1 00:00:03,480 --> 00:00:06,840 Speaker 1: You're listening to part Time Genius, the production of Kaleidoscope 2 00:00:07,040 --> 00:00:12,319 Speaker 1: and iHeartRadio. Guess what Will? 3 00:00:12,400 --> 00:00:15,520 Speaker 2: What's that mango? So you know what's funny? You know 4 00:00:15,560 --> 00:00:19,680 Speaker 2: what's funny. Your headband is funny. But sorry it interrupt 5 00:00:19,720 --> 00:00:20,080 Speaker 2: Go ahead. 6 00:00:20,440 --> 00:00:23,720 Speaker 1: Well, we've been friends for a little over twenty five 7 00:00:23,800 --> 00:00:24,279 Speaker 1: years now. 8 00:00:24,600 --> 00:00:27,280 Speaker 2: I think we actually known each other for twenty seven 9 00:00:27,360 --> 00:00:31,800 Speaker 2: years now, if I'm not mistake, but I said friend, right, gotcha, gotcha. 10 00:00:32,000 --> 00:00:34,519 Speaker 1: But think of all the fun things that have happened 11 00:00:34,640 --> 00:00:37,080 Speaker 1: in the last twenty five years, right, Like this's the 12 00:00:37,159 --> 00:00:40,080 Speaker 1: launch of the iPod, thousands of songs in your pocket. 13 00:00:40,680 --> 00:00:44,960 Speaker 1: Social media exploited with Facebook. People started dancing Gungnam style 14 00:00:45,280 --> 00:00:48,520 Speaker 1: and we're taught how to duggy for some reason. There's 15 00:00:48,680 --> 00:00:52,239 Speaker 1: planking and photos that became a fad, and Lady Gaga 16 00:00:52,240 --> 00:00:54,760 Speaker 1: wore a meat dress to the MTV video War. 17 00:00:54,840 --> 00:00:56,520 Speaker 2: I think that summed it up. I think you actually 18 00:00:56,520 --> 00:00:57,120 Speaker 2: covered everything. 19 00:00:57,200 --> 00:00:59,880 Speaker 1: Yeah, yeah, I mean we also had a block president, 20 00:01:00,080 --> 00:01:03,960 Speaker 1: our first black president, gay marriage became legal, and people 21 00:01:04,040 --> 00:01:08,240 Speaker 1: challenge each other with ice buckets. But for me, everything 22 00:01:08,240 --> 00:01:09,480 Speaker 1: really starts with that meat dress. 23 00:01:09,560 --> 00:01:11,760 Speaker 2: Yeah, and don't forget we launched a little magazine from 24 00:01:11,760 --> 00:01:14,240 Speaker 2: our drm room called Mental Flaws way back in the 25 00:01:14,319 --> 00:01:16,280 Speaker 2: year two thousand. Yeah, I can't believe. 26 00:01:16,120 --> 00:01:18,399 Speaker 1: It's been almost twenty five years since that first issue 27 00:01:18,480 --> 00:01:22,120 Speaker 1: hit newsstands. But this week's super special edition of Part 28 00:01:22,120 --> 00:01:26,520 Speaker 1: Time Genius is all about celebrating this last quarter century. 29 00:01:26,959 --> 00:01:28,840 Speaker 1: Every day this week, we're gonna be counting down the 30 00:01:28,880 --> 00:01:32,600 Speaker 1: twenty five greatest science ideas of the past twenty five years, 31 00:01:32,640 --> 00:01:35,440 Speaker 1: and we are sending out lots of fun prizes to 32 00:01:35,480 --> 00:01:36,280 Speaker 1: our listeners too. 33 00:01:36,800 --> 00:01:38,679 Speaker 2: But I've just got one question for you, mego, why 34 00:01:38,720 --> 00:01:43,120 Speaker 2: are you wearing a velord tracksuit and a homemade headband? Again, 35 00:01:43,319 --> 00:01:45,319 Speaker 2: I don't really understand what's happening. 36 00:01:44,959 --> 00:01:48,640 Speaker 1: Here because I am pump Oh got it, Okay, so 37 00:01:48,720 --> 00:02:05,600 Speaker 1: let's dive in. 38 00:02:07,800 --> 00:02:13,639 Speaker 2: Hey, their podcast listeners, Welcome to Part Time Genius. I'm 39 00:02:13,639 --> 00:02:15,839 Speaker 2: Will Pearson, and of course I'm here with my friend 40 00:02:15,919 --> 00:02:18,520 Speaker 2: Mangesh hot Ticketter and over there attending to what I 41 00:02:18,680 --> 00:02:21,480 Speaker 2: thought was a Bob Ross chia pet but is actually 42 00:02:21,560 --> 00:02:26,240 Speaker 2: a vintage, discontinued Albert Einstein chia pet. Is our pal 43 00:02:26,400 --> 00:02:29,640 Speaker 2: and producer Dylan Fagan and Mengo. I think Einstein with 44 00:02:29,720 --> 00:02:32,400 Speaker 2: sprouts for his hair is exactly the energy we're trying 45 00:02:32,400 --> 00:02:34,400 Speaker 2: to pull for this week's twenty five list. 46 00:02:34,720 --> 00:02:37,400 Speaker 1: Yeah, that's right. Well, so I kind of want to 47 00:02:37,440 --> 00:02:39,840 Speaker 1: start by having you tell our listeners about how we 48 00:02:39,919 --> 00:02:43,200 Speaker 1: became friends, because I was definitely trivia obsessed as a kid. 49 00:02:43,320 --> 00:02:46,359 Speaker 1: I think I've mentioned that when cable came to my 50 00:02:46,360 --> 00:02:49,119 Speaker 1: neighborhood in third grade, my friends and I were obsessed 51 00:02:49,120 --> 00:02:52,240 Speaker 1: with doubledare and every day in the summer we would 52 00:02:52,240 --> 00:02:55,000 Speaker 1: practice drilling each other with trivia questions and setting up 53 00:02:55,040 --> 00:02:57,840 Speaker 1: these challenges all over our houses and the creek in 54 00:02:57,880 --> 00:03:00,880 Speaker 1: the backyard, and you know, we're just trying to get 55 00:03:00,880 --> 00:03:03,120 Speaker 1: ourselves physically prepped for this thing. We want to be 56 00:03:03,200 --> 00:03:05,480 Speaker 1: ready in case a producer just called us up to 57 00:03:05,480 --> 00:03:08,760 Speaker 1: be on the show. Yeah, but you were obviously obsessed 58 00:03:08,800 --> 00:03:11,160 Speaker 1: with lists. I was very much obsessed with lists. I 59 00:03:11,160 --> 00:03:14,560 Speaker 1: think this started when I was probably eleven or twelve 60 00:03:14,639 --> 00:03:15,160 Speaker 1: years old. 61 00:03:15,320 --> 00:03:18,960 Speaker 2: I just love making lists. They all started as pretty basic. 62 00:03:19,000 --> 00:03:21,400 Speaker 2: It's like, here's my list of presidents, here's my list 63 00:03:21,400 --> 00:03:24,440 Speaker 2: of state capitals. And then it got a little weirder 64 00:03:24,480 --> 00:03:26,360 Speaker 2: over the years. It was like, here's a list of 65 00:03:26,360 --> 00:03:30,760 Speaker 2: my favorite left handed artists and favorite you know books 66 00:03:30,800 --> 00:03:33,400 Speaker 2: with more than four hundred pages or whatever it might 67 00:03:33,400 --> 00:03:35,440 Speaker 2: have been. It was just fun to keep lists, and 68 00:03:35,440 --> 00:03:38,000 Speaker 2: people would ask like, why do you do this, and 69 00:03:38,160 --> 00:03:41,040 Speaker 2: I didn't really know the answer, other than it just 70 00:03:41,080 --> 00:03:43,760 Speaker 2: felt good to collect this information, you know, and to 71 00:03:43,880 --> 00:03:46,839 Speaker 2: just know this information, So anyway was what I did. 72 00:03:47,200 --> 00:03:49,560 Speaker 1: I love it, and so when we started Mental Fluss, 73 00:03:49,560 --> 00:03:52,640 Speaker 1: we were definitely list obsessed. And one of my favorite 74 00:03:52,680 --> 00:03:56,040 Speaker 1: annual things that we do was we would declare the 75 00:03:56,080 --> 00:03:58,520 Speaker 1: most important books of the last twenty five years for 76 00:03:58,560 --> 00:04:00,560 Speaker 1: the most important music of the last time five years 77 00:04:00,600 --> 00:04:03,560 Speaker 1: of TV shows, And the lists were always so fun 78 00:04:03,800 --> 00:04:07,240 Speaker 1: and totally unexpected. You came away just appreciating all these 79 00:04:07,320 --> 00:04:10,160 Speaker 1: other amazing things. I don't know about you, but I 80 00:04:10,200 --> 00:04:11,680 Speaker 1: think for me, part of the reason I wanted to 81 00:04:11,680 --> 00:04:14,880 Speaker 1: do a big science list this week was because right now, 82 00:04:15,000 --> 00:04:17,400 Speaker 1: you know, there's so much talk about AI and gene 83 00:04:17,400 --> 00:04:21,640 Speaker 1: therapies and those kind of dominate the headlines. Yeah, but 84 00:04:22,400 --> 00:04:25,320 Speaker 1: I also love the weird, fun inventions and and kind 85 00:04:25,400 --> 00:04:29,200 Speaker 1: of the joy of Obama at the Science Fair shooting 86 00:04:29,279 --> 00:04:32,479 Speaker 1: rockets and things. And you know, science is obviously nerdy, 87 00:04:32,600 --> 00:04:36,599 Speaker 1: but it's also cool and weird and fun, and I 88 00:04:36,600 --> 00:04:38,599 Speaker 1: thought it would be just really fun to celebrate it. 89 00:04:38,680 --> 00:04:40,840 Speaker 2: That sounds good, but I feel like before we dive in, 90 00:04:40,960 --> 00:04:44,760 Speaker 2: we really have to talk about the process and everything 91 00:04:44,800 --> 00:04:47,560 Speaker 2: that goes into how we choose a list like this. 92 00:04:47,720 --> 00:04:50,000 Speaker 2: So before we jump in, do you want to start 93 00:04:50,000 --> 00:04:52,440 Speaker 2: by giving a little rationale of how we chose all 94 00:04:52,480 --> 00:04:53,120 Speaker 2: of these things? 