1 00:00:00,240 --> 00:00:04,680 Speaker 1: From UFOs to psychic powers and government conspiracies. History is 2 00:00:04,760 --> 00:00:09,080 Speaker 1: riddled with unexplained events. You can turn back now or 3 00:00:09,200 --> 00:00:12,079 Speaker 1: learn the stuff they don't want you to know. A 4 00:00:12,200 --> 00:00:25,680 Speaker 1: production of I Heart Radio. Hello, welcome back to the show. 5 00:00:25,800 --> 00:00:28,240 Speaker 1: My name is Matt, my name is Noel. They called 6 00:00:28,240 --> 00:00:30,640 Speaker 1: me ben. We are joined as always with our super 7 00:00:30,720 --> 00:00:34,879 Speaker 1: producer Alexis code named Doc Holiday Jackson. Most importantly, you 8 00:00:34,920 --> 00:00:37,760 Speaker 1: are you, You are here, and that makes this the 9 00:00:37,920 --> 00:00:41,320 Speaker 1: stuff they don't want you to know. It's the top 10 00:00:41,360 --> 00:00:43,720 Speaker 1: of the week, which means it is time for more 11 00:00:43,920 --> 00:00:48,000 Speaker 1: strange news news news news. We're doing our own s 12 00:00:48,159 --> 00:00:51,559 Speaker 1: f X right now, and this adventure is going to 13 00:00:51,720 --> 00:00:54,400 Speaker 1: take us to space, it's going to take us to 14 00:00:54,480 --> 00:00:57,720 Speaker 1: Salt Lake City, and it's going to take us quite 15 00:00:57,760 --> 00:01:03,200 Speaker 1: possibly to your face in a in a very serious 16 00:01:03,320 --> 00:01:07,560 Speaker 1: literal way. That sounds like a threat, man, it is, 17 00:01:07,600 --> 00:01:11,800 Speaker 1: but but it's not a threat. We're making fair, fair, fair, fair, fair, yes, 18 00:01:11,840 --> 00:01:14,600 Speaker 1: and in the end it won't be as dire as 19 00:01:14,600 --> 00:01:17,839 Speaker 1: it sounds. Most few things are you know? A few things? 20 00:01:18,080 --> 00:01:22,080 Speaker 1: Is that a Lincoln Park reference? Matt, uh sure? Okay? Cool? 21 00:01:22,600 --> 00:01:26,160 Speaker 1: R I p Chester Bennington and right in and let 22 00:01:26,200 --> 00:01:29,240 Speaker 1: us know your favorite Lincoln Park reference. That's one three 23 00:01:29,360 --> 00:01:31,560 Speaker 1: three S T d W y t K, or you 24 00:01:31,600 --> 00:01:35,600 Speaker 1: can emails directly Conspiracy at I heart radio dot com. 25 00:01:36,040 --> 00:01:38,360 Speaker 1: There's one person, of course, we'd love to hear from 26 00:01:38,440 --> 00:01:42,800 Speaker 1: in particular today. That will be our Power from Water 27 00:01:42,880 --> 00:01:47,400 Speaker 1: Canal diary Murray Adaway, who rode into us? Can we 28 00:01:47,440 --> 00:01:49,880 Speaker 1: say that? I guess so? Yeah? I thought he would 29 00:01:49,920 --> 00:01:55,040 Speaker 1: like to shout out. I hope he's listening to this episode. Well, Murray, 30 00:01:55,080 --> 00:01:59,720 Speaker 1: we'd we'd rather hear from you than from Jeff Bezos. 31 00:01:59,760 --> 00:02:02,120 Speaker 1: But Jeff, if you're listening and you'd like to write 32 00:02:02,120 --> 00:02:04,040 Speaker 1: to us before you go on your trip, we'd love 33 00:02:04,080 --> 00:02:06,960 Speaker 1: to hear from YouTube. Man, I have become so numb 34 00:02:07,080 --> 00:02:09,840 Speaker 1: from all the listener mail from Jeff Bezos. Is that 35 00:02:09,880 --> 00:02:15,080 Speaker 1: a Lincoln Park And so, Jeff, as you may know, 36 00:02:15,200 --> 00:02:18,600 Speaker 1: in addition to probably being a huge Lincoln Park fan, 37 00:02:19,360 --> 00:02:23,000 Speaker 1: is planning to take his own rocket ship to space. 38 00:02:23,280 --> 00:02:25,360 Speaker 1: We'll get into the details in a moment, but just 39 00:02:25,520 --> 00:02:28,680 Speaker 1: for the headline here, this may not sound like strange 40 00:02:28,720 --> 00:02:31,239 Speaker 1: news at first, right, everybody has heard of Jeff Bezos, 41 00:02:31,360 --> 00:02:36,800 Speaker 1: everybody has heard of Amazon, and most people have heard 42 00:02:37,040 --> 00:02:41,520 Speaker 1: that post divorce. He is planning to ride his own 43 00:02:41,680 --> 00:02:45,520 Speaker 1: rocket ship technically into space, not to the moon, but 44 00:02:45,680 --> 00:02:48,800 Speaker 1: just enough out of the atmosphere to be considered space. 45 00:02:49,480 --> 00:02:53,600 Speaker 1: You may have also heard that once this news broke, 46 00:02:53,960 --> 00:02:59,040 Speaker 1: a change dot org petition hit the internet, and I 47 00:02:59,080 --> 00:03:02,760 Speaker 1: am looking at it now. As of now, fifty six thousand, 48 00:03:02,960 --> 00:03:07,440 Speaker 1: two hundred and fifty nine, two hundred and sixty people 49 00:03:07,560 --> 00:03:12,560 Speaker 1: have signed a petition that is pushing to not allow 50 00:03:12,720 --> 00:03:16,480 Speaker 1: Jeff to return to Earth once he makes it to space. 51 00:03:16,800 --> 00:03:19,680 Speaker 1: You guys have heard about this, right I have. That's 52 00:03:19,720 --> 00:03:22,600 Speaker 1: kind of one of those like, you know, um jokey 53 00:03:22,639 --> 00:03:25,800 Speaker 1: symbolic petitions. They're right. I mean, it's not like there's 54 00:03:25,840 --> 00:03:28,400 Speaker 1: a change dot org petition. I don't see this going anywhere. 55 00:03:28,440 --> 00:03:30,519 Speaker 1: But it's it's a it's a nice little middle finger 56 00:03:30,560 --> 00:03:32,280 Speaker 1: to Jeff, lets them know that, you know, most people 57 00:03:32,320 --> 00:03:34,680 Speaker 1: don't care for him. Yeah, this this is the thing. 58 00:03:34,840 --> 00:03:41,240 Speaker 1: So this happened during previous presidential administrations. Uh, perhaps most notably, 59 00:03:41,760 --> 00:03:46,119 Speaker 1: UH during the Barack Obama administration, there was this statement 60 00:03:46,160 --> 00:03:50,200 Speaker 1: from the White House that said, hey, make these petitions. 61 00:03:50,280 --> 00:03:53,400 Speaker 1: Participate in your you know, be a good citizen and 62 00:03:53,480 --> 00:03:57,240 Speaker 1: participate in matters they concern you, and if a petition 63 00:03:57,560 --> 00:04:01,880 Speaker 1: hits above a certain threshold of signatures, then the White 64 00:04:01,920 --> 00:04:06,200 Speaker 1: House will address that. They didn't say they would definitely 65 00:04:06,240 --> 00:04:08,520 Speaker 1: do whatever people wanted them to do, but they said 66 00:04:08,520 --> 00:04:11,480 Speaker 1: they would address whatever the petition was about. And that 67 00:04:11,520 --> 00:04:17,400 Speaker 1: backfire beautifully because, as another president would say, they misunderestimated, uh, 68 00:04:17,560 --> 00:04:21,080 Speaker 1: the Internet and the way that the collective consciousness of 69 00:04:21,200 --> 00:04:24,440 Speaker 1: an online community works. What I mean is that a 70 00:04:24,440 --> 00:04:27,719 Speaker 1: bunch of people signed a petition for the US to 71 00:04:27,720 --> 00:04:31,800 Speaker 1: build a death Start, and then somewhere somewhere the Oval 72 00:04:31,839 --> 00:04:35,360 Speaker 1: Office somebody way, okay, all right, we got I'll walk 73 00:04:35,440 --> 00:04:39,720 Speaker 1: this back. So yeah, these change dot org petitions, they 74 00:04:39,800 --> 00:04:44,719 Speaker 1: run the gamut from serious to satirical. Right now, no fulling, 75 00:04:44,800 --> 00:04:47,400 Speaker 1: it is safe to say that this is probably a 76 00:04:47,680 --> 00:04:52,720 Speaker 1: satirical petition. First things First, let's talk a little bit 77 00:04:52,760 --> 00:04:56,520 Speaker 1: about Jeff's trip to space. We call him Jeff here 78 00:04:56,520 --> 00:04:59,239 Speaker 1: on stuff. Then, ont you know his trip to space. 79 00:04:59,480 --> 00:05:01,640 Speaker 1: It's not like landing on the Moon, which is a 80 00:05:01,680 --> 00:05:05,200 Speaker 1: much more complicated and much more expensive endeavor. Instead, he 81 00:05:05,360 --> 00:05:08,520 Speaker 1: is taking an eleven minute flight that's the total run 82 00:05:08,560 --> 00:05:12,600 Speaker 1: time to the edge of space in something called New 83 00:05:12,680 --> 00:05:16,120 Speaker 1: Shepherd he's going to be riding with his brother and 84 00:05:16,440 --> 00:05:21,960 Speaker 1: one unnamed auction winner who paid twenty eight million dollars 85 00:05:22,000 --> 00:05:25,840 Speaker 1: for the third seat. They'll be sorry. I'm sorry, there 86 00:05:26,000 --> 00:05:30,640 Speaker 1: wasn't a misspeak. That was the actual amount that person paid. Yes, yes, 87 00:05:31,000 --> 00:05:34,960 Speaker 1: twenty eight million dollars eleven minutes. You can get a 88 00:05:35,000 --> 00:05:37,359 Speaker 1: ticket to space for cheaper than that, though, right, Like, 89 00:05:37,560 --> 00:05:40,360 Speaker 1: is this just for the privilege of riding with bezos? Uh, 90 00:05:40,520 --> 00:05:46,040 Speaker 1: it's mainly the auction aspect of because people, you know, 91 00:05:46,200 --> 00:05:49,640 Speaker 1: the price probably escalated as people were you know. I 92 00:05:49,960 --> 00:05:51,520 Speaker 1: think you're right. I think part of it is the 93 00:05:51,560 --> 00:05:56,200 Speaker 1: cache of riding with the world's richest man. Uh. In 94 00:05:56,240 --> 00:05:58,240 Speaker 1: case you're curious, there is gonna be a little bit 95 00:05:58,240 --> 00:06:00,400 Speaker 1: of math in this section that does work out to 96 00:06:00,440 --> 00:06:03,719 Speaker 1: a little more than two point five million per minute. 97 00:06:04,480 --> 00:06:06,840 Speaker 1: If you're just like you know, if you're if if 98 00:06:06,880 --> 00:06:10,719 Speaker 1: you're thinking what you would do with twenty eight million dollars, 99 00:06:11,320 --> 00:06:16,680 Speaker 1: that's that's eleven minutes. I'm just imagining the largest shredder 100 00:06:16,680 --> 00:06:20,000 Speaker 1: in the world, and then someone just funneling the money 101 00:06:20,080 --> 00:06:25,719 Speaker 1: into the shredder as the rocket is Super Shredder from 102 00:06:26,080 --> 00:06:30,240 Speaker 1: T M N T two Secretive views. Yes, just like that. Okay, 103 00:06:30,440 --> 00:06:32,200 Speaker 1: I have a question. Isn't there a little bit of 104 00:06:32,200 --> 00:06:35,000 Speaker 1: controversy where like Bezos isn't even going to proper space, 105 00:06:36,080 --> 00:06:38,680 Speaker 1: like he's just going into like low Earth orbit or 106 00:06:38,720 --> 00:06:40,440 Speaker 1: something like that. Like it's sort of like a bit 107 00:06:40,440 --> 00:06:42,480 Speaker 1: of a you know, kind of like, Okay, come on, guy, 108 00:06:42,560 --> 00:06:45,200 Speaker 1: this isn't really who we're saying it is. Yeah, it's 109 00:06:45,360 --> 00:06:49,320 Speaker 1: called the Carmen line k A R M A N. 110 00:06:49,880 --> 00:06:54,240 Speaker 1: And the Carmen line is a it's an imaginary not 111 00:06:54,360 --> 00:06:58,120 Speaker 1: a physical boundary that's about sixty two miles or a 112 00:06:58,240 --> 00:07:03,240 Speaker 1: hundred kilometers above Earth's surface. When they get to that line, 113 00:07:03,760 --> 00:07:07,680 Speaker 1: the booster, the rocket booster on is going to separate 114 00:07:07,800 --> 00:07:11,320 Speaker 1: from their you know, their little dome shaped capsule, and 115 00:07:11,360 --> 00:07:14,800 Speaker 1: then that's going to float around for a little bit, 116 00:07:15,040 --> 00:07:18,960 Speaker 1: re enter the atmosphere, and then you know, parachutes it 117 00:07:19,000 --> 00:07:22,920 Speaker 1: will float back down to Earth. And Bezo said, you know, 118 00:07:23,240 --> 00:07:25,120 Speaker 1: this is a big deal to him, it's an adventure. 119 00:07:25,240 --> 00:07:27,640 Speaker 1: He wants to go on this flight because it's quote 120 00:07:27,680 --> 00:07:30,000 Speaker 1: a thing I wanted to do all my life. For 121 00:07:30,040 --> 00:07:33,640 Speaker 1: the record, Jeff, I fully agree space is cool. Getting 122 00:07:33,680 --> 00:07:37,840 Speaker 1: up there is amazing. Um staying up there, I would argue, 123 00:07:38,120 --> 00:07:43,160 Speaker 1: is even more impressive. So we're not talking about that 124 00:07:43,240 --> 00:07:45,520 Speaker 1: news itself. We just need to set the stage here. 125 00:07:46,200 --> 00:07:48,640 Speaker 1: The question is, when I read this, I can't be 126 00:07:48,680 --> 00:07:54,400 Speaker 1: the only person who is thinking, well, okay, hypothetically, could 127 00:07:54,400 --> 00:07:57,960 Speaker 1: he stay in space if he wanted to? And it 128 00:07:57,960 --> 00:08:01,440 Speaker 1: turns out there is a way to answer this question. 129 00:08:01,600 --> 00:08:05,280 Speaker 1: And first, of course, you know, obviously again we have 130 00:08:05,320 --> 00:08:09,360 Speaker 1: to emphasize that petition is satirical. I don't think anybody 131 00:08:09,480 --> 00:08:13,800 Speaker 1: is really expecting this guy to stay in space, but 132 00:08:14,120 --> 00:08:18,640 Speaker 1: if he did, how would this work? I was thinking 133 00:08:18,680 --> 00:08:23,040 Speaker 1: about this, and the best place to live for a 134 00:08:23,080 --> 00:08:27,360 Speaker 1: long period of time in space, in a and in 135 00:08:27,440 --> 00:08:31,000 Speaker 1: a place that's still like Earth orbit would be, of course, 136 00:08:31,600 --> 00:08:35,600 Speaker 1: to go to the one main space station the species has, 137 00:08:35,760 --> 00:08:38,280 Speaker 1: which is the I S S. And you guys know 138 00:08:38,320 --> 00:08:41,000 Speaker 1: about the I S S right, it's the dream destination. 