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 00:00:09,160 --> 00:00:12,039 Speaker 1: learn the stuff they don't want you to know. A 4 00:00:12,200 --> 00:00:25,800 Speaker 1: production of iHeartRadio. Welcome back to the show. My name 5 00:00:25,880 --> 00:00:29,000 Speaker 1: is Matt, my name is Null. They call me Ben. 6 00:00:29,080 --> 00:00:33,800 Speaker 1: We're joined as always with our superproducer Ball, mission controlled decads. 7 00:00:33,880 --> 00:00:37,360 Speaker 1: Most importantly, you are you. You are here, and that 8 00:00:37,400 --> 00:00:40,919 Speaker 1: makes this the stuff they don't want you to know. 9 00:00:41,360 --> 00:00:45,440 Speaker 1: Thank you as always, fellow conspiracy realist for tuning in. 10 00:00:45,920 --> 00:00:49,559 Speaker 1: We are going to talk about, you know, on our 11 00:00:49,600 --> 00:00:53,720 Speaker 1: weekly Strange News segment. We typically want to find things 12 00:00:53,760 --> 00:00:57,320 Speaker 1: that might be beneath the fold. But every so often, 13 00:00:58,040 --> 00:01:00,960 Speaker 1: and you'll see why I've fold. Is it kind of 14 00:01:01,000 --> 00:01:03,760 Speaker 1: a toilet humor joke in a minute, But every every 15 00:01:03,800 --> 00:01:07,640 Speaker 1: so often there are stories that are so big that 16 00:01:07,720 --> 00:01:10,520 Speaker 1: they need to be here because even if mass media 17 00:01:10,600 --> 00:01:15,360 Speaker 1: is covering them, they remain strange news. We're going to uh, 18 00:01:15,800 --> 00:01:18,880 Speaker 1: We're going to give you some uh. We're going to 19 00:01:18,959 --> 00:01:23,800 Speaker 1: give you some disturbing stuff about my home state of Tennessee, 20 00:01:24,200 --> 00:01:27,000 Speaker 1: which is never the news for a good reason. We're 21 00:01:27,040 --> 00:01:29,600 Speaker 1: going to talk about We're going to talk about something 22 00:01:29,640 --> 00:01:34,640 Speaker 1: that directly affects everybody listening to this show, as long 23 00:01:34,680 --> 00:01:37,720 Speaker 1: as you're a human being. And then before we do 24 00:01:37,840 --> 00:01:40,720 Speaker 1: any of that, try not dispoil too much. Before we 25 00:01:40,720 --> 00:01:43,840 Speaker 1: do any of that, we've got to talk about this 26 00:01:44,280 --> 00:01:48,760 Speaker 1: bank collapse. Weird, a weird story. So Matt Noel and 27 00:01:48,800 --> 00:01:53,440 Speaker 1: I are on the road quite recently and we're in 28 00:01:53,480 --> 00:01:57,320 Speaker 1: this you know, we're busy, we're doing work stuff. And 29 00:01:57,720 --> 00:02:03,040 Speaker 1: while we're abroad, well while we're outside of Atlanta. Right right, 30 00:02:03,640 --> 00:02:08,160 Speaker 1: while we're outside of Atlanta, we learn over in California, 31 00:02:08,320 --> 00:02:13,200 Speaker 1: the second largest bank collapse in US history occurred, and 32 00:02:13,280 --> 00:02:18,360 Speaker 1: it happened very quickly. This is a bank called Silicon 33 00:02:18,720 --> 00:02:22,040 Speaker 1: Valley Bank. The odds are very high that if you 34 00:02:22,120 --> 00:02:25,760 Speaker 1: are listening to this show, you yourself were not a 35 00:02:25,800 --> 00:02:30,240 Speaker 1: customer of this bank. That it's quite possible that you 36 00:02:30,280 --> 00:02:33,120 Speaker 1: may be listening if you are see the venture capital 37 00:02:33,200 --> 00:02:36,519 Speaker 1: boys don't listen to us, the VC the angel investors. 38 00:02:36,680 --> 00:02:40,040 Speaker 1: I don't know, I don't know if we're each other's demographics. 39 00:02:40,040 --> 00:02:42,919 Speaker 1: But if you are here, welcome. I imagine you're quite 40 00:02:42,960 --> 00:02:46,240 Speaker 1: busy of late, and thank you for taking the time 41 00:02:46,280 --> 00:02:51,520 Speaker 1: to tune in. So when we heard about this. I 42 00:02:51,560 --> 00:02:54,960 Speaker 1: think for all three of us, it reminded us of 43 00:02:56,480 --> 00:03:01,079 Speaker 1: a two thousand and eight funny story, which was the 44 00:03:01,240 --> 00:03:07,200 Speaker 1: first largest bank collapse in US history. In this banking 45 00:03:07,240 --> 00:03:11,040 Speaker 1: crisis triggered the two thousand and eight recession, a lot 46 00:03:11,040 --> 00:03:14,840 Speaker 1: of bad actors got away with a lot of money. 47 00:03:15,200 --> 00:03:20,639 Speaker 1: Uncle Sam used taxpayer dollars to bail out the wealthy. 48 00:03:21,240 --> 00:03:24,240 Speaker 1: And you know to some degree that people who caused 49 00:03:24,600 --> 00:03:29,040 Speaker 1: the problem. A guy named Barack Obama used to be president, 50 00:03:29,120 --> 00:03:33,280 Speaker 1: may recall him from that. He passed something called the 51 00:03:33,360 --> 00:03:35,640 Speaker 1: Dodd Frank Act, which we don't have to get into. 52 00:03:35,720 --> 00:03:39,360 Speaker 1: What you need to know is that this gave banks 53 00:03:39,360 --> 00:03:46,000 Speaker 1: stricter rules, right, more sets of if then basically, like 54 00:03:46,200 --> 00:03:50,080 Speaker 1: if you have a bunch of people putting in a 55 00:03:50,120 --> 00:03:52,680 Speaker 1: bunch of money, you have to be responsible with it. 56 00:03:52,800 --> 00:03:56,200 Speaker 1: Like obviously, banks don't just keep your money. They use 57 00:03:56,480 --> 00:03:59,960 Speaker 1: your money to make money for themselves. That's why interest 58 00:04:00,160 --> 00:04:06,080 Speaker 1: rates at most banks are laughably low to the individual depositor. 59 00:04:06,440 --> 00:04:10,560 Speaker 1: It's because there's a vigoroush occurring between the time you 60 00:04:10,600 --> 00:04:12,680 Speaker 1: put the money in and get the money. Yet well, 61 00:04:12,680 --> 00:04:15,320 Speaker 1: because a lot of the banks are publicly traded, so 62 00:04:15,760 --> 00:04:20,240 Speaker 1: really they're making money for their shareholders, right, yes, yeah, 63 00:04:20,279 --> 00:04:24,880 Speaker 1: one hundred percent. That's the that's the other part of 64 00:04:24,960 --> 00:04:29,479 Speaker 1: the of the sigel, right, that's that's the other part 65 00:04:29,520 --> 00:04:31,680 Speaker 1: of the equation. This is going to get very black 66 00:04:31,720 --> 00:04:35,960 Speaker 1: Monday murders very quickly. So all right, So the United 67 00:04:36,000 --> 00:04:43,120 Speaker 1: States financial ecosystem to the bed in OA and okay, 68 00:04:43,320 --> 00:04:45,440 Speaker 1: it's less like they shot the bed and more like 69 00:04:45,760 --> 00:04:49,560 Speaker 1: they found the poop in O eight and uh. And 70 00:04:49,640 --> 00:04:52,880 Speaker 1: so the president at the time passes this Dodd Frank Act. 71 00:04:53,040 --> 00:04:56,479 Speaker 1: It says, let's have rules that apply to all banks, 72 00:04:56,560 --> 00:04:59,159 Speaker 1: not just the big ones, but the regional ones as well. 73 00:04:59,600 --> 00:05:02,679 Speaker 1: And then fast forward there's a different president, as tends 74 00:05:02,680 --> 00:05:05,960 Speaker 1: to happen in the US, and this guy, Donald Trump, 75 00:05:06,040 --> 00:05:08,840 Speaker 1: you may recognize him from home alone too, as well 76 00:05:08,880 --> 00:05:10,720 Speaker 1: as being the President of the United States. At one 77 00:05:10,760 --> 00:05:15,560 Speaker 1: point his administration rolls back some of these rules. They say, 78 00:05:15,600 --> 00:05:20,320 Speaker 1: there's too much bureaucracy, right, too many paper pushers getting 79 00:05:20,360 --> 00:05:23,240 Speaker 1: in the way of what makes America great. And this 80 00:05:23,360 --> 00:05:29,480 Speaker 1: makes a weird situation. There's inequality between banks. Big big 81 00:05:29,520 --> 00:05:32,920 Speaker 1: banks like Chase or Bank of American so on. They 82 00:05:32,960 --> 00:05:35,560 Speaker 1: still have strict rules. They've got a lot of traffic 83 00:05:35,600 --> 00:05:40,160 Speaker 1: signs on the interstate of finance. But the smaller banks, 84 00:05:40,160 --> 00:05:42,960 Speaker 1: those who have less than two hundred and fifty billion 85 00:05:43,000 --> 00:05:46,520 Speaker 1: dollars in assets, they're a little less buttoned up, you 86 00:05:46,520 --> 00:05:48,720 Speaker 1: know what I mean. They can improvise a little. They 87 00:05:48,760 --> 00:05:51,160 Speaker 1: could do some jazz riffs, and they sure as he'll 88 00:05:51,200 --> 00:05:54,720 Speaker 1: do so. Two years later, and I'm gonna curse a 89 00:05:54,760 --> 00:05:57,880 Speaker 1: lot on this one, sorry, folks. Two years later, things 90 00:05:57,920 --> 00:06:02,480 Speaker 1: are looking dope. As for Akin Valley Bank, you know 91 00:06:02,600 --> 00:06:06,440 Speaker 1: they've got they're flooded. It's the pandemic, right, They're flooded 92 00:06:06,480 --> 00:06:10,719 Speaker 1: with all this cash from these venture capitalists, right from 93 00:06:10,760 --> 00:06:17,560 Speaker 1: these venture capitalists via startups businesses overwhelmingly in the tech sector. 94 00:06:17,839 --> 00:06:21,719 Speaker 1: The deposits to this bank in California, they triple in 95 00:06:21,839 --> 00:06:26,480 Speaker 1: just two years, from like end of twenty nineteen ish 96 00:06:26,520 --> 00:06:32,159 Speaker 1: so on. They get one hundred and eighty nine billion 97 00:06:32,200 --> 00:06:36,800 Speaker 1: dollars in just two years, And in twenty twenty one, 98 00:06:37,600 --> 00:06:41,840 Speaker 1: SVB looks around and says, this is our most profitable 99 00:06:42,160 --> 00:06:46,640 Speaker 1: year ever since all the way back when they started 100 00:06:46,680 --> 00:06:49,960 Speaker 1: in nineteen eighty three. Things are looking good. But they 101 00:06:49,960 --> 00:06:51,960 Speaker 1: are a bank. They got to take the cash and 102 00:06:52,040 --> 00:06:54,440 Speaker 1: put it to work. This all makes sense so far, right, 103 00:06:54,440 --> 00:06:58,960 Speaker 1: there's nothing conspiratorial. Yeah, okay, So, like we said, banks 104 00:06:59,040 --> 00:07:03,040 Speaker 1: take your money and they put it to work, and 105 00:07:03,080 --> 00:07:06,800 Speaker 1: then they give you a tiny slice of the pizza 106 00:07:07,000 --> 00:07:09,840 Speaker 1: of money that they have made off your deposits, right, 107 00:07:09,920 --> 00:07:12,480 Speaker 1: and you're supposed to be grateful for that and say, oh, 108 00:07:12,480 --> 00:07:15,080 Speaker 1: thank you, even though it doesn't keep up with inflation. 109 00:07:15,200 --> 00:07:18,440 Speaker 1: The whole other bag of badgers. SVB does what banks 110 00:07:18,480 --> 00:07:23,280 Speaker 1: are supposed to do. They try to make money by 111 00:07:23,400 --> 00:07:28,560 Speaker 1: investing the deposits of their customers, and so they buy 112 00:07:28,920 --> 00:07:32,800 Speaker 1: billions and billions of dollars worth of things that are 113 00:07:32,840 --> 00:07:36,880 Speaker 1: considered safe investments at the time. US Treasury bonds, right, 114 00:07:37,080 --> 00:07:42,360 Speaker 1: government backed mortgage securities. In under a year, their portfolio 115 00:07:42,440 --> 00:07:46,840 Speaker 1: and this stuff alone rises by one hundred billion dollars. 