1 00:00:00,520 --> 00:00:02,640 Speaker 1: Hey everybody, we're back for the new year. We hope 2 00:00:02,680 --> 00:00:04,680 Speaker 1: you had a great holiday. And while we know some 3 00:00:04,760 --> 00:00:06,600 Speaker 1: of you got some Stuff you Should Know live tickets 4 00:00:06,640 --> 00:00:08,479 Speaker 1: in your stocking this year, we know that there are 5 00:00:08,480 --> 00:00:10,239 Speaker 1: still plenty of people out there in Seattle in San 6 00:00:10,240 --> 00:00:12,240 Speaker 1: Francisco who can still get tickets. 7 00:00:12,400 --> 00:00:15,200 Speaker 2: Yeah, our Portland show sold out, so ts for those 8 00:00:15,280 --> 00:00:17,919 Speaker 2: late comers, but you can still go to Seattle or 9 00:00:17,960 --> 00:00:21,120 Speaker 2: San Francisco to see us. On January twenty fourth, we'll 10 00:00:21,160 --> 00:00:23,680 Speaker 2: be at the Paramount Theater in Seattle, And on Friday, 11 00:00:23,720 --> 00:00:26,520 Speaker 2: January twenty sixth, we'll see you guys in San Francisco 12 00:00:26,600 --> 00:00:29,720 Speaker 2: at the Sydney Goldstein Theater for SF Sketch Fest. Go 13 00:00:29,800 --> 00:00:33,280 Speaker 2: to stuffishould Know dot com or link tree slash sysk 14 00:00:33,600 --> 00:00:36,080 Speaker 2: and you'll see all the info you need and links 15 00:00:36,080 --> 00:00:38,040 Speaker 2: to buy tickets. We'll see you guys in a couple 16 00:00:38,040 --> 00:00:38,519 Speaker 2: of weeks. 17 00:00:40,640 --> 00:00:46,880 Speaker 1: Welcome to Stuff you Should Know, a production of iHeartRadio. 18 00:00:50,240 --> 00:00:52,600 Speaker 2: Hey, and welcome to the podcast. I'm Josh, and there's 19 00:00:52,680 --> 00:00:55,480 Speaker 2: Chuck and Jerry's here and we are ready to martinize 20 00:00:55,520 --> 00:00:58,040 Speaker 2: the heck out of you in one hour or less. 21 00:00:58,400 --> 00:01:02,560 Speaker 1: Yeah, you like heavy starch, medium guy. 22 00:01:01,760 --> 00:01:03,960 Speaker 2: You want a double crease in your pant legs. I 23 00:01:03,960 --> 00:01:05,560 Speaker 2: had to look that up. Have you ever heard of 24 00:01:05,600 --> 00:01:06,120 Speaker 2: such a thing? 25 00:01:06,680 --> 00:01:08,760 Speaker 1: Yeah? I got a triple crease? What are you talking about? 26 00:01:08,959 --> 00:01:11,119 Speaker 2: No, for real, have you heard of a double crease before? 27 00:01:11,360 --> 00:01:12,120 Speaker 2: I demand to know. 28 00:01:15,080 --> 00:01:17,919 Speaker 1: I don't think so, because I'm not someone who often 29 00:01:18,160 --> 00:01:19,440 Speaker 1: uses a dry cleaner. 30 00:01:20,480 --> 00:01:23,600 Speaker 2: You and a lot of people these days, pall. Apparently 31 00:01:23,800 --> 00:01:27,160 Speaker 2: the pandemic just crushed dry cleaning because people stopped going 32 00:01:27,200 --> 00:01:29,920 Speaker 2: to the office as much, which means that they stop 33 00:01:30,000 --> 00:01:33,640 Speaker 2: needing clothes that required dry cleaning as much. But even 34 00:01:33,680 --> 00:01:36,880 Speaker 2: before that, people had sorry to work from home a 35 00:01:36,880 --> 00:01:40,520 Speaker 2: little more and the office had gone much more casual 36 00:01:40,560 --> 00:01:43,080 Speaker 2: than before. So dry cleaners have been hurting for a while. 37 00:01:43,680 --> 00:01:46,280 Speaker 1: Yeah, I just I don't have much of a need. 38 00:01:48,600 --> 00:01:51,720 Speaker 1: If there's a particular stain or something that I'm really 39 00:01:51,800 --> 00:01:53,880 Speaker 1: dying to get out of a piece of clothing, what 40 00:01:54,000 --> 00:01:56,880 Speaker 1: is that, I'll take it into a dry cleaner. Uh. 41 00:01:57,720 --> 00:01:59,800 Speaker 1: But I was taught at a very young age how 42 00:01:59,880 --> 00:02:03,320 Speaker 1: to launder and iron clothing, oh neat. But I also 43 00:02:03,360 --> 00:02:06,440 Speaker 1: don't often have to do that because I rarely have 44 00:02:06,520 --> 00:02:10,960 Speaker 1: to wear, like, you know, a pressed dress shirt to 45 00:02:11,080 --> 00:02:11,679 Speaker 1: a thing. 46 00:02:12,320 --> 00:02:14,120 Speaker 2: You don't put a double crease in your jeans? 47 00:02:14,639 --> 00:02:15,680 Speaker 1: What's a double crease? 48 00:02:16,160 --> 00:02:18,680 Speaker 2: So I looked it up. It strikes me as possibly 49 00:02:18,800 --> 00:02:21,320 Speaker 2: kind of like a nineteen forties you know, that woolf 50 00:02:21,360 --> 00:02:25,079 Speaker 2: from the cartoons, kind of zoot suit. Look, okay, maybe 51 00:02:25,160 --> 00:02:27,800 Speaker 2: those would have double creases. The only thing I could find, 52 00:02:27,880 --> 00:02:31,640 Speaker 2: there's a pair of Benetton pants for women that has 53 00:02:31,680 --> 00:02:35,160 Speaker 2: a double crease, and I'm pretty sure I could find 54 00:02:35,200 --> 00:02:38,200 Speaker 2: the second one, not one hundred percent, but I guess 55 00:02:38,280 --> 00:02:41,440 Speaker 2: that's the thing that some people request of the dry cleaners, 56 00:02:42,400 --> 00:02:44,799 Speaker 2: people who ain't quite right. I take it. 57 00:02:45,760 --> 00:02:49,720 Speaker 1: Yeah. My big dry cleaning sort of memory and story 58 00:02:49,840 --> 00:02:50,160 Speaker 1: is that. 59 00:02:51,280 --> 00:02:52,560 Speaker 2: You have a dry cleaning story. 60 00:02:52,800 --> 00:02:54,840 Speaker 1: Well not a story, but I just you know, my 61 00:02:56,200 --> 00:02:58,920 Speaker 1: best friend in high school, Rat who the cartographer, Hello 62 00:02:59,040 --> 00:03:03,920 Speaker 1: rad Ye. His dad Wayne had a closet with like 63 00:03:05,040 --> 00:03:10,280 Speaker 1: twenty five light blue, perfectly dry clean shirts, like twenty 64 00:03:10,280 --> 00:03:13,360 Speaker 1: five pinklins, twenty five white ones. It was like a 65 00:03:13,440 --> 00:03:17,360 Speaker 1: Patrick Bateman esque closet, and I remember just going in 66 00:03:17,400 --> 00:03:19,040 Speaker 1: there in high school and just being. 67 00:03:18,919 --> 00:03:22,480 Speaker 2: Like, wow, were there like leather gloves and a knife 68 00:03:22,480 --> 00:03:23,520 Speaker 2: stashed behind all this? 69 00:03:23,800 --> 00:03:26,800 Speaker 1: No, Wayne was a good guy, but anyway, that's my 70 00:03:26,919 --> 00:03:31,720 Speaker 1: dry cleaning memory from high school. I have a stat 71 00:03:31,720 --> 00:03:36,680 Speaker 1: here that's from twenty seventeen. There were in the United 72 00:03:36,680 --> 00:03:40,080 Speaker 1: States there were twenty six hundred dry cleaners. I've seen 73 00:03:40,080 --> 00:03:43,720 Speaker 1: that as high as thirty thousand now. But one thing 74 00:03:43,760 --> 00:03:46,840 Speaker 1: I wanted to point out is that dry cleaners in 75 00:03:46,880 --> 00:03:51,800 Speaker 1: the United States eighty percent of their employees slash owners 76 00:03:51,960 --> 00:03:56,200 Speaker 1: are ethnic minorities of the United States, and majority of 77 00:03:56,200 --> 00:04:00,440 Speaker 1: which are Korean Americans. And all this just point out 78 00:04:00,480 --> 00:04:02,120 Speaker 1: as we go along, we're going to talk about the 79 00:04:02,280 --> 00:04:05,600 Speaker 1: expense of dry cleaning and changing your whole business because 80 00:04:05,640 --> 00:04:09,560 Speaker 1: of government regulations and the fact that these ethnic minorities 81 00:04:09,600 --> 00:04:11,600 Speaker 1: and small business owners that can be a tough thing. 82 00:04:12,320 --> 00:04:14,840 Speaker 2: Yeah, I mean, there's definitely like a stereotype in the 83 00:04:14,920 --> 00:04:18,880 Speaker 2: United States that dry cleaners are often owned by people 84 00:04:18,960 --> 00:04:22,000 Speaker 2: of Korean descent or straight up Korean immigrants. And apparently 85 00:04:22,000 --> 00:04:25,160 Speaker 2: in the seventies that became a thing. In the same 86 00:04:25,160 --> 00:04:28,839 Speaker 2: way that we talked about Greek immigrants and their children 87 00:04:29,800 --> 00:04:33,080 Speaker 2: running diners in the United States, that's true with Korean 88 00:04:33,240 --> 00:04:37,360 Speaker 2: immigrants and dry cleaners. Apparently a Korean immigrant is thirty 89 00:04:37,400 --> 00:04:40,560 Speaker 2: four times likelier than the immigrant from anywhere else to 90 00:04:40,600 --> 00:04:44,520 Speaker 2: open a dry cleaning store in the United States. And yeah, 91 00:04:44,600 --> 00:04:47,279 Speaker 2: these are very small operations. In a lot of cases, 92 00:04:47,320 --> 00:04:50,520 Speaker 2: they're small businesses. And yeah, we'll see there's a lot 93 00:04:50,560 --> 00:04:54,400 Speaker 2: of financial pressure on them right now that seems potentially 94 00:04:54,400 --> 00:04:55,360 Speaker 2: fairly unfair. 95 00:04:56,000 --> 00:04:58,800 Speaker 1: Yeah, absolutely, and we're going to sort of go through 96 00:04:58,839 --> 00:05:01,760 Speaker 1: the process of dry cleaning. We've got a lot of 97 00:05:01,760 --> 00:05:06,240 Speaker 1: requests for this over the years. Yeah, my experience has been, 98 00:05:07,360 --> 00:05:09,760 Speaker 1: at least around here, most of the dry cleaners are 99 00:05:10,480 --> 00:05:14,080 Speaker 1: storefronts that will take your stuff. There are a lot 100 00:05:14,120 --> 00:05:16,599 Speaker 1: of washers and dryers, like you can do laundry on site, 101 00:05:17,400 --> 00:05:19,600 Speaker 1: but the stuff is sent out. It is not cleaned 102 00:05:19,640 --> 00:05:22,640 Speaker 1: on site. It goes to a separate facility for the 103 00:05:22,720 --> 00:05:27,600 Speaker 1: dry cleaning then comes back is on those amazing racks 104 00:05:27,680 --> 00:05:30,760 Speaker 1: that I just I love those things so much. That's 105 00:05:30,760 --> 00:05:34,440 Speaker 1: spin around, you know, all those close spinning around. 106 00:05:34,640 --> 00:05:36,680 Speaker 2: Can't you just imagine like a ham hanging from each 107 00:05:36,680 --> 00:05:37,560 Speaker 2: one in your kitchen. 108 00:05:38,640 --> 00:05:41,240 Speaker 1: I just for some reason I love it. But apparently 109 00:05:41,279 --> 00:05:44,760 Speaker 1: there are some where they actually do the stuff on site. 110 00:05:45,040 --> 00:05:47,039 Speaker 1: But the first thing we want to talk about is 111 00:05:47,080 --> 00:05:51,320 Speaker 1: the fact that dry cleaning is not dry. It just 112 00:05:51,440 --> 00:05:52,760 Speaker 1: means they don't use water. 113 00:05:53,360 --> 00:05:55,800 Speaker 2: That's a really important point, and I think we'll probably 114 00:05:56,279 --> 00:05:59,360 Speaker 2: restate it multiple times throughout this episode, just to make 115 00:05:59,400 --> 00:06:03,400 Speaker 2: sure we're dry at home, though yes we do, whether 116 00:06:03,440 --> 00:06:05,599 Speaker 2: we need to or not, I insist. 