95 00:04:53,360 --> 00:04:56,880 Speaker 1: Yeah, totally so, Gabe, Mary, our friend Lucas Riley. They 96 00:04:56,920 --> 00:04:59,480 Speaker 1: helped us look up a whole bunch of ideas and 97 00:04:59,520 --> 00:05:02,720 Speaker 1: then we pare them down to things that truly delighted 98 00:05:02,880 --> 00:05:06,520 Speaker 1: or impressed us. Ideally both of those things. And then 99 00:05:06,560 --> 00:05:08,880 Speaker 1: you and I picked a bunch and researched some more. 100 00:05:08,960 --> 00:05:10,719 Speaker 1: And now's the fun part where we get to like 101 00:05:10,800 --> 00:05:14,760 Speaker 1: take turns presenting the ideas. Plus we are sending part 102 00:05:14,760 --> 00:05:17,680 Speaker 1: time genius certificates to all of the winners, which they 103 00:05:17,720 --> 00:05:18,800 Speaker 1: can put on their. 104 00:05:18,720 --> 00:05:20,480 Speaker 2: Refrigerators, all of the winners. 105 00:05:20,560 --> 00:05:24,599 Speaker 1: Yeah, and also atomic fireballs, the most sciencey candy we 106 00:05:24,600 --> 00:05:27,039 Speaker 1: could find in honor of this week's Signs special. 107 00:05:27,360 --> 00:05:30,440 Speaker 2: You know, it's funny that we're choosing fireballs because, as 108 00:05:30,520 --> 00:05:32,800 Speaker 2: my kids know, I love fireballs. So we have this 109 00:05:32,880 --> 00:05:36,479 Speaker 2: special cabinet at our house just outside the kitchen called 110 00:05:36,480 --> 00:05:40,240 Speaker 2: the Center of Excellence, and it's basically where all of 111 00:05:40,279 --> 00:05:43,440 Speaker 2: my candy obsessions get to be stored because I'll fall 112 00:05:43,480 --> 00:05:44,839 Speaker 2: in love with the candy. We were at a great 113 00:05:44,880 --> 00:05:47,320 Speaker 2: sushi restaurant and I love the little treats they bring 114 00:05:47,360 --> 00:05:49,520 Speaker 2: you at the end of it, and I decided I 115 00:05:49,600 --> 00:05:52,120 Speaker 2: needed to order those in bulk. I ordered some atomic 116 00:05:52,200 --> 00:05:54,120 Speaker 2: fireballs in bulk, and then I move on to the 117 00:05:54,120 --> 00:05:56,160 Speaker 2: next thing, but we just keep them in that collection. 118 00:05:56,320 --> 00:05:59,320 Speaker 2: So it's a big prize, and we're giving out prizes 119 00:05:59,720 --> 00:06:01,200 Speaker 2: on our insta all week as well. 120 00:06:01,279 --> 00:06:04,320 Speaker 1: Right, Yeah, so Mary is running contest for us all 121 00:06:04,360 --> 00:06:07,120 Speaker 1: week and has a bunch of ridiculous swag to send out. 122 00:06:07,440 --> 00:06:10,000 Speaker 1: She and the person who manages our social media, our 123 00:06:10,040 --> 00:06:13,320 Speaker 1: friend Calypso. So after you listen, head over to our 124 00:06:13,320 --> 00:06:17,040 Speaker 1: Instagram handle at part Time Genius and go win some stuff. 125 00:06:17,040 --> 00:06:19,839 Speaker 1: Were to send it out, but that is way too 126 00:06:19,920 --> 00:06:21,480 Speaker 1: much set up. Let's just get into. 127 00:06:21,400 --> 00:06:25,520 Speaker 2: It all right, Okay, So don't let the number fool you. 128 00:06:25,600 --> 00:06:28,200 Speaker 2: Our list is kicking off with an innovation that happens 129 00:06:28,200 --> 00:06:31,320 Speaker 2: to tackle one of the biggest problems in all of society, 130 00:06:31,560 --> 00:06:34,839 Speaker 2: and that is how to get ketchup out of a bottle. Now, 131 00:06:34,880 --> 00:06:37,000 Speaker 2: as we all know, there is nothing more frustrating than 132 00:06:37,000 --> 00:06:39,239 Speaker 2: holding a ketchup bottle at a forty five degree angle 133 00:06:39,320 --> 00:06:43,400 Speaker 2: over your food, shaking it vigorously and having absolutely nothing 134 00:06:43,520 --> 00:06:46,400 Speaker 2: come out. And for years there were only two solutions. 135 00:06:46,640 --> 00:06:48,479 Speaker 2: People would jam a knife in a bottle. I feel 136 00:06:48,480 --> 00:06:50,479 Speaker 2: like you don't see that as much anymore, remember jamming 137 00:06:50,480 --> 00:06:52,520 Speaker 2: as a kid. I feel like people just would put 138 00:06:52,560 --> 00:06:54,200 Speaker 2: that knife in there and then give it a stir 139 00:06:54,279 --> 00:06:57,280 Speaker 2: and they hope the ketchup would start flowing. Also, there's 140 00:06:57,360 --> 00:06:59,760 Speaker 2: the smack the number trick, where people figured out that 141 00:06:59,760 --> 00:07:01,800 Speaker 2: if you give the number fifty seven on the side 142 00:07:01,800 --> 00:07:04,080 Speaker 2: of a glass bottle of hinds a nice wallap, it 143 00:07:04,120 --> 00:07:07,400 Speaker 2: would get the ketchup moving. But of course the problem 144 00:07:07,440 --> 00:07:09,520 Speaker 2: with both of those is that you could end up 145 00:07:09,560 --> 00:07:11,720 Speaker 2: with way too much ketchup on your fries. 146 00:07:12,120 --> 00:07:15,360 Speaker 1: Yeah, it's kind of a ketchup conundrum that we've all experienced. 147 00:07:15,400 --> 00:07:17,960 Speaker 2: It's exactly right, and one of the biggest leaps forward 148 00:07:18,000 --> 00:07:20,400 Speaker 2: for all of humanity and our quest board an appropriate 149 00:07:20,440 --> 00:07:23,800 Speaker 2: amount of ketchup was the upside down ketchup bottle. 150 00:07:23,880 --> 00:07:27,360 Speaker 1: Right, so you are obviously talking about the ketchup bottles 151 00:07:27,400 --> 00:07:29,960 Speaker 1: where the dispenser is on the bottom and it's sitting 152 00:07:29,960 --> 00:07:31,760 Speaker 1: on there and the gravity is just kind of pulling 153 00:07:31,760 --> 00:07:32,080 Speaker 1: it down. 154 00:07:32,160 --> 00:07:35,520 Speaker 2: Right, that's exactly right. That bottle, or rather the valve 155 00:07:35,760 --> 00:07:39,480 Speaker 2: in it, was invented by a gentleman named Paul Brown. Now, 156 00:07:39,480 --> 00:07:42,120 Speaker 2: his idea wasn't specifically for ketchup. He just thought a 157 00:07:42,160 --> 00:07:45,360 Speaker 2: better valve would work for most liquids, from dish detergent 158 00:07:45,440 --> 00:07:48,400 Speaker 2: to hand sanitizers to whatever it may be. This is 159 00:07:48,440 --> 00:07:51,080 Speaker 2: in the nineteen nineties, so Paul Brown had this dream, 160 00:07:51,360 --> 00:07:53,920 Speaker 2: but he really struggled to make it a reality. He 161 00:07:53,960 --> 00:07:57,760 Speaker 2: made one hundred and eleven different prototypes, Wow, maxed out 162 00:07:57,760 --> 00:08:00,640 Speaker 2: a bunch of credit cards, borrowed money from his folks 163 00:08:00,640 --> 00:08:03,920 Speaker 2: to you know, make a better valve for dispensing liquid. 164 00:08:04,320 --> 00:08:07,040 Speaker 2: And while trying to make this valve, like, what was 165 00:08:07,080 --> 00:08:09,520 Speaker 2: he trying to solve for exactly Well, he realized that 166 00:08:09,560 --> 00:08:12,239 Speaker 2: to make a better squeeze bottle, you wanted the nozzle 167 00:08:12,320 --> 00:08:14,760 Speaker 2: to open when you place pressure on it, but then 168 00:08:14,800 --> 00:08:17,440 Speaker 2: you need it to completely close up when the pressure 169 00:08:17,520 --> 00:08:20,920 Speaker 2: is removed, so there's no accidental leaking from this Anyway, 170 00:08:20,920 --> 00:08:25,160 Speaker 2: After years of failures, his one hundred and twelfth prototype work, 171 00:08:25,440 --> 00:08:28,720 Speaker 2: and once he'd perfected his valve, everyone came calling in, 172 00:08:28,720 --> 00:08:31,280 Speaker 2: including NASA, who saw I used for the valve in 173 00:08:31,360 --> 00:08:34,520 Speaker 2: space and was trying to make leak proof cups for astronauts. 