1 00:00:00,560 --> 00:00:05,320 Speaker 1: Fellow conspiracy realist. Merry Christmas. Happy Christmas to those who celebrate. 2 00:00:05,600 --> 00:00:09,240 Speaker 1: We are returning with part two of our classic series 3 00:00:09,320 --> 00:00:12,720 Speaker 1: on the Dark Side of the Loom. We recommend you 4 00:00:12,800 --> 00:00:15,080 Speaker 1: listen to it while you're opening presents. 5 00:00:15,720 --> 00:00:18,560 Speaker 2: Yeah, the question of where does all this stuff come from? 6 00:00:18,920 --> 00:00:20,280 Speaker 2: And where does it end up? 7 00:00:21,640 --> 00:00:24,760 Speaker 3: Oh? Did you get all the good stuff you wanted? Oh, 8 00:00:24,760 --> 00:00:27,560 Speaker 3: we hope you did. Did you give some cool presents away? 9 00:00:27,640 --> 00:00:31,200 Speaker 3: We know you did that? Part Well, this is just 10 00:00:31,280 --> 00:00:35,680 Speaker 3: an episode to remind you that there are some there's 11 00:00:35,680 --> 00:00:38,199 Speaker 3: some reality that we have to look at when we 12 00:00:38,280 --> 00:00:42,600 Speaker 3: take part in things like mass consumerism. And as fun 13 00:00:42,640 --> 00:00:44,120 Speaker 3: as it is and as nice as as it is, 14 00:00:45,120 --> 00:00:47,120 Speaker 3: there's just some stuff we should be aware of. 15 00:00:47,159 --> 00:00:50,239 Speaker 2: And as difficult it is to not participate in it 16 00:00:50,320 --> 00:00:53,240 Speaker 2: at all, as I'm certain comes up in these two episodes. 17 00:00:54,040 --> 00:00:56,200 Speaker 2: You know, I think we've talked about some folks who 18 00:00:56,280 --> 00:00:59,400 Speaker 2: tried this as an experiment and realized, like how nearly 19 00:00:59,440 --> 00:01:05,560 Speaker 2: impossible it is to remove mass production from one's life entirely. 20 00:01:06,600 --> 00:01:09,440 Speaker 1: Yeah, Like I was talking with you guys off air 21 00:01:09,480 --> 00:01:12,440 Speaker 1: about this. You ever run into a piece of clothing 22 00:01:12,520 --> 00:01:15,160 Speaker 1: you love and you're like, whoa this jacket is amazing? 23 00:01:15,440 --> 00:01:18,520 Speaker 1: How can it be so affordable? In this part of 24 00:01:18,640 --> 00:01:21,319 Speaker 1: Dark Side of the Loom, we're talking about the hidden 25 00:01:21,440 --> 00:01:26,040 Speaker 1: cost to what is sometimes called fast fashion, the underbelly 26 00:01:26,160 --> 00:01:32,520 Speaker 1: of worldwide aesthetics and cosmetic industries, and how this global 27 00:01:32,959 --> 00:01:36,920 Speaker 1: process may affect wildlife and the world in which you 28 00:01:37,040 --> 00:01:39,080 Speaker 1: live in twenty twenty six and beyond. 29 00:01:39,319 --> 00:01:41,520 Speaker 2: So why don't we jump into part two of Dark 30 00:01:41,520 --> 00:01:43,720 Speaker 2: Side of the Loom already in progress. 31 00:01:44,480 --> 00:01:48,920 Speaker 4: From UFOs to psychic powers and government conspiracies, history is 32 00:01:49,000 --> 00:01:53,320 Speaker 4: riddled with unexplained events. You can turn back now or 33 00:01:53,400 --> 00:01:56,360 Speaker 4: learn the stuff they don't want you to know. A 34 00:01:56,440 --> 00:01:58,160 Speaker 4: production of iHeart Radio. 35 00:02:08,480 --> 00:02:11,040 Speaker 3: Hello, welcome back to the show. My name is Matt, 36 00:02:11,240 --> 00:02:12,480 Speaker 3: my name is Nola. 37 00:02:12,680 --> 00:02:15,000 Speaker 1: They call me Ben. We are joined as always with 38 00:02:15,080 --> 00:02:19,079 Speaker 1: our super producer Paul, Mission Control decand most importantly, you 39 00:02:19,280 --> 00:02:22,160 Speaker 1: are you. You are here, and that makes this stuff 40 00:02:22,240 --> 00:02:25,720 Speaker 1: they don't want you to know. This is part two 41 00:02:26,120 --> 00:02:30,760 Speaker 1: of what turned out to be a continuing series on fashion, 42 00:02:31,360 --> 00:02:34,839 Speaker 1: The Dark Side of Fashion. In our previous episode, we 43 00:02:35,040 --> 00:02:39,680 Speaker 1: explored the troubling underbelly of the fashion industry. We touched 44 00:02:39,720 --> 00:02:45,360 Speaker 1: on problems such as exploitation of labor legislative loopholes around 45 00:02:45,360 --> 00:02:50,839 Speaker 1: the world, and cases of continuing outright slavery. In today's episode, 46 00:02:50,919 --> 00:02:55,080 Speaker 1: we're going to look at another aspect of the fashion industry, 47 00:02:55,600 --> 00:02:59,240 Speaker 1: its effect on the natural world, which is something I 48 00:02:59,280 --> 00:03:02,040 Speaker 1: think escapes a lot of folks. I know it escaped 49 00:03:02,160 --> 00:03:06,400 Speaker 1: me before we really dove into this. But let's start 50 00:03:06,440 --> 00:03:11,760 Speaker 1: with makeup, which is fascinating in itself. Here are the facts. 51 00:03:12,120 --> 00:03:16,200 Speaker 3: Yeah, the first use of early cosmetics generally goes back 52 00:03:16,240 --> 00:03:20,320 Speaker 3: to ancient Egypt, and it's not uncommon to find Egyptian 53 00:03:20,360 --> 00:03:23,640 Speaker 3: tombs that actually have makeup canisters or some kind of 54 00:03:24,440 --> 00:03:29,040 Speaker 3: makeup inside of them. It's kind of interesting stuff. And Cleopatra, 55 00:03:29,919 --> 00:03:32,600 Speaker 3: you may have heard this, she used lipstick. They got 56 00:03:32,600 --> 00:03:37,839 Speaker 3: a cue from ground carmine beetles. Eh, I mean, yeah, 57 00:03:37,880 --> 00:03:41,480 Speaker 3: you get hues wherever you can get them. Really, I mean. 58 00:03:43,120 --> 00:03:46,800 Speaker 1: Dies from animals, you know what I mean. The beatles 59 00:03:47,200 --> 00:03:49,320 Speaker 1: are still a part of this industry. 60 00:03:49,720 --> 00:03:52,960 Speaker 3: Exactly, and you know, and that was very striking to 61 00:03:53,080 --> 00:03:56,480 Speaker 3: use the beatles. Cleopatra's use of the beatles was very 62 00:03:56,480 --> 00:03:59,560 Speaker 3: striking because a lot of other women at the time, 63 00:04:00,120 --> 00:04:03,440 Speaker 3: anyone who was using makeup would have mixed clay essentially 64 00:04:03,480 --> 00:04:06,680 Speaker 3: with water to get coloring on their lips with a. 65 00:04:06,720 --> 00:04:08,160 Speaker 5: Red clay kind of situation. 66 00:04:08,360 --> 00:04:13,960 Speaker 6: Perhaps seasonal okay, seasonal clay. 67 00:04:13,800 --> 00:04:17,880 Speaker 3: Yeah, yeah, but there was other stuff that people used 68 00:04:18,680 --> 00:04:21,359 Speaker 3: to find color and to use it on their bodies. 69 00:04:21,520 --> 00:04:22,880 Speaker 6: Yeah, they were super ahead of the curve. 70 00:04:22,920 --> 00:04:26,400 Speaker 5: We're still talking about Egypt, where you could use coal, 71 00:04:26,800 --> 00:04:30,159 Speaker 5: which was a mix of metal lead, copper, ash, and 72 00:04:30,200 --> 00:04:33,760 Speaker 5: burnt almonds, and surprise, surprise, wasn't particularly good for you 73 00:04:34,080 --> 00:04:37,200 Speaker 5: good for your complexion making, you know, rubbing lead and 74 00:04:37,320 --> 00:04:41,120 Speaker 5: copper mixtures on your face probably not the best idea, 75 00:04:41,200 --> 00:04:43,640 Speaker 5: but it sure looked cool. Gave you this real iridescent, 76 00:04:43,800 --> 00:04:46,640 Speaker 5: kind of shiny eye circles, and both men and women 77 00:04:46,960 --> 00:04:49,320 Speaker 5: were all about this style. They painted these kind of 78 00:04:49,400 --> 00:04:52,360 Speaker 5: raccoon circles around their eyes, and the circles of coal 79 00:04:52,400 --> 00:04:55,839 Speaker 5: were meant to ward off the evil eye, which is 80 00:04:55,880 --> 00:04:58,760 Speaker 5: a thing you see often in Egyptian hieroglyphs I'm not 81 00:04:58,760 --> 00:05:02,400 Speaker 5: mistaken and dangerous spirits, and much like you'll see baseball 82 00:05:02,400 --> 00:05:05,880 Speaker 5: players and football players with those big, you know, kind 83 00:05:05,880 --> 00:05:09,480 Speaker 5: of dark lines under their eyes. Turns out it's really 84 00:05:09,480 --> 00:05:13,320 Speaker 5: good at deflecting the sun and keeping it out of 85 00:05:13,320 --> 00:05:16,800 Speaker 5: your eyes and keeping it from it keeps you cooler, essentially, 86 00:05:17,080 --> 00:05:20,840 Speaker 5: and it may have even inadvertently helped some of the 87 00:05:20,839 --> 00:05:25,040 Speaker 5: Egyptians ward off infectious diseases because even though the lead's 88 00:05:25,080 --> 00:05:27,000 Speaker 5: not good for you, and on the one hand, it 89 00:05:27,040 --> 00:05:32,560 Speaker 5: can kill off bacteria. But yeah, this wasn't necessarily as 90 00:05:32,640 --> 00:05:35,040 Speaker 5: much of a thing that we could see because Egyptians 91 00:05:35,080 --> 00:05:37,400 Speaker 5: didn't have particularly long life spans anyway. They were like 92 00:05:37,440 --> 00:05:41,600 Speaker 5: the hamsters of civilization. It might have actually killed them 93 00:05:41,640 --> 00:05:43,600 Speaker 5: off if they continued to wear it, if they had 94 00:05:43,640 --> 00:05:44,680 Speaker 5: had longer life spans. 95 00:05:45,160 --> 00:05:49,480 Speaker 1: Yep, lead is bad for you, it turns out, as 96 00:05:49,480 --> 00:05:51,960 Speaker 1: we've seen in the you know the now wind from 97 00:05:52,000 --> 00:05:58,680 Speaker 1: this studies correlating lead exposure in early childhood to problems 98 00:05:58,760 --> 00:06:02,000 Speaker 1: later in life. We talk about the Egyptians a lot 99 00:06:02,040 --> 00:06:06,279 Speaker 1: because it's the most commonly known example of what we 100 00:06:06,520 --> 00:06:12,760 Speaker 1: call prototype cosmetics. The ancient Greeks and Romans also painted 101 00:06:12,800 --> 00:06:17,640 Speaker 1: their faces with powders made up of various minerals or 102 00:06:17,760 --> 00:06:23,760 Speaker 1: ground stone. But we can't be too Egyptian centric or 103 00:06:23,760 --> 00:06:27,520 Speaker 1: Greco Roman centric, because if you think about it, cosmetics 104 00:06:27,640 --> 00:06:31,599 Speaker 1: appear in some form in virtually every culture. Like we 105 00:06:31,680 --> 00:06:35,080 Speaker 1: noted in the first part of the series. Fashion is 106 00:06:35,120 --> 00:06:39,680 Speaker 1: sometimes dismissed as something purely decorative, but it's also it 107 00:06:39,720 --> 00:06:43,360 Speaker 1: can be a powerful statement, and makeup is the same 108 00:06:43,400 --> 00:06:47,040 Speaker 1: way as multiple uses across the span of history, not 109 00:06:47,320 --> 00:06:52,960 Speaker 1: just relegated to the realm of decoration. Noel, I really 110 00:06:53,000 --> 00:06:57,320 Speaker 1: appreciate you pointing out that Cole served Kohl, by the way, 111 00:06:57,520 --> 00:07:03,839 Speaker 1: served a practical purpose. Makeup has and continues to serve 112 00:07:04,120 --> 00:07:08,440 Speaker 1: as a symbol of religious significance in some cases, or 113 00:07:08,600 --> 00:07:13,520 Speaker 1: of social status, like your example, Matt about the queen 114 00:07:14,400 --> 00:07:18,840 Speaker 1: getting the good fancy lipstick with beetles versus the old 115 00:07:18,880 --> 00:07:23,120 Speaker 1: claywater of the working class and the prolls. So just 116 00:07:23,240 --> 00:07:27,120 Speaker 1: like fashion, of course, makeup has gone, and we'll go 117 00:07:27,200 --> 00:07:31,280 Speaker 1: through multiple phases, different things go in and out of style. 118 00:07:31,560 --> 00:07:37,440 Speaker 1: The origin story of modern makeup, cosmetics, personal care products 119 00:07:37,440 --> 00:07:41,640 Speaker 1: as we understand it today, really starts at the dawn 120 00:07:41,920 --> 00:07:44,800 Speaker 1: of the twentieth century. That's when you see the emergence 121 00:07:44,840 --> 00:07:49,200 Speaker 1: of things like nail polishes, lipstick, mascaras in again what 122 00:07:49,240 --> 00:07:52,920 Speaker 1: we will call the modern form. And there are a 123 00:07:53,000 --> 00:07:58,000 Speaker 1: couple of really weird, well really fascinating social and technological 124 00:07:58,120 --> 00:08:04,120 Speaker 1: factors that coincide and birthed modern makeup or popularized it. 125 00:08:04,600 --> 00:08:07,679 Speaker 3: Well, yeah, I think about it. Right around this time, 126 00:08:08,560 --> 00:08:12,120 Speaker 3: for really the first time in a popular way, you 127 00:08:12,400 --> 00:08:17,360 Speaker 3: are probably having a picture taken of you, like a portrait, 128 00:08:18,040 --> 00:08:20,120 Speaker 3: something that is up close and personal. It's gonna show 129 00:08:20,200 --> 00:08:23,880 Speaker 3: everything going on up here, right, So yeah, I mean, 130 00:08:24,720 --> 00:08:28,840 Speaker 3: I mean seriously, you'd have to you'd have to really 131 00:08:29,440 --> 00:08:31,080 Speaker 3: save up your money if you wanted to get one 132 00:08:31,120 --> 00:08:34,440 Speaker 3: of these done, and you'd have to sit there for 133 00:08:34,520 --> 00:08:36,320 Speaker 3: a long time. It's be the one picture you got. 134 00:08:36,360 --> 00:08:38,840 Speaker 3: This is it, this is the this is your chance. 135 00:08:39,080 --> 00:08:41,760 Speaker 3: You got to make sure you look the absolute best. 136 00:08:42,120 --> 00:08:43,720 Speaker 3: It's not like you can take twenty eight of them 137 00:08:43,800 --> 00:08:45,720 Speaker 3: and then decide, hey, I'm gonna post this to my 138 00:08:45,760 --> 00:08:47,079 Speaker 3: eighteen hundreds Instagram. 