117 00:06:05,440 --> 00:06:08,360 Speaker 1: Let's just camera that simplistic fact home. 118 00:06:08,720 --> 00:06:12,159 Speaker 2: Yeah, it is weird. I think it's just kind of 119 00:06:12,200 --> 00:06:16,240 Speaker 2: a remnant or a relic of the original interpretation of 120 00:06:16,320 --> 00:06:18,720 Speaker 2: dry cleaning, because it did make sense back in the day. 121 00:06:19,279 --> 00:06:22,560 Speaker 2: Today it doesn't hold up. It's not dry at all, 122 00:06:22,760 --> 00:06:26,080 Speaker 2: So everybody, I'm sorry to ruin your illusions. Technically it 123 00:06:26,120 --> 00:06:30,640 Speaker 2: was Chuck who did that, but dry cleaning is fairly old. 124 00:06:30,760 --> 00:06:35,120 Speaker 2: There is a man, a black American named Thomas Jennings, 125 00:06:35,160 --> 00:06:37,640 Speaker 2: who was a tailor in New York City who in 126 00:06:37,680 --> 00:06:41,600 Speaker 2: eighteen twenty one got a patent for a process of 127 00:06:41,720 --> 00:06:45,800 Speaker 2: essentially dry cleaning you call it dry scouring, that you 128 00:06:45,839 --> 00:06:48,760 Speaker 2: could use to remove dirt and grease from clothing without 129 00:06:49,440 --> 00:06:54,039 Speaker 2: harming the fabric, which is pretty groundbreaking, but it's lost 130 00:06:54,040 --> 00:06:57,000 Speaker 2: to history. Apparently there was a fire. I want to 131 00:06:57,000 --> 00:06:59,160 Speaker 2: do at least a short stuff on this, Chuck. There 132 00:06:59,200 --> 00:07:02,840 Speaker 2: was a fire in eighteen thirty six that destroyed ten 133 00:07:03,120 --> 00:07:07,880 Speaker 2: thousand patents basically all the patents from seventeen ninety to 134 00:07:07,920 --> 00:07:12,320 Speaker 2: eighteen thirty six gone in this fire, and that included 135 00:07:12,360 --> 00:07:15,920 Speaker 2: Thomas Jennings patent. So we're not at all sure exactly 136 00:07:15,960 --> 00:07:19,000 Speaker 2: what the deal was, but we know that he was 137 00:07:19,000 --> 00:07:21,480 Speaker 2: the first to come up with probably what would be 138 00:07:21,520 --> 00:07:22,600 Speaker 2: considered dry cleaning. 139 00:07:23,040 --> 00:07:25,640 Speaker 1: Yeah, and Jennings himself could be a great short stuff 140 00:07:26,400 --> 00:07:28,920 Speaker 1: because he is the first African American to receive a 141 00:07:28,960 --> 00:07:32,920 Speaker 1: patent in the United States, and this was forty years 142 00:07:32,920 --> 00:07:37,240 Speaker 1: prior to the Emancipation Proclamation. And what's so remarkable about 143 00:07:37,280 --> 00:07:39,240 Speaker 1: that is is he was born a free man, but 144 00:07:39,280 --> 00:07:42,080 Speaker 1: in the patent application, you have to be a citizen 145 00:07:42,120 --> 00:07:45,679 Speaker 1: of the United States, and they granted him that patent, 146 00:07:45,800 --> 00:07:50,640 Speaker 1: thus recognizing him as a citizen of the United States, 147 00:07:50,680 --> 00:07:53,480 Speaker 1: which was a very big deal at the time. 148 00:07:54,040 --> 00:07:57,760 Speaker 2: He also helped to organize something called the Legal Rights Association. Again, 149 00:07:57,800 --> 00:08:02,080 Speaker 2: this is the eighteen twenty eighteen thirties, and that group 150 00:08:02,320 --> 00:08:06,720 Speaker 2: would challenge people in court with vile lawsuits against acts 151 00:08:06,720 --> 00:08:10,480 Speaker 2: of discrimination in the eighteen thirties. So that, yeah, he 152 00:08:10,520 --> 00:08:13,800 Speaker 2: definitely does deserve his own episode. It sounds like two yeah, 153 00:08:14,040 --> 00:08:19,880 Speaker 2: follow up, Okay, a couple of decades later, over in France, 154 00:08:19,960 --> 00:08:24,360 Speaker 2: there is a man named Jean Baptiste Jolie spelled like jolly. 155 00:08:24,440 --> 00:08:27,960 Speaker 2: It's a great name, all three names together with that 156 00:08:28,080 --> 00:08:31,720 Speaker 2: nice round Baptiste in the middle. He was he made die. 157 00:08:31,920 --> 00:08:36,120 Speaker 2: He was a dier, a dier maker, and he had 158 00:08:36,120 --> 00:08:40,600 Speaker 2: a tablecloth that was had an oil lamp knocked over 159 00:08:40,679 --> 00:08:43,199 Speaker 2: on it. Luckily it was probably not lit at the time, 160 00:08:43,280 --> 00:08:45,520 Speaker 2: or else this would have been a totally different story. 161 00:08:45,640 --> 00:08:45,960 Speaker 1: But the. 162 00:08:47,440 --> 00:08:52,720 Speaker 2: Flammable liquid inside probably camphene, which is kind of like 163 00:08:53,520 --> 00:08:56,160 Speaker 2: it's derived from the same stuff as that turpentine is 164 00:08:56,160 --> 00:09:00,000 Speaker 2: made from it. He found that where it had spilled 165 00:09:00,640 --> 00:09:04,199 Speaker 2: kind of like cleaned his tablecloth, and he said, you 166 00:09:04,280 --> 00:09:06,480 Speaker 2: know what, I think I might be onto something here. 167 00:09:06,720 --> 00:09:10,240 Speaker 1: Yeah, because that is we sort of buried the lead. 168 00:09:10,679 --> 00:09:14,560 Speaker 1: It's not dry cleaning, because there is liquid. But what 169 00:09:14,600 --> 00:09:17,560 Speaker 1: the liquids are and always have been, is some kind 170 00:09:17,600 --> 00:09:22,080 Speaker 1: of solvent to clean your clothes. Early solvents were very 171 00:09:22,440 --> 00:09:27,880 Speaker 1: dangerous and flammable. Sometimes it was kerosene, sometimes it was gasoline. Yeah, 172 00:09:28,240 --> 00:09:31,679 Speaker 1: I remember, I think it was. Was it the Viscilla 173 00:09:31,800 --> 00:09:36,920 Speaker 1: Axe murder episode where the rugs were super flammable because 174 00:09:36,960 --> 00:09:38,200 Speaker 1: they had been cleaned with gas. 175 00:09:38,720 --> 00:09:39,600 Speaker 2: I don't remember that. 176 00:09:40,440 --> 00:09:42,000 Speaker 1: I think that was it because I know at some 177 00:09:42,040 --> 00:09:44,640 Speaker 1: point we talked about the fact that gasoline was used 178 00:09:44,640 --> 00:09:47,480 Speaker 1: to clean stuff, and that's why one of these houses 179 00:09:47,720 --> 00:09:49,080 Speaker 1: like went up and flamed so quickly. 180 00:09:49,360 --> 00:09:52,200 Speaker 2: It might have been the hinter Kfek murders. 181 00:09:52,440 --> 00:09:53,480 Speaker 1: Oh was that a fire? 182 00:09:54,720 --> 00:09:56,760 Speaker 2: Oh no, I'll bet it was the Solder children, the 183 00:09:56,800 --> 00:09:59,960 Speaker 2: missing Solder children. There was a fire central to that one. 184 00:10:00,320 --> 00:10:02,320 Speaker 1: Okay, that may have been it, but I know we 185 00:10:02,320 --> 00:10:04,120 Speaker 1: talked about it. At some point. They used, you know, 186 00:10:04,200 --> 00:10:09,120 Speaker 1: like we said, kerosene, gasoline, turpentine, the resin of which 187 00:10:09,160 --> 00:10:12,559 Speaker 1: is terpene. And that is why when you go camping 188 00:10:12,720 --> 00:10:15,120 Speaker 1: you look for what's called like a lighter's not or 189 00:10:15,160 --> 00:10:19,720 Speaker 1: fat lighter, and that is the very resinous interior of 190 00:10:19,760 --> 00:10:22,480 Speaker 1: a pine tree, which is superflammable and that really helps 191 00:10:22,760 --> 00:10:25,720 Speaker 1: get a fire started. But all this to say is 192 00:10:25,720 --> 00:10:29,920 Speaker 1: that stuff was pretty dangerous to use as a close cleaner. 193 00:10:30,480 --> 00:10:34,320 Speaker 2: Yeah, so much so that like dry cleaners would explode 194 00:10:34,320 --> 00:10:38,200 Speaker 2: from time to time, so that dry cleaning facility that 195 00:10:38,240 --> 00:10:42,720 Speaker 2: the storefronts would send their clothes to would be located 196 00:10:42,800 --> 00:10:44,800 Speaker 2: on the outskirts of town because it was a very 197 00:10:44,880 --> 00:10:49,080 Speaker 2: very dangerous place, and after they started to move away 198 00:10:49,080 --> 00:10:54,959 Speaker 2: from more flammable solvents, they replaced them with synthetic compounds, 199 00:10:55,400 --> 00:11:02,760 Speaker 2: specifically carbon tetrachloride and trichloroethylene, which worked ish. I think 200 00:11:02,840 --> 00:11:05,600 Speaker 2: the reason that people were kind of bullish on them 201 00:11:05,679 --> 00:11:08,400 Speaker 2: is because they didn't blow up, But there were a 202 00:11:08,480 --> 00:11:11,640 Speaker 2: lot of other problems with them, like just as an industry, 203 00:11:11,720 --> 00:11:16,840 Speaker 2: the carbon tetrachloride corroded your machinery, the trichloroethylene was really 204 00:11:16,840 --> 00:11:19,079 Speaker 2: harsh on your clothes, and both of them would give 205 00:11:19,080 --> 00:11:22,000 Speaker 2: you cancer and disrupt your neurological system too. 206 00:11:22,520 --> 00:11:25,679 Speaker 1: Yeah, for sure. Before they try these, they tried a 207 00:11:25,760 --> 00:11:30,240 Speaker 1: kind of mineral spirit called Stoddard solvent, which I think 208 00:11:30,280 --> 00:11:33,040 Speaker 1: that may have been flammable too. Yeah, But where they 209 00:11:33,120 --> 00:11:39,520 Speaker 1: eventually landed is on something called perchloroethylene or PERK as 210 00:11:39,600 --> 00:11:41,560 Speaker 1: we're going to call it as everybody calls it. 211 00:11:41,640 --> 00:11:42,520 Speaker 2: Is it perchloro? 212 00:11:43,800 --> 00:11:47,960 Speaker 1: Yeah, it sure is p e erc And that became 213 00:11:48,040 --> 00:11:51,760 Speaker 1: sort of the go to for a long long time. 214 00:11:51,760 --> 00:11:54,000 Speaker 1: It still is the go to percentage wise, and we'll 215 00:11:54,000 --> 00:11:56,680 Speaker 1: get to all that later, but it was much safer 216 00:11:57,160 --> 00:12:00,920 Speaker 1: to use. It did a better job of cleaning. The 217 00:12:01,120 --> 00:12:05,840 Speaker 1: equipment was smaller. It was kind of better in every 218 00:12:05,840 --> 00:12:09,520 Speaker 1: way as far as those previous alternatives. Yeah, that as 219 00:12:09,559 --> 00:12:11,600 Speaker 1: we'll see, it ate so great. 220 00:12:11,920 --> 00:12:15,880 Speaker 2: One other thing that was so alluring about it is 221 00:12:16,200 --> 00:12:19,280 Speaker 2: those dry cleaning facilities could come back into town now 222 00:12:19,840 --> 00:12:22,840 Speaker 2: and your little storefront could actually be the dry cleaning 223 00:12:22,880 --> 00:12:27,720 Speaker 2: facility because it required such less floor space. And this 224 00:12:27,880 --> 00:12:30,760 Speaker 2: solvent was just like a miracle, like you could get 225 00:12:30,800 --> 00:12:34,199 Speaker 2: people's clothes done in an hour. And actually it was 226 00:12:34,280 --> 00:12:37,360 Speaker 2: the guy who started one hour Martinizing, who was a chemist, 227 00:12:37,600 --> 00:12:40,040 Speaker 2: who was the one who went back and was studying 228 00:12:40,280 --> 00:12:43,600 Speaker 2: pair chlora ethylene as a potential solvent and brought it 229 00:12:43,640 --> 00:12:47,720 Speaker 2: into the dry cleaning industry and started one hour martinizing shops. 230 00:12:47,720 --> 00:12:49,120 Speaker 2: And the reason they could do it in an hour 231 00:12:49,280 --> 00:12:51,760 Speaker 2: if you paid them enough was because they had the 232 00:12:51,840 --> 00:12:53,360 Speaker 2: facilities on site. 233 00:12:53,720 --> 00:12:58,160 Speaker 1: Yeah. And his name was Gabby Johnson. I don't think so, No, 234 00:12:58,440 --> 00:12:59,400 Speaker 1: was it something Martin? 235 00:12:59,760 --> 00:13:02,560 Speaker 2: Yeah, yes, Okay, I can't remember his first name, but 236 00:13:02,600 --> 00:13:04,360 Speaker 2: his last name is definitely Martin. 237 00:13:04,480 --> 00:13:07,319 Speaker 1: Because johnsonizing just sounds dirty. 