139 00:08:41,480 --> 00:08:44,320 Speaker 1: And I saw like I saw a graph I think 140 00:08:44,320 --> 00:08:46,839 Speaker 1: it was being memed or whatever, people kind of poking 141 00:08:46,840 --> 00:08:49,840 Speaker 1: fun of how Jeff isn't really, you know, truly going 142 00:08:50,160 --> 00:08:53,800 Speaker 1: into proper space, but it's not. It is. It is space, 143 00:08:53,880 --> 00:08:55,480 Speaker 1: But like the I S S is not that far 144 00:08:55,520 --> 00:08:58,200 Speaker 1: off from where he's heading right, the I S S 145 00:08:58,360 --> 00:09:01,840 Speaker 1: is it's much further away from the Carmen line. It's 146 00:09:01,920 --> 00:09:05,400 Speaker 1: about two hundred and fifty four miles away from the 147 00:09:05,480 --> 00:09:10,040 Speaker 1: surface of the planet. And so I was thinking, Okay, 148 00:09:10,280 --> 00:09:14,440 Speaker 1: Jeff can't live with his two roommates in this capsule forever. 149 00:09:14,520 --> 00:09:18,439 Speaker 1: It's not designed to support somebody for that amount of time. Right, 150 00:09:18,520 --> 00:09:21,800 Speaker 1: for an indefinite amount of time. It's an eleven minute ride. 151 00:09:22,600 --> 00:09:26,560 Speaker 1: But what if he bought the I S S. The 152 00:09:26,559 --> 00:09:28,360 Speaker 1: thing is, he's one of the few people who can 153 00:09:29,360 --> 00:09:32,280 Speaker 1: The I S S cost a hundred and fifty billion 154 00:09:32,320 --> 00:09:35,600 Speaker 1: dollars U s D. His net worth right now is 155 00:09:35,679 --> 00:09:39,720 Speaker 1: two hundred point five billion dollars, so he'd still have 156 00:09:40,120 --> 00:09:44,400 Speaker 1: eighty billion eighty point five billion to play with. Not 157 00:09:44,520 --> 00:09:47,120 Speaker 1: too bad if he buys it out right. But wait, 158 00:09:47,640 --> 00:09:52,640 Speaker 1: it costs NASA three to four billion dollars a year 159 00:09:53,040 --> 00:09:58,160 Speaker 1: to operate I S S. So if we if we 160 00:09:58,280 --> 00:10:00,520 Speaker 1: do the math, he can live a there. And this 161 00:10:00,720 --> 00:10:02,760 Speaker 1: if it's four billion, not three billions, he can live 162 00:10:02,840 --> 00:10:05,400 Speaker 1: up there for twenty years. Wow. It's sort of like 163 00:10:05,440 --> 00:10:08,240 Speaker 1: the hidden costs of buying a Bugatti or something like that, 164 00:10:08,280 --> 00:10:10,600 Speaker 1: you know, or like like a McLaren like this. The 165 00:10:10,640 --> 00:10:14,400 Speaker 1: ticket price is like, you know, two thousand dollars or whatever, 166 00:10:14,440 --> 00:10:18,440 Speaker 1: but it costs literally thousands of dollars um a year 167 00:10:18,640 --> 00:10:21,640 Speaker 1: just to maintain it, to do the proper approved uh 168 00:10:21,800 --> 00:10:26,000 Speaker 1: you know, maintenance for those types of vehicles exactly. And yeah, 169 00:10:26,040 --> 00:10:28,679 Speaker 1: it's the maintenance that gets you. It's also not just 170 00:10:28,760 --> 00:10:32,320 Speaker 1: the maintenance on the hardware or should I say space where, 171 00:10:32,840 --> 00:10:36,400 Speaker 1: it's also the maintenance on the human where. Because one 172 00:10:36,440 --> 00:10:39,200 Speaker 1: of the reasons the astronauts have not spent more time 173 00:10:39,240 --> 00:10:43,360 Speaker 1: in space is it's not just the tremendous, preposterous cost, 174 00:10:43,760 --> 00:10:48,479 Speaker 1: it's also the exposure to space radiation, long term effects 175 00:10:48,559 --> 00:10:51,800 Speaker 1: of living in an environment that humans were not evolved 176 00:10:51,920 --> 00:10:54,080 Speaker 1: to live within. We talked about this a little bit 177 00:10:54,080 --> 00:10:57,800 Speaker 1: in the past, but Jeff would also uh you know, 178 00:10:57,920 --> 00:11:02,480 Speaker 1: he would have an increased risk of cancer, heart disease, cataracts. 179 00:11:02,840 --> 00:11:08,360 Speaker 1: There were some experiments with sex in space by a 180 00:11:08,360 --> 00:11:12,280 Speaker 1: couple of space agencies, well by some astronauts acting on 181 00:11:12,320 --> 00:11:16,320 Speaker 1: their own accord. Okay, Sanasa didn't like officially no, but 182 00:11:16,880 --> 00:11:20,640 Speaker 1: sex in space is complicated because of your circulation. It's 183 00:11:20,920 --> 00:11:24,320 Speaker 1: not a ton of fun. You need equipment, velcro straps 184 00:11:24,360 --> 00:11:27,600 Speaker 1: and stuff. So his Maine that for his regular I 185 00:11:27,600 --> 00:11:33,520 Speaker 1: mean the traps and stuff it is. It wasn't missionary 186 00:11:33,559 --> 00:11:36,679 Speaker 1: the most popular position because it was like just logistically speaking, 187 00:11:36,679 --> 00:11:39,839 Speaker 1: because it like gave you like purchase more so than 188 00:11:39,880 --> 00:11:44,120 Speaker 1: like say O, I think it was because I think 189 00:11:44,120 --> 00:11:47,880 Speaker 1: it's because astronauts were kind of vanilla. But they probably 190 00:11:47,880 --> 00:11:49,800 Speaker 1: walked through it. They probably walked through a couple of 191 00:11:49,800 --> 00:11:53,840 Speaker 1: different case tests because that is how science works. So Jeff, 192 00:11:54,040 --> 00:11:57,360 Speaker 1: Jeff's love life would take a hit. His he would 193 00:11:57,400 --> 00:12:02,079 Speaker 1: have increased health risk, his bone density would suffer, and 194 00:12:02,120 --> 00:12:06,439 Speaker 1: that means that eventually it would be physically very difficult 195 00:12:06,559 --> 00:12:10,600 Speaker 1: for him to return to Earth. Therefore, because we're doing 196 00:12:10,640 --> 00:12:13,360 Speaker 1: this thought experiment, and therefore, all you would need to 197 00:12:13,400 --> 00:12:19,040 Speaker 1: do is convince him to stay up there in space, 198 00:12:19,440 --> 00:12:22,080 Speaker 1: you know, two fifty plus miles from the surface of 199 00:12:22,080 --> 00:12:25,360 Speaker 1: the Earth, longer than anyone else, and his body would 200 00:12:25,400 --> 00:12:28,560 Speaker 1: ultimately make it impossible for him to safely return. For 201 00:12:28,640 --> 00:12:33,000 Speaker 1: the record, the longest time spent in space is four 202 00:12:33,080 --> 00:12:35,920 Speaker 1: hundred and thirty seven days. That is a record that 203 00:12:35,960 --> 00:12:40,440 Speaker 1: goes to Valerie Bullie Cough. He spent that time continuously 204 00:12:40,559 --> 00:12:43,199 Speaker 1: in space, So just the whole time is in space. 205 00:12:43,280 --> 00:12:46,040 Speaker 1: It's not counting flying back down, flying back up, if 206 00:12:46,120 --> 00:12:48,080 Speaker 1: if I could, if I could make a way too 207 00:12:48,200 --> 00:12:51,120 Speaker 1: late in the game joke, it's definitely clear that Bezos 208 00:12:51,120 --> 00:12:53,840 Speaker 1: would need the whole I s s to himself because 209 00:12:53,880 --> 00:12:55,880 Speaker 1: he'd like suck all the air out of the place. 210 00:12:56,040 --> 00:12:57,920 Speaker 1: You know, there would be would be none left for 211 00:12:57,960 --> 00:13:02,880 Speaker 1: anyone else. He probably would need a support staff unless 212 00:13:02,920 --> 00:13:06,600 Speaker 1: he's going to learn a ton of stuff about maintaining 213 00:13:06,600 --> 00:13:09,800 Speaker 1: a space station. But you know, I imagine there's one 214 00:13:09,920 --> 00:13:13,920 Speaker 1: other intervening variable, which is that he could pour his 215 00:13:14,000 --> 00:13:19,360 Speaker 1: tremendous fortune into researching ways to improve the station, which 216 00:13:19,360 --> 00:13:23,160 Speaker 1: which might might change things. Uh. But but with that 217 00:13:23,240 --> 00:13:26,720 Speaker 1: in mind, because I didn't really see anybody doing doing 218 00:13:26,760 --> 00:13:30,559 Speaker 1: the math there. With that in mind, I have to 219 00:13:30,679 --> 00:13:34,880 Speaker 1: ask you all, would you, if you could, would you 220 00:13:34,920 --> 00:13:38,880 Speaker 1: stay in space for twenty years? No? No, no. But 221 00:13:38,960 --> 00:13:41,280 Speaker 1: if I were a billionaire, I would convince a lot 222 00:13:41,360 --> 00:13:44,240 Speaker 1: of people who weren't billionaires that they need to go 223 00:13:44,280 --> 00:13:47,360 Speaker 1: to Mars because it's really important to be on Mars 224 00:13:47,520 --> 00:13:50,880 Speaker 1: and or in space. And I would recommission the Mere 225 00:13:50,960 --> 00:13:54,280 Speaker 1: Space station, and I would build seven more of them, 226 00:13:54,640 --> 00:13:57,120 Speaker 1: and I would say, hey, you guys really got to 227 00:13:57,160 --> 00:13:59,840 Speaker 1: get up there. It's great and we need your help 228 00:13:59,880 --> 00:14:03,480 Speaker 1: in humanity need you because Earth is dying, so get 229 00:14:03,520 --> 00:14:05,800 Speaker 1: out of here and go save us. And then I 230 00:14:05,840 --> 00:14:08,400 Speaker 1: would drink of my tie. I was. I was also 231 00:14:08,520 --> 00:14:12,480 Speaker 1: thinking of our conversation with Linkston, you know about that, 232 00:14:12,600 --> 00:14:16,080 Speaker 1: and that was yeah, yeah, you know what we have 233 00:14:16,160 --> 00:14:17,840 Speaker 1: to watch out for it. I don't think I said 234 00:14:17,880 --> 00:14:20,120 Speaker 1: this in our conversation on here, but what you have 235 00:14:20,160 --> 00:14:22,080 Speaker 1: to watch out for, folks, when it comes to space 236 00:14:22,120 --> 00:14:28,360 Speaker 1: travel is when going to Mars becomes a punishment for something, right, 237 00:14:28,440 --> 00:14:31,480 Speaker 1: like in the UK was shipping people off to Australia. 238 00:14:32,000 --> 00:14:37,800 Speaker 1: If Mars ever becomes a punishment, then watch out, right, Uh, 239 00:14:38,360 --> 00:14:41,400 Speaker 1: it won't matter then whether or not you are a billionaire, 240 00:14:41,440 --> 00:14:44,560 Speaker 1: whether or not you are Jeff Bezos, I'm with you, guys. 241 00:14:44,720 --> 00:14:48,560 Speaker 1: I agree. I don't. I don't think at this point 242 00:14:48,640 --> 00:14:51,880 Speaker 1: it's uh, it's a good idea for a human being 243 00:14:51,920 --> 00:14:55,840 Speaker 1: to spend that much time and space unless you're planning 244 00:14:55,880 --> 00:14:58,360 Speaker 1: on a one way trip. And if that's what you're planning, 245 00:14:59,520 --> 00:15:02,320 Speaker 1: go for their go full voyager, you know what I mean, 246 00:15:03,080 --> 00:15:06,960 Speaker 1: see things no one else has seen otherwise it just 247 00:15:07,000 --> 00:15:10,600 Speaker 1: be a really weird flex. You're not you're not even 248 00:15:10,640 --> 00:15:14,520 Speaker 1: at the moon. You're just kind of outside the window 249 00:15:14,880 --> 00:15:18,880 Speaker 1: of humanity. Didn't China just China just launched, yes, a 250 00:15:18,960 --> 00:15:22,640 Speaker 1: space station, Sean Gong. I don't know how to say 251 00:15:22,640 --> 00:15:25,680 Speaker 1: it correctly, but they like very recently, I think within 252 00:15:25,720 --> 00:15:29,120 Speaker 1: a month or two previously to this episode, they sent 253 00:15:29,280 --> 00:15:33,080 Speaker 1: up I know, they just sent up crew for the 254 00:15:33,120 --> 00:15:36,040 Speaker 1: space station. That's right, Yeah, you're right, And that's actually 255 00:15:36,280 --> 00:15:43,120 Speaker 1: uh that's it's orbit is between two D two eight miles. 256 00:15:43,120 --> 00:15:45,760 Speaker 1: But I'm thinking, you know, if you're a shrewd businessman 257 00:15:45,840 --> 00:15:48,840 Speaker 1: like Jeff Bezos, you know, go for the gently used 258 00:15:48,920 --> 00:15:51,880 Speaker 1: version because it's also the one that's been proven to 259 00:15:52,080 --> 00:15:56,560 Speaker 1: be sustainable. Right, So we'll pause for a second for 260 00:15:56,680 --> 00:16:00,240 Speaker 1: word from our sponsor. Will return with more strange news 261 00:16:00,360 --> 00:16:04,360 Speaker 1: before we go. Let us know what you think, what 262 00:16:04,480 --> 00:16:07,120 Speaker 1: you think the future of space travel is, or what 263 00:16:07,200 --> 00:16:10,840 Speaker 1: you think it should be. Satirical as well as serious answers. 264 00:16:11,200 --> 00:16:14,640 Speaker 1: Please whatever the spirit moves you to do, as that 265 00:16:14,720 --> 00:16:25,440 Speaker 1: creepy guy in Poltergeist says, all are welcome, all right, 266 00:16:25,560 --> 00:16:29,160 Speaker 1: and we're back. And I hope just as planned. You 267 00:16:29,200 --> 00:16:34,440 Speaker 1: heard of Mabeline commercial just before this segment. Maybe it's 268 00:16:36,280 --> 00:16:41,680 Speaker 1: maybe it's cancered. I mean, well maybe. Uh yeah. Let's 269 00:16:41,720 --> 00:16:45,960 Speaker 1: let's begin here with a CNN article from almost exactly 270 00:16:46,080 --> 00:16:51,480 Speaker 1: one week ago. Makeup may contain potentially toxic chemicals called 271 00:16:51,800 --> 00:16:58,240 Speaker 1: p FAST or p F A S study fines. Uh okay, yeah, 272 00:16:58,280 --> 00:17:01,280 Speaker 1: what is that toxic? I don't like that toxic chemicals? 