139 00:08:47,360 --> 00:08:52,000 Speaker 1: And that time factor is also why people you don't 140 00:08:52,000 --> 00:08:55,199 Speaker 1: see a ton of people smiling in those old photos, 141 00:08:55,360 --> 00:08:59,320 Speaker 1: because you'd have to do this. We're so for so 142 00:08:59,720 --> 00:09:02,480 Speaker 1: very long. You know. I don't know about you guys, 143 00:09:02,480 --> 00:09:04,440 Speaker 1: but I grew up. When I was growing up, I 144 00:09:04,520 --> 00:09:08,319 Speaker 1: just thought everybody from that time was in a real mood. 145 00:09:08,400 --> 00:09:08,800 Speaker 6: Totally. 146 00:09:09,640 --> 00:09:11,599 Speaker 5: Did I make this up? Or weren't there even devices 147 00:09:11,600 --> 00:09:13,600 Speaker 5: that would like hold their heads in place or something 148 00:09:13,640 --> 00:09:15,760 Speaker 5: like that, like some kind of little thing that they 149 00:09:15,800 --> 00:09:17,520 Speaker 5: can I swear to God. 150 00:09:17,520 --> 00:09:21,640 Speaker 3: I know for the photography that became popular that was 151 00:09:21,679 --> 00:09:25,440 Speaker 3: like a photo of a dead body after someone had passed. 152 00:09:25,600 --> 00:09:28,880 Speaker 3: That kind of apparatus was created, But I don't know 153 00:09:28,960 --> 00:09:33,280 Speaker 3: about the actual like regular role a live human photography, 154 00:09:34,040 --> 00:09:36,480 Speaker 3: head bracers or I don't know what you'd call it. 155 00:09:36,559 --> 00:09:38,240 Speaker 6: All right, Maybe maybe I'm getting my. 156 00:09:38,200 --> 00:09:40,920 Speaker 3: Maybe I'm not saying you're wrong. I'm just saying I've 157 00:09:41,000 --> 00:09:41,560 Speaker 3: never heard of them. 158 00:09:41,640 --> 00:09:43,160 Speaker 6: No, I'm gonna go ahead and come out and say 159 00:09:43,160 --> 00:09:43,800 Speaker 6: it I'm wrong. 160 00:09:45,320 --> 00:09:48,439 Speaker 1: You know. There's something like that that happens though, especially 161 00:09:48,480 --> 00:09:53,839 Speaker 1: with photographs of infants, because their heads are really big. 162 00:09:54,280 --> 00:09:56,600 Speaker 1: So there's probably a mom or dad who's like, let 163 00:09:56,640 --> 00:09:59,520 Speaker 1: me prop up your nogging here, U. 164 00:10:00,160 --> 00:10:01,640 Speaker 3: And it's fine. That is still soft. You have the 165 00:10:01,679 --> 00:10:03,120 Speaker 3: soft spots. Find a worry about it will be. 166 00:10:03,280 --> 00:10:07,120 Speaker 1: Gently prop up in it. Yeah. The other factor, another 167 00:10:07,160 --> 00:10:11,080 Speaker 1: factor is that mirrors, true mirrors we would call them, 168 00:10:11,200 --> 00:10:14,400 Speaker 1: became much more affordable, so they were much more common 169 00:10:14,960 --> 00:10:18,240 Speaker 1: in the average person's home. But the big one, the 170 00:10:18,280 --> 00:10:21,680 Speaker 1: biggest badger in the makeup bag here is the rise 171 00:10:21,880 --> 00:10:26,400 Speaker 1: of the motion picture fundamentally change the world, fundamentally change 172 00:10:27,320 --> 00:10:32,560 Speaker 1: makeup and the normalization of how people should look, because 173 00:10:32,679 --> 00:10:35,120 Speaker 1: we have to remember that a lot of actors who 174 00:10:35,160 --> 00:10:38,600 Speaker 1: came into the early days of motion pictures were wearing 175 00:10:38,920 --> 00:10:43,079 Speaker 1: theatrical makeup for live stage, and that's very different because 176 00:10:43,320 --> 00:10:46,960 Speaker 1: you want something that exaggerates your facial feature, so even 177 00:10:47,000 --> 00:10:50,679 Speaker 1: the people way in the cheap seats can see your 178 00:10:51,160 --> 00:10:54,920 Speaker 1: emotions and the transformations you go through, and that just 179 00:10:55,000 --> 00:10:58,000 Speaker 1: looks screwy on film because you're really close up. 180 00:10:58,160 --> 00:11:01,160 Speaker 5: It's the same with acting styles being different from stage 181 00:11:01,160 --> 00:11:01,640 Speaker 5: to film. 182 00:11:01,720 --> 00:11:02,600 Speaker 6: You have to act. 183 00:11:02,520 --> 00:11:06,040 Speaker 5: Very large and in order for people to catch the 184 00:11:06,480 --> 00:11:08,640 Speaker 5: vibes that you're putting out there. In film, you can 185 00:11:08,679 --> 00:11:12,200 Speaker 5: act much more daintily and subtly. And by the way, 186 00:11:12,280 --> 00:11:14,920 Speaker 5: quick amendment, I was not wrong. It's called a head 187 00:11:14,920 --> 00:11:16,560 Speaker 5: brace and it's absolutely a thing. 188 00:11:17,440 --> 00:11:20,680 Speaker 3: Well there you go, Okay, I was wrong. 189 00:11:20,760 --> 00:11:23,440 Speaker 5: It's this weird medieval torture device looking thing on a 190 00:11:23,480 --> 00:11:25,800 Speaker 5: stand that sits behind you and you can you can 191 00:11:25,880 --> 00:11:28,560 Speaker 5: lengthen or shorten it depending on where you want your 192 00:11:28,559 --> 00:11:30,320 Speaker 5: head to be. And it's not like it is a 193 00:11:30,360 --> 00:11:32,080 Speaker 5: claw or something. It's something you sort of lean your 194 00:11:32,120 --> 00:11:34,520 Speaker 5: head back against because do you think about it, even 195 00:11:34,520 --> 00:11:36,000 Speaker 5: your neck muscles are going to get tired and you 196 00:11:36,040 --> 00:11:38,240 Speaker 5: might drift from one side to the other or forward 197 00:11:38,320 --> 00:11:40,400 Speaker 5: to back. Where this thing just sort of it's like 198 00:11:40,440 --> 00:11:43,360 Speaker 5: a fancy headrest on an office chair, only it's separate 199 00:11:43,360 --> 00:11:44,120 Speaker 5: and you can't see it. 200 00:11:44,040 --> 00:11:46,920 Speaker 3: In the picture. Well, yeah, I mean that's great. As 201 00:11:46,920 --> 00:11:50,520 Speaker 3: long as the spirit glue holds the mustache on your face, 202 00:11:50,640 --> 00:11:53,880 Speaker 3: then will be okay. I love it. 203 00:11:54,360 --> 00:11:58,679 Speaker 1: And those are technological innovations that evolved in step with 204 00:11:59,040 --> 00:12:02,400 Speaker 1: this new media is what we're having. We're having an 205 00:12:02,400 --> 00:12:07,600 Speaker 1: increasing democratization of media, but it's nothing like the breakdeck 206 00:12:07,679 --> 00:12:11,720 Speaker 1: pace we're at today and fast forward. Of course, makeup 207 00:12:12,160 --> 00:12:15,560 Speaker 1: cosmetics are a huge part of this, and today the 208 00:12:15,600 --> 00:12:19,400 Speaker 1: modern cosmetic industry, which is so huge that it's tough 209 00:12:19,400 --> 00:12:22,720 Speaker 1: to even call it a single industry, is an economic titan. 210 00:12:23,080 --> 00:12:27,439 Speaker 1: It is a financial leviathan. The main categories are each 211 00:12:28,920 --> 00:12:36,640 Speaker 1: industries of their own skincare, hair care, makeup, perfume, cologne, toiletries, deodorants. 212 00:12:37,400 --> 00:12:40,800 Speaker 1: Things are called oral cosmetics, which is an interesting kind 213 00:12:40,880 --> 00:12:46,480 Speaker 1: of liminal space. Anyway, Since the early twentieth century, the 214 00:12:46,520 --> 00:12:50,280 Speaker 1: production of all these products. Beauty and cosmetic products has 215 00:12:50,360 --> 00:12:54,560 Speaker 1: been controlled by a handful of corporations that I won't 216 00:12:54,600 --> 00:12:57,680 Speaker 1: call cabal's, but I mean they're just very huge and 217 00:12:57,800 --> 00:13:03,840 Speaker 1: very successful. Some specialized in these products, like Loreal. Others 218 00:13:04,040 --> 00:13:07,959 Speaker 1: own a ton of other things that are not associated 219 00:13:08,000 --> 00:13:11,720 Speaker 1: with cosmetics, like Unilever or Procter and Gamble, and then 220 00:13:11,760 --> 00:13:14,719 Speaker 1: there's Este Lauder and so on. What we're saying is 221 00:13:14,760 --> 00:13:20,160 Speaker 1: there are some big fish at the top, and as 222 00:13:20,240 --> 00:13:24,240 Speaker 1: of twenty eighteen, the US was considered and still is 223 00:13:24,280 --> 00:13:30,160 Speaker 1: considered the most valuable aka profitable beauty personal care market 224 00:13:30,280 --> 00:13:35,600 Speaker 1: in the world. In twenty eighteen alone, this industry generated 225 00:13:35,800 --> 00:13:40,680 Speaker 1: eighty nine point five billion dollars just in the US 226 00:13:40,760 --> 00:13:41,320 Speaker 1: in one year. 227 00:13:41,480 --> 00:13:47,640 Speaker 3: Wow. That's that's incredible. Okay, Well, let's talk about what 228 00:13:47,720 --> 00:13:50,840 Speaker 3: the FDA, the Food and Drug Administration, has to say. 229 00:13:51,840 --> 00:13:56,760 Speaker 3: They define cosmetics as quote articles intended to be applied 230 00:13:56,760 --> 00:14:01,400 Speaker 3: to the human body for cleansing, beautifying, promote attractiveness, or 231 00:14:01,440 --> 00:14:06,000 Speaker 3: altering the appearance without affecting the body's structure or functions. 232 00:14:06,120 --> 00:14:09,320 Speaker 5: I love that beautifying and preventing attractiveness or two different things. 233 00:14:09,360 --> 00:14:10,800 Speaker 6: Somehow I don't quite. 234 00:14:10,960 --> 00:14:13,559 Speaker 5: Understand the difference but they seem to be important enough 235 00:14:13,559 --> 00:14:14,480 Speaker 5: to be listed separately. 236 00:14:15,040 --> 00:14:17,080 Speaker 3: I don't know. I to me, that feels like one 237 00:14:17,160 --> 00:14:20,680 Speaker 3: is for you and one is for others. I don't 238 00:14:20,680 --> 00:14:23,440 Speaker 3: know if that's correct or not. But again, we we 239 00:14:23,480 --> 00:14:25,120 Speaker 3: talked about a lot of these things. We're talking about 240 00:14:25,200 --> 00:14:29,400 Speaker 3: skin creams, perfumes, all that stuff. Yeah, but everything to 241 00:14:29,840 --> 00:14:34,520 Speaker 3: even shampoo. Things you may not think about. As weird 242 00:14:34,520 --> 00:14:37,760 Speaker 3: as this sounds. There's there's ocular cosmetics if you think about, 243 00:14:39,000 --> 00:14:42,280 Speaker 3: like context that you can get. They're specialized, and all 244 00:14:42,280 --> 00:14:42,760 Speaker 3: these other. 245 00:14:42,600 --> 00:14:45,720 Speaker 1: Things weird to make your eyes all black right right 246 00:14:45,920 --> 00:14:46,400 Speaker 1: or whatever? 247 00:14:47,120 --> 00:14:52,200 Speaker 3: Mostly just black. It's really interesting stuff. Before we go 248 00:14:52,680 --> 00:14:54,520 Speaker 3: too much further, I want to ask, do you guys 249 00:14:54,680 --> 00:14:59,960 Speaker 3: know two people named Shane Dawson and Jeffrey Starr And. 250 00:15:00,120 --> 00:15:01,160 Speaker 1: The names are familiar? 251 00:15:01,920 --> 00:15:02,960 Speaker 6: Doesn't ring a bell for me? 252 00:15:03,400 --> 00:15:07,480 Speaker 3: Okay, my wife introduced me to this these Jeffrey Starr 253 00:15:07,520 --> 00:15:12,680 Speaker 3: is a well known cosmetics designer, and this company manufactures 254 00:15:12,760 --> 00:15:16,480 Speaker 3: a ton of different cosmetics. They put out I'm going 255 00:15:16,560 --> 00:15:19,560 Speaker 3: to use their incorrect terminology. I apologize to anybody who 256 00:15:19,640 --> 00:15:22,640 Speaker 3: knows this stuff. But they put out a makeup kit 257 00:15:22,920 --> 00:15:30,360 Speaker 3: called Conspiracy, and it genuinely had cool design and my 258 00:15:30,520 --> 00:15:34,760 Speaker 3: wife happened to get one, but they were in crazy 259 00:15:34,760 --> 00:15:38,640 Speaker 3: demand because these are these are YouTubers. They're like social 260 00:15:39,000 --> 00:15:44,240 Speaker 3: social media influence influencers, whatever that is, and they are 261 00:15:44,280 --> 00:15:46,880 Speaker 3: so popular. When they got together and put this thing together, 262 00:15:47,160 --> 00:15:50,800 Speaker 3: it they sold out of everything. That broke the Internet 263 00:15:50,840 --> 00:15:54,560 Speaker 3: a little bit. It's fascinating the way that that those 264 00:15:54,560 --> 00:15:57,160 Speaker 3: two worlds are connecting. And we can maybe talk about 265 00:15:57,160 --> 00:15:59,880 Speaker 3: that a little later. But yeah, social media influencers and 266 00:16:00,240 --> 00:16:01,360 Speaker 3: the cosmetics industry. 267 00:16:01,480 --> 00:16:03,840 Speaker 1: Oh yeah, do you have I was hoping for a 268 00:16:03,840 --> 00:16:06,000 Speaker 1: second mat that you would, you would have a show 269 00:16:06,000 --> 00:16:09,680 Speaker 1: and tell segment for us. But I'll just I'll check 270 00:16:09,720 --> 00:16:10,360 Speaker 1: it out later. 271 00:16:10,960 --> 00:16:12,960 Speaker 3: Maybe I can go get it. I think she still 272 00:16:13,000 --> 00:16:15,440 Speaker 3: got it somewhere I go. I'll go have to look. 273 00:16:15,760 --> 00:16:18,800 Speaker 1: Well, we'll find it. Maybe maybe they'll sponsor us at 274 00:16:18,800 --> 00:16:19,280 Speaker 1: some point. 275 00:16:19,400 --> 00:16:19,960 Speaker 6: Who knows. 