238 00:13:07,600 --> 00:13:08,520 Speaker 2: It really does. 239 00:13:09,760 --> 00:13:11,199 Speaker 1: Let me go out and Johnson eyes. 240 00:13:11,440 --> 00:13:16,960 Speaker 2: It really does. Yeah, I'm like, I'm blessing right now. 241 00:13:17,320 --> 00:13:19,080 Speaker 1: So, like I said, we're going to talk more about 242 00:13:19,080 --> 00:13:21,480 Speaker 1: the sort of the downsides of perk. But even at 243 00:13:21,480 --> 00:13:23,080 Speaker 1: the time when they were like, Hey, this is so 244 00:13:23,160 --> 00:13:27,040 Speaker 1: much better and safer, you're like, but geez, working in 245 00:13:27,040 --> 00:13:30,199 Speaker 1: this thing all days, Like I'm like, my breathing is 246 00:13:30,240 --> 00:13:33,120 Speaker 1: a little weird and my eyes are irritated and I 247 00:13:33,200 --> 00:13:34,920 Speaker 1: get a little bit dizzy and stuff like that. 248 00:13:35,040 --> 00:13:36,480 Speaker 2: Does anyone else see the elves? 249 00:13:36,800 --> 00:13:41,080 Speaker 1: Yeah, everyone's like, yeah, but it's not flammable. It's not 250 00:13:41,240 --> 00:13:43,319 Speaker 1: turpentine or kerosene, so it's better. 251 00:13:43,840 --> 00:13:47,120 Speaker 2: Yeah, some of these things. I think per chloroethylene is 252 00:13:47,160 --> 00:13:51,720 Speaker 2: actually related in some way to chloroform. So these early workers, 253 00:13:51,840 --> 00:13:54,320 Speaker 2: especially before we had any kind of handle on just 254 00:13:54,360 --> 00:13:59,160 Speaker 2: how bad perk actually is for you, we're handling this 255 00:13:59,360 --> 00:14:02,480 Speaker 2: really tough stuff. And we'll definitely talk a lot more 256 00:14:02,480 --> 00:14:08,000 Speaker 2: about perk later on. But the uh, well, should we 257 00:14:08,040 --> 00:14:09,840 Speaker 2: take a break and then talk about what happens when 258 00:14:09,880 --> 00:14:13,160 Speaker 2: you drop your clothes off at a dry cleaning place? 259 00:14:13,480 --> 00:14:16,240 Speaker 2: I think, so, okay, well, everybody, we're gonna take a 260 00:14:16,320 --> 00:14:18,360 Speaker 2: break and then come back and talk about what happens 261 00:14:18,360 --> 00:14:21,200 Speaker 2: when you drop your clothes off at a dry cleaning place. 262 00:14:59,600 --> 00:15:02,840 Speaker 1: Get I say something. Yeah, before the break, you sounded 263 00:15:02,880 --> 00:15:04,920 Speaker 1: like John Wilson. 264 00:15:06,280 --> 00:15:08,120 Speaker 2: Is that the guy who started one hour martinizing? 265 00:15:08,600 --> 00:15:11,720 Speaker 1: No, have you seen John Wilson's TV show How To 266 00:15:11,840 --> 00:15:12,600 Speaker 1: with John Wilson? 267 00:15:15,040 --> 00:15:15,960 Speaker 2: I can't say that I have. 268 00:15:16,600 --> 00:15:20,000 Speaker 1: It's great. I had a three season run and it's fantastic. 269 00:15:20,080 --> 00:15:23,640 Speaker 2: Does he have a glasses and kind of sandy blonde hair? 270 00:15:24,360 --> 00:15:27,400 Speaker 1: He has glasses, but he's never seen on screen. 271 00:15:27,160 --> 00:15:29,040 Speaker 2: So, oh no, I'm not sure who that is. 272 00:15:29,080 --> 00:15:33,200 Speaker 1: Then, yeah, her the show, but he also sort of 273 00:15:33,600 --> 00:15:36,600 Speaker 1: talks like this as a narrator. 274 00:15:37,280 --> 00:15:39,240 Speaker 2: Oh okay, yeah, he sounds like my kind of guy. 275 00:15:39,400 --> 00:15:41,160 Speaker 1: It's very fun, it's a great It's one of my 276 00:15:41,160 --> 00:15:44,480 Speaker 1: favorite shows, so highly recommended. But this is not about 277 00:15:44,520 --> 00:15:46,720 Speaker 1: John Wilson. This is about although he may do a 278 00:15:46,760 --> 00:15:49,400 Speaker 1: show called how to Get Your Clothes Clean, this kind 279 00:15:49,400 --> 00:15:52,080 Speaker 1: of thing he does, but when you drop your stuff 280 00:15:52,080 --> 00:15:54,440 Speaker 1: off at a dry cleaner, and we'll kind of whiz 281 00:15:54,440 --> 00:15:57,720 Speaker 1: bang through this first part because it's it's certainly not 282 00:15:58,000 --> 00:16:02,920 Speaker 1: super interesting, but they're gonna inspect your clothes. One reason 283 00:16:02,920 --> 00:16:04,560 Speaker 1: and they're going to do that is to see like 284 00:16:04,640 --> 00:16:08,280 Speaker 1: where the lasagna stain is or if it's not stained. 285 00:16:08,280 --> 00:16:11,480 Speaker 1: If it's just a regular old Hey, I'm Wayne Smith 286 00:16:11,480 --> 00:16:15,200 Speaker 1: and I want to get all my shirts perfect, they 287 00:16:15,280 --> 00:16:17,080 Speaker 1: are going to go over it so they can cover 288 00:16:17,160 --> 00:16:20,360 Speaker 1: their own butt. As far as when people come back 289 00:16:20,360 --> 00:16:23,800 Speaker 1: and say, hey, the button's missing, they can say, sorry, 290 00:16:23,840 --> 00:16:27,120 Speaker 1: sir or ma'am, your button was missing when it came 291 00:16:27,120 --> 00:16:29,360 Speaker 1: in here, because we wrote it down and showed you. 292 00:16:30,160 --> 00:16:32,280 Speaker 2: Yeah, peep the sticker chump. 293 00:16:33,040 --> 00:16:33,280 Speaker 1: Yeah. 294 00:16:33,280 --> 00:16:35,720 Speaker 2: This is kind of what they're famous for saying. If 295 00:16:35,720 --> 00:16:38,680 Speaker 2: they do find some stain that they're like, oh, I 296 00:16:38,680 --> 00:16:41,480 Speaker 2: don't know about this one. It could be tough. As 297 00:16:41,520 --> 00:16:44,680 Speaker 2: we'll see, the different types of stain require different types 298 00:16:44,720 --> 00:16:49,400 Speaker 2: of treatments. They'll pre treat it, and then the dry 299 00:16:49,480 --> 00:16:52,040 Speaker 2: cleaning takes place, and this is where the magic happens. 300 00:16:52,240 --> 00:16:56,280 Speaker 2: I really feel like this is some good stuff here. 301 00:16:56,800 --> 00:17:00,880 Speaker 1: That's right. So here's what happens. We repeat the fact 302 00:17:00,880 --> 00:17:03,920 Speaker 1: that it just means no water, your clothes are still 303 00:17:04,040 --> 00:17:04,600 Speaker 1: getting wet. 304 00:17:04,840 --> 00:17:06,359 Speaker 2: Yeah, say it again? 305 00:17:07,680 --> 00:17:09,520 Speaker 1: Well I just did. Can't we say it another time? 306 00:17:09,840 --> 00:17:10,199 Speaker 2: Sure? 307 00:17:10,359 --> 00:17:13,560 Speaker 1: All right, no water, that's all dry cleaning means. 308 00:17:14,200 --> 00:17:17,440 Speaker 2: Yeah, it gets wet. Your clothes gets super duper wet, 309 00:17:17,600 --> 00:17:21,320 Speaker 2: soaked even but not in water instead in an industrial 310 00:17:21,400 --> 00:17:24,639 Speaker 2: synthetic solvent perk, the perk that we've talked about. 311 00:17:25,200 --> 00:17:29,919 Speaker 1: Yeah, and they do this in huge machines. And you know, 312 00:17:30,080 --> 00:17:33,280 Speaker 1: these cleaning machines are not that different from just sort 313 00:17:33,280 --> 00:17:38,360 Speaker 1: of your garden variety industrial wet laundry machine as far 314 00:17:38,400 --> 00:17:39,119 Speaker 1: as I can tell. 315 00:17:39,920 --> 00:17:43,840 Speaker 2: Yeah, but there what's called dry to dry machines, meaning 316 00:17:43,880 --> 00:17:46,960 Speaker 2: that the washer and the dryer are housed in the 317 00:17:47,040 --> 00:17:49,439 Speaker 2: same machine. It's the same drum you put the clothes in. 318 00:17:49,480 --> 00:17:51,840 Speaker 2: Once they get washed, they get dried in the same 319 00:17:51,880 --> 00:17:54,159 Speaker 2: little drum, and then you pull them out. 320 00:17:54,359 --> 00:17:57,919 Speaker 1: Yeah, it happens. The cycles are much faster, and you know, 321 00:17:57,960 --> 00:18:00,400 Speaker 1: there's all kinds of things that we'll talk talk about 322 00:18:00,400 --> 00:18:03,640 Speaker 1: that make it different. But if you put it in there, 323 00:18:03,720 --> 00:18:07,160 Speaker 1: it's still got a drum that's gonna spin and jostle 324 00:18:07,320 --> 00:18:11,280 Speaker 1: your clothes around twenty two one hundred pounds depending on 325 00:18:11,320 --> 00:18:14,280 Speaker 1: how big the machine is. It is a stainless steel 326 00:18:14,280 --> 00:18:18,560 Speaker 1: basket that's perforated for drainage and stuff like that. It's there. 327 00:18:18,720 --> 00:18:23,480 Speaker 1: They're super robust because perk is about seventy percent sixty 328 00:18:23,520 --> 00:18:26,280 Speaker 1: nine percent in fact, heavier than water is. Yeah, so 329 00:18:26,840 --> 00:18:31,000 Speaker 1: it's this stuff's heavy. It's all just super juiced up motors, 330 00:18:31,040 --> 00:18:32,040 Speaker 1: heavy duty equipment. 331 00:18:32,600 --> 00:18:35,160 Speaker 2: Yeah, and I mean they shoot a lot of perk 332 00:18:35,200 --> 00:18:38,719 Speaker 2: at this stuff. I think on the order of like 333 00:18:39,200 --> 00:18:42,320 Speaker 2: twenty five gallons an hour. They really johnsonize the clothes withever. 334 00:18:45,240 --> 00:18:46,960 Speaker 2: But what's cool you said that there's a lot of 335 00:18:47,040 --> 00:18:50,919 Speaker 2: differences between these these industrial dry cleaning machines and like 336 00:18:50,960 --> 00:18:55,480 Speaker 2: say an industrial washer dryer, And the key difference is 337 00:18:55,520 --> 00:18:58,600 Speaker 2: that that perk, the solvent that you use as the 338 00:19:00,040 --> 00:19:06,120 Speaker 2: cleaning agent, it's recovered to the greatest extent possible. We've 339 00:19:06,160 --> 00:19:09,439 Speaker 2: reached what are called fifth generation machines. First generation machine 340 00:19:09,480 --> 00:19:11,439 Speaker 2: was a washer, and then over here was a dryer. 341 00:19:11,760 --> 00:19:14,439 Speaker 2: And when you were dry cleaning something you moved it 342 00:19:14,440 --> 00:19:17,240 Speaker 2: from the washer to the dryer, you got perk everywhere. 343 00:19:17,280 --> 00:19:18,760 Speaker 2: You got it all over yourself, you got it all 344 00:19:18,800 --> 00:19:20,840 Speaker 2: over the floor, and you wasted a lot of it. 345 00:19:21,640 --> 00:19:24,119 Speaker 2: And some of the older machines you would have to 346 00:19:24,160 --> 00:19:27,159 Speaker 2: refill the perk that was used and recovered in this 347 00:19:27,280 --> 00:19:30,040 Speaker 2: machine every couple of months. Now it's on the order 348 00:19:30,040 --> 00:19:33,199 Speaker 2: of every couple of years. That's amazing, Yeah, because this 349 00:19:33,320 --> 00:19:36,080 Speaker 2: perk doesn't really break down very much and it stays 350 00:19:36,760 --> 00:19:39,119 Speaker 2: a viable solvent for years and years and years if 351 00:19:39,160 --> 00:19:41,240 Speaker 2: you keep it in this closed system. 352 00:19:41,480 --> 00:19:44,160 Speaker 1: Yeah, and it separates from water as well, right. 353 00:19:44,480 --> 00:19:47,960 Speaker 2: Yes, because it's again it's seventy percent heavier in the water. 354 00:19:48,080 --> 00:19:50,360 Speaker 2: Water floats on top of it, and most of these 355 00:19:50,359 --> 00:19:52,879 Speaker 2: machines feature a little mouse that comes along with a 356 00:19:53,000 --> 00:19:56,199 Speaker 2: tiny little snow shovel who's very happy to move the 357 00:19:56,240 --> 00:19:59,040 Speaker 2: water out of the way with its snow shovel and 358 00:19:59,400 --> 00:20:00,240 Speaker 2: water skis. 359 00:20:00,040 --> 00:20:06,040 Speaker 1: Yep, that's right. There are also things like carbon absorbers. 