1: I have a gun, Get out of the car, leave 719 00:46:31,640 --> 00:46:34,600 Speaker 1: the leave the diamonds, and then just left and then 720 00:46:34,600 --> 00:46:37,279 Speaker 1: just left and that was it. At least that's what's 721 00:46:37,400 --> 00:46:41,439 Speaker 1: what he's accused of doing. Um, I don't know. Can 722 00:46:41,480 --> 00:46:44,279 Speaker 1: I can I give us a quote? I'd love to 723 00:46:44,320 --> 00:46:49,160 Speaker 1: share a quote from this this man. Uh, and so 724 00:46:49,239 --> 00:46:56,320 Speaker 1: Cincinnally was arrested in I believe Cork. So the news 725 00:46:56,360 --> 00:46:59,680 Speaker 1: that we have is that she is pleading guilty. So 726 00:47:00,920 --> 00:47:06,680 Speaker 1: this guy says about his on off again paramore, you know, 727 00:47:06,840 --> 00:47:08,680 Speaker 1: you think you were in love with someone, but it's 728 00:47:08,680 --> 00:47:11,600 Speaker 1: not what you think. You try so hard to overlook stuff, 729 00:47:11,680 --> 00:47:18,640 Speaker 1: but you just can't. That's that's his statement to the media. Um, 730 00:47:18,680 --> 00:47:21,680 Speaker 1: I think there's something fishy here, Matt, No, I think 731 00:47:22,120 --> 00:47:26,280 Speaker 1: I think a bargain was struck. Well. Yeah, the valerie's 732 00:47:26,680 --> 00:47:29,480 Speaker 1: attorney has made several statements that you can you can 733 00:47:29,520 --> 00:47:32,880 Speaker 1: watch right now in videos, uh, statements outside of a courthouse, 734 00:47:33,000 --> 00:47:36,360 Speaker 1: you know, following or proceeding hearings, where he has stated 735 00:47:36,440 --> 00:47:40,879 Speaker 1: he stated that the character of this boyfriend is going 736 00:47:40,920 --> 00:47:43,520 Speaker 1: to be the largest thing in question and the biggest 737 00:47:43,520 --> 00:47:47,200 Speaker 1: thing that's explored within the trial itself or if you know, 738 00:47:47,360 --> 00:47:50,440 Speaker 1: if it is in fact a full trial. Um hm, 739 00:47:51,160 --> 00:47:54,319 Speaker 1: I don't know. I'm fascinated by this stuff. Or just 740 00:47:54,360 --> 00:47:56,239 Speaker 1: what what do you what do you think? No, what 741 00:47:56,280 --> 00:47:58,920 Speaker 1: do you think, Ben? What do we do with something 742 00:47:58,960 --> 00:48:05,200 Speaker 1: like this? When you just don't know? Man? Like it's 743 00:48:05,239 --> 00:48:07,000 Speaker 1: like an incomplete it seems this the story is not 744 00:48:07,120 --> 00:48:11,520 Speaker 1: fully told yet. Yeah. You also you also, first off, 745 00:48:11,680 --> 00:48:16,680 Speaker 1: look at the web of connected entities and individuals. I 746 00:48:16,719 --> 00:48:19,320 Speaker 1: love that you point out we have. I've said it before. 747 00:48:19,360 --> 00:48:22,960 Speaker 1: Every relationship is a foreign country basically, and if you 748 00:48:23,040 --> 00:48:26,279 Speaker 1: are trying to understand two people's relationship, especially if it's 749 00:48:26,280 --> 00:48:29,160 Speaker 1: a romantic one, you are always going to be an outsider. 