276 00:16:21,000 --> 00:16:21,760 Speaker 3: They don't need us. 277 00:16:22,360 --> 00:16:24,520 Speaker 1: They probably don't know they I don't think they do. 278 00:16:24,840 --> 00:16:29,000 Speaker 1: But but you're right, there is a fascinating intersection, and 279 00:16:29,040 --> 00:16:32,480 Speaker 1: this is this industry is all about these fascinating, at 280 00:16:32,520 --> 00:16:36,800 Speaker 1: times disturbing intersections. I mentioned that liminal space earlier when 281 00:16:36,800 --> 00:16:41,280 Speaker 1: we talked about oral cosmetics. It's it's weird, and it 282 00:16:41,320 --> 00:16:44,200 Speaker 1: goes back to the idea of affecting the body's structure 283 00:16:44,360 --> 00:16:51,760 Speaker 1: or function being efficacious in some physiological way. So any 284 00:16:51,920 --> 00:16:55,360 Speaker 1: any ingredient used in a cosmetic falls under that FDA 285 00:16:56,160 --> 00:16:59,920 Speaker 1: definition that that you gave us earlier. But what about 286 00:17:00,240 --> 00:17:06,160 Speaker 1: products that have a physiological claim. Toothpaste is a weird example. 287 00:17:06,320 --> 00:17:10,840 Speaker 1: Sometimes toothpaste is a cosmetic, but if toothpaste says that 288 00:17:11,000 --> 00:17:15,240 Speaker 1: it does a specific thing to alter your body, such 289 00:17:15,280 --> 00:17:20,000 Speaker 1: as protecting you from cavities or whitening your teeth, then 290 00:17:20,080 --> 00:17:25,119 Speaker 1: the FDA may classify it as a drug. So people 291 00:17:25,119 --> 00:17:28,119 Speaker 1: are still working out what this means and when, and 292 00:17:28,880 --> 00:17:32,480 Speaker 1: it's an important question. I mean, makeup cosmetics are a 293 00:17:32,520 --> 00:17:37,119 Speaker 1: vital thing. There are numerous fascinating works on the history 294 00:17:37,119 --> 00:17:39,880 Speaker 1: of makeup alone. I'm sad we can't dive into more 295 00:17:39,920 --> 00:17:43,119 Speaker 1: of it. And there are thousands and thousands of experts 296 00:17:43,200 --> 00:17:47,240 Speaker 1: just like the ones you mentioned, Matt. There are innumerable 297 00:17:47,359 --> 00:17:51,000 Speaker 1: tutorial sites. There are so many people working in this 298 00:17:51,160 --> 00:17:57,119 Speaker 1: industry or associated with the manufacture, the sale, the transportation 299 00:17:57,720 --> 00:18:02,640 Speaker 1: of makeup. But it's turns out that makeup itself may 300 00:18:02,680 --> 00:18:06,920 Speaker 1: be covering something up. Get it. There may be something 301 00:18:07,080 --> 00:18:10,080 Speaker 1: sinister beneath the beautiful. 302 00:18:09,640 --> 00:18:12,239 Speaker 3: Surface of all that concealer. 303 00:18:12,160 --> 00:18:16,560 Speaker 1: Of all that concealer. Yes, it may be concealed. Oh god, 304 00:18:16,640 --> 00:18:20,800 Speaker 1: we have an abundance of puns, an embarrassment of makeup, 305 00:18:21,200 --> 00:18:24,480 Speaker 1: and a rich an abundance an abundance. 306 00:18:24,640 --> 00:18:29,840 Speaker 3: Yes, yes, break out the blush everyone. 307 00:18:28,800 --> 00:18:31,720 Speaker 1: And take some time. Let's all, let's all put our 308 00:18:31,720 --> 00:18:34,480 Speaker 1: faces on. As they say, we'll pause for a word 309 00:18:34,480 --> 00:18:36,800 Speaker 1: from our sponsor and we'll be right back. 310 00:18:44,359 --> 00:18:46,120 Speaker 4: Here's where it gets crazy. 311 00:18:47,040 --> 00:18:51,679 Speaker 1: Makeup has problems, no two ways about it. One of 312 00:18:51,720 --> 00:18:53,800 Speaker 1: the biggest ones I think a lot of our a 313 00:18:53,800 --> 00:18:57,000 Speaker 1: lot of our fellow listeners instantly thought of as you 314 00:18:57,040 --> 00:19:00,600 Speaker 1: saw the title for this episode is animals play a 315 00:19:00,640 --> 00:19:05,720 Speaker 1: big role and we have some returning tragedies to the 316 00:19:05,760 --> 00:19:07,840 Speaker 1: stage today. It's foreshadowing. 317 00:19:09,200 --> 00:19:13,560 Speaker 5: Yeah, animal testing. I mean, we've all seen fern Gully, 318 00:19:13,640 --> 00:19:18,600 Speaker 5: The Last Rainforest. Remember Robin Williams's character the bat Battie, 319 00:19:18,640 --> 00:19:21,439 Speaker 5: who does a really great rap talking about being an 320 00:19:21,480 --> 00:19:26,000 Speaker 5: animal test subjects in laboratories for cosmetic departments. 321 00:19:26,359 --> 00:19:26,960 Speaker 6: That's the thing. 322 00:19:27,480 --> 00:19:29,520 Speaker 5: It's a big deal, is the long standing arguments you 323 00:19:29,640 --> 00:19:33,919 Speaker 5: made that testing makeup ingredients on animals is a necessary 324 00:19:34,000 --> 00:19:37,280 Speaker 5: evil because you know, imagine the fall out if there 325 00:19:37,320 --> 00:19:39,320 Speaker 5: was some kind of skin cream that hit the market 326 00:19:39,359 --> 00:19:45,000 Speaker 5: and then gave people insane hives or rashes or worse. So, 327 00:19:45,040 --> 00:19:46,800 Speaker 5: with this in mind, many of these products have been 328 00:19:46,840 --> 00:19:49,960 Speaker 5: tested on animals, and ben correct me if I'm wrong. 329 00:19:50,000 --> 00:19:53,560 Speaker 5: We're literally talking about like a lab where somebody puts 330 00:19:53,600 --> 00:19:55,080 Speaker 5: lipstick on a bunny rabbit. 331 00:19:55,560 --> 00:19:56,719 Speaker 6: Is that? Is it? 332 00:19:56,920 --> 00:19:57,080 Speaker 7: That? 333 00:19:57,240 --> 00:19:59,560 Speaker 5: Am I oversimplifying it? What does this look like? 334 00:20:00,000 --> 00:20:02,000 Speaker 3: It's changed a lot over the years, and there are 335 00:20:02,040 --> 00:20:05,800 Speaker 3: a lot of different examples of it applications, and you know, 336 00:20:05,840 --> 00:20:09,160 Speaker 3: you don't have to necessarily, like if we're taking lipstick, 337 00:20:09,200 --> 00:20:11,280 Speaker 3: for example, you don't have to necessarily place it on 338 00:20:11,440 --> 00:20:16,000 Speaker 3: animal's lips to see if it does the thing. You 339 00:20:16,000 --> 00:20:20,359 Speaker 3: can place it just on skin essentially of certain species 340 00:20:20,400 --> 00:20:21,760 Speaker 3: to see if it's going to have a reaction. 341 00:20:22,280 --> 00:20:26,760 Speaker 1: Yeah, the testing is much worse than literal lipstick on 342 00:20:26,800 --> 00:20:27,240 Speaker 1: a pig. 343 00:20:27,560 --> 00:20:28,159 Speaker 4: Haha. 344 00:20:28,240 --> 00:20:32,160 Speaker 1: That's from my old English teachers and lovers of cliches. Yeah, 345 00:20:32,200 --> 00:20:34,000 Speaker 1: when it comes to the makeup in the animal world, 346 00:20:34,080 --> 00:20:37,840 Speaker 1: there are two primary issues. Animal products used as ingredients 347 00:20:37,920 --> 00:20:41,960 Speaker 1: and animal testing. There's still a big deal. Different countries 348 00:20:42,000 --> 00:20:45,240 Speaker 1: have their own sets of laws about this. There's not 349 00:20:45,600 --> 00:20:49,240 Speaker 1: like some un declaration about whether or not you should 350 00:20:49,320 --> 00:20:51,560 Speaker 1: test this stuff on animals and how you. 351 00:20:51,480 --> 00:20:52,080 Speaker 6: Should do it. 352 00:20:52,560 --> 00:20:57,639 Speaker 1: In the US, the Federal Food, Drug and Cosmetic Act, 353 00:20:58,119 --> 00:21:03,120 Speaker 1: which is created and overseen by the FDA, prohibits the 354 00:21:03,280 --> 00:21:07,879 Speaker 1: sale of what they call adulterated cosmetics, but they don't 355 00:21:07,920 --> 00:21:12,119 Speaker 1: require that animal tests be conducted to demonstrate that a 356 00:21:12,160 --> 00:21:16,800 Speaker 1: cosmetic is safe. Instead, they kick the responsibility to the manufacturer, 357 00:21:16,920 --> 00:21:23,120 Speaker 1: saying that the manufacturer has to perform whatever testing is necessary. 358 00:21:23,800 --> 00:21:27,000 Speaker 1: Compare that to a country like China, where the government 359 00:21:27,080 --> 00:21:32,800 Speaker 1: conducts mandatory animal tests on every single imported cosmetic product, 360 00:21:32,840 --> 00:21:36,520 Speaker 1: doesn't matter what it is. The government can also conduct 361 00:21:36,520 --> 00:21:39,120 Speaker 1: animal tests on items that have been pulled from any 362 00:21:39,200 --> 00:21:43,359 Speaker 1: store shelf. The European Union has had a ban on 363 00:21:44,840 --> 00:21:47,879 Speaker 1: types of animal testing and marketing of things that were 364 00:21:47,920 --> 00:21:51,320 Speaker 1: tested on animals since back in twenty and thirteen, so 365 00:21:51,440 --> 00:21:54,399 Speaker 1: for seven years. And then there's a laundry list of 366 00:21:54,480 --> 00:21:58,160 Speaker 1: other countries that fall somewhere in the middle they passed 367 00:21:58,320 --> 00:22:03,320 Speaker 1: similar laws against animal tis testing. They're like some states 368 00:22:03,320 --> 00:22:07,760 Speaker 1: have passed laws, like California or different states in Brazil, 369 00:22:08,320 --> 00:22:12,520 Speaker 1: so it's all over the place. Now to answer your 370 00:22:12,600 --> 00:22:16,280 Speaker 1: question you asked earlier, what kinds of tests are we 371 00:22:16,400 --> 00:22:20,280 Speaker 1: talking about? Well, what kind of animals are used in testing? 372 00:22:21,560 --> 00:22:23,600 Speaker 1: This is going to bother a lot of people. They're 373 00:22:23,640 --> 00:22:29,400 Speaker 1: typically cute animals. They're mice, rats, rabbits, guinea pigs, and 374 00:22:29,800 --> 00:22:34,280 Speaker 1: they're used because they are mammles and they have similarities 375 00:22:34,320 --> 00:22:37,320 Speaker 1: with humans broadly speaking. So the idea is that if 376 00:22:37,359 --> 00:22:42,919 Speaker 1: we expose an animal that's enough like us to a substance, 377 00:22:43,040 --> 00:22:46,600 Speaker 1: then we'll be able to predict what will possibly happen 378 00:22:46,680 --> 00:22:49,080 Speaker 1: to a human who is exposed to this substance. So 379 00:22:49,160 --> 00:22:53,280 Speaker 1: these tests are these tests can be pretty gruesome, Like 380 00:22:53,359 --> 00:22:57,080 Speaker 1: you were talking about Matt's skin and eye irritation tests. 381 00:22:57,520 --> 00:23:01,520 Speaker 1: That's where they'll shave an animal skin and they'll expose 382 00:23:01,600 --> 00:23:04,400 Speaker 1: its skin to a certain chemical or substance or product. 383 00:23:05,119 --> 00:23:06,960 Speaker 1: Usually it's the chemical or the substance. 384 00:23:07,440 --> 00:23:08,520 Speaker 6: This is usually. 385 00:23:08,160 --> 00:23:11,239 Speaker 1: Before they get to like the name brand stage. And 386 00:23:11,280 --> 00:23:15,680 Speaker 1: then these substances can also be dripped, like they'll restrain 387 00:23:16,119 --> 00:23:19,440 Speaker 1: a rabbit, for instance, and they'll drip in a substance 388 00:23:19,480 --> 00:23:23,120 Speaker 1: to its eye. Just the idea be that we'll see 389 00:23:23,160 --> 00:23:25,440 Speaker 1: how the rabbit's eye reacts and that'll teach us what 390 00:23:25,480 --> 00:23:28,239 Speaker 1: happens to a human eye if somebody gets you know, 391 00:23:29,040 --> 00:23:30,520 Speaker 1: mascare in their eye or something. 392 00:23:30,960 --> 00:23:35,080 Speaker 3: Yeah, and that's so that's what it's testing, if it 393 00:23:35,119 --> 00:23:37,240 Speaker 3: gets on your skin or just if you're using a 394 00:23:37,280 --> 00:23:39,359 Speaker 3: normal use, or if it gets in your eyes. But 395 00:23:39,560 --> 00:23:43,520 Speaker 3: other times they are testing to see what happens if 396 00:23:43,560 --> 00:23:48,280 Speaker 3: a human ingests this chemical. So if maybe a child 397 00:23:48,920 --> 00:23:51,320 Speaker 3: or an adventurous human gets a hold of some of 398 00:23:51,359 --> 00:23:54,040 Speaker 3: this makeup that has this chemical in it and they 399 00:23:54,160 --> 00:23:56,400 Speaker 3: just down a whole bunch of it, how much does 400 00:23:56,440 --> 00:23:59,879 Speaker 3: it take to cause serious harm to this person, to 401 00:24:00,200 --> 00:24:02,920 Speaker 3: cause what would be considered a poisoning, or to even 402 00:24:03,119 --> 00:24:07,840 Speaker 3: cause death to this person. So they do it to 403 00:24:07,920 --> 00:24:10,160 Speaker 3: the animals until it happens. 404 00:24:10,520 --> 00:24:12,919 Speaker 5: Isn't animal testing illegal in a lot of places in 405 00:24:12,960 --> 00:24:13,760 Speaker 5: the States. 406 00:24:13,440 --> 00:24:14,280 Speaker 3: Though, right? 407 00:24:14,359 --> 00:24:18,040 Speaker 1: Yeah, As we said earlier, California is probably the best 408 00:24:18,040 --> 00:24:21,960 Speaker 1: example of that. But it does go state to state 409 00:24:22,040 --> 00:24:26,200 Speaker 1: because again the FDA has put the onus of responsibility 410 00:24:27,000 --> 00:24:31,720 Speaker 1: on the manufacturer to test what you need. And that's 411 00:24:31,760 --> 00:24:33,720 Speaker 1: how we get to go back to the test. That's 412 00:24:33,720 --> 00:24:36,440 Speaker 1: how we get things like you're describing that lethal dose test. 413 00:24:38,240 --> 00:24:43,320 Speaker 1: This is similar to those tests you hear about a 414 00:24:43,400 --> 00:24:48,480 Speaker 1: sugar substitute, for instance, causing cancer and rats then force 415 00:24:48,520 --> 00:24:54,120 Speaker 1: feeding stuff like at what threshold of ingestion will insert 416 00:24:54,240 --> 00:24:58,280 Speaker 1: thing here give you cancer or cause birth defects? 