360 00:20:06,640 --> 00:20:10,160 Speaker 1: There are inductive fans. They have these sensors that will 361 00:20:10,880 --> 00:20:14,840 Speaker 1: lock everything if there is like if the perk level 362 00:20:14,880 --> 00:20:17,239 Speaker 1: is too high, you can't even open it. So they 363 00:20:17,280 --> 00:20:20,480 Speaker 1: got to get as much of that perk out of 364 00:20:20,480 --> 00:20:23,840 Speaker 1: that thing before you open the door, which has made 365 00:20:23,880 --> 00:20:28,080 Speaker 1: things much much safer. But again, perk has some dirty 366 00:20:28,119 --> 00:20:30,960 Speaker 1: secrets that we're going to reveal later on. Yeah, but 367 00:20:31,200 --> 00:20:34,920 Speaker 1: this thing is, you know, you're looking to get clean 368 00:20:35,040 --> 00:20:39,320 Speaker 1: solvent by pumping out that perk through a filtration system. 369 00:20:39,760 --> 00:20:41,880 Speaker 1: And even though, like you said, there's spraying a ton 370 00:20:41,920 --> 00:20:42,560 Speaker 1: of that stuff in. 371 00:20:42,520 --> 00:20:46,800 Speaker 2: There, Yeah, usually about twenty five gallons a minute, So 372 00:20:47,000 --> 00:20:49,600 Speaker 2: like I think there'll be two hundred gallons over like 373 00:20:49,600 --> 00:20:52,320 Speaker 2: an eight minute cycle pumped in and there's not two 374 00:20:52,359 --> 00:20:54,280 Speaker 2: hundred gallons of perk in there at any one time. 375 00:20:54,400 --> 00:20:57,440 Speaker 2: Is new perk is coming in. The old perk that's 376 00:20:57,480 --> 00:20:59,920 Speaker 2: gone through the clothes already and is clinging to dirt 377 00:21:00,359 --> 00:21:03,600 Speaker 2: is filtered out right. So this is like this constant 378 00:21:03,640 --> 00:21:07,120 Speaker 2: process of perk, old perk, new perk coming in, old 379 00:21:07,119 --> 00:21:09,600 Speaker 2: perk going out through these filters and everything. And then 380 00:21:09,880 --> 00:21:13,120 Speaker 2: when the cycle's done and all the perk spun out 381 00:21:13,119 --> 00:21:16,359 Speaker 2: and it's been removed from the basket, they heat the 382 00:21:16,400 --> 00:21:20,879 Speaker 2: basket to vaporize the remaining perk, and then that also 383 00:21:20,960 --> 00:21:24,080 Speaker 2: gets captured because they run that through condenser coils to 384 00:21:24,160 --> 00:21:26,080 Speaker 2: turn it back into liquid and put it back in 385 00:21:26,119 --> 00:21:30,960 Speaker 2: the filtered perk reservoir. It's a pretty astounding machine that 386 00:21:30,960 --> 00:21:34,200 Speaker 2: the dry cleaners use for this stuff. But it's really 387 00:21:34,480 --> 00:21:37,000 Speaker 2: it's just impressive like this, the leaps and bounds that 388 00:21:37,040 --> 00:21:40,760 Speaker 2: they've gone through to figure out how to maximize the 389 00:21:42,480 --> 00:21:46,000 Speaker 2: lifetime of a perk molecule and minimize the chance that 390 00:21:46,040 --> 00:21:46,879 Speaker 2: it will be lost. 391 00:21:47,240 --> 00:21:50,760 Speaker 1: Yeah, for sure. Something I've done a lot of the 392 00:21:50,760 --> 00:21:54,600 Speaker 1: past two days is watch dry cleaning videos. 393 00:21:54,119 --> 00:21:55,760 Speaker 2: Oh, tell me you saw the one. 394 00:21:56,440 --> 00:21:57,680 Speaker 1: Well, I don't know what was the one. 395 00:21:58,080 --> 00:22:01,160 Speaker 2: It's called what is dry cleaning? Does dry cleaning work? 396 00:22:01,200 --> 00:22:03,080 Speaker 2: On YouTube? Did you see that one? No? 397 00:22:03,720 --> 00:22:08,880 Speaker 1: I watched a lot of similar ones. I love processes 398 00:22:08,960 --> 00:22:12,200 Speaker 1: like this so I can watch things like this and 399 00:22:12,400 --> 00:22:16,320 Speaker 1: stay riveted. I thought it was genuinely interesting. And one 400 00:22:16,320 --> 00:22:20,320 Speaker 1: thing this article points out is that quality control can 401 00:22:20,720 --> 00:22:22,880 Speaker 1: you know, like how your clothes come out in the end. Basically, 402 00:22:23,640 --> 00:22:25,639 Speaker 1: it's not just like, you know, they got the machine, 403 00:22:25,680 --> 00:22:28,920 Speaker 1: so that's what it does. It's human beings that are 404 00:22:29,080 --> 00:22:33,200 Speaker 1: overseeing this stuff and making sure that everything comes out 405 00:22:33,240 --> 00:22:36,960 Speaker 1: exactly right if they are, you know, if they're doing 406 00:22:37,000 --> 00:22:38,840 Speaker 1: it the right way. And I saw a lot of 407 00:22:38,960 --> 00:22:42,000 Speaker 1: videos where they were owners and operators talked about how 408 00:22:42,480 --> 00:22:46,360 Speaker 1: important it was to have humans inspecting each and everything 409 00:22:46,400 --> 00:22:49,360 Speaker 1: that comes out, yeah, and making sure it like passes 410 00:22:49,440 --> 00:22:51,280 Speaker 1: their their rigorous standards. 411 00:22:51,760 --> 00:22:54,560 Speaker 2: Yeah, because if you don't keep your filters clean, I'm 412 00:22:54,600 --> 00:22:58,640 Speaker 2: guessing like after every cycle, essentially that perk's not going 413 00:22:58,640 --> 00:23:00,720 Speaker 2: to get filtered as much, so you're going to be 414 00:23:00,800 --> 00:23:03,240 Speaker 2: using dirty perk solvent and that has a really terrible 415 00:23:03,240 --> 00:23:06,600 Speaker 2: effect on clothes. It can make close dingy, right, it 416 00:23:06,640 --> 00:23:11,280 Speaker 2: can make close dingy over time. Perk interacts with colors, 417 00:23:11,280 --> 00:23:14,119 Speaker 2: so it can actually strip the dye from some colors 418 00:23:14,160 --> 00:23:17,160 Speaker 2: and then bring it into other colors in the next load. 419 00:23:17,760 --> 00:23:19,320 Speaker 2: If you have a good dry cleaner, they're going to 420 00:23:19,359 --> 00:23:21,800 Speaker 2: clean their filters frequently, and if you keep up with that, 421 00:23:22,000 --> 00:23:24,480 Speaker 2: then yeah, the quality is going to be through the 422 00:23:24,560 --> 00:23:25,679 Speaker 2: roof essentially. 423 00:23:26,440 --> 00:23:30,359 Speaker 1: Absolutely, So if hopefully your quality control is through the 424 00:23:30,400 --> 00:23:33,320 Speaker 1: roof at your local dry cleaner, they're going to take 425 00:23:33,359 --> 00:23:37,760 Speaker 1: that garment out, inspect it and then say, sometimes, well, 426 00:23:37,800 --> 00:23:40,359 Speaker 1: you know what, the machine and the perk did not 427 00:23:40,440 --> 00:23:42,760 Speaker 1: get all the stain out, but I think I can 428 00:23:42,800 --> 00:23:46,239 Speaker 1: do this as with my own two hands. And so 429 00:23:46,400 --> 00:23:49,840 Speaker 1: this is called post cleaning spot removal, and that is 430 00:23:49,960 --> 00:23:56,199 Speaker 1: just extra post cleaning processes that is done by a 431 00:23:56,200 --> 00:23:58,200 Speaker 1: person to make sure that stain gets out. 432 00:23:58,720 --> 00:24:02,800 Speaker 2: Yes, because dray cleaning facility, they have a whole array 433 00:24:03,000 --> 00:24:07,320 Speaker 2: of solvents that are specifically four different types of stains 434 00:24:07,920 --> 00:24:12,480 Speaker 2: and apparently you can divide two stains into two general camps. 435 00:24:12,520 --> 00:24:17,240 Speaker 2: You've got wet type stains which are wet in nature 436 00:24:17,480 --> 00:24:22,399 Speaker 2: like tea, wine something like that. You have dry side stains, 437 00:24:22,400 --> 00:24:25,679 Speaker 2: which are typically grease or oil based rather than water based, 438 00:24:26,359 --> 00:24:29,240 Speaker 2: and depending on those, you need either a solvent for 439 00:24:29,320 --> 00:24:31,800 Speaker 2: the dry type stains or some sort of water solution, 440 00:24:31,960 --> 00:24:35,199 Speaker 2: usually with enzymes like shout or something like that for 441 00:24:35,400 --> 00:24:38,800 Speaker 2: the wet type stains. And depending on that type of stain, 442 00:24:40,000 --> 00:24:42,240 Speaker 2: they'll use a specific kind of solvent in the post 443 00:24:42,280 --> 00:24:45,639 Speaker 2: spotting or the pre spotting. But that's why it's really important. 444 00:24:45,720 --> 00:24:48,120 Speaker 2: If you take your clothes to the dry cleaner, don't 445 00:24:48,160 --> 00:24:49,800 Speaker 2: just throw the shirt at them and be like, peace. 446 00:24:49,800 --> 00:24:53,440 Speaker 2: I'll see at five, Like, say, there's this tea stain 447 00:24:53,520 --> 00:24:55,879 Speaker 2: right here that I just find too stubborn to even 448 00:24:56,160 --> 00:24:58,600 Speaker 2: begin with. I can't even bother with it. But can 449 00:24:58,640 --> 00:25:00,680 Speaker 2: you please get this tea stain out? They'll say, yes, 450 00:25:00,800 --> 00:25:03,000 Speaker 2: you know, that's a wet side stain. You'll say, I 451 00:25:03,000 --> 00:25:04,960 Speaker 2: don't care, just get the stain out, and then you 452 00:25:05,040 --> 00:25:06,800 Speaker 2: leave and say peace. I'll see you at five. But 453 00:25:06,880 --> 00:25:10,240 Speaker 2: at least you've told them very rudely. You've told them 454 00:25:10,240 --> 00:25:13,000 Speaker 2: about that stain, and they'll treat it accordingly. 455 00:25:13,640 --> 00:25:16,639 Speaker 1: Yeah, as far as you yourself pre treating a stain, 456 00:25:18,240 --> 00:25:20,119 Speaker 1: you know, if you ask your dry cleaner, they're probably 457 00:25:20,119 --> 00:25:23,040 Speaker 1: gonna say that could make it worse. Don't bother, or 458 00:25:23,080 --> 00:25:27,760 Speaker 1: it doesn't do anything, don't bother. I mean, there are 459 00:25:27,840 --> 00:25:32,199 Speaker 1: various sort of home recipes that you will find on 460 00:25:32,240 --> 00:25:34,280 Speaker 1: the internet if you've spilled things like wine. 461 00:25:34,320 --> 00:25:35,480 Speaker 2: There's a lot out there. 462 00:25:35,520 --> 00:25:38,200 Speaker 1: There's a lot of them. So I don't know. I'm 463 00:25:38,200 --> 00:25:40,280 Speaker 1: not gonna give advice either way on that because I 464 00:25:40,280 --> 00:25:43,920 Speaker 1: think sometimes that could help, but I don't know enough 465 00:25:43,960 --> 00:25:46,080 Speaker 1: about it. It also could make the stain worse, So 466 00:25:46,119 --> 00:25:49,159 Speaker 1: I'm not gonna. I'm gonna say, you know, you're on 467 00:25:49,240 --> 00:25:49,600 Speaker 1: your own. 468 00:25:49,800 --> 00:25:52,239 Speaker 2: I found a short article on the internet, Chuck, that 469 00:25:52,400 --> 00:25:58,479 Speaker 2: was by the Smithsonian's preservationists about how to remove stains. 470 00:25:58,520 --> 00:26:01,119 Speaker 2: I'm like, Okay, pretty sure these people know how to 471 00:26:01,160 --> 00:26:05,320 Speaker 2: remove old stains, so I would go with whatever advice they're. 472 00:26:05,160 --> 00:26:08,320 Speaker 1: Giving, all right, So in lieu of repeating it, you're 473 00:26:08,320 --> 00:26:11,159 Speaker 1: just gonna say, ask the Smithsonian what they. 474 00:26:11,040 --> 00:26:13,760 Speaker 2: Think, pretty much. And then there's one other other thing 475 00:26:13,760 --> 00:26:16,800 Speaker 2: I want to shout out, which appropriately a shout because 476 00:26:16,800 --> 00:26:19,080 Speaker 2: if shout didn't exist, I would have to buy new 477 00:26:19,080 --> 00:26:22,160 Speaker 2: T shirts every week. Essentially, I'd spill stuff on myself 478 00:26:22,400 --> 00:26:27,399 Speaker 2: all the time. It's really strange, but shout works really, 479 00:26:27,440 --> 00:26:30,920 Speaker 2: really well. And I love it. I love shout so much. 480 00:26:31,040 --> 00:26:33,320 Speaker 2: And I went online and found that there's a shout 481 00:26:33,680 --> 00:26:37,719 Speaker 2: like ask shout how to treat a particular kind of stain. 