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 --> 00:00:25,560 Speaker 1: production of I Heart Radio. Hello, welcome back to the show. 5 00:00:25,640 --> 00:00:28,440 Speaker 1: My name is Matt. They called me Ben. We're joined 6 00:00:28,480 --> 00:00:32,280 Speaker 1: as always with our super producer Paul Mission controlled decade. 7 00:00:32,600 --> 00:00:35,919 Speaker 1: Most importantly, you are you. You are here, and that 8 00:00:35,960 --> 00:00:39,120 Speaker 1: makes this the stuff they don't want you to know. 9 00:00:40,000 --> 00:00:42,560 Speaker 1: You know, for a long time now, we've been putting 10 00:00:42,560 --> 00:00:47,120 Speaker 1: out two episodes a week. Back in the day, Matt, 11 00:00:47,200 --> 00:00:51,279 Speaker 1: you and I were putting out a ton of YouTube 12 00:00:51,360 --> 00:00:55,320 Speaker 1: videos every week. Uh, and it was this was back 13 00:00:55,360 --> 00:00:58,080 Speaker 1: when it was one of the only things that you 14 00:00:58,200 --> 00:01:02,880 Speaker 1: and I did. But still we are grateful as always 15 00:01:02,880 --> 00:01:04,760 Speaker 1: for the best part of the show, which is you, 16 00:01:04,880 --> 00:01:08,119 Speaker 1: if you're listening now, our fellow listeners and conspiracy realists. 17 00:01:08,440 --> 00:01:12,080 Speaker 1: And in between these episodes, we like to do a 18 00:01:12,280 --> 00:01:15,840 Speaker 1: listener mail segment every week where we can hear from you, 19 00:01:16,000 --> 00:01:21,720 Speaker 1: we can share your stories with each other. So, um, Matt, 20 00:01:21,959 --> 00:01:26,280 Speaker 1: you and I kind of divide and conquer on these things, 21 00:01:26,440 --> 00:01:30,400 Speaker 1: you know, I will I will have conversations with a 22 00:01:30,440 --> 00:01:33,440 Speaker 1: lot of people on show social media or on my 23 00:01:33,480 --> 00:01:37,400 Speaker 1: own Twitter and Instagram, and you, my friend, credit where 24 00:01:37,400 --> 00:01:39,399 Speaker 1: it's due. You know, it's very important to me at 25 00:01:39,480 --> 00:01:43,480 Speaker 1: least credits where it's due. You run point. I help 26 00:01:43,480 --> 00:01:45,839 Speaker 1: out sometimes I help like the kid in the Shake 27 00:01:45,920 --> 00:01:50,240 Speaker 1: and Bait commercials, But you run points on on our 28 00:01:50,760 --> 00:01:55,800 Speaker 1: voicemail que and uh, we love it. You also call 29 00:01:55,960 --> 00:01:58,720 Speaker 1: people back. We've talked about this on the show before, 30 00:01:58,760 --> 00:02:01,600 Speaker 1: and I want to be clear here with everybody. Our 31 00:02:01,720 --> 00:02:06,960 Speaker 1: voicemail stuff is about I would say nine three percent, 32 00:02:07,080 --> 00:02:10,480 Speaker 1: Matt Frederick, and that is me being very kind to me, 33 00:02:11,840 --> 00:02:15,280 Speaker 1: you know whatever, whatever, I'm just saying thank you in 34 00:02:15,320 --> 00:02:17,320 Speaker 1: my way, I'm trying to say thank you. Well. I 35 00:02:17,520 --> 00:02:20,959 Speaker 1: do it for my own personal reasons because I love 36 00:02:21,360 --> 00:02:24,160 Speaker 1: calling somebody from this number that they don't have in 37 00:02:24,200 --> 00:02:27,480 Speaker 1: their phone, that they generally wouldn't pick up on, and 38 00:02:27,520 --> 00:02:30,600 Speaker 1: then when they do pick up they always have the reaction, 39 00:02:31,919 --> 00:02:37,720 Speaker 1: why are you calling me? And it's glorious And one day, 40 00:02:37,800 --> 00:02:40,520 Speaker 1: you know, one day, once I get past some stuff 41 00:02:40,520 --> 00:02:43,560 Speaker 1: in my personal life, I I may also end up 42 00:02:43,680 --> 00:02:45,920 Speaker 1: calling people. But there have been a few times, Matt, 43 00:02:45,960 --> 00:02:48,560 Speaker 1: where you have you've reached out to me, and you said, Okay, 44 00:02:48,600 --> 00:02:52,800 Speaker 1: we need to talk to this person together, and and yeah, 45 00:02:52,919 --> 00:02:57,760 Speaker 1: and those conversations are always very rewarding. But you know, 46 00:02:57,800 --> 00:03:01,640 Speaker 1: we've been clear from day one that this show doesn't 47 00:03:01,639 --> 00:03:05,560 Speaker 1: exist without you, fellow listeners. All the other stuff aside, 48 00:03:06,240 --> 00:03:08,800 Speaker 1: This is your show as much as it is ours, 49 00:03:08,880 --> 00:03:12,680 Speaker 1: and this is where we really put our money. Where 50 00:03:12,840 --> 00:03:18,000 Speaker 1: mouths are, your ears are something something something, Okay, Anyway, anyway, 51 00:03:18,080 --> 00:03:20,280 Speaker 1: here we go. We're going to explore We're going to 52 00:03:20,320 --> 00:03:23,720 Speaker 1: explore disturbing story out of New Jersey. We're going to 53 00:03:24,080 --> 00:03:29,400 Speaker 1: explore a story that starts with a funny headline and 54 00:03:29,400 --> 00:03:32,640 Speaker 1: then goes to some really dangerous stuff over off the 55 00:03:32,680 --> 00:03:35,480 Speaker 1: coast of Florida. And then we're gonna end with a 56 00:03:35,560 --> 00:03:40,280 Speaker 1: quick little cavalcade of voicemails that really stood out to 57 00:03:40,520 --> 00:03:45,920 Speaker 1: the both of us. Matt, I propose that we begin 58 00:03:46,520 --> 00:03:51,240 Speaker 1: this week's exploration in New Jersey high new Joy Easy 59 00:03:53,560 --> 00:03:55,640 Speaker 1: would say, I guess I always hear him saying that 60 00:03:55,640 --> 00:03:58,160 Speaker 1: in my head. No, Joy Easy, I don't know why 61 00:03:59,480 --> 00:04:02,320 Speaker 1: he watched way way too much of that HBO show 62 00:04:02,360 --> 00:04:06,160 Speaker 1: Holds The one sopranos okay, was that it I've never 63 00:04:06,200 --> 00:04:13,480 Speaker 1: eard mentioned it Okay, okay, it is a really good 64 00:04:13,880 --> 00:04:17,719 Speaker 1: it is in his defense, it is a fantastic show 65 00:04:17,960 --> 00:04:21,240 Speaker 1: and the Pine Barrens episode is really good. Yeah, so 66 00:04:21,279 --> 00:04:23,680 Speaker 1: I want to thank him for turning me onto that show. 67 00:04:23,680 --> 00:04:28,400 Speaker 1: Actually for sure. Um so, yeah, let's go to New Jersey. 68 00:04:29,000 --> 00:04:32,240 Speaker 1: It is not a message that comes to us necessarily 69 00:04:32,320 --> 00:04:35,720 Speaker 1: from New Jersey. It comes from Taylor, who I did 70 00:04:35,880 --> 00:04:38,479 Speaker 1: have the pleasure of speaking with for a bit. She 71 00:04:38,680 --> 00:04:42,360 Speaker 1: just happened to be scrolling on TikTok when she discovered 72 00:04:42,400 --> 00:04:46,080 Speaker 1: something and she called in and told us about it. Hi. UM, 73 00:04:46,120 --> 00:04:48,240 Speaker 1: so my name is Taylor. Feel free to use my 74 00:04:48,360 --> 00:04:51,600 Speaker 1: name in this message. UM. I wanted to talk about 75 00:04:51,680 --> 00:04:55,880 Speaker 1: Colonial High School in Colonia, New Jersey. So basically what 76 00:04:56,080 --> 00:04:57,960 Speaker 1: is happening there is that there seems to be in 77 00:04:57,960 --> 00:05:01,479 Speaker 1: a normally high rate of people UM who had the 78 00:05:01,520 --> 00:05:04,040 Speaker 1: same type of brain tumor um so that would be 79 00:05:04,120 --> 00:05:08,640 Speaker 1: glioblastoma multiforme. So this is being detected in high rates 80 00:05:08,640 --> 00:05:12,040 Speaker 1: among students and staff UM that have attended or worked 81 00:05:12,040 --> 00:05:14,359 Speaker 1: at the school over time. The school was built in 82 00:05:14,360 --> 00:05:16,599 Speaker 1: the sixties, so this is definitely a longitude and all 83 00:05:16,600 --> 00:05:19,720 Speaker 1: type of discovery is not just current students and it's 84 00:05:19,760 --> 00:05:22,040 Speaker 1: not just people from a certain time in the past. 85 00:05:22,360 --> 00:05:27,479 Speaker 1: I first thought out about this on TikTok, of all places, UM, 86 00:05:27,520 --> 00:05:29,159 Speaker 1: and I've seen a lot of things about it on 87 00:05:29,200 --> 00:05:31,680 Speaker 1: Reddit as well. UM. In the comments on both of 88 00:05:31,720 --> 00:05:34,640 Speaker 1: those things, do you see a lot of people being like, Yeah, 89 00:05:34,760 --> 00:05:36,800 Speaker 1: my uncle went here and he had this. Oh my 90 00:05:36,800 --> 00:05:39,200 Speaker 1: my sister had this. I know people. So it seems 91 00:05:39,240 --> 00:05:43,000 Speaker 1: like it's very present in those types of UM platforms. 92 00:05:43,920 --> 00:05:46,320 Speaker 1: And then when I tried to look up the news articles, 93 00:05:46,400 --> 00:05:49,480 Speaker 1: I really could only find in terms of mainstream news, UM, 94 00:05:49,560 --> 00:05:52,839 Speaker 1: something from CBS News and today I talked about it. 95 00:05:52,880 --> 00:05:57,479 Speaker 1: The rest seemed to be more local, smaller outlets UM. 96 00:05:57,560 --> 00:06:00,000 Speaker 1: But even so, in these articles they seemed to become 97 00:06:00,000 --> 00:06:02,359 Speaker 1: talking about the same type of idea that there's some 98 00:06:02,400 --> 00:06:05,839 Speaker 1: type of environmental factor happening. Maybe something to do with 99 00:06:05,839 --> 00:06:08,200 Speaker 1: the land the school is built on. UM. I'm not 100 00:06:08,279 --> 00:06:10,840 Speaker 1: really sure. So that's why I think you guys maybe 101 00:06:10,839 --> 00:06:12,880 Speaker 1: want to talk about this so you find it interesting. 102 00:06:13,320 --> 00:06:16,520 Speaker 1: Maybe there's still other similar situations that have happened where 103 00:06:16,520 --> 00:06:20,359 Speaker 1: there's pockets of exposure. UM. But I just kind of 104 00:06:20,400 --> 00:06:22,560 Speaker 1: feel like it's not really being discussed. It seems like 105 00:06:22,560 --> 00:06:25,719 Speaker 1: there are preliminary tests um happening, but I have not 106 00:06:25,760 --> 00:06:28,240 Speaker 1: seen any results of those tests published or talked about 107 00:06:28,240 --> 00:06:31,240 Speaker 1: really in any capacity. It seems a little suspicious if 108 00:06:31,240 --> 00:06:33,839 Speaker 1: you ask me. I don't know, so I figured who 109 00:06:33,839 --> 00:06:37,039 Speaker 1: else is These guys are perfectly quick to talk about this, 110 00:06:37,720 --> 00:06:39,720 Speaker 1: and I will say, leaving a voicemail is a little 111 00:06:39,800 --> 00:06:42,200 Speaker 1: harder than it seems, so props to everyone else who's 112 00:06:42,240 --> 00:06:44,360 Speaker 1: left one before me. That I think sounds a little 113 00:06:44,360 --> 00:06:46,760 Speaker 1: bit more composed than I do. So hopefully that speaks 114 00:06:46,760 --> 00:06:49,040 Speaker 1: to you guys interest. Um, thanks get up the good 115 00:06:49,080 --> 00:06:54,600 Speaker 1: work by oh nice, well done. I never asked her 116 00:06:54,600 --> 00:06:57,280 Speaker 1: why it was harder to leave a voicemail than she expected. 