116 00:07:46,840 --> 00:07:50,840 Speaker 1: But then what also rises are things called interest rates, 117 00:07:50,960 --> 00:07:54,560 Speaker 1: which Uncle Sam sets. This is bad if you are 118 00:07:54,680 --> 00:07:59,320 Speaker 1: this bank, because when interest rates rise the stuff that 119 00:07:59,360 --> 00:08:03,600 Speaker 1: you had bonds, their price goes down, which means they're 120 00:08:03,600 --> 00:08:07,320 Speaker 1: worth less than they were when you bought them, which means, 121 00:08:07,320 --> 00:08:11,960 Speaker 1: in the case of SVB, very soon they're out seventeen 122 00:08:12,560 --> 00:08:16,080 Speaker 1: billion dollars. This is the germ that leads to the 123 00:08:16,560 --> 00:08:22,920 Speaker 1: infection that ultimately kills this bank. And then at the 124 00:08:23,040 --> 00:08:28,480 Speaker 1: same time, people are depositing less money. New deposits shrink 125 00:08:28,720 --> 00:08:33,520 Speaker 1: from March to December. New deposits in twenty twenty two 126 00:08:33,600 --> 00:08:38,560 Speaker 1: fall by thirty billion dollars. There's another problem. There's the 127 00:08:38,600 --> 00:08:41,920 Speaker 1: third problem, A ton of the money that they have. Again, 128 00:08:41,960 --> 00:08:44,520 Speaker 1: we're cursing a lot in the beginning. The vast majority 129 00:08:44,679 --> 00:08:48,600 Speaker 1: it's held in just thirty seven thousand accounts, and each 130 00:08:48,600 --> 00:08:54,640 Speaker 1: of these accounts holds way more than the ensured FDIC amount, 131 00:08:54,640 --> 00:08:57,320 Speaker 1: which is two hundred and fifty thousand dollars. We were 132 00:08:57,360 --> 00:09:02,079 Speaker 1: talking about this on the road, right you know, most 133 00:09:02,080 --> 00:09:04,040 Speaker 1: people I think the three of us were saying that 134 00:09:04,080 --> 00:09:06,800 Speaker 1: we were talking to like we're in an uber or something, 135 00:09:07,280 --> 00:09:11,160 Speaker 1: and we're talking and we're all like, well, wait, how 136 00:09:11,160 --> 00:09:14,440 Speaker 1: many people do have more than two hundred and fifty 137 00:09:14,480 --> 00:09:20,600 Speaker 1: thousand dollars in a bank account? Investors, companies, and just 138 00:09:22,080 --> 00:09:23,880 Speaker 1: I don't know, people who are rich as hell, I 139 00:09:23,960 --> 00:09:26,600 Speaker 1: guess so. Yeah, I mean, it seems like a problem 140 00:09:26,640 --> 00:09:29,040 Speaker 1: that doesn't apply to the vast majority of people in 141 00:09:29,080 --> 00:09:33,520 Speaker 1: the United States, but people will still be affected. So 142 00:09:34,640 --> 00:09:36,400 Speaker 1: I always thought This is kind of like that old 143 00:09:36,440 --> 00:09:39,880 Speaker 1: game folks play in pools, Marco polo. You don't want 144 00:09:39,920 --> 00:09:43,120 Speaker 1: to be the fish out of water. And if something 145 00:09:43,200 --> 00:09:45,800 Speaker 1: goes wrong with a bank where you hold your money 146 00:09:46,240 --> 00:09:48,080 Speaker 1: and it's about and you have more than two hundred 147 00:09:48,080 --> 00:09:50,240 Speaker 1: and fifty grand in there, then you are the fish 148 00:09:50,240 --> 00:09:53,400 Speaker 1: out of water, my friend. And the ordinary rules of 149 00:09:53,440 --> 00:09:57,400 Speaker 1: the road say that you will not get a dollar 150 00:09:58,280 --> 00:10:03,040 Speaker 1: over that two hundred and fifty thou amount. So those 151 00:10:03,080 --> 00:10:07,920 Speaker 1: are these three big problems. Fast forward March eighth, earlier 152 00:10:07,960 --> 00:10:12,880 Speaker 1: this month. In fact, a regulatory filing reveals a big secret. 153 00:10:13,400 --> 00:10:18,800 Speaker 1: SVB sold a huge chunk of those earlier securities, those 154 00:10:18,840 --> 00:10:22,760 Speaker 1: financial instruments and investments, at a loss of about one 155 00:10:22,840 --> 00:10:27,640 Speaker 1: point eight billion dollars to cover that decline in deposits, 156 00:10:27,760 --> 00:10:30,800 Speaker 1: or just try to get themselves some space, some breathing room. 157 00:10:31,040 --> 00:10:34,600 Speaker 1: But something is in the wind. The investors picture them 158 00:10:34,600 --> 00:10:38,920 Speaker 1: like a herd of antelope. Someone smelled a predator, right, 159 00:10:39,200 --> 00:10:43,000 Speaker 1: Someone sends danger, and investors are very kind of hive 160 00:10:43,120 --> 00:10:46,960 Speaker 1: mind ish folk. So if one person gets a bad vibe, 161 00:10:47,520 --> 00:10:52,160 Speaker 1: everybody gets a bad vibe and SVB stock drops as 162 00:10:52,200 --> 00:10:54,559 Speaker 1: a result. It doesn't plumb, it quite yet, but it's 163 00:10:54,559 --> 00:11:00,559 Speaker 1: a precipitous drop. And then another bank, silver Gate, announces 164 00:11:00,600 --> 00:11:03,559 Speaker 1: they're going to voluntarily shut their doors, they're going to 165 00:11:03,600 --> 00:11:06,920 Speaker 1: return all the deposits, they're gonna liquidate their stuff. They're 166 00:11:06,920 --> 00:11:10,080 Speaker 1: out the game. Um, what do we know about Silvergate? 167 00:11:10,840 --> 00:11:14,680 Speaker 1: Silvergate was primarily in the business of crypto, so all 168 00:11:14,800 --> 00:11:19,160 Speaker 1: kinds of different interested parties that were in that game 169 00:11:19,559 --> 00:11:22,000 Speaker 1: and trying to you know, make a profit off of 170 00:11:22,720 --> 00:11:26,280 Speaker 1: using cryptocurrencies in some way, right, man, That's like when 171 00:11:26,320 --> 00:11:28,839 Speaker 1: you think about NFTs things like that, when you think 172 00:11:28,880 --> 00:11:32,880 Speaker 1: about any blockchain companies. That's my understanding. Lease is that 173 00:11:33,240 --> 00:11:36,600 Speaker 1: what you guys understand. Again, the intricacies of it, what 174 00:11:36,640 --> 00:11:40,080 Speaker 1: they do exactly, I'm not as versed on, but it is, Yeah, 175 00:11:40,120 --> 00:11:44,160 Speaker 1: mainly I think a crypto situation, whereas Silicon Valley Bank 176 00:11:44,480 --> 00:11:49,000 Speaker 1: also holds crypto. Right in addition to you know, regular funds, 177 00:11:49,040 --> 00:11:52,240 Speaker 1: regular more traditional types of investments, they're more yeah, like 178 00:11:52,400 --> 00:12:00,559 Speaker 1: their their genre is focusing on tech tech stars, angel, yeah, 179 00:12:00,559 --> 00:12:04,800 Speaker 1: which would be venture capital, angel investors, and everybody's having 180 00:12:04,840 --> 00:12:07,040 Speaker 1: a good time at those kind of parties till they're not. 181 00:12:07,800 --> 00:12:10,920 Speaker 1: So in both cases, we see a bank, a financial 182 00:12:10,960 --> 00:12:15,680 Speaker 1: institution that doesn't have a lot of diversity in its holdings, 183 00:12:16,000 --> 00:12:19,880 Speaker 1: and that's that's the Achilles heel of this stuff. So 184 00:12:21,040 --> 00:12:26,480 Speaker 1: again back to our panicked antelope analogy. Pretty soon all 185 00:12:26,520 --> 00:12:31,360 Speaker 1: these CEOs, all these startups are getting these crazy, hectic 186 00:12:31,480 --> 00:12:35,720 Speaker 1: calls from their investors, from these venture capitalists, and they're 187 00:12:36,480 --> 00:12:41,199 Speaker 1: literally telling them, please now cancel whatever you're doing, get 188 00:12:41,240 --> 00:12:44,320 Speaker 1: all of the money out of Silicon Valley Bank. And 189 00:12:44,400 --> 00:12:47,640 Speaker 1: a couple of them are saying, also, don't tell anyone else, 190 00:12:47,960 --> 00:12:52,200 Speaker 1: just do it now. Means they know what happens if 191 00:12:52,200 --> 00:12:54,760 Speaker 1: everybody does that, and that's what that's what you basically 192 00:12:54,800 --> 00:12:57,360 Speaker 1: call a run, right like it's the same thing that 193 00:12:57,640 --> 00:13:01,360 Speaker 1: happened during the Great Depression and also the banking collapse 194 00:13:01,440 --> 00:13:05,760 Speaker 1: of one two thousand and eight. I believe there is 195 00:13:05,880 --> 00:13:10,640 Speaker 1: a run on the bank. The very next day, the 196 00:13:10,679 --> 00:13:15,080 Speaker 1: stock finally goes into freefall. In a single day, in 197 00:13:15,160 --> 00:13:18,760 Speaker 1: the span of twenty four hours, customers tried to withdraw 198 00:13:19,040 --> 00:13:25,560 Speaker 1: forty two billion dollars in deposits and SVB did not 199 00:13:25,720 --> 00:13:29,360 Speaker 1: have the money. No, they were looking for cash. They 200 00:13:29,360 --> 00:13:33,040 Speaker 1: were looking for to raise funds to the tune of 201 00:13:33,080 --> 00:13:37,040 Speaker 1: several billion dollars whom, Yeah, think of, Think of it 202 00:13:37,160 --> 00:13:40,840 Speaker 1: like this. Think of last big play, a big crowded 203 00:13:40,840 --> 00:13:44,400 Speaker 1: place any of us went to. A fellow conspiracy realists 204 00:13:44,520 --> 00:13:47,240 Speaker 1: was with us an you guys traveled recently or so 205 00:13:47,320 --> 00:13:51,920 Speaker 1: on airport, a stadium, a big concert venue. When people 206 00:13:52,040 --> 00:13:57,760 Speaker 1: leave in an orderly scheduled fashion, the doors work just fine. 207 00:13:57,360 --> 00:13:59,920 Speaker 1: A busy train station is a good analogy for the 208 00:14:00,160 --> 00:14:04,800 Speaker 1: as well. If something happens inside that venue and everybody 209 00:14:04,880 --> 00:14:08,560 Speaker 1: leaves at once while they're trying to grab everything they can, 210 00:14:09,000 --> 00:14:14,840 Speaker 1: those doors don't work anymore. Chaos reigns. Regulators sees the 211 00:14:14,880 --> 00:14:19,800 Speaker 1: bank SVB. That is, the very same day, the FDIC says, okay, look, 212 00:14:20,520 --> 00:14:24,320 Speaker 1: if you're a customer, we're true to our word. Order 213 00:14:24,360 --> 00:14:27,720 Speaker 1: will prevail. You will get your full and short deposit 214 00:14:28,080 --> 00:14:34,040 Speaker 1: access by Monday, March thirteenth. Tricky word again ensured. The 215 00:14:34,040 --> 00:14:37,320 Speaker 1: majority of people at this bank are going, ooh, I 216 00:14:37,360 --> 00:14:39,520 Speaker 1: have more than two hundred and fifty grand though, so 217 00:14:39,600 --> 00:14:43,920 Speaker 1: what about me? SVB had more than one hundred and 218 00:14:43,960 --> 00:14:48,520 Speaker 1: fifty one billion dollars worth of uninsured deposits just a 219 00:14:48,520 --> 00:14:51,080 Speaker 1: few months ago. At the end of twenty twenty two. 220 00:14:52,800 --> 00:14:57,000 Speaker 1: That is more than the GDP of many countries, just 221 00:14:57,160 --> 00:15:02,440 Speaker 1: for perspective, and two day days after they collapse, another 222 00:15:02,560 --> 00:15:07,680 Speaker 1: bank get shut down non consensually by Uncle Sam. This 223 00:15:07,760 --> 00:15:10,840 Speaker 1: is Signature Bank. They have a different story. But what 224 00:15:10,880 --> 00:15:13,880 Speaker 1: we need to know is for everyone playing along, that's 225 00:15:13,920 --> 00:15:17,840 Speaker 1: the third largest bank failure in history. So to recap 226 00:15:17,920 --> 00:15:22,160 Speaker 1: two thousand and eight largest bank collapse in US history 227 00:15:22,200 --> 00:15:25,920 Speaker 1: this month alone, the second and the third largest. It's 228 00:15:26,000 --> 00:15:30,200 Speaker 1: not a good look. And now like there's a quick 229 00:15:30,240 --> 00:15:33,520 Speaker 1: conspiratorial thing we have to we have to sew this 230 00:15:33,640 --> 00:15:36,800 Speaker 1: up with, which is the following Do you guys know 231 00:15:36,920 --> 00:15:41,440 Speaker 1: that on March twelfth the authorities said, hey, even if 232 00:15:41,520 --> 00:15:45,920 Speaker 1: you're over that insured amount, we got you. We got 233 00:15:45,920 --> 00:15:49,640 Speaker 1: you back, right, So if you have like millions in there, 234 00:15:50,600 --> 00:15:53,040 Speaker 1: we'll take care of that too. I don't think that 235 00:15:53,120 --> 00:15:56,360 Speaker 1: happens to the average person. Oh and that's practically a bailout. 