482 00:26:38,200 --> 00:26:40,199 Speaker 2: So there's like some different criteria put in and then 483 00:26:40,240 --> 00:26:43,680 Speaker 2: shout tells you what to do, what shout product will 484 00:26:43,680 --> 00:26:46,320 Speaker 2: work or what you know whether you should try, you know, 485 00:26:46,440 --> 00:26:49,520 Speaker 2: heat or whatever. And I thought that was a very 486 00:26:49,520 --> 00:26:50,640 Speaker 2: helpful sight as well. 487 00:26:52,240 --> 00:26:53,480 Speaker 1: I don't think i've ever used shout. 488 00:26:53,920 --> 00:26:55,160 Speaker 2: Oh so good. 489 00:26:55,640 --> 00:26:56,560 Speaker 1: Emily won't allow that. 490 00:26:56,600 --> 00:27:01,800 Speaker 2: Now shout specifically too. I'm not talking about any competitor. 491 00:27:01,800 --> 00:27:04,040 Speaker 2: I'm talking specifically about shout. 492 00:27:04,880 --> 00:27:05,600 Speaker 1: What's your question. 493 00:27:06,600 --> 00:27:08,000 Speaker 2: I don't have a question. I just wanted to make 494 00:27:08,000 --> 00:27:11,240 Speaker 2: sure everybody knows how much shout helps my life. 495 00:27:11,480 --> 00:27:13,520 Speaker 1: I got y'all thought you were asking if shout specifically 496 00:27:13,640 --> 00:27:14,639 Speaker 1: was what Emily won't allow on that. 497 00:27:14,720 --> 00:27:17,440 Speaker 2: No, no, but let's get to that. Why is Emily 498 00:27:17,480 --> 00:27:18,240 Speaker 2: opposed to shout? 499 00:27:18,600 --> 00:27:20,680 Speaker 1: Well, I mean we've been all through this and Emily's 500 00:27:21,840 --> 00:27:27,000 Speaker 1: all natural sort of Oh the Kims, Sure, yeah, but regardless, 501 00:27:27,000 --> 00:27:29,280 Speaker 1: that's fine. I've got some stained shirts probably as a result. 502 00:27:31,080 --> 00:27:33,320 Speaker 2: Bring them to my house. I'll secretly wash them with shout. 503 00:27:34,280 --> 00:27:36,240 Speaker 1: Some stains won't come out. I mean, that's just the 504 00:27:36,320 --> 00:27:39,120 Speaker 1: fact of the matter. A dry cleaner can do their 505 00:27:39,240 --> 00:27:41,880 Speaker 1: very best, but if a dry cleaner can't get out 506 00:27:41,880 --> 00:27:44,840 Speaker 1: of stain, that means that that stain is just forever there. 507 00:27:45,280 --> 00:27:47,520 Speaker 2: Yep, you just set that shirt on fire and say, 508 00:27:47,600 --> 00:27:48,439 Speaker 2: no one could love. 509 00:27:48,320 --> 00:27:53,359 Speaker 1: You now exactly. To me, the finishing process is the 510 00:27:53,400 --> 00:27:57,159 Speaker 1: most interesting because when you're walking through Waynsmith's closet and 511 00:27:57,200 --> 00:28:01,080 Speaker 1: you see all those shirts so perfectly pressed, a little 512 00:28:01,119 --> 00:28:04,280 Speaker 1: stiff for me, but that's how Wayne liked him. I 513 00:28:04,440 --> 00:28:07,040 Speaker 1: always was like, how in the world, Like, what is 514 00:28:07,080 --> 00:28:09,600 Speaker 1: going on there to get these things looking like that 515 00:28:09,840 --> 00:28:10,760 Speaker 1: or that double crease? 516 00:28:11,040 --> 00:28:13,520 Speaker 2: Sure he was one of those people. 517 00:28:14,640 --> 00:28:18,959 Speaker 1: This is all called the finishing process, and it is. 518 00:28:19,720 --> 00:28:21,800 Speaker 1: These are the videos. They're a lot of fun to 519 00:28:21,800 --> 00:28:23,800 Speaker 1: watch on YouTube in my opinion. 520 00:28:24,400 --> 00:28:27,320 Speaker 2: Yeah, because it's pretty nuts. They have like a specific 521 00:28:27,359 --> 00:28:30,359 Speaker 2: machine for each one of these things. And again you 522 00:28:30,800 --> 00:28:32,800 Speaker 2: kind of touched on it, like this is a very 523 00:28:32,840 --> 00:28:36,080 Speaker 2: automated process, but there's humans overseeing the automation at like 524 00:28:36,119 --> 00:28:39,280 Speaker 2: every step of the way, so there's like people working 525 00:28:39,280 --> 00:28:41,800 Speaker 2: in conjunction with machines. It's kind of beautiful in a way. 526 00:28:42,720 --> 00:28:45,640 Speaker 2: What I hope the futures like rather than the machines 527 00:28:45,680 --> 00:28:50,080 Speaker 2: just completely dominating us into extinction. But I saw some 528 00:28:50,200 --> 00:28:52,440 Speaker 2: probably some of those same videos you did, where they'll 529 00:28:52,480 --> 00:28:55,040 Speaker 2: like take a shirt and then puff it up with air. 530 00:28:55,120 --> 00:28:58,160 Speaker 2: Suddenly it's like an invisible person's in the shirt and 531 00:28:58,200 --> 00:29:00,920 Speaker 2: then they're running like steamed through it and getting like 532 00:29:01,280 --> 00:29:03,040 Speaker 2: the press to it. It's pretty neat. 533 00:29:03,720 --> 00:29:06,720 Speaker 1: Yeah, it's amazing. They put it on this form called 534 00:29:06,760 --> 00:29:09,760 Speaker 1: a shirt buck, or it could be a double buck 535 00:29:09,920 --> 00:29:12,360 Speaker 1: or a triple buck if there are several of these, 536 00:29:12,400 --> 00:29:15,440 Speaker 1: and it's it's basically like a almost like just a 537 00:29:15,480 --> 00:29:19,640 Speaker 1: torso form. And when they blast this steam in there, 538 00:29:19,720 --> 00:29:22,240 Speaker 1: it's not like when you have a steamer at home, 539 00:29:22,720 --> 00:29:24,640 Speaker 1: like a home steamer and you have a you know, 540 00:29:24,720 --> 00:29:28,000 Speaker 1: something hanging in you're sort of gently steaming it. It 541 00:29:28,080 --> 00:29:30,600 Speaker 1: is blasting steam in there, like you said, to where 542 00:29:30,600 --> 00:29:33,280 Speaker 1: it puffs up, whether it's pants or whether it's on 543 00:29:33,320 --> 00:29:37,440 Speaker 1: a shirt buck. And while it is they do this 544 00:29:37,520 --> 00:29:40,600 Speaker 1: while it's wet. Then they blow it out with that 545 00:29:40,720 --> 00:29:44,120 Speaker 1: air in a very violent manner to where it puffs up, 546 00:29:44,760 --> 00:29:47,320 Speaker 1: and at that point the shirt looks really good to 547 00:29:47,400 --> 00:29:50,520 Speaker 1: my eyeballs, or the pants or whatever, but that that 548 00:29:50,640 --> 00:29:54,800 Speaker 1: is not it because they still go through a ironing process, 549 00:29:55,200 --> 00:29:58,960 Speaker 1: whether it is a sort of an ironing board with 550 00:29:59,000 --> 00:30:01,760 Speaker 1: a big, large press that closes down like a coffin lid, 551 00:30:02,640 --> 00:30:06,959 Speaker 1: or a huge line of human beings with irons that 552 00:30:07,000 --> 00:30:10,720 Speaker 1: are connected to a had like a tube coming from 553 00:30:10,800 --> 00:30:13,960 Speaker 1: the ceiling into the back of the iron, which what 554 00:30:14,160 --> 00:30:17,480 Speaker 1: I assume is delivering steam so they didn't have to 555 00:30:17,520 --> 00:30:20,880 Speaker 1: keep like refilling the iron with water. And they are 556 00:30:20,960 --> 00:30:25,440 Speaker 1: there are human beings ironing I saw in case it matters. 557 00:30:25,560 --> 00:30:29,280 Speaker 1: The toughest thing and the most time consuming to press 558 00:30:29,360 --> 00:30:32,640 Speaker 1: are chinos or any kind of cotton pant. 559 00:30:32,800 --> 00:30:35,320 Speaker 2: I would not have guessed, oh, because they take another 560 00:30:35,480 --> 00:30:37,560 Speaker 2: like you can so easily wrinkle them while you're pressing 561 00:30:37,600 --> 00:30:40,920 Speaker 2: one part of it. I guess gotta be because that's 562 00:30:40,960 --> 00:30:41,840 Speaker 2: my experience. 563 00:30:42,360 --> 00:30:44,400 Speaker 1: Yeah, but it's it's pretty amazing. And that's when those 564 00:30:44,440 --> 00:30:47,000 Speaker 1: things and when you when there are interviews with these people, 565 00:30:47,040 --> 00:30:49,880 Speaker 1: they're really you can tell they're into making this stuff 566 00:30:49,880 --> 00:30:50,520 Speaker 1: look perfect. 567 00:30:50,960 --> 00:30:53,920 Speaker 2: Yeah, something we should say that I'm not sure if 568 00:30:53,920 --> 00:30:57,040 Speaker 2: we've gotten across, but in the dry cleaning process, your 569 00:30:57,080 --> 00:31:01,960 Speaker 2: clothes actually get wet. But in addition to that, there's 570 00:31:02,000 --> 00:31:04,520 Speaker 2: a reason why a lot of kinds of clothes say 571 00:31:04,600 --> 00:31:07,880 Speaker 2: dry clean only. It's because they're very delicate fabrics. They're 572 00:31:07,880 --> 00:31:10,560 Speaker 2: fabrics that could shrink very easily. That's one of the 573 00:31:10,560 --> 00:31:15,160 Speaker 2: big problems with water. Water penetrates fabric and so it 574 00:31:15,200 --> 00:31:18,680 Speaker 2: can actually collapse, like the tension of the weave. It 575 00:31:18,720 --> 00:31:21,480 Speaker 2: can cause like in like wool, I saw that wool 576 00:31:21,720 --> 00:31:24,760 Speaker 2: hair fibers have scales that the water basically makes stick together, 577 00:31:25,000 --> 00:31:29,240 Speaker 2: and so water shrinks things. Dry cleaning solvents don't actually 578 00:31:29,280 --> 00:31:33,160 Speaker 2: penetrate the fabric. They manage to get stains off, but 579 00:31:33,200 --> 00:31:35,600 Speaker 2: they don't they don't do anything that would cause like 580 00:31:35,640 --> 00:31:39,000 Speaker 2: your your your shirt or your sweater or whatever to shrink. 581 00:31:39,320 --> 00:31:43,240 Speaker 2: And they're much more delicate on the garment itself, Like yeah, 582 00:31:43,280 --> 00:31:45,680 Speaker 2: it tumbles and all that stuff, but it's much softer, 583 00:31:46,120 --> 00:31:48,640 Speaker 2: much more delicate. So there's a reason why some things 584 00:31:48,640 --> 00:31:52,520 Speaker 2: say dry clean only, and there's so that's essentially the 585 00:31:52,600 --> 00:31:55,800 Speaker 2: point of dry cleaning is it treats fabrics much more 586 00:31:55,840 --> 00:31:59,920 Speaker 2: gently in the process and in the types of chemicals 587 00:32:00,080 --> 00:32:00,600 Speaker 2: are used. 588 00:32:01,120 --> 00:32:05,240 Speaker 1: Yeah, I mean, even if you're just standard clothing, like 589 00:32:05,280 --> 00:32:07,760 Speaker 1: the washing and drying process at home is just it's 590 00:32:07,840 --> 00:32:11,760 Speaker 1: rough on clothes periods. Sure, that's what causes a lot 591 00:32:11,760 --> 00:32:14,280 Speaker 1: of like wear and tear on your clothes. It's not 592 00:32:14,320 --> 00:32:18,600 Speaker 1: necessarily from literally wearing it, but just that washing and 593 00:32:18,680 --> 00:32:21,480 Speaker 1: drying process is just it's tough, you know. 594 00:32:21,720 --> 00:32:23,760 Speaker 2: Yeah, No, it is. Plus it's time consuming. 