117 00:06:57,360 --> 00:07:00,480 Speaker 1: I don't know why. It's literally been and so music 118 00:07:00,760 --> 00:07:03,960 Speaker 1: and then it goes beep and you talk. It should 119 00:07:03,960 --> 00:07:09,200 Speaker 1: be easy, well, people, people don't react super well to 120 00:07:09,279 --> 00:07:13,760 Speaker 1: being put on the spot, you know. Earlier, earlier, I 121 00:07:13,840 --> 00:07:18,960 Speaker 1: had advised folks to not be afraid of taking You 122 00:07:19,000 --> 00:07:21,160 Speaker 1: and I both talked about this back in the day 123 00:07:21,240 --> 00:07:24,720 Speaker 1: when we first had the voicemail rolling out. Make a 124 00:07:24,720 --> 00:07:27,280 Speaker 1: little bullet point list, you know, and you could just 125 00:07:27,320 --> 00:07:32,560 Speaker 1: read off the bullet points right. But regardless when when 126 00:07:32,600 --> 00:07:35,840 Speaker 1: you contact us, folks, Please don't feel like you're in 127 00:07:36,080 --> 00:07:40,040 Speaker 1: anything but safe hands. You know where we've got your back, 128 00:07:40,480 --> 00:07:42,880 Speaker 1: and that Matt in particular, as you're back as I 129 00:07:42,960 --> 00:07:46,160 Speaker 1: as I said earlier, and also Taylor, I would say 130 00:07:46,200 --> 00:07:51,080 Speaker 1: that was a really well done voicemail. Yeah I was. Yeah, absolutely, 131 00:07:51,560 --> 00:07:53,920 Speaker 1: So let's get into this. Let's what let's talk about 132 00:07:53,960 --> 00:07:58,000 Speaker 1: what Taylor just hipped us to. Oh wow, I'm old. Okay, 133 00:07:58,040 --> 00:08:01,800 Speaker 1: So let's head on out to Colonial Worry. I'm sorry 134 00:08:01,800 --> 00:08:04,120 Speaker 1: I have to interrupt because you know, I don't understand 135 00:08:04,120 --> 00:08:06,600 Speaker 1: these things. Is saying hip dust too? Is that an old? 136 00:08:06,840 --> 00:08:09,200 Speaker 1: Is that archaic? Now? I don't know. I think so? 137 00:08:09,440 --> 00:08:15,040 Speaker 1: Maybe not? Is it? Uh? Did I? Okay? Okay, never mind, 138 00:08:15,200 --> 00:08:16,840 Speaker 1: let us know. Let us let us know if that's 139 00:08:16,840 --> 00:08:19,160 Speaker 1: an old figure of speech, because we we don't. But 140 00:08:21,080 --> 00:08:24,760 Speaker 1: New Joysey to Colonial High School, Home of the Fighting Patriots. 141 00:08:24,800 --> 00:08:27,800 Speaker 1: I've added the fighting there for everybody. It's a school 142 00:08:27,840 --> 00:08:32,520 Speaker 1: that was built in nineteen sixties seven, and according to 143 00:08:32,760 --> 00:08:36,800 Speaker 1: CBS News and several other places, as Taylor mentioned, there, 144 00:08:37,360 --> 00:08:41,200 Speaker 1: there is something rotten going on. Whether or not it 145 00:08:41,240 --> 00:08:43,280 Speaker 1: actually has anything to do with the high School that 146 00:08:43,440 --> 00:08:47,280 Speaker 1: is left to be found but there's definitely something happening 147 00:08:47,320 --> 00:08:50,959 Speaker 1: in that area. Let's jump to March, all the way 148 00:08:51,000 --> 00:08:56,559 Speaker 1: back to March when CBS News via Meg Baker, who 149 00:08:56,600 --> 00:09:00,120 Speaker 1: was writing for them, reported former Woodbridge, New Jersey the 150 00:09:00,240 --> 00:09:04,160 Speaker 1: Residents says sixty five people who either attended or worked 151 00:09:04,280 --> 00:09:08,920 Speaker 1: at Colonial High School have had rare brain tumors. Mm hmmm. 152 00:09:09,679 --> 00:09:13,000 Speaker 1: And there's an interview here with a gentleman named al 153 00:09:13,240 --> 00:09:16,800 Speaker 1: Lupiano l U p I A n O. He is 154 00:09:16,840 --> 00:09:19,960 Speaker 1: the person, the primary person who has been looking into 155 00:09:20,000 --> 00:09:23,960 Speaker 1: this and performing the research, talking to people, gathering all 156 00:09:24,000 --> 00:09:27,800 Speaker 1: of the intel. He's an environmental scientist and he had 157 00:09:27,920 --> 00:09:31,760 Speaker 1: confirmed as of that date, sixty five individual cases of 158 00:09:31,880 --> 00:09:36,640 Speaker 1: people with with rare brain tumors. And the only common 159 00:09:36,640 --> 00:09:39,760 Speaker 1: denominator that he was able to ascertain at that time 160 00:09:40,080 --> 00:09:44,160 Speaker 1: was the high school itself. And he was actually diagnosed 161 00:09:44,280 --> 00:09:46,960 Speaker 1: with a brain tumor one of these. It was over 162 00:09:47,000 --> 00:09:49,840 Speaker 1: twenty years ago, so around two thousand two when he 163 00:09:49,920 --> 00:09:53,520 Speaker 1: was diagnosed, and he still suffers from issues from that, 164 00:09:53,559 --> 00:09:59,000 Speaker 1: according to CBS. And he it's not like it's just him. 165 00:09:59,160 --> 00:10:03,720 Speaker 1: His sister, who also attended the school, was diagnosed with 166 00:10:03,720 --> 00:10:07,120 Speaker 1: a brain tumor as well. As his wife. His like, seriously, 167 00:10:07,120 --> 00:10:10,800 Speaker 1: think about that, you, your spouse, and your sibling all 168 00:10:10,880 --> 00:10:16,040 Speaker 1: diagnosed with a brain tumor. His sister, unfortunately, was diagnosed 169 00:10:16,080 --> 00:10:21,000 Speaker 1: with iglioblastoma and she passed away um at least as 170 00:10:21,040 --> 00:10:24,840 Speaker 1: of the reporting that was done. Then context note context, 171 00:10:24,920 --> 00:10:28,480 Speaker 1: not only five of brain tumors may be linked to 172 00:10:28,720 --> 00:10:35,400 Speaker 1: hereditary genetic factors, So the odds against that are fairly significant. Yeah, 173 00:10:35,400 --> 00:10:38,640 Speaker 1: they are. And then you bring in the other sixty 174 00:10:38,640 --> 00:10:41,560 Speaker 1: two people that he had identified, and you know, your 175 00:10:41,800 --> 00:10:45,040 Speaker 1: your mind starts reeling, Wow, what is happening here? What 176 00:10:45,240 --> 00:10:49,760 Speaker 1: is the common denominator? What what's occurring? Um? So Al 177 00:10:49,840 --> 00:10:52,720 Speaker 1: has just been on a mission since he made this discovery, 178 00:10:53,160 --> 00:10:56,600 Speaker 1: like figure out what this is and get some action done. 179 00:10:57,160 --> 00:11:00,120 Speaker 1: It's it's pretty awesome actually, And Al, I don't if 180 00:11:00,120 --> 00:11:02,559 Speaker 1: you're listening or not, but if you're, this is you're 181 00:11:02,600 --> 00:11:04,760 Speaker 1: doing great work. Man. Thank you for doing what you're doing. 182 00:11:05,240 --> 00:11:07,800 Speaker 1: And I'm gonna read you a quote from Al within 183 00:11:07,840 --> 00:11:11,840 Speaker 1: this article. Quote. What I find alarming is there's truly 184 00:11:12,000 --> 00:11:15,600 Speaker 1: only one environmental link to primary brain tumors like this. 185 00:11:15,920 --> 00:11:20,520 Speaker 1: I added that like this, and that's ionizing radiation. It's 186 00:11:20,559 --> 00:11:24,080 Speaker 1: not contaminated water. It's not air, it's not something in 187 00:11:24,080 --> 00:11:26,720 Speaker 1: the soil, it's not something done to us due to 188 00:11:26,760 --> 00:11:31,520 Speaker 1: bad habits. It's ionizing radiation. So this is according to 189 00:11:31,559 --> 00:11:34,640 Speaker 1: Al who's an environmental scientist. Uh, this is somebody who 190 00:11:34,720 --> 00:11:38,800 Speaker 1: has had brain cancer for over twenty years. This is uh, 191 00:11:38,880 --> 00:11:43,079 Speaker 1: somebody coming at this from a very scientific perspective. And 192 00:11:43,280 --> 00:11:47,720 Speaker 1: so if you think about ionizing radiation, that's probably something 193 00:11:47,800 --> 00:11:50,319 Speaker 1: in an environment, in a building, in a place where 194 00:11:50,360 --> 00:11:53,800 Speaker 1: you have been a lot, because you there's gonna be 195 00:11:53,840 --> 00:11:57,000 Speaker 1: a lot of ionizing radiation required in order to create 196 00:11:57,000 --> 00:12:00,280 Speaker 1: that kind of tumor. Right, it's not just a one dose. 197 00:12:00,400 --> 00:12:04,520 Speaker 1: Now you've got a tumor kind of thing. So Al 198 00:12:04,640 --> 00:12:07,520 Speaker 1: Lupiano started saying, well, maybe it is this school. Maybe 199 00:12:07,559 --> 00:12:10,839 Speaker 1: that's what the problem is. So we had a target, right, 200 00:12:11,240 --> 00:12:15,520 Speaker 1: a potential thing to research to study, and started down 201 00:12:15,520 --> 00:12:19,600 Speaker 1: that path. And immediately there's a response here from Woodbridge 202 00:12:19,640 --> 00:12:21,480 Speaker 1: Mayor John McCormick that I want to read to you. 203 00:12:21,520 --> 00:12:25,760 Speaker 1: It's also in that CBS article quote it was virgin Land, 204 00:12:26,280 --> 00:12:28,959 Speaker 1: it was woods The high school was the first thing 205 00:12:29,000 --> 00:12:31,440 Speaker 1: to be there, So there was probably nothing in the 206 00:12:31,440 --> 00:12:33,800 Speaker 1: ground at the time. The only thing that could have 207 00:12:33,880 --> 00:12:38,679 Speaker 1: happened potentially was phil that was brought in during construction. 