174 00:08:34,559 --> 00:08:37,560 Speaker 2: Wow shampoo bottlers who wanted a more convenient bottle for 175 00:08:37,600 --> 00:08:40,679 Speaker 2: their soaps and shampoos also came calling on him as well, 176 00:08:40,960 --> 00:08:44,040 Speaker 2: and eventually, after he pitched it to Hines, they saw 177 00:08:44,080 --> 00:08:47,520 Speaker 2: his innovation as part of a catch up revolution. They 178 00:08:47,520 --> 00:08:51,120 Speaker 2: started this ad campaign about the quote waiting man, where 179 00:08:51,120 --> 00:08:53,760 Speaker 2: a guy is just sitting and holding a glass ketchup 180 00:08:53,800 --> 00:08:57,200 Speaker 2: bottle vertically over his meal and nothing is moving or 181 00:08:57,240 --> 00:09:00,600 Speaker 2: happening for like twenty seconds, and then is why comes over, 182 00:09:00,920 --> 00:09:03,920 Speaker 2: squeezes the perfect amount of ketchup onto his food and 183 00:09:04,000 --> 00:09:06,959 Speaker 2: solves the problem in a second. And the ad slogan 184 00:09:07,200 --> 00:09:10,240 Speaker 2: was quote no weight, no mess, no anticipation. 185 00:09:11,040 --> 00:09:13,640 Speaker 1: It is so funny that as a society we are 186 00:09:13,760 --> 00:09:17,680 Speaker 1: so impatient that we need our ketchup immediately. Yeah, it's 187 00:09:17,880 --> 00:09:18,640 Speaker 1: just a condiment. 188 00:09:18,760 --> 00:09:21,320 Speaker 2: I don't know why you're you really don't get it. 189 00:09:21,320 --> 00:09:23,920 Speaker 2: It's super important that we get it quickly. But I 190 00:09:24,000 --> 00:09:25,880 Speaker 2: was actually thinking this too, to be honest, until I 191 00:09:25,920 --> 00:09:28,600 Speaker 2: read this Malcolm Gladwell piece on ketchup, and this was 192 00:09:28,880 --> 00:09:30,640 Speaker 2: a piece that he wrote for The New Yorker, and 193 00:09:30,679 --> 00:09:33,360 Speaker 2: in it he quotes a food professor who calls ketchup 194 00:09:33,679 --> 00:09:36,920 Speaker 2: the Esperanto of cuisine because it's one of the few 195 00:09:36,960 --> 00:09:41,320 Speaker 2: foods that satisfies your cravings for salty, sweet, sour, bitter, 196 00:09:41,720 --> 00:09:43,880 Speaker 2: and dow mommy all at once. If you think about it, 197 00:09:43,960 --> 00:09:46,520 Speaker 2: that's that's actually true, and that's part of the reason 198 00:09:46,520 --> 00:09:49,120 Speaker 2: the world loves ketchup so much. But back to Brown. 199 00:09:49,440 --> 00:09:51,800 Speaker 2: According to the patent professor, this is a website on 200 00:09:51,840 --> 00:09:55,560 Speaker 2: inventors and patents. Today, about seventy five percent of Hinz 201 00:09:55,559 --> 00:09:58,760 Speaker 2: bottles that are sold are upside down squeeze bottles now, 202 00:09:58,840 --> 00:10:00,960 Speaker 2: And it wasn't long before Brown paid off his credit 203 00:10:01,000 --> 00:10:03,760 Speaker 2: cards and paid his parents back. Of course, I. 204 00:10:03,720 --> 00:10:06,720 Speaker 1: Mean, I do love this, but this invention is from 205 00:10:06,760 --> 00:10:09,680 Speaker 1: the nineteen nineties, right, so like it doesn't quite make 206 00:10:09,720 --> 00:10:10,880 Speaker 1: the twenty five year cut off. 207 00:10:10,920 --> 00:10:12,440 Speaker 2: Lit. I thought you were going to call me out 208 00:10:12,480 --> 00:10:14,920 Speaker 2: for that, but I'm actually not done yet. So all 209 00:10:15,000 --> 00:10:18,760 Speaker 2: of those lay the groundwork for the quote problem of ketchup. 210 00:10:18,840 --> 00:10:20,200 Speaker 1: Look at me being impatient. 211 00:10:20,320 --> 00:10:23,679 Speaker 2: Yeah, you're doing that. But even though Paul Brown Squeeze 212 00:10:23,679 --> 00:10:26,600 Speaker 2: bottle valve helped us get much more ketchup out of bottles, 213 00:10:26,600 --> 00:10:29,439 Speaker 2: the truth is it's hard to get the last bits 214 00:10:29,480 --> 00:10:32,040 Speaker 2: of ketchup out of there, and that means there's a 215 00:10:32,120 --> 00:10:34,760 Speaker 2: lot of food wasts. But that's where some grad students 216 00:10:34,800 --> 00:10:38,120 Speaker 2: from MIT came in. In twenty twelve, that is, within 217 00:10:38,160 --> 00:10:41,360 Speaker 2: the last twenty five years here a PhD candidate named 218 00:10:41,440 --> 00:10:45,240 Speaker 2: Dave Smith and a team of mechanical engineers and nanotechnologists 219 00:10:45,559 --> 00:10:49,880 Speaker 2: at MIT's Varnacy Research Group had been working on various 220 00:10:49,920 --> 00:10:53,000 Speaker 2: lubricants and coatings to solve various issues. So they were 221 00:10:53,000 --> 00:10:56,000 Speaker 2: tackling things like how to coat an oil or gas 222 00:10:56,040 --> 00:10:58,640 Speaker 2: line so that there's no clogs, or how to cote 223 00:10:58,640 --> 00:11:01,000 Speaker 2: a windshield so that the water doesn't collect on it 224 00:11:01,040 --> 00:11:03,920 Speaker 2: and is more easily pushed off by your wipers. But 225 00:11:04,000 --> 00:11:06,360 Speaker 2: then they started wondering what would happen if they applied 226 00:11:06,400 --> 00:11:09,600 Speaker 2: some of their technology to consumer packaging. I think the 227 00:11:09,640 --> 00:11:12,280 Speaker 2: idea started with the frustration of getting honey out of 228 00:11:12,280 --> 00:11:14,160 Speaker 2: a bottle, you know, because there's still so much in 229 00:11:14,200 --> 00:11:15,160 Speaker 2: there at that point. 230 00:11:15,240 --> 00:11:18,880 Speaker 1: Yeah, I mean it's obviously annoying, but why were they 231 00:11:18,920 --> 00:11:21,040 Speaker 1: putting all this technology towards food bottles. 232 00:11:21,120 --> 00:11:23,360 Speaker 2: Well, according to Fast Company, that's one of the questions 233 00:11:23,440 --> 00:11:26,040 Speaker 2: they got asked the most. And the answer is that 234 00:11:26,120 --> 00:11:29,079 Speaker 2: the market for bottles and I'm just talking sauce bottles 235 00:11:29,080 --> 00:11:32,719 Speaker 2: here is a seventeen billion dollar market and if you 236 00:11:32,720 --> 00:11:35,400 Speaker 2: could solve food waste there, you could basically save a 237 00:11:35,520 --> 00:11:38,200 Speaker 2: million tons of food from being thrown out every single year. 238 00:11:38,240 --> 00:11:39,160 Speaker 1: That's pretty incredible. 239 00:11:39,240 --> 00:11:42,600 Speaker 2: Yeah, So they created this coating called liquid glide, and 240 00:11:42,640 --> 00:11:45,240 Speaker 2: it's really miraculous. Like if you watch the videos, the 241 00:11:45,320 --> 00:11:47,880 Speaker 2: Ketchup flows out of the bottle almost like a liquid 242 00:11:47,960 --> 00:11:51,280 Speaker 2: with nothing left in the bottle. As Professor Krippa Varnasi 243 00:11:51,360 --> 00:11:55,040 Speaker 2: puts it, there's this fundamental friction constraint called no slip 244 00:11:55,120 --> 00:11:58,120 Speaker 2: boundary condition between a liquid and a solid. And so 245 00:11:58,200 --> 00:12:01,040 Speaker 2: because they basically created a new surface for the liquid 246 00:12:01,040 --> 00:12:03,360 Speaker 2: to move on, you can get the product to slide 247 00:12:03,360 --> 00:12:06,080 Speaker 2: across the surface. And so he continues describing this. He 248 00:12:06,120 --> 00:12:08,640 Speaker 2: says that, Aha, moment that we could get around a 249 00:12:08,679 --> 00:12:11,079 Speaker 2: fundamental constraint of fluid dynamics. 250 00:12:11,760 --> 00:12:15,240 Speaker 1: That's really cool that they can take this like uncooperative 251 00:12:15,440 --> 00:12:17,959 Speaker 1: fluid like Ketchup and just make a glide out. 252 00:12:18,080 --> 00:12:21,040 Speaker 2: Yeah, and all the applications for this are actually pretty crazy. 253 00:12:21,240 --> 00:12:23,720 Speaker 2: It isn't just ketchup or honey that it affects suddenly, 254 00:12:23,760 --> 00:12:26,200 Speaker 2: Like you can get toothpaste out of a tube more effectively, 255 00:12:26,320 --> 00:12:29,600 Speaker 2: which makes that recyclable. You can use variations on medical 256 00:12:29,640 --> 00:12:32,440 Speaker 2: devices to get essential fluids out of bags like. It's 257 00:12:32,480 --> 00:12:33,360 Speaker 2: really remarkable. 258 00:12:33,800 --> 00:12:37,320 Speaker 1: I love that. So, of course, congratulations, doctor Varnossi and 259 00:12:37,360 --> 00:12:39,720 Speaker 1: team will be sending you a part time genius certificate 260 00:12:39,720 --> 00:12:43,200 Speaker 1: for your achievement and a handful of atomic fireballs for 261 00:12:43,280 --> 00:12:44,199 Speaker 1: your important work. 262 00:12:44,559 --> 00:12:47,680 Speaker 2: Such a great price, right. 