595 00:32:25,000 --> 00:32:27,479 Speaker 1: Yeah. Do you ever do that? Do you ever do that? 596 00:32:27,520 --> 00:32:29,760 Speaker 1: Deal like when you were a single guy, where you 597 00:32:29,760 --> 00:32:32,040 Speaker 1: would drop your laundry off and have someone else do it. 598 00:32:32,120 --> 00:32:34,360 Speaker 2: I I think I might have in college, although this 599 00:32:34,400 --> 00:32:35,960 Speaker 2: could be one of those things where I'm like making 600 00:32:36,000 --> 00:32:37,800 Speaker 2: up a memory just to you know, sound like a 601 00:32:37,800 --> 00:32:41,640 Speaker 2: big shot, but I I think maybe once. But no, 602 00:32:41,800 --> 00:32:43,680 Speaker 2: for the most part, I would do it myself. Now. 603 00:32:43,800 --> 00:32:45,800 Speaker 2: U mean's like I got the laundry, I know what 604 00:32:45,840 --> 00:32:48,280 Speaker 2: I'm doing. You just spray shout on your stuff and 605 00:32:48,320 --> 00:32:48,960 Speaker 2: I'll wash it. 606 00:32:49,600 --> 00:32:53,240 Speaker 1: Yeah. I did it occasionally back in the day when 607 00:32:53,240 --> 00:32:56,440 Speaker 1: I was super broke, I would scrape up enough money 608 00:32:56,480 --> 00:32:58,840 Speaker 1: to have someone do my laundry because it was just 609 00:33:00,440 --> 00:33:01,720 Speaker 1: there was nothing like it. You know. 610 00:33:01,760 --> 00:33:04,680 Speaker 2: That's awesome. Man. I got one other thing. Do you 611 00:33:04,680 --> 00:33:06,960 Speaker 2: have something with other brand? None? 612 00:33:07,760 --> 00:33:07,880 Speaker 1: Right? 613 00:33:08,680 --> 00:33:12,200 Speaker 2: You know how they put plastic over your your dry 614 00:33:12,240 --> 00:33:13,400 Speaker 2: cleaning when you take it home. 615 00:33:14,120 --> 00:33:15,800 Speaker 1: Yeah, that process is even cool. 616 00:33:16,120 --> 00:33:18,440 Speaker 2: It is pretty cool. It's a machine with a human 617 00:33:18,480 --> 00:33:21,520 Speaker 2: working with the machine, is it not. Okay, So that's 618 00:33:21,560 --> 00:33:24,240 Speaker 2: intended to get your stuff home, to keep your dirty, 619 00:33:24,320 --> 00:33:27,400 Speaker 2: nasty Cheetos filled car from getting your new clothes cleaned 620 00:33:27,760 --> 00:33:30,480 Speaker 2: or your new clean clothes dirty. When you get it home, 621 00:33:30,520 --> 00:33:32,120 Speaker 2: you want to take it off. You want to take 622 00:33:32,120 --> 00:33:35,360 Speaker 2: the plastic off and recycle it. You can recycle plastic 623 00:33:35,440 --> 00:33:38,400 Speaker 2: like that. It's called plastic film at your grocery store 624 00:33:38,440 --> 00:33:40,960 Speaker 2: along with your plastic grocery bag. So don't throw it away, 625 00:33:41,320 --> 00:33:44,400 Speaker 2: recycle it, but get it off your clothes immediately when 626 00:33:44,480 --> 00:33:48,000 Speaker 2: you get home, because it can actually really become harsh 627 00:33:48,080 --> 00:33:51,680 Speaker 2: and just trapped in the clothing under the plastic. You 628 00:33:51,680 --> 00:33:53,800 Speaker 2: don't want to just store your clothes in plastic in 629 00:33:53,840 --> 00:33:54,400 Speaker 2: your closet. 630 00:33:55,240 --> 00:33:57,840 Speaker 1: If I walk into your closet and you got a 631 00:33:57,840 --> 00:34:01,080 Speaker 1: bunch of stuff hanging there in dry cleaner bag, I'm 632 00:34:01,120 --> 00:34:03,560 Speaker 1: calling the police because I'm in fear for my life. 633 00:34:03,720 --> 00:34:07,040 Speaker 2: For sure, because there's probably a person in one of 634 00:34:07,040 --> 00:34:08,240 Speaker 2: those backs too, right. 635 00:34:08,200 --> 00:34:10,279 Speaker 1: Yeah, and you know who never I never saw that, 636 00:34:10,840 --> 00:34:12,680 Speaker 1: And you know whose closet? I never saw that? 637 00:34:12,719 --> 00:34:15,600 Speaker 2: In Rad's dad, Wayne Smith, that's. 638 00:34:15,480 --> 00:34:19,600 Speaker 1: Right, No way, all right? Should we take another break? 639 00:34:19,640 --> 00:34:20,080 Speaker 2: I think so. 640 00:34:20,680 --> 00:34:23,719 Speaker 1: All right, we're gonna come back and basically the rest 641 00:34:23,760 --> 00:35:03,480 Speaker 1: of the episode is going to be about chemicals. All right. 642 00:35:03,520 --> 00:35:06,640 Speaker 1: We promised talk of chemicals, and that's what we're gonna do, 643 00:35:06,760 --> 00:35:10,560 Speaker 1: because we're going to talk a lot about perk. Just statistically, 644 00:35:11,040 --> 00:35:14,160 Speaker 1: we can go ahead and throw out some numbers. Sixty 645 00:35:14,200 --> 00:35:17,400 Speaker 1: to sixty five percent of dry cleaners in the United 646 00:35:17,400 --> 00:35:21,560 Speaker 1: States still use perk. That sounds high, fairly high. It's 647 00:35:21,640 --> 00:35:24,320 Speaker 1: higher in Europe about eighty five percent. 648 00:35:24,440 --> 00:35:25,080 Speaker 2: That's higher. 649 00:35:25,600 --> 00:35:28,640 Speaker 1: Yeah, that's a good average, because I did see other numbers, 650 00:35:28,640 --> 00:35:31,799 Speaker 1: but that looks to be about the average. And I 651 00:35:31,840 --> 00:35:34,560 Speaker 1: also found this that a lot of EU countries have 652 00:35:34,719 --> 00:35:42,960 Speaker 1: mandated fifth generation machines, although you could get a there 653 00:35:43,000 --> 00:35:45,200 Speaker 1: are allowances if you have a fourth generation, if you 654 00:35:45,239 --> 00:35:48,279 Speaker 1: do all this other stuff. In the US you can 655 00:35:48,320 --> 00:35:51,040 Speaker 1: have if you have a second generation machine. There are 656 00:35:51,080 --> 00:35:52,320 Speaker 1: no first generation anymore. 657 00:35:52,360 --> 00:35:55,560 Speaker 2: Basically, yeah, that was the separate washer dryer. Yeah. 658 00:35:55,920 --> 00:35:59,040 Speaker 1: Yeah, if you have a second generation machine in the US, 659 00:35:59,120 --> 00:36:02,880 Speaker 1: you can upgrade it. I'm sorry, you have to upgrade 660 00:36:02,880 --> 00:36:05,360 Speaker 1: it to at least a fourth And if you have 661 00:36:05,440 --> 00:36:09,520 Speaker 1: a third. It can actually be retrofitted to make it 662 00:36:09,600 --> 00:36:13,600 Speaker 1: a fourth, but they're not selling or installing anything anymore 663 00:36:13,640 --> 00:36:14,800 Speaker 1: unless it's a fifth generation. 664 00:36:15,000 --> 00:36:17,640 Speaker 2: I gotcha, unless you like know a guy. 665 00:36:19,080 --> 00:36:23,520 Speaker 1: Yeah, and that's because perk is a neurotoxin and it 666 00:36:23,640 --> 00:36:26,840 Speaker 1: causes all sorts of problems with people and the environment. 667 00:36:26,920 --> 00:36:29,560 Speaker 2: Yeah. We talked about how the stuff that perk replaced 668 00:36:29,560 --> 00:36:32,399 Speaker 2: turned out to be neurotoxins. Well, perk's are neurotoxin too, 669 00:36:32,440 --> 00:36:34,960 Speaker 2: which I mean just the fact that it's related to 670 00:36:35,760 --> 00:36:39,879 Speaker 2: chloroform is probably something of a giveaway. But it's even 671 00:36:39,920 --> 00:36:42,960 Speaker 2: worse than anyone thought. And in the nineties the United 672 00:36:43,000 --> 00:36:46,160 Speaker 2: States EPA started being like, hey, we've been studying this 673 00:36:46,239 --> 00:36:49,320 Speaker 2: perk on the side here, and it's actually really bad. 674 00:36:49,680 --> 00:36:52,920 Speaker 2: It can do some magical stuff, like for all intents 675 00:36:52,920 --> 00:36:56,000 Speaker 2: and purposes, it's magic in the way that it can 676 00:36:56,040 --> 00:36:58,719 Speaker 2: move through the environment. For example, when we talked about 677 00:36:58,760 --> 00:37:01,640 Speaker 2: those transfer machines truck where you would take the wet 678 00:37:01,840 --> 00:37:05,439 Speaker 2: perk laden laundry and move it into the dryer. 679 00:37:05,400 --> 00:37:07,759 Speaker 1: Spill Perk'll do it home exactly, per. 680 00:37:07,840 --> 00:37:11,239 Speaker 2: Exactly, But imagine it's perk dripping on your floor. That 681 00:37:11,520 --> 00:37:16,000 Speaker 2: perk is able to travel through concrete, through soil and 682 00:37:16,040 --> 00:37:20,040 Speaker 2: get into groundwater. And even while it's getting into groundwater, 683 00:37:20,360 --> 00:37:22,800 Speaker 2: other molecules of perk are getting stuck in the little 684 00:37:22,800 --> 00:37:27,279 Speaker 2: air pockets, vaporizing and spreading elsewhere, and then going up 685 00:37:27,320 --> 00:37:30,520 Speaker 2: into neighboring buildings and people are breathing it in there. 686 00:37:30,560 --> 00:37:33,560 Speaker 2: And again, this is a neurotoxin, it's a carcinogen, and 687 00:37:33,640 --> 00:37:36,800 Speaker 2: it is the thing that has fueled the dry cleaning 688 00:37:36,840 --> 00:37:41,160 Speaker 2: industry for the last eighty years. And we're just starting 689 00:37:41,239 --> 00:37:44,040 Speaker 2: to realize that if you have an old dry cleaning 690 00:37:44,080 --> 00:37:47,680 Speaker 2: facility that you own, it's probably a super fun site 691 00:37:47,800 --> 00:37:50,040 Speaker 2: and you're going to have to spend an eye popping 692 00:37:50,120 --> 00:37:53,400 Speaker 2: amount of money to clean it up or else you'll 693 00:37:53,880 --> 00:37:55,640 Speaker 2: I don't know about go to jail, but you certainly 694 00:37:55,680 --> 00:37:57,200 Speaker 2: will never be able to sell the place. 695 00:37:57,800 --> 00:38:02,040 Speaker 1: Yeah. I was reading up on some EPA studies and 696 00:38:02,360 --> 00:38:05,719 Speaker 1: they followed a group of Cape Cod communities in this 697 00:38:05,760 --> 00:38:10,520 Speaker 1: one study because apparently there was a lot of perk 698 00:38:11,120 --> 00:38:14,480 Speaker 1: in their area, a lot of perk prolonged perk exposure, 699 00:38:15,080 --> 00:38:17,279 Speaker 1: and they found that it was in the drinking water 700 00:38:17,480 --> 00:38:20,640 Speaker 1: in these Cape Cod communities. And in these communities they 701 00:38:20,680 --> 00:38:24,880 Speaker 1: found a host of pregnancy related issues over the years, 702 00:38:25,560 --> 00:38:29,440 Speaker 1: as well as an increased risk of bipolar disorder, illicit 703 00:38:29,480 --> 00:38:34,240 Speaker 1: drug use PTSD, vision problems, and some kinds of cancer. Wow, 704 00:38:35,200 --> 00:38:38,040 Speaker 1: you know, not going to say like every single bit 705 00:38:38,080 --> 00:38:40,520 Speaker 1: of that is perk, but this was a very long 706 00:38:40,640 --> 00:38:43,040 Speaker 1: term study over this community or these communities that were 707 00:38:43,120 --> 00:38:46,160 Speaker 1: kind of riddled with perk exposure. And it's so bad 708 00:38:46,239 --> 00:38:53,120 Speaker 1: that the EPA said by December twenty twenty, it's legal 709 00:38:53,160 --> 00:38:55,759 Speaker 1: to use it, but you can't be in a like 710 00:38:56,160 --> 00:38:58,480 Speaker 1: a residential building. You can't be on the ground floor 711 00:38:58,880 --> 00:39:01,560 Speaker 1: of a New York City apartartment building and still be 712 00:39:01,680 --> 00:39:06,400 Speaker 1: using perk. And states like California, of course, have completely 713 00:39:06,440 --> 00:39:09,080 Speaker 1: banned perk as of this year. Well, is this coming 714 00:39:09,080 --> 00:39:10,000 Speaker 1: out next year this year? 715 00:39:10,280 --> 00:39:14,279 Speaker 2: As of Yeah, it's coming out next year. So we're 716 00:39:14,280 --> 00:39:15,280 Speaker 2: talking about last. 717 00:39:15,080 --> 00:39:17,560 Speaker 1: Year, yeah, which is twenty twenty three. 