208 00:12:39,640 --> 00:12:42,040 Speaker 1: And here's the last part of that quote. We have 209 00:12:42,120 --> 00:12:46,439 Speaker 1: no records fifty five years ago. Now, what the mayor 210 00:12:46,520 --> 00:12:49,240 Speaker 1: is saying here is that potentially, if there wasn't some 211 00:12:49,360 --> 00:12:54,880 Speaker 1: kind of factor that was producing ionizing radiation, the only thing, 212 00:12:54,960 --> 00:12:57,880 Speaker 1: according to him, that it could be is the dirt 213 00:12:58,040 --> 00:13:01,080 Speaker 1: in the land that was brought in to you know 214 00:13:01,160 --> 00:13:03,760 Speaker 1: what he's calling phil the stuff that you add in 215 00:13:03,840 --> 00:13:07,640 Speaker 1: order to get certain elevations, whether you're going up or down, 216 00:13:08,080 --> 00:13:11,200 Speaker 1: to make a building fit into you know, the place 217 00:13:11,200 --> 00:13:13,719 Speaker 1: where you're putting it. Ben, I just really quickly want 218 00:13:13,720 --> 00:13:15,960 Speaker 1: to pause here for a moment, because when I hear, 219 00:13:16,720 --> 00:13:20,240 Speaker 1: especially a school like this, something bad is happening in 220 00:13:20,240 --> 00:13:23,160 Speaker 1: an environment where a lot of people are gathering. Often 221 00:13:23,880 --> 00:13:27,320 Speaker 1: I think about those environmental factors that are supposedly not 222 00:13:27,360 --> 00:13:29,680 Speaker 1: playing a part in the issue here. I think about 223 00:13:29,679 --> 00:13:32,920 Speaker 1: the water source, right, like lead pipes. Maybe something that's 224 00:13:33,400 --> 00:13:35,800 Speaker 1: uh that all of the kids and people working there 225 00:13:35,840 --> 00:13:40,079 Speaker 1: would consume the air. Maybe something got into the ventilation 226 00:13:40,120 --> 00:13:42,400 Speaker 1: system and has been there for a long time. Maybe 227 00:13:42,400 --> 00:13:46,360 Speaker 1: the building materials we're causing some kind of problem like asbestos. 228 00:13:46,840 --> 00:13:51,160 Speaker 1: I don't think about ionizing radiation or you know, radioactive 229 00:13:51,200 --> 00:13:54,120 Speaker 1: stuff that could be causing this. And I think the 230 00:13:54,160 --> 00:14:02,560 Speaker 1: three main factors of ionized radiation or ionizing radiation are well, 231 00:14:02,720 --> 00:14:08,520 Speaker 1: broadly put, it's radiation from Earth, it's radiation from space, 232 00:14:09,400 --> 00:14:13,520 Speaker 1: and then radiation from building materials. So I think you 233 00:14:13,600 --> 00:14:16,720 Speaker 1: might be on to something, my friend, Well, I think so. 234 00:14:16,840 --> 00:14:21,360 Speaker 1: It feels like it, right. But remember we're back in March, 235 00:14:21,560 --> 00:14:24,960 Speaker 1: late March of this year, so if you jump forward 236 00:14:25,000 --> 00:14:28,120 Speaker 1: in time just a little bit to May fourth, there's 237 00:14:28,160 --> 00:14:32,280 Speaker 1: another story from CBS that again is about al Lupiano, 238 00:14:32,440 --> 00:14:35,520 Speaker 1: and you know his mission that he's on at that time. 239 00:14:35,520 --> 00:14:39,160 Speaker 1: He's discovered over a hundred and fifteen people that have 240 00:14:39,240 --> 00:14:41,960 Speaker 1: a link with the school again, attended there or worked 241 00:14:41,960 --> 00:14:45,520 Speaker 1: there at some point in their life. He's getting he's 242 00:14:45,520 --> 00:14:48,520 Speaker 1: got more than two thousand people at this time to 243 00:14:48,600 --> 00:14:52,240 Speaker 1: sign a change dot or petition. It's becoming a bigger 244 00:14:52,280 --> 00:14:56,480 Speaker 1: and bigger story. There's more of an alarm going off 245 00:14:56,480 --> 00:14:59,640 Speaker 1: in the local area about this. More and more people 246 00:14:59,680 --> 00:15:02,560 Speaker 1: who have had a family member with a brain tumor 247 00:15:02,600 --> 00:15:04,880 Speaker 1: who attended the school are realizing, oh wow, this is 248 00:15:04,920 --> 00:15:09,040 Speaker 1: a thing. The story is growing at this point, and 249 00:15:09,320 --> 00:15:13,240 Speaker 1: it grows enough to where there's some actual action being 250 00:15:13,280 --> 00:15:18,920 Speaker 1: taken by Woodbridge and the government there. This is fascinating 251 00:15:19,040 --> 00:15:22,800 Speaker 1: because it's fascinating a very bad way. Taylor, You're correct, 252 00:15:22,880 --> 00:15:28,760 Speaker 1: there's what I would consider longitudinal evidence here. Uh. One 253 00:15:28,800 --> 00:15:30,640 Speaker 1: thing that I think we should point out, just to 254 00:15:30,680 --> 00:15:36,320 Speaker 1: put this in context, is that overall, if you live 255 00:15:36,560 --> 00:15:41,960 Speaker 1: in the US, your chances of developing a malignant tumor 256 00:15:42,200 --> 00:15:44,760 Speaker 1: of not only the brain, but the spinal cord as 257 00:15:44,800 --> 00:15:49,640 Speaker 1: well sometime in your lifetime is less than one percent. Further, 258 00:15:50,080 --> 00:15:55,600 Speaker 1: I would add, there is this pretty compelling evidence from 259 00:15:55,760 --> 00:15:58,920 Speaker 1: cancer dot org and one of their studies that indicates 260 00:16:00,120 --> 00:16:03,480 Speaker 1: the rate of or the incident rate as it's called 261 00:16:03,520 --> 00:16:08,520 Speaker 1: for malignant brain or general CNS central nervous system tumors, 262 00:16:09,680 --> 00:16:13,640 Speaker 1: has been in decline from two thousand eight to seventeen. 263 00:16:14,240 --> 00:16:19,840 Speaker 1: So there is something different about this place. It's still 264 00:16:20,160 --> 00:16:22,520 Speaker 1: it feels like it's still sort of a who done it? 265 00:16:22,840 --> 00:16:26,360 Speaker 1: But there's definitely something there. We just need to figure 266 00:16:26,360 --> 00:16:29,960 Speaker 1: out what exactly it is. And here's where the twist 267 00:16:30,120 --> 00:16:35,160 Speaker 1: comes in. Ben studies were done on the school. The 268 00:16:35,200 --> 00:16:38,160 Speaker 1: story grew enough to where they actually took action. There's 269 00:16:38,200 --> 00:16:41,640 Speaker 1: an environmental study at the high school on the campus, 270 00:16:41,680 --> 00:16:45,280 Speaker 1: on the interior and exterior of the campus, anywhere where 271 00:16:45,320 --> 00:16:49,480 Speaker 1: students and staff would be roaming in like just existing 272 00:16:50,000 --> 00:16:52,800 Speaker 1: for long periods of time. And here's a quote from 273 00:16:52,840 --> 00:16:55,560 Speaker 1: an article from the NBC news outlet there in the 274 00:16:55,680 --> 00:16:59,120 Speaker 1: in the area. Today, we are very happy to announce 275 00:17:00,000 --> 00:17:03,480 Speaker 1: at our extensive testing for both radon and radiation in 276 00:17:03,520 --> 00:17:07,640 Speaker 1: the interior and exterior of the school produced no evidence 277 00:17:07,960 --> 00:17:13,040 Speaker 1: of any cancer causing hazards that warrant further investigation. That 278 00:17:13,080 --> 00:17:19,600 Speaker 1: comes from Mayor John McCormick. And I'm pretty sure correct 279 00:17:19,600 --> 00:17:22,120 Speaker 1: me if I'm off base here, Matt, but I'm pretty 280 00:17:22,160 --> 00:17:27,040 Speaker 1: sure this school is still open. It is right now. 281 00:17:27,280 --> 00:17:30,160 Speaker 1: They should be out for summer break, but the school 282 00:17:30,200 --> 00:17:34,200 Speaker 1: itself is is still open. Yeah, I attempted to call 283 00:17:34,400 --> 00:17:37,320 Speaker 1: the school, but I'm pretty sure staff was just you know, 284 00:17:37,400 --> 00:17:39,840 Speaker 1: not there in the office to even accept a call. 285 00:17:40,480 --> 00:17:44,160 Speaker 1: Um gonna probably continue calling just to ask questions, even 286 00:17:44,160 --> 00:17:46,320 Speaker 1: though the school itself isn't gonna have any information. It's 287 00:17:46,320 --> 00:17:49,159 Speaker 1: going to be the bodies you know that the mayor hired, 288 00:17:49,240 --> 00:17:52,680 Speaker 1: probably to do the testing. This school probably also cannot 289 00:17:52,800 --> 00:17:57,120 Speaker 1: legally comment to someone like you or me about this. Yeah, 290 00:17:57,280 --> 00:18:00,440 Speaker 1: I'm trying to get somebody who would be able to, right, 291 00:18:00,600 --> 00:18:02,159 Speaker 1: but I probably have to go to some kind of 292 00:18:02,200 --> 00:18:06,159 Speaker 1: superintendent or something. I don't want to do that. But 293 00:18:06,280 --> 00:18:09,160 Speaker 1: this is this is the thing. People are not happy 294 00:18:09,240 --> 00:18:12,200 Speaker 1: in the local area, especially people who have been affected 295 00:18:12,200 --> 00:18:16,720 Speaker 1: by this. They think, uh, something is wrong, something isn't 296 00:18:16,760 --> 00:18:18,840 Speaker 1: being looked at. And it is true. It wasn't an 297 00:18:18,880 --> 00:18:22,160 Speaker 1: extensive study. They didn't, you know, they look for radioactivity, 298 00:18:22,400 --> 00:18:25,959 Speaker 1: specifically that ionizing radiation that has mentioned there, the thing 299 00:18:26,000 --> 00:18:29,240 Speaker 1: that causes these types of cancers. But they didn't test 300 00:18:29,240 --> 00:18:31,120 Speaker 1: the water, they didn't test the air, they didn't test 301 00:18:31,119 --> 00:18:34,160 Speaker 1: any of the other stuff. But it shouldn't those things 302 00:18:34,200 --> 00:18:37,359 Speaker 1: shouldn't be a factor, so not testing them shouldn't be 303 00:18:37,400 --> 00:18:41,879 Speaker 1: a problem. Right. It's very puzzling. And to me, what 304 00:18:41,920 --> 00:18:46,040 Speaker 1: it states is that there's some other place that is 305 00:18:46,080 --> 00:18:49,159 Speaker 1: a factor in this that just hasn't been you know, 306 00:18:49,200 --> 00:18:53,480 Speaker 1: identified yet, someplace in that general area that everybody goes 307 00:18:53,520 --> 00:18:56,720 Speaker 1: to at least once or a couple of times in 308 00:18:56,760 --> 00:19:01,160 Speaker 1: their life, some sort of intervening variable, right, some there's 309 00:19:01,200 --> 00:19:05,760 Speaker 1: got to be some kind of public public good. Yeah, absolutely, 310 00:19:05,800 --> 00:19:09,879 Speaker 1: and I know Lupiano partnered with some folks to administer 311 00:19:10,480 --> 00:19:14,320 Speaker 1: free brain scans. This feels like an episode kind of 312 00:19:14,400 --> 00:19:17,800 Speaker 1: on the case here now, yes, good, that's well, that's 313 00:19:17,920 --> 00:19:21,200 Speaker 1: the best place that we could be. Honestly, that's how 314 00:19:22,200 --> 00:19:24,440 Speaker 1: that's how we figure stuff out here on this show. 315 00:19:24,480 --> 00:19:28,160 Speaker 1: At least we get excited because you send us something generally, 316 00:19:28,280 --> 00:19:30,480 Speaker 1: and now we just can't stop thinking about it until 317 00:19:30,480 --> 00:19:32,600 Speaker 1: we get to the bottom of it. So thank you 318 00:19:32,640 --> 00:19:34,920 Speaker 1: so much Taylor for sending this to us. You can 319 00:19:34,960 --> 00:19:37,520 Speaker 1: read more about this and a lot of the local outlets. 