273 00:17:01,400 --> 00:17:05,199 Speaker 1: Um in my makeup. I don't like the sound of that. Well, 274 00:17:06,080 --> 00:17:08,240 Speaker 1: you shouldn't like the sound of that. It's not good. 275 00:17:10,000 --> 00:17:12,679 Speaker 1: There has been a lot of reporting on this since 276 00:17:13,080 --> 00:17:15,359 Speaker 1: this this initial article, at least that I saw in 277 00:17:15,440 --> 00:17:18,199 Speaker 1: CNN Health um, and you may have read some, may 278 00:17:18,200 --> 00:17:20,040 Speaker 1: have seen some on your phone. I just want to 279 00:17:20,080 --> 00:17:23,240 Speaker 1: break this down a little bit because we have discussed 280 00:17:23,359 --> 00:17:28,480 Speaker 1: these chemicals before many times in many different scenarios, and 281 00:17:28,920 --> 00:17:31,480 Speaker 1: this is just the latest one. So this won't be 282 00:17:31,520 --> 00:17:33,680 Speaker 1: too long. I promise, I'm not gonna put you all through. 283 00:17:34,760 --> 00:17:37,800 Speaker 1: Oh man, there's more dangerous chemicals in my body now, 284 00:17:39,359 --> 00:17:41,760 Speaker 1: like you know this that should be a segment. Is 285 00:17:41,800 --> 00:17:44,760 Speaker 1: that the name of the segment. There's more dangerous chemicals 286 00:17:44,760 --> 00:17:49,480 Speaker 1: in my body? Now, that's really But this is important. 287 00:17:49,720 --> 00:17:52,800 Speaker 1: This is important, and people need to know it is. 288 00:17:53,240 --> 00:17:55,560 Speaker 1: So there is a new study. You can find it 289 00:17:55,720 --> 00:18:00,639 Speaker 1: right now if you wish. You can look up laurinated 290 00:18:00,880 --> 00:18:06,960 Speaker 1: compounds in North American cosmetics. It is available online most 291 00:18:07,320 --> 00:18:10,959 Speaker 1: I think actually the entire paper is online, or at 292 00:18:11,000 --> 00:18:13,879 Speaker 1: least much of it is. You can search for that 293 00:18:13,920 --> 00:18:17,679 Speaker 1: and find it, and that is very That is an 294 00:18:17,760 --> 00:18:21,359 Speaker 1: unlikely scenario. Usually if you are looking for a study 295 00:18:21,400 --> 00:18:25,960 Speaker 1: like this, you have to pay for an article or something. Yeah, 296 00:18:26,280 --> 00:18:28,400 Speaker 1: real quick, there is one work around, and it's very 297 00:18:28,400 --> 00:18:33,600 Speaker 1: important that people know this. So uh we I've been 298 00:18:33,600 --> 00:18:36,520 Speaker 1: thinking about this. We need to do an episode on 299 00:18:36,960 --> 00:18:41,200 Speaker 1: the grift of academic publications in the meantime while we're 300 00:18:41,200 --> 00:18:43,560 Speaker 1: researching that. And there very much is a conspiracy in 301 00:18:43,600 --> 00:18:46,760 Speaker 1: a grift. Let me give me a little life pro 302 00:18:46,920 --> 00:18:50,720 Speaker 1: tip here. All you need is the name of the author, 303 00:18:51,119 --> 00:18:54,320 Speaker 1: the name of the scholar who created that. They will 304 00:18:54,400 --> 00:18:57,280 Speaker 1: have they will typically if they're alive, they will have 305 00:18:57,400 --> 00:19:00,000 Speaker 1: some sort of email or contact. And if you contact 306 00:19:00,000 --> 00:19:03,320 Speaker 1: act them directly and you ask them yourself for the 307 00:19:03,359 --> 00:19:05,320 Speaker 1: paper and just say, you know, I want to read 308 00:19:05,320 --> 00:19:06,960 Speaker 1: it because I'm interested, or i want to read it 309 00:19:06,960 --> 00:19:10,640 Speaker 1: because I'm doing research for something. Then nine times out 310 00:19:10,680 --> 00:19:14,520 Speaker 1: of ten, they will happily send you a copy so 311 00:19:14,680 --> 00:19:17,200 Speaker 1: you can get around the system that way if you wish. 312 00:19:17,240 --> 00:19:20,720 Speaker 1: But you're right, Matt, a lot of those papers are 313 00:19:21,000 --> 00:19:23,360 Speaker 1: and some of them are even taxpayer funded, and you're 314 00:19:23,400 --> 00:19:26,080 Speaker 1: not allowed to read them without paying a fine or 315 00:19:26,080 --> 00:19:28,760 Speaker 1: a That is excellent advice, But it's true. I am 316 00:19:28,800 --> 00:19:32,040 Speaker 1: interested in your thoughts on the the grift aspect of 317 00:19:32,040 --> 00:19:35,480 Speaker 1: it because I imagine you know who. I wonder who's 318 00:19:35,480 --> 00:19:37,879 Speaker 1: getting that money. But that's it's it's it's sort of 319 00:19:37,920 --> 00:19:41,320 Speaker 1: like a you know, newspaper sites where if you go 320 00:19:41,359 --> 00:19:44,560 Speaker 1: into private browsing mode you don't have to pay. Let's 321 00:19:44,600 --> 00:19:46,359 Speaker 1: you think they would have found a way around by now, 322 00:19:47,119 --> 00:19:49,640 Speaker 1: and Ben, I love that your your workaround will be 323 00:19:50,240 --> 00:19:53,479 Speaker 1: highly effective until a lot of us start doing it 324 00:19:53,560 --> 00:19:57,800 Speaker 1: and then all of these researchers are just getting emails. Hey, 325 00:19:58,720 --> 00:20:02,960 Speaker 1: Ben told me, I can just email you. Oh yeah, yeah, 326 00:20:03,160 --> 00:20:05,400 Speaker 1: tell them you know, and if they have a problem 327 00:20:05,440 --> 00:20:07,680 Speaker 1: with it, please send them to our complaint department, which 328 00:20:07,800 --> 00:20:20,120 Speaker 1: is Jonathan Strickland. Uh. Anyway, yes, you're right. Sorry, Jonathan 329 00:20:20,119 --> 00:20:23,400 Speaker 1: says he receives very little and from the complaint department, 330 00:20:23,480 --> 00:20:27,119 Speaker 1: we're doing well no complaints. Yeah, yeah, yeah. We usually 331 00:20:27,280 --> 00:20:29,600 Speaker 1: our complaints end up as iTunes reviews them. But that's 332 00:20:29,640 --> 00:20:33,280 Speaker 1: it's something that's right. So let's let's jump into this study. 333 00:20:33,560 --> 00:20:37,040 Speaker 1: It examined two hundred and thirty one cosmetic products that 334 00:20:37,080 --> 00:20:39,800 Speaker 1: are sold either in Canada or in the United States 335 00:20:39,880 --> 00:20:45,040 Speaker 1: were both UH. And here's the big takeaway. Of those 336 00:20:45,080 --> 00:20:49,560 Speaker 1: products that they tested contained some amount of these p face. 337 00:20:49,680 --> 00:20:51,960 Speaker 1: I'm gonna call him that because that's what a ton 338 00:20:52,000 --> 00:20:55,680 Speaker 1: of the news outlets are calling this. But p f 339 00:20:55,840 --> 00:21:00,600 Speaker 1: A s UH. It stands for something it's pre or 340 00:21:00,720 --> 00:21:05,320 Speaker 1: polly fluoro alkal substances. Okay, these are We've talked about 341 00:21:05,320 --> 00:21:09,200 Speaker 1: this before. These are carbon or fluorine based chemicals. They're 342 00:21:09,320 --> 00:21:13,560 Speaker 1: man made. They're highly resistant to breaking down in any way, 343 00:21:13,600 --> 00:21:17,000 Speaker 1: so heat doesn't really break them down. If you apply 344 00:21:17,200 --> 00:21:21,639 Speaker 1: oils to them or water to them, these compounds just 345 00:21:21,720 --> 00:21:26,560 Speaker 1: kind of stick around. That's why they call them forever chemicals. Um. 346 00:21:26,680 --> 00:21:28,960 Speaker 1: The thing you should know is that they're super useful 347 00:21:29,200 --> 00:21:34,480 Speaker 1: in all kinds of applications for products across the human spectrum, 348 00:21:34,520 --> 00:21:36,399 Speaker 1: and they have been in use for a long time 349 00:21:36,680 --> 00:21:38,320 Speaker 1: and they continue to be used for a ton of 350 00:21:38,359 --> 00:21:41,399 Speaker 1: applications right now. I'm just trying to remember, guys. I know, 351 00:21:41,440 --> 00:21:44,359 Speaker 1: we talked about them with regards to teflon and non 352 00:21:44,440 --> 00:21:49,040 Speaker 1: stick surface applications. We talked about them in firefighting foam 353 00:21:49,520 --> 00:21:52,800 Speaker 1: and I believe pesticides, but I wasn't sure. I know, 354 00:21:52,880 --> 00:21:56,680 Speaker 1: there's other big things that these things are in paints, 355 00:21:57,680 --> 00:22:00,639 Speaker 1: waterproof fabrics, which is a weird one that OR thought about. 356 00:22:00,920 --> 00:22:04,919 Speaker 1: In fast food packaging. I had no idea that the 357 00:22:05,040 --> 00:22:08,560 Speaker 1: special part of your fast food packaging that prevents the 358 00:22:08,600 --> 00:22:11,720 Speaker 1: oils and other things from getting you know, attached, or 359 00:22:11,720 --> 00:22:16,280 Speaker 1: the cheese from attaching or whatever it is. Yeah, it's 360 00:22:16,280 --> 00:22:20,600 Speaker 1: actually these things, just coding them, and yeah, you're probably 361 00:22:20,720 --> 00:22:22,960 Speaker 1: ingesting it every time you get take out. And it 362 00:22:23,040 --> 00:22:24,959 Speaker 1: was the same kind of stuff that makes things like 363 00:22:25,200 --> 00:22:28,439 Speaker 1: moisture repellent when you see like the water droplets kind 364 00:22:28,480 --> 00:22:30,639 Speaker 1: of beat up. Like I believe three M makes a 365 00:22:30,680 --> 00:22:32,560 Speaker 1: chemical like that that you can spray on things that 366 00:22:32,600 --> 00:22:35,200 Speaker 1: will cause them to be like literally cause moisture to 367 00:22:35,520 --> 00:22:37,399 Speaker 1: not soak in but like turn into a beat and 368 00:22:37,400 --> 00:22:41,199 Speaker 1: just roll right off. Often, water resistance is one of 369 00:22:41,200 --> 00:22:46,080 Speaker 1: the big selling factors for these chemicals, which brings us 370 00:22:46,119 --> 00:22:51,680 Speaker 1: to cosmetics. Why would it be in cosmetics. Well, one 371 00:22:51,680 --> 00:22:54,960 Speaker 1: of the problems with lots of different kinds of makeup. 372 00:22:55,160 --> 00:22:56,879 Speaker 1: And before you think, oh, Matt, what do you know 373 00:22:56,880 --> 00:23:03,080 Speaker 1: about makeup? Hey? Yeah, what do you wait? Hey? Hey, okay, 374 00:23:03,240 --> 00:23:05,679 Speaker 1: I used to I used to do all my own makeup. Okay, 375 00:23:05,800 --> 00:23:08,640 Speaker 1: I know the basis, I know, I know all the things. 376 00:23:08,760 --> 00:23:12,720 Speaker 1: I know how to apply to Oh, I can contour, baby, 377 00:23:12,840 --> 00:23:14,880 Speaker 1: I can do it all. Can you do a smoky eye? 378 00:23:14,960 --> 00:23:18,000 Speaker 1: And are you or are you not married to a woman? 379 00:23:18,600 --> 00:23:22,080 Speaker 1: I am married to an incredible artist when it comes 380 00:23:22,119 --> 00:23:25,680 Speaker 1: to makeup. Yes, so I know more about it than 381 00:23:25,720 --> 00:23:28,119 Speaker 1: you may think. But the point of this is to 382 00:23:28,160 --> 00:23:33,800 Speaker 1: say one of the primary issues with makeup is that 383 00:23:33,800 --> 00:23:35,960 Speaker 1: that's not a primary issue. It's one of the big 384 00:23:36,440 --> 00:23:38,919 Speaker 1: I don't know, what you would call annoyances with makeup 385 00:23:39,080 --> 00:23:42,399 Speaker 1: is the need to constantly touch up or reapply or 386 00:23:42,480 --> 00:23:45,240 Speaker 1: like just keep putting stuff on your face to make 387 00:23:45,280 --> 00:23:47,040 Speaker 1: sure it looks the way you wanted it to when 388 00:23:47,080 --> 00:23:49,679 Speaker 1: you got up and you did your makeup in the morning. Well, 389 00:23:50,000 --> 00:23:52,639 Speaker 1: companies responded and they said, well, we'll make products for 390 00:23:52,680 --> 00:23:54,440 Speaker 1: you that are going to stay exactly where they are 391 00:23:54,920 --> 00:23:56,399 Speaker 1: if you sweat. It's not gonna be a problem if 392 00:23:56,400 --> 00:23:58,040 Speaker 1: you get some water on your face, you know, if 393 00:23:58,040 --> 00:24:00,800 Speaker 1: you're washing your hands or something, whatever's occur, it's not 394 00:24:00,840 --> 00:24:04,600 Speaker 1: gonna come off. It's gonna look good. Well, the way 395 00:24:04,640 --> 00:24:06,560 Speaker 1: they fixed it, the way they got to that point, 396 00:24:06,640 --> 00:24:09,320 Speaker 1: was by adding these chemicals. And you know, that's not 397 00:24:09,359 --> 00:24:13,040 Speaker 1: to say every makeup company is doing this. That's not 398 00:24:13,119 --> 00:24:17,480 Speaker 1: to say that every brand has these things in them, 399 00:24:18,160 --> 00:24:23,480 Speaker 1: but it's a trend. It's a big trend, and there's 400 00:24:23,520 --> 00:24:26,440 Speaker 1: some screwy stuff going on in here because a lot 401 00:24:26,520 --> 00:24:30,320 Speaker 1: of these companies aren't adding these things, these chemicals into 402 00:24:30,400 --> 00:24:35,800 Speaker 1: their ingredients lists. Right, So let's let's talk about what 403 00:24:35,840 --> 00:24:38,960 Speaker 1: this study found. We said the products that were tested 404 00:24:39,640 --> 00:24:44,119 Speaker 1: of those two one products had these p F A 405 00:24:44,200 --> 00:24:47,040 Speaker 1: S S, p fos in them. Let's look at the 406 00:24:47,080 --> 00:24:52,040 Speaker 1: actual percentages. Thirty six percent of the concealers they tested 407 00:24:52,800 --> 00:24:57,160 Speaker 1: had these things of face products a general face products 408 00:24:57,160 --> 00:25:02,360 Speaker 1: like brush powders, bronze ER's, highlighters, primer, all that kind 409 00:25:02,359 --> 00:25:07,240 Speaker 1: of stuff. Of Mascarra's that was the one that I 410 00:25:07,280 --> 00:25:09,440 Speaker 1: thought would have the most. To be honest, she has 411 00:25:09,560 --> 00:25:11,560 Speaker 1: right because you're supposed to. It is supposed to have 412 00:25:12,040 --> 00:25:15,600 Speaker 1: staying power. Right, you want waterproof mascary, Well, the old 413 00:25:15,680 --> 00:25:18,280 Speaker 1: joke is that like you know, somebody crying and their 414 00:25:18,320 --> 00:25:23,200 Speaker 1: mascara running, for example. This tech theoretically prevents that. Same 415 00:25:23,280 --> 00:25:25,960 Speaker 1: with the like kissable lipstick, right that doesn't come off 416 00:25:26,040 --> 00:25:29,359 Speaker 1: or smear when you give somebody a smooch. That's the 417 00:25:29,440 --> 00:25:35,320 Speaker 1: next one of lip products, lipsticks, glosses, shadows, liners, all 418 00:25:35,359 --> 00:25:38,760 Speaker 1: that kind of stuff. Even lip balm had this stuff 419 00:25:38,760 --> 00:25:43,479 Speaker 1: in the lip balmb Well, there's another thing that at 420 00:25:43,520 --> 00:25:49,440 Speaker 1: least according to the the National Law Review, UH, one 421 00:25:49,440 --> 00:25:51,399 Speaker 1: of the other big things and from the study, one 422 00:25:51,400 --> 00:25:54,199 Speaker 1: of the other big things that these substances can do, 423 00:25:54,280 --> 00:25:58,040 Speaker 1: these chemicals is give you that glossy kind of wet look, 424 00:25:58,320 --> 00:26:01,520 Speaker 1: and that is very popular right out like the shiny, 425 00:26:01,520 --> 00:26:04,399 Speaker 1: glossy wet look. These things can help out with that too, 426 00:26:04,440 --> 00:26:08,560 Speaker 1: and that is very common with lipsticks and lip products. 