718 00:39:18,120 --> 00:39:21,120 Speaker 2: Yeah, so they said we're done, it's over, like we're 719 00:39:21,600 --> 00:39:25,560 Speaker 2: you can't use perk anymore. And not only that, we're 720 00:39:25,680 --> 00:39:30,480 Speaker 2: requiring you again, remember these small business owners to pay 721 00:39:30,600 --> 00:39:34,320 Speaker 2: for these cleanups. Like as I think the Small Business 722 00:39:34,360 --> 00:39:37,080 Speaker 2: Administration passed a rule that said, if you own a 723 00:39:37,160 --> 00:39:40,080 Speaker 2: dry cleaner or you own a building that has historically 724 00:39:40,280 --> 00:39:43,719 Speaker 2: housed a dry cleaner, even decades ago, you have to 725 00:39:43,800 --> 00:39:46,719 Speaker 2: pay an environmental consultant to come in and tell you 726 00:39:46,760 --> 00:39:50,600 Speaker 2: whether your site's contaminated. And I think there was a 727 00:39:50,640 --> 00:39:54,480 Speaker 2: two thousand and two Florida study. This is two thousand 728 00:39:54,480 --> 00:39:56,600 Speaker 2: and two, so there was the I couldn't find a 729 00:39:56,640 --> 00:40:00,160 Speaker 2: more updated one, but it said that they found eye 730 00:40:00,200 --> 00:40:04,360 Speaker 2: cleaner contamination to migrated off site at fifty seven percent 731 00:40:04,640 --> 00:40:07,480 Speaker 2: of contaminated sites. And a more recent study by the 732 00:40:07,520 --> 00:40:12,880 Speaker 2: EPA found that seventy five percent of dry cleaning sites 733 00:40:13,440 --> 00:40:16,960 Speaker 2: are contaminated and they think there's possibly nine thousand and 734 00:40:17,160 --> 00:40:22,320 Speaker 2: ninety thousand former dry cleaning sites that are contaminated as well. 735 00:40:22,480 --> 00:40:22,920 Speaker 1: Wow. 736 00:40:23,239 --> 00:40:26,640 Speaker 2: Yeah, and you have to pay sometimes a few million 737 00:40:26,719 --> 00:40:31,000 Speaker 2: dollars to remediate this site. What's nuts, Chuck. I don't 738 00:40:31,000 --> 00:40:34,120 Speaker 2: know if you saw in that San Luis Obispo article 739 00:40:34,880 --> 00:40:38,320 Speaker 2: that even if you're like, if you're a barber shop 740 00:40:38,560 --> 00:40:42,239 Speaker 2: and there used to be a dry cleaning place in 741 00:40:42,280 --> 00:40:46,839 Speaker 2: your building, in your shop twenty years before, long before 742 00:40:46,880 --> 00:40:49,400 Speaker 2: you ever came along and bought the place, you still 743 00:40:49,560 --> 00:40:53,759 Speaker 2: have to have that environmental study run and then pay 744 00:40:53,760 --> 00:40:57,640 Speaker 2: for any cleanup that's found. Wow, it's nuts. It's off 745 00:40:57,719 --> 00:40:59,040 Speaker 2: the rails right now. 746 00:40:59,640 --> 00:41:01,839 Speaker 1: Yeah, and you know, all the damage we were talking 747 00:41:01,840 --> 00:41:06,080 Speaker 1: about potential risks and damage to humans, that's not even 748 00:41:06,200 --> 00:41:09,680 Speaker 1: you know, covering the damage that it does to aquatic creatures. 749 00:41:10,160 --> 00:41:11,960 Speaker 1: And the fact that this runoff, you know, once it 750 00:41:12,000 --> 00:41:14,920 Speaker 1: gets into the groundwater and then they runoff in various 751 00:41:15,880 --> 00:41:18,839 Speaker 1: you know, bodies of water really really bad for you know, 752 00:41:18,880 --> 00:41:20,279 Speaker 1: basically anything in the water. 753 00:41:20,560 --> 00:41:22,200 Speaker 2: So a lot of people are like, well, I'm just 754 00:41:22,200 --> 00:41:24,120 Speaker 2: going to close up shop, and they're like, you still 755 00:41:24,160 --> 00:41:26,319 Speaker 2: have to pay for it, you know, like it's it's 756 00:41:26,400 --> 00:41:29,640 Speaker 2: really a nightmare for people who are just who own 757 00:41:29,680 --> 00:41:32,440 Speaker 2: these dry cleaning places. And the reason why they have 758 00:41:32,560 --> 00:41:36,560 Speaker 2: like a real chance or a case saying like why 759 00:41:36,600 --> 00:41:39,880 Speaker 2: should we have to fut this bill ourselves is because 760 00:41:39,920 --> 00:41:42,320 Speaker 2: they were following like they often had to get permits 761 00:41:42,440 --> 00:41:45,080 Speaker 2: in some states to use perk in decades. 762 00:41:44,680 --> 00:41:47,120 Speaker 1: Past, so the government gave them. 763 00:41:47,000 --> 00:41:50,280 Speaker 2: Exactly so they were following best practices, they were getting 764 00:41:50,280 --> 00:41:52,680 Speaker 2: the permits they needed to to use perk. And now 765 00:41:52,719 --> 00:41:55,200 Speaker 2: that everybody's like perk's really bad, you need to clean 766 00:41:55,200 --> 00:41:57,399 Speaker 2: it up, They're like, well, wait a minute, I need 767 00:41:57,440 --> 00:42:02,000 Speaker 2: some help here. So I hope just for the the 768 00:42:02,239 --> 00:42:05,640 Speaker 2: small business owner's sake, yeah, that there's a shift in 769 00:42:06,440 --> 00:42:08,680 Speaker 2: you know, who needs to pay for this because posedly 770 00:42:08,680 --> 00:42:12,839 Speaker 2: it's an eight billion dollar problem in the United States alone. Wow. 771 00:42:13,440 --> 00:42:17,600 Speaker 1: Yeah. So obviously, with the problems of perk and the 772 00:42:18,640 --> 00:42:22,480 Speaker 1: shrinking numbers of people using perk or dry cleaners using perk, 773 00:42:22,680 --> 00:42:25,440 Speaker 1: you're wondering, probably, well, what are they using these days? 774 00:42:26,520 --> 00:42:29,880 Speaker 1: Green dry cleaning is a thing now that is becoming 775 00:42:29,960 --> 00:42:33,480 Speaker 1: more widespread, kind of slowly, I guess, but that seems 776 00:42:33,480 --> 00:42:36,440 Speaker 1: to be the future. And there are currently four different 777 00:42:36,560 --> 00:42:42,200 Speaker 1: methods of quote unquote green dry cleaning, and we're going 778 00:42:42,280 --> 00:42:42,879 Speaker 1: to talk about those. 779 00:42:42,960 --> 00:42:47,200 Speaker 2: I'm I'm glad you said quote unquote yeah, because. 780 00:42:46,920 --> 00:42:49,120 Speaker 1: Because we're going to talk about some green washing terms 781 00:42:49,200 --> 00:42:49,840 Speaker 1: here in a minute too. 782 00:42:50,080 --> 00:42:51,080 Speaker 2: Sure, big time. 783 00:42:51,760 --> 00:42:56,560 Speaker 1: Wet cleaning, We're there, everyone, It uses water. We're back 784 00:42:56,560 --> 00:43:00,839 Speaker 1: to water. It uses water and these very specialized detergents 785 00:43:00,880 --> 00:43:04,800 Speaker 1: that are basically just easier on your clothes or much milder. 786 00:43:05,600 --> 00:43:08,680 Speaker 1: The EPA says, it's you know, you're not using hazardous chemicals, 787 00:43:08,719 --> 00:43:13,320 Speaker 1: you're not generating hazardous waste, you're not generating air pollution, 788 00:43:14,200 --> 00:43:17,040 Speaker 1: and you're not contaminating the water around you. You're not 789 00:43:17,080 --> 00:43:19,320 Speaker 1: going to be a super fun site if you switch 790 00:43:19,360 --> 00:43:22,799 Speaker 1: to wet cleaning. But that also costs money, and that's 791 00:43:22,840 --> 00:43:27,040 Speaker 1: why places like King County where Seattle, Washington is is saying, hey, 792 00:43:27,280 --> 00:43:31,240 Speaker 1: you can get a grant to help cover the costs 793 00:43:31,719 --> 00:43:34,320 Speaker 1: of which is like between forty and sixty grand depending 794 00:43:34,360 --> 00:43:36,600 Speaker 1: on how big your operation is of switching to this 795 00:43:36,680 --> 00:43:38,120 Speaker 1: greener wet cleaning. 796 00:43:38,239 --> 00:43:40,440 Speaker 2: Right, And some people are like, it's not going to 797 00:43:40,520 --> 00:43:42,759 Speaker 2: work as well as dry cleaning, and they're like, give 798 00:43:42,800 --> 00:43:45,799 Speaker 2: it a chance. We've really made some advances. So the 799 00:43:45,880 --> 00:43:47,480 Speaker 2: jury's out on wet cleaning. But I think just the 800 00:43:47,520 --> 00:43:52,440 Speaker 2: fact that it's one of the actual green alternatives that 801 00:43:52,239 --> 00:43:56,560 Speaker 2: is truly green, that isn't green washing. Who knows it 802 00:43:56,640 --> 00:43:58,960 Speaker 2: might be the future of dry cleaning is wet cleaning, 803 00:43:59,640 --> 00:44:01,600 Speaker 2: which I wonder if they'll still call it dry cleaning. 804 00:44:01,680 --> 00:44:04,839 Speaker 1: I bet they will. You think, so, yeah, you can't. 805 00:44:04,840 --> 00:44:07,120 Speaker 1: I mean, that's a there's such brand identity there. 806 00:44:07,239 --> 00:44:08,840 Speaker 2: Yeah, for sure, it's not a brand. 807 00:44:08,840 --> 00:44:10,840 Speaker 1: But you know what I mean, Uh, tell us about 808 00:44:10,920 --> 00:44:13,560 Speaker 1: liquid Co two because that's another good one. Huh. 809 00:44:13,600 --> 00:44:18,440 Speaker 2: This one is supposedly totally non toxic, environmentally friendly, and 810 00:44:18,520 --> 00:44:22,319 Speaker 2: it uses liquid CO two, which you know like the 811 00:44:22,360 --> 00:44:25,200 Speaker 2: power of oxy or how you use like baking sod 812 00:44:25,239 --> 00:44:28,640 Speaker 2: and stuff like that. Carbon dioxide can actually lift stains 813 00:44:28,719 --> 00:44:31,640 Speaker 2: off of fabrics. So this is a combination of liquid 814 00:44:31,680 --> 00:44:34,960 Speaker 2: CO two and gas CO two that's used instead of 815 00:44:35,040 --> 00:44:38,880 Speaker 2: solvents or I guess as a solvent in dry cleaning machines. 816 00:44:40,400 --> 00:44:44,320 Speaker 2: And the problem with these there's very few problems that 817 00:44:44,440 --> 00:44:48,760 Speaker 2: they actually use CO two that's captured from other industrial sites. 818 00:44:48,800 --> 00:44:50,839 Speaker 2: So the CO two that's being used in these new 819 00:44:50,920 --> 00:44:55,600 Speaker 2: generation liquid CO two dry cleaning machines would have become 820 00:44:55,640 --> 00:44:58,719 Speaker 2: air pollution otherwise, so they've figured out a way to 821 00:44:58,760 --> 00:45:03,279 Speaker 2: divert air pollution into dry cleaning. The real downside of 822 00:45:03,400 --> 00:45:07,600 Speaker 2: is it's really really expensive to switch over to CO 823 00:45:07,960 --> 00:45:11,040 Speaker 2: two cleaning machines. I think they're about one hundred and 824 00:45:11,080 --> 00:45:13,440 Speaker 2: fifty grand each was is like three times more than 825 00:45:13,480 --> 00:45:14,920 Speaker 2: a perk machine. 826 00:45:15,560 --> 00:45:17,200 Speaker 1: Yeah, like a Gen five perk. 827 00:45:17,480 --> 00:45:22,960 Speaker 2: Exactly band name Gen five per Yeah, I think so 828 00:45:23,280 --> 00:45:26,600 Speaker 2: again one of your early bands before you like really 829 00:45:26,640 --> 00:45:27,520 Speaker 2: form a good band. 830 00:45:27,920 --> 00:45:32,399 Speaker 1: Yeah, there's also a one, this is the third one 831 00:45:32,440 --> 00:45:36,680 Speaker 1: on our list called d F two thousand hydrocarbon solvent. 