320 00:19:37,640 --> 00:19:40,959 Speaker 1: The latest reporting I could find is from late May 321 00:19:41,400 --> 00:19:44,680 Speaker 1: early like very very early June. So if you read 322 00:19:44,880 --> 00:19:46,800 Speaker 1: or see anything new, we'd love to hear from you, 323 00:19:47,359 --> 00:19:49,800 Speaker 1: please reach out to us. For now, we're gonna take 324 00:19:49,800 --> 00:19:51,720 Speaker 1: a break here from a sponsor, but we'll be right 325 00:19:51,760 --> 00:20:01,840 Speaker 1: back with more messages from you and we've returned. Before 326 00:20:01,880 --> 00:20:06,439 Speaker 1: we move on, I do want to point out that 327 00:20:06,480 --> 00:20:12,080 Speaker 1: I'm reaching out to al Lupiano via social media, So 328 00:20:12,119 --> 00:20:16,120 Speaker 1: if you know him, or if you are him real 329 00:20:16,119 --> 00:20:18,760 Speaker 1: in contact with him, let him know, let him know 330 00:20:18,840 --> 00:20:21,600 Speaker 1: to check his messages. This is this is the part 331 00:20:21,640 --> 00:20:24,840 Speaker 1: where my ears twitched, my nose starts tingling, you know 332 00:20:24,880 --> 00:20:27,080 Speaker 1: what I mean, and what passes from my heart beats 333 00:20:27,080 --> 00:20:36,600 Speaker 1: a little. So now now speaking of strange, uh, strange, funny, 334 00:20:36,640 --> 00:20:43,399 Speaker 1: disturbing things. Uh, Matt, I've been getting really into seafood, 335 00:20:44,600 --> 00:20:48,199 Speaker 1: despite the fact that the marine systems are collapsing around us, 336 00:20:48,280 --> 00:20:52,679 Speaker 1: or maybe partially because of it. I I want to 337 00:20:52,720 --> 00:20:55,840 Speaker 1: ask you if you've ever heard of a little something 338 00:20:55,920 --> 00:21:00,720 Speaker 1: called the bone fish. All one word, not bone fish grill. Yeah, 339 00:21:00,760 --> 00:21:06,960 Speaker 1: that's that's literally where my brain went. Um, the bone fish. 340 00:21:07,000 --> 00:21:11,320 Speaker 1: It sounds naughty, but I like it. Tell me about it. 341 00:21:11,320 --> 00:21:13,760 Speaker 1: It probably you know. It makes me think that if 342 00:21:14,040 --> 00:21:17,360 Speaker 1: Sublime had been able to stay together longer, ultimately they 343 00:21:17,359 --> 00:21:21,320 Speaker 1: would have released something called bone fish. Well. Uh, the 344 00:21:21,359 --> 00:21:27,679 Speaker 1: bone fish describes usually a thing called albula volt base 345 00:21:28,080 --> 00:21:32,280 Speaker 1: and it is it could be pretty big fish. Uh, 346 00:21:32,320 --> 00:21:35,560 Speaker 1: it's not ever gonna be as like popular as salmon, 347 00:21:35,720 --> 00:21:40,520 Speaker 1: and there are a couple of different ways to eat it, etcetera, etcetera. 348 00:21:40,560 --> 00:21:42,480 Speaker 1: But I started learning a lot about the bone fish, 349 00:21:42,480 --> 00:21:46,359 Speaker 1: in particular thanks to someone who reached out to me 350 00:21:46,680 --> 00:21:51,080 Speaker 1: at ben Bowling on Instagram. Uh, and I've got a 351 00:21:51,119 --> 00:21:53,440 Speaker 1: lot of our fellow conspiracy realist. I want to thank 352 00:21:53,480 --> 00:21:55,960 Speaker 1: you for reaching reach out to me on Instagram and 353 00:21:56,040 --> 00:21:59,680 Speaker 1: read every email we get. Matt does too, but it's 354 00:21:59,720 --> 00:22:02,320 Speaker 1: some times it's a little bit easier for me to 355 00:22:02,400 --> 00:22:05,119 Speaker 1: keep track of things. Uh. And we always try to 356 00:22:05,160 --> 00:22:09,919 Speaker 1: preserve an anonymity, but in this case, my friend and 357 00:22:09,960 --> 00:22:12,719 Speaker 1: we had a conversation about this. In this case, my 358 00:22:12,760 --> 00:22:18,160 Speaker 1: apologies to you because I couldn't I couldn't find your 359 00:22:18,280 --> 00:22:21,240 Speaker 1: name and credit is very important to me. So please 360 00:22:21,320 --> 00:22:24,639 Speaker 1: please please reach out as soon as you hear this 361 00:22:25,200 --> 00:22:28,280 Speaker 1: and just say, hey, sol, I'm the guy who told 362 00:22:28,320 --> 00:22:31,439 Speaker 1: you about those bone fish and I will shout you 363 00:22:31,480 --> 00:22:34,080 Speaker 1: out on air because you deserve it, and you took 364 00:22:34,119 --> 00:22:37,840 Speaker 1: the time to write to our show, regardless of the avenue. 365 00:22:37,920 --> 00:22:41,479 Speaker 1: We are grateful for it. Here's the story, Matt. Bone 366 00:22:41,480 --> 00:22:46,120 Speaker 1: fish are not just uh you know, pretty delicious, uh, 367 00:22:46,200 --> 00:22:49,920 Speaker 1: a little kind of fish for seafood fans. If you're 368 00:22:50,080 --> 00:22:52,680 Speaker 1: off the coast of Florida, you're gonna find that they're 369 00:22:52,720 --> 00:22:57,879 Speaker 1: also on drugs. As our soon to be non anonymous 370 00:22:58,480 --> 00:23:02,480 Speaker 1: Instagram pal of my and hipped me to this. Uh. 371 00:23:02,760 --> 00:23:07,760 Speaker 1: It turns out that there was a study released that 372 00:23:07,960 --> 00:23:14,240 Speaker 1: found dozens of pharmaceutical drugs. We're indating the blood and 373 00:23:14,440 --> 00:23:19,159 Speaker 1: tissue of fish off the coast of South Florida, and 374 00:23:19,200 --> 00:23:23,280 Speaker 1: we're talking multiple things. The some of the stuff that 375 00:23:23,320 --> 00:23:27,320 Speaker 1: people consider fun, like valium, some of the stuff people 376 00:23:27,359 --> 00:23:33,840 Speaker 1: consider necessary, like antidepressants and blood pressure meds. I want 377 00:23:33,840 --> 00:23:37,679 Speaker 1: to shout out Nick Castillo. It was a scientist with 378 00:23:37,720 --> 00:23:41,440 Speaker 1: the Florida International University and the bone Fish and Tarpon 379 00:23:41,600 --> 00:23:45,159 Speaker 1: Trust who broke down some of this study, which you 380 00:23:45,240 --> 00:23:50,119 Speaker 1: can read about in multiple sources now. Costillo says, we 381 00:23:50,200 --> 00:23:54,800 Speaker 1: found pharmaceuticals everywhere and there was no place where basically 382 00:23:54,960 --> 00:24:00,159 Speaker 1: a fish could be unexposed to pharmaceuticals, and that was 383 00:24:00,200 --> 00:24:05,040 Speaker 1: a surprise, Matt. They tested nine three bone fish in 384 00:24:05,119 --> 00:24:08,679 Speaker 1: particular as part of this study across three years, and 385 00:24:09,520 --> 00:24:15,119 Speaker 1: of the three they tested, three were found to have 386 00:24:15,200 --> 00:24:19,160 Speaker 1: drugs in their system. So yes, fish drug tester thing now. 387 00:24:19,600 --> 00:24:25,359 Speaker 1: And it wasn't just one drug per fish. It wasn't like, oh, 388 00:24:25,600 --> 00:24:28,960 Speaker 1: the one one fish was getting high. The average number 389 00:24:29,000 --> 00:24:32,240 Speaker 1: of drugs found and the bodies of each of these 390 00:24:32,280 --> 00:24:37,040 Speaker 1: fish was seven seven different drugs pharmaceutical drugs. Some had 391 00:24:37,040 --> 00:24:41,800 Speaker 1: as many as sixteen distinctly different types of drugs in 392 00:24:41,840 --> 00:24:46,920 Speaker 1: their system. Wow, and then you mentioned you mentioned several 393 00:24:47,640 --> 00:24:51,359 Speaker 1: types of drugs. I don't want to be agist in 394 00:24:51,400 --> 00:24:55,320 Speaker 1: any way. This is my personal experience. Most of the 395 00:24:55,520 --> 00:24:59,560 Speaker 1: travel I've done in Florida, or to Florida rather was 396 00:24:59,720 --> 00:25:03,199 Speaker 1: to is it grandparents to hang out in, you know, 397 00:25:03,320 --> 00:25:09,359 Speaker 1: communities that are specifically retirement communities. Um. Many of the 398 00:25:09,480 --> 00:25:13,400 Speaker 1: drugs described sound like, I don't mean to be ages. 399 00:25:13,520 --> 00:25:17,280 Speaker 1: It sounds like retirement community medications. Right. Didn't you say 400 00:25:17,280 --> 00:25:20,560 Speaker 1: blood thinners and uh, all kinds of stuff like the 401 00:25:20,680 --> 00:25:27,400 Speaker 1: big one, Yeah, antidepressants, um, and also prostrate treatment medications. 402 00:25:27,440 --> 00:25:28,879 Speaker 1: You're going to back you up on this one, that 403 00:25:29,600 --> 00:25:37,320 Speaker 1: antibiotics paying relievers. The news release that the news release 404 00:25:37,400 --> 00:25:42,640 Speaker 1: that I found on this uh, straight from Florida International University, 405 00:25:43,240 --> 00:25:47,919 Speaker 1: paints a a sobering picture of this because what they 406 00:25:47,960 --> 00:25:54,000 Speaker 1: found was a contamination cycle leading through the food chain. 407 00:25:54,600 --> 00:25:58,800 Speaker 1: Bone Fish eat other fish and eat crabs and eat shrimp, 408 00:25:59,040 --> 00:26:03,159 Speaker 1: and the abs, the shrimp, the fish that are prey 409 00:26:03,280 --> 00:26:07,320 Speaker 1: for the bone fish, were also found to have these 410 00:26:07,359 --> 00:26:10,520 Speaker 1: substances in them. And you've nailed it because you have 411 00:26:10,600 --> 00:26:14,280 Speaker 1: to look at the demographics here, right again, not being agist, 412 00:26:14,680 --> 00:26:17,040 Speaker 1: not that it really needs to be said, but clearly 413 00:26:17,119 --> 00:26:20,400 Speaker 1: we're just following the facts here. The smart money right 414 00:26:20,400 --> 00:26:24,440 Speaker 1: now is on the idea that bone fish and other 415 00:26:24,720 --> 00:26:30,400 Speaker 1: animals in the ecosystem are encountering these substances by interacting 416 00:26:30,480 --> 00:26:35,480 Speaker 1: with human waste. There are right now, every year in 417 00:26:35,480 --> 00:26:41,640 Speaker 1: the United States alone, about five billion prescriptions filled, and 418 00:26:41,680 --> 00:26:46,520 Speaker 1: there are no environmental regulations for their disposal of pharmaceuticals. 