263 00:12:48,920 --> 00:12:51,760 Speaker 1: So, sitting at number twenty four is a pretty whimsical 264 00:12:51,760 --> 00:12:54,199 Speaker 1: invention that maybe means more to me than it means 265 00:12:54,160 --> 00:12:57,840 Speaker 1: to you. It is a floating hot tub boat invented 266 00:12:57,880 --> 00:13:01,840 Speaker 1: in Finland called the hot tug, which sounds a little dirty, 267 00:13:01,880 --> 00:13:04,679 Speaker 1: but this loading tub is actually really wonderful. 268 00:13:04,920 --> 00:13:06,840 Speaker 2: And there's this story about why you like hot tubs 269 00:13:06,840 --> 00:13:08,640 Speaker 2: so much. I'm guessing I mean, to. 270 00:13:08,600 --> 00:13:11,760 Speaker 1: Be clear, I do like hot tubs in the appropriate context. 271 00:13:12,200 --> 00:13:14,120 Speaker 1: My friend Dave is a hot tub behind his place 272 00:13:14,160 --> 00:13:15,960 Speaker 1: in Idaho, and you can sit out there when it's 273 00:13:15,960 --> 00:13:18,360 Speaker 1: snowing and look at the Grand Tetons behind you, and 274 00:13:18,440 --> 00:13:21,719 Speaker 1: that is incredible. But also there was one time when 275 00:13:21,720 --> 00:13:23,320 Speaker 1: I was on a work trip and I showed up 276 00:13:23,320 --> 00:13:26,240 Speaker 1: at a hotel room in a dicey neighborhood that had 277 00:13:26,240 --> 00:13:28,040 Speaker 1: been booked for me, and there was a giant hot 278 00:13:28,040 --> 00:13:30,199 Speaker 1: tub in the middle of the hotel room, and that 279 00:13:30,400 --> 00:13:31,240 Speaker 1: was less appeeling. 280 00:13:31,440 --> 00:13:33,280 Speaker 2: Yeah, I could see maybe avoiding that. 281 00:13:34,000 --> 00:13:36,840 Speaker 1: But as you might know, I hate cold water. And 282 00:13:36,880 --> 00:13:38,440 Speaker 1: part of the reason is that when I was on 283 00:13:38,480 --> 00:13:40,520 Speaker 1: my study of broad trip, and this is so many 284 00:13:40,600 --> 00:13:43,920 Speaker 1: years ago in Tibet, we were hunting for this anthropological 285 00:13:43,960 --> 00:13:48,440 Speaker 1: evidence of a semi nomadic civilization, and there hadn't been 286 00:13:48,440 --> 00:13:50,320 Speaker 1: a lot of study done in this region of Tibet. 287 00:13:50,480 --> 00:13:54,360 Speaker 1: It was pretty pristine and hard for academics to get 288 00:13:54,400 --> 00:13:57,320 Speaker 1: to anyway, my friends and I saw these hots that 289 00:13:57,360 --> 00:13:59,440 Speaker 1: were set up across this little river, and we knew 290 00:13:59,440 --> 00:14:01,320 Speaker 1: we wanted to get to it, and there was a 291 00:14:01,360 --> 00:14:03,960 Speaker 1: bridge about two hours up one way and one hour 292 00:14:04,000 --> 00:14:06,440 Speaker 1: down the other way, and so my friends were like, 293 00:14:06,480 --> 00:14:09,520 Speaker 1: we should probably just cross this river. And to be clear, 294 00:14:09,679 --> 00:14:11,280 Speaker 1: there was snow on the ground at the time and 295 00:14:11,320 --> 00:14:14,200 Speaker 1: the water was ice cold, and we didn't want to 296 00:14:14,200 --> 00:14:16,920 Speaker 1: get our clothes wet, so basically we got naked and 297 00:14:16,960 --> 00:14:19,080 Speaker 1: cross this thing so we'd have dry clothes on the 298 00:14:19,080 --> 00:14:21,960 Speaker 1: other side. And I just remember getting up to my 299 00:14:22,000 --> 00:14:24,520 Speaker 1: ankles and being like, I've never been this cold, and 300 00:14:24,600 --> 00:14:26,200 Speaker 1: then getting up to my knees and being like I've 301 00:14:26,200 --> 00:14:28,520 Speaker 1: never been this cold, and then getting to my waist. 302 00:14:28,880 --> 00:14:31,880 Speaker 1: But the current was also crazy strong, and I almost 303 00:14:31,880 --> 00:14:34,600 Speaker 1: slipped out some moss and somehow caught myself with the 304 00:14:34,640 --> 00:14:38,680 Speaker 1: stick and it was miserable. But I just remember being 305 00:14:38,720 --> 00:14:42,120 Speaker 1: so cold for so long, and the worst part was 306 00:14:42,200 --> 00:14:44,320 Speaker 1: the huts weren't any big discovery, so it was just 307 00:14:44,360 --> 00:14:49,360 Speaker 1: like a normal settlement. But I was very angry, and 308 00:14:49,520 --> 00:14:51,600 Speaker 1: since then I don't really go in cold water, but 309 00:14:52,200 --> 00:14:54,480 Speaker 1: I will go in hot water, and that's where the 310 00:14:54,520 --> 00:14:55,400 Speaker 1: hot tug comes in. 311 00:14:55,480 --> 00:14:57,760 Speaker 2: Wow, I'm with you on the cold water. I don't 312 00:14:57,840 --> 00:15:00,440 Speaker 2: understand people that can do the cold plunge thing. It's 313 00:15:00,520 --> 00:15:02,640 Speaker 2: just I don't get it. But anyway, tell me more 314 00:15:02,680 --> 00:15:03,560 Speaker 2: about this invention. 315 00:15:03,760 --> 00:15:06,960 Speaker 1: So it is the brainchild of a Dutch furniture designer. 316 00:15:07,000 --> 00:15:09,880 Speaker 1: His name is Frank de Bruyne. And it's not just 317 00:15:09,920 --> 00:15:12,400 Speaker 1: a barrel with heat under it. So this thing is 318 00:15:12,440 --> 00:15:16,680 Speaker 1: a beautiful two thousand liter eight seater jacuzzi boat. And 319 00:15:17,040 --> 00:15:19,680 Speaker 1: according to an interview with the New York Post, Jabrun 320 00:15:19,720 --> 00:15:22,240 Speaker 1: actually grew up on a barge where his parents were skippers, 321 00:15:22,480 --> 00:15:25,920 Speaker 1: and he'd always loved campfires and nature and looking up 322 00:15:25,920 --> 00:15:28,480 Speaker 1: at the stars. And at some point he wondered, like, 323 00:15:28,800 --> 00:15:31,040 Speaker 1: what if you could have a mobile hot tub, like 324 00:15:31,120 --> 00:15:32,960 Speaker 1: not just something that was parked in your backyard, but 325 00:15:33,040 --> 00:15:35,440 Speaker 1: something that would allow you to float out wherever you were, 326 00:15:36,120 --> 00:15:38,560 Speaker 1: and that could be on a lake or a fjord. 327 00:15:38,800 --> 00:15:41,680 Speaker 1: And so he created this boat with an electric motor, 328 00:15:41,920 --> 00:15:45,160 Speaker 1: so it is entirely quiet for the nature aspect, but 329 00:15:45,360 --> 00:15:49,480 Speaker 1: the hot tub contraption is also entirely stable, so you 330 00:15:49,480 --> 00:15:51,320 Speaker 1: can sit in the hot tub and then stand up 331 00:15:51,320 --> 00:15:54,239 Speaker 1: and dive off the side into like a crisp, refreshing 332 00:15:54,320 --> 00:15:56,800 Speaker 1: lake and you won't tip anything over. To me, it 333 00:15:56,840 --> 00:15:59,000 Speaker 1: feels like a really beautiful way to float your way 334 00:15:59,040 --> 00:16:02,720 Speaker 1: through a cold land escape. Like imagine being in one 335 00:16:02,720 --> 00:16:05,320 Speaker 1: of these off the coast of Alaska or in the 336 00:16:05,360 --> 00:16:08,680 Speaker 1: Pacific Northwest, And that's kind of de Bruyn's dream too. 337 00:16:09,400 --> 00:16:11,920 Speaker 1: Right now, the hot tubs are cost prohibitive. They run 338 00:16:11,960 --> 00:16:15,280 Speaker 1: about fifteen thousand to twenty thousand dollars. But his hope 339 00:16:15,320 --> 00:16:18,000 Speaker 1: is that national parks and cities will buy fleets of 340 00:16:18,040 --> 00:16:20,240 Speaker 1: these things and then rent them out to people like me, 341 00:16:20,520 --> 00:16:23,520 Speaker 1: you know, tourists who hate the cold but love nature. 342 00:16:23,640 --> 00:16:27,920 Speaker 2: That sounds pretty awesome. I'm on board, Mango. The next 343 00:16:27,960 --> 00:16:29,960 Speaker 2: one for me is a discovery that deals with one 344 00:16:29,960 --> 00:16:35,040 Speaker 2: of my biggest pet peeves. Tangled headphones and chords so frustrating. 345 00:16:35,520 --> 00:16:38,240 Speaker 2: And this comes from a British scientist named Robert Matthews 346 00:16:38,240 --> 00:16:41,080 Speaker 2: from Aston University. So over the years, people have tried 347 00:16:41,080 --> 00:16:43,280 Speaker 2: to deal with knots in tons of ways. You can 348 00:16:43,360 --> 00:16:47,160 Speaker 2: very carefully coil up chords using special reels. They're actually 349 00:16:47,160 --> 00:16:49,960 Speaker 2: a ton of anti nodding gadgets out there. But Robert 350 00:16:50,000 --> 00:16:54,800 Speaker 2: Matthews developed a mathematical theory which has an incredibly simple answer. 