236 00:15:56,520 --> 00:16:00,160 Speaker 1: I mean, let's say, you know, and also was in 237 00:16:00,240 --> 00:16:04,280 Speaker 1: it at some really high level like kind of investment figure, 238 00:16:04,440 --> 00:16:07,120 Speaker 1: like an individual that texted a lot of people and 239 00:16:07,240 --> 00:16:10,160 Speaker 1: kind of caused the run. And if the run hadn't 240 00:16:10,160 --> 00:16:13,000 Speaker 1: have taken place because people panicked, then everything would have 241 00:16:13,040 --> 00:16:16,280 Speaker 1: probably been okay because the bank essentially did what they 242 00:16:16,320 --> 00:16:20,880 Speaker 1: were supposed to do to my understanding. Yeah, yeah, so 243 00:16:20,920 --> 00:16:24,160 Speaker 1: it really was almost like a man manufactured panic. But 244 00:16:24,200 --> 00:16:26,720 Speaker 1: who was it? Was it like a Mark Cuban type, 245 00:16:26,760 --> 00:16:29,040 Speaker 1: but not that person, but like somebody like that. Who 246 00:16:29,040 --> 00:16:31,880 Speaker 1: the heck was it? There? There were several people because 247 00:16:31,920 --> 00:16:34,920 Speaker 1: social media played a big role in the run on 248 00:16:34,960 --> 00:16:40,120 Speaker 1: the bank here, particularly Twitter, and so again it's like 249 00:16:40,320 --> 00:16:44,280 Speaker 1: it's like spreading a secret. Look startups and that level 250 00:16:44,280 --> 00:16:48,480 Speaker 1: of investment. They're a small town and everybody wants to 251 00:16:48,480 --> 00:16:51,000 Speaker 1: be in on the secret. So you get that panics 252 00:16:51,040 --> 00:16:54,560 Speaker 1: call Okay, get all your money out s VB. Also, 253 00:16:54,640 --> 00:16:57,680 Speaker 1: don't tell anyone, Okay, just do it now. Then of 254 00:16:57,680 --> 00:17:00,280 Speaker 1: course they're shooting a text and they're like, hey, don't 255 00:17:00,320 --> 00:17:02,960 Speaker 1: tell anyone, but I think it's time for you to 256 00:17:03,000 --> 00:17:05,199 Speaker 1: get your money out of SVB. Okay, just keep it 257 00:17:05,280 --> 00:17:07,800 Speaker 1: between us. Oh, no problem. Where will we put it 258 00:17:07,840 --> 00:17:14,600 Speaker 1: in one of the other giant banks. Mattresses, Yeah, mattress firm, mattresses. 259 00:17:14,760 --> 00:17:17,200 Speaker 1: Can I tell you, guys, I actually went to my 260 00:17:17,240 --> 00:17:21,199 Speaker 1: bank and had a discussion with one of the actual bankers. 261 00:17:21,200 --> 00:17:23,359 Speaker 1: They're not I mean, no offense to anyone who's a teller, 262 00:17:23,440 --> 00:17:25,320 Speaker 1: y'all are awesome. I talked to one of those people 263 00:17:25,320 --> 00:17:28,240 Speaker 1: who goes into the rooms right at a local bank, 264 00:17:28,520 --> 00:17:30,960 Speaker 1: you know, okay, whatever they do in those rooms. I 265 00:17:30,960 --> 00:17:33,320 Speaker 1: went in there and just talk to this person at 266 00:17:33,320 --> 00:17:37,040 Speaker 1: a major bank and just ask some questions, you know, 267 00:17:37,160 --> 00:17:40,920 Speaker 1: And of course I'm going to get whatever spiel that 268 00:17:41,280 --> 00:17:43,320 Speaker 1: I'm going to get from a major bank and whatever 269 00:17:43,400 --> 00:17:45,560 Speaker 1: meeting they had about this right as a team like 270 00:17:45,600 --> 00:17:49,520 Speaker 1: this is how we address these questions. Still, just to 271 00:17:49,640 --> 00:17:52,919 Speaker 1: have someone I needed to have someone reassure me that 272 00:17:52,960 --> 00:17:54,840 Speaker 1: the money I have in there that I need to 273 00:17:54,880 --> 00:17:57,679 Speaker 1: pay for, you know, my house, like the mortgage and 274 00:17:57,720 --> 00:17:59,240 Speaker 1: for my son and all this stuff, I need to 275 00:17:59,240 --> 00:18:02,920 Speaker 1: make sure that was it's gonna be mobile. The Febrge eggs, 276 00:18:02,960 --> 00:18:06,440 Speaker 1: I feel are pretty safe in the safe here, but good. 277 00:18:06,560 --> 00:18:09,000 Speaker 1: But just the money that's you know, not tangible, that 278 00:18:09,080 --> 00:18:12,400 Speaker 1: I can't access right, that I might not be able 279 00:18:12,440 --> 00:18:15,760 Speaker 1: to access at some point, is still there? Um yeah, 280 00:18:15,800 --> 00:18:18,640 Speaker 1: because it's still man scary. And when you know, we 281 00:18:18,640 --> 00:18:21,480 Speaker 1: were actually in Austin when this news dropped for the 282 00:18:21,560 --> 00:18:24,560 Speaker 1: tech portion of south By Southwest, the interactive or whatever, 283 00:18:24,640 --> 00:18:27,159 Speaker 1: and we were with our pal Jonathan Strickland of tech stuff, 284 00:18:27,160 --> 00:18:30,600 Speaker 1: who covers this stuff, uh, you know, the tech stuff alife. 285 00:18:30,880 --> 00:18:32,959 Speaker 1: And we had some questions for him because he had 286 00:18:33,000 --> 00:18:35,119 Speaker 1: just recently been kind of wrapping his head around all 287 00:18:35,119 --> 00:18:38,000 Speaker 1: of this. And I think one of mine and I 288 00:18:38,040 --> 00:18:39,800 Speaker 1: think I don't know, something that's on all of our 289 00:18:39,800 --> 00:18:44,040 Speaker 1: minds was how are these banks different from like the Wells, 290 00:18:44,080 --> 00:18:47,840 Speaker 1: Fargos and Bank of Americas of the world, and are 291 00:18:48,040 --> 00:18:51,000 Speaker 1: those banks insulated from this kind of thing? And I 292 00:18:51,000 --> 00:18:55,119 Speaker 1: think the answer was largely yes. These are very specific 293 00:18:55,240 --> 00:18:57,280 Speaker 1: types of banks that you know, to your point band 294 00:18:57,280 --> 00:19:00,399 Speaker 1: focus on venture capital, you know, start up funding and 295 00:19:00,440 --> 00:19:02,160 Speaker 1: all of that stuff is you know, it's literally called 296 00:19:02,160 --> 00:19:05,680 Speaker 1: Silicon Valley Bank, and then with the other one it's 297 00:19:05,880 --> 00:19:09,120 Speaker 1: specifically you know, more crypto holdings. Um. But then Ben, 298 00:19:09,280 --> 00:19:13,840 Speaker 1: you mentioned yesterday that the stock prices of a lot 299 00:19:13,880 --> 00:19:16,960 Speaker 1: of these other more traditional banks did take a hit 300 00:19:17,320 --> 00:19:20,159 Speaker 1: but then kind of normalize. So I guess my question is, like, 301 00:19:20,840 --> 00:19:24,480 Speaker 1: how are these things interconnected? You know, if if at 302 00:19:24,520 --> 00:19:28,160 Speaker 1: all there obviously is something, whether it just be investor panic, 303 00:19:28,760 --> 00:19:31,679 Speaker 1: or if there are kind of tendrils connecting you know, 304 00:19:31,720 --> 00:19:35,040 Speaker 1: some of these more bespoke, niche types of banks from 305 00:19:35,080 --> 00:19:37,639 Speaker 1: the ones that you know, folks like us and the 306 00:19:38,119 --> 00:19:42,680 Speaker 1: listeners bank with that's a that's a great question, and 307 00:19:42,720 --> 00:19:45,760 Speaker 1: maybe we examine a future episode. I will give you 308 00:19:45,840 --> 00:19:50,160 Speaker 1: my opinion. And again, folks, there's just one entities opinion. 309 00:19:51,040 --> 00:19:54,679 Speaker 1: I would say the difference between those those banking institutions 310 00:19:55,080 --> 00:19:57,800 Speaker 1: is that they are different denominations of the same religion. 311 00:19:59,400 --> 00:20:03,000 Speaker 1: And with with that, we're gonna pause. Everybody, stay safe. 312 00:20:03,040 --> 00:20:06,800 Speaker 1: Remember if you bank at a like a any imaginable 313 00:20:07,160 --> 00:20:11,120 Speaker 1: banking system, if every one of your fellow customers has 314 00:20:11,119 --> 00:20:14,040 Speaker 1: a bad day at the same time and they run 315 00:20:14,119 --> 00:20:16,800 Speaker 1: to get their money, the same thing is going to happen. 316 00:20:16,920 --> 00:20:20,119 Speaker 1: This could happen to every single bank. The ecosystem is 317 00:20:20,160 --> 00:20:23,639 Speaker 1: much more fragile than many people realize or like to 318 00:20:23,680 --> 00:20:26,320 Speaker 1: think about. So maybe this is an episode for the future. 319 00:20:26,359 --> 00:20:28,400 Speaker 1: We can't wait to hear your thoughts. In the meantime, 320 00:20:28,480 --> 00:20:30,639 Speaker 1: we ran along in this one. So we're going to 321 00:20:30,720 --> 00:20:33,240 Speaker 1: pause for a word from our sponsor, and then we're 322 00:20:33,240 --> 00:20:37,800 Speaker 1: going to travel from the East coast out out to 323 00:20:37,840 --> 00:20:48,239 Speaker 1: the home and country music and we're back. Gentlemen, are 324 00:20:48,280 --> 00:20:55,000 Speaker 1: you familiar with the internet parlance thirst trap? Yes, I've 325 00:20:55,040 --> 00:20:58,320 Speaker 1: been accused of a few of those myself. Yeah, your 326 00:20:58,320 --> 00:21:02,439 Speaker 1: blue steel Look I know just about you guys. Remember 327 00:21:02,560 --> 00:21:05,480 Speaker 1: we took a picture in the whiskey bar. Ben. You 328 00:21:05,560 --> 00:21:08,360 Speaker 1: posted it and somebody said first trap, and I asked 329 00:21:08,400 --> 00:21:13,360 Speaker 1: you guys, what that was. Yes, when you it's when 330 00:21:13,400 --> 00:21:15,760 Speaker 1: you put a cold glass of water out on a 331 00:21:15,760 --> 00:21:18,919 Speaker 1: hot day and you can attach a trap like you 332 00:21:18,960 --> 00:21:20,720 Speaker 1: put like one of those boxes above it with a 333 00:21:20,960 --> 00:21:24,280 Speaker 1: with a stick so that when a thirsty individual comes 334 00:21:24,280 --> 00:21:26,159 Speaker 1: in and tries to drink the water, the trap is 335 00:21:26,240 --> 00:21:29,560 Speaker 1: sprung and then they're in your clutches. That's a no, Now, 336 00:21:31,359 --> 00:21:33,480 Speaker 1: Ben was just too good looking in that photo, right. 337 00:21:33,520 --> 00:21:36,520 Speaker 1: That's we were. We were killing it that night, all 338 00:21:36,600 --> 00:21:40,439 Speaker 1: three of us, see you. There can be group thirst traps, 339 00:21:40,520 --> 00:21:44,040 Speaker 1: I think, but typically thirst traps are selfies, an individual 340 00:21:44,080 --> 00:21:48,680 Speaker 1: picture that someone is posting, uh, perhaps with the intense 341 00:21:48,760 --> 00:21:52,119 Speaker 1: to titilate at the very least, to get some attention 342 00:21:52,600 --> 00:21:55,960 Speaker 1: with false humility. Right, Like here's a picture of me 343 00:21:56,160 --> 00:21:59,120 Speaker 1: with my shirt off or dressed very sexily. And here 344 00:21:59,160 --> 00:22:03,199 Speaker 1: on the side is like a bottle of juice. And 345 00:22:03,240 --> 00:22:06,919 Speaker 1: I'm talking about how I like this juice. Maybe a 346 00:22:06,960 --> 00:22:11,800 Speaker 1: little side dog, actually, maybe a bit maybe a nip 347 00:22:11,840 --> 00:22:16,000 Speaker 1: slip perhaps, you know, I mean maybe not so whether 348 00:22:16,080 --> 00:22:18,840 Speaker 1: they are they are I think typically thought of as 349 00:22:18,880 --> 00:22:22,080 Speaker 1: sort of like a way of getting a little bit 350 00:22:22,119 --> 00:22:24,640 Speaker 1: of attention, you know, maybe to make someone feel good 351 00:22:24,640 --> 00:22:27,399 Speaker 1: about themselves. You know, you posting it felt cute, might 352 00:22:27,440 --> 00:22:30,840 Speaker 1: delete later, that kind of thing. Oh okay, okay, that's 353 00:22:30,840 --> 00:22:34,200 Speaker 1: basically it was just an attractive picture of someone. No, 354 00:22:34,359 --> 00:22:37,960 Speaker 1: but it's called a thirst trap because it's like there's intent, 355 00:22:38,160 --> 00:22:40,840 Speaker 1: You're you're you're, you're posting it and you and there's 356 00:22:40,840 --> 00:22:44,400 Speaker 1: this sort of feigned humility, let's be honest. Uh, And 357 00:22:44,400 --> 00:22:47,760 Speaker 1: and it's it's intended to attract attention, you know, for 358 00:22:47,800 --> 00:22:50,320 Speaker 1: you for whatever reason. It also could be I mean, 359 00:22:50,359 --> 00:22:55,280 Speaker 1: a lot of internet sex workers will have a kind 360 00:22:55,320 --> 00:22:59,960 Speaker 1: of non explicit account that is still pushing the bound 361 00:23:00,080 --> 00:23:02,920 Speaker 1: juries of whatever platform they're on. Let's say Instagram. Maybe 362 00:23:02,920 --> 00:23:06,200 Speaker 1: there's no full nudity, but there let's just say suggestive 363 00:23:06,200 --> 00:23:08,359 Speaker 1: at the very least. And then if you go to 364 00:23:08,400 --> 00:23:12,360 Speaker 1: their Lincoln bio you might find yourself but only fans 365 00:23:12,520 --> 00:23:16,800 Speaker 1: there to get the premium content. Okay, Um, so do 366 00:23:16,840 --> 00:23:19,840 Speaker 1: you Okay, so we've we've gone over thirst trap. Do 367 00:23:19,880 --> 00:23:24,359 Speaker 1: you guys know much about Tennessee politics. Unfortunately, I do 368 00:23:24,480 --> 00:23:28,520 Speaker 1: know a little. Yeah, it's not great specifically, you know, 369 00:23:28,600 --> 00:23:34,479 Speaker 1: in the way that U. States government treats members of 370 00:23:34,480 --> 00:23:37,400 Speaker 1: the LGBTQ I A plus community. I think I got 371 00:23:37,440 --> 00:23:40,800 Speaker 1: all those in there right. Um, there are a lot 372 00:23:40,840 --> 