832 00:45:38,000 --> 00:45:41,400 Speaker 1: This is the one where they're they're using the term organic. 833 00:45:42,040 --> 00:45:45,560 Speaker 1: They're saying this solvent is organic, and that is That 834 00:45:45,640 --> 00:45:47,759 Speaker 1: is where you got to get a little things get 835 00:45:47,800 --> 00:45:51,440 Speaker 1: a little tricky because organic is very much or very 836 00:45:51,520 --> 00:45:55,799 Speaker 1: much can be a greenwashing word. I'm not saying that 837 00:45:55,920 --> 00:45:58,960 Speaker 1: is in this case necessarily, but it can. Okay, well, 838 00:45:58,960 --> 00:46:03,239 Speaker 1: it's very misleading because organic means that it has what 839 00:46:03,800 --> 00:46:06,200 Speaker 1: Green Earth and we're gonna tell about them in a second, 840 00:46:06,400 --> 00:46:08,960 Speaker 1: Green Earth says that just means it has a carbon backbone. Yeah, 841 00:46:09,080 --> 00:46:12,319 Speaker 1: like gasoline is organic. And when you see words like 842 00:46:12,480 --> 00:46:17,520 Speaker 1: organic or biodegradable like that doesn't mean that it's awesome. 843 00:46:17,600 --> 00:46:21,280 Speaker 1: Things can biodegrade into a hazardous substance. Still. 844 00:46:21,560 --> 00:46:25,080 Speaker 2: Yeah. So DF two thousand is produced by Exxon Mobile, 845 00:46:25,239 --> 00:46:28,520 Speaker 2: if that gives you any clarity on whether it's green 846 00:46:28,640 --> 00:46:32,000 Speaker 2: or not. And even the container it looks like a 847 00:46:32,040 --> 00:46:35,839 Speaker 2: five gallon jug of motor oil. Essentially there's I think 848 00:46:35,960 --> 00:46:40,040 Speaker 2: Conico makes their own version whatever, and it's a petroleum 849 00:46:40,080 --> 00:46:42,160 Speaker 2: based solvent just like they used to use back in 850 00:46:42,160 --> 00:46:44,840 Speaker 2: the day where dry cleaners blue up once in a while. 851 00:46:45,520 --> 00:46:48,319 Speaker 2: If you're using a hydrocarbon solvent. You have to have 852 00:46:48,360 --> 00:46:52,800 Speaker 2: an air pollution certificate, and it's cheap, like the machines 853 00:46:52,800 --> 00:46:55,320 Speaker 2: that use them, a way cheaper than a liquid carbon 854 00:46:55,400 --> 00:46:59,960 Speaker 2: dioxide cleaning machine. But currently it's being you know, tow 855 00:47:00,160 --> 00:47:03,680 Speaker 2: it as an organic green alternative, so some people are 856 00:47:03,880 --> 00:47:07,680 Speaker 2: starting to use this, I would guess to their dismay 857 00:47:07,840 --> 00:47:10,239 Speaker 2: five or ten years down the road, because there are 858 00:47:10,320 --> 00:47:15,200 Speaker 2: actual like green alternatives, including liquid carbon dioxide and wet cleaning. 859 00:47:15,880 --> 00:47:18,160 Speaker 1: Yeah. The last one on our list here is a 860 00:47:18,680 --> 00:47:21,920 Speaker 1: silicon based solvents and the biggest it's a brand name. 861 00:47:21,960 --> 00:47:26,560 Speaker 1: The largest brand of green dry cleaning processes is called 862 00:47:26,719 --> 00:47:30,000 Speaker 1: Green Earth all one word but still a capital G, 863 00:47:30,120 --> 00:47:34,840 Speaker 1: capital E, and they use liquid silicone, which is odorless 864 00:47:34,840 --> 00:47:38,880 Speaker 1: and colorless and apparently is a great carrier for detergents. 865 00:47:39,239 --> 00:47:42,200 Speaker 2: Yeah, it's also inert. So remember we said that perk 866 00:47:42,280 --> 00:47:45,280 Speaker 2: can interact with your dyes and stuff and cause fading. 867 00:47:45,560 --> 00:47:48,759 Speaker 2: This stuff does not interact with the fabric itself, not 868 00:47:48,880 --> 00:47:52,359 Speaker 2: chemically at least, so it doesn't It doesn't cause any 869 00:47:52,440 --> 00:47:55,520 Speaker 2: kind of fading or anything like that, and it breaks 870 00:47:55,560 --> 00:47:57,960 Speaker 2: down into sand and water and carbon dioxide when you 871 00:47:58,040 --> 00:48:01,520 Speaker 2: get rid of it, right, Yeah, is is it releases 872 00:48:01,640 --> 00:48:06,399 Speaker 2: dioxin when it's produced. It's a carcinogen, and I saw 873 00:48:06,440 --> 00:48:10,440 Speaker 2: somewhere that it's been shown to be. Siloxane has been 874 00:48:10,480 --> 00:48:16,759 Speaker 2: shown to be carcinogenic in rats and possibly hepatotoxic, which 875 00:48:16,800 --> 00:48:21,799 Speaker 2: means it affects liver function. So this one is very 876 00:48:21,880 --> 00:48:24,440 Speaker 2: much touted as a green alternative, but the jury is 877 00:48:24,480 --> 00:48:28,399 Speaker 2: definitely still out on, you know, whether it's it's non 878 00:48:28,480 --> 00:48:29,239 Speaker 2: toxic or not. 879 00:48:30,239 --> 00:48:32,200 Speaker 1: Yeah, you know, there are actually people in the world. 880 00:48:32,520 --> 00:48:35,560 Speaker 1: I call them that guy that say things like we 881 00:48:35,840 --> 00:48:38,360 Speaker 1: just don't get any rats to work. There problem solved? 882 00:48:38,400 --> 00:48:41,520 Speaker 2: Who says that? Just people show them to me. 883 00:48:42,080 --> 00:48:43,640 Speaker 1: It's like, it's been you know, this has been shown 884 00:48:43,680 --> 00:48:45,640 Speaker 1: to kill rats, and you're like, oh, so don't get 885 00:48:45,640 --> 00:48:46,279 Speaker 1: any rats around. 886 00:48:46,440 --> 00:48:48,560 Speaker 2: I'm with you. It's like, well, hey, how about you 887 00:48:48,600 --> 00:48:50,680 Speaker 2: get a job doing that, working with it? Then if 888 00:48:50,719 --> 00:48:53,480 Speaker 2: you have no problems with it, mister smarty pants. 889 00:48:54,040 --> 00:48:57,799 Speaker 1: So I think we should repeat the CEO too. The 890 00:48:57,880 --> 00:49:02,240 Speaker 1: liquid carbon dioxide cleaning is seems to be the best, 891 00:49:02,440 --> 00:49:06,080 Speaker 1: most green process, but it's just the cost of those machines. 892 00:49:06,080 --> 00:49:07,520 Speaker 1: There's always a downside. 893 00:49:07,239 --> 00:49:10,359 Speaker 2: Yes, there's always a downside. I can't think of any 894 00:49:10,360 --> 00:49:12,040 Speaker 2: wiser words to end this one on. 895 00:49:13,120 --> 00:49:16,080 Speaker 1: I got nothing else, you know. I had to take 896 00:49:16,160 --> 00:49:18,680 Speaker 1: my rug into a dry cleaner not too long ago 897 00:49:18,719 --> 00:49:21,879 Speaker 1: down the street, and they were very nice, even though 898 00:49:21,880 --> 00:49:24,080 Speaker 1: they sent it to a facility and it took far 899 00:49:24,120 --> 00:49:29,360 Speaker 1: too long to correct this the stain on my rug 900 00:49:29,480 --> 00:49:31,839 Speaker 1: in my new studio, and I was very mad because 901 00:49:31,880 --> 00:49:35,120 Speaker 1: it was a brand new I actually wouldn't have stained. 902 00:49:35,120 --> 00:49:38,600 Speaker 1: It had gotten wet and it smelled. It was what's 903 00:49:38,920 --> 00:49:41,120 Speaker 1: like that sour wet smell. 904 00:49:41,080 --> 00:49:42,319 Speaker 2: From being johnsonized. 905 00:49:45,480 --> 00:49:48,880 Speaker 1: Yeah. Listener mail, Yeah, Chuck. 906 00:49:48,719 --> 00:49:50,880 Speaker 2: Said, listener mail everybody, So that means it's time for 907 00:49:51,000 --> 00:49:51,759 Speaker 2: the listener mail. 908 00:49:53,800 --> 00:49:56,920 Speaker 1: This is from Natalie. Hey, guys, I'm a postdoc research 909 00:49:57,040 --> 00:50:06,440 Speaker 1: scientist studying paleoclimatology and paleo oceanography. And that's from Natalie 910 00:50:05,239 --> 00:50:08,759 Speaker 1: the en. You guys always do a great job with 911 00:50:08,800 --> 00:50:12,400 Speaker 1: your Earth science episode. In the recent episode on plate tectonics, 912 00:50:12,440 --> 00:50:14,040 Speaker 1: so it was a bit of a misopportunity though, to 913 00:50:14,120 --> 00:50:17,359 Speaker 1: highlight a cool gal who played a part in the 914 00:50:17,400 --> 00:50:21,600 Speaker 1: acceptance of the theory of plate tectonics, Marie Tharp. She 915 00:50:21,719 --> 00:50:25,200 Speaker 1: created the first world map of the seafloor and discovered 916 00:50:25,560 --> 00:50:27,840 Speaker 1: the giant Mountain range between the Atlantic Ocean that we 917 00:50:27,880 --> 00:50:31,760 Speaker 1: now know is a mid Atlantic range. That's pretty amazing. 918 00:50:31,920 --> 00:50:34,000 Speaker 1: Because she is a woman in science, she had to 919 00:50:34,000 --> 00:50:35,960 Speaker 1: fight a bit of an uphill battle to get her 920 00:50:35,960 --> 00:50:40,359 Speaker 1: work accepted. She talks about how her initial interpretations were 921 00:50:40,400 --> 00:50:44,759 Speaker 1: dismissed as quote girl talk. She's she was confined to 922 00:50:44,800 --> 00:50:47,279 Speaker 1: the background, with her male colleague getting much of the 923 00:50:47,320 --> 00:50:50,319 Speaker 1: credit for her ideas until more recently. Seems like a 924 00:50:50,320 --> 00:50:52,920 Speaker 1: fun person, and Emon mentions how she wanted to include 925 00:50:53,239 --> 00:50:57,360 Speaker 1: mermaids and shipwrecks in the first map, but her colleague 926 00:50:57,360 --> 00:51:01,240 Speaker 1: Bruce Heasen would have none of it. Come on, Bruce, 927 00:51:02,440 --> 00:51:06,120 Speaker 1: that's fun for sure. There's a great photo of her 928 00:51:06,200 --> 00:51:11,360 Speaker 1: looking like a ba smoking a cigarette at her drafting table, 929 00:51:11,800 --> 00:51:13,400 Speaker 1: and that is from Natalie. 930 00:51:13,560 --> 00:51:15,719 Speaker 2: Thanks a Lott. Natalie. Yeah, it's kind of disappointing we 931 00:51:15,719 --> 00:51:17,799 Speaker 2: didn't run across her in our research, but maybe we 932 00:51:17,800 --> 00:51:19,280 Speaker 2: weren't looking in the right places. 933 00:51:19,360 --> 00:51:21,880 Speaker 1: Check well, it sounds like there's a pretty good reason 934 00:51:21,880 --> 00:51:24,200 Speaker 1: for that, So hats off, our beret is off to 935 00:51:24,280 --> 00:51:24,839 Speaker 1: Marie Tharp. 936 00:51:25,400 --> 00:51:28,200 Speaker 2: Marie Tharp, look out for an episode on her. At 937 00:51:28,239 --> 00:51:31,800 Speaker 2: some point in time. Her and our friend Frederick Johnson. 938 00:51:33,360 --> 00:51:34,080 Speaker 1: Gabby Johnson. 939 00:51:34,360 --> 00:51:37,520 Speaker 2: No, not Gabby Johnson. You know the guy who originally 940 00:51:37,520 --> 00:51:43,160 Speaker 2: invented dry cleaning back in eighteen twenty one. Oh, Thomas Jennings. 941 00:51:43,640 --> 00:51:45,760 Speaker 1: Yeah, we should totally do one on Thomas Jennings. 942 00:51:45,760 --> 00:51:47,400 Speaker 2: It was way off with Frederick Johnson. 943 00:51:48,520 --> 00:51:50,560 Speaker 1: That's all right. I think Gabby Johnson can teach you. 944 00:51:51,040 --> 00:51:53,279 Speaker 2: So too well. If you want to get in touch 945 00:51:53,280 --> 00:51:56,320 Speaker 2: with this, like Natalie did, you can send us an email. 946 00:51:56,480 --> 00:52:00,160 Speaker 2: You can send it to stuff podcast at iheartradiot up. 947 00:52:04,480 --> 00:52:07,360 Speaker 1: Stuff you Should Know is a production of iHeartRadio. For 948 00:52:07,440 --> 00:52:11,640 Speaker 1: more podcasts my Heart Radio, visit the iHeartRadio app, Apple Podcasts, 949 00:52:11,760 --> 00:52:13,560 Speaker 1: or wherever you listen to your favorite shows.