351 00:16:55,240 --> 00:16:58,400 Speaker 2: According to his loop conjecture, one of the easiest things 352 00:16:58,440 --> 00:17:00,440 Speaker 2: you can do is clip the ends of a chord 353 00:17:00,480 --> 00:17:04,000 Speaker 2: together to form a loop. Based on his mathematical models, 354 00:17:04,040 --> 00:17:07,480 Speaker 2: forming a simple loop produces a tenfold reduction in the 355 00:17:07,560 --> 00:17:10,480 Speaker 2: risk of knots forming in the headphone course. That's amazing, 356 00:17:10,760 --> 00:17:13,320 Speaker 2: But what's also sweet about his theory is that Matthews 357 00:17:13,400 --> 00:17:16,720 Speaker 2: organized something called the British not Experiment, where, according to 358 00:17:16,760 --> 00:17:19,480 Speaker 2: Science Daily, kids at schools across the country looked at 359 00:17:19,520 --> 00:17:23,560 Speaker 2: this phenomena with quote various cord thickness, rigidity, and other 360 00:17:23,640 --> 00:17:26,120 Speaker 2: parameters likely to affect nodding risk. 361 00:17:27,560 --> 00:17:30,320 Speaker 1: I mean, tangled chords are definitely one of my biggest 362 00:17:30,320 --> 00:17:33,480 Speaker 1: pet peeves, and every year I try so many different 363 00:17:33,480 --> 00:17:36,639 Speaker 1: ways to make sure that my Christmas lights don't get 364 00:17:36,680 --> 00:17:39,720 Speaker 1: tangled or chords don't get tangled. And I'm just kind 365 00:17:39,720 --> 00:17:41,879 Speaker 1: of fascinated by this idea that if you just loop 366 00:17:41,960 --> 00:17:43,760 Speaker 1: the chords, it solves the issue. 367 00:17:43,880 --> 00:17:46,240 Speaker 2: Yeah, And Matthews points out that even though it feels 368 00:17:46,240 --> 00:17:50,280 Speaker 2: trivial in nature, quote, the phenomena of spontaneous nodding is 369 00:17:50,320 --> 00:17:53,760 Speaker 2: of great significance in other areas, including polymer chemistry and 370 00:17:53,800 --> 00:17:57,480 Speaker 2: molecular biology. Like if you consider there's over a meter 371 00:17:57,600 --> 00:18:00,479 Speaker 2: of DNA crammed into every one of our selves, and 372 00:18:00,520 --> 00:18:03,919 Speaker 2: any knots can dramatically increase the risk of genetic malfunction, 373 00:18:04,560 --> 00:18:06,840 Speaker 2: you can see how there might be some really interesting 374 00:18:06,880 --> 00:18:10,600 Speaker 2: applications there, Like Matthew's points to some anti cancer drugs 375 00:18:10,600 --> 00:18:13,960 Speaker 2: that work by affecting not formation. And cancer cells, and 376 00:18:14,000 --> 00:18:16,560 Speaker 2: he's hoping that the loop conjecture can lead to new 377 00:18:16,600 --> 00:18:18,120 Speaker 2: approaches in drug design. 378 00:18:18,520 --> 00:18:21,639 Speaker 1: That's amazing that you can tackle something that's annoying like 379 00:18:21,880 --> 00:18:24,160 Speaker 1: headphones and it solves genetic problem. 380 00:18:24,200 --> 00:18:26,240 Speaker 2: Yeah, something almost as important like cancer. 381 00:18:26,480 --> 00:18:30,160 Speaker 1: Right, Yeah, well that is pretty awesome. I know we've 382 00:18:30,160 --> 00:18:34,119 Speaker 1: got lots more to cover, from space perfumes to bird esthetics, 383 00:18:34,200 --> 00:18:36,239 Speaker 1: but before we get to any of that, let's take 384 00:18:36,280 --> 00:18:39,360 Speaker 1: a quick break. 385 00:18:51,920 --> 00:18:53,880 Speaker 2: Welcome back to Part Time Genius, where we're talking about 386 00:18:53,920 --> 00:18:57,960 Speaker 2: twenty five great science ideas over the last twenty five years. 387 00:18:57,960 --> 00:19:01,840 Speaker 2: And I forgot Mengo. What number are we on? All right, 388 00:19:01,960 --> 00:19:04,200 Speaker 2: number twenty two? So Mango, what do you have next? 389 00:19:05,640 --> 00:19:08,240 Speaker 1: Well, let's talk about the sense of smell, because when 390 00:19:08,240 --> 00:19:11,440 Speaker 1: it comes to memory and emotion, there is no sense 391 00:19:11,560 --> 00:19:14,159 Speaker 1: quite as powerful as scent. And for me, like a 392 00:19:14,200 --> 00:19:17,359 Speaker 1: whiff of jasmine takes me to my grandmother's backyard and India, 393 00:19:17,880 --> 00:19:20,639 Speaker 1: there's a certain wet grass and pavement smell that reminds 394 00:19:20,640 --> 00:19:23,720 Speaker 1: me of monsoons and also spring in Delaware. Yeah, also 395 00:19:24,119 --> 00:19:26,800 Speaker 1: lemon pledge weirdly reminds me of when my sister and 396 00:19:26,840 --> 00:19:29,200 Speaker 1: I used to have to dust wood furniture every Saturday 397 00:19:29,200 --> 00:19:33,800 Speaker 1: after cartoons. So are there any distinctive sense that you 398 00:19:33,800 --> 00:19:34,240 Speaker 1: can think of. 399 00:19:34,240 --> 00:19:36,359 Speaker 2: It's funny that you mentioned your grandmother. I feel like 400 00:19:36,400 --> 00:19:39,160 Speaker 2: everybody who you know had the benefit of being able 401 00:19:39,200 --> 00:19:41,440 Speaker 2: to go to a grandmother's house has a certain scent there. 402 00:19:41,480 --> 00:19:43,840 Speaker 2: For me, it was the smell of bacon, because my 403 00:19:43,840 --> 00:19:48,119 Speaker 2: granddad cooked bacon every single morning of his life, and 404 00:19:48,160 --> 00:19:51,120 Speaker 2: so whenever you walk into that house, you're just like bacon. 405 00:19:53,840 --> 00:19:54,240 Speaker 2: I love that. 406 00:19:54,320 --> 00:19:57,320 Speaker 1: Mike Myers always talks about like how it smells like soup, 407 00:19:57,359 --> 00:19:58,600 Speaker 1: whinny he thinks. 408 00:19:58,400 --> 00:20:01,439 Speaker 2: About old people. This is a little better than that. 409 00:20:02,480 --> 00:20:05,400 Speaker 1: So our next guest knows a lot about scent. It's 410 00:20:05,440 --> 00:20:07,879 Speaker 1: what he does for a living. And our pal Mary 411 00:20:08,000 --> 00:20:09,440 Speaker 1: actually got him on the phone. 412 00:20:09,640 --> 00:20:12,640 Speaker 3: I'm Steve Pierce. I've worked in the flame room fragrance 413 00:20:12,640 --> 00:20:16,240 Speaker 3: industry for more than forty years in various roles and 414 00:20:16,480 --> 00:20:20,160 Speaker 3: now a consult for some companies in that industry. I'm 415 00:20:20,200 --> 00:20:22,399 Speaker 3: a bit of a jack of all trades, to be honest. 416 00:20:22,960 --> 00:20:26,320 Speaker 1: So Steve has a degree and applied biochemistry and says 417 00:20:26,359 --> 00:20:28,720 Speaker 1: he's been interested in smells since he was a kid. 418 00:20:28,800 --> 00:20:31,160 Speaker 1: So back in the early two thousands, he was approached 419 00:20:31,200 --> 00:20:33,800 Speaker 1: by a museum curator who wanted to make an exhibit 420 00:20:33,880 --> 00:20:37,560 Speaker 1: about impossible smells, like smells that were so fleeting or 421 00:20:37,640 --> 00:20:39,400 Speaker 1: so far in the past that no one's been able 422 00:20:39,440 --> 00:20:42,840 Speaker 1: to experience them. And one of the impossible smells he 423 00:20:42,880 --> 00:20:45,440 Speaker 1: developed for this exhibit was the scent of the Mere 424 00:20:45,680 --> 00:20:49,040 Speaker 1: Space Station as it fell back to Earth. The exhibit 425 00:20:49,160 --> 00:20:52,080 Speaker 1: was a huge hit and people were fascinated. 426 00:20:52,400 --> 00:20:53,879 Speaker 3: It made a bit of a splash. It was on 427 00:20:53,960 --> 00:20:56,399 Speaker 3: TV all the rest of it. And it was a 428 00:20:56,440 --> 00:20:58,800 Speaker 3: few months after that that I got this call from 429 00:20:58,880 --> 00:21:03,359 Speaker 3: someone at NASA. He explained his role as having to 430 00:21:03,400 --> 00:21:07,360 Speaker 3: smell every single component that went into the Space Shuttle 431 00:21:07,920 --> 00:21:10,760 Speaker 3: to make sure that when astronauts were up there, there 432 00:21:10,840 --> 00:21:14,320 Speaker 3: was nothing that was going to create an off an 433 00:21:14,359 --> 00:21:17,280 Speaker 3: unpleasant environment for them to live and work in. 434 00:21:17,760 --> 00:21:19,720 Speaker 2: So I'm trying to imagine this guy's work day, like 435 00:21:19,760 --> 00:21:21,679 Speaker 2: he walked around sniffing rocket parts. 