00:23:47,120 Speaker 1: of anti LGBTQ bills being bandied around. Um, there are 373 00:23:47,240 --> 00:23:51,240 Speaker 1: there's a lot of anti trans legislation being bandied around, 374 00:23:51,240 --> 00:23:53,560 Speaker 1: like I mean, I think there are. There's even one 375 00:23:53,640 --> 00:23:56,000 Speaker 1: that is making the rounds. I don't remember if it's 376 00:23:56,040 --> 00:24:00,840 Speaker 1: pasted or not. That would literally allow, uh know, members 377 00:24:00,920 --> 00:24:04,200 Speaker 1: of local government to take a you know, the kind 378 00:24:04,200 --> 00:24:06,840 Speaker 1: of stance that maybe a private business could take where 379 00:24:06,880 --> 00:24:10,040 Speaker 1: they won't serve you if a same sex couple comes 380 00:24:10,080 --> 00:24:14,320 Speaker 1: in to get married, they would would give them the 381 00:24:14,840 --> 00:24:17,840 Speaker 1: choice whether or not to do that, which, you know, 382 00:24:18,080 --> 00:24:20,959 Speaker 1: you think if the law is the law, you're supposed 383 00:24:21,000 --> 00:24:24,439 Speaker 1: to be there to enact the law. It reminds me 384 00:24:24,560 --> 00:24:27,080 Speaker 1: of that story about the woman who ran the cake 385 00:24:27,119 --> 00:24:29,320 Speaker 1: shop that wouldn't make the cake for the same sex 386 00:24:29,359 --> 00:24:32,080 Speaker 1: couple or whatever. And even that's problematic, but I mean, 387 00:24:32,119 --> 00:24:35,840 Speaker 1: I do believe private businesses can do that. They can 388 00:24:35,920 --> 00:24:38,399 Speaker 1: choose who or who they do and do not serve 389 00:24:38,920 --> 00:24:41,560 Speaker 1: because it's a private business. You know, I heard the 390 00:24:41,560 --> 00:24:44,320 Speaker 1: cake wasn't even that good. I'm sure it wasn't, which 391 00:24:44,359 --> 00:24:47,560 Speaker 1: I know is not an important part of the conversation. 392 00:24:47,560 --> 00:24:52,119 Speaker 1: Probably tasted very bitter if you ask me. But you know, 393 00:24:52,280 --> 00:24:56,240 Speaker 1: the government, you don't expect to be I mean again, 394 00:24:56,320 --> 00:24:59,880 Speaker 1: expect expectation is an interesting thing. But you would think 395 00:25:00,160 --> 00:25:04,240 Speaker 1: no matter what your sex, race, creed, religion, or sexual 396 00:25:04,280 --> 00:25:06,800 Speaker 1: orientation would be, you should be able to go in 397 00:25:07,119 --> 00:25:11,600 Speaker 1: and be in the equalized hell that is government bureaucracy 398 00:25:11,640 --> 00:25:14,959 Speaker 1: with the rest of civilization, right, you know, I mean 399 00:25:15,000 --> 00:25:18,240 Speaker 1: it should be unpleasant for everyone in the same way 400 00:25:18,440 --> 00:25:22,640 Speaker 1: and inconvenient for everyone in the same way, like marriage. Yeah, 401 00:25:22,720 --> 00:25:27,280 Speaker 1: just so so you know, but yeah so. Tennessee Lieutenant 402 00:25:27,359 --> 00:25:33,879 Speaker 1: Governor Randy McNally recently announced that he's putting these pressing 403 00:25:33,960 --> 00:25:38,280 Speaker 1: pause on his social media activity after it came out 404 00:25:38,320 --> 00:25:44,159 Speaker 1: that he repeatedly made comments let's just say on and 405 00:25:44,440 --> 00:25:46,240 Speaker 1: that's what he did. He commented, like, you know, on 406 00:25:46,280 --> 00:25:52,080 Speaker 1: Instagram on some of these thirst trap type picks posted 407 00:25:52,119 --> 00:25:56,520 Speaker 1: by a twenty year old gay man. Many of these 408 00:25:56,760 --> 00:26:02,439 Speaker 1: these images. So there's you know, the cheeky let's just say, Okay, 409 00:26:02,320 --> 00:26:05,440 Speaker 1: they're not explicit again because that would uh that would 410 00:26:05,560 --> 00:26:10,119 Speaker 1: you know, go against the Instagram terms of service. Um, 411 00:26:10,160 --> 00:26:12,920 Speaker 1: but they are. That's kind of what this guy's account 412 00:26:13,560 --> 00:26:21,840 Speaker 1: is all about. Talk about showing off his butt. Yeah okay, yeah, yeah, 413 00:26:21,960 --> 00:26:25,800 Speaker 1: he's showing off. He's showing some cheek got him. Yeah 414 00:26:25,800 --> 00:26:29,640 Speaker 1: you know, I mean like really low cut bicycle shorts, 415 00:26:29,800 --> 00:26:33,080 Speaker 1: like uh, you know, showing the hip bone and like 416 00:26:33,160 --> 00:26:36,359 Speaker 1: the happy trail and all of that good stuff. Um. Again, 417 00:26:38,359 --> 00:26:41,960 Speaker 1: great to be able to empower oneself and post anything 418 00:26:42,000 --> 00:26:44,360 Speaker 1: you want like this, um. But you know, when when 419 00:26:44,400 --> 00:26:46,720 Speaker 1: that is kind of the majority of the content on 420 00:26:46,760 --> 00:26:48,399 Speaker 1: the page like that, you kind of know what the 421 00:26:48,440 --> 00:26:51,320 Speaker 1: score is to a degree. And again I'm not saying 422 00:26:51,560 --> 00:26:55,600 Speaker 1: that frankly, superstar UM who which is the handle of 423 00:26:55,640 --> 00:26:57,800 Speaker 1: this individual is is a sex worker. I don't know 424 00:26:57,880 --> 00:26:59,600 Speaker 1: this to be the fact of the case. In fact, 425 00:26:59,720 --> 00:27:02,280 Speaker 1: this individual has commented on the case and didn't say 426 00:27:02,280 --> 00:27:04,040 Speaker 1: anything of the kind, So that's not really even what 427 00:27:04,040 --> 00:27:06,760 Speaker 1: this is about. What this is about is that McNally, 428 00:27:06,760 --> 00:27:11,320 Speaker 1: who is seventy nine UM posted response, has been commenting 429 00:27:11,359 --> 00:27:16,919 Speaker 1: on this guy's photos for years with things like, you know, 430 00:27:17,240 --> 00:27:22,680 Speaker 1: I eyeball heart heart emog eyes, you know, uh fire emogi, 431 00:27:23,240 --> 00:27:26,560 Speaker 1: you know, like calling him, like saying, Finn, the guy's 432 00:27:26,640 --> 00:27:28,880 Speaker 1: name is Finn. You can turn a rainy day into 433 00:27:29,000 --> 00:27:33,119 Speaker 1: rainbows and sunshine. Um, you are literally and then and 434 00:27:33,160 --> 00:27:36,399 Speaker 1: then to which Finn McClure is the fellow's name, responds, 435 00:27:36,560 --> 00:27:40,000 Speaker 1: you are literally always so nice king with a heart, 436 00:27:40,000 --> 00:27:44,600 Speaker 1: Emogi king. That's the thing the kids say, super look 437 00:27:44,680 --> 00:27:49,880 Speaker 1: Finn love love the fit or lack thereof. You know, 438 00:27:50,280 --> 00:27:53,719 Speaker 1: those bike shorts are doing it for me. Um. So 439 00:27:53,760 --> 00:27:57,400 Speaker 1: apparently McNally has posted more than eighty comments over the years. 440 00:27:57,400 --> 00:28:00,280 Speaker 1: The date back to twenty twenty so yeah, that's years 441 00:28:00,680 --> 00:28:06,520 Speaker 1: on McClure's Instagram, and one's as recent as February twenty six. 442 00:28:08,600 --> 00:28:11,560 Speaker 1: His initial comments, you know, and this is a report 443 00:28:11,600 --> 00:28:14,200 Speaker 1: from NBC News. They point out that his initial comments 444 00:28:14,400 --> 00:28:17,920 Speaker 1: read a little more like words of encouragement, any kind 445 00:28:17,920 --> 00:28:21,040 Speaker 1: of like a little pep talks um, you know, towards 446 00:28:21,080 --> 00:28:24,960 Speaker 1: this individual. It's almost like a caring father figure or 447 00:28:24,960 --> 00:28:27,480 Speaker 1: something like that. And then you know again they they 448 00:28:27,560 --> 00:28:31,080 Speaker 1: sort of evolve into into this other type. Again, there's 449 00:28:31,119 --> 00:28:34,080 Speaker 1: no there's no splicit language. Let's just say, you know, 450 00:28:34,400 --> 00:28:37,720 Speaker 1: but fire emoji, we kind of know what that means, 451 00:28:37,840 --> 00:28:42,120 Speaker 1: you know, heart eye emoji. Maybe this guy's just you know, 452 00:28:42,160 --> 00:28:44,720 Speaker 1: he has seven he isn't in his late seventies, and 453 00:28:44,800 --> 00:28:46,600 Speaker 1: maybe he's just a little out of touch, but he's 454 00:28:46,640 --> 00:28:49,520 Speaker 1: sure is commenting up a storm on the internet while 455 00:28:50,040 --> 00:28:55,120 Speaker 1: also supporting legislation that really would seek to erase people 456 00:28:55,280 --> 00:28:58,640 Speaker 1: like Finn. And that's the problem, right, because there's nothing 457 00:28:58,680 --> 00:29:01,720 Speaker 1: wrong with anything up until this point until you you 458 00:29:02,560 --> 00:29:05,840 Speaker 1: hit upon it, right. No, Like, at the same time, 459 00:29:07,360 --> 00:29:12,880 Speaker 1: this guy, boy McNally is is actively I guess he's 460 00:29:12,880 --> 00:29:17,720 Speaker 1: actively supporting this controversial legislation. Is that correct? Yes? Yes, 461 00:29:18,120 --> 00:29:19,840 Speaker 1: And Matt, I believe you were doing some digging and 462 00:29:20,080 --> 00:29:23,040 Speaker 1: had an example of one of these controversial bills that 463 00:29:23,200 --> 00:29:26,640 Speaker 1: McNally supported. Yeah, I don't know a ton. I know 464 00:29:26,760 --> 00:29:29,120 Speaker 1: one of the recent ones, or perhaps one of the 465 00:29:29,120 --> 00:29:32,520 Speaker 1: more recent ones, was reported on NBC News as having 466 00:29:32,560 --> 00:29:37,200 Speaker 1: to do with restricting drag performances on public property and 467 00:29:37,400 --> 00:29:42,720 Speaker 1: anywhere and anywhere a child could see them. Okay, so 468 00:29:43,040 --> 00:29:46,080 Speaker 1: that interestingly enough, though that Tim in my mind, maybe 469 00:29:46,080 --> 00:29:48,720 Speaker 1: I'm completely wrong in my mind. That doesn't mean you 470 00:29:48,760 --> 00:29:52,200 Speaker 1: can't have a drag show at a bar or a 471 00:29:52,200 --> 00:29:55,240 Speaker 1: place that does drag shows, right, It just means you 472 00:29:55,280 --> 00:29:58,920 Speaker 1: can't do it on state property. Well, it's sort of 473 00:29:58,960 --> 00:30:05,120 Speaker 1: a it's sort of purposely misleading, right. The idea or 474 00:30:05,160 --> 00:30:08,480 Speaker 1: some of the rationale being offered, was this concept that 475 00:30:09,200 --> 00:30:12,760 Speaker 1: kids would get ambushed by drag shows. And if you've 476 00:30:12,880 --> 00:30:17,719 Speaker 1: ever been familiar with drag shows, the performers and the 477 00:30:17,720 --> 00:30:20,640 Speaker 1: producers put a lot of effort into making sure people 478 00:30:20,760 --> 00:30:23,760 Speaker 1: know there's one coming in advance because they want the 479 00:30:23,880 --> 00:30:28,520 Speaker 1: audio marketing. Right, they do care about that, right there. 480 00:30:28,640 --> 00:30:31,720 Speaker 1: They're not scheme in Monty Burn style to just like 481 00:30:31,920 --> 00:30:37,600 Speaker 1: sabotage someone surprise, this isn't literally a blockbuster or whatever. 482 00:30:37,800 --> 00:30:41,000 Speaker 1: Like they're not They're not doing that. It does feel 483 00:30:41,040 --> 00:30:45,760 Speaker 1: like it's um intentionally misleading. But also I would say, 484 00:30:45,880 --> 00:30:51,520 Speaker 1: Noel shades as Santos here, right. George Santos, who opposes 485 00:30:51,560 --> 00:30:54,400 Speaker 1: a lot of stuff that it seems he himself has practiced, 486 00:30:55,200 --> 00:30:59,640 Speaker 1: also recently just declared his candidacy for president. So this 487 00:30:59,680 --> 00:31:02,680 Speaker 1: is the Governor of Tennessee referring too, right, Uh, No, 488 00:31:02,840 --> 00:31:06,800 Speaker 1: George Santo's different dude, same kind of hip hypocrisy pattern, 489 00:31:07,040 --> 00:31:10,480 Speaker 1: Like we're talking about the Florida guy. Yeah, yeah, well 490 00:31:10,520 --> 00:31:15,840 Speaker 1: the governor to different Yeah well, yes, exactly, Sorry, Bill Lee. 491 00:31:16,040 --> 00:31:19,520 Speaker 1: The governor of Tennessee, um very similar situation where he 492 00:31:19,840 --> 00:31:22,640 Speaker 1: actually got kind of hijacked a little bit by I 493 00:31:22,640 --> 00:31:24,320 Speaker 1: mean in a good way. I would argue by a 494 00:31:24,320 --> 00:31:28,840 Speaker 1: reporter who pointed out a picture of him himself wearing 495 00:31:29,000 --> 00:31:31,640 Speaker 1: wearing drag back you know, a long time ago, and 496 00:31:31,640 --> 00:31:33,880 Speaker 1: he said that that was it was totally absurd to 497 00:31:33,880 --> 00:31:37,479 Speaker 1: even point that out, that it was done lightheartedly, you know, 498 00:31:37,720 --> 00:31:40,280 Speaker 1: And one could argue, I've been to some drag shows. 