427 00:26:09,240 --> 00:26:11,959 Speaker 1: And for my money, that's the most dangerous product in 428 00:26:12,040 --> 00:26:15,919 Speaker 1: here because it's on your lips, which are already you know, 429 00:26:16,040 --> 00:26:18,640 Speaker 1: you absorb more things through your lips than you would 430 00:26:18,680 --> 00:26:20,600 Speaker 1: on any other part of your skin or your eyes 431 00:26:20,760 --> 00:26:23,560 Speaker 1: in this area. But if you know, if it's on 432 00:26:23,600 --> 00:26:26,679 Speaker 1: your lips. You're probably you are for sure licking your 433 00:26:26,720 --> 00:26:28,399 Speaker 1: lips at some point, getting a little bit of that 434 00:26:28,440 --> 00:26:31,640 Speaker 1: substance directly into your body by ingesting it. And if 435 00:26:31,640 --> 00:26:34,560 Speaker 1: they've got forever chemicals, every time you do that, get 436 00:26:34,600 --> 00:26:36,600 Speaker 1: the tiny dose, not to mention passing it on to 437 00:26:36,720 --> 00:26:39,359 Speaker 1: a partner or a child, potentially like with you know, 438 00:26:39,520 --> 00:26:43,120 Speaker 1: kisses on the cheek or the lips. As a fellow 439 00:26:44,119 --> 00:26:47,080 Speaker 1: theater person, I'm still actually in a sketch comedy group. 440 00:26:47,359 --> 00:26:51,760 Speaker 1: I'm wondering, if you know. The troubling thing about this 441 00:26:52,000 --> 00:26:56,680 Speaker 1: is that the it doesn't seem to matter, uh what 442 00:26:56,760 --> 00:26:59,000 Speaker 1: kind of price point you're buying at right even if 443 00:26:59,040 --> 00:27:02,640 Speaker 1: you're getting the discount Halloween dollar store makeup or if 444 00:27:02,640 --> 00:27:07,600 Speaker 1: you're going to uh Sephora, that's the one. It'll it'll 445 00:27:07,640 --> 00:27:09,680 Speaker 1: still contain wait for it, because I know how to 446 00:27:09,720 --> 00:27:20,000 Speaker 1: pronounce this poly tetra floro etht yes, yes, um, all 447 00:27:20,040 --> 00:27:24,080 Speaker 1: the all the polyfloro alcohols are in there again And 448 00:27:24,119 --> 00:27:26,080 Speaker 1: it doesn't matter. You're right, The price point doesn't matter 449 00:27:26,200 --> 00:27:29,919 Speaker 1: if it's mac, if it's neutro gena, whatever you're getting it. 450 00:27:30,040 --> 00:27:33,760 Speaker 1: Maybe because and I haven't even finished the list yet, 451 00:27:33,800 --> 00:27:36,520 Speaker 1: but The reason why we don't know right now is 452 00:27:36,560 --> 00:27:41,920 Speaker 1: because this study does not name specific brands, at least, 453 00:27:41,960 --> 00:27:45,680 Speaker 1: it does not say whether specific brands have have these 454 00:27:45,720 --> 00:27:49,560 Speaker 1: substances in them. It's it's almost like an initial It 455 00:27:49,680 --> 00:27:52,159 Speaker 1: is really an initial study in a lot of ways 456 00:27:52,480 --> 00:27:56,840 Speaker 1: to identify if it was a problem. Now, from this 457 00:27:56,920 --> 00:27:59,840 Speaker 1: point forward, there's gonna be a lot more testing of 458 00:27:59,880 --> 00:28:02,199 Speaker 1: a lot more products to see which ones exactly have 459 00:28:02,280 --> 00:28:04,840 Speaker 1: it in them. And as we're going to talk about 460 00:28:04,880 --> 00:28:08,040 Speaker 1: in a moment here, there's going to be legislation hopefully 461 00:28:08,160 --> 00:28:11,000 Speaker 1: moving forward that in the United States at least is 462 00:28:11,000 --> 00:28:14,960 Speaker 1: going to ban these substances in these uh, these chemicals 463 00:28:14,960 --> 00:28:17,800 Speaker 1: in in these products. We'll see, right, let me just 464 00:28:17,840 --> 00:28:22,320 Speaker 1: finish this out really quickly. Of all liquid lipsticks that 465 00:28:22,400 --> 00:28:27,480 Speaker 1: were tested had these chemicals, and sixty three of all foundation. 466 00:28:28,080 --> 00:28:31,680 Speaker 1: Foundation is one of those things that many, many, many, 467 00:28:31,720 --> 00:28:34,919 Speaker 1: many many people use, even if you don't wear a 468 00:28:34,920 --> 00:28:39,880 Speaker 1: lot of makeup, and knowing that sixty of it had 469 00:28:40,000 --> 00:28:43,640 Speaker 1: these these PIFAs in it is just really troubling, really 470 00:28:43,680 --> 00:28:47,840 Speaker 1: really troubling. All Right, I'm I'm gonna move on here. Oh, 471 00:28:48,160 --> 00:28:52,440 Speaker 1: here's the last thing. Cent of the products they tested 472 00:28:52,880 --> 00:28:56,960 Speaker 1: did not disclose on their labels that the products contained 473 00:28:57,000 --> 00:29:00,400 Speaker 1: any type of these chemicals, so that you're talking about 474 00:29:00,400 --> 00:29:02,600 Speaker 1: of all the chemicals, of all the products that had 475 00:29:02,640 --> 00:29:05,719 Speaker 1: the chemicals of them. Didn't say a word about it, 476 00:29:05,920 --> 00:29:08,560 Speaker 1: and they're required to, by the way, regardless of the 477 00:29:08,920 --> 00:29:13,640 Speaker 1: new legislation that's under discussion, that they were already required 478 00:29:13,680 --> 00:29:19,560 Speaker 1: to disclose this and they just didn't. Yeah, um, yeah, 479 00:29:19,600 --> 00:29:22,800 Speaker 1: this is this is a this is a real problem. Thankfully, 480 00:29:22,840 --> 00:29:26,000 Speaker 1: there is legislation that has already been put forward. As 481 00:29:26,000 --> 00:29:29,080 Speaker 1: we said, you can look at the best place I 482 00:29:29,160 --> 00:29:33,360 Speaker 1: found this was in a freaking press release from Susan 483 00:29:33,440 --> 00:29:37,160 Speaker 1: collins website. She's a senator from Maine. But it has 484 00:29:37,320 --> 00:29:40,680 Speaker 1: it has a lot of information about the new bill 485 00:29:40,760 --> 00:29:45,080 Speaker 1: that was put forward. You can go to her website. 486 00:29:45,320 --> 00:29:49,600 Speaker 1: It is Collins dot Senate dot gov and you can 487 00:29:49,640 --> 00:29:51,720 Speaker 1: find the actual bill if you want to. There are 488 00:29:51,720 --> 00:29:54,120 Speaker 1: other places you can find it too. That's just an 489 00:29:54,120 --> 00:29:56,920 Speaker 1: easy freeway to find it. There's no paywalls or anything. 490 00:29:57,680 --> 00:30:01,640 Speaker 1: It's very very simple. I'm gonna read some of you ready, 491 00:30:02,040 --> 00:30:04,120 Speaker 1: or actually, do you guys have it up? Do somebody 492 00:30:04,160 --> 00:30:06,200 Speaker 1: who else want to read? I've been talking a lot, Yes, 493 00:30:06,360 --> 00:30:10,040 Speaker 1: let's do an official voice. A bill to ban the 494 00:30:10,160 --> 00:30:14,880 Speaker 1: use of intentionally added proof floral alkyl or polyfluoral alkyl 495 00:30:15,040 --> 00:30:19,440 Speaker 1: substances in cosmetics be it enacted by the Senate and 496 00:30:19,600 --> 00:30:23,200 Speaker 1: House of Representatives of the United States of America in 497 00:30:23,360 --> 00:30:29,440 Speaker 1: Congress Assembled, Section one short title. This act may be 498 00:30:29,600 --> 00:30:33,560 Speaker 1: cited as the No pf A S in Cosmetics Act, 499 00:30:34,160 --> 00:30:41,480 Speaker 1: Section two ban on per floor alkyl or polyfloor alkyl substances. 500 00:30:41,920 --> 00:30:48,800 Speaker 1: Take it home, match directed rulemaking it's all caps right 501 00:30:48,840 --> 00:30:53,680 Speaker 1: through this not later than two hundred and seventy days 502 00:30:53,760 --> 00:30:56,800 Speaker 1: after the date of enactment of this Act, the Secretary 503 00:30:56,840 --> 00:30:59,760 Speaker 1: of Health and Human Services, referred to in this section 504 00:30:59,800 --> 00:31:03,600 Speaker 1: as the Secretary, shall issue a proposed rule to ban 505 00:31:03,760 --> 00:31:07,600 Speaker 1: the use of intentionally added per floral alkal or polyfluoral 506 00:31:07,640 --> 00:31:13,360 Speaker 1: alcohol substances in cosmetics. Not later the ninety days after 507 00:31:13,440 --> 00:31:18,440 Speaker 1: issuing the proposed rule, the Secretary shall finalize such rule. Uh. 508 00:31:18,480 --> 00:31:22,600 Speaker 1: And then we've got some fine print. Here be definition. 509 00:31:23,120 --> 00:31:26,360 Speaker 1: In this section. The term perofluoralcal and polyfluoral alcal substance 510 00:31:26,400 --> 00:31:29,720 Speaker 1: means that perfluorcal or polyfluorolical substances man made and has 511 00:31:29,760 --> 00:31:33,600 Speaker 1: at least wonderfully fluorinated carbonettum. Got it. Wow, that's the 512 00:31:33,600 --> 00:31:37,200 Speaker 1: whole thing. That's the whole thing is tiny. It's just like, hey, uh, 513 00:31:37,240 --> 00:31:40,000 Speaker 1: they read this news, they saw the study, and they're like, 514 00:31:40,040 --> 00:31:42,040 Speaker 1: you know what, let's put this in here. It goes 515 00:31:42,560 --> 00:31:45,520 Speaker 1: none of these okay, and here's you get two hundred 516 00:31:45,560 --> 00:31:48,920 Speaker 1: seventy days and then uh, and then an extra ninety days. Cool. 517 00:31:48,960 --> 00:31:53,680 Speaker 1: So something will happen sometime if it gets past It 518 00:31:53,840 --> 00:31:58,920 Speaker 1: is so weird the way the way lawmaking like this functions, right. 519 00:31:58,960 --> 00:32:02,160 Speaker 1: I mean, it's good that there's a long time for 520 00:32:02,680 --> 00:32:05,880 Speaker 1: research to happen, for discussions to occur, but at the 521 00:32:05,920 --> 00:32:09,680 Speaker 1: same time, it feels like, if it's an imminent threat, 522 00:32:10,120 --> 00:32:13,840 Speaker 1: we're screwed. Yeah, well that's the that's did not think 523 00:32:13,880 --> 00:32:17,480 Speaker 1: I would find myself in this position today. But in defense, 524 00:32:19,480 --> 00:32:22,360 Speaker 1: I can't believe in saying this in defense of this 525 00:32:22,440 --> 00:32:26,160 Speaker 1: kind of legisay of government legislation. The way the system works, 526 00:32:26,760 --> 00:32:30,080 Speaker 1: they can't really just turn off the switch. And it 527 00:32:30,160 --> 00:32:34,160 Speaker 1: doesn't necessarily mean they're crooked. It just means that they're 528 00:32:34,280 --> 00:32:39,360 Speaker 1: dealing with these supply chains of a vast magnitude, and 529 00:32:39,440 --> 00:32:41,560 Speaker 1: actually there are a lot of people who would argue, 530 00:32:42,040 --> 00:32:45,040 Speaker 1: various stakeholders would say that's not enough time. As a 531 00:32:45,040 --> 00:32:47,440 Speaker 1: matter of fact, a certain lobbyists will say like, hey, 532 00:32:47,480 --> 00:32:51,280 Speaker 1: we need you know, ten fifteen years. I I completely agree, 533 00:32:51,400 --> 00:32:54,200 Speaker 1: and I totally see I totally see that stance, and 534 00:32:54,320 --> 00:32:57,440 Speaker 1: I agree with you. It's just unfortunate. I guess when 535 00:32:57,560 --> 00:33:01,760 Speaker 1: something really does pose a threat, you know, there's no 536 00:33:01,800 --> 00:33:04,040 Speaker 1: way to turn on a dime. My question, though, is 537 00:33:04,040 --> 00:33:08,240 Speaker 1: is the is the brevity of this bill proposal indicative 538 00:33:08,280 --> 00:33:12,000 Speaker 1: of like them not taking it that seriously? Oh no, 539 00:33:12,160 --> 00:33:15,640 Speaker 1: quite the opposite. Really, okay, because I'm just so I 540 00:33:15,640 --> 00:33:17,400 Speaker 1: guess that's okay. I see what you're saying that because 541 00:33:17,400 --> 00:33:21,560 Speaker 1: I'm so used to seeing so such convoluted you know, 542 00:33:22,400 --> 00:33:25,200 Speaker 1: writing and legal ease, and this just seems very straightforward 543 00:33:25,200 --> 00:33:27,760 Speaker 1: and to the point. But I guess that's maybe you 544 00:33:27,800 --> 00:33:30,240 Speaker 1: answer my question, and I totally see what you're saying 545 00:33:30,240 --> 00:33:32,400 Speaker 1: that it does make sense because it's very clear. It 546 00:33:32,520 --> 00:33:36,400 Speaker 1: spells out in very understandable terms what the thing is. 547 00:33:36,480 --> 00:33:39,080 Speaker 1: It defines it in pretty hard to you know, um 548 00:33:39,680 --> 00:33:42,480 Speaker 1: dance around kind of terms like it tells you exactly 549 00:33:42,520 --> 00:33:45,680 Speaker 1: what we're talking about. Uh, it means a plural floral 550 00:33:45,760 --> 00:33:49,520 Speaker 1: alkhal or polyfluoral alkhal substance that is man made and 551 00:33:49,560 --> 00:33:53,720 Speaker 1: has at least one fully fluorinated carbon atom and and matt. 552 00:33:53,760 --> 00:33:57,080 Speaker 1: Based on your research, that is that that's a good definition, right, Yeah, man, 553 00:33:57,120 --> 00:34:01,120 Speaker 1: if it's fully fluorinated, you're in trouble. But yes, it is, 554 00:34:01,240 --> 00:34:05,840 Speaker 1: it is. It checks out And I want to run 555 00:34:05,880 --> 00:34:11,520 Speaker 1: really quickly through just reiterating the threat that these things 556 00:34:11,560 --> 00:34:16,600 Speaker 1: posed to us as humans as carbon based organic material 557 00:34:17,320 --> 00:34:20,799 Speaker 1: that are organized in a really cool way, but these 558 00:34:20,800 --> 00:34:23,600 Speaker 1: things are dangerous to us. So we talked about it before. 