436 00:21:21,880 --> 00:21:24,359 Speaker 1: Yeah, I guess something like that, And I guess he 437 00:21:24,440 --> 00:21:27,560 Speaker 1: told Steve that NASA had a smell problem. 438 00:21:28,400 --> 00:21:32,919 Speaker 3: They had astronauts returning to Earth who'd gone for a 439 00:21:33,080 --> 00:21:37,240 Speaker 3: vehicular walk outside. So they'd gone outside to service satellites 440 00:21:37,240 --> 00:21:39,720 Speaker 3: and do all the things they do, and then when 441 00:21:39,760 --> 00:21:43,280 Speaker 3: they got back inside, they were going through the airlock 442 00:21:43,680 --> 00:21:47,280 Speaker 3: and they'd repressurized, take their suit helmet off, and then 443 00:21:47,320 --> 00:21:49,919 Speaker 3: they got hit by this smell. And a number of 444 00:21:49,920 --> 00:21:52,840 Speaker 3: them came back and said, look, we went through all 445 00:21:52,880 --> 00:21:57,080 Speaker 3: this training about fitness, about psychology here, about how to 446 00:21:57,200 --> 00:21:59,800 Speaker 3: fly things, how to service satellites, how to walk as 447 00:21:59,840 --> 00:22:03,159 Speaker 3: they nobody warned us about this smell. 448 00:22:03,520 --> 00:22:06,200 Speaker 2: Never would have thought that space had a smell. Apparently 449 00:22:06,320 --> 00:22:09,160 Speaker 2: NASA hadn't either, So they asked Steve if you could 450 00:22:09,200 --> 00:22:12,840 Speaker 2: recreate the scent of space for training purposes, and he 451 00:22:12,920 --> 00:22:15,119 Speaker 2: was like, sure, I'll give it a try. So NASA 452 00:22:15,119 --> 00:22:17,360 Speaker 2: put him in touch with some astronauts so he could 453 00:22:17,359 --> 00:22:19,919 Speaker 2: get a first hand account of the space smell. 454 00:22:20,280 --> 00:22:23,560 Speaker 3: They were pretty consistent in terms of it, focusing on 455 00:22:23,600 --> 00:22:27,480 Speaker 3: things like hot metal. They said fried steak, but I 456 00:22:27,600 --> 00:22:30,840 Speaker 3: kind of think that was when maybe they were near 457 00:22:30,880 --> 00:22:34,040 Speaker 3: a barbecue which was hot metal, and they were associating 458 00:22:34,080 --> 00:22:37,159 Speaker 3: the fried steak and the hot metal. And one of 459 00:22:37,200 --> 00:22:41,320 Speaker 3: them described it as the scent of the hot metal 460 00:22:41,359 --> 00:22:43,760 Speaker 3: when he was welding on his motorbike as a young 461 00:22:43,800 --> 00:22:47,000 Speaker 3: man and things like this. So that was the description 462 00:22:47,400 --> 00:22:50,360 Speaker 3: that I had to go for and try and recreate 463 00:22:50,440 --> 00:22:53,359 Speaker 3: that in a safe way that could be used during 464 00:22:53,359 --> 00:22:53,920 Speaker 3: the training. 465 00:22:54,359 --> 00:22:56,560 Speaker 1: So around the same time, some other papers came out 466 00:22:56,560 --> 00:23:00,359 Speaker 1: that offered all these hypotheses about what space smell like 467 00:23:00,760 --> 00:23:04,000 Speaker 1: based on beectroscopic analysis, and two of the notes that 468 00:23:04,040 --> 00:23:08,200 Speaker 1: got mentioned were raspberries and rum, which I've read about 469 00:23:08,240 --> 00:23:11,200 Speaker 1: and it sounds really nice. But Steve didn't buy it. 470 00:23:11,680 --> 00:23:14,800 Speaker 1: None of the astronauts he'd interviewed mentioned any of those scents, 471 00:23:14,880 --> 00:23:18,360 Speaker 1: so he stuck to his brief of hot metal and meat. 472 00:23:18,520 --> 00:23:20,439 Speaker 1: And the more he thought about it, the more it 473 00:23:20,480 --> 00:23:23,960 Speaker 1: made sense because when the astronauts were outside, their suits 474 00:23:24,040 --> 00:23:28,080 Speaker 1: were bombarded by high velocity particles and solar wind, so 475 00:23:28,440 --> 00:23:30,960 Speaker 1: when they came back inside, they detected the odor left 476 00:23:31,000 --> 00:23:32,159 Speaker 1: by all that energy. 477 00:23:32,480 --> 00:23:34,800 Speaker 2: So we managed to recreate the smell for NASA. 478 00:23:35,359 --> 00:23:37,119 Speaker 1: Yeah, I mean, it took a couple of months, but 479 00:23:37,359 --> 00:23:40,280 Speaker 1: he did. And unfortunately, in the time he was working, 480 00:23:40,520 --> 00:23:44,280 Speaker 1: his NASA contact had retired or maybe been laid off, 481 00:23:44,320 --> 00:23:46,840 Speaker 1: like to this day Steven in shore, which all he 482 00:23:46,920 --> 00:23:49,240 Speaker 1: knew was that he called NASA to say, hey, I've 483 00:23:49,240 --> 00:23:51,640 Speaker 1: got your space smell, and NASA was like, we don't 484 00:23:51,680 --> 00:23:53,720 Speaker 1: know where you're talking about, man. 485 00:23:54,840 --> 00:23:59,280 Speaker 3: I couldn't find anyone else to want to take it forward, 486 00:23:59,359 --> 00:24:01,320 Speaker 3: so it was a bit disappointing to have done that 487 00:24:01,440 --> 00:24:04,120 Speaker 3: work and then not be able to see it put 488 00:24:04,160 --> 00:24:06,800 Speaker 3: to use. So I kind of parked it. 489 00:24:07,280 --> 00:24:10,159 Speaker 1: The story might have ended there, but the BBC happened 490 00:24:10,200 --> 00:24:14,000 Speaker 1: to visit Steve's lab for a report on fragrance and flavors. 491 00:24:14,400 --> 00:24:17,840 Speaker 1: The reporter asked if he'd worked on anything particularly unusual, 492 00:24:17,960 --> 00:24:20,879 Speaker 1: and Steve said, well, as a matter of fact, I 493 00:24:20,960 --> 00:24:24,200 Speaker 1: made the scent of space for NASA, and that turned 494 00:24:24,240 --> 00:24:26,600 Speaker 1: into the kicker of the piece, and then another media 495 00:24:26,640 --> 00:24:28,960 Speaker 1: storm erupted, so the news traveled to this side of 496 00:24:28,960 --> 00:24:32,240 Speaker 1: the Atlantic and Steve was contacted by an American education 497 00:24:32,440 --> 00:24:35,439 Speaker 1: advocate who wanted to leverage the scent to raise money 498 00:24:35,480 --> 00:24:38,280 Speaker 1: for STEM programs. Right, this is awesome. So the initial 499 00:24:38,280 --> 00:24:41,199 Speaker 1: goal was something like, let's sell two thousand dollars of 500 00:24:41,240 --> 00:24:44,120 Speaker 1: this perfume, and in the end the project raised over 501 00:24:44,359 --> 00:24:46,520 Speaker 1: six hundred thousand dollars on kickstar. 502 00:24:46,680 --> 00:24:47,359 Speaker 2: Isn't that amazing? 503 00:24:47,960 --> 00:24:50,800 Speaker 1: And the idea was that for every bottle someone bought, 504 00:24:50,840 --> 00:24:53,720 Speaker 1: a bottle would get sent to a school. But this 505 00:24:53,760 --> 00:24:55,280 Speaker 1: meant a new challenge for Steve. 506 00:24:55,840 --> 00:24:59,120 Speaker 3: Before, I wasn't worried about skin contact and things like that. 507 00:24:59,160 --> 00:25:01,639 Speaker 3: I was just thinking people would smell it. No, that 508 00:25:01,680 --> 00:25:03,240 Speaker 3: would be the end of it. Now I had to 509 00:25:03,240 --> 00:25:05,879 Speaker 3: go back to the drawing board and reformulate it to 510 00:25:05,960 --> 00:25:10,280 Speaker 3: make sure it was completely safe in case anybody accidentally 511 00:25:10,280 --> 00:25:13,040 Speaker 3: sprayed it in their eye or swallowed it, or make 512 00:25:13,080 --> 00:25:15,160 Speaker 3: sure there were no allergens in there and so on. 513 00:25:15,560 --> 00:25:18,880 Speaker 1: So what's more, Steve had actually developed a second space scent. 514 00:25:19,280 --> 00:25:21,760 Speaker 1: He met the astronaut Charles Duke at a conference, and 515 00:25:21,800 --> 00:25:24,360 Speaker 1: Duke could actually walk down the Moon with the Apollo 516 00:25:24,440 --> 00:25:27,679 Speaker 1: eleven crew, So naturally Steve wanted to know what that 517 00:25:27,800 --> 00:25:28,480 Speaker 1: had smelled like. 518 00:25:29,000 --> 00:25:31,080 Speaker 3: And of course he's, well, of course you can't smell 519 00:25:31,119 --> 00:25:32,960 Speaker 3: anything through the suit, and he's having a joke and 520 00:25:33,000 --> 00:25:35,359 Speaker 3: all that, But then he says, when you get inside 521 00:25:35,680 --> 00:25:38,520 Speaker 3: and you're covered in this fine dust, he starts explaining 522 00:25:38,520 --> 00:25:41,480 Speaker 3: to everyone about it. Takes his helmet off, he says, 523 00:25:41,520 --> 00:25:44,640 Speaker 3: and all you can smell is this smell of the moon, 524 00:25:44,680 --> 00:25:46,720 Speaker 3: he says. And everyone thinks it smells of cheese and 525 00:25:46,760 --> 00:25:48,760 Speaker 3: makes all these jokes about it, but he says, it 526 00:25:48,880 --> 00:25:50,880 Speaker 3: smells like spent gunpowder. 