499 00:31:40,280 --> 00:31:45,760 Speaker 1: They're they're usually pretty lighthearted and not inherently pornographic at all, 500 00:31:45,800 --> 00:31:49,600 Speaker 1: you know, I mean I've certainly you know, RuPaul's Drag 501 00:31:49,680 --> 00:31:52,480 Speaker 1: Race is one of the most popular things in the universe. 502 00:31:52,960 --> 00:31:55,160 Speaker 1: You know, my kid watches that with with their mom 503 00:31:55,200 --> 00:31:57,240 Speaker 1: all the time. Again, I'm not saying that this is this. 504 00:31:57,400 --> 00:32:01,120 Speaker 1: You know that kids, you know, young young, young kids, 505 00:32:01,360 --> 00:32:05,520 Speaker 1: you know, should be exposed to drag shows without the 506 00:32:05,800 --> 00:32:08,560 Speaker 1: ability for their parents to kind of you know, police 507 00:32:08,600 --> 00:32:10,880 Speaker 1: that kind of thing, just like they shouldn't be exposed 508 00:32:10,920 --> 00:32:13,920 Speaker 1: to rided movie. Is there anything that's like even remotely suggestive. 509 00:32:13,920 --> 00:32:15,520 Speaker 1: That should be up to the parents. But I can't 510 00:32:15,560 --> 00:32:18,480 Speaker 1: imagine a circumstance where would just be like a drages 511 00:32:19,400 --> 00:32:21,920 Speaker 1: apply to pride parades inside. I imagine it would right. 512 00:32:22,000 --> 00:32:23,960 Speaker 1: Let me, Yeah, I think I was a little wrong 513 00:32:24,000 --> 00:32:26,560 Speaker 1: because this is I'm going to read this quote from 514 00:32:26,640 --> 00:32:32,480 Speaker 1: NBC News. This is by Matt Levitas or Levitas. I'm 515 00:32:32,520 --> 00:32:34,880 Speaker 1: sorry la v I E. T. E. S. Who was 516 00:32:34,920 --> 00:32:38,600 Speaker 1: posted March second, twenty twenty three. Oh yeah, Mat, yeah, 517 00:32:38,600 --> 00:32:41,280 Speaker 1: oh yeah, come on, we all know Matt quote. The 518 00:32:41,360 --> 00:32:45,640 Speaker 1: first of its kind legislation will ban adult cabaret entertainment 519 00:32:45,720 --> 00:32:49,200 Speaker 1: that's in quotes on public property or in locations where 520 00:32:49,240 --> 00:32:52,840 Speaker 1: it can be viewed by miners. Such entertainment, according to 521 00:32:52,840 --> 00:32:55,680 Speaker 1: the measure, includes here. Here is where the problem is. Guys. 522 00:32:55,680 --> 00:32:59,920 Speaker 1: They're lumping all of this together, topless dancers, go go dancers, 523 00:33:00,360 --> 00:33:07,680 Speaker 1: exotic dancers, strippers, male or female impersonators or similar entertainers, 524 00:33:07,040 --> 00:33:11,920 Speaker 1: so that see even that language, yes, exactly, yeah, exactly, 525 00:33:11,960 --> 00:33:14,280 Speaker 1: they're and they're lumping it all together and saying, oh, well, 526 00:33:14,280 --> 00:33:16,200 Speaker 1: you can't do any of that stuff where a child 527 00:33:16,400 --> 00:33:18,840 Speaker 1: may be able to see or a minor. Right, But 528 00:33:18,920 --> 00:33:23,920 Speaker 1: that also implies that people who are trans like can't 529 00:33:23,920 --> 00:33:25,760 Speaker 1: like like I have. I think I mentioned to you 530 00:33:25,760 --> 00:33:27,600 Speaker 1: guys off Mike, I have a friend who lives in 531 00:33:27,640 --> 00:33:31,400 Speaker 1: another state that has some very you know, severe kind 532 00:33:31,440 --> 00:33:35,240 Speaker 1: of laws like this pending um and she is trans 533 00:33:35,360 --> 00:33:40,960 Speaker 1: and is a musician who performs music at at venues. 534 00:33:41,320 --> 00:33:43,400 Speaker 1: So if so, this is to say that if you're 535 00:33:43,440 --> 00:33:48,760 Speaker 1: not dressed as you're like assigned at birth gender, then 536 00:33:48,880 --> 00:33:53,040 Speaker 1: you are a you are a female an impersonator quote unquote. Again, 537 00:33:53,080 --> 00:33:56,040 Speaker 1: I find that language really awful. And then just by 538 00:33:56,120 --> 00:34:03,360 Speaker 1: playing at a coffee shop, you're considered a performer impersonating 539 00:34:03,400 --> 00:34:06,720 Speaker 1: somebody of the of a different gender. Yeah, and it 540 00:34:06,760 --> 00:34:09,400 Speaker 1: came about partially. One of one of the big things 541 00:34:09,440 --> 00:34:14,600 Speaker 1: that sparked this stuff in Tennessee and in other parts 542 00:34:14,600 --> 00:34:18,640 Speaker 1: of the South was the idea of drag performers doing 543 00:34:18,920 --> 00:34:23,200 Speaker 1: story time events, which are just like reading stories two 544 00:34:23,280 --> 00:34:28,480 Speaker 1: kids at a library. And this, by by and large, 545 00:34:28,520 --> 00:34:30,800 Speaker 1: you know, we we've talked with some people in this space, 546 00:34:30,840 --> 00:34:34,440 Speaker 1: and this this by and large, it really feels like 547 00:34:34,480 --> 00:34:38,400 Speaker 1: a distraction, To be quite honest with you, it feels 548 00:34:38,480 --> 00:34:42,520 Speaker 1: like it's not only a distraction from serious policy changes 549 00:34:42,560 --> 00:34:46,000 Speaker 1: that are bad for the majority of people affected. But 550 00:34:46,080 --> 00:34:48,960 Speaker 1: it also feels like, you know, reminds me of what 551 00:34:49,000 --> 00:34:52,600 Speaker 1: we're talking about earlier when um our old boy Tucky 552 00:34:52,680 --> 00:34:56,759 Speaker 1: c Tucker Carlson on Fox at all these text messages 553 00:34:56,800 --> 00:35:00,480 Speaker 1: that pretty much prove he thought the total op of 554 00:35:00,480 --> 00:35:03,040 Speaker 1: what he was claiming to think when he was on air, 555 00:35:03,400 --> 00:35:06,840 Speaker 1: you know, and and nol. If you look at this guy, um, 556 00:35:07,600 --> 00:35:11,920 Speaker 1: Lieutenant Governor McNally, then it seems like, first off, his 557 00:35:12,040 --> 00:35:17,080 Speaker 1: op sec is really bad. Dude, make a burner account. Yeah, 558 00:35:17,120 --> 00:35:19,160 Speaker 1: that's the funny thing too. By the way, he's he's 559 00:35:19,520 --> 00:35:22,759 Speaker 1: doing all of this from an account that's like official 560 00:35:23,440 --> 00:35:27,839 Speaker 1: literally at official Lieutenant governor, you know, like you know, 561 00:35:28,000 --> 00:35:30,520 Speaker 1: it's almost he can't really make this stuff up. Um. 562 00:35:30,800 --> 00:35:36,240 Speaker 1: And initially UM he commented that you know, or or 563 00:35:36,239 --> 00:35:40,480 Speaker 1: his office released a statement saying he likes to comment 564 00:35:40,520 --> 00:35:42,880 Speaker 1: on social media. That's what he does. He likes to 565 00:35:43,160 --> 00:35:48,360 Speaker 1: give his supporters encouragement and spread goodwill throughout the land. 566 00:35:48,600 --> 00:35:52,680 Speaker 1: You know, with his constituency. Um, does he use does 567 00:35:52,719 --> 00:35:56,719 Speaker 1: he use the correct emojis every time? Maybe not, but 568 00:35:56,880 --> 00:36:00,120 Speaker 1: his intentions are clear and this is part of the 569 00:36:00,120 --> 00:36:05,640 Speaker 1: the left leaning liberal you know conspiracy to tradish, to shame, 570 00:36:05,719 --> 00:36:10,560 Speaker 1: this this great man um and again we don't know 571 00:36:10,800 --> 00:36:15,720 Speaker 1: this man um. And honestly, kudos to any pushing eighty 572 00:36:15,800 --> 00:36:19,200 Speaker 1: year old who dares wade into the waters of social media. 573 00:36:19,480 --> 00:36:21,520 Speaker 1: You know, we know it's it's it's not a first 574 00:36:21,600 --> 00:36:24,960 Speaker 1: nature so sure there's gonna be some learning curve there. 575 00:36:25,000 --> 00:36:27,400 Speaker 1: But he's been doing this for a long time, and 576 00:36:27,600 --> 00:36:30,479 Speaker 1: the comments of evolved. Again, we're not saying that he's 577 00:36:30,520 --> 00:36:33,160 Speaker 1: like living some sort of double life. It's mainly just 578 00:36:34,120 --> 00:36:38,399 Speaker 1: it's a bad look considering you know, what kinds of 579 00:36:38,600 --> 00:36:41,439 Speaker 1: bills he supports. And he actually did come out with 580 00:36:41,480 --> 00:36:45,200 Speaker 1: the statements that's it's it's a little weird. I'm just 581 00:36:45,239 --> 00:36:48,719 Speaker 1: gonna read it. This is what he had to say 582 00:36:49,160 --> 00:36:52,600 Speaker 1: as a response. Criticism of my social media activity is fair, 583 00:36:52,640 --> 00:36:54,359 Speaker 1: and I have taken it to heart. All I ask 584 00:36:54,360 --> 00:36:56,920 Speaker 1: because the people look at the facts and my actual record. Again, 585 00:36:57,040 --> 00:37:00,520 Speaker 1: conservative and anti gay are not synonymous, not generally and 586 00:37:00,560 --> 00:37:03,239 Speaker 1: certainly not for me. While I realize it may not 587 00:37:03,280 --> 00:37:05,680 Speaker 1: happen immediately, I am hopeful that this examination of my 588 00:37:05,719 --> 00:37:07,960 Speaker 1: social media activity will conclude and we can soon all 589 00:37:07,960 --> 00:37:10,600 Speaker 1: get back to ensuring Tennessee remains the best date of 590 00:37:10,640 --> 00:37:14,839 Speaker 1: the union to live, work, and raise a family. Let's see. Okay, 591 00:37:14,840 --> 00:37:16,839 Speaker 1: I'm going to read this part, which is the part 592 00:37:16,840 --> 00:37:18,960 Speaker 1: that kind of is a little bit of the sorry 593 00:37:19,000 --> 00:37:21,719 Speaker 1: not sorry kind of part. I am seventy nine years 594 00:37:21,719 --> 00:37:25,080 Speaker 1: old and was raised in a time when homosexuality is 595 00:37:25,080 --> 00:37:29,000 Speaker 1: where it's on. Mine was deeply shameful, and I absolutely 596 00:37:29,080 --> 00:37:32,680 Speaker 1: still hold traditional Tennessee values. Deer doesn't that kind of 597 00:37:32,680 --> 00:37:35,480 Speaker 1: basically mean like, and I still think that that's sort 598 00:37:35,520 --> 00:37:38,840 Speaker 1: of what that implies. But I now have friends and 599 00:37:38,960 --> 00:37:42,560 Speaker 1: even a relative who is gay. Oh good, Oh, it's 600 00:37:42,640 --> 00:37:46,240 Speaker 1: right up there with I know one one black friend. Yeah, 601 00:37:46,280 --> 00:37:50,400 Speaker 1: Because we talk about on this show so many times, 602 00:37:50,440 --> 00:37:52,920 Speaker 1: one of the only ways to truly get perspective is 603 00:37:52,960 --> 00:37:56,560 Speaker 1: to know someone right, one of those that you true 604 00:37:57,160 --> 00:38:00,720 Speaker 1: and actually see life through their experience in some brief 605 00:38:00,800 --> 00:38:04,880 Speaker 1: and small way. So like I had, I can't. I 606 00:38:04,920 --> 00:38:07,040 Speaker 1: don't want to just demonize this guy. And I do 607 00:38:07,120 --> 00:38:11,920 Speaker 1: hear what you guys are saying to one year it's 608 00:38:12,000 --> 00:38:15,520 Speaker 1: just again that's like, yes, say you know the one 609 00:38:15,640 --> 00:38:21,399 Speaker 1: person is free saying it's like say the good one 610 00:38:21,960 --> 00:38:25,800 Speaker 1: you know? This also just reeks of damage control. You 611 00:38:26,000 --> 00:38:29,640 Speaker 1: know what I mean, like to the eleventh degree. He 612 00:38:29,680 --> 00:38:31,359 Speaker 1: goes on to say, I you know this, and this 613 00:38:31,400 --> 00:38:33,560 Speaker 1: is the part where whoever did this damage control wrote 614 00:38:33,640 --> 00:38:36,120 Speaker 1: this for him. Uh, just a pretty good job here. 615 00:38:36,400 --> 00:38:38,840 Speaker 1: I have worked hard to try and understand this community 616 00:38:38,880 --> 00:38:41,799 Speaker 1: better and at the same time not compromise trying to 617 00:38:41,840 --> 00:38:45,520 Speaker 1: protect children in my own values. I notably came down 618 00:38:45,600 --> 00:38:47,840 Speaker 1: from the