750 00:48:29,239 --> 00:48:32,840 Speaker 1: So we have no idea what happened that led to 751 00:48:32,880 --> 00:48:36,360 Speaker 1: this this very messed up divorce, and that led to 752 00:48:36,440 --> 00:48:42,279 Speaker 1: this attempted assassination. Second thing, Lake City, quiet pills for 753 00:48:42,360 --> 00:48:44,759 Speaker 1: the prose, you know what I mean. Don't take your 754 00:48:44,760 --> 00:48:50,080 Speaker 1: phone with you, don't. Don't. I'm not condoning this at all. 755 00:48:50,120 --> 00:48:54,759 Speaker 1: I'm just saying that if it's such a cliche, right, 756 00:48:54,760 --> 00:48:57,040 Speaker 1: if it appears to be too good to be true, 757 00:48:57,080 --> 00:49:00,440 Speaker 1: than it probably is. If you are ever, for some reason, 758 00:49:00,520 --> 00:49:04,920 Speaker 1: God forbid, in a situation where you're like, wow, just 759 00:49:05,040 --> 00:49:09,000 Speaker 1: seven thousand to kill somebody. That's a that's a that's 760 00:49:09,280 --> 00:49:12,439 Speaker 1: actually kind of a great deal, then that probably means 761 00:49:12,480 --> 00:49:15,120 Speaker 1: you're being set up, you know what I mean? Like that, 762 00:49:15,880 --> 00:49:22,239 Speaker 1: I think the days of ordering um ordering professional operations 763 00:49:22,239 --> 00:49:25,600 Speaker 1: through things like Soldier of Fortune magazine are long going. 764 00:49:25,880 --> 00:49:29,040 Speaker 1: We are in a surveillance state. Uh not for nothing. 765 00:49:29,120 --> 00:49:32,360 Speaker 1: Did that hit man want to have payment in gold? 766 00:49:32,520 --> 00:49:35,960 Speaker 1: But also how much gain trust the FBI. They straight 767 00:49:36,040 --> 00:49:39,080 Speaker 1: up manufactured some terrorists not too long ago. And we 768 00:49:39,120 --> 00:49:46,239 Speaker 1: we know this Stroven Yeah, uh yeah, Okay, Well, I 769 00:49:46,280 --> 00:49:49,240 Speaker 1: hope the kids are okay because she she has two 770 00:49:49,440 --> 00:49:56,000 Speaker 1: children outside of that relationship. And yeah, they do have 771 00:49:56,160 --> 00:49:58,640 Speaker 1: a child together, so hopefully that kid makes it out 772 00:49:58,680 --> 00:50:01,560 Speaker 1: all right, no matter what happens here. All right, Well, 773 00:50:01,600 --> 00:50:05,120 Speaker 1: I think that's all for this one, guys, strange news 774 00:50:05,160 --> 00:50:09,280 Speaker 1: indeed to the tune of Strange Days. Indeed, for anybody 775 00:50:09,520 --> 00:50:14,439 Speaker 1: singing along at home. Uh, this is our show. We 776 00:50:14,719 --> 00:50:19,759 Speaker 1: hope this show finds you healthy uh and doing well. Uh. 777 00:50:19,960 --> 00:50:23,560 Speaker 1: We'd love to hear from you, folks. What what do 778 00:50:23,600 --> 00:50:26,279 Speaker 1: you think are some common mistakes people make when they 779 00:50:26,320 --> 00:50:30,680 Speaker 1: are trying to hire an assassin. We did also, by 780 00:50:30,719 --> 00:50:34,719 Speaker 1: the way, we did have as some some people in 781 00:50:34,800 --> 00:50:38,719 Speaker 1: the assassination or targeted killing community reach out to us 782 00:50:39,800 --> 00:50:43,359 Speaker 1: regarding our history of assassins episode. And we're currently as 783 00:50:43,360 --> 00:50:48,480 Speaker 1: we speak, working out how and if we will talk 784 00:50:48,520 --> 00:50:51,640 Speaker 1: to them, possibly on air, So no promises, but also 785 00:50:51,719 --> 00:50:55,200 Speaker 1: no spoilers. Uh. Would you live forever if it meant 786 00:50:55,239 --> 00:50:57,279 Speaker 1: that you look like a naked mole rat? Would you 787 00:50:57,360 --> 00:51:00,640 Speaker 1: make that trade off? I don't know, don't know. That's 788 00:51:00,680 --> 00:51:03,520 Speaker 1: I'm still on defense because of how they look and 789 00:51:04,560 --> 00:51:09,759 Speaker 1: the poop eating Uh. And then lastly, how easy do 790 00:51:09,800 --> 00:51:12,799 Speaker 1: you think it is to hack infrastructure? And do you 791 00:51:12,840 --> 00:51:15,560 Speaker 1: have any experience with it? Let us know. We try 792 00:51:15,560 --> 00:51:18,000 Speaker 1: to make it easy to find us on the internet. 