527 00:25:51,480 --> 00:25:53,280 Speaker 1: So the scent of Space and the Scent of the 528 00:25:53,320 --> 00:25:56,600 Speaker 1: Moon became available through this kickstarter. And now Steve does 529 00:25:56,600 --> 00:25:58,280 Speaker 1: want to make it very clear that he is not 530 00:25:58,520 --> 00:26:01,960 Speaker 1: involved in any of the logistics for fulfillment with this 531 00:26:02,119 --> 00:26:04,960 Speaker 1: Space scent product. He just made vats of the stuff 532 00:26:05,000 --> 00:26:07,280 Speaker 1: and had it shift to a distributor. But he is 533 00:26:07,480 --> 00:26:09,919 Speaker 1: really happy about all the bottles that made their way 534 00:26:09,960 --> 00:26:12,480 Speaker 1: to schools and STEM programs, And he told us one 535 00:26:12,520 --> 00:26:15,080 Speaker 1: of his proudest moments was meeting a dad whose son 536 00:26:15,240 --> 00:26:19,439 Speaker 1: had really severe learning disabilities, but he was fascinated by 537 00:26:19,480 --> 00:26:22,040 Speaker 1: space and being able to smell it made it come 538 00:26:22,080 --> 00:26:24,920 Speaker 1: to life in this incredible, vivid way. 539 00:26:25,119 --> 00:26:26,879 Speaker 2: Oh that's so cool. I do have to ask my 540 00:26:27,000 --> 00:26:29,080 Speaker 2: go have you smelled this stuff? And if so, is 541 00:26:29,080 --> 00:26:29,520 Speaker 2: it good? 542 00:26:30,119 --> 00:26:34,840 Speaker 1: I don't think the word is good, like maybe interesting, fascinating, meaty. 543 00:26:36,080 --> 00:26:40,240 Speaker 1: I looked up out to Space on perfume review website 544 00:26:40,320 --> 00:26:42,440 Speaker 1: and a lot of people complained that it didn't smell 545 00:26:42,560 --> 00:26:45,920 Speaker 1: like something you'd wear, which makes sense because that wasn't 546 00:26:45,920 --> 00:26:49,760 Speaker 1: the intention. But what's really interesting is several reviewers mentioned 547 00:26:49,760 --> 00:26:52,800 Speaker 1: that the scent made them feel a sense of loneliness 548 00:26:52,920 --> 00:26:56,200 Speaker 1: or dispair and so we actually asked Steve about this. 549 00:26:56,760 --> 00:27:00,119 Speaker 3: I wouldn't have used words like despair and loneliness. I 550 00:27:00,119 --> 00:27:03,040 Speaker 3: can understand if people are putting that concept of the 551 00:27:03,119 --> 00:27:06,480 Speaker 3: fragrance alongside the fact that you're in an airless and 552 00:27:06,640 --> 00:27:10,280 Speaker 3: void of space and you're weightless. If it manages to 553 00:27:10,320 --> 00:27:13,280 Speaker 3: conjure up those feelings, I can understand why they might 554 00:27:13,320 --> 00:27:18,280 Speaker 3: describe it as that. There's definitely a meaty element to it. 555 00:27:18,280 --> 00:27:21,320 Speaker 3: It is quite harsh and metallic as well. I would 556 00:27:21,320 --> 00:27:23,760 Speaker 3: have said I would have described it as that. The 557 00:27:23,840 --> 00:27:26,000 Speaker 3: other image I had was if you've ever been the 558 00:27:26,680 --> 00:27:30,760 Speaker 3: electrical sparks and you get that blue flash and there's 559 00:27:30,840 --> 00:27:35,000 Speaker 3: that sense of burning although nothing's burning, it's almost like 560 00:27:35,040 --> 00:27:38,720 Speaker 3: the ozone in the air that's created in that high 561 00:27:38,880 --> 00:27:41,439 Speaker 3: energy impact. Those were the kind of images I was 562 00:27:41,440 --> 00:27:44,120 Speaker 3: trying to recreate. I never set out to make anyone 563 00:27:44,200 --> 00:27:47,879 Speaker 3: feel despair, but you know what, when you're working on 564 00:27:47,920 --> 00:27:50,520 Speaker 3: these things on your own and you're sometimes coming up 565 00:27:50,560 --> 00:27:52,879 Speaker 3: against a bit of a block and trying to improve it, 566 00:27:52,960 --> 00:27:55,520 Speaker 3: sometimes that can feel pretty lonely as well. 567 00:27:55,760 --> 00:27:58,120 Speaker 1: And maybe that's the next challenge for a fragrance scientist 568 00:27:58,240 --> 00:28:00,159 Speaker 1: like Steve, like figure out a way to bottle the 569 00:28:00,200 --> 00:28:02,919 Speaker 1: scent of loneliness along with one that makes you feel 570 00:28:03,520 --> 00:28:05,720 Speaker 1: maybe more like you're surrounded by people you love. 571 00:28:06,000 --> 00:28:07,080 Speaker 2: That's a great idea. 572 00:28:07,200 --> 00:28:09,879 Speaker 1: Anyway, I'm sure everyone's wondering, Okay, how can I get 573 00:28:09,880 --> 00:28:12,600 Speaker 1: a whiff of this? Well, we manage to get our 574 00:28:12,640 --> 00:28:14,720 Speaker 1: hands on a bottle of the Space scent and a 575 00:28:14,720 --> 00:28:16,480 Speaker 1: bottle of the Moon scent, and. 576 00:28:16,320 --> 00:28:17,720 Speaker 2: We squirted it on a fire mall. 577 00:28:18,040 --> 00:28:21,960 Speaker 1: So we are giving them away today on our Instagram. 578 00:28:22,000 --> 00:28:24,919 Speaker 1: So go check it out at part time Genius to 579 00:28:24,960 --> 00:28:25,840 Speaker 1: see how you can win. 580 00:28:25,920 --> 00:28:30,520 Speaker 2: I'm gonna apply. So for anyone who's suffered from jet lag, 581 00:28:30,560 --> 00:28:32,439 Speaker 2: you know how hard it can be to try to 582 00:28:32,480 --> 00:28:35,080 Speaker 2: get your body clock to shift time zones. It is 583 00:28:35,200 --> 00:28:38,160 Speaker 2: really not a pleasant process. But for a bunch of hamsters, 584 00:28:38,240 --> 00:28:42,000 Speaker 2: at least one thing has helped, taking viagra. You can 585 00:28:42,080 --> 00:28:46,160 Speaker 2: see any of this coming to do jet lag, Hamsters, viagra? 586 00:28:46,280 --> 00:28:48,440 Speaker 2: Can you work those into the sentence? It's like the 587 00:28:48,480 --> 00:28:51,280 Speaker 2: weirdest success, Mad Live success. 588 00:28:52,640 --> 00:28:54,800 Speaker 1: So why were they giving viagra to hamster? 589 00:28:55,400 --> 00:28:58,360 Speaker 2: What else would you give them? Mango? But anyway, it's 590 00:28:58,400 --> 00:29:01,720 Speaker 2: really only in small doses. So, as the Smithsonian points out, 591 00:29:01,960 --> 00:29:05,000 Speaker 2: since nineteen ninety eight, when viagra was first approved by 592 00:29:05,000 --> 00:29:08,320 Speaker 2: the FDA. Scientists have found all sorts of other uses 593 00:29:08,360 --> 00:29:11,320 Speaker 2: for the drug, including for flowers. Actually, so if you 594 00:29:11,360 --> 00:29:13,840 Speaker 2: crush viagra into a vase, it can help your fresh 595 00:29:13,840 --> 00:29:17,600 Speaker 2: cut flowers last longer. It's also good for treating blood pressure, 596 00:29:17,640 --> 00:29:20,040 Speaker 2: and in two thousand and seven, a trio of Argentinian 597 00:29:20,120 --> 00:29:22,840 Speaker 2: scientists figured out that injecting a small amount of viagra 598 00:29:22,960 --> 00:29:25,960 Speaker 2: into a hamster will help cure it of jet lag. 599 00:29:26,440 --> 00:29:28,400 Speaker 1: I mean, of course it has to be a small dose, right, 600 00:29:28,440 --> 00:29:31,880 Speaker 1: These are hamster. These are also scientists, so they could 601 00:29:31,920 --> 00:29:35,240 Speaker 1: do whatever, but anyway. But it's basically enough viagra to 602 00:29:35,360 --> 00:29:37,720 Speaker 1: affect them, but not enough to get them aroused or 603 00:29:37,760 --> 00:29:38,440 Speaker 1: anything like that. 604 00:29:38,480 --> 00:29:41,880 Speaker 2: But back to the jet lag. Normally, humans tend to 605 00:29:41,920 --> 00:29:45,240 Speaker 2: take a full day to adjust for an hour of change, 606 00:29:45,480 --> 00:29:47,520 Speaker 2: So if you travel to Singapore from New York, it'll 607 00:29:47,520 --> 00:29:50,400 Speaker 2: take your body about twelve days to fully adjust to 608 00:29:50,440 --> 00:29:53,640 Speaker 2: that time change. But with viagra, the hamsters were covered 609 00:29:53,680 --> 