417 00:24:58,680 --> 00:24:59,679 Speaker 3: Right right? 418 00:25:00,200 --> 00:25:04,040 Speaker 5: But also like a lot of these companies obviously manufacture 419 00:25:04,080 --> 00:25:07,800 Speaker 5: their products in other countries, and there are different laws 420 00:25:07,800 --> 00:25:10,080 Speaker 5: in other countries. And I was just looking around, googling 421 00:25:10,119 --> 00:25:13,119 Speaker 5: around a little bit, and apparently in China, full on 422 00:25:13,160 --> 00:25:17,040 Speaker 5: animal testing is still a thing in companies like Esta, Lauter, Clinique, 423 00:25:17,040 --> 00:25:24,000 Speaker 5: Mary Kay, It's Mabeling brands. You know, big brands still 424 00:25:24,119 --> 00:25:26,360 Speaker 5: do full on animal testing in China. 425 00:25:26,560 --> 00:25:29,560 Speaker 1: Yeah, because it's the law they have to in China. 426 00:25:30,119 --> 00:25:33,560 Speaker 1: So there, you know, you can find a lot of 427 00:25:33,560 --> 00:25:38,040 Speaker 1: stats on this from various places. Institutions that admittedly have agendas, 428 00:25:38,480 --> 00:25:42,119 Speaker 1: like the Humane Society, I mean, it's their job to 429 00:25:42,280 --> 00:25:47,040 Speaker 1: be kind of biased in this regard because they want 430 00:25:47,119 --> 00:25:50,760 Speaker 1: to they advocate for the humane treatment of animals. So 431 00:25:50,880 --> 00:25:54,480 Speaker 1: according to the Humane Society, these animals are often killed 432 00:25:54,520 --> 00:25:58,000 Speaker 1: at the end of a testing process, typically bias sphyxiation, 433 00:25:58,440 --> 00:26:03,520 Speaker 1: having their next broken, or being decapitated. Opponents of animal 434 00:26:03,560 --> 00:26:08,560 Speaker 1: testing argue one that it's unnecessarily cruel. But they also 435 00:26:08,640 --> 00:26:11,400 Speaker 1: point out that in many cases, the results of these 436 00:26:11,440 --> 00:26:15,680 Speaker 1: tests may not be near as accurate as we might 437 00:26:15,760 --> 00:26:20,800 Speaker 1: want to believe. Different species respond differently to the same chemicals, 438 00:26:20,880 --> 00:26:22,960 Speaker 1: you know what I mean, Like you can eat chocolate, 439 00:26:23,040 --> 00:26:26,439 Speaker 1: but your dog probably shouldn't, right, And dogs and humans 440 00:26:26,440 --> 00:26:30,240 Speaker 1: are very similar, and so results from these tests may 441 00:26:30,280 --> 00:26:35,040 Speaker 1: not always be relevant to humans. They can overestimate or 442 00:26:35,080 --> 00:26:40,159 Speaker 1: more dangerously underestimate possible hazardous effects for people. 443 00:26:40,640 --> 00:26:45,280 Speaker 5: So at the moment, there are a series of legal 444 00:26:45,440 --> 00:26:50,720 Speaker 5: and industry initiatives pushing to ban this kind of practice 445 00:26:50,720 --> 00:26:54,680 Speaker 5: and other related practices with as you can tell by 446 00:26:54,720 --> 00:26:57,600 Speaker 5: list of counters, you mentioned pretty significant results. 447 00:26:57,880 --> 00:26:58,840 Speaker 6: And you know, this. 448 00:26:58,760 --> 00:27:02,600 Speaker 5: Does seem to be a widespread thing where people are 449 00:27:02,720 --> 00:27:06,520 Speaker 5: uncomfortable with this by and large, But you know, outside 450 00:27:06,520 --> 00:27:09,159 Speaker 5: of even like the pedas and the humane societies of 451 00:27:09,200 --> 00:27:11,840 Speaker 5: the world, not a good look. I think your average 452 00:27:11,880 --> 00:27:14,600 Speaker 5: person would probably not be okay with this. But while 453 00:27:14,640 --> 00:27:17,480 Speaker 5: we're on the subject of animal testing, what about using 454 00:27:17,560 --> 00:27:20,520 Speaker 5: animals themselves as ingredients? 455 00:27:20,840 --> 00:27:23,200 Speaker 1: Well, let's I do want to be fair and point 456 00:27:23,200 --> 00:27:27,399 Speaker 1: out one thing we missed that we would be remiss 457 00:27:27,400 --> 00:27:30,520 Speaker 1: if we didn't say this proponents of animal testing do 458 00:27:30,720 --> 00:27:34,879 Speaker 1: have an historically solid argument, which is, isn't it better 459 00:27:35,000 --> 00:27:39,119 Speaker 1: to harm a non human animal than to risk harming 460 00:27:39,200 --> 00:27:39,960 Speaker 1: a human being. 461 00:27:40,440 --> 00:27:43,399 Speaker 3: I think that's a debate that I would have a 462 00:27:43,520 --> 00:27:48,240 Speaker 3: very hard time siding with and in it's not because 463 00:27:48,240 --> 00:27:50,520 Speaker 3: that my dog just barked. I love my dog. I 464 00:27:50,520 --> 00:27:52,640 Speaker 3: would never allow anything to happen t ur like that, 465 00:27:52,720 --> 00:27:54,800 Speaker 3: and I don't want anything to happen like this to 466 00:27:54,840 --> 00:27:58,040 Speaker 3: any other animals. We're just going to add the dog 467 00:27:58,119 --> 00:27:59,440 Speaker 3: barking as colors. Yeah. 468 00:28:00,280 --> 00:28:04,000 Speaker 1: Earlier, by the way, that crunch crunch was doctor Benkman. 469 00:28:04,320 --> 00:28:06,560 Speaker 5: It's also like, I mean, you could also throw into 470 00:28:06,600 --> 00:28:09,440 Speaker 5: the argument, it's not like these are life saving drugs. 471 00:28:09,800 --> 00:28:13,720 Speaker 5: These are essentially what some might consider frivolous or extra 472 00:28:14,080 --> 00:28:15,119 Speaker 5: or things that are. 473 00:28:15,400 --> 00:28:16,040 Speaker 3: Nice to have. 474 00:28:16,240 --> 00:28:18,399 Speaker 5: But do we really need this stuff? 475 00:28:18,560 --> 00:28:18,760 Speaker 3: You know? 476 00:28:18,840 --> 00:28:21,560 Speaker 5: I don't know many would say yes, God, yes we 477 00:28:21,640 --> 00:28:22,439 Speaker 5: need this, we need this. 478 00:28:22,520 --> 00:28:24,320 Speaker 3: But you know, but I guess what I'm saying is 479 00:28:24,359 --> 00:28:27,600 Speaker 3: internally just as a I'm just gonna keep it in 480 00:28:27,640 --> 00:28:30,760 Speaker 3: because it really does make sense. It does make sense 481 00:28:30,800 --> 00:28:33,600 Speaker 3: to me. The art the proponents of animal testing, their 482 00:28:33,640 --> 00:28:36,879 Speaker 3: arguments make complete sense to me, and I don't know 483 00:28:37,040 --> 00:28:40,960 Speaker 3: how you could make sure a chemical or a product 484 00:28:41,000 --> 00:28:44,280 Speaker 3: is safe unless you had that information, you know, for 485 00:28:44,400 --> 00:28:47,480 Speaker 3: poison control, for response, especially if you're thinking about a 486 00:28:47,600 --> 00:28:50,440 Speaker 3: child that ingests something like, how do you get that 487 00:28:50,560 --> 00:28:54,120 Speaker 3: data without this? And I guess that's my big question 488 00:28:55,080 --> 00:28:59,360 Speaker 3: to anybody who is completely against animal testing, which I 489 00:28:59,400 --> 00:29:02,600 Speaker 3: think I am, but I don't understand how we get 490 00:29:02,600 --> 00:29:03,640 Speaker 3: that data without it. 491 00:29:03,720 --> 00:29:06,480 Speaker 1: So it's like a necessary evil argument again there it 492 00:29:06,480 --> 00:29:13,360 Speaker 1: feel like, yeah, and so this this kind of you know, 493 00:29:13,400 --> 00:29:17,160 Speaker 1: while we're on the subject of animals, I think, as 494 00:29:17,160 --> 00:29:21,360 Speaker 1: you set us up here, there are numerous ingredients from 495 00:29:21,400 --> 00:29:24,560 Speaker 1: animals that are used. And this is a whole other 496 00:29:25,960 --> 00:29:33,239 Speaker 1: ball of palmade. I guess because things changed since the 497 00:29:33,280 --> 00:29:37,200 Speaker 1: age of Cleopatra and Beatle lipstick. But maybe they didn't 498 00:29:37,240 --> 00:29:41,360 Speaker 1: change as much as we might assume, because let's consider 499 00:29:41,560 --> 00:29:45,920 Speaker 1: people who practice a vegan lifestyle. By lifestyle, we mean 500 00:29:46,640 --> 00:29:50,000 Speaker 1: people who want to avoid what they see as exploitation 501 00:29:50,160 --> 00:29:55,440 Speaker 1: of animals in any possible sense. If you practice this lifestyle, 502 00:29:55,680 --> 00:29:59,440 Speaker 1: then it's crucial to know which types of makeup or 503 00:29:59,440 --> 00:30:03,680 Speaker 1: which brand of personal care products use animal ingredients. And 504 00:30:03,720 --> 00:30:06,120 Speaker 1: these ingredients this is what I was talking about with 505 00:30:06,160 --> 00:30:10,680 Speaker 1: a returning star. These ingredients include things that may not 506 00:30:10,960 --> 00:30:14,200 Speaker 1: sound like they come from animals when you read them 507 00:30:14,400 --> 00:30:18,480 Speaker 1: in like your list of ingredients. Retinol is found in 508 00:30:18,600 --> 00:30:22,640 Speaker 1: anti aging products. Estrogen. This is the weird fact that 509 00:30:22,640 --> 00:30:27,720 Speaker 1: I learned for today. Estrogen is obtained often by extracting 510 00:30:27,840 --> 00:30:32,560 Speaker 1: urine from pregnant horses. Doesn't really, I guess, hurt the horses. 511 00:30:33,040 --> 00:30:36,400 Speaker 1: It's just it probably weirds them out. You know, I 512 00:30:36,640 --> 00:30:40,720 Speaker 1: can understand being weirded out by that. Ambergris is one 513 00:30:41,040 --> 00:30:46,240 Speaker 1: you know, that's a waxy substance that lines the stomachs 514 00:30:46,280 --> 00:30:50,600 Speaker 1: of whales. And it's not used for like your skin. 515 00:30:51,200 --> 00:30:57,720 Speaker 1: It's used because it helps scent stay in perfume. And 516 00:30:57,760 --> 00:31:00,920 Speaker 1: that's an historical thing that's still used to date. A 517 00:31:01,040 --> 00:31:05,600 Speaker 1: returning guest is squaling, which we mentioned in an earlier 518 00:31:05,640 --> 00:31:11,040 Speaker 1: episode when we're talking about possible coronavirus vaccine and the 519 00:31:11,080 --> 00:31:14,880 Speaker 1: deaths of sharks. Because squalen's used in vaccines, we mentioned 520 00:31:14,880 --> 00:31:18,480 Speaker 1: it's used in cosmetics. It's extracted from the livers of 521 00:31:18,520 --> 00:31:21,760 Speaker 1: sharks in a way that is not super pleasant for 522 00:31:21,800 --> 00:31:25,240 Speaker 1: the sharks, and then it's added to eye makeup and lipstick. 523 00:31:26,040 --> 00:31:29,600 Speaker 3: Yeah, that's it's really strange. And those are not all 524 00:31:29,680 --> 00:31:35,000 Speaker 3: of the animal products that can be found in some cosmetics. Yeah, 525 00:31:35,040 --> 00:31:39,240 Speaker 3: no way, Yeah, And as you can tell just by 526 00:31:39,240 --> 00:31:42,280 Speaker 3: what Ben said, I mean, these can be derived in 527 00:31:42,280 --> 00:31:47,280 Speaker 3: a lot of different ways, from extracting urine or from 528 00:31:47,480 --> 00:31:53,040 Speaker 3: extracting essentially livers. Right, it's a there's a wide range 529 00:31:53,160 --> 00:31:56,480 Speaker 3: of how much harm you're actually doing to an animal 530 00:31:56,520 --> 00:31:59,520 Speaker 3: individually in the process to get it. But also when 531 00:31:59,520 --> 00:32:02,880 Speaker 3: you're using an animal as a product like this, it 532 00:32:03,080 --> 00:32:06,320 Speaker 3: generally doesn't bode well for the animals well being afterwards, 533 00:32:06,360 --> 00:32:07,440 Speaker 3: no matter how you're getting it. 534 00:32:07,680 --> 00:32:08,360 Speaker 6: Yeah, And the. 535 00:32:08,320 --> 00:32:12,480 Speaker 1: Burden of education is on you as the consumer. It's 536 00:32:12,520 --> 00:32:16,120 Speaker 1: on us as the end users. You're not going to 537 00:32:17,440 --> 00:32:20,640 Speaker 1: you're not going to go to your local makeup store 538 00:32:20,720 --> 00:32:26,120 Speaker 1: or something and see, like see an advertisement for a 539 00:32:26,440 --> 00:32:30,320 Speaker 1: foundation that says we proudly use animal products. Here they 540 00:32:30,320 --> 00:32:32,960 Speaker 1: are with a picture of the animal or something on there. 541 00:32:33,080 --> 00:32:35,560 Speaker 1: That's that's just not the kind of pr they're looking for. 542 00:32:36,160 --> 00:32:39,920 Speaker 3: Now with more squaling, now, with more more squaling. 543 00:32:40,400 --> 00:32:46,480 Speaker 1: Uh. And you can, however, be empowered by your own research. 544 00:32:46,520 --> 00:32:51,320 Speaker 1: You can find multiple resources online, multiple studies and databases 545 00:32:51,760 --> 00:32:55,880 Speaker 1: indicating whether animals are used in a given product, and 546 00:32:56,240 --> 00:32:59,680 Speaker 1: companies are transparent parent about this. You just have to 547 00:32:59,760 --> 00:33:03,240 Speaker 1: add and they'll you know, you'll be able to find 548 00:33:03,560 --> 00:33:07,920 Speaker 1: usually whether this is for testing purposes or whether it's 549 00:33:08,040 --> 00:33:12,960 Speaker 1: as a source of an ingredient. The testing purpose thing, again, 550 00:33:13,840 --> 00:33:16,640 Speaker 1: as I said earlier, depends on the laws of a 551 00:33:16,640 --> 00:33:21,520 Speaker 1: given region. So because of that, because of this pastiche 552 00:33:21,560 --> 00:33:25,400 Speaker 1: of laws, this can all be completely legal, it can 553 00:33:25,400 --> 00:33:29,800 Speaker 1: all be above board. It doesn't. It's not like some 554 00:33:30,360 --> 00:33:35,440 Speaker 1: cartel conspiracy necessarily, And because of that, the decision to 555 00:33:35,560 --> 00:33:39,400 Speaker 1: choose the cosmetics you want to use is it remains 556 00:33:39,400 --> 00:33:43,680 Speaker 1: a personal rather than a legal matter. But regardless of 557 00:33:43,720 --> 00:33:48,320 Speaker 1: what sort of ingredients or testing are involved, makeup and 558 00:33:48,520 --> 00:33:53,800 Speaker 1: the fashion industry overall has another secret, quite a dirty one, 559 00:33:54,000 --> 00:33:54,960 Speaker 1: and that's pollution. 