speaker's podium to speak against a bill that 619 00:38:47,880 --> 00:38:51,160 Speaker 1: would have curtailed gay adoption. I have also supported legislation 620 00:38:51,200 --> 00:38:54,200 Speaker 1: that would protect children and keep obscenity out of the 621 00:38:54,200 --> 00:38:57,080 Speaker 1: public sphere. And once again, that's what that's the one 622 00:38:57,120 --> 00:39:00,360 Speaker 1: you're talking about, Matt, obscenity. You know what else is 623 00:39:00,360 --> 00:39:05,759 Speaker 1: obscene ind all cultures in all cases hypocrisy. Yeah, and 624 00:39:05,840 --> 00:39:11,000 Speaker 1: I support traditional marriage. That's the last way it is, so, 625 00:39:11,960 --> 00:39:14,000 Speaker 1: you know, and I think the issue that we're all 626 00:39:14,120 --> 00:39:18,840 Speaker 1: seeing here is the idea of hypocrisy, um, the idea 627 00:39:19,000 --> 00:39:23,600 Speaker 1: of oftentimes we certainly know stories of people that say 628 00:39:23,600 --> 00:39:26,360 Speaker 1: one thing publicly and do something else completely different in 629 00:39:26,400 --> 00:39:29,239 Speaker 1: private when they don't think anybody's looking. The fact that 630 00:39:29,280 --> 00:39:32,680 Speaker 1: this person did all this stuff through a easily traceable, 631 00:39:33,160 --> 00:39:37,680 Speaker 1: public facing social media account is odd. And does maybe 632 00:39:37,719 --> 00:39:40,560 Speaker 1: imply and this person didn't think they were doing anything wrong, 633 00:39:40,680 --> 00:39:44,440 Speaker 1: and then there wasn't any you know, intent, you know, 634 00:39:44,560 --> 00:39:48,160 Speaker 1: to to perhaps have any kind of relations with any 635 00:39:48,160 --> 00:39:51,680 Speaker 1: of these individual you know, um, And that is what 636 00:39:51,719 --> 00:39:53,959 Speaker 1: the person said when it when interviewed by I believe 637 00:39:54,000 --> 00:39:59,040 Speaker 1: it's called the the Tennessee Holler. They actually found fen 638 00:40:00,040 --> 00:40:04,000 Speaker 1: And and and spoke to him, and this person just said, yeah, 639 00:40:04,200 --> 00:40:06,040 Speaker 1: he reached out to me. He kind of became friends, 640 00:40:06,040 --> 00:40:07,759 Speaker 1: and I've known each other a long time, and I 641 00:40:07,800 --> 00:40:09,400 Speaker 1: did kind of think it was a little weird he 642 00:40:09,520 --> 00:40:12,080 Speaker 1: was commenting so much with all of these hearts. But 643 00:40:12,120 --> 00:40:15,480 Speaker 1: I'm not a political person therefore, but you know, again, 644 00:40:15,560 --> 00:40:17,919 Speaker 1: like I mean, some of these pictures, there's one that's 645 00:40:17,920 --> 00:40:20,359 Speaker 1: just like a shot right up the dudes, but like 646 00:40:20,480 --> 00:40:23,960 Speaker 1: I mean, and there's nothing could be mistaken for anything, 647 00:40:24,000 --> 00:40:25,880 Speaker 1: but like kind of you know, these are sort of 648 00:40:25,880 --> 00:40:30,520 Speaker 1: these thirst traps, and it just doesn't seem like it 649 00:40:30,760 --> 00:40:34,799 Speaker 1: jives with this person's politics publicly. So therefore I do 650 00:40:35,000 --> 00:40:37,880 Speaker 1: tend to think maybe there is something going on behind 651 00:40:37,880 --> 00:40:41,000 Speaker 1: the scenes, and is also an older gentleman who perhaps 652 00:40:41,000 --> 00:40:45,960 Speaker 1: maybe is declining a little bit cognitively. I can't say, 653 00:40:46,320 --> 00:40:49,240 Speaker 1: maybe that's a problem right there. We've got legislators people 654 00:40:49,239 --> 00:40:51,400 Speaker 1: who get to write the bills who were in their seventies. 655 00:40:51,800 --> 00:40:54,279 Speaker 1: You think that is a whole other conversation. You were 656 00:40:54,280 --> 00:40:59,640 Speaker 1: absolutely right. But you know, in the South, in particular, 657 00:40:59,640 --> 00:41:01,800 Speaker 1: a lot of times, you know, we know folks that 658 00:41:02,040 --> 00:41:05,319 Speaker 1: live in the closet, you know, get married, you know, 659 00:41:05,440 --> 00:41:09,080 Speaker 1: have kids, and also have secret lives that are more 660 00:41:09,080 --> 00:41:12,960 Speaker 1: affirming with the way they actually you know, feel because 661 00:41:13,160 --> 00:41:15,600 Speaker 1: it is politically dangerous, or it has been in the past, 662 00:41:15,640 --> 00:41:18,640 Speaker 1: politically dangerous to be, you know, an out gay person 663 00:41:19,000 --> 00:41:21,799 Speaker 1: in the South. Hopefully that will change, but in a 664 00:41:21,920 --> 00:41:27,279 Speaker 1: state like Tennessee, probably not anytime soon. So, um, do 665 00:41:27,280 --> 00:41:28,960 Speaker 1: you guys have anything to add before we move on 666 00:41:29,000 --> 00:41:32,759 Speaker 1: to it to a break? No, okay, the boil, Here 667 00:41:32,800 --> 00:41:41,920 Speaker 1: comes the break. We'll be right back and we've returned, 668 00:41:42,120 --> 00:41:46,040 Speaker 1: and unfortunately, I'm so sorry about this. We know you're 669 00:41:46,040 --> 00:41:49,719 Speaker 1: on the toilet right now, Yes, you special where you 670 00:41:49,920 --> 00:41:54,239 Speaker 1: have podcasts from. If we're all on the toilet right now, 671 00:41:54,400 --> 00:41:57,840 Speaker 1: all of us, every one of us, and we're using 672 00:41:58,320 --> 00:42:01,200 Speaker 1: a couple, a couple of sheets of that fifty seven 673 00:42:01,400 --> 00:42:05,160 Speaker 1: pounds of toilet paper we each use every single year. 674 00:42:05,719 --> 00:42:10,520 Speaker 1: Nice stat, Americans use a ton of toilet paper two 675 00:42:10,680 --> 00:42:13,480 Speaker 1: way more than other countries. Yeah, that's true. If you're 676 00:42:13,480 --> 00:42:16,000 Speaker 1: not in the US, that doesn't apply to you. That 677 00:42:16,040 --> 00:42:20,240 Speaker 1: does not apply to you. Because Americans, with that stat 678 00:42:20,360 --> 00:42:23,040 Speaker 1: fifty seven pounds per person, and there are three hundred 679 00:42:23,040 --> 00:42:26,319 Speaker 1: and thirty two million of US Americans hanging out in America. 680 00:42:26,760 --> 00:42:31,880 Speaker 1: That means we use collectively nineteen billion pounds of toilet 681 00:42:31,920 --> 00:42:37,480 Speaker 1: paper every year. Whoa, jeez, whoa, that's a lot of trees. 682 00:42:37,600 --> 00:42:40,560 Speaker 1: Huh the latest. Here's a quick, quick, sorry, quick question, 683 00:42:40,560 --> 00:42:44,200 Speaker 1: like what about the like really quilted quadruple thickton Does 684 00:42:44,200 --> 00:42:48,120 Speaker 1: that count still? Is just one piece? I doubt it? Yeah, 685 00:42:48,160 --> 00:42:51,319 Speaker 1: I mean I think it probably does stat wise, But 686 00:42:51,480 --> 00:42:53,799 Speaker 1: all toilet paper, we know it's not created equal. Just 687 00:42:53,840 --> 00:42:56,920 Speaker 1: putting that out there. No, it is not created equally. 688 00:42:56,960 --> 00:43:00,919 Speaker 1: It is created trifect a lad. No, I'm just that's 689 00:43:00,920 --> 00:43:03,920 Speaker 1: not a word. It is either created by Procter and Gamble, 690 00:43:04,160 --> 00:43:07,799 Speaker 1: Kimberly Clark, or Georgia Pacific probably those are the three 691 00:43:07,800 --> 00:43:11,920 Speaker 1: major companies that make Sharman, Scott, Cottonell, Angelsoft and Quilted Northern, 692 00:43:12,440 --> 00:43:15,520 Speaker 1: the ones that most Americans see and probably use. And 693 00:43:15,600 --> 00:43:20,120 Speaker 1: it's kind of like Lexotica because those few companies create 694 00:43:20,320 --> 00:43:23,840 Speaker 1: most of the things that appear to be different brands. 695 00:43:24,040 --> 00:43:26,080 Speaker 1: And I think before we get into this, we should 696 00:43:26,080 --> 00:43:29,359 Speaker 1: probably say this is not a paid advertisement for Big 697 00:43:29,440 --> 00:43:33,480 Speaker 1: Biday No or or toilet paper. We're talking about the 698 00:43:33,480 --> 00:43:35,239 Speaker 1: brands and all that stuff with toilet paper. It's not 699 00:43:35,239 --> 00:43:37,960 Speaker 1: paid for any of that stuff, at least right now 700 00:43:38,000 --> 00:43:41,400 Speaker 1: as we record this. Maybe in the future this episode 701 00:43:41,400 --> 00:43:45,080 Speaker 1: will be sponsored by a toilet paper company or tushy 702 00:43:45,760 --> 00:43:49,000 Speaker 1: that we have spoken for before, but not now. Okay, 703 00:43:49,000 --> 00:43:51,600 Speaker 1: so now that we've established all the toilet paper stuff, 704 00:43:52,360 --> 00:43:55,200 Speaker 1: let's talk about this study. It was recently conducted out 705 00:43:55,200 --> 00:43:58,160 Speaker 1: of the University of Florida that tested a whole bunch 706 00:43:58,200 --> 00:44:02,239 Speaker 1: of different toilet paper brands from across the world, not 707 00:44:02,280 --> 00:44:04,799 Speaker 1: just in the US, but in the US as well, 708 00:44:05,719 --> 00:44:10,759 Speaker 1: checking them for forever chemicals. Can you remember those the 709 00:44:10,840 --> 00:44:13,799 Speaker 1: Teflon that's where it did its early work. At least 710 00:44:13,800 --> 00:44:15,759 Speaker 1: that's how we found out about Teflon when it really 711 00:44:15,760 --> 00:44:18,800 Speaker 1: came out big, and it's been doing a lot of 712 00:44:18,840 --> 00:44:24,040 Speaker 1: work since then, getting in everything these pf as forever 713 00:44:24,160 --> 00:44:28,520 Speaker 1: chemical carbon chains that hang around and don't break down. 714 00:44:29,160 --> 00:44:35,040 Speaker 1: They literally don't break down. Poly fluorinated alkyl substances correct 715 00:44:35,160 --> 00:44:41,319 Speaker 1: per or poly per or poly that's correct. And this 716 00:44:41,560 --> 00:44:45,000 Speaker 1: Doney just showed that every single toilet paper brand had 717 00:44:45,040 --> 00:44:48,520 Speaker 1: forever chemicals in it, every single one. Some had very 718 00:44:48,600 --> 00:44:53,319 Speaker 1: very low amounts, extremely like trace amounts, right, but all 719 00:44:53,360 --> 00:44:57,320 Speaker 1: of them had these forever chemicals, all twenty one different 720 00:44:57,560 --> 00:45:02,160 Speaker 1: toilet papers that were tested. And the worst part that 721 00:45:02,200 --> 00:45:05,160 Speaker 1: the study found is that as this toilet paper gets 722 00:45:05,320 --> 00:45:08,480 Speaker 1: used and then flushed and begins breaking down as it's 723 00:45:08,520 --> 00:45:12,120 Speaker 1: moving its way through whatever sewer system, whatever water treatment 724 00:45:12,200 --> 00:45:16,040 Speaker 1: system your city has or town or whatever. Uh, those 725 00:45:16,080 --> 00:45:20,919 Speaker 1: forever chemicals leach out into the water as as back 726 00:45:21,000 --> 00:45:24,600 Speaker 1: up into the system, I guess right, Well, potentially often 727 00:45:24,960 --> 00:45:28,040 Speaker 1: the forever chemicals get stuck in the what they call sludge. 728 00:45:28,320 --> 00:45:31,440 Speaker 1: It's the stuff that gets collected at the wastewater treatment 729 00:45:31,520 --> 00:45:34,600 Speaker 1: plants that smell delicious, don't they What do they do 730 00:45:34,640 --> 00:45:38,120 Speaker 1: with is that, like the toxic waste of of wastewater treatment? 