419 00:26:46,960 --> 00:26:52,760 Speaker 1: It is the wild, doped up West. The contaminants in 420 00:26:52,800 --> 00:26:56,439 Speaker 1: the in this problem usually come from human waste water, 421 00:26:57,040 --> 00:27:00,480 Speaker 1: and your typical waste treatment plant isn't and a filter 422 00:27:00,600 --> 00:27:03,520 Speaker 1: for that sort of stuff. It doesn't really exist to 423 00:27:03,640 --> 00:27:08,160 Speaker 1: a wastewater filtration algorithm. They're just not built to think 424 00:27:08,200 --> 00:27:13,480 Speaker 1: about that. But the issue is those things, those substances 425 00:27:14,000 --> 00:27:17,640 Speaker 1: are powerful, They remain active, they can be released constantly, 426 00:27:18,040 --> 00:27:24,040 Speaker 1: and exposure can affect all aspects of fish behavior. We 427 00:27:24,119 --> 00:27:28,879 Speaker 1: don't exactly know how far it goes, we being the scientists, 428 00:27:28,880 --> 00:27:32,080 Speaker 1: but we know that it has negative and negative consequences 429 00:27:32,080 --> 00:27:35,439 Speaker 1: on things like reproduction, things like odds of survival to 430 00:27:35,520 --> 00:27:39,320 Speaker 1: the extent of their natural lifespan. Also, these things can 431 00:27:39,359 --> 00:27:41,800 Speaker 1: in other parts of the world. We know that they 432 00:27:41,800 --> 00:27:46,359 Speaker 1: can affect fish feeding, their interactions with other fish, and 433 00:27:46,480 --> 00:27:51,520 Speaker 1: their migratory behavior. This has led the researchers of this 434 00:27:51,600 --> 00:27:56,320 Speaker 1: study to say Florida needs to expand and modernize wastewater 435 00:27:56,400 --> 00:28:03,359 Speaker 1: treatment facilities and sewage infrastructure a cross the state. Initial 436 00:28:03,440 --> 00:28:09,639 Speaker 1: question for me was does this affect the human consumer? 437 00:28:10,240 --> 00:28:13,600 Speaker 1: Which was admitted admittedly a very self centered thing to ask. 438 00:28:13,800 --> 00:28:16,680 Speaker 1: But does does it affect you know, it's a question 439 00:28:16,760 --> 00:28:19,080 Speaker 1: anybody in Florida would ask green this headline, Does that? 440 00:28:19,200 --> 00:28:22,000 Speaker 1: Does this affect me? Right? Do we not have to 441 00:28:22,000 --> 00:28:26,280 Speaker 1: pay for medications anymore? Do we just eat local seafood? Right? Right? 442 00:28:26,480 --> 00:28:29,760 Speaker 1: I can't. I can't afford my prescription, So I guess 443 00:28:29,760 --> 00:28:33,879 Speaker 1: I'll become a pesctarian. Is that that? Yeah? You know? 444 00:28:33,920 --> 00:28:38,400 Speaker 1: I also thought of mercury level warnings, which were really, 445 00:28:38,960 --> 00:28:43,280 Speaker 1: you know, really common thing. Uh. Several years ago, people 446 00:28:43,320 --> 00:28:48,640 Speaker 1: were warned to watch their consumption of certain maritime wildlife, 447 00:28:48,720 --> 00:28:52,280 Speaker 1: with the idea being that it could lead to mercury contamination. 448 00:28:53,480 --> 00:28:57,400 Speaker 1: There's some stuff that really alarmed the scientists here, including 449 00:28:57,520 --> 00:29:03,160 Speaker 1: Jennifer Hodge or jag R e h A G. E. 450 00:29:03,520 --> 00:29:08,800 Speaker 1: A Coastal and Phish ecologists An associate professor at the university. 451 00:29:09,240 --> 00:29:14,240 Speaker 1: Not for nothing did she say these findings are incredibly alarming. Quote, 452 00:29:14,360 --> 00:29:19,840 Speaker 1: pharmaceuticals are an invisible threat, unlike al algiel blooms or 453 00:29:19,920 --> 00:29:23,160 Speaker 1: turbid waters. Yet these results tell us that they are 454 00:29:23,280 --> 00:29:27,560 Speaker 1: a formidable threat to our fisheries and highlight the pressing 455 00:29:27,600 --> 00:29:33,200 Speaker 1: need to address our longstanding wastewater infrastructure issues. Do we 456 00:29:33,280 --> 00:29:38,160 Speaker 1: talk about it all the time? No one cares about infrastructure, really, 457 00:29:38,480 --> 00:29:41,440 Speaker 1: it doesn't get the votes, it's boring to talk about. 458 00:29:41,680 --> 00:29:44,920 Speaker 1: It's not a problem with a human face, right, And 459 00:29:45,040 --> 00:29:47,360 Speaker 1: if it's not a problem with a human face or 460 00:29:47,440 --> 00:29:51,080 Speaker 1: like a celebrity attached to it, then people don't really 461 00:29:51,200 --> 00:29:55,760 Speaker 1: care until the bridges start collapsing, right until the water 462 00:29:55,920 --> 00:29:58,720 Speaker 1: coming out of the faucet turns the wrong color or 463 00:29:58,760 --> 00:30:03,760 Speaker 1: catches on fire. Uh. And it's not a profit center either, right, 464 00:30:03,960 --> 00:30:09,080 Speaker 1: So there's there's just no real incentive besides just not 465 00:30:09,160 --> 00:30:12,600 Speaker 1: wanting to have your things break in your city. And 466 00:30:12,680 --> 00:30:15,080 Speaker 1: yet it happens all the time. And this is what's 467 00:30:15,200 --> 00:30:21,200 Speaker 1: blowing my mind here. Man. The ocean is big, dude, 468 00:30:21,480 --> 00:30:26,520 Speaker 1: The ocean is so big. How many drugs have to 469 00:30:26,680 --> 00:30:31,800 Speaker 1: be there to be detectable in one hundred of the 470 00:30:31,840 --> 00:30:35,000 Speaker 1: fish they looked at. Yeah, it's it's got to be 471 00:30:35,040 --> 00:30:39,760 Speaker 1: coming directly out of that wastewater, right and pooling I 472 00:30:39,840 --> 00:30:42,520 Speaker 1: guess in there, because it's not like it would dissipate 473 00:30:42,720 --> 00:30:45,120 Speaker 1: fully into the ocean, right, it would be in a 474 00:30:45,200 --> 00:30:48,880 Speaker 1: localized area. Still, you have clouds of these things, of 475 00:30:49,000 --> 00:30:58,240 Speaker 1: these pharmaceuticals floating around. But it's still. Yeah, it's gross 476 00:30:58,280 --> 00:31:03,600 Speaker 1: and awful and something must be done. Rabble rabble, rabble rebel. Yeah, 477 00:31:03,720 --> 00:31:08,320 Speaker 1: it's I mean, I'm a percent with you. This is 478 00:31:09,760 --> 00:31:14,840 Speaker 1: also calling into question other possible implications. How does this 479 00:31:14,960 --> 00:31:19,640 Speaker 1: affect humans? Right are you if you eat enough, do 480 00:31:19,720 --> 00:31:23,360 Speaker 1: you get functionally a dose of this kind of stuff? 481 00:31:24,000 --> 00:31:27,960 Speaker 1: Where is it? Is it simply a matter of trace amounts? 482 00:31:28,520 --> 00:31:32,920 Speaker 1: What does this mean for the future? Or as one 483 00:31:33,080 --> 00:31:36,560 Speaker 1: clever redditor put it, and please beat me here, Paul, 484 00:31:37,000 --> 00:31:39,760 Speaker 1: doesn't mean that our world is so that even the 485 00:31:39,800 --> 00:31:43,640 Speaker 1: fish need antidepressants. I don't. I don't know what fish 486 00:31:43,680 --> 00:31:46,400 Speaker 1: healthcare is like. Uh, it's like the rest of the ocean. 487 00:31:46,400 --> 00:31:49,480 Speaker 1: It's probably not very good. But it's a bigger problem too. 488 00:31:49,960 --> 00:31:54,080 Speaker 1: And this is what this is why fellow Instagram guy 489 00:31:54,200 --> 00:31:56,560 Speaker 1: we gotta, we gotta talk about this some more because 490 00:31:57,000 --> 00:32:01,160 Speaker 1: I looked into larger context things, right, systemic things. Puget 491 00:32:01,240 --> 00:32:08,000 Speaker 1: Sound also has high rates of drug presence in the salmon. 492 00:32:09,160 --> 00:32:12,680 Speaker 1: They're like, this is not just happening in Florida. This 493 00:32:12,760 --> 00:32:15,160 Speaker 1: is not a case of you know, quote unquote Florida 494 00:32:15,240 --> 00:32:20,720 Speaker 1: man just purposely drugging fish. You know, for Florida fish 495 00:32:20,960 --> 00:32:26,520 Speaker 1: seeks local supply of viagara in his water. I don't know. 496 00:32:26,640 --> 00:32:28,720 Speaker 1: I don't think viagra was one of the things they found, 497 00:32:28,720 --> 00:32:32,680 Speaker 1: but I can imagine. Yeah, And you know, it's no 498 00:32:32,840 --> 00:32:36,840 Speaker 1: secret that different creatures in the water. It's so laughing 499 00:32:36,840 --> 00:32:39,960 Speaker 1: about the viagara idea that different creatures in the water 500 00:32:40,360 --> 00:32:47,400 Speaker 1: are already enduring um incredible hardships. Right and again, the 501 00:32:47,520 --> 00:32:50,520 Speaker 1: question so often asked by the human species is well, 502 00:32:50,560 --> 00:32:52,920 Speaker 1: what does that mean for me? What does that have 503 00:32:53,040 --> 00:32:58,160 Speaker 1: to do with me? Right? It will. The dominoes may 504 00:32:58,200 --> 00:33:03,360 Speaker 1: seem far away, but they all make the others fall. 505 00:33:03,480 --> 00:33:06,240 Speaker 1: When you think about it, it's just a matter of time. 506 00:33:06,440 --> 00:33:10,320 Speaker 1: That's how that's how ecosystems and biomas work. So for 507 00:33:10,400 --> 00:33:12,720 Speaker 1: some of us in the crowd today, it might be 508 00:33:13,520 --> 00:33:17,280 Speaker 1: you know, a laughable story kind of like, oh, hey, 509 00:33:18,040 --> 00:33:21,080 Speaker 1: that's that's extra value if I buy the bone fish. 510 00:33:21,120 --> 00:33:23,000 Speaker 1: And we hate to be the bearer of bad news, 511 00:33:23,040 --> 00:33:26,080 Speaker 1: but the bone fish, legally speaking, is catch and release 512 00:33:26,240 --> 00:33:30,520 Speaker 1: only in Florida, which means you're just gonna have to 513 00:33:30,600 --> 00:33:34,120 Speaker 1: keep buying drugs the good old fashioned way from your 514 00:33:34,120 --> 00:33:37,920 Speaker 1: shady friend of a friend. I'm kidding, that's unfair. These 515 00:33:37,920 --> 00:33:40,760 Speaker 1: are pharmaceutical drugs, so you should be getting a prescription 516 00:33:40,840 --> 00:33:43,560 Speaker 1: to obtain these. But you know that it reminds me 517 00:33:43,600 --> 00:33:46,840 Speaker 1: of Matt. Over the years, you and I have seen 518 00:33:47,120 --> 00:33:52,360 Speaker 1: multiple stories of other widespread contaminants in what would be 519 00:33:52,400 --> 00:33:56,000 Speaker 1: considered public space, like a ton of cocaine and the 520 00:33:56,040 --> 00:34:01,600 Speaker 1: water in Italy or specific Italian towns, a ton of 521 00:34:02,120 --> 00:34:08,399 Speaker 1: feces on paper currency. By the way, the last time 522 00:34:08,480 --> 00:34:13,480 Speaker 1: you touched uh paper bill in the United States, there's 523 00:34:13,520 --> 00:34:16,799 Speaker 1: a chance you were rubbing on some poop. That's why 524 00:34:16,840 --> 00:34:22,480 Speaker 1: I launder all my money. We launder all our money 525 00:34:22,520 --> 00:34:27,799 Speaker 1: through fine art and and this book we wrote help 526 00:34:27,880 --> 00:34:34,520 Speaker 1: us launder money. No no, no, no, no no, we'll see, 527 00:34:34,600 --> 00:34:37,160 Speaker 1: we'll see if if Matt and Legal let me get 528 00:34:37,200 --> 00:34:40,600 Speaker 1: away with that one. But uh, but the point of 529 00:34:40,600 --> 00:34:45,240 Speaker 1: the matter is that these sorts of things don't often 530 00:34:45,440 --> 00:34:49,839 Speaker 1: don't get examined as deeply as they should because they 531 