560 00:33:55,720 --> 00:34:00,760 Speaker 3: Yes, been literally dirty. I love just that we're making 561 00:34:00,800 --> 00:34:05,760 Speaker 3: these concrete connections to words in this episode, and they 562 00:34:05,800 --> 00:34:09,799 Speaker 3: are puns, but they're also just exactly what we're talking 563 00:34:09,800 --> 00:34:13,120 Speaker 3: about here. I guess we just have to talk about something. 564 00:34:14,120 --> 00:34:18,879 Speaker 3: What happens when an industry starts out as pretty small, right, 565 00:34:19,280 --> 00:34:22,239 Speaker 3: It's not like it's not like the coal industry or 566 00:34:22,320 --> 00:34:25,800 Speaker 3: the oil industry, began as a giant behemoth, right, or 567 00:34:25,920 --> 00:34:29,759 Speaker 3: any other industry anything, really, it always starts small, and 568 00:34:29,800 --> 00:34:32,560 Speaker 3: it has to, that's just the nature of it. But 569 00:34:32,840 --> 00:34:35,640 Speaker 3: it begins to balloon in balloon and more people are doing, 570 00:34:35,719 --> 00:34:38,600 Speaker 3: more people are manufacturing, more people are enjoying whatever the 571 00:34:38,640 --> 00:34:41,000 Speaker 3: service or the product is, and it just at some 572 00:34:41,160 --> 00:34:44,399 Speaker 3: point it gets too big, right, And when it's once, 573 00:34:44,880 --> 00:34:48,959 Speaker 3: it becomes too big. And that's my judgment, right, too big, 574 00:34:50,320 --> 00:34:55,800 Speaker 3: there are going to be negative effects on everyone because 575 00:34:55,920 --> 00:34:59,960 Speaker 3: there's going to be a negative effect on environments. You know, 576 00:35:00,160 --> 00:35:04,319 Speaker 3: both in small areas, right and controlled areas, you're gonna 577 00:35:04,320 --> 00:35:07,080 Speaker 3: have really bad effects there, but also over all to 578 00:35:07,120 --> 00:35:10,120 Speaker 3: the entire planet there could be negative effects. Yeah. It's funny. 579 00:35:10,160 --> 00:35:12,719 Speaker 5: Even in like you know, podcasting, we always talk about 580 00:35:12,719 --> 00:35:14,840 Speaker 5: scaling and like you know, starting from a smaller company 581 00:35:14,880 --> 00:35:17,279 Speaker 5: and then launching way more shows, et cetera, et cetera. 582 00:35:17,360 --> 00:35:18,799 Speaker 5: I was thinking, like, oh, we're kind of lucky because 583 00:35:18,800 --> 00:35:22,480 Speaker 5: we're in sort of a zero pollution business. We don't 584 00:35:22,520 --> 00:35:25,239 Speaker 5: make products that like can end up in landfills. But 585 00:35:25,320 --> 00:35:27,600 Speaker 5: even that, like you know, when you scale on that level, 586 00:35:27,640 --> 00:35:30,640 Speaker 5: you start to having to add more server capacity or 587 00:35:30,680 --> 00:35:33,360 Speaker 5: like more computers, and that can lead to ways downstream. 588 00:35:33,560 --> 00:35:35,880 Speaker 5: It's just interesting anytime. Just to your point, Matt, that 589 00:35:35,960 --> 00:35:40,440 Speaker 5: an industry balloons in this way, there's gonna be collateral damage. 590 00:35:40,560 --> 00:35:43,560 Speaker 5: And with the fashion industry, where things are so seasonal, 591 00:35:44,040 --> 00:35:47,280 Speaker 5: you know, it's very easy to generate a massive amount 592 00:35:47,320 --> 00:35:50,040 Speaker 5: of waste, you know, on the clothing side of it alone, 593 00:35:50,160 --> 00:35:54,080 Speaker 5: let alone the cosmetics, the packaging, all the plastics. 594 00:35:54,239 --> 00:35:56,360 Speaker 6: We've been talking about that too. 595 00:35:56,239 --> 00:35:59,040 Speaker 3: Much lately, but it's absolutely a thing just to put 596 00:35:59,040 --> 00:36:01,480 Speaker 3: this out there before you move on. I would say 597 00:36:01,480 --> 00:36:04,720 Speaker 3: that depending on how you are listening to our voices 598 00:36:04,800 --> 00:36:08,640 Speaker 3: right now, we could be said to be creating noise 599 00:36:08,640 --> 00:36:11,320 Speaker 3: pollution just saying this is true. 600 00:36:11,239 --> 00:36:15,480 Speaker 1: Right because so many people uh only only roll down 601 00:36:16,000 --> 00:36:19,600 Speaker 1: local main street with this going through the subwoofers. 602 00:36:20,400 --> 00:36:23,440 Speaker 3: So is that you rolling down Rodeo Drive listening to 603 00:36:23,520 --> 00:36:24,200 Speaker 3: this right now? 604 00:36:24,880 --> 00:36:29,160 Speaker 1: Good shotgun? Yeah, So so this is uh, this is 605 00:36:29,200 --> 00:36:32,480 Speaker 1: a good point. Met. I would also say, we're talking, 606 00:36:32,800 --> 00:36:35,920 Speaker 1: uh to to the point about podcasting. We're talking about 607 00:36:36,480 --> 00:36:40,319 Speaker 1: hidden cost right as it was often as it would 608 00:36:40,320 --> 00:36:45,360 Speaker 1: often be described in economics, UH, a hidden environmental cost 609 00:36:45,440 --> 00:36:50,600 Speaker 1: of something like podcasting would be the fact that the 610 00:36:50,640 --> 00:36:55,640 Speaker 1: technology is reliant on rare earth metals, you know, the 611 00:36:55,719 --> 00:36:59,399 Speaker 1: both for the creators and the audience. The fact that 612 00:36:59,640 --> 00:37:02,640 Speaker 1: plat stick is used in the devices, the fact that 613 00:37:02,640 --> 00:37:07,160 Speaker 1: we're powered by electricity, right, and where is the electricity generated, 614 00:37:07,200 --> 00:37:09,040 Speaker 1: you know, ailes. 615 00:37:08,800 --> 00:37:11,440 Speaker 3: Oh it's coal powered electric you're right. And and all 616 00:37:11,480 --> 00:37:14,440 Speaker 3: the servers that are holding all the files that are 617 00:37:14,480 --> 00:37:17,640 Speaker 3: being sent across the world. Oh boy, there's this is 618 00:37:17,680 --> 00:37:18,840 Speaker 3: worse than we thought in all. 619 00:37:18,960 --> 00:37:23,280 Speaker 1: And the world of cosmetics, in the world of fashion 620 00:37:23,640 --> 00:37:27,000 Speaker 1: is no different. You know, there is a really compelling 621 00:37:27,239 --> 00:37:30,960 Speaker 1: argument that and I don't want to sound jaded, but 622 00:37:31,000 --> 00:37:34,360 Speaker 1: that an industry passed, any industry past a certain threshold 623 00:37:34,400 --> 00:37:40,200 Speaker 1: of size, does endanger what we call the commons, right, 624 00:37:40,320 --> 00:37:46,600 Speaker 1: the public things and resources. So, like we said, plastic, 625 00:37:47,480 --> 00:37:51,400 Speaker 1: the personal care industry is like ballpark five hundred billion 626 00:37:51,520 --> 00:37:55,400 Speaker 1: dollars worth of stuff a year. And and think about 627 00:37:55,520 --> 00:37:59,759 Speaker 1: think about how much it relies on plastic shampoo, body wash, lipstick, 628 00:38:00,120 --> 00:38:03,120 Speaker 1: scary cases, deodorant. You don't see this stuff in a 629 00:38:03,120 --> 00:38:06,600 Speaker 1: ton of like glass containers. The vast majority of these 630 00:38:06,640 --> 00:38:10,080 Speaker 1: products are more often than not sold in plastic containers, 631 00:38:10,120 --> 00:38:11,520 Speaker 1: not all, but a ton of them. 632 00:38:11,719 --> 00:38:14,719 Speaker 5: Yeah, it's sort of the same is with recycled plastic. 633 00:38:14,760 --> 00:38:17,960 Speaker 5: We talked about how it becomes you pay a premium 634 00:38:18,040 --> 00:38:20,600 Speaker 5: for getting goods made of recycled plastic because it costs 635 00:38:20,600 --> 00:38:23,440 Speaker 5: more to make. And it's the same with more luxury goods. 636 00:38:23,440 --> 00:38:27,359 Speaker 5: I mean perfume, like fancy bottle of perfume from Gucci 637 00:38:27,600 --> 00:38:29,759 Speaker 5: or you know, something like that, we'll still come in 638 00:38:29,800 --> 00:38:33,279 Speaker 5: a glass bottle. Fancy soaps that you get bespoke type 639 00:38:33,320 --> 00:38:36,160 Speaker 5: soaps on Pinterest or other sites like that. You know, 640 00:38:36,160 --> 00:38:39,320 Speaker 5: they're gonna come in bars and they're in crazy shapes 641 00:38:39,360 --> 00:38:41,720 Speaker 5: and have like wood chips inside of them and stuff 642 00:38:41,760 --> 00:38:45,680 Speaker 5: for exfoliation. But yeah, mass produced, that's the beauty of 643 00:38:46,320 --> 00:38:49,040 Speaker 5: mass production is for everybody. Everyone can afford to have 644 00:38:49,080 --> 00:38:51,439 Speaker 5: these things, where maybe in the past perfume would only 645 00:38:51,440 --> 00:38:54,600 Speaker 5: be available for those with lots of money. But in 646 00:38:54,680 --> 00:38:57,320 Speaker 5: order to do that, you have to make the packaging 647 00:38:57,440 --> 00:38:59,280 Speaker 5: cheaper and easier to mass produce. 648 00:38:59,560 --> 00:39:02,279 Speaker 1: Yeah, and you know, a lot of what's seen as 649 00:39:02,400 --> 00:39:05,520 Speaker 1: luxurious today there's a bit of nostalgia to it. There's 650 00:39:05,560 --> 00:39:09,239 Speaker 1: a retro factor. We're selling a concept as much as 651 00:39:09,239 --> 00:39:13,319 Speaker 1: we are selling a product. Right, Ultimately, all advertising is 652 00:39:13,360 --> 00:39:18,520 Speaker 1: selling an idea more so than a tangible object or 653 00:39:18,560 --> 00:39:22,600 Speaker 1: even a service. So that stuff you're describing hearkens back 654 00:39:22,640 --> 00:39:25,600 Speaker 1: to the not too distant pass when soap came in 655 00:39:25,640 --> 00:39:30,400 Speaker 1: a bar form and perfume was luxurious. Someone had to 656 00:39:30,400 --> 00:39:33,720 Speaker 1: go out and scrape the inside of a whale stomach. Yeah, 657 00:39:33,920 --> 00:39:37,239 Speaker 1: they also have some class class or metal bottle. Well, 658 00:39:37,280 --> 00:39:41,120 Speaker 1: no metal, but I have glass bottles. And haircare was packaged, 659 00:39:41,160 --> 00:39:45,000 Speaker 1: you know, in little tins, in little jars, and now 660 00:39:45,080 --> 00:39:47,880 Speaker 1: you can see you can still see that stuff because 661 00:39:48,000 --> 00:39:53,160 Speaker 1: it does it does feel more elevated. Right, This isn't 662 00:39:53,280 --> 00:39:59,280 Speaker 1: just your your plastic store brand shampoo or foot powder 663 00:39:59,400 --> 00:40:01,759 Speaker 1: or whatever. I don't know if footpowder is a cosmetic, 664 00:40:01,840 --> 00:40:03,600 Speaker 1: it's probably a drug if it fixes something. 665 00:40:03,800 --> 00:40:06,440 Speaker 3: I want to see more glass shampoo bottles, just to 666 00:40:06,600 --> 00:40:08,840 Speaker 3: like up the ante for when you're using it in 667 00:40:08,840 --> 00:40:11,720 Speaker 3: the shower, like, do not drop this shampoo? 668 00:40:12,200 --> 00:40:13,640 Speaker 1: Yeah that's right. 669 00:40:13,719 --> 00:40:16,839 Speaker 5: Yeah, Wow, whatever happened to soap on a rope too? 670 00:40:16,960 --> 00:40:17,320 Speaker 6: Guys? 671 00:40:17,719 --> 00:40:19,640 Speaker 5: I think they we should bring that back. Let'd that 672 00:40:19,719 --> 00:40:20,719 Speaker 5: be a nostalgia thing. 673 00:40:21,000 --> 00:40:24,160 Speaker 3: I'm pretty sure it's still available in several novelty stores 674 00:40:24,440 --> 00:40:26,240 Speaker 3: and places across the country. 675 00:40:26,480 --> 00:40:29,160 Speaker 5: Are they shaped like naughty things. 676 00:40:29,960 --> 00:40:30,399 Speaker 6: Oh don't. 677 00:40:30,440 --> 00:40:32,080 Speaker 3: I don't know what they're shaped like. I just know 678 00:40:32,120 --> 00:40:34,880 Speaker 3: that there's ropes with soaps, okay, and soaps. 679 00:40:35,239 --> 00:40:40,520 Speaker 1: There's a shop in the United Kingdom for some reason 680 00:40:40,640 --> 00:40:42,880 Speaker 1: was obsessed with a number of years ago called Labor 681 00:40:43,000 --> 00:40:48,160 Speaker 1: and Weight, and they they sell this kind of nostalgic stuff. 682 00:40:48,200 --> 00:40:52,080 Speaker 1: They sell like cardboard boxes of soap flakes, things like that. 683 00:40:52,120 --> 00:40:55,840 Speaker 1: But yeah, but to your point, to your point, Matt, this, 684 00:40:57,000 --> 00:40:58,839 Speaker 1: I didn't even think about that. That is such a 685 00:40:58,840 --> 00:41:02,080 Speaker 1: compelling reason for the use of plastic and shampoo bottle. 686 00:41:02,600 --> 00:41:07,200 Speaker 1: I mean the household injuries alone, honestly, Yeah, so many 687 00:41:07,239 --> 00:41:08,520 Speaker 1: people would hurt themselves. 688 00:41:08,560 --> 00:41:10,719 Speaker 3: But but but I totally here with the tin thing, right, 689 00:41:10,960 --> 00:41:13,960 Speaker 3: that's that's coming back. I've seen in several places where 690 00:41:14,040 --> 00:41:17,439 Speaker 3: it's a shampoo bar essentially it'll come in a tin 691 00:41:17,680 --> 00:41:19,440 Speaker 3: or something, or it will just be a shampoo bar 692 00:41:19,520 --> 00:41:20,240 Speaker 3: that stand alone. 