00:29:56,480 Speaker 2: in about half of that period. And do we know 610 00:29:56,560 --> 00:29:59,640 Speaker 2: why this is Well, according to the Smithsonian quote, they 611 00:29:59,720 --> 00:30:02,680 Speaker 2: believe even happened because the drug raises levels of a 612 00:30:02,720 --> 00:30:07,680 Speaker 2: molecule called cyclic guanascene monophosphate in the body. cGMP is 613 00:30:07,720 --> 00:30:11,320 Speaker 2: the molecule that expands blood vessels, which helps with getting 614 00:30:11,320 --> 00:30:13,880 Speaker 2: men excited. That's how it works from that purpose. But 615 00:30:14,200 --> 00:30:17,800 Speaker 2: cGMP also speeds up the body's internal clock, which is 616 00:30:17,840 --> 00:30:21,200 Speaker 2: how it combats jet lag. Anyway, the most fascinating thing 617 00:30:21,240 --> 00:30:23,320 Speaker 2: about this study, or to me at least, was that 618 00:30:23,560 --> 00:30:27,120 Speaker 2: the viagra only worked when hamsters were traveling east. Like, 619 00:30:27,160 --> 00:30:29,840 Speaker 2: the viagra helped if you adjusted the time zone from 620 00:30:30,080 --> 00:30:33,040 Speaker 2: New York to London, but if you had them going west, 621 00:30:33,160 --> 00:30:36,760 Speaker 2: it basically had no effect. I heard viagra's the same way, So. 622 00:30:38,640 --> 00:30:42,480 Speaker 1: That is wilds Well, I've got another discovery about animals, 623 00:30:42,480 --> 00:30:47,720 Speaker 1: but before we get to that, let's take one last break. 624 00:31:00,440 --> 00:31:02,480 Speaker 2: Welcome back to Part Time Genius, where we're counting down 625 00:31:02,520 --> 00:31:05,360 Speaker 2: the twenty five greatest science ideas of the past twenty 626 00:31:05,400 --> 00:31:08,640 Speaker 2: five years. All right, mango, we are all the way too. 627 00:31:09,480 --> 00:31:14,360 Speaker 1: Why those sesame street numbers never get old to me? 628 00:31:15,560 --> 00:31:18,360 Speaker 1: And at number twenty, we're going to cover one of 629 00:31:18,400 --> 00:31:22,480 Speaker 1: the most important scientific discoveries of our time, according to me, 630 00:31:23,280 --> 00:31:27,480 Speaker 1: which is why chickens like Denzel Washington more than you. 631 00:31:27,840 --> 00:31:31,080 Speaker 2: More than I like Denzel Washington, or they like Denzel 632 00:31:31,160 --> 00:31:32,080 Speaker 2: more than they like me. 633 00:31:32,320 --> 00:31:34,800 Speaker 1: They like Denzel more than they liked Okay, god, okn me, 634 00:31:35,400 --> 00:31:36,560 Speaker 1: they preferred Denze. 635 00:31:36,440 --> 00:31:37,640 Speaker 2: Making sure I didn't know if I was part of 636 00:31:37,680 --> 00:31:38,160 Speaker 2: this study. 637 00:31:39,360 --> 00:31:41,760 Speaker 1: Now, over the years, there have been lots of discoveries 638 00:31:41,800 --> 00:31:44,120 Speaker 1: about chickens. We know that the color of a chicken's 639 00:31:44,160 --> 00:31:47,600 Speaker 1: eggs often coincides with the color of the bird's ear lobes. 640 00:31:48,200 --> 00:31:51,520 Speaker 1: We know that today's chickens descended from the red jungle 641 00:31:51,560 --> 00:31:54,760 Speaker 1: fowl of Southeast Asia about eight thousand years ago, and 642 00:31:54,800 --> 00:31:58,560 Speaker 1: they were probably first domesticated not for meat, but as 643 00:31:58,720 --> 00:32:04,000 Speaker 1: early alarms systems like watchdogs, but birds right, bird dogs? 644 00:32:04,160 --> 00:32:04,400 Speaker 2: Yeah. 645 00:32:05,840 --> 00:32:10,080 Speaker 1: But perhaps most importantly, chickens can tell other chickens apart, 646 00:32:10,160 --> 00:32:12,600 Speaker 1: and studies have shown they can easily identify up to 647 00:32:12,800 --> 00:32:16,280 Speaker 1: thirty other chickens at a chicken party, but once the 648 00:32:16,360 --> 00:32:19,480 Speaker 1: numbers get to about one hundred, they get more confused. 649 00:32:19,480 --> 00:32:21,720 Speaker 1: They can't keep tracked. I mean, it's like people. Yeah, 650 00:32:22,080 --> 00:32:25,000 Speaker 1: it feels fair. But in two thousand and two, in 651 00:32:25,040 --> 00:32:29,520 Speaker 1: a paper called quote Chickens prefer beautiful humans. This is 652 00:32:29,560 --> 00:32:34,600 Speaker 1: actually the title of the scientist Stefano Ghirlanda Listen, Loote 653 00:32:34,800 --> 00:32:39,560 Speaker 1: Jensen and Magnus Anquist. Don't worry, it'll be spelled properly 654 00:32:39,560 --> 00:32:43,080 Speaker 1: on the certificates. They all discovered that much like humans, 655 00:32:43,200 --> 00:32:47,240 Speaker 1: chickens are attracted to symmetrical faces, and in the experiment, 656 00:32:47,360 --> 00:32:50,640 Speaker 1: chickens pecked more at screens with symmetrical faces, and these 657 00:32:50,720 --> 00:32:54,040 Speaker 1: results actually match the results of humans who were asked 658 00:32:54,080 --> 00:32:58,000 Speaker 1: to choose between the same faces. According to nat GEO, 659 00:32:58,040 --> 00:33:00,360 Speaker 1: the study was limited in that only tests did a 660 00:33:00,360 --> 00:33:03,000 Speaker 1: small number of chickens and humans, but the results may 661 00:33:03,040 --> 00:33:07,560 Speaker 1: suggest the mutual admiration for symmetry is rooted in the 662 00:33:07,600 --> 00:33:11,160 Speaker 1: nervous system. Isn't that awesome? So it's not really based 663 00:33:11,160 --> 00:33:13,960 Speaker 1: on cultural influences, but it's triggered by something in the brain. 664 00:33:14,160 --> 00:33:16,240 Speaker 2: Yeah, well, you said this was only a small number 665 00:33:16,280 --> 00:33:18,600 Speaker 2: of chickens, so I'm still not quite on board with 666 00:33:18,640 --> 00:33:20,560 Speaker 2: the idea that they like Denzel more than you. But 667 00:33:20,640 --> 00:33:23,360 Speaker 2: we'll see. And actually, you know what, you know, I 668 00:33:23,400 --> 00:33:26,520 Speaker 2: have chickens and chickens that lay different colored eggs. Huh. 669 00:33:26,560 --> 00:33:29,200 Speaker 2: I did not know that chickens had ear lobes, much 670 00:33:29,320 --> 00:33:31,800 Speaker 2: less ear lobes that you could use to detect what 671 00:33:31,840 --> 00:33:33,720 Speaker 2: sort of eggs they would lay. But anyway, it's all 672 00:33:33,880 --> 00:33:37,120 Speaker 2: super fascinating. So back to this idea of the chickens 673 00:33:37,200 --> 00:33:41,040 Speaker 2: preferring symmetrical faces. Do we know the evolutionary reason for that? Like, 674 00:33:41,040 --> 00:33:43,440 Speaker 2: why do humans and chickens prefer these faces? 675 00:33:43,680 --> 00:33:46,560 Speaker 1: We don't know yet. But nat Geo did have a 676 00:33:46,600 --> 00:33:49,280 Speaker 1: fun kicker to the piece. They wrote, quote, what could 677 00:33:49,320 --> 00:33:52,080 Speaker 1: be more humiliating than a chicken who sees your Tinder 678 00:33:52,120 --> 00:33:57,560 Speaker 1: profile and swipes left? I think that's a good way 679 00:33:57,600 --> 00:33:58,080 Speaker 1: to answer. 680 00:33:58,440 --> 00:34:01,600 Speaker 2: So that is definitely. We have reached the end of 681 00:34:01,640 --> 00:34:03,760 Speaker 2: day one in our countdown of the twenty five best 682 00:34:03,800 --> 00:34:06,920 Speaker 2: science ideas from the past twenty five years. Now, remember 683 00:34:07,000 --> 00:34:08,799 Speaker 2: we got four more days to go, so be sure 684 00:34:08,840 --> 00:34:11,200 Speaker 2: to tune in all week. Don't forget to enter today's 685 00:34:11,200 --> 00:34:14,520 Speaker 2: giveaway on our Instagram at part time Genius and Mengo. 686 00:34:14,719 --> 00:34:15,960 Speaker 2: What's the teas up for tomorrow? 687 00:34:16,280 --> 00:34:20,760 Speaker 1: So we have got stories about lobsters, dolphins and bike helmets. 688 00:34:20,800 --> 00:34:23,520 Speaker 1: Oh yeah, the trio, although unfortunately none of these involve 689 00:34:23,600 --> 00:34:26,759 Speaker 1: lobsters and dolphins wearing bike helmets. But it's still going 690 00:34:26,800 --> 00:34:29,480 Speaker 1: to be fun, I promise. Anyway, that's it for today's 691 00:34:29,480 --> 00:34:33,719 Speaker 1: episode from Gabe, Dylan, Mary, Will and myself. Thank you 692 00:34:33,760 --> 00:34:49,120 Speaker 1: so much for listening. Part Time Genius is a production 693 00:34:49,160 --> 00:34:52,879 