00:34:49,880 --> 00:34:54,279 Speaker 1: may not have immediately harmful effects to people to the 532 00:34:54,320 --> 00:34:57,879 Speaker 1: what about you know, how does this matter to me? Species? Uh? 533 00:34:57,920 --> 00:35:02,719 Speaker 1: And the fact that those things are not immediately damaging 534 00:35:03,160 --> 00:35:06,560 Speaker 1: doesn't mean that they're not damaging. It doesn't mean they're benign, 535 00:35:06,840 --> 00:35:09,160 Speaker 1: nor does it mean they're neutral. It means they may 536 00:35:09,200 --> 00:35:15,959 Speaker 1: well have a danger inaggregant cumulating over time. So with this, 537 00:35:16,560 --> 00:35:19,839 Speaker 1: I am going to pause us for a word from 538 00:35:19,880 --> 00:35:23,120 Speaker 1: our sponsor. I can't wait to hear back from our 539 00:35:23,120 --> 00:35:26,319 Speaker 1: fellow conspiracy realist on Instagram. You can reach out to 540 00:35:26,360 --> 00:35:28,960 Speaker 1: me directly there if you also, if you have a 541 00:35:29,000 --> 00:35:31,200 Speaker 1: story to share with us, we'll tell you how to 542 00:35:31,200 --> 00:35:34,920 Speaker 1: get in touch with us through any number means at 543 00:35:34,920 --> 00:35:39,120 Speaker 1: the end of the show. But stay tuned because we have, 544 00:35:39,680 --> 00:35:44,080 Speaker 1: as we promised, a cavalcade of messages coming from you 545 00:35:44,400 --> 00:35:55,279 Speaker 1: right after the break and we're back personal shout out 546 00:35:55,280 --> 00:35:58,160 Speaker 1: to everyone that we're about to play here. Uh. You 547 00:35:58,239 --> 00:36:01,520 Speaker 1: have very interesting things to say and we can't wait 548 00:36:01,560 --> 00:36:04,879 Speaker 1: to share them with everyone else. Way more interesting than 549 00:36:04,920 --> 00:36:08,560 Speaker 1: the sidebar. I guess their ads or there are more 550 00:36:08,680 --> 00:36:12,359 Speaker 1: from CNN articles I'm getting from this other article I'm 551 00:36:12,360 --> 00:36:14,160 Speaker 1: looking at. I just want to let everyone know this 552 00:36:14,239 --> 00:36:16,479 Speaker 1: is the kind of important stuff that you're gonna find. 553 00:36:17,040 --> 00:36:21,080 Speaker 1: Michael B. Jordan's who's an actor, and apparently Lorie Harvey, 554 00:36:21,719 --> 00:36:23,759 Speaker 1: who's I guess. I don't know what she does. But 555 00:36:23,880 --> 00:36:27,520 Speaker 1: they split up, and according to this headline, Steve Harvey 556 00:36:27,719 --> 00:36:31,479 Speaker 1: says he's team Lorie, and I guess that's because he's 557 00:36:32,840 --> 00:36:38,040 Speaker 1: Laurie's father. I don't even I don't know. Good, good call, Steve. Sorry. 558 00:36:38,200 --> 00:36:40,480 Speaker 1: I was trying to make a joke about how stupid 559 00:36:40,520 --> 00:36:44,360 Speaker 1: the news is, but I didn't even do it. Control 560 00:36:44,480 --> 00:36:49,200 Speaker 1: his death said, uh, yes, he is Lori's father. I 561 00:36:49,280 --> 00:36:52,560 Speaker 1: don't Harvey is because I know his stand up comedy. 562 00:36:52,640 --> 00:36:56,839 Speaker 1: But you know, I'm unplugged from the celebrity stuff. Man. 563 00:36:56,920 --> 00:37:04,200 Speaker 1: I think that's a job, right, right right? Anyway, Yeah, 564 00:37:06,400 --> 00:37:09,040 Speaker 1: it hurts my head. Let's keep it at mass starvation 565 00:37:09,480 --> 00:37:13,680 Speaker 1: looming in Somalia. But who wore what to wear? Well? 566 00:37:13,719 --> 00:37:17,800 Speaker 1: But Steve Harvey, his team his daughter so great. Okay, alright, 567 00:37:17,840 --> 00:37:24,120 Speaker 1: so take take that widespread starvation. Okay, here we go. 568 00:37:24,480 --> 00:37:28,120 Speaker 1: Let's jump to a message we got from one Sean. 569 00:37:29,080 --> 00:37:31,400 Speaker 1: I'm not gonna set this up too much. Let's just 570 00:37:31,480 --> 00:37:35,000 Speaker 1: play it and respond to it. This is Sean marsh 571 00:37:35,040 --> 00:37:38,080 Speaker 1: again from Long Island. I am the U S veteran. 572 00:37:38,280 --> 00:37:44,600 Speaker 1: I served in the US during ninety one. I'm considered 573 00:37:44,640 --> 00:37:47,680 Speaker 1: a war veteran. I was in Berlin, Germany before I 574 00:37:47,760 --> 00:37:52,560 Speaker 1: took the world totally down. So um, my job I 575 00:37:52,640 --> 00:37:58,120 Speaker 1: had was actually most coding in conception with cryptologic specialists. 576 00:37:58,960 --> 00:38:03,600 Speaker 1: My title was night hotel. Back in the old days 577 00:38:03,600 --> 00:38:08,760 Speaker 1: there was a five hotels. They're called just hobbs. Anyway, 578 00:38:09,200 --> 00:38:12,520 Speaker 1: my question, really, the one I really wanted to talk 579 00:38:12,560 --> 00:38:16,440 Speaker 1: to you all about, was I listened to your episode 580 00:38:16,480 --> 00:38:21,240 Speaker 1: on mad cow disease. I am a person who unfortunately 581 00:38:22,640 --> 00:38:28,160 Speaker 1: is affected by the bad understanding of the disease. I 582 00:38:28,200 --> 00:38:31,040 Speaker 1: was told when I got out of service because I 583 00:38:31,120 --> 00:38:34,880 Speaker 1: was in Germany between eighty nine and ninety one. They 584 00:38:34,960 --> 00:38:37,920 Speaker 1: were I'll break some mad cow disease and I can 585 00:38:38,000 --> 00:38:42,719 Speaker 1: no longer ever give blood. I don't claim understand this, 586 00:38:42,880 --> 00:38:45,640 Speaker 1: since I was very proud of me to give blood 587 00:38:46,400 --> 00:38:50,080 Speaker 1: because I have a rare blood type. My blood type 588 00:38:51,040 --> 00:38:55,840 Speaker 1: is a B positive, so I think maybe negative is 589 00:38:56,280 --> 00:39:00,239 Speaker 1: the rarest, but I used to allow to give ut 590 00:39:00,680 --> 00:39:04,279 Speaker 1: before I went all those says. I understand how you 591 00:39:04,400 --> 00:39:08,080 Speaker 1: can say that I'm dangerous when you have no way 592 00:39:08,120 --> 00:39:11,000 Speaker 1: to test the mag How do it? And if I 593 00:39:11,040 --> 00:39:13,640 Speaker 1: had such a bad disease, I don't think I would 594 00:39:13,640 --> 00:39:16,560 Speaker 1: make it the one in which I've made it now. 595 00:39:17,760 --> 00:39:20,399 Speaker 1: Once again, I'm a veteran, So if there any more 596 00:39:20,480 --> 00:39:25,840 Speaker 1: information on this particular copy, I would love to hear it. First, 597 00:39:26,440 --> 00:39:30,080 Speaker 1: thank you sir for taking the time to write too 598 00:39:30,280 --> 00:39:33,319 Speaker 1: well to call us, you know, to contact us, I 599 00:39:33,320 --> 00:39:40,120 Speaker 1: should say, and uh. Secondly, we have we have a 600 00:39:40,160 --> 00:39:43,480 Speaker 1: little bit of an answer. And the answer, at least 601 00:39:43,480 --> 00:39:46,120 Speaker 1: in my mind, Matt, the answer is really one of 602 00:39:46,680 --> 00:39:50,320 Speaker 1: airing on the side of caution. Yes, do well, I 603 00:39:50,360 --> 00:39:52,400 Speaker 1: don't want, Ben, Let's just let's just say what the 604 00:39:52,440 --> 00:39:55,440 Speaker 1: answer is. I found a couple of articles in just 605 00:39:55,560 --> 00:39:59,160 Speaker 1: briefly searching about this when it comes to new tests 606 00:39:59,239 --> 00:40:02,120 Speaker 1: that have been develop lipped over the past seven years 607 00:40:02,200 --> 00:40:06,520 Speaker 1: or so, where it's it's blood screenings for mad cow 608 00:40:06,600 --> 00:40:10,960 Speaker 1: disease and crayons, things like that crux filled Jacob disease, 609 00:40:11,560 --> 00:40:14,359 Speaker 1: um several things here. So just what Ben, what have 610 00:40:14,400 --> 00:40:18,719 Speaker 1: you found? So? Yeah, the mad cow disease is the 611 00:40:19,000 --> 00:40:24,320 Speaker 1: street name, the friendly, the media friendly name for disease 612 00:40:24,440 --> 00:40:28,759 Speaker 1: that has a couple of actual names. In cows, it's 613 00:40:28,800 --> 00:40:35,400 Speaker 1: called bovine sponge ofform encephalopathy, but in humans it's called 614 00:40:35,560 --> 00:40:39,680 Speaker 1: variant Krutzfield Jacob disease, like you just described, Matt. So 615 00:40:39,719 --> 00:40:42,080 Speaker 1: it can be a little bit it can be a 616 00:40:42,080 --> 00:40:46,279 Speaker 1: little bit confusing. The symptoms are similar regardless of which 617 00:40:46,320 --> 00:40:52,560 Speaker 1: mammal is infected, and those symptoms go down to a 618 00:40:52,600 --> 00:40:57,920 Speaker 1: little thing called prions, which everyone can remember from the 619 00:40:58,520 --> 00:41:01,920 Speaker 1: excellent X Files episode Matt at Hazard. That's when you 620 00:41:01,920 --> 00:41:05,040 Speaker 1: and I both learned about this. Is that correct, absolutely? 621 00:41:05,840 --> 00:41:09,480 Speaker 1: Or was that one of the movies it was? It 622 00:41:09,600 --> 00:41:18,480 Speaker 1: was Curu. I think it's the episode Our Town. Okay, yep, yeah, okay, So, Sean. 623 00:41:19,360 --> 00:41:23,600 Speaker 1: One of the one of the most important things to 624 00:41:23,680 --> 00:41:27,880 Speaker 1: know here about Red Cross donation and how that affects 625 00:41:28,880 --> 00:41:32,400 Speaker 1: the ability to donate blood or to not be allowed 626 00:41:32,400 --> 00:41:37,479 Speaker 1: to do it, is that first, these organizations they're doing 627 00:41:38,120 --> 00:41:44,319 Speaker 1: mission critical work, humanity needs them, but they're also terrified 628 00:41:45,120 --> 00:41:49,239 Speaker 1: of being a vector for any sort of infection. Right. 