693 00:41:20,560 --> 00:41:23,120 Speaker 1: To froth it up, they put it in your hair. Okay, 694 00:41:23,520 --> 00:41:26,000 Speaker 1: I didn't just rub the bar across your heads. 695 00:41:26,040 --> 00:41:27,280 Speaker 5: You got to get a good lab. 696 00:41:27,280 --> 00:41:28,920 Speaker 1: That going, get a good lab. 697 00:41:30,080 --> 00:41:33,280 Speaker 5: And then yeah, or like you know, palmades and stuff 698 00:41:33,320 --> 00:41:35,479 Speaker 5: things that are sort of retro. A lot of times 699 00:41:35,520 --> 00:41:38,960 Speaker 5: will come in tins or or glass jars, because it's 700 00:41:39,080 --> 00:41:41,200 Speaker 5: part of the vibe. It's part of like the the 701 00:41:41,239 --> 00:41:42,400 Speaker 5: optics of the product. 702 00:41:42,440 --> 00:41:42,640 Speaker 6: You know. 703 00:41:44,160 --> 00:41:46,560 Speaker 1: Yeah, again, we're selling an idea as much as we're 704 00:41:46,600 --> 00:41:49,719 Speaker 1: selling a product. And how how did how did we 705 00:41:49,760 --> 00:41:50,239 Speaker 1: get here? 706 00:41:50,320 --> 00:41:50,600 Speaker 5: Well? 707 00:41:50,719 --> 00:41:57,200 Speaker 1: After World War One, the US became the most prolific 708 00:41:57,280 --> 00:42:02,160 Speaker 1: producer of personal care beauty product and also the biggest consumer. 709 00:42:02,719 --> 00:42:06,080 Speaker 1: And part of that is not that the US was 710 00:42:06,520 --> 00:42:09,920 Speaker 1: super special or had the you know, some federal mandate 711 00:42:10,239 --> 00:42:14,080 Speaker 1: to become this titan. It's because Europe was recovering from 712 00:42:14,120 --> 00:42:19,920 Speaker 1: a mass of war, and things like things like popularizing 713 00:42:20,200 --> 00:42:24,960 Speaker 1: different esoteric or niche beauty products took a little bit 714 00:42:24,960 --> 00:42:30,640 Speaker 1: of an understandable backseat. There's a great article by a 715 00:42:30,680 --> 00:42:36,600 Speaker 1: writer named Alejandra Burunda in National Geographic that examines the 716 00:42:37,160 --> 00:42:40,880 Speaker 1: history here and also the rise of plastic. 717 00:42:41,160 --> 00:42:44,360 Speaker 3: Here's a quote. During the war, the military had imposed 718 00:42:44,560 --> 00:42:47,759 Speaker 3: strict hygiene codes as a way to prevent disease from 719 00:42:47,800 --> 00:42:51,200 Speaker 3: spreading amongst the troops, and when those soldiers returned home, 720 00:42:51,239 --> 00:42:54,600 Speaker 3: they brought with them in grained habits of washing, shaving, 721 00:42:54,640 --> 00:42:58,120 Speaker 3: and toothbrushing. By the mid nineteen twenties, a whole industry 722 00:42:58,120 --> 00:43:01,560 Speaker 3: of personal care popped up. In nineteen twenty six, the 723 00:43:01,640 --> 00:43:05,160 Speaker 3: Lever Company, which would later become Unilever, a major multi 724 00:43:05,280 --> 00:43:10,160 Speaker 3: national personal care product company, kicked off an ad campaign 725 00:43:10,200 --> 00:43:14,520 Speaker 3: outlining the damage body odor could do to one's career 726 00:43:14,880 --> 00:43:19,160 Speaker 3: and social prospects. Mmmmm, what does that remind me of? 727 00:43:20,400 --> 00:43:21,120 Speaker 3: What does that mean? 728 00:43:21,400 --> 00:43:22,200 Speaker 1: Howatosis? 729 00:43:22,239 --> 00:43:29,400 Speaker 3: Perhaps? Yeah, brenessh These doctors say the body odor that 730 00:43:29,440 --> 00:43:32,560 Speaker 3: your sporting is really not going to be great for you, 731 00:43:32,680 --> 00:43:33,839 Speaker 3: So you should. 732 00:43:33,600 --> 00:43:37,640 Speaker 1: Your job opportunity stink literally right. 733 00:43:37,440 --> 00:43:39,680 Speaker 3: Yeah, somewhere around here. 734 00:43:40,040 --> 00:43:44,239 Speaker 1: Right right. And uh, what I love about the way 735 00:43:44,280 --> 00:43:47,880 Speaker 1: that's written is there's this there's this strange kind of 736 00:43:48,200 --> 00:43:54,279 Speaker 1: implicit implication that before people came back from World War One, 737 00:43:54,719 --> 00:43:57,560 Speaker 1: no one was washing, shaving, or brushing their teeth. That's 738 00:43:57,600 --> 00:44:01,600 Speaker 1: not true, but but this military Harry regimen, you know, 739 00:44:01,719 --> 00:44:05,600 Speaker 1: became popularized and normalized. And at that very same time, 740 00:44:05,800 --> 00:44:11,320 Speaker 1: remember again, Hollywood is exploding. So now we see these 741 00:44:11,600 --> 00:44:15,399 Speaker 1: actors that we love, we worship, these modern celebrities. We 742 00:44:15,440 --> 00:44:17,839 Speaker 1: want to look like them. We want to know what 743 00:44:17,880 --> 00:44:20,040 Speaker 1: they use for a face cream, we want to know what, 744 00:44:20,840 --> 00:44:23,879 Speaker 1: you know, what they put on their armpits before they 745 00:44:23,880 --> 00:44:26,960 Speaker 1: go to a job interview. So it's big business. And 746 00:44:27,000 --> 00:44:31,319 Speaker 1: then when plastics come out, this enables the industry to 747 00:44:31,360 --> 00:44:36,040 Speaker 1: accelerate even more. Of course, the beauty industry immediately jumps 748 00:44:36,040 --> 00:44:39,319 Speaker 1: on plastic. How could you not. It's amazing for this 749 00:44:39,440 --> 00:44:43,600 Speaker 1: sort of stuff. It's durable, it's light, it can as 750 00:44:43,600 --> 00:44:48,880 Speaker 1: someone said earlier, it can scale. So that trend continues. Honestly, 751 00:44:48,920 --> 00:44:53,200 Speaker 1: that trend continues largely unabated in the modern day. There 752 00:44:53,200 --> 00:44:55,759 Speaker 1: are steps. People are taking steps to slow it down, 753 00:44:56,400 --> 00:44:59,560 Speaker 1: of course and look towards sustainability. And we'll find out 754 00:44:59,680 --> 00:45:02,000 Speaker 1: why they're doing that in just a minute. And it's 755 00:45:02,040 --> 00:45:06,360 Speaker 1: a depressing answer, but yes, plastic gase skiing because it works. 756 00:45:06,640 --> 00:45:09,080 Speaker 5: Yeah, And it's not to say this might not change 757 00:45:09,080 --> 00:45:11,879 Speaker 5: over the next couple of years, because they're as we've seen, 758 00:45:11,960 --> 00:45:15,120 Speaker 5: you know, with plastics. There are some large players taking 759 00:45:15,160 --> 00:45:16,960 Speaker 5: steps to combat the plastic problem. 760 00:45:17,000 --> 00:45:18,719 Speaker 6: Like we talked about on that episode with. 761 00:45:18,719 --> 00:45:23,920 Speaker 5: Lego, it's pivoting to using paper to contain their tiny 762 00:45:23,960 --> 00:45:25,320 Speaker 5: plastic pieces. 763 00:45:25,719 --> 00:45:27,360 Speaker 6: Yes, step in the right direction. 764 00:45:27,640 --> 00:45:31,600 Speaker 5: But in the cosmetics universe, Loreal is a giant is 765 00:45:31,640 --> 00:45:34,560 Speaker 5: aiming to make one hundred percent of their packaging reusable, 766 00:45:34,840 --> 00:45:40,080 Speaker 5: refillable which I love, and or compostable by twenty twenty five, 767 00:45:41,160 --> 00:45:44,759 Speaker 5: and they also are I wouldn't go so far as 768 00:45:44,760 --> 00:45:47,520 Speaker 5: to say committing, but they would. Essentially, their goal is 769 00:45:47,560 --> 00:45:50,880 Speaker 5: to source fifty percent of that packaging from recycled materials. 770 00:45:51,120 --> 00:45:54,680 Speaker 5: That's really good news. And in addition to plastic, there 771 00:45:54,680 --> 00:45:58,960 Speaker 5: are other cosmetic and personal care products that actually can 772 00:45:59,040 --> 00:46:03,120 Speaker 5: contain toxic chemicals that the environment doesn't. 773 00:46:02,760 --> 00:46:04,600 Speaker 6: Know what to do with. They can't break them down, 774 00:46:04,800 --> 00:46:05,920 Speaker 6: they can. 775 00:46:06,120 --> 00:46:10,760 Speaker 5: Create runoff that goes into water supplies, drain into rivers, 776 00:46:10,960 --> 00:46:14,080 Speaker 5: infiltrate the water system. It's bad news. So a whole 777 00:46:14,320 --> 00:46:19,560 Speaker 5: nother side of this discussion. And that's just one of 778 00:46:20,120 --> 00:46:23,920 Speaker 5: the many aspects that are difficult when it comes to 779 00:46:23,960 --> 00:46:27,279 Speaker 5: pollution and the world of fashion and cosmetics. And we're 780 00:46:27,280 --> 00:46:29,000 Speaker 5: going to get into more of those when we return 781 00:46:29,080 --> 00:46:30,200 Speaker 5: from a quick sponsor break. 782 00:46:38,239 --> 00:46:42,719 Speaker 1: Yes we've returned. Yeah. There is another facet to this, 783 00:46:42,920 --> 00:46:45,879 Speaker 1: to the world of fashion in general, beyond makeup, and 784 00:46:46,120 --> 00:46:50,040 Speaker 1: it's one that many of us have probably heard about 785 00:46:50,160 --> 00:46:54,480 Speaker 1: in recent years. It's the idea often reported that the 786 00:46:54,520 --> 00:46:59,239 Speaker 1: fashion industry clothing in particular, generates a great deal of 787 00:46:59,280 --> 00:47:05,000 Speaker 1: pollution and waste. You may recall hearing in particular, breathless, 788 00:47:05,280 --> 00:47:09,880 Speaker 1: somewhat hyperbolic headlines claiming the fashion industry is the second 789 00:47:09,920 --> 00:47:15,000 Speaker 1: most polluting industry in the world. There's like oil and 790 00:47:15,040 --> 00:47:18,120 Speaker 1: then the clothes you like, and that's a bummer, right. 791 00:47:19,960 --> 00:47:23,200 Speaker 1: But to find the truth, we did some digging and 792 00:47:23,280 --> 00:47:27,840 Speaker 1: there's a great article by an author named Alden Wicker 793 00:47:28,320 --> 00:47:33,120 Speaker 1: writing for an outfit called Eco Cult. And what I 794 00:47:33,160 --> 00:47:36,440 Speaker 1: love about this, if Alden you happen to be listening, 795 00:47:36,960 --> 00:47:41,239 Speaker 1: is that you specifically say, don't go quoting me and 796 00:47:41,280 --> 00:47:45,080 Speaker 1: say that Alden said this on Eco Cult. But we 797 00:47:45,120 --> 00:47:48,319 Speaker 1: looked at your math and it's solid and it makes 798 00:47:48,360 --> 00:47:49,360 Speaker 1: an important distinction. 799 00:47:49,480 --> 00:47:49,800 Speaker 3: Here. 800 00:47:50,400 --> 00:47:53,920 Speaker 1: There's a thing called the Global Fashion Agenda. In twenty seventeen, 801 00:47:54,160 --> 00:47:58,160 Speaker 1: they partnered with a consulting group called the Boston Consulting Group, 802 00:47:58,400 --> 00:48:02,280 Speaker 1: and they wanted to do some analysis and see whether 803 00:48:02,320 --> 00:48:05,839 Speaker 1: there was truth to that claim. They published this thing 804 00:48:05,920 --> 00:48:09,560 Speaker 1: called the Pulse of the Fashion Industry Report, and in 805 00:48:09,600 --> 00:48:13,399 Speaker 1: that they found that the fashion industry itself was responsible 806 00:48:13,520 --> 00:48:17,759 Speaker 1: for the emission of one point seven billion tons of 807 00:48:17,840 --> 00:48:23,480 Speaker 1: CO two and twenty fifteen. But that is only four 808 00:48:24,040 --> 00:48:29,719 Speaker 1: point three percent of the overall thirty nine point nine 809 00:48:29,840 --> 00:48:34,640 Speaker 1: billion tons of carbon emissions that the US overall put out, 810 00:48:34,800 --> 00:48:37,400 Speaker 1: So that's very far from second. That makes it the 811 00:48:37,480 --> 00:48:42,440 Speaker 1: tenth most polluting industry. Other things beat it, agriculture, transportation, 812 00:48:43,640 --> 00:48:46,600 Speaker 1: all of all of the Captain planet villains. 813 00:48:47,040 --> 00:48:50,560 Speaker 3: Basically, I apologize, man, I did not get a chance 814 00:48:50,600 --> 00:48:55,239 Speaker 3: to look at this article. Is it just relating to 815 00:48:55,680 --> 00:48:59,120 Speaker 3: the US, do we know? Or is it global? Like 816 00:49:00,440 --> 00:49:03,239 Speaker 3: because I'm just imagining all this fashion industry and all 817 00:49:03,400 --> 00:49:06,440 Speaker 3: the you know, different different plants that are producing all 818 00:49:06,440 --> 00:49:09,759 Speaker 3: the stuff that's used in fashion that are across the 819 00:49:09,760 --> 00:49:13,160 Speaker 3: world in very specific places. Because I'm it just makes 820 00:49:13,160 --> 00:49:16,760 Speaker 3: you wonder if they're looking at emissions that are actually 821 00:49:16,760 --> 00:49:19,279 Speaker 3: taking place on US soil, or if they're looking at 822 00:49:19,560 --> 00:49:21,919 Speaker 3: all of the emissions that the industry gives out. 823 00:49:22,360 --> 00:49:25,400 Speaker 1: And there's that intersection again, right, because these are global 824 00:49:25,480 --> 00:49:28,360 Speaker 1: supply chains. If we look at the emissions just in 825 00:49:28,400 --> 00:49:30,800 Speaker 1: the US, and that's an excellent question where that stat 826 00:49:31,200 --> 00:49:35,680 Speaker 1: is centered, then we're not looking at the emissions made 827 00:49:35,680 --> 00:49:40,080 Speaker 1: by factories where many of these pieces of clothing are manufactured. 