731 00:45:38,400 --> 00:45:41,640 Speaker 1: Is there something that can be done with it? Yeah, 732 00:45:41,680 --> 00:45:49,719 Speaker 1: it's the Windy's. Uh, it's the Windy's ice cream thing. Yeah, 733 00:45:50,239 --> 00:45:56,600 Speaker 1: frosty it's also in uh playgrounds and um, I play yeah, 734 00:45:56,640 --> 00:45:59,880 Speaker 1: and I think recently it was revealed that Seth row 735 00:46:00,080 --> 00:46:02,800 Speaker 1: Get never takes off his shirt because he is sixty 736 00:46:02,800 --> 00:46:10,719 Speaker 1: percent pas Oh. Pretty fun at pretty fun and study 737 00:46:10,920 --> 00:46:19,120 Speaker 1: it's like there you go, um so so, but that 738 00:46:19,239 --> 00:46:21,440 Speaker 1: is a real problem because the sludge that gets generated 739 00:46:21,480 --> 00:46:26,560 Speaker 1: the waste of the wastewater treatment plant does often get 740 00:46:26,600 --> 00:46:29,839 Speaker 1: put somewhere in that not in the facility, but next 741 00:46:29,880 --> 00:46:32,640 Speaker 1: to the facility, basically in like a retention pond or 742 00:46:32,680 --> 00:46:34,480 Speaker 1: something like that, or a place that's just meant to 743 00:46:34,520 --> 00:46:37,320 Speaker 1: hold all that stuff, and it can, especially the forever 744 00:46:37,440 --> 00:46:41,440 Speaker 1: chemicals and other toxic substances can each back into the environment, 745 00:46:41,480 --> 00:46:46,200 Speaker 1: like the groundwater stuff like that. Um, that's bad enough, right, 746 00:46:46,880 --> 00:46:51,160 Speaker 1: just thinking about the water in this contamination. The one 747 00:46:51,280 --> 00:46:55,200 Speaker 1: thing that this study did not check out, guys, is 748 00:46:55,239 --> 00:46:59,239 Speaker 1: whether or not using the forever chemical toilet paper and 749 00:46:59,480 --> 00:47:02,959 Speaker 1: wiping it on your backside or your front side or 750 00:47:02,960 --> 00:47:05,960 Speaker 1: whatever side you're wiping it on, even blowing your nose. Uh. 751 00:47:06,520 --> 00:47:09,400 Speaker 1: It doesn't talk about if wiping those forever chemicals on 752 00:47:09,440 --> 00:47:12,200 Speaker 1: you can't affect you, which was a great interest to 753 00:47:12,280 --> 00:47:15,680 Speaker 1: us when we're hanging out off air, because first, that's 754 00:47:15,719 --> 00:47:18,319 Speaker 1: the thing most people are gonna want to know, including 755 00:47:18,800 --> 00:47:22,280 Speaker 1: some of our fellow conspiracy realists who might right now 756 00:47:22,719 --> 00:47:26,200 Speaker 1: be looking at that role of TP. We do know 757 00:47:26,280 --> 00:47:30,839 Speaker 1: for a fact that dermal absorption is a mood of 758 00:47:30,960 --> 00:47:36,000 Speaker 1: transmission for pfas. Also people use it for like taking drugs. 759 00:47:36,000 --> 00:47:39,919 Speaker 1: There's a name for it. It's called boofing. I read 760 00:47:39,960 --> 00:47:44,279 Speaker 1: that somewhere, I'm certain, or remember butt chugging, Remember that 761 00:47:44,320 --> 00:47:46,920 Speaker 1: was a whole thing. Okay, Okay, I'm saying people that 762 00:47:47,040 --> 00:47:52,040 Speaker 1: that tissue is highly absorbative. I'm not trying to be crass. 763 00:47:52,239 --> 00:47:54,880 Speaker 1: I'm saying it is, you know, a thing that people 764 00:47:55,160 --> 00:47:58,680 Speaker 1: do to to consume medication, even you know, we've got 765 00:47:58,680 --> 00:48:01,200 Speaker 1: things like but suppository. It is a way of receiving 766 00:48:01,239 --> 00:48:07,919 Speaker 1: medication legal or illegal. But oh god, but the butt, Yeah, 767 00:48:07,920 --> 00:48:11,520 Speaker 1: it's it's definitely an entrance into the nervous system. And 768 00:48:11,800 --> 00:48:15,480 Speaker 1: it does beg the question as is wiping the stuff 769 00:48:15,520 --> 00:48:19,239 Speaker 1: on there, you know, vigorously, one would hope is that 770 00:48:19,840 --> 00:48:22,640 Speaker 1: transmitting the stuff into you? And I go back to 771 00:48:22,680 --> 00:48:25,160 Speaker 1: my previous question about does this stuff leach back into 772 00:48:25,200 --> 00:48:28,160 Speaker 1: the system that then perhaps some of our perhaps less 773 00:48:28,800 --> 00:48:31,719 Speaker 1: technologically advanced, but days or then hooked back up to 774 00:48:32,160 --> 00:48:33,719 Speaker 1: So even if we are trying to cut down on 775 00:48:33,760 --> 00:48:37,719 Speaker 1: the TP, are we still getting squirted with water containing 776 00:48:37,760 --> 00:48:40,719 Speaker 1: these chemicals. That's the possibility, and it's coming from but 777 00:48:40,880 --> 00:48:43,080 Speaker 1: also you have to understand these chemicals are coming from 778 00:48:43,200 --> 00:48:48,360 Speaker 1: multiple sources. Toilet paper is getting news attention because people 779 00:48:48,520 --> 00:48:52,560 Speaker 1: are thinking about it when they're pooping, right, and they're 780 00:48:52,600 --> 00:48:56,640 Speaker 1: good and in so it's like you are right now, 781 00:48:57,200 --> 00:49:01,440 Speaker 1: we see you. Also, sorry, that's very owners of madness, 782 00:49:02,120 --> 00:49:05,960 Speaker 1: but but we uh. One thing that I love about 783 00:49:05,960 --> 00:49:09,560 Speaker 1: this is that we we read the actual study, not 784 00:49:09,680 --> 00:49:13,759 Speaker 1: just the news reports of it. And there's excellent journalism 785 00:49:13,800 --> 00:49:16,560 Speaker 1: going around about this. But it might sound it might 786 00:49:16,600 --> 00:49:19,600 Speaker 1: sound weird to some people that this study did not 787 00:49:19,719 --> 00:49:28,359 Speaker 1: address the possibility of ingesting pfas by wipe in your Australia, 788 00:49:28,560 --> 00:49:32,520 Speaker 1: you know. But but there's a reason they didn't, because 789 00:49:32,560 --> 00:49:35,000 Speaker 1: that's how science works. I mean, can you like, how 790 00:49:35,040 --> 00:49:37,680 Speaker 1: do you construct that study? How do you do that? 791 00:49:37,760 --> 00:49:40,759 Speaker 1: How do you get in people's bathrooms like that? Oh man? 792 00:49:41,520 --> 00:49:43,600 Speaker 1: This came up a little bit off air when we 793 00:49:43,600 --> 00:49:46,000 Speaker 1: were talking about the story and I mentioned that I 794 00:49:46,040 --> 00:49:51,040 Speaker 1: had heard an episode of the NPR podcast How I 795 00:49:51,080 --> 00:49:57,120 Speaker 1: Built This with Marianna Maddis and Nusha Guielli of the 796 00:49:57,320 --> 00:50:02,920 Speaker 1: company Biobot Analytics, and their whole deal is analyzing wastewater 797 00:50:03,560 --> 00:50:08,920 Speaker 1: and figuring out, like, you know, how infection vectors are spread, 798 00:50:09,000 --> 00:50:12,400 Speaker 1: for example, or even like what new drugs, you know, 799 00:50:12,440 --> 00:50:15,440 Speaker 1: street drugs are being introduced into various communities, and that 800 00:50:15,560 --> 00:50:20,480 Speaker 1: it is a very overlooked and apparently quite fertile ground 801 00:50:20,640 --> 00:50:24,160 Speaker 1: for gathering data on all kinds of things because every 802 00:50:24,280 --> 00:50:26,760 Speaker 1: like you said, Ben, everybody poops. If you're a human, 803 00:50:26,920 --> 00:50:29,360 Speaker 1: you know, everybody excretes this stuff. You don't have to 804 00:50:29,400 --> 00:50:32,160 Speaker 1: get you know, blood drawn or go to a location. 805 00:50:32,880 --> 00:50:34,600 Speaker 1: You just do it. And then it doesn't matter if 806 00:50:34,600 --> 00:50:38,799 Speaker 1: it's associated directly with an individual, because that's slurry. It's 807 00:50:38,840 --> 00:50:41,759 Speaker 1: gross to say, but it can be. You know, there 808 00:50:41,800 --> 00:50:44,640 Speaker 1: are substances that can be identified in terms of percentages 809 00:50:44,719 --> 00:50:47,680 Speaker 1: or whatever, like the same way we detect mercury levels 810 00:50:47,680 --> 00:50:49,279 Speaker 1: in water and all of that stuff. So it's a 811 00:50:49,280 --> 00:50:52,319 Speaker 1: really interesting way. And these things are regional because it 812 00:50:52,320 --> 00:50:55,319 Speaker 1: flows from the source, so you can associate that data 813 00:50:55,360 --> 00:50:58,840 Speaker 1: with individual regions of a country. That's how like this 814 00:50:59,000 --> 00:51:03,720 Speaker 1: study about cocaine in the wastewater of certain cities in Italy. 815 00:51:04,080 --> 00:51:06,160 Speaker 1: But Matt, let's let's take it back to the toilet 816 00:51:06,160 --> 00:51:10,879 Speaker 1: paper because this story is not done yet. Right. What 817 00:51:12,000 --> 00:51:15,279 Speaker 1: let's say we're the average conspiracy realist kidding everybody who 818 00:51:15,320 --> 00:51:18,960 Speaker 1: listens to this show is extraordinary. What do you what 819 00:51:19,040 --> 00:51:22,840 Speaker 1: do we need to know about the state of toilet 820 00:51:22,880 --> 00:51:28,360 Speaker 1: paper and how these chemicals or this vector for chemicals 821 00:51:28,600 --> 00:51:32,400 Speaker 1: may be addressed or maybe transmitted. Is there a policy 822 00:51:32,440 --> 00:51:34,960 Speaker 1: plan in place or is this are we still sort 823 00:51:35,000 --> 00:51:39,120 Speaker 1: of in the ocean moment. Yeah, the policy is we 824 00:51:39,200 --> 00:51:42,600 Speaker 1: need to sell more toilet paper, and also we need 825 00:51:42,680 --> 00:51:44,719 Speaker 1: to use more toilet paper, and we need to cut 826 00:51:44,719 --> 00:51:47,319 Speaker 1: down more trees, and everything's fine, and don't talk about it. 827 00:51:47,640 --> 00:51:50,920 Speaker 1: That's the policy that's in place. But again, as you 828 00:51:51,040 --> 00:51:53,960 Speaker 1: we were kind of alluding to, Ben, there's there are 829 00:51:54,080 --> 00:51:57,359 Speaker 1: these substances are in so many products that you use 830 00:51:57,440 --> 00:51:59,520 Speaker 1: every day, that I use every day, that we all 831 00:51:59,640 --> 00:52:02,759 Speaker 1: use every day. They're in It's in our blood already. 832 00:52:03,040 --> 00:52:05,319 Speaker 1: We found that out a couple of years ago. It's 833 00:52:05,360 --> 00:52:07,920 Speaker 1: in what do we talk about? There are forever chemicals 834 00:52:07,960 --> 00:52:11,240 Speaker 1: in every source of water on the planet at this point, 835 00:52:11,280 --> 00:52:16,040 Speaker 1: that has been tested for forever chemicals. Oh and microplastics. 836 00:52:16,239 --> 00:52:19,480 Speaker 1: Yeah yeah, nice little combo little ven diagram there. But 837 00:52:19,840 --> 00:52:22,920 Speaker 1: so yeah, there's no policy, guys, there's nothing you do. 838 00:52:23,120 --> 00:52:27,040 Speaker 1: You can buy like the latest, not the latest, I 839 00:52:27,040 --> 00:52:30,600 Speaker 1: think maybe the A very recent episode of south Park 840 00:52:31,040 --> 00:52:35,040 Speaker 1: featured they call them Japanese toilets, but they're just like 841 00:52:35,120 --> 00:52:40,320 Speaker 1: smart toilets, basically toilets that have a water filtration system 842 00:52:40,320 --> 00:52:43,680 Speaker 1: built into them in a bidet system that washes all 843 00:52:43,719 --> 00:52:46,239 Speaker 1: the different parts of your body. You can make it 844 00:52:46,320 --> 00:52:49,560 Speaker 1: spiral left or right, you can make it warm, cool, 845 00:52:50,200 --> 00:52:53,120 Speaker 1: all kinds of stuff. The South Park episode was focused 846 00:52:53,120 --> 00:52:56,080 Speaker 1: on that, and there's a moment, God, it's brilliant. There's 847 00:52:56,120 --> 00:53:00,880 Speaker 1: a moment where it's Jimmy take stand on a walk 848 00:53:01,160 --> 00:53:04,320 Speaker 1: and tells him the story of big toilet paper and why, 849 00:53:04,320 --> 00:53:10,040 Speaker 1: like why it's dangerous to talk about big toilet paper? Guys. 850 00:53:10,680 --> 00:53:13,440 Speaker 1: Basically the question is asking Stan was why do we 851 00:53:13,480 --> 00:53:16,600 Speaker 1: all use this toilet paper? Seventy percent of the world 852 00:53:16,640 --> 00:53:20,319 Speaker 1: of the planet doesn't use toilet paper, but we do, 853 00:53:21,040 --> 00:53:26,520 Speaker 1: all of us. Why y'all? Hmm, there's something to do 854 00:53:26,600 --> 00:53:32,400 Speaker 1: this big paper. It's not just a really cool MC handle, Matt, 855 00:53:32,400 --> 00:53:34,640 Speaker 1: What okay, So this news is broken. It's in the 856 00:53:34,640 --> 00:53:40,000 Speaker 1: public sphere, right, What are the manufacturers saying? Are there 857 00:53:40,000 --> 00:53:42,920 Speaker 1: any statements from the Georgia pacifics and this so on 858 00:53:43,040 --> 00:53:46,320 Speaker 1: and so such, you know, the big wheels of or 859 00:53:46,400 --> 00:53:50,640 Speaker 1: the big rolls of the toilet paper industry. Yeah, they said, Hey, 860 00:53:50,680 --> 00:53:53,400 Speaker 1: it's cool, guys, everything's fine. No, I don't know what 861 00:53:53,640 --> 00:53:57,040 Speaker 1: do you have a quote? I know that they I 862 00:53:57,120 --> 00:54:02,600 Speaker 1: know that several denied having as part of their manufacturing process. 