629 00:41:49,320 --> 00:41:53,520 Speaker 1: The idea of someone um, for instance, having a blood 630 00:41:53,520 --> 00:41:56,719 Speaker 1: borne disease like HIV, which leads to AIDS, and then 631 00:41:56,840 --> 00:42:00,160 Speaker 1: having someone received a blood transfusion and now contract in 632 00:42:00,200 --> 00:42:03,640 Speaker 1: that disease. That is part of why they are so 633 00:42:03,960 --> 00:42:10,600 Speaker 1: risk averse, because they they are numerous successes, and all 634 00:42:10,680 --> 00:42:13,439 Speaker 1: the work that they do around the clock every year 635 00:42:13,840 --> 00:42:19,840 Speaker 1: will get ignored in favor of reporting one situation where 636 00:42:19,840 --> 00:42:23,080 Speaker 1: things go wrong. So that's kind of what that's the 637 00:42:23,120 --> 00:42:27,520 Speaker 1: scrutiny under which they labor. The second aspect of this 638 00:42:28,440 --> 00:42:33,080 Speaker 1: is that they know these prions can be communicated through 639 00:42:33,239 --> 00:42:37,520 Speaker 1: donated blood, regardless of whether or not the donor shows 640 00:42:37,719 --> 00:42:41,480 Speaker 1: any signs of disease, and they're basing this decision on 641 00:42:41,600 --> 00:42:46,400 Speaker 1: precedent not here in the US, but in the United Kingdom, 642 00:42:46,400 --> 00:42:50,880 Speaker 1: where blood transfusions gave a relatively small number of people 643 00:42:50,960 --> 00:42:53,080 Speaker 1: mad cow disease. I think it only it happened to 644 00:42:53,120 --> 00:42:55,760 Speaker 1: four people, but I don't want to say only, because 645 00:42:55,800 --> 00:42:59,719 Speaker 1: of course they contracted it. And in addition to being 646 00:42:59,800 --> 00:43:05,239 Speaker 1: risk converse, I would argue that um, there's also a 647 00:43:05,280 --> 00:43:12,839 Speaker 1: bit of the um the inertia of institutions at work here. 648 00:43:13,280 --> 00:43:16,560 Speaker 1: You know, for a long time there was a ban 649 00:43:16,920 --> 00:43:20,799 Speaker 1: on people donating blood due to their do entirely and 650 00:43:20,840 --> 00:43:26,120 Speaker 1: only to their sexual orientation, the assumption being that those people, 651 00:43:27,080 --> 00:43:32,440 Speaker 1: due to their orientation, would somehow be more likely to 652 00:43:32,480 --> 00:43:38,919 Speaker 1: transmit blood borne diseases. And this this was enormously controversial. 653 00:43:38,960 --> 00:43:42,399 Speaker 1: You remember hearing about this, right, Matt, Yeah, Ben, Ben, 654 00:43:42,440 --> 00:43:44,839 Speaker 1: I had heard that. What's really weird to me, Ben, 655 00:43:45,000 --> 00:43:47,880 Speaker 1: is that Sean in this instance just happened to be 656 00:43:47,920 --> 00:43:50,960 Speaker 1: in Germany at a time when there were several outbreaks, 657 00:43:51,719 --> 00:43:55,839 Speaker 1: and since that time, at least for a lot of 658 00:43:55,840 --> 00:43:59,120 Speaker 1: Sean's life, there's been no good way to test if 659 00:43:59,120 --> 00:44:02,480 Speaker 1: Sean actually was affected by this thing. Uh, it's just 660 00:44:02,560 --> 00:44:04,879 Speaker 1: because of where he was at that time that he 661 00:44:05,080 --> 00:44:08,600 Speaker 1: cannot give blood and he can't even I'm assuming he 662 00:44:08,640 --> 00:44:11,840 Speaker 1: can't confirm at this moment whether he has been affected 663 00:44:11,840 --> 00:44:15,799 Speaker 1: by it or not. Um, I'd want to know if 664 00:44:15,840 --> 00:44:18,120 Speaker 1: there's a way. I'm not seeing it right now, but 665 00:44:18,160 --> 00:44:21,400 Speaker 1: if there's a way for Sean specifically to get tested 666 00:44:21,760 --> 00:44:29,799 Speaker 1: for it. Unfortunately, the only current method to test for 667 00:44:30,000 --> 00:44:36,320 Speaker 1: human born mad cow disease is post mortem, perform post 668 00:44:36,320 --> 00:44:40,560 Speaker 1: mortem analysis of the brain, or you could um perform 669 00:44:40,600 --> 00:44:44,040 Speaker 1: a biopsy, but it's a it's a medical priority right 670 00:44:44,040 --> 00:44:48,280 Speaker 1: now to create a non invasive test that can detect 671 00:44:48,560 --> 00:44:53,480 Speaker 1: prions in the blood. But there is some good news, Sean, 672 00:44:53,600 --> 00:44:59,440 Speaker 1: that research is highly prioritized right now, and it's being 673 00:44:59,480 --> 00:45:04,400 Speaker 1: priorities at such a high level because the US is 674 00:45:04,520 --> 00:45:10,719 Speaker 1: encountering what vampires would call a blood crisis, well vampires 675 00:45:10,719 --> 00:45:13,759 Speaker 1: and regular humans. It's the worst blood shortage in more 676 00:45:13,800 --> 00:45:17,440 Speaker 1: than a decade. So especially people with rare blood types 677 00:45:17,480 --> 00:45:22,080 Speaker 1: like you, Sean um you, you would be prized. And 678 00:45:22,400 --> 00:45:27,200 Speaker 1: these organizations are risk averse because of the constraints that 679 00:45:27,280 --> 00:45:34,560 Speaker 1: we just described. But they're pushing. They being senators and 680 00:45:34,600 --> 00:45:39,600 Speaker 1: power structures and Congress. They're pushing for more research funding 681 00:45:40,440 --> 00:45:44,040 Speaker 1: to allow more people to give blood, and they're also 682 00:45:44,280 --> 00:45:48,719 Speaker 1: pushing for the FDA to change its policy on restricting 683 00:45:48,880 --> 00:45:54,400 Speaker 1: people from giving blood due to their orientation. And this 684 00:45:54,400 --> 00:45:57,520 Speaker 1: this is something that we should, I mean talk about 685 00:45:57,560 --> 00:46:01,640 Speaker 1: in a full episode Man blood donate a Sian plasma donation. 686 00:46:02,440 --> 00:46:06,279 Speaker 1: H We just didn't have time to hit it when 687 00:46:06,320 --> 00:46:09,040 Speaker 1: we were doing our Body Brokers episode. Well, you know 688 00:46:09,080 --> 00:46:10,719 Speaker 1: another thing, Ben, I don't want to get too far 689 00:46:10,760 --> 00:46:14,520 Speaker 1: away from that conversation. It's just Seawan's message about who 690 00:46:14,520 --> 00:46:17,640 Speaker 1: he was and what he did in some of the 691 00:46:17,840 --> 00:46:22,280 Speaker 1: Morse Code, cryptography and some of that stuff like yeah, yeah, yeah, 692 00:46:22,520 --> 00:46:23,799 Speaker 1: I want to talk about that. I want to know 693 00:46:23,840 --> 00:46:27,760 Speaker 1: more about that. That sounds. But for now, hey, Sean, 694 00:46:27,800 --> 00:46:31,200 Speaker 1: I think we're gonna we're gonna leave it there, and 695 00:46:31,480 --> 00:46:33,719 Speaker 1: you know, always feel free to call back. We want 696 00:46:33,719 --> 00:46:36,160 Speaker 1: to hear from you again, right to us. Uh, We're 697 00:46:36,200 --> 00:46:38,840 Speaker 1: gonna jump to one more, one or two more messages, 698 00:46:39,000 --> 00:46:42,400 Speaker 1: just really quickly here to get some opinions and statements. 699 00:46:42,719 --> 00:46:46,560 Speaker 1: So let's jump quickly to Jordan's. Oh and as are 700 00:46:46,560 --> 00:46:49,839 Speaker 1: really on Jordan's one last note, Sean, thanks for being 701 00:46:49,840 --> 00:46:52,520 Speaker 1: one of the good guys man. Um more people should 702 00:46:52,520 --> 00:46:55,560 Speaker 1: donate blood. I don't want to even make a vampire joke. 703 00:46:56,120 --> 00:47:04,400 Speaker 1: I can't have my blood. That's you know. Here we go, 704 00:47:04,520 --> 00:47:10,080 Speaker 1: here's j Hi then Matt, now all this is Jordan's um. 705 00:47:10,120 --> 00:47:13,040 Speaker 1: I have been a long time listener, first time caller, 706 00:47:13,680 --> 00:47:18,600 Speaker 1: and I was listening to your podcast episode on wealth, 707 00:47:18,920 --> 00:47:23,160 Speaker 1: the Wealthy and Taxes, and I wanted to pose mybe 708 00:47:23,239 --> 00:47:28,120 Speaker 1: a doubles advocate. Uh idea, although I agree with the 709 00:47:28,160 --> 00:47:30,759 Speaker 1: whole CEOs and executives and that sort of seeing being 710 00:47:30,760 --> 00:47:34,720 Speaker 1: able to kind of this scave those high tax brackets. 711 00:47:34,800 --> 00:47:38,160 Speaker 1: They should be pain I wanted to mention. I think 712 00:47:38,280 --> 00:47:39,800 Speaker 1: then it was your friend who has to set in 713 00:47:39,880 --> 00:47:42,359 Speaker 1: rental properties, and I want to just think I wanted 714 00:47:42,440 --> 00:47:46,560 Speaker 1: you all to think about like generational wealth myself. I'm sorry. One. 715 00:47:46,640 --> 00:47:49,880 Speaker 1: I have a have a two year old daughter, and 716 00:47:49,960 --> 00:47:53,279 Speaker 1: we started in our early twenties. You know, we bought 717 00:47:53,280 --> 00:47:55,160 Speaker 1: our house, we worked to get out of sta and 718 00:47:55,160 --> 00:47:57,720 Speaker 1: all that sort of thing, and we're working to build 719 00:47:57,719 --> 00:47:59,600 Speaker 1: her wealth because I know it's not going to happen 720 00:47:59,640 --> 00:48:02,160 Speaker 1: in my in my lifetime, but maybe by the time 721 00:48:02,160 --> 00:48:04,560 Speaker 1: I'm sixty years seventy will be a good chunk of 722 00:48:04,560 --> 00:48:07,160 Speaker 1: of generational wealth for her. But I don't want her 723 00:48:07,160 --> 00:48:09,600 Speaker 1: to have to pay taxes on it. Like I get 724 00:48:09,600 --> 00:48:11,360 Speaker 1: the tax rates. When I get that, maybe some of 725 00:48:11,360 --> 00:48:16,160 Speaker 1: the wealthy are a little bit crooked, But um, I've 726 00:48:16,160 --> 00:48:18,520 Speaker 1: already paid taxes over all the stuff that I've thought. 727 00:48:18,520 --> 00:48:21,520 Speaker 1: I've already paid taxes on my income, on my houses, 728 00:48:22,040 --> 00:48:24,520 Speaker 1: all that thurs thing. I don't think it's fair for 729 00:48:24,640 --> 00:48:29,719 Speaker 1: my daughter to have to pay taxes again on that, um, 730 00:48:29,840 --> 00:48:32,800 Speaker 1: especially as an inheritance tax or the best tax of 731 00:48:32,840 --> 00:48:35,319 Speaker 1: you guys called it. So I'd love to hear your 732 00:48:35,320 --> 00:48:39,880 Speaker 1: hands a box on that, because although corporations and companies 733 00:48:39,920 --> 00:48:43,080 Speaker 1: are very corrupt in those cases, I don't think I'm 734 00:48:43,120 --> 00:48:46,680 Speaker 1: corrupt and I won't just want to provide uh last 735 00:48:46,680 --> 00:48:49,040 Speaker 1: thing where to see from my daughter. So I love 736 00:48:49,080 --> 00:48:51,319 Speaker 1: the show, Love you guys, can't wait here for me. 737 00:48:51,920 --> 00:48:54,560 Speaker 1: Thank you, Jordan. I'm I'm so glad someone called in 738 00:48:55,000 --> 00:48:57,960 Speaker 1: for this mat because it's true. We have to be 739 00:48:58,080 --> 00:49:02,680 Speaker 1: very clear that when uh, we're talking about wealthy people 740 00:49:03,040 --> 00:49:06,800 Speaker 1: rigging the game, we're talking about a level of wealth 741 00:49:07,120 --> 00:49:11,880 Speaker 1: that few are the one percent of people across the 742 00:49:11,920 --> 00:49:16,200 Speaker 1: span of human history have ever attained. And Jordan makes 743 00:49:16,239 --> 00:49:20,760 Speaker 1: such a good point. I I left her a message. 