559 00:34:23,960 --> 00:34:26,640 Speaker 1: These things are not naturally occurring. These chemicals, they take 560 00:34:26,640 --> 00:34:28,480 Speaker 1: a long time to break down. They've been shown to 561 00:34:28,520 --> 00:34:31,240 Speaker 1: cause a bunch of terrible stuff to occur in any 562 00:34:31,320 --> 00:34:34,440 Speaker 1: human and animal that they get into, especially when you 563 00:34:34,960 --> 00:34:41,280 Speaker 1: ingest them. Things like infertility can be caused, UM learning issues, 564 00:34:41,719 --> 00:34:47,839 Speaker 1: UM cancers mainly, but infertility and cancer two major things here, right, 565 00:34:48,360 --> 00:34:51,680 Speaker 1: especially for the human race. Uh. They have a tendency 566 00:34:51,719 --> 00:34:54,120 Speaker 1: to remain in humans and animals while they wreak havoc 567 00:34:54,160 --> 00:34:56,960 Speaker 1: on the systems. And we've been putting them in all 568 00:34:57,000 --> 00:35:00,560 Speaker 1: this stuff for a long time. According to the Centers 569 00:35:00,680 --> 00:35:05,560 Speaker 1: for Disease Controls, Agency for Toxic Substances, and disease registry. 570 00:35:05,680 --> 00:35:08,440 Speaker 1: These things have the potential to affect your growth, learning 571 00:35:08,719 --> 00:35:11,560 Speaker 1: and behavior in infants and older children. They can lower 572 00:35:11,600 --> 00:35:15,000 Speaker 1: a woman's chance of ever getting pregnant and again increase 573 00:35:15,239 --> 00:35:18,600 Speaker 1: cancer rates. So these chemicals are really bad. We don't 574 00:35:18,640 --> 00:35:22,880 Speaker 1: want more of them in us or applied to our faces. 575 00:35:22,920 --> 00:35:25,520 Speaker 1: So what can you do knowing that a lot of 576 00:35:25,560 --> 00:35:28,359 Speaker 1: makeups have these things in them? Are you gonna wait 577 00:35:28,440 --> 00:35:32,040 Speaker 1: that three in something days to have any kind of 578 00:35:32,080 --> 00:35:35,440 Speaker 1: action via law? Or maybe you can take some action 579 00:35:35,480 --> 00:35:39,239 Speaker 1: on your own. Um you can go to the Environmental 580 00:35:39,280 --> 00:35:43,080 Speaker 1: Working Group or e w G. There are consumer organization 581 00:35:43,120 --> 00:35:46,600 Speaker 1: that maintains this database on all kinds of different personal 582 00:35:46,600 --> 00:35:49,719 Speaker 1: care products. We don't know. I don't know much about 583 00:35:49,719 --> 00:35:52,440 Speaker 1: the organization beyond what it states on their website, but 584 00:35:52,480 --> 00:35:54,440 Speaker 1: it's at least a good place to start to inform 585 00:35:54,520 --> 00:35:57,920 Speaker 1: yourself about any given product because it's probably not going 586 00:35:58,000 --> 00:36:00,520 Speaker 1: to be on the label right. Do check out the 587 00:36:00,560 --> 00:36:03,759 Speaker 1: labels though, on any makeup products you use, just to 588 00:36:03,800 --> 00:36:07,000 Speaker 1: see if there's anything there. Maybe the company does list it, 589 00:36:07,040 --> 00:36:09,120 Speaker 1: but if they don't list it, look for things like 590 00:36:09,320 --> 00:36:12,839 Speaker 1: water resistant that's a good keyword. You want to stay 591 00:36:12,880 --> 00:36:16,600 Speaker 1: away from those or long lasting pretty much consider those 592 00:36:16,640 --> 00:36:19,879 Speaker 1: suspects and don't use them until you know that they 593 00:36:19,880 --> 00:36:23,200 Speaker 1: don't have them in there. But the one huge takeaway 594 00:36:23,239 --> 00:36:25,960 Speaker 1: for today is you can rest easy about your makeup 595 00:36:26,800 --> 00:36:30,680 Speaker 1: because no matter what's in it and how much of 596 00:36:30,680 --> 00:36:34,200 Speaker 1: it you're putting onto your face, you're already getting a 597 00:36:34,239 --> 00:36:36,759 Speaker 1: pretty much lethal dose of these things at least and 598 00:36:36,840 --> 00:36:40,879 Speaker 1: eventually lethal dose of these things through all the other 599 00:36:41,040 --> 00:36:45,760 Speaker 1: uses that they've had historically, through pesticides and the teflon 600 00:36:45,880 --> 00:36:47,920 Speaker 1: that was you know, on the pans that you ate 601 00:36:47,960 --> 00:36:50,680 Speaker 1: eggs off of when you were a kid. So you'll 602 00:36:50,680 --> 00:36:54,240 Speaker 1: be all right with the makeup. We've all got cancer anyway. Wow, 603 00:36:55,080 --> 00:37:00,239 Speaker 1: there it is there. It is sunshine. Sunshine them to 604 00:37:00,320 --> 00:37:04,240 Speaker 1: expect from us, fellow conspiracy realists, Well, it's an ugly truth, 605 00:37:04,360 --> 00:37:06,920 Speaker 1: but I think most most folks, most of our fellow 606 00:37:06,960 --> 00:37:10,680 Speaker 1: listeners are tuning in because we, uh, we believe that 607 00:37:10,719 --> 00:37:15,080 Speaker 1: an ugly truth is more important than a pretty lie. 608 00:37:15,000 --> 00:37:17,480 Speaker 1: I feel like there's a good makeup joke here, we'll 609 00:37:17,520 --> 00:37:20,799 Speaker 1: fix it in post. It makes every moment that much 610 00:37:20,840 --> 00:37:24,160 Speaker 1: more important and special, right knowing knowing that there are 611 00:37:24,239 --> 00:37:27,000 Speaker 1: terrible things going on and there's not much we can 612 00:37:27,040 --> 00:37:30,640 Speaker 1: do to stop it and even protect ourselves. Yikes, Okay, 613 00:37:30,680 --> 00:37:33,120 Speaker 1: I don't want to get even scarier here. I don't 614 00:37:33,120 --> 00:37:35,080 Speaker 1: mean to do that. I don't mean to be such 615 00:37:35,080 --> 00:37:39,080 Speaker 1: a downer. It's just these p fas are a thing 616 00:37:39,400 --> 00:37:42,239 Speaker 1: that very well, and I'm gonna just say it here, 617 00:37:42,360 --> 00:37:47,000 Speaker 1: very well may lead to a sharp decline in humanity's 618 00:37:47,200 --> 00:37:53,279 Speaker 1: numbers and ability to continue as the the force that 619 00:37:53,360 --> 00:37:56,279 Speaker 1: we are. I really think so. I think there's the 620 00:37:56,400 --> 00:37:59,200 Speaker 1: environmental issues, like more and more we're finding these things 621 00:37:59,200 --> 00:38:03,239 Speaker 1: in the environment, right, and and it may not just 622 00:38:03,280 --> 00:38:06,239 Speaker 1: be humanity that gets taken out through these things, and 623 00:38:06,239 --> 00:38:10,600 Speaker 1: maybe a lot of ecosystems and biospheres. Sure, yeah, Amphibians 624 00:38:10,600 --> 00:38:12,759 Speaker 1: are on the front line, absolutely, And and it's the 625 00:38:12,840 --> 00:38:15,640 Speaker 1: kind of thing that we learned from the way things 626 00:38:15,640 --> 00:38:18,759 Speaker 1: like microplastics perliferate, and you know, it's like they have 627 00:38:18,840 --> 00:38:21,040 Speaker 1: a base level of research that goes into it to 628 00:38:21,080 --> 00:38:23,240 Speaker 1: make it acceptable to put it out as a product, 629 00:38:23,560 --> 00:38:27,239 Speaker 1: But we don't have the ability to test the long 630 00:38:27,360 --> 00:38:29,720 Speaker 1: term effects on the environment, of the long term effects 631 00:38:29,719 --> 00:38:32,120 Speaker 1: on human health. They can maybe model it. I guess. 632 00:38:32,120 --> 00:38:34,680 Speaker 1: But you know we we for a good reason don't 633 00:38:34,719 --> 00:38:39,080 Speaker 1: do human experimentation. Um, but it is kind of a 634 00:38:39,160 --> 00:38:40,360 Speaker 1: roll of the dice a lot of the times with 635 00:38:40,400 --> 00:38:44,080 Speaker 1: these technologies and these things that we don't even have 636 00:38:44,360 --> 00:38:49,000 Speaker 1: the context to fully test properly right long term. Yeah, 637 00:38:49,080 --> 00:38:51,400 Speaker 1: that's I would I would agree with that. There's not 638 00:38:51,560 --> 00:38:56,400 Speaker 1: a long term test that's been conducted with these specific 639 00:38:56,680 --> 00:39:00,160 Speaker 1: constraints that we would need. I would also say, more importantly, 640 00:39:00,360 --> 00:39:05,239 Speaker 1: to build on your point, Matt, there is an aggregate effect. 641 00:39:05,719 --> 00:39:10,480 Speaker 1: The real danger to humanity is not The danger to 642 00:39:10,560 --> 00:39:15,279 Speaker 1: humanity and organisms in general is not the existence of 643 00:39:15,680 --> 00:39:18,400 Speaker 1: p F A S or the existence of you know, 644 00:39:18,760 --> 00:39:22,040 Speaker 1: some sketchy stuff in your sunscreen, or even just the 645 00:39:22,080 --> 00:39:27,600 Speaker 1: existence microplastics. These team up. They're a like like for 646 00:39:27,640 --> 00:39:30,600 Speaker 1: any Marvel comics folks, there a league of evil mutants, 647 00:39:30,600 --> 00:39:34,120 Speaker 1: but they're a league of their league of evil chemicals. 648 00:39:34,160 --> 00:39:39,520 Speaker 1: And when they snowball together, when they have this cumulative effect. Uh, 649 00:39:39,680 --> 00:39:42,040 Speaker 1: you know, Yes, we don't have the long term studies 650 00:39:42,080 --> 00:39:44,800 Speaker 1: we need for a lot of these things as individual cases, 651 00:39:45,520 --> 00:39:48,719 Speaker 1: and we have nothing like a long term study of 652 00:39:48,760 --> 00:39:53,080 Speaker 1: what happens when all of this stuff converges, and that 653 00:39:53,239 --> 00:39:58,040 Speaker 1: I imagine is a danger that future historians are going 654 00:39:58,160 --> 00:40:02,840 Speaker 1: to think about pretty all. Yep, So uh, enjoy this 655 00:40:02,960 --> 00:40:08,040 Speaker 1: commercial for a product that does not contain pas. It 656 00:40:08,200 --> 00:40:17,880 Speaker 1: is just as commercial for p f A s. Okay, 657 00:40:17,880 --> 00:40:21,120 Speaker 1: and we're back with one more uh strange news piece 658 00:40:21,160 --> 00:40:25,040 Speaker 1: of strange news um article episode. I don't know what 659 00:40:25,080 --> 00:40:26,879 Speaker 1: I'm doing today, guys. I had a red eye flight 660 00:40:26,960 --> 00:40:29,640 Speaker 1: in this morning. I haven't done that ever in my life. 661 00:40:30,000 --> 00:40:34,080 Speaker 1: And the plane landed at five thirty am, um, Atlanta time, 662 00:40:34,400 --> 00:40:37,000 Speaker 1: and then I came straight home and slept till about noon. 663 00:40:37,560 --> 00:40:40,040 Speaker 1: I think I'm sort of normalized, like I'm on East 664 00:40:40,040 --> 00:40:42,560 Speaker 1: Coast brain now. But I'm sorry if i'm a little 665 00:40:42,760 --> 00:40:44,880 Speaker 1: I seemed like I'm in a fugue state or something, 666 00:40:44,920 --> 00:40:48,920 Speaker 1: but I wasn't so foggy that I wasn't able to 667 00:40:48,960 --> 00:40:52,279 Speaker 1: come up with a fun strange news story. Uh. And 668 00:40:52,360 --> 00:40:56,440 Speaker 1: this is one that I heard about on YouTube channel 669 00:40:56,440 --> 00:40:59,600 Speaker 1: that I that I love called Internet Today, um, and 670 00:41:00,080 --> 00:41:02,719 Speaker 1: they found they dug out this story and it's that 671 00:41:02,800 --> 00:41:05,799 Speaker 1: didn't seem like it made a whole lot of headlines. 672 00:41:06,000 --> 00:41:08,799 Speaker 1: It's a little bit niche. Um. It's sort of uh 673 00:41:08,880 --> 00:41:14,520 Speaker 1: it's it's basically a story involving the most extreme possible 674 00:41:14,960 --> 00:41:18,680 Speaker 1: version of lying on your resume. Um. By the way, 675 00:41:18,800 --> 00:41:21,560 Speaker 1: by the way, we're just glad you're here, but continue, 676 00:41:21,680 --> 00:41:23,960 Speaker 1: thank you, thank you. I mean that's not enough for 677 00:41:24,000 --> 00:41:26,640 Speaker 1: me just to be here, Guys, I have to I 678 00:41:26,680 --> 00:41:28,640 Speaker 1: have to bring my a game and I think today 679 00:41:28,719 --> 00:41:31,200 Speaker 1: maybe on my B plus game. But if you, either 680 00:41:31,239 --> 00:41:34,000 Speaker 1: of you ever embellished on a resume, you don't have to. 681 00:41:34,080 --> 00:41:35,560 Speaker 1: You don't have to say. I think we all have 682 00:41:35,760 --> 00:41:38,560 Speaker 1: to some degree or another, whether it's just emphasizing a 683 00:41:38,719 --> 00:41:44,200 Speaker 1: skill or perhaps uh, you know, shortening a gap and unemployment. 