793 00:51:18,120 --> 00:51:20,600 Speaker 1: It's right. You can reach us on Facebook and Instagram. 794 00:51:20,760 --> 00:51:23,960 Speaker 1: We are Conspiracy Stuff and Conspiracy Stuff Show. You can 795 00:51:23,960 --> 00:51:26,920 Speaker 1: also join our Facebook group Here's where it gets crazy. 796 00:51:27,120 --> 00:51:28,879 Speaker 1: And hey, while you're on the internet, why not drop 797 00:51:28,920 --> 00:51:32,120 Speaker 1: us a review on your podcatcher of choice, preferably to 798 00:51:32,160 --> 00:51:36,200 Speaker 1: help out the show Apple podcasts um because it helps 799 00:51:36,320 --> 00:51:39,400 Speaker 1: us rank and it helps people discover the show, and 800 00:51:39,400 --> 00:51:41,360 Speaker 1: it makes us feel good in our little heart of hearts. 801 00:51:41,680 --> 00:51:43,400 Speaker 1: That is correct. And if you don't want to do 802 00:51:43,440 --> 00:51:45,759 Speaker 1: that stuff, Hey, you still want to say something, you 803 00:51:45,760 --> 00:51:48,399 Speaker 1: want to actually say something, you can give us a call. 804 00:51:48,560 --> 00:51:51,840 Speaker 1: Our number is one eight three three st d w 805 00:51:52,120 --> 00:51:54,680 Speaker 1: y t K. You can leave us a message. We 806 00:51:54,719 --> 00:52:00,000 Speaker 1: would love it if you keep it brief, succinct. Uh. 807 00:52:00,360 --> 00:52:03,120 Speaker 1: And uh Ben has mentioned before if you write down 808 00:52:03,160 --> 00:52:05,600 Speaker 1: a couple of bullet points before you call in, it's 809 00:52:05,640 --> 00:52:07,400 Speaker 1: really great. Just that way, you make sure you hit 810 00:52:07,440 --> 00:52:10,000 Speaker 1: everything and then you can get out of there. That 811 00:52:10,040 --> 00:52:11,719 Speaker 1: makes it easier for us to put it on air 812 00:52:12,080 --> 00:52:13,880 Speaker 1: and for us to get through all the messages. So 813 00:52:13,880 --> 00:52:15,759 Speaker 1: we really do appreciate that. Let us know if you 814 00:52:15,760 --> 00:52:18,120 Speaker 1: don't want us to use your name or your voice 815 00:52:18,200 --> 00:52:23,480 Speaker 1: on the air, please, And if none of that white 816 00:52:23,520 --> 00:52:27,160 Speaker 1: breaks your traffic lights, none of that quite poisons your water. 817 00:52:27,480 --> 00:52:30,080 Speaker 1: There is one other way that you can reach us, 818 00:52:30,480 --> 00:52:34,319 Speaker 1: regardless of the time, the place, or the day. That 819 00:52:34,440 --> 00:52:37,040 Speaker 1: is our good old fashioned email address where we are 820 00:52:37,360 --> 00:52:59,560 Speaker 1: conspiracy at iHeart radio dot com. Stuff they Don't want 821 00:52:59,600 --> 00:53:02,239 Speaker 1: you to know is a production of i heart Radio. 822 00:53:02,280 --> 00:53:04,520 Speaker 1: For more podcasts from my heart Radio, visit the i 823 00:53:04,600 --> 00:53:07,520 Speaker 1: heart Radio app, Apple Podcasts, or wherever you listen to 824 00:53:07,560 --> 00:53:08,360 Speaker 1: your favorite shows.