863 00:54:03,360 --> 00:54:06,680 Speaker 1: So then there's there's a current there's a bit of 864 00:54:07,400 --> 00:54:11,240 Speaker 1: investigation needed, right, Like, at what point in the creation 865 00:54:11,320 --> 00:54:15,600 Speaker 1: of this stuff from a tree to your butt? At 866 00:54:15,640 --> 00:54:20,440 Speaker 1: what point are the uh, these chemicals, uh, these per 867 00:54:20,600 --> 00:54:24,640 Speaker 1: and polyfluoroalkal substances, at what point are they inserted into 868 00:54:24,680 --> 00:54:30,040 Speaker 1: the production chain? Is it maybe a third party manufacturer 869 00:54:30,040 --> 00:54:34,960 Speaker 1: of industrial equipment? Is it maybe? Um? Yeah? Is it 870 00:54:35,080 --> 00:54:38,920 Speaker 1: something that they're getting outside of their actual process that 871 00:54:39,000 --> 00:54:42,319 Speaker 1: they're not aware of? And like is it different than 872 00:54:42,320 --> 00:54:45,000 Speaker 1: the kind of teflon that we saw surrounding you know, 873 00:54:45,520 --> 00:54:48,440 Speaker 1: um the investigative reporting that was the subject of the 874 00:54:48,440 --> 00:54:50,839 Speaker 1: movie Dark Water that led to you know, people being 875 00:54:50,880 --> 00:54:54,239 Speaker 1: poisoned surrounding, or cows being killed and people, you know, 876 00:54:54,280 --> 00:54:57,400 Speaker 1: getting carcinogens in their water. I forget the exact it 877 00:54:57,440 --> 00:55:00,880 Speaker 1: almost it almost certainly. Is there so many different forms 878 00:55:01,000 --> 00:55:03,480 Speaker 1: of these forever chemicals. I'll tell you the one that 879 00:55:03,640 --> 00:55:07,560 Speaker 1: was studied in particular here in this University of Florida study, 880 00:55:07,920 --> 00:55:10,840 Speaker 1: and it's weird and I don't understand it. Not a chemist, 881 00:55:10,880 --> 00:55:16,239 Speaker 1: not a biologist. It is six colon two space d 882 00:55:16,480 --> 00:55:21,279 Speaker 1: I PAP. This is a type of forever chemical. The 883 00:55:21,480 --> 00:55:24,759 Speaker 1: problem with this one in particular is that when it 884 00:55:24,800 --> 00:55:29,480 Speaker 1: interacts with other things, biological substances like a dump like 885 00:55:29,600 --> 00:55:33,120 Speaker 1: your feces or whatever. There's a bunch of other things 886 00:55:33,160 --> 00:55:36,360 Speaker 1: that can interact with it breaks down and changes into 887 00:55:36,360 --> 00:55:39,719 Speaker 1: a couple of other different types of forever chemicals. One 888 00:55:39,760 --> 00:55:43,000 Speaker 1: of those is one of the super dangerous ones that 889 00:55:43,120 --> 00:55:46,480 Speaker 1: we did talk about. I think it's PFOA that is 890 00:55:46,719 --> 00:55:50,120 Speaker 1: one of the super dangerous ones. And this thing that 891 00:55:50,160 --> 00:55:52,839 Speaker 1: they tested for that's in the toilet paper breaks down 892 00:55:52,840 --> 00:56:00,880 Speaker 1: into it. Cool. Yeah, great, awesome, awesome. So this is 893 00:56:00,920 --> 00:56:04,880 Speaker 1: also this is instructive because Matt, you know, what this 894 00:56:04,960 --> 00:56:08,399 Speaker 1: tells me is that we are going to at least 895 00:56:08,440 --> 00:56:12,080 Speaker 1: in the US, where so many regulations are being gutted, 896 00:56:12,320 --> 00:56:19,280 Speaker 1: we are going to increasingly see near ubiquitous products things 897 00:56:19,280 --> 00:56:22,680 Speaker 1: that are part of every every person's life. We're going 898 00:56:22,719 --> 00:56:27,840 Speaker 1: to see more and more bad news coming out about 899 00:56:28,000 --> 00:56:31,800 Speaker 1: these things. I was when I was doing some research 900 00:56:31,800 --> 00:56:35,920 Speaker 1: on this is weird. I was building some stuff with tinfoil, 901 00:56:36,880 --> 00:56:39,680 Speaker 1: and I was still playing with the tinfoil while I 902 00:56:39,719 --> 00:56:44,560 Speaker 1: was reading this specific study, and I thought, oh, snap, 903 00:56:44,760 --> 00:56:47,600 Speaker 1: what about the what about the tinfoil? I mean, think 904 00:56:47,640 --> 00:56:53,000 Speaker 1: about how how strangely high certain cancer rates here are 905 00:56:53,120 --> 00:56:56,200 Speaker 1: here in the United States, And how if you adjust 906 00:56:56,280 --> 00:57:00,120 Speaker 1: for other variables, even the big no no stuff like 907 00:57:00,360 --> 00:57:05,120 Speaker 1: smoking tobacco or hard drug use, or drinking too much right, 908 00:57:05,280 --> 00:57:09,360 Speaker 1: or diet eating red meat or whatever, even if you 909 00:57:09,400 --> 00:57:14,160 Speaker 1: adjust for that, there's something screwy going on healthwise in 910 00:57:14,200 --> 00:57:18,080 Speaker 1: this country. And this feels like not the first, but 911 00:57:18,200 --> 00:57:21,080 Speaker 1: definitely not the last story of this sort. We're going 912 00:57:21,160 --> 00:57:25,560 Speaker 1: to hear. What do you think would be next toilet papers? Gone? Right? 913 00:57:25,680 --> 00:57:29,160 Speaker 1: That's bad if it's what if it's in paper towels too? 914 00:57:29,520 --> 00:57:33,120 Speaker 1: Think about how many paper towels like just throughout your day, 915 00:57:33,120 --> 00:57:35,400 Speaker 1: if you go anywhere out in the world, unless the 916 00:57:35,440 --> 00:57:40,240 Speaker 1: company is super environmentally conscious, you're probably using paper towels 917 00:57:40,360 --> 00:57:44,840 Speaker 1: or napkins, you know that aren't cloth napkins? There are. 918 00:57:44,920 --> 00:57:48,280 Speaker 1: By the way, guys found out some really fun solutions 919 00:57:48,360 --> 00:57:51,440 Speaker 1: for cloth toilet paper that you can use. They just 920 00:57:51,480 --> 00:57:55,200 Speaker 1: sit in this lovely looking basket right next to your toilet, 921 00:57:55,280 --> 00:57:58,080 Speaker 1: and you just use them. And then you've also got 922 00:57:58,120 --> 00:58:01,640 Speaker 1: a nice little closable I guess trash can type thing 923 00:58:01,640 --> 00:58:03,640 Speaker 1: that you put them in until you're ready to throw 924 00:58:03,640 --> 00:58:09,280 Speaker 1: all the dirty diaper wipes into the washing machine. Yeah, oh, 925 00:58:09,400 --> 00:58:14,120 Speaker 1: throw all the poop away. Sorry sorry, sorry laugh it 926 00:58:14,160 --> 00:58:18,080 Speaker 1: made me laugh. Astronauts use toilet paper. The problems literally 927 00:58:18,120 --> 00:58:22,120 Speaker 1: bigger than Earth. Oh no, space forever chemicals or do 928 00:58:22,160 --> 00:58:26,480 Speaker 1: you think the name comes from space? Well, you know stuff. 929 00:58:26,960 --> 00:58:30,720 Speaker 1: Here is the real solution. Everybody, just like South Park said, 930 00:58:31,480 --> 00:58:35,040 Speaker 1: just get a couple thousand dollars. However you need to 931 00:58:35,080 --> 00:58:38,600 Speaker 1: get a couple thousand dollars make it happen. Just do it. 932 00:58:38,760 --> 00:58:41,240 Speaker 1: Head on over to home depot and pick up a 933 00:58:41,760 --> 00:58:44,200 Speaker 1: I don't they have all kinds of weird names. A 934 00:58:44,320 --> 00:58:48,320 Speaker 1: really expensive toilet that filters its own water and cleans 935 00:58:48,360 --> 00:58:52,360 Speaker 1: your bottom with its little filtered spray. Ship it from Japan. 936 00:58:52,600 --> 00:58:56,800 Speaker 1: Get your toto right, justify that expense. I kind of 937 00:58:56,800 --> 00:58:59,160 Speaker 1: want one, but you gotta have an outlet. You gotta 938 00:58:59,200 --> 00:59:01,040 Speaker 1: have an outlet and stuff for those. And I don't 939 00:59:01,480 --> 00:59:02,920 Speaker 1: you know, I mean, you can't just run an extension 940 00:59:02,960 --> 00:59:05,000 Speaker 1: cord to that one by the sink. Yeah. Yeah, it's 941 00:59:05,040 --> 00:59:07,440 Speaker 1: pro it's like an appliance. Yeah, it's good heat. It's 942 00:59:07,440 --> 00:59:09,440 Speaker 1: got a heated seat. It heats the water, like I 943 00:59:09,480 --> 00:59:11,160 Speaker 1: was saying. And you know, you wouldn't want to just 944 00:59:11,240 --> 00:59:13,360 Speaker 1: run an extension cord to that one by you by 945 00:59:13,360 --> 00:59:15,400 Speaker 1: your sink, you know, where you plug your hair dryer, 946 00:59:15,440 --> 00:59:17,440 Speaker 1: and so I assume you'd have to have a special 947 00:59:17,480 --> 00:59:21,000 Speaker 1: one put in. Um, you know, just just so I'm 948 00:59:21,040 --> 00:59:25,680 Speaker 1: considering it. I'm looking in storm ASMR encouragement while you're 949 00:59:25,720 --> 00:59:30,280 Speaker 1: pooping some of that episode of Bob Burgers where Gene 950 00:59:30,640 --> 00:59:34,000 Speaker 1: kind of forms relationship with the talking Japanese toilet. That's 951 00:59:34,040 --> 00:59:37,880 Speaker 1: a great episode, really good app I hope that ASMR 952 00:59:38,040 --> 00:59:41,000 Speaker 1: was helpful to everybody. It really. That's why I brought 953 00:59:41,000 --> 00:59:43,280 Speaker 1: it up, because I think the toilet talked in that one, 954 00:59:43,320 --> 00:59:46,120 Speaker 1: and you were to me at that point imitating a 955 00:59:46,320 --> 00:59:52,040 Speaker 1: sentient Japanese Toilet Chat GPT the Future Toilet Technology or 956 00:59:52,080 --> 00:59:56,400 Speaker 1: like SCAT GPT am I right, yeah, okay, so hey, 957 00:59:56,440 --> 00:59:59,400 Speaker 1: if you want to look up the study, you can 958 00:59:59,440 --> 01:00:03,400 Speaker 1: look up her and poly fluoro alcal substances and toilet 959 01:00:03,440 --> 01:00:06,760 Speaker 1: paper and the impact on Wastewater systems. It's written by 960 01:00:06,840 --> 01:00:13,360 Speaker 1: Jake T. Thompson, Boating Chen, John A. Bowden, and Timothy G. Townsend. 961 01:00:13,720 --> 01:00:17,400 Speaker 1: You can find that again University of Florida. Search for it, 962 01:00:17,520 --> 01:00:20,040 Speaker 1: find it. Tell us what you think, tell us what 963 01:00:20,120 --> 01:00:24,600 Speaker 1: you think we should do about the toilet paper, and 964 01:00:24,760 --> 01:00:30,520 Speaker 1: tell us also what you think about hypocrisy in governance 965 01:00:30,920 --> 01:00:36,080 Speaker 1: right to what personal standard should your elected officials be held? 966 01:00:36,560 --> 01:00:40,280 Speaker 1: And then also tell us what you think about the 967 01:00:40,360 --> 01:00:43,880 Speaker 1: bank collapses that are occurring now. Is there going to 968 01:00:43,920 --> 01:00:48,600 Speaker 1: be a larger systemic shift? Is there something conspiratorial afoot? 969 01:00:48,960 --> 01:00:51,720 Speaker 1: We would love to hear your thoughts, and we try 970 01:00:51,760 --> 01:00:53,920 Speaker 1: to be easy to find online. That's right. You can 971 01:00:54,000 --> 01:00:57,080 Speaker 1: find us on Facebook, Twitter, and YouTube with the handle 972 01:00:57,200 --> 01:01:01,919 Speaker 1: conspiracy Stuff on Instagram and TikTok or conspiracy Stuff show yes. 973 01:01:01,960 --> 01:01:03,680 Speaker 1: And if you would like to use your phone and 974 01:01:03,840 --> 01:01:06,960 Speaker 1: call us to leave a voicemail, you can one, eight, 975 01:01:07,160 --> 01:01:11,000 Speaker 1: three three std wy t K. When you call in, 976 01:01:11,080 --> 01:01:13,200 Speaker 1: give yourself a cool nickname and let us know if 977 01:01:13,200 --> 01:01:15,440 Speaker 1: we can use your name and message on one of 978 01:01:15,440 --> 01:01:18,480 Speaker 1: our listener mail episodes. If you got more to say 979 01:01:18,520 --> 01:01:21,040 Speaker 1: than can fit in that three minute voicemail, why not 980 01:01:21,160 --> 01:01:23,960 Speaker 1: instead send us a good old fashioned email. We are 981 01:01:24,360 --> 01:01:46,720 Speaker 1: conspiracy at iHeartRadio dot com. Stuff they don't want you 982 01:01:46,760 --> 01:01:50,160 Speaker 1: to know. Is a production of iHeartRadio. For more podcasts 983 01:01:50,200 --> 01:01:53,440 Speaker 1: from my heart Radio, visit the iHeartRadio app, Apple Podcasts, 984 01:01:53,520 --> 01:01:55,400 Speaker 1: or wherever you listen to your favorite shows.