684 00:41:44,320 --> 00:41:47,560 Speaker 1: But I'm wondering what you Gall's experience has been in that. 685 00:41:47,960 --> 00:41:50,719 Speaker 1: I always love the retail thing. I used to do 686 00:41:50,760 --> 00:41:54,040 Speaker 1: this as a as a social hack for amusement. I 687 00:41:54,080 --> 00:41:58,680 Speaker 1: think you may remember the conspiracy realists if you've ever 688 00:41:58,719 --> 00:42:02,880 Speaker 1: have filled out as me for retail position. Uh. Sometimes 689 00:42:02,920 --> 00:42:06,560 Speaker 1: there will be these ridiculous questions on there like if 690 00:42:06,640 --> 00:42:10,200 Speaker 1: hired for this job, would you steal? Or if you 691 00:42:10,239 --> 00:42:13,160 Speaker 1: saw someone stealing, would you report them to a manager? 692 00:42:13,719 --> 00:42:16,840 Speaker 1: And there were days where I would just go to 693 00:42:17,040 --> 00:42:20,520 Speaker 1: places like that and just check yes on questions like 694 00:42:20,600 --> 00:42:22,359 Speaker 1: I just wanted to see what they would do. I'm 695 00:42:22,360 --> 00:42:25,120 Speaker 1: gonna tell you what. Three places did come back and 696 00:42:25,160 --> 00:42:28,840 Speaker 1: wanted to hire me. Really, yeah, that's the closest I 697 00:42:28,840 --> 00:42:31,040 Speaker 1: ever got to lie in on a resume. That's I 698 00:42:31,120 --> 00:42:34,120 Speaker 1: think that's a what would be considered a socially acceptable 699 00:42:34,400 --> 00:42:37,040 Speaker 1: resume fib perhaps not even I mean, it's really just 700 00:42:37,560 --> 00:42:39,479 Speaker 1: you know, it's checking a box and it's a little 701 00:42:39,520 --> 00:42:42,680 Speaker 1: bit um vague in the first place. Right. Um. Now, 702 00:42:42,800 --> 00:42:44,600 Speaker 1: I told him I would straight up steel if they 703 00:42:44,680 --> 00:42:47,120 Speaker 1: hired me, and three of them were like, I like 704 00:42:47,239 --> 00:42:51,439 Speaker 1: to cut your jib sod your candor. But I guess so. 705 00:42:51,680 --> 00:42:55,360 Speaker 1: I think they just needed warm bodies. But but resume 706 00:42:55,520 --> 00:42:59,279 Speaker 1: line on resume is way more common than people think. Right, 707 00:42:59,560 --> 00:43:02,720 Speaker 1: It's not only comment, it's there's like there are shades 708 00:43:02,800 --> 00:43:05,080 Speaker 1: of it. Right, There's there's like what you did, which 709 00:43:05,120 --> 00:43:08,080 Speaker 1: is kind of just like a ballsy move that maybe 710 00:43:08,120 --> 00:43:11,200 Speaker 1: you wouldn't have done if you wore were taking It 711 00:43:11,200 --> 00:43:13,560 Speaker 1: seems to me like maybe you weren't really taking that 712 00:43:13,880 --> 00:43:18,160 Speaker 1: application particularly seriously. I don't know, maybe okay, fair enough 713 00:43:18,320 --> 00:43:21,760 Speaker 1: boom um. Then you've got folks that you know, maybe 714 00:43:22,000 --> 00:43:25,160 Speaker 1: you've only ever looked at Excel a couple of times, 715 00:43:25,200 --> 00:43:27,280 Speaker 1: or maybe you know how to read an Excel document, 716 00:43:27,400 --> 00:43:29,560 Speaker 1: but you don't really know all the bells and whistles 717 00:43:29,600 --> 00:43:31,440 Speaker 1: of like formulas and all the things that you say 718 00:43:31,440 --> 00:43:34,720 Speaker 1: you're proficient and excel because you assume, like most often 719 00:43:34,800 --> 00:43:36,360 Speaker 1: is the case that you can kind of figure that 720 00:43:36,360 --> 00:43:38,120 Speaker 1: stuff out on the job, which is always how it's 721 00:43:38,160 --> 00:43:40,200 Speaker 1: kind of been for me. Um. I think the most 722 00:43:40,200 --> 00:43:42,760 Speaker 1: I've ever done is maybe they ask you for specific 723 00:43:42,800 --> 00:43:45,280 Speaker 1: dates on job applications a lot of times, and sometimes 724 00:43:45,320 --> 00:43:47,000 Speaker 1: who knows those exact dates, so you kind of just 725 00:43:47,040 --> 00:43:49,640 Speaker 1: flubbed them as best you can. Uh. You could consider 726 00:43:49,719 --> 00:43:52,719 Speaker 1: that lying um if you're not being exactly accurate, but 727 00:43:53,040 --> 00:43:56,560 Speaker 1: you know you're doing the best you can. My story today, uh, 728 00:43:56,640 --> 00:43:59,480 Speaker 1: is about a dude who takes lying on your resume 729 00:43:59,840 --> 00:44:04,239 Speaker 1: um to the extreme, almost like elevates it to an 730 00:44:04,320 --> 00:44:08,919 Speaker 1: art form. It's this guy named Christopher Muss. Muss Massamini says, 731 00:44:08,920 --> 00:44:10,799 Speaker 1: how I'm gonna pronounce it, it's m A S s 732 00:44:10,840 --> 00:44:13,560 Speaker 1: I M I N E. I think I think it 733 00:44:13,640 --> 00:44:16,440 Speaker 1: says sounds like maybe the Italian last name massamans, but 734 00:44:16,480 --> 00:44:19,279 Speaker 1: maybe it's Massa means but like massa Meini is better. 735 00:44:19,320 --> 00:44:20,800 Speaker 1: So that's what I'm gonna say. I haven't heard it 736 00:44:20,920 --> 00:44:23,400 Speaker 1: said in a news report. I've just seen some some 737 00:44:24,200 --> 00:44:27,000 Speaker 1: reports about it in in the Salt Lake City Tribune, 738 00:44:27,560 --> 00:44:30,719 Speaker 1: UM Fox their team of Salt Lake City, and a 739 00:44:30,719 --> 00:44:33,399 Speaker 1: few other outlets that have reported on the sky from 740 00:44:33,400 --> 00:44:36,000 Speaker 1: a little less than a week ago. Uh he is 741 00:44:36,560 --> 00:44:39,719 Speaker 1: Uh there is currently One would assume there hasn't been 742 00:44:39,760 --> 00:44:43,799 Speaker 1: any news otherwise. The head of a theater company that 743 00:44:44,000 --> 00:44:47,919 Speaker 1: is part of the University of Utah College of Fine Arts. 744 00:44:48,040 --> 00:44:51,520 Speaker 1: It's a theater company called the Pioneer Theater UM and 745 00:44:51,640 --> 00:44:54,400 Speaker 1: they stage plays your students to go to the drama 746 00:44:54,440 --> 00:44:59,319 Speaker 1: program at the University of Utah and UM. Last year 747 00:44:59,560 --> 00:45:03,399 Speaker 1: they issued a press release or actually rather in late 748 00:45:03,400 --> 00:45:09,480 Speaker 1: twenty nineteen UM, congratulating this guy Massamini UM for achieving 749 00:45:09,760 --> 00:45:13,680 Speaker 1: the Humanitarian of the Year award from a group called 750 00:45:13,719 --> 00:45:17,759 Speaker 1: the National Performing Arts Association or, depending on which outlet 751 00:45:17,840 --> 00:45:22,120 Speaker 1: you read, the National Performing Arts Action Association. UM. There 752 00:45:22,120 --> 00:45:24,279 Speaker 1: were different versions of the release that left out the 753 00:45:24,320 --> 00:45:29,000 Speaker 1: word action. UM. But it turns out that that organization 754 00:45:29,239 --> 00:45:34,920 Speaker 1: doesn't actually exist. UH. And this kind of triggered a 755 00:45:34,960 --> 00:45:39,200 Speaker 1: little bit of investigation later into this guy's you know, 756 00:45:39,280 --> 00:45:42,839 Speaker 1: kind of bona fides, and it came up with some 757 00:45:42,880 --> 00:45:49,480 Speaker 1: pretty fantastic stuff in his resume. UM. He apparently either 758 00:45:49,680 --> 00:45:54,680 Speaker 1: fully fabricated or just like fudged to the nth degree 759 00:45:55,160 --> 00:46:00,080 Speaker 1: almost everything in his resume UM, including like when It 760 00:46:00,239 --> 00:46:02,640 Speaker 1: so Far Again, the jury is still out. He hasn't 761 00:46:02,840 --> 00:46:05,479 Speaker 1: had responded to this, but there are like Internet movie 762 00:46:05,560 --> 00:46:08,920 Speaker 1: database UM increased for him saying that he was a 763 00:46:08,920 --> 00:46:13,040 Speaker 1: producer on video games like UM. I think one of 764 00:46:13,080 --> 00:46:17,680 Speaker 1: them was Resident Evil Village, and there were several others 765 00:46:17,719 --> 00:46:21,160 Speaker 1: that he had a credit on. UM. A documentary called 766 00:46:21,200 --> 00:46:23,880 Speaker 1: Free Solo he was credited on that was like about 767 00:46:24,040 --> 00:46:26,719 Speaker 1: about free climbing, I believe UM. Spider Man into the 768 00:46:26,760 --> 00:46:29,759 Speaker 1: Spider Verse listed him as a script consultant, and then 769 00:46:29,800 --> 00:46:33,919 Speaker 1: also Suicide Squad had him listed as special thanks UM. 770 00:46:34,040 --> 00:46:37,239 Speaker 1: Fox thirteen of Salt Lake City looked into all this 771 00:46:37,280 --> 00:46:42,120 Speaker 1: stuff UM and followed up and none of those films 772 00:46:42,440 --> 00:46:44,560 Speaker 1: knew anything about him. None of the production companies behind 773 00:46:44,600 --> 00:46:48,240 Speaker 1: them knew anything about him. UM, nor did the creator's 774 00:46:48,520 --> 00:46:52,000 Speaker 1: capcom of Resident Evil Village or Square Enix's Final Fantasy 775 00:46:52,400 --> 00:46:56,239 Speaker 1: seven remake. UM. They told Fox their teen that they 776 00:46:56,320 --> 00:46:58,000 Speaker 1: had never heard of him, that he had not been 777 00:46:58,040 --> 00:47:00,160 Speaker 1: the producer in any of those games. So that part 778 00:47:00,239 --> 00:47:03,320 Speaker 1: is interesting, hey, because it goes to show how easily 779 00:47:03,520 --> 00:47:06,680 Speaker 1: fabricated Internet movie database can be and how it probably 780 00:47:06,719 --> 00:47:09,719 Speaker 1: shouldn't be a primary source for folks that are cross 781 00:47:09,760 --> 00:47:13,200 Speaker 1: referencing credits and things like that. Alex Williams, a buddy 782 00:47:13,200 --> 00:47:17,160 Speaker 1: of ours who does the amazing podcast Ephemeral, said that 783 00:47:17,320 --> 00:47:20,000 Speaker 1: very thing to me recently, that it's not the best 784 00:47:20,040 --> 00:47:23,239 Speaker 1: source of research, and this kind of proves it to me. Um. 785 00:47:23,320 --> 00:47:29,080 Speaker 1: He also was listed as being the like executive producer 786 00:47:29,280 --> 00:47:33,200 Speaker 1: some high level producer for two Tony Award winning musicals, 787 00:47:33,200 --> 00:47:38,120 Speaker 1: including the Green Day musical adaptation of American Idiot. Um, 788 00:47:38,200 --> 00:47:40,719 Speaker 1: and it turns out that at the very most he 789 00:47:40,760 --> 00:47:44,320 Speaker 1: was like a junior producer on those Um. He even 790 00:47:44,400 --> 00:47:48,680 Speaker 1: has credits listed in his resume like like like total 791 00:47:48,840 --> 00:47:51,640 Speaker 1: genre hoppic, Like it's like, okay, I'm also like the 792 00:47:51,680 --> 00:47:54,880 Speaker 1: master of theater. I'm also a like a Don Draper 793 00:47:55,000 --> 00:47:58,480 Speaker 1: level ad executive and supposedly was involved in like old 794 00:47:58,520 --> 00:48:01,319 Speaker 1: spice campaigns and like all of these different you know, 795 00:48:01,400 --> 00:48:05,080 Speaker 1: television ad campaigns, and uh, it just kind of is 796 00:48:05,120 --> 00:48:09,120 Speaker 1: this never ending rabbit hole of fabrication. And the thing 797 00:48:09,239 --> 00:48:11,680 Speaker 1: is the position that he has with the University of 798 00:48:11,680 --> 00:48:14,239 Speaker 1: Stalt Lake City UM or the University of Utah rather 799 00:48:14,280 --> 00:48:17,399 Speaker 1: than Salt Lake City is a government paid position and 800 00:48:17,520 --> 00:48:21,160 Speaker 1: it's publicly posted how much money makes, and it's in 801 00:48:21,160 --> 00:48:24,040 Speaker 1: the neighborhood of a hundred thirty seven thousand dollars a 802 00:48:24,160 --> 00:48:28,560 Speaker 1: year with an additional like fifty thousand worth of benefits 803 00:48:28,560 --> 00:48:31,600 Speaker 1: and bonuses and things like that. So he is definitely 804 00:48:31,640 --> 00:48:35,279 Speaker 1: considered an executive. He's only thirty five years old as well, 805 00:48:35,400 --> 00:48:37,799 Speaker 1: so that's I mean, that's pretty serious salary to k 806 00:48:38,080 --> 00:48:43,239 Speaker 1: living in Utah. Um, you know, buil footed by taxpayers. 