744 00:49:20,840 --> 00:49:23,440 Speaker 1: I didn't get to actually talk to her, but it 745 00:49:23,560 --> 00:49:27,120 Speaker 1: really did make me think about my son and what 746 00:49:27,120 --> 00:49:28,680 Speaker 1: what do I want to do? What I what I 747 00:49:28,719 --> 00:49:30,719 Speaker 1: want to provide for him? And will I be able 748 00:49:30,760 --> 00:49:33,920 Speaker 1: to do that ever? And if I do get you know, 749 00:49:33,920 --> 00:49:37,560 Speaker 1: when I'm sixty or seventy, if I make it that far, like, 750 00:49:37,600 --> 00:49:40,080 Speaker 1: what does he actually get? And what is the government 751 00:49:41,040 --> 00:49:43,600 Speaker 1: get out of that? You know what it's a taking 752 00:49:44,920 --> 00:49:49,080 Speaker 1: because unless you attain you know, a very very very 753 00:49:50,040 --> 00:49:56,439 Speaker 1: um rarefied and threshold of success again one the very 754 00:49:56,480 --> 00:49:59,680 Speaker 1: few people can attain by design. By the way, then 755 00:50:00,120 --> 00:50:06,600 Speaker 1: you do still have likelihood of your government wherever you live, 756 00:50:06,800 --> 00:50:09,680 Speaker 1: taking a chunk out of it, and part of that, 757 00:50:10,200 --> 00:50:15,960 Speaker 1: arguably it could be by design to help filter to 758 00:50:16,080 --> 00:50:21,200 Speaker 1: run a scrimmage line, preventing people from accumulating more intergenerational wealth. 759 00:50:21,640 --> 00:50:24,920 Speaker 1: It's it's a fascinating subject, and maybe it's a topic 760 00:50:25,200 --> 00:50:28,839 Speaker 1: for an episode in the future. But Jordan's I, like Matt, 761 00:50:28,920 --> 00:50:34,840 Speaker 1: I tremendously appreciate that point. And you know, here in 762 00:50:34,880 --> 00:50:39,080 Speaker 1: the States especially, there are a lot of people who 763 00:50:39,120 --> 00:50:43,200 Speaker 1: would look at someone who has, you know, who has 764 00:50:43,239 --> 00:50:49,120 Speaker 1: some assets and say, oh, that person's rich. But you know, 765 00:50:50,000 --> 00:50:54,839 Speaker 1: like Chris Rock said, there's a difference between rich and wealthy, right, 766 00:50:54,880 --> 00:50:57,760 Speaker 1: and it's important. And you know, most of those people, 767 00:50:57,800 --> 00:51:00,760 Speaker 1: by the way, our own, our own friends and family, 768 00:51:01,040 --> 00:51:05,560 Speaker 1: don't consider themselves rich. They're still busting their humps every day, 769 00:51:05,719 --> 00:51:08,960 Speaker 1: usually for their kids. Uh. And I don't know, Matt, 770 00:51:09,000 --> 00:51:11,440 Speaker 1: you can probably speak to it more eloquently than me. 771 00:51:11,560 --> 00:51:15,160 Speaker 1: But yeah, I am really glad that Jordan reached out 772 00:51:15,200 --> 00:51:18,120 Speaker 1: to us here. Thank you, seriously, Jordans for for calling 773 00:51:18,160 --> 00:51:19,799 Speaker 1: and give me us with that perspective, let's jump to 774 00:51:19,840 --> 00:51:21,960 Speaker 1: one last message and then we'll be out of here, 775 00:51:23,200 --> 00:51:27,799 Speaker 1: because at this point most of you are probably asleep. 776 00:51:28,600 --> 00:51:34,319 Speaker 1: We're still driving. Okay, here we go. Hello. My name 777 00:51:34,400 --> 00:51:37,720 Speaker 1: is Becca. Um, I've heard I can't remember what episode 778 00:51:37,719 --> 00:51:43,520 Speaker 1: it was, but you guys said something about whoever's driving. Oh, 779 00:51:43,560 --> 00:51:46,600 Speaker 1: I bet somebody listens to this when they can't fall asleep, 780 00:51:47,120 --> 00:51:49,080 Speaker 1: and somebody made a joke like, oh, I can't fall 781 00:51:49,080 --> 00:51:51,160 Speaker 1: asleep with all those guys, and I wanted to let 782 00:51:51,200 --> 00:51:54,920 Speaker 1: you know that, Um, one of those people does exist, 783 00:51:54,960 --> 00:51:57,600 Speaker 1: and it's me. I cannot fall asleep without you guys. 784 00:51:58,120 --> 00:52:00,759 Speaker 1: I listened to an episode every Not Out of My Life, 785 00:52:00,840 --> 00:52:03,680 Speaker 1: and I set the timer on my Spotify to end 786 00:52:03,680 --> 00:52:06,319 Speaker 1: of the episode, and a lot of times I get 787 00:52:06,400 --> 00:52:08,160 Speaker 1: upset that I didn't get to hear the rest, so 788 00:52:08,239 --> 00:52:09,920 Speaker 1: I just have to listen to it over and over 789 00:52:09,920 --> 00:52:13,759 Speaker 1: and over until eventually I finished the episode. Um, but yeah, 790 00:52:13,840 --> 00:52:16,480 Speaker 1: I want to let you know we exist and I 791 00:52:16,520 --> 00:52:19,800 Speaker 1: can't think about you guys. You guys are my favorite podcast. 792 00:52:19,880 --> 00:52:23,040 Speaker 1: I also can't drive about you guys. So thank you 793 00:52:23,120 --> 00:52:28,560 Speaker 1: for making the podcasts. Oh wow, thank you. Dangerous Dangerous 794 00:52:28,560 --> 00:52:32,520 Speaker 1: Combination Becca, if you if you associate us with sleeping, 795 00:52:32,840 --> 00:52:35,920 Speaker 1: but then you're also driving whilst listening to the thing 796 00:52:35,960 --> 00:52:39,520 Speaker 1: you associate with sleeping, I hope you're I don't know, 797 00:52:39,600 --> 00:52:43,279 Speaker 1: consuming caffeine or something while you're driving too, or put 798 00:52:43,800 --> 00:52:48,839 Speaker 1: or put us as the first playlist in your autonomous car. 799 00:52:49,480 --> 00:52:53,320 Speaker 1: Uh seriously, Bega, thank you so much. I I've joked 800 00:52:53,320 --> 00:52:56,560 Speaker 1: about this since I read the reviews where I think 801 00:52:56,560 --> 00:52:58,719 Speaker 1: I'm the one who mentioned this now where there were 802 00:52:58,719 --> 00:53:01,440 Speaker 1: people who would say I love this show. I I 803 00:53:01,480 --> 00:53:06,960 Speaker 1: can't go to sleep without it. And I think that's great, honestly, 804 00:53:07,080 --> 00:53:11,239 Speaker 1: because a lot our individual lives are always shaped by 805 00:53:11,680 --> 00:53:14,480 Speaker 1: rituals of different sorts. I have a lot. I know 806 00:53:14,560 --> 00:53:18,080 Speaker 1: that you have several met and and if we are 807 00:53:18,280 --> 00:53:22,000 Speaker 1: part of your life in that way, then that's awesome. 808 00:53:22,600 --> 00:53:26,960 Speaker 1: Thank you. You know, um, I wonder what I wonder 809 00:53:27,200 --> 00:53:30,400 Speaker 1: when we're going to do that a SMR episode. I 810 00:53:30,400 --> 00:53:32,400 Speaker 1: I don't know we should, but I am going to 811 00:53:32,480 --> 00:53:37,560 Speaker 1: start putting secret messages in to this like every episode 812 00:53:37,560 --> 00:53:39,560 Speaker 1: from now on, They're going to be secret messages for 813 00:53:39,640 --> 00:53:42,800 Speaker 1: people right towards the end here who are falling asleep, 814 00:53:43,719 --> 00:53:46,960 Speaker 1: and it's gonna be like it's gonna be dream inception 815 00:53:47,040 --> 00:53:49,879 Speaker 1: infection kind of stuff. Oh, it's going to be good. 816 00:53:50,440 --> 00:53:53,719 Speaker 1: Can I team up with you on that? Yeah, we're 817 00:53:53,760 --> 00:53:58,920 Speaker 1: doing it right now. We are the Blue Door, the 818 00:53:59,040 --> 00:54:06,880 Speaker 1: Blue Door, all right. And with that, thank you so 819 00:54:06,960 --> 00:54:10,239 Speaker 1: much to everybody who's been calling in. Again. As Ben said, 820 00:54:10,239 --> 00:54:13,640 Speaker 1: we're going through the voicemails. Were about halfway through May. 821 00:54:13,680 --> 00:54:17,040 Speaker 1: Almost there. Uh. We're gonna keep doing that and we'll 822 00:54:17,040 --> 00:54:18,920 Speaker 1: be calling you back and putting you in more of 823 00:54:18,960 --> 00:54:22,080 Speaker 1: these episodes. Thank you for reaching out to us in 824 00:54:22,120 --> 00:54:24,600 Speaker 1: every way that you possibly can. Because you've been doing it, 825 00:54:24,680 --> 00:54:28,640 Speaker 1: we appreciate it. We can't thank you enough, but we 826 00:54:28,719 --> 00:54:36,080 Speaker 1: will try so. Thank you. Sean Jordan's Becca Taylor. And look, 827 00:54:36,400 --> 00:54:39,720 Speaker 1: if you're listening, if we talked about the fish on Instagram, 828 00:54:39,760 --> 00:54:42,080 Speaker 1: I feel so bad and I only have like three 829 00:54:42,120 --> 00:54:45,759 Speaker 1: feelings a year. Reach out. Let me let me make 830 00:54:45,800 --> 00:54:52,080 Speaker 1: this right. We try to be easy to find on line. Uh, Matt, 831 00:54:52,160 --> 00:54:54,440 Speaker 1: let's see, we got the Facebook, we got the Twitter. 832 00:54:54,719 --> 00:54:58,760 Speaker 1: That's not enough. We got the the YouTube's the Instagram's 833 00:54:59,160 --> 00:55:04,640 Speaker 1: conspiracy stuff is some derivation thereof all across all across 834 00:55:04,719 --> 00:55:08,319 Speaker 1: your inter tubes. But wait, you might be saying I've 835 00:55:08,320 --> 00:55:12,120 Speaker 1: been eating all these fish too high right now to 836 00:55:12,160 --> 00:55:15,439 Speaker 1: hop on social media, that's like a permanent record thing. 837 00:55:16,360 --> 00:55:21,319 Speaker 1: Can't I just give you guys a call? You absolutely can? Yes, 838 00:55:23,760 --> 00:55:29,040 Speaker 1: is one sorry you are you awake? Y? No? Okay, 839 00:55:29,120 --> 00:55:32,680 Speaker 1: it's one eight three three std w y t K. 840 00:55:33,280 --> 00:55:35,480 Speaker 1: When you call in, give yourself a cool nickname. We 841 00:55:35,520 --> 00:55:37,279 Speaker 1: don't care what it is. We're excited to hear it. 842 00:55:37,640 --> 00:55:39,239 Speaker 1: Let us know if we can use your voice and 843 00:55:39,320 --> 00:55:42,080 Speaker 1: message on the air. You've got three minutes. Tell us 844 00:55:42,120 --> 00:55:45,040 Speaker 1: anything you'd like, respond to anything we We just want 845 00:55:45,080 --> 00:55:47,560 Speaker 1: to know. We want to know your story. If you've 846 00:55:47,600 --> 00:55:49,960 Speaker 1: got more to say than can fit in that three minutes, 847 00:55:49,960 --> 00:55:52,800 Speaker 1: why not instead send us a good old fashioned email. 848 00:55:52,960 --> 00:56:16,080 Speaker 1: We are conspiracy at iHeart radio dot com. Stuff they 849 00:56:16,120 --> 00:56:18,000 Speaker 1: don't want you to know is a production of I 850 00:56:18,160 --> 00:56:21,239 Speaker 1: heart Radio. For more podcasts from my heart Radio, visit 851 00:56:21,280 --> 00:56:24,080 Speaker 1: the i heart Radio app, Apple Podcasts, or wherever you 852 00:56:24,080 --> 00:56:25,240 Speaker 1: listen to your favorite shows.