828 00:49:41,560 --> 00:49:44,960 Speaker 1: This industry, there is there is another there's a more 829 00:49:45,000 --> 00:49:50,840 Speaker 1: global snack snapshot A snack shot. Sorry, guys, there's let's 830 00:49:50,880 --> 00:49:53,400 Speaker 1: keep it in I like snack shot, start using that. 831 00:49:54,040 --> 00:49:57,960 Speaker 1: But there's there's a more global snap shot here. In 832 00:49:58,080 --> 00:50:02,040 Speaker 1: August of this year. Just last month, the same outfit, 833 00:50:02,080 --> 00:50:05,960 Speaker 1: the Global Fashion Agenda, partnered with another returning guest to 834 00:50:06,000 --> 00:50:12,240 Speaker 1: our show, the consulting group McKenzie, which is a very powerful, 835 00:50:12,440 --> 00:50:17,200 Speaker 1: very weird, scary thing. Efficient efficient. 836 00:50:17,360 --> 00:50:18,920 Speaker 6: Yes, yes, they. 837 00:50:20,360 --> 00:50:25,760 Speaker 1: Are efficient. They got together and they did a new estimate. 838 00:50:26,000 --> 00:50:29,560 Speaker 1: They calculated a new estimate, and they found that the 839 00:50:29,600 --> 00:50:37,160 Speaker 1: fashion industry contributes to overall four percent of greenhouse gas 840 00:50:38,360 --> 00:50:41,000 Speaker 1: in the overall in the world. And there's a thing 841 00:50:41,040 --> 00:50:43,400 Speaker 1: that makes these numbers weird and significant, and that's what 842 00:50:43,440 --> 00:50:47,000 Speaker 1: we've been kind of dancing around. The fashion industry is 843 00:50:47,200 --> 00:50:55,200 Speaker 1: an aggregate industry. It's a culmination of multiple other related industries, 844 00:50:55,560 --> 00:50:57,640 Speaker 1: some that are obvious and some not so much. 845 00:50:58,239 --> 00:50:58,799 Speaker 6: That's right. 846 00:50:59,200 --> 00:51:02,160 Speaker 5: I mean, think about out the supply chain of what 847 00:51:02,280 --> 00:51:06,000 Speaker 5: goes into fashion. You know, there's agriculture involved. We've got 848 00:51:06,120 --> 00:51:12,040 Speaker 5: cotton agricultural product. We've got the fossil fuels that are 849 00:51:12,080 --> 00:51:16,359 Speaker 5: required to ship these raw materials to the factories where 850 00:51:16,400 --> 00:51:19,399 Speaker 5: they are then spun into the material that is then 851 00:51:19,520 --> 00:51:24,759 Speaker 5: used to actually make the clothing. Polyester a durable fabric, 852 00:51:26,120 --> 00:51:28,799 Speaker 5: kind of maligned, but it's used a lot, even if 853 00:51:28,800 --> 00:51:31,240 Speaker 5: you don't know it, because it's durable, but it's made 854 00:51:31,280 --> 00:51:35,000 Speaker 5: from plastic or that's an additive in an electricity leather. 855 00:51:35,440 --> 00:51:38,919 Speaker 5: You know, livestock's involved in part of the supply chain, 856 00:51:38,960 --> 00:51:41,120 Speaker 5: and there's just so many other industries that really play 857 00:51:41,280 --> 00:51:43,400 Speaker 5: like shipping all of this stuff that play a huge 858 00:51:43,760 --> 00:51:48,160 Speaker 5: role in here. And there's waste at every step of 859 00:51:48,200 --> 00:51:50,960 Speaker 5: the process. So in terms of waste, the fashion industry 860 00:51:50,960 --> 00:51:54,720 Speaker 5: is responsible for ninety two million tons of solid waste 861 00:51:54,719 --> 00:51:58,600 Speaker 5: per year, and that's across the entire planet, and that 862 00:51:58,640 --> 00:52:02,640 Speaker 5: represents four percent of the two point one two billion 863 00:52:02,719 --> 00:52:06,359 Speaker 5: tons of waste dumped each year. And that's even more 864 00:52:06,560 --> 00:52:09,759 Speaker 5: than incredibly toxic e waste, which would be like electronic 865 00:52:09,800 --> 00:52:14,239 Speaker 5: components that are discarded, and more than twice as much 866 00:52:14,280 --> 00:52:17,800 Speaker 5: as supermarkets create food waste. 867 00:52:18,719 --> 00:52:20,560 Speaker 6: And that one in particular never sits right with me. 868 00:52:20,600 --> 00:52:23,359 Speaker 5: And I have a thing to bring up when we 869 00:52:23,400 --> 00:52:27,759 Speaker 5: get to some of the actual waste of products that 870 00:52:27,800 --> 00:52:29,000 Speaker 5: comes from the fashion. 871 00:52:28,719 --> 00:52:32,239 Speaker 3: Insh Yeah, there's definitely stuff there. You guys, I never 872 00:52:32,400 --> 00:52:38,480 Speaker 3: thought about plastic buttons and components for garments, and Chloe, 873 00:52:38,520 --> 00:52:42,560 Speaker 3: I never thought about the amount of plastic that exists 874 00:52:42,600 --> 00:52:43,520 Speaker 3: just due to those things. 875 00:52:43,600 --> 00:52:46,760 Speaker 5: Think about that the shipping contant container of Lego parts 876 00:52:47,000 --> 00:52:49,560 Speaker 5: that spilled into the ocean, you know, I mean buttons 877 00:52:49,600 --> 00:52:51,960 Speaker 5: would be probably shipped to be a whole shipping container 878 00:52:52,000 --> 00:52:55,879 Speaker 5: full of millions of buttons and tiny little you know 879 00:52:56,560 --> 00:52:59,719 Speaker 5: what else would they be? Little you know, little accoutrements, 880 00:52:59,760 --> 00:53:02,959 Speaker 5: little like like highlight things like pace. 881 00:53:03,120 --> 00:53:09,440 Speaker 1: That's plastic zippers, aglets, you know, which is a totally 882 00:53:09,520 --> 00:53:12,120 Speaker 1: unnecessary word that I love in English? 883 00:53:12,280 --> 00:53:13,040 Speaker 6: Is that what that has been? 884 00:53:13,080 --> 00:53:14,880 Speaker 5: The little piece at the end of hoodie strings? 885 00:53:16,120 --> 00:53:18,759 Speaker 1: That's correct. Yeah, So that's that's my show and tell. 886 00:53:19,000 --> 00:53:22,279 Speaker 1: Not quite a conspiracy makeup kit, but you know, we're 887 00:53:22,320 --> 00:53:29,440 Speaker 1: working semi live. You're right, right, right, most people listening 888 00:53:29,440 --> 00:53:32,480 Speaker 1: to this are properly wearing some form of plastic under person. 889 00:53:32,640 --> 00:53:35,560 Speaker 1: You know, this stuff is everywhere, as we said, so 890 00:53:36,280 --> 00:53:39,799 Speaker 1: that's kind of the lay of the land. And so 891 00:53:39,880 --> 00:53:43,680 Speaker 1: our next question should logically be what are cosmetic and 892 00:53:43,760 --> 00:53:48,200 Speaker 1: fashion manufacturers doing to address these issues? To their credit, 893 00:53:49,000 --> 00:53:53,120 Speaker 1: multiple manufacturers have taken steps to combat one or more 894 00:53:53,160 --> 00:53:57,600 Speaker 1: of the specific issues described above. Makers of cosmetics have 895 00:53:57,760 --> 00:54:00,759 Speaker 1: responded to some of the demands of what are called 896 00:54:00,800 --> 00:54:05,600 Speaker 1: cruelty free movements, you know, and large clothing companies have 897 00:54:06,280 --> 00:54:12,160 Speaker 1: meticulously analyzed their supply chains. I'll say it often in 898 00:54:12,280 --> 00:54:16,799 Speaker 1: response to an outcry about exploitative labor or you know, 899 00:54:17,120 --> 00:54:18,840 Speaker 1: dodgy environmental practices. 900 00:54:18,880 --> 00:54:22,760 Speaker 3: But it's good. It means your voice matters, right. 901 00:54:22,920 --> 00:54:27,120 Speaker 1: Right, right again, it's empowerment. And in some cases they 902 00:54:27,200 --> 00:54:31,759 Speaker 1: have instituted sustainability programs of one sort or another, like 903 00:54:31,840 --> 00:54:38,120 Speaker 1: Loreal's goal to use more recycled substances. However, at the 904 00:54:38,160 --> 00:54:43,440 Speaker 1: same time, there's another factor at play. Some companies, some 905 00:54:43,560 --> 00:54:47,120 Speaker 1: of the same companies, actually are accelerating this trend of 906 00:54:47,120 --> 00:54:50,799 Speaker 1: pollution do in part to a phenomenon that I think 907 00:54:50,840 --> 00:54:56,480 Speaker 1: everybody's waiting to hear us say, fast fashion, the idea 908 00:54:56,560 --> 00:54:59,400 Speaker 1: that you can you don't have to buy something and 909 00:54:59,520 --> 00:55:03,719 Speaker 1: keep it or twenty five years. You can buy the 910 00:55:03,760 --> 00:55:07,840 Speaker 1: hottest look of that season, of that moment, and then 911 00:55:07,960 --> 00:55:10,400 Speaker 1: you can move on to the next. It will be affordable, 912 00:55:10,560 --> 00:55:11,520 Speaker 1: it will be disposable. 913 00:55:11,560 --> 00:55:14,239 Speaker 5: That's right, because the previous version of that would have 914 00:55:14,239 --> 00:55:17,360 Speaker 5: been luxury goods that were so expensive there would be 915 00:55:17,400 --> 00:55:20,600 Speaker 5: a resale market for them. Even if it's not you, 916 00:55:20,600 --> 00:55:23,920 Speaker 5: You're gonna sell it you for one hundreds of dollars potentially, 917 00:55:23,960 --> 00:55:26,440 Speaker 5: if it's like a Gucci item, then maybe it's two 918 00:55:26,480 --> 00:55:28,960 Speaker 5: seasons old, but there's still a market for that, whereas 919 00:55:29,040 --> 00:55:32,640 Speaker 5: like something from Zara or eh and M. You know, 920 00:55:33,160 --> 00:55:36,120 Speaker 5: less of an aftermarket for stuff like that. But that's 921 00:55:36,120 --> 00:55:37,919 Speaker 5: the part that drives me insane. I mean, every year, 922 00:55:38,000 --> 00:55:41,160 Speaker 5: the world consumes more than eighty billion items of clothing, 923 00:55:41,640 --> 00:55:44,920 Speaker 5: and the average individual in the US tosses eighty two 924 00:55:45,080 --> 00:55:48,440 Speaker 5: pounds of textile goods out each year, which adds up 925 00:55:48,480 --> 00:55:51,440 Speaker 5: to eleven million tons for the entire US. But like, 926 00:55:51,880 --> 00:55:55,000 Speaker 5: in the same way that waste, food waste makes no 927 00:55:55,120 --> 00:55:57,759 Speaker 5: sense to me, like because there's organizations that should be 928 00:55:57,800 --> 00:55:59,680 Speaker 5: able to funnel that to people that really need it. 929 00:56:00,000 --> 00:56:01,920 Speaker 5: Shouldn't that also be the case for a lot of 930 00:56:01,960 --> 00:56:03,960 Speaker 5: this clothing waste? 931 00:56:04,320 --> 00:56:07,440 Speaker 1: Oh god, yeah, I was thinking about putting this in 932 00:56:07,719 --> 00:56:09,759 Speaker 1: or if we should save it for a different episode. 933 00:56:09,800 --> 00:56:13,279 Speaker 1: But it's a terrible point and a very good one. 934 00:56:14,160 --> 00:56:17,839 Speaker 1: A lot of times that clothing that you donate if 935 00:56:17,880 --> 00:56:20,040 Speaker 1: you live in a Western country that is supposed to 936 00:56:20,080 --> 00:56:23,480 Speaker 1: go help other people who need clothing. A lot of 937 00:56:23,480 --> 00:56:27,080 Speaker 1: times that has a negative effect on the population people 938 00:56:27,120 --> 00:56:31,520 Speaker 1: are attempting to help. It can kill local textile businesses 939 00:56:31,760 --> 00:56:34,960 Speaker 1: because they can't compete with palette after palette of free 940 00:56:35,000 --> 00:56:38,640 Speaker 1: t shirts and pants and so on. It's just it's 941 00:56:39,120 --> 00:56:43,480 Speaker 1: the sustainable price versus virtually free. And a lot of 942 00:56:43,480 --> 00:56:46,320 Speaker 1: that stuff, by the way, doesn't get straight up donated 943 00:56:46,360 --> 00:56:49,480 Speaker 1: to people in need. It goes to someone who sells it. 944 00:56:50,120 --> 00:56:55,520 Speaker 1: So there are different rent seekers and opportunists at every 945 00:56:55,640 --> 00:56:59,719 Speaker 1: corner of this and and you're right, there is a 946 00:56:59,719 --> 00:57:02,879 Speaker 1: lot of waste. One time, I don't want to get 947 00:57:02,920 --> 00:57:06,359 Speaker 1: too personal here, but one time, in our fair metropolis 948 00:57:06,360 --> 00:57:09,640 Speaker 1: of Atlanta, I almost got arrested for giving away bread 949 00:57:10,600 --> 00:57:12,920 Speaker 1: that I that I got day old bread from a bakery. 950 00:57:12,960 --> 00:57:15,399 Speaker 1: I was walking around like some kind of cut rate 951 00:57:16,400 --> 00:57:19,720 Speaker 1: late summer Santa Claus with a big old plastic bag 952 00:57:19,840 --> 00:57:23,720 Speaker 1: of old day old croissants and fukasha and so on, 953 00:57:24,080 --> 00:57:27,840 Speaker 1: and handing it out to people want to bread and uh, 954 00:57:28,600 --> 00:57:29,560 Speaker 1: and the police found me. 955 00:57:30,160 --> 00:57:32,120 Speaker 3: What do they say to you? 956 00:57:32,120 --> 00:57:35,120 Speaker 1: You have to have a license to give away bread? 957 00:57:35,400 --> 00:57:39,520 Speaker 3: Yeah, man, if it's if it's a food product. There 958 00:57:39,520 --> 00:57:45,320 Speaker 3: are now crazy regulations and stipulations I might be poisoning people. 959 00:57:45,520 --> 00:57:48,960 Speaker 1: I don't have any kind of like, uh health inspection, 960 00:57:49,400 --> 00:57:51,040 Speaker 1: you know what I mean. So I guess it. I 961 00:57:51,040 --> 00:57:51,959 Speaker 1: guess it makes sense. 962 00:57:52,040 --> 00:57:54,680 Speaker 3: Ben think about doing that right now, just having a 963 00:57:54,720 --> 00:57:57,920 Speaker 3: bag of begets and instead of you know, doing things 964 00:57:57,920 --> 00:58:00,560 Speaker 3: that you know, well known comedians talk about with bags 965 00:58:00,560 --> 00:58:02,880 Speaker 3: of baghetti, you are just taking them around and just 966 00:58:02,920 --> 00:58:05,200 Speaker 3: handing them to people, even if you've got gloves on, 967 00:58:05,240 --> 00:58:09,160 Speaker 3: even if you're masked up. I'm just trying to imagine. 