807 00:48:44,560 --> 00:48:46,200 Speaker 1: So I don't know. I just I thought that this 808 00:48:46,239 --> 00:48:50,440 Speaker 1: was an interesting story because so many people lie on 809 00:48:50,480 --> 00:48:56,319 Speaker 1: their resume and so many employers don't really vet any 810 00:48:56,400 --> 00:48:58,560 Speaker 1: of these bona fides, and if you see all of 811 00:48:58,600 --> 00:49:01,560 Speaker 1: this stuff and kind of just like are blown away 812 00:49:01,600 --> 00:49:03,239 Speaker 1: by like, oh my god, this guy is like too 813 00:49:03,239 --> 00:49:07,760 Speaker 1: good to be true. Probably is too good to be true. UM. 814 00:49:07,880 --> 00:49:09,279 Speaker 1: But I don't know if you guys, if you guys 815 00:49:09,400 --> 00:49:13,480 Speaker 1: ever heard of any resume fudging to this degree. That's 816 00:49:13,480 --> 00:49:14,719 Speaker 1: the only reason I brought it up with the fund. 817 00:49:14,719 --> 00:49:17,360 Speaker 1: I was just kind of like the most egregious version 818 00:49:17,360 --> 00:49:21,760 Speaker 1: of this that I could possibly imagine. Oh, sure, Rachel 819 00:49:21,800 --> 00:49:24,560 Speaker 1: dola is all is a great example of being a 820 00:49:24,600 --> 00:49:28,719 Speaker 1: fraud in the academic uh, in the academic world, right, 821 00:49:28,800 --> 00:49:33,000 Speaker 1: And I think that's incredibly engregious because she literally lied 822 00:49:33,040 --> 00:49:37,480 Speaker 1: about her identity and who she was. You know, that's 823 00:49:37,680 --> 00:49:39,880 Speaker 1: I think that's like, maybe that's a little heavier than 824 00:49:39,920 --> 00:49:44,480 Speaker 1: what we're looking for, but there is. Yeah, it's astonishing 825 00:49:44,920 --> 00:49:50,240 Speaker 1: the kind of resume faking that can happen. Uh. There's 826 00:49:50,400 --> 00:49:53,040 Speaker 1: one guy I read about, a guy named Michael Matthews 827 00:49:53,080 --> 00:49:56,920 Speaker 1: who's a founder of a firm called Moxie, and he 828 00:49:57,040 --> 00:50:03,640 Speaker 1: thinks that at least twenty of professional like recruiters are 829 00:50:04,239 --> 00:50:08,439 Speaker 1: faking clients resumes to make their own businesses look good. 830 00:50:08,480 --> 00:50:13,480 Speaker 1: So I I believe this happens in a lot of 831 00:50:13,600 --> 00:50:16,279 Speaker 1: different places, in a lot of different ways, in the 832 00:50:16,320 --> 00:50:20,839 Speaker 1: world of academia. I wouldn't be surprised. We know that, 833 00:50:21,120 --> 00:50:24,440 Speaker 1: we know that people have even published fraudulent papers in 834 00:50:25,080 --> 00:50:29,080 Speaker 1: so called peer review journals just this like make something up, 835 00:50:29,200 --> 00:50:32,920 Speaker 1: see if they can get it through the pipeline. Um. 836 00:50:32,960 --> 00:50:35,440 Speaker 1: And then maybe there's something aspirational about it, you know 837 00:50:35,480 --> 00:50:38,239 Speaker 1: what I mean. Maybe when people are saying, like I 838 00:50:38,360 --> 00:50:43,440 Speaker 1: am fluent in uh in certain language here, they're thinking 839 00:50:43,480 --> 00:50:46,160 Speaker 1: to themselves, I will learn this language by the time 840 00:50:46,200 --> 00:50:48,200 Speaker 1: it comes up at my job, you know what I mean. 841 00:50:48,560 --> 00:50:52,160 Speaker 1: So I think there are levels to it. But I'm 842 00:50:52,160 --> 00:50:55,239 Speaker 1: glad to say I don't think any of us have 843 00:50:55,400 --> 00:50:59,440 Speaker 1: really fudged resumes. Well, I don't know ever got a 844 00:50:59,560 --> 00:51:04,000 Speaker 1: job like specifically, you know, with a cold submission of 845 00:51:04,000 --> 00:51:07,680 Speaker 1: a resume. It's always kind of been someone that I 846 00:51:07,760 --> 00:51:10,840 Speaker 1: either had worked with in the past or you know, 847 00:51:10,960 --> 00:51:13,960 Speaker 1: been friends with, a cross paths with in some uh 848 00:51:14,080 --> 00:51:16,640 Speaker 1: you know, other ways socially perhaps, And I think that's 849 00:51:16,760 --> 00:51:19,160 Speaker 1: that kind of networking is really important. But I think 850 00:51:19,160 --> 00:51:21,239 Speaker 1: that's so there's there's another detail about this uh this 851 00:51:21,280 --> 00:51:23,920 Speaker 1: guy that I thought was interesting. He claims to have 852 00:51:24,080 --> 00:51:28,880 Speaker 1: gotten both a bachelor's and a master's degree from n 853 00:51:29,040 --> 00:51:32,719 Speaker 1: YU in only three years, and Fox thirteen was able 854 00:51:32,719 --> 00:51:35,799 Speaker 1: to debunk this in about five minutes, um that he 855 00:51:36,640 --> 00:51:39,719 Speaker 1: only has the bachelor's degree and did not in fact 856 00:51:39,719 --> 00:51:44,240 Speaker 1: receive a master's degree at all, which is probably prerequisite 857 00:51:44,239 --> 00:51:46,600 Speaker 1: for the kind of position that we're talking here, Um, 858 00:51:46,680 --> 00:51:49,080 Speaker 1: you know, being an executive and the head of like 859 00:51:49,120 --> 00:51:53,000 Speaker 1: an educational institution. So look, you guys, you know the 860 00:51:53,040 --> 00:51:58,200 Speaker 1: great Bard indeed, the entire world, you guys, that's the stage. 861 00:51:58,719 --> 00:52:01,320 Speaker 1: This person is going to be a director of theater. 862 00:52:02,480 --> 00:52:06,759 Speaker 1: You don't think that becoming a character before you go 863 00:52:06,920 --> 00:52:13,239 Speaker 1: on stage is going to be a part of him 864 00:52:13,280 --> 00:52:15,560 Speaker 1: as a guy who pretends to be different people in 865 00:52:15,640 --> 00:52:18,160 Speaker 1: different cities and at different airput hang on, let me 866 00:52:18,239 --> 00:52:24,400 Speaker 1: get my playing with my eyepatch this whole time. So like, yeah, 867 00:52:24,520 --> 00:52:26,880 Speaker 1: why not. Maybe he's just trying to spice things up. 868 00:52:27,360 --> 00:52:30,640 Speaker 1: Maybe his method. Yeah, here we go. I mean, if 869 00:52:30,719 --> 00:52:33,799 Speaker 1: you could, if you could perform a character that makes 870 00:52:33,840 --> 00:52:37,400 Speaker 1: two hundred and fifteen thousand dollars a year, wouldn't you 871 00:52:37,520 --> 00:52:41,640 Speaker 1: do it? No? This is this is egregious and terrible. 872 00:52:42,680 --> 00:52:46,120 Speaker 1: There are qualified people that could be in that position, 873 00:52:46,280 --> 00:52:50,120 Speaker 1: you know, and uh, it stinks that this person got 874 00:52:50,160 --> 00:52:54,520 Speaker 1: it just by being creatively deceptive. It's astonishing that they 875 00:52:54,520 --> 00:52:57,719 Speaker 1: haven't been fired. I mean, that's another problem with nepotism 876 00:52:57,760 --> 00:53:00,880 Speaker 1: over meritocracy, you know what I mean. I'm sorry, who 877 00:53:00,960 --> 00:53:10,160 Speaker 1: am I speaking to? Who is this? No? Matt it's me. 878 00:53:09,880 --> 00:53:13,040 Speaker 1: It's me the whole time, once an old John Lovetts 879 00:53:13,080 --> 00:53:17,920 Speaker 1: joke acting. But but you're right, it's a It is strange. Know. 880 00:53:18,200 --> 00:53:20,080 Speaker 1: The thing that stands out the most to me about 881 00:53:20,120 --> 00:53:23,520 Speaker 1: this is that the guy appears to still have his job, Like, 882 00:53:23,600 --> 00:53:26,640 Speaker 1: how how bizarre is that Maybe there's like a firing 883 00:53:26,719 --> 00:53:31,320 Speaker 1: process they have to go through that happens in some organizations. Yeah, 884 00:53:31,400 --> 00:53:33,799 Speaker 1: I think, um, it sounds like this is a real 885 00:53:33,800 --> 00:53:38,480 Speaker 1: embarrassment um for the organization, especially since so much of 886 00:53:38,520 --> 00:53:41,560 Speaker 1: this stuff is like within their community and within their field, 887 00:53:41,880 --> 00:53:45,200 Speaker 1: like the idea that he was nominated for like Tony 888 00:53:45,239 --> 00:53:48,320 Speaker 1: Awards for example. Um, that's very much something that folks 889 00:53:48,320 --> 00:53:50,000 Speaker 1: in the theater community would be able to kind of 890 00:53:50,080 --> 00:53:52,759 Speaker 1: vet and check out that he was associated in some 891 00:53:52,800 --> 00:53:55,919 Speaker 1: way with those productions that I mentioned, but wasn't like 892 00:53:56,239 --> 00:53:59,120 Speaker 1: the degree of producer that would cause him to be 893 00:53:59,239 --> 00:54:02,319 Speaker 1: listed on the only nomination, like he was some kind 894 00:54:02,320 --> 00:54:06,640 Speaker 1: of lower level producer or assistant of some kind. But uh, 895 00:54:06,840 --> 00:54:10,319 Speaker 1: definitely not you know what he claimed to be. Um 896 00:54:10,400 --> 00:54:12,480 Speaker 1: one thing he is uh and and one of the 897 00:54:12,480 --> 00:54:14,359 Speaker 1: things in his resume that did by the way, there 898 00:54:14,400 --> 00:54:17,719 Speaker 1: they're they're like over a hundred different employers listed in 899 00:54:17,719 --> 00:54:19,960 Speaker 1: his resume, so all of this stuff from like over 900 00:54:20,000 --> 00:54:22,120 Speaker 1: the court. Again, he's thirty five, So I just don't 901 00:54:22,120 --> 00:54:24,120 Speaker 1: know how they wouldn't see that, and like maybe maybe 902 00:54:24,120 --> 00:54:27,000 Speaker 1: it was just overload where they're like, well, God, look 903 00:54:27,040 --> 00:54:28,840 Speaker 1: at all this stuff? Where? How where where do you 904 00:54:28,840 --> 00:54:32,040 Speaker 1: even start? Um? Maybe start with the college degree that 905 00:54:32,120 --> 00:54:35,520 Speaker 1: the news organization was able to figure out that he 906 00:54:35,560 --> 00:54:37,640 Speaker 1: didn't get, you know, in five minutes, that would probably 907 00:54:37,840 --> 00:54:39,839 Speaker 1: be a good place to start. And if one thing 908 00:54:39,960 --> 00:54:44,160 Speaker 1: turns up, you know, fake chances are where they're smoke, 909 00:54:44,200 --> 00:54:48,200 Speaker 1: there's fire. But he is, in fact um an expert 910 00:54:48,320 --> 00:54:52,480 Speaker 1: in Yiddish culture, uh and the Yiddish language. He um 911 00:54:52,760 --> 00:54:56,520 Speaker 1: once held a position at the national Yiddish theater Folks 912 00:54:56,600 --> 00:55:00,479 Speaker 1: Baina in New York City. Um and was a big 913 00:55:00,520 --> 00:55:03,560 Speaker 1: hand in producing an all Yiddish language version of Fiddler 914 00:55:03,600 --> 00:55:06,759 Speaker 1: on the Roof that got some some mild acclaim. And 915 00:55:06,800 --> 00:55:08,600 Speaker 1: he also, you know, did write a musical that was 916 00:55:08,640 --> 00:55:11,399 Speaker 1: produced off Broadway. But I'm interested to see where this goes, 917 00:55:11,480 --> 00:55:15,360 Speaker 1: because you know, the the news organizations that are reporting 918 00:55:15,360 --> 00:55:18,120 Speaker 1: on this have reached out to him directly, have reached 919 00:55:18,120 --> 00:55:20,680 Speaker 1: out to his department and they've been kind of given 920 00:55:20,719 --> 00:55:24,320 Speaker 1: the runaround. So I think it is a pretty embarrassing 921 00:55:24,320 --> 00:55:26,280 Speaker 1: thing because it shows that somebody didn't do their homework. 922 00:55:26,600 --> 00:55:30,480 Speaker 1: So I'm also wondering, you know, maybe he just embellished 923 00:55:30,480 --> 00:55:33,239 Speaker 1: stuff that happens all the time and entertainment. You know, 924 00:55:33,320 --> 00:55:36,319 Speaker 1: maybe he's a featured extra and he's like, hey, they 925 00:55:36,360 --> 00:55:39,320 Speaker 1: did ask me about the lighting. That's a producer credit 926 00:55:39,520 --> 00:55:42,880 Speaker 1: for me. Or maybe he knows a guy named Tony 927 00:55:42,960 --> 00:55:46,799 Speaker 1: and he got his pal Tony into like print him 928 00:55:46,800 --> 00:55:50,160 Speaker 1: a certificate of some sort, you know, like, maybe it's 929 00:55:50,160 --> 00:55:52,319 Speaker 1: not all bad. Yeah, I mean, like I said, there 930 00:55:52,320 --> 00:55:54,520 Speaker 1: are a couple of things and that they definitely were true. Um. 931 00:55:54,560 --> 00:55:57,759 Speaker 1: And and he certainly embellished some things in terms of 932 00:55:57,800 --> 00:56:02,560 Speaker 1: the scale of his role. Um. But he absolutely made 933 00:56:02,600 --> 00:56:05,600 Speaker 1: some things up, quite a few things up entirely. Uh. 934 00:56:05,600 --> 00:56:08,040 Speaker 1: And I think the reason the story is interesting is 935 00:56:08,120 --> 00:56:10,400 Speaker 1: because of both sides of it. Like I said, I 936 00:56:10,440 --> 00:56:13,360 Speaker 1: think how common it is for people to lie on 937 00:56:13,400 --> 00:56:16,960 Speaker 1: their resume and how common it is for employers to 938 00:56:17,080 --> 00:56:22,279 Speaker 1: oftentimes not truly vet uh, you know, the the applications 939 00:56:22,320 --> 00:56:25,160 Speaker 1: they're receiving and actually found there's you know, what's the 940 00:56:25,239 --> 00:56:28,520 Speaker 1: legal ramifications for this. For example, so if you lie 941 00:56:28,560 --> 00:56:32,160 Speaker 1: on your resume and then are terminated for it, you 942 00:56:32,239 --> 00:56:35,640 Speaker 1: have no claim. You know, you really you really can't 943 00:56:35,800 --> 00:56:38,839 Speaker 1: you know, argue that you've been wrongfully terminated. You lose 944 00:56:38,880 --> 00:56:41,160 Speaker 1: any legal claim in the event that you're terminated, and 945 00:56:41,239 --> 00:56:47,040 Speaker 1: you also lose any legal claim to unemployment UM benefits. Right, 946 00:56:47,320 --> 00:56:50,799 Speaker 1: you can even let's say you lied about something and 947 00:56:50,840 --> 00:56:54,920 Speaker 1: then you know, did something that was considered criminally negligent 948 00:56:55,160 --> 00:56:57,799 Speaker 1: or uh, something that you were not qualified to do. 949 00:56:57,920 --> 00:57:00,440 Speaker 1: I think you think that would be on the employer. 950 00:57:00,800 --> 00:57:05,319 Speaker 1: But let's see, UM, there are certain cases where you 951 00:57:05,480 --> 00:57:09,280 Speaker 1: could be held liable for criminal responsibility, like, for example, 952 00:57:09,280 --> 00:57:14,080 Speaker 1: if you lie about military service UM to get a benefit, right, Uh, 953 00:57:14,200 --> 00:57:16,640 Speaker 1: then you can be prosecuted under something called the Stolen 954 00:57:16,720 --> 00:57:22,000 Speaker 1: Valor Act, which is interesting. UM Or, if you're trying 955 00:57:22,040 --> 00:57:25,520 Speaker 1: to get employment from a state or federal employer, the 956 00:57:25,640 --> 00:57:29,880 Speaker 1: crime of lying on the resume could be considered a 957 00:57:30,040 --> 00:57:33,440 Speaker 1: crime of lying to a federal or state government agent, 958 00:57:33,760 --> 00:57:37,640 Speaker 1: which would be the case in this situation. I would think, right, yeah, 959 00:57:37,840 --> 00:57:40,640 Speaker 1: that's an important distinction. I'm glad you made it so 960 00:57:40,760 --> 00:57:44,000 Speaker 1: technically for a lot of resumes because they are not 961 00:57:44,200 --> 00:57:48,080 Speaker 1: legal documents. You will have repercussions reled about them. But 962 00:57:48,080 --> 00:57:52,000 Speaker 1: depending on what you lie about, it's not technically a crime. However, 963 00:57:52,360 --> 00:57:55,640 Speaker 1: if you are, let's say, going for the state Department, 964 00:57:55,880 --> 00:57:59,840 Speaker 1: or you're going into a federal level position where you're 965 00:58:00,000 --> 00:58:04,680 Speaker 1: resume is evaluated by a federal agent, then it counts 966 00:58:04,680 --> 00:58:07,360 Speaker 1: as lying to a federal agent, which can it can 967 00:58:07,440 --> 00:58:10,160 Speaker 1: hit you pretty hard. It's real kicking the pants. That's 968 00:58:10,160 --> 00:58:13,000 Speaker 1: not just that's not just the possibility of a fine. 969 00:58:13,080 --> 00:58:17,360 Speaker 1: That's the possibility of hard time. That's why you always 970 00:58:17,520 --> 00:58:21,880 Speaker 1: get a job as an intern when your qualifications don't 971 00:58:21,920 --> 00:58:26,960 Speaker 1: matter at all. We're old, We're back in the daylight. 972 00:58:27,440 --> 00:58:31,520 Speaker 1: Have you seen job applications now it's like entry level, 973 00:58:31,760 --> 00:58:35,480 Speaker 1: Please have five years of experience. Yeah, like, okay, sure, 974 00:58:35,560 --> 00:58:40,120 Speaker 1: we'll just generate that with this resume. This is an 975 00:58:40,200 --> 00:58:46,440 Speaker 1: unpaid position. Must live in Manhattan. It is insane. I 976 00:58:46,440 --> 00:58:49,080 Speaker 1: mean it really is insane. And and yeah, we cannot 977 00:58:49,120 --> 00:58:53,480 Speaker 1: forget how lucky we are. And uh yeah, in a 978 00:58:53,480 --> 00:58:56,400 Speaker 1: place of privilege for for having a job right now 979 00:58:57,280 --> 00:58:59,680 Speaker 1: we've got back then. But I just want to say, you, guys, 980 00:59:00,440 --> 00:59:05,040 Speaker 1: I just watched a horror movie with this as the 981 00:59:05,040 --> 00:59:08,200 Speaker 1: premise that you can go out and watch right now 982 00:59:08,240 --> 00:59:10,720 Speaker 1: if you have a streaming service. I can't remember which 983 00:59:10,760 --> 00:59:13,080 Speaker 1: one I watched it on, but the movie I think 984 00:59:13,080 --> 00:59:15,480 Speaker 1: it's on Netflix, which could be good because a lot 985 00:59:15,520 --> 00:59:19,520 Speaker 1: of us have that. It's called Things Heard and Seen. 986 00:59:20,000 --> 00:59:22,840 Speaker 1: That's what it's called. And I'm not going to spoil 987 00:59:22,880 --> 00:59:28,480 Speaker 1: it for you, but at the crux of what's happening here, 988 00:59:28,880 --> 00:59:32,400 Speaker 1: there is a fudged resume. You're going to really make 989 00:59:32,440 --> 00:59:34,800 Speaker 1: me watch the whole film. You don't, you don't need 990 00:59:34,840 --> 00:59:37,320 Speaker 1: to watch, Just text me afterwards and tell me what happens. 991 00:59:39,080 --> 00:59:41,480 Speaker 1: It's you can fast force Netflix. You could just be like, oh, 992 00:59:41,520 --> 00:59:44,560 Speaker 1: here's the end, and you spoil it for yourself. But 993 00:59:44,600 --> 00:59:47,200 Speaker 1: it's pretty good. I like I like the cast a lot, 994 00:59:47,240 --> 00:59:49,640 Speaker 1: and it's got a pretty good team behind it. It's 995 00:59:49,360 --> 00:59:52,680 Speaker 1: it is not highly rated just for everyone out there, 996 00:59:52,840 --> 00:59:54,600 Speaker 1: but I think there's a lot of cool stuff going 997 00:59:54,640 --> 00:59:57,080 Speaker 1: on in the film, and it does have a fudge 998 00:59:57,120 --> 01:00:02,480 Speaker 1: resume in it of rotten tomatoes. Yeah, okay, yeah, well, 999 01:00:02,560 --> 01:00:05,160 Speaker 1: you know, don't let critics tell you what to think. 1000 01:00:05,280 --> 01:00:07,120 Speaker 1: Check out a film and if you enjoy it, then 1001 01:00:07,160 --> 01:00:09,880 Speaker 1: you enjoy it. I think her name is Amanda I 1002 01:00:09,920 --> 01:00:13,400 Speaker 1: cannot remember her full name, but she the lead in 1003 01:00:13,520 --> 01:00:17,280 Speaker 1: it is really really good and the dude is great 1004 01:00:17,320 --> 01:00:23,280 Speaker 1: to uh James Norton is his name, and Amanda Sea Freed. Yeah, 1005 01:00:23,360 --> 01:00:25,600 Speaker 1: I think that might be. It just really really good 1006 01:00:25,600 --> 01:00:30,720 Speaker 1: performances when it comes to acting. You know, patch, I patch, 1007 01:00:30,800 --> 01:00:33,800 Speaker 1: I get to get the eye patch, all right. But yeah, 1008 01:00:33,800 --> 01:00:36,600 Speaker 1: I'm sorry you guys. I know I didn't mean to 1009 01:00:36,600 --> 01:00:39,240 Speaker 1: take us off base anymore, but now that's that's exactly 1010 01:00:39,240 --> 01:00:41,800 Speaker 1: where we need to go. Um. This is sort of 1011 01:00:41,840 --> 01:00:44,480 Speaker 1: a silly story, but also I don't know, not really 1012 01:00:44,520 --> 01:00:48,480 Speaker 1: a conspiracy, but I guess deceiving people on a you know, 1013 01:00:48,840 --> 01:00:52,520 Speaker 1: um large scale like this, it's a form of conspiracy. 1014 01:00:52,520 --> 01:00:56,320 Speaker 1: It's a conspiracy of one. Um. And I'm interested to 1015 01:00:56,320 --> 01:00:59,480 Speaker 1: see what happens if the university kind of cops to 1016 01:00:59,600 --> 01:01:02,320 Speaker 1: and says, okay, you got us. Um. But I just 1017 01:01:02,360 --> 01:01:04,920 Speaker 1: can't imagine this is going to go very well for 1018 01:01:04,960 --> 01:01:08,080 Speaker 1: this gentleman in terms of future employment. But it is 1019 01:01:08,120 --> 01:01:10,920 Speaker 1: something that to think about, you know, maybe be a 1020 01:01:10,920 --> 01:01:14,120 Speaker 1: little careful when you're you know, fudging things on your resume, 1021 01:01:14,840 --> 01:01:17,240 Speaker 1: because there could come a time where you get called 1022 01:01:17,280 --> 01:01:20,680 Speaker 1: on it and put on blast on the internet. Hopefully 1023 01:01:20,720 --> 01:01:24,600 Speaker 1: he'll strongly consider breaking the habit of being dishonest. Yeah, 1024 01:01:24,680 --> 01:01:27,320 Speaker 1: I would hope so too, Doctor. You never know what 1025 01:01:27,400 --> 01:01:30,520 Speaker 1: those types. You know, nobody got the Lincoln Park reference? 1026 01:01:30,880 --> 01:01:33,120 Speaker 1: Nobody likes that song? Is that a Lincoln Park reference? 1027 01:01:33,360 --> 01:01:34,920 Speaker 1: I was gonna let it. I was gonna let that 1028 01:01:34,960 --> 01:01:38,400 Speaker 1: one slide and just see if anybody noticed. And we've 1029 01:01:38,440 --> 01:01:41,160 Speaker 1: come full circle in the end, none of this really 1030 01:01:41,360 --> 01:01:45,320 Speaker 1: even matters. Also, this is this does become It only 1031 01:01:45,360 --> 01:01:51,240 Speaker 1: becomes a conspiracy when multiple people are working together on it. 1032 01:01:51,400 --> 01:01:55,320 Speaker 1: So it's quite possible, given this guy's story career, that 1033 01:01:55,480 --> 01:01:58,600 Speaker 1: someone knew and just didn't spill the beans. So yeah, 1034 01:01:58,760 --> 01:02:01,080 Speaker 1: I would. I would say that this does feel like 1035 01:02:01,120 --> 01:02:04,280 Speaker 1: a conspiracy. Someone had to know at some point. It 1036 01:02:04,360 --> 01:02:07,240 Speaker 1: took Fox five minutes to make that call, you know 1037 01:02:07,280 --> 01:02:10,840 Speaker 1: what I mean? Hang on cy patches getting to me today. 1038 01:02:11,160 --> 01:02:13,760 Speaker 1: Just just keep that in mind. I designed this rhyme 1039 01:02:14,680 --> 01:02:18,200 Speaker 1: to explain something that I can't remember. And what better, 1040 01:02:18,480 --> 01:02:24,480 Speaker 1: what better way? Everything is a lead in park reference 1041 01:02:24,480 --> 01:02:27,000 Speaker 1: when you think about it, And what a better way 1042 01:02:27,040 --> 01:02:31,760 Speaker 1: to end strange news for today folks. Clearly the most 1043 01:02:31,800 --> 01:02:34,120 Speaker 1: important thing you can do now is let us know 1044 01:02:34,400 --> 01:02:39,280 Speaker 1: your favorite uh, your favorite Mike Shinoda verse. Uh. And 1045 01:02:39,600 --> 01:02:42,560 Speaker 1: let us know your favorite deep cut Lincoln Park song. 1046 01:02:42,880 --> 01:02:47,080 Speaker 1: Let us know your stories about people lying on resumes. Uh. 1047 01:02:47,320 --> 01:02:51,160 Speaker 1: Let us know your concerns about makeup and p F 1048 01:02:51,200 --> 01:02:54,320 Speaker 1: A s. And let us know. Let us know what 1049 01:02:54,360 --> 01:02:57,840 Speaker 1: you think about space exploration. Let us know if you 1050 01:02:57,920 --> 01:03:00,760 Speaker 1: think something's up with it. There are a lot of 1051 01:03:00,800 --> 01:03:02,960 Speaker 1: people have written in the past. We've told us that 1052 01:03:03,280 --> 01:03:06,160 Speaker 1: maybe human beings should fix the planet they already have 1053 01:03:06,560 --> 01:03:09,080 Speaker 1: before darting off to a new one. We'd love to 1054 01:03:09,120 --> 01:03:11,360 Speaker 1: hear your takes. Remember, when you write to us, you 1055 01:03:11,400 --> 01:03:14,800 Speaker 1: may end up on a listener mail segment. So we 1056 01:03:14,880 --> 01:03:17,800 Speaker 1: try to make it easy to find us online. That's right. 1057 01:03:17,840 --> 01:03:19,920 Speaker 1: You can find us on the usual Internet locations of 1058 01:03:20,040 --> 01:03:23,000 Speaker 1: note to get the Facebook where we're conspiracy stuff. We're 1059 01:03:23,000 --> 01:03:28,520 Speaker 1: also conspiracy stuff on Twitter. Were conspiracy stuff show on Instagram? Yes? Yes, yes, 1060 01:03:29,560 --> 01:03:33,479 Speaker 1: YouTube conspiracy stuff. You can find us there. It's tough 1061 01:03:33,520 --> 01:03:36,440 Speaker 1: to search for a lot of our videos. For some reason, 1062 01:03:36,480 --> 01:03:38,720 Speaker 1: they just don't show up. So the best way to 1063 01:03:38,880 --> 01:03:41,680 Speaker 1: find any content that we've ever made in video form 1064 01:03:41,800 --> 01:03:44,800 Speaker 1: is to go to YouTube dot com slash conspiracy stuff 1065 01:03:45,040 --> 01:03:48,320 Speaker 1: and then search within that site and you'll be able 1066 01:03:48,360 --> 01:03:50,440 Speaker 1: to find stuff. If you don't want to do that, 1067 01:03:50,520 --> 01:03:53,320 Speaker 1: we do have a phone number. You can reach us 1068 01:03:53,360 --> 01:03:57,840 Speaker 1: at one eight three three st d w y t 1069 01:03:58,000 --> 01:04:02,360 Speaker 1: K three minutes. Those three minutes are yours. Give yourself 1070 01:04:02,400 --> 01:04:05,560 Speaker 1: a sick nickname. Let us know what's on your mind. 1071 01:04:05,720 --> 01:04:08,280 Speaker 1: Most importantly, let us know whether we can use your 1072 01:04:08,400 --> 01:04:11,880 Speaker 1: voice and or name and message on air. If there 1073 01:04:11,960 --> 01:04:13,680 Speaker 1: is something at the very end that you would just 1074 01:04:13,800 --> 01:04:17,920 Speaker 1: like to share with, share with the team, with Matt 1075 01:04:18,000 --> 01:04:21,320 Speaker 1: and and Doc and knowl and mission control of myself, 1076 01:04:21,480 --> 01:04:23,160 Speaker 1: then that's fine. Just leave it at the very end 1077 01:04:23,200 --> 01:04:26,680 Speaker 1: of the message. And most importantly, if you have a 1078 01:04:26,760 --> 01:04:30,560 Speaker 1: story that needs more than three minutes, don't feel like 1079 01:04:30,560 --> 01:04:32,840 Speaker 1: you have to sense to yourself that is antithetical to 1080 01:04:32,920 --> 01:04:36,000 Speaker 1: this show. Instead, write out the whole thing and send 1081 01:04:36,040 --> 01:04:39,400 Speaker 1: it to us. We read every single email we get. 1082 01:04:39,440 --> 01:04:41,760 Speaker 1: All you have to do, regardless of where you are 1083 01:04:41,920 --> 01:04:44,160 Speaker 1: and what time it is, is drop us a line 1084 01:04:44,280 --> 01:05:00,320 Speaker 1: where we are conspiracy at i heart radio dot com. Yeah, 1085 01:05:05,560 --> 01:05:07,680 Speaker 1: stuff they don't want you to know is a production 1086 01:05:07,720 --> 01:05:10,480 Speaker 1: of I Heart Radio. For more podcasts from my heart 1087 01:05:10,560 --> 01:05:13,400 Speaker 1: Radio visit the I heart Radio app, Apple podcasts, or 1088 01:05:13,400 --> 01:05:15,200 Speaker 1: wherever you listen to your favorite shows.