968 00:58:08,720 --> 00:58:11,440 Speaker 1: That I just wanted to walk around with snacks and 969 00:58:11,480 --> 00:58:13,040 Speaker 1: I didn't think about it, you know. 970 00:58:13,400 --> 00:58:16,840 Speaker 5: So it's technically illegal to like give someone your leftover 971 00:58:17,080 --> 00:58:20,760 Speaker 5: food or something like if you have, you know, a 972 00:58:20,800 --> 00:58:24,240 Speaker 5: doggie bag and and the homeless individual asks you for 973 00:58:24,400 --> 00:58:26,880 Speaker 5: money and instead you say, here, take my food. Is 974 00:58:26,920 --> 00:58:28,800 Speaker 5: that Could you get in trouble for doing that? 975 00:58:28,800 --> 00:58:30,800 Speaker 1: That's a good question. I would like to think that 976 00:58:30,960 --> 00:58:34,480 Speaker 1: most people wouldn't stop you from doing that because it's 977 00:58:34,560 --> 00:58:37,760 Speaker 1: just a basic gesture of human kindness. Maybe they would 978 00:58:37,760 --> 00:58:40,880 Speaker 1: stop you if it were if like there were reports 979 00:58:40,920 --> 00:58:44,040 Speaker 1: of someone purposely poisoning people that way. And they were 980 00:58:44,080 --> 00:58:47,840 Speaker 1: on the lookout. But I don't think anybody's gotten stopped. 981 00:58:47,840 --> 00:58:52,400 Speaker 1: You may have been told perhaps don't feed these people, 982 00:58:52,560 --> 00:58:55,920 Speaker 1: or you're not helping them, you're accelerating a problem or something, 983 00:58:55,960 --> 00:58:59,160 Speaker 1: But I don't see someone getting arrested for it, you know. 984 00:58:59,680 --> 00:59:03,840 Speaker 3: Yeah, yeah, arrested seems a little harsh, but maybe fined 985 00:59:04,160 --> 00:59:10,280 Speaker 3: or warned unless you're you're a chronic giver of your food. 986 00:59:10,960 --> 00:59:13,880 Speaker 3: Oh yeah, well, I guess it just depends on where 987 00:59:13,880 --> 00:59:17,560 Speaker 3: you are, Like what city. I bet you it changes city, country, 988 00:59:17,880 --> 00:59:18,800 Speaker 3: local area on that. 989 00:59:19,280 --> 00:59:21,440 Speaker 1: Let us know your stance on that, folks, Let us 990 00:59:21,480 --> 00:59:27,040 Speaker 1: know your stance on whether or not there are GoIF 991 00:59:27,200 --> 00:59:32,080 Speaker 1: give your own food, give out your food laws on 992 00:59:32,160 --> 00:59:34,480 Speaker 1: the books where in your neck of the global woods. 993 00:59:34,960 --> 00:59:39,200 Speaker 1: I do want to say that that statistic we just 994 00:59:39,360 --> 00:59:42,840 Speaker 1: mentioned the idea, like a lot of people listening in 995 00:59:42,920 --> 00:59:46,560 Speaker 1: the US are thinking, did I really throw out eighty 996 00:59:46,720 --> 00:59:52,320 Speaker 1: two pounds of clothing last year? We have to consider Yeah, 997 00:59:52,360 --> 00:59:55,880 Speaker 1: that average sounds crazy because we're talking about an average 998 00:59:55,880 --> 01:00:00,240 Speaker 1: of three hundred and twenty eight something million people, So 999 01:00:00,280 --> 01:00:03,280 Speaker 1: they're probably, you know, like any other average of that size, 1000 01:00:03,360 --> 01:00:05,840 Speaker 1: there's a very small group at the top that is 1001 01:00:06,000 --> 01:00:09,360 Speaker 1: just like, why would you wear the same clothes twice? 1002 01:00:09,600 --> 01:00:09,680 Speaker 3: What? 1003 01:00:09,800 --> 01:00:10,760 Speaker 1: Am I a farmer? 1004 01:00:11,160 --> 01:00:11,360 Speaker 7: You know? 1005 01:00:11,680 --> 01:00:14,960 Speaker 1: People like there are people who live very different lives 1006 01:00:15,080 --> 01:00:17,240 Speaker 1: than most of the other people, and then there are 1007 01:00:17,240 --> 01:00:19,440 Speaker 1: people on the other end of the spectrum who are like, 1008 01:00:19,960 --> 01:00:23,320 Speaker 1: why would I own two shirts? I have one Torso 1009 01:00:23,640 --> 01:00:27,720 Speaker 1: there's a lot of variance between. But what's happening in 1010 01:00:28,080 --> 01:00:31,440 Speaker 1: a way that's affecting everybody in that span everybody who 1011 01:00:31,440 --> 01:00:35,200 Speaker 1: buys clothing, is that just like the Just like when 1012 01:00:35,200 --> 01:00:38,040 Speaker 1: the price of mirrors dropped and they became more affordable, 1013 01:00:38,320 --> 01:00:41,000 Speaker 1: the price of what's regarded as high fashion is dropping. 1014 01:00:41,200 --> 01:00:43,800 Speaker 1: That's a good thing, it would seem for consumers. It 1015 01:00:43,800 --> 01:00:46,960 Speaker 1: means we can buy more stuff, and so we do. 1016 01:00:47,280 --> 01:00:51,280 Speaker 1: In fact, we buy four hundred percent more stuff like 1017 01:00:51,320 --> 01:00:55,520 Speaker 1: this than we did twenty five years ago. And we 1018 01:00:55,600 --> 01:00:59,280 Speaker 1: don't wear it forever, of course, and it doesn't magically 1019 01:00:59,320 --> 01:01:02,560 Speaker 1: disappear just because we can't see it. We're adults, we 1020 01:01:02,640 --> 01:01:06,040 Speaker 1: have object permanence. We know things exist outside of our vision. 1021 01:01:06,560 --> 01:01:08,280 Speaker 1: This stuff all goes somewhere. 1022 01:01:08,520 --> 01:01:13,360 Speaker 3: Yeah, it does. And just remember that dropping price of 1023 01:01:13,400 --> 01:01:16,960 Speaker 3: your fashion has a great effect on your pockets. But 1024 01:01:16,960 --> 01:01:20,080 Speaker 3: it has a terrible effect on the people attempting to 1025 01:01:20,120 --> 01:01:23,760 Speaker 3: manufacture it so quickly in all of those places across 1026 01:01:23,800 --> 01:01:27,280 Speaker 3: the world who are furiously trying to make as many 1027 01:01:28,120 --> 01:01:31,720 Speaker 3: pairs of pants as possible as they can for almost nothing. 1028 01:01:32,640 --> 01:01:37,280 Speaker 1: So then what should consumers do? Should we should we 1029 01:01:37,320 --> 01:01:40,640 Speaker 1: posse up and say we're going to collectively support more 1030 01:01:40,680 --> 01:01:44,000 Speaker 1: sustainable supply chains, even if it's more expensive. Should we 1031 01:01:44,120 --> 01:01:46,600 Speaker 1: lobby our government leaders, as you point out, Matt as 1032 01:01:46,640 --> 01:01:51,280 Speaker 1: an excellent observation, that does result in change, you know? 1033 01:01:51,480 --> 01:01:54,120 Speaker 1: Or should we just non This is tough to say 1034 01:01:54,160 --> 01:01:58,040 Speaker 1: in a capitalist economy. Should we just buy fewer things? 1035 01:01:58,200 --> 01:02:01,720 Speaker 1: Should we just buy less stuff? I don't know. 1036 01:02:03,200 --> 01:02:05,760 Speaker 3: You can't do that. You can't do that. Don't you 1037 01:02:05,800 --> 01:02:10,200 Speaker 3: gotta buy everything? Buy more things. That Amazon Prime account 1038 01:02:10,200 --> 01:02:11,520 Speaker 3: you've got is just sitting there. 1039 01:02:11,400 --> 01:02:17,520 Speaker 1: Waiting America the fire sale. Right, everything must go. Here's 1040 01:02:17,680 --> 01:02:21,000 Speaker 1: here's the fact of the matter. So companies are companies. 1041 01:02:21,040 --> 01:02:25,000 Speaker 1: They're going to follow the most profitable business model. So logically, 1042 01:02:25,400 --> 01:02:27,800 Speaker 1: these problems are a type of stuff. They don't want 1043 01:02:27,840 --> 01:02:32,120 Speaker 1: you to know until solving these problems becomes more profitable 1044 01:02:32,400 --> 01:02:35,320 Speaker 1: than ignoring them. And that's again, that's not to say 1045 01:02:35,320 --> 01:02:40,120 Speaker 1: fashion companies are some kind of league of evil mutants, 1046 01:02:40,520 --> 01:02:43,640 Speaker 1: league of well dressed supervillains or something. It's just that 1047 01:02:44,320 --> 01:02:47,160 Speaker 1: your favorite fashion line is like any other business, They're 1048 01:02:47,160 --> 01:02:50,400 Speaker 1: gonna ultimately follow wherever the bottom line leads. 1049 01:02:50,680 --> 01:02:53,040 Speaker 3: And there really is no easy answer, as we alluded 1050 01:02:53,040 --> 01:02:56,240 Speaker 3: to earlier, when just thinking about something like animal testing. 1051 01:02:56,240 --> 01:02:59,360 Speaker 3: That's one tiny little aspect of this. All of these 1052 01:02:59,440 --> 01:03:03,480 Speaker 3: are our debates, really, and I think that's why important, 1053 01:03:03,480 --> 01:03:06,520 Speaker 3: why it's important for us to talk about them. So 1054 01:03:06,560 --> 01:03:08,360 Speaker 3: we don't want the conversation to end here. We don't 1055 01:03:08,400 --> 01:03:10,520 Speaker 3: want this to just be, you know, something that Ben 1056 01:03:10,560 --> 01:03:13,560 Speaker 3: and Nola and I talk about and you and Paul 1057 01:03:14,080 --> 01:03:17,160 Speaker 3: listen to Mission control. Of course, we want it to 1058 01:03:17,160 --> 01:03:19,480 Speaker 3: be you know, let's come up with some great ideas. 1059 01:03:19,520 --> 01:03:22,640 Speaker 3: Let's talk about this stuff. You can begin the conversation 1060 01:03:22,680 --> 01:03:25,160 Speaker 3: with us, or just amongst you know, a friend, maybe 1061 01:03:25,160 --> 01:03:27,240 Speaker 3: a family member, just talk about some of this stuff. 1062 01:03:27,600 --> 01:03:28,960 Speaker 3: If you want to talk to us, you can reach 1063 01:03:29,040 --> 01:03:32,200 Speaker 3: us on social media on Twitter and Facebook, we are 1064 01:03:32,240 --> 01:03:36,240 Speaker 3: Conspiracy Stuff. On Instagram we are Conspiracy Stuff Show. 1065 01:03:36,640 --> 01:03:40,040 Speaker 1: And if you would like to talk to us in 1066 01:03:40,240 --> 01:03:44,280 Speaker 1: semi person, then please give us a call on our 1067 01:03:44,320 --> 01:03:50,600 Speaker 1: own personal bat phone. It's one eight three three st dwytk. 1068 01:03:51,520 --> 01:03:54,440 Speaker 1: I like that reaverb Mett and you'll have three minutes. 1069 01:03:54,520 --> 01:03:57,440 Speaker 1: Let us know what's on your mind. Anything goes. Just 1070 01:03:57,560 --> 01:04:00,560 Speaker 1: let us know whether you are comfortable with us using 1071 01:04:00,600 --> 01:04:02,560 Speaker 1: your voice, sand or name on the air. 1072 01:04:03,040 --> 01:04:05,880 Speaker 3: And if you don't want to do that stuff, you 1073 01:04:05,920 --> 01:04:10,280 Speaker 3: can head on over to YouTube dot com slash conspiracy stuff. 1074 01:04:10,560 --> 01:04:15,240 Speaker 3: That's where you will find videos, hopefully from this very podcast. 1075 01:04:17,280 --> 01:04:19,440 Speaker 3: We shall see. There's gonna be tons of videos there. 1076 01:04:19,520 --> 01:04:22,640 Speaker 3: It's gonna be mostly us, at least in the near future, 1077 01:04:23,080 --> 01:04:25,520 Speaker 3: talking like this, but with cameras so you can look 1078 01:04:25,560 --> 01:04:28,120 Speaker 3: at us and we can hang out that way. But 1079 01:04:28,280 --> 01:04:30,880 Speaker 3: there are other surprises coming too, so I don't know. 1080 01:04:31,040 --> 01:04:34,200 Speaker 3: Just make sure you subscribe and tell your friends. Okay, subscribe, tell. 1081 01:04:34,040 --> 01:04:38,440 Speaker 5: Your friends, leave a friendly comment in the comments, and 1082 01:04:38,600 --> 01:04:41,720 Speaker 5: take that same attitude and bring it to iTunes and 1083 01:04:41,760 --> 01:04:44,520 Speaker 5: leave us a nice review in the iTunes store. Really 1084 01:04:44,560 --> 01:04:46,600 Speaker 5: great way to help people discover the show and kind 1085 01:04:46,600 --> 01:04:50,760 Speaker 5: of up the profile of it in the magical Apple algorithm. 1086 01:04:50,880 --> 01:04:53,720 Speaker 5: You can also find us online at Here's where it 1087 01:04:53,720 --> 01:04:55,840 Speaker 5: Gets Crazy, our delightful Facebook group. 1088 01:04:56,120 --> 01:04:59,480 Speaker 1: Yeah and you know, yes, we're gonna be honest. We're 1089 01:04:59,480 --> 01:05:01,840 Speaker 1: a little old school. We still call it iTunes. Just 1090 01:05:01,880 --> 01:05:08,160 Speaker 1: call it Apple podcast. I don't know. It's a learning curve. Yeah, 1091 01:05:08,200 --> 01:05:12,880 Speaker 1: but while you're on the internet. If you hate phone calls, 1092 01:05:12,960 --> 01:05:16,040 Speaker 1: we get it. You hate social media, we also clearly 1093 01:05:16,080 --> 01:05:20,000 Speaker 1: get that you can always contact us, regardless of the 1094 01:05:20,000 --> 01:05:23,880 Speaker 1: time of day, regardless of what you're wearing. We want 1095 01:05:23,920 --> 01:05:25,920 Speaker 1: to hear from you. You can hit us up at 1096 01:05:25,960 --> 01:05:28,160 Speaker 1: our good old fashioned email address where. 1097 01:05:27,960 --> 01:05:49,280 Speaker 7: We are conspiracy at iHeartRadio dot com. 1098 01:05:49,480 --> 01:05:51,520 Speaker 3: Stuff they don't want you to know is a production 1099 01:05:51,640 --> 01:05:56,160 Speaker 3: of iHeartRadio. For more podcasts from iHeartRadio, visit the iHeartRadio app, 1100 01:05:56,240 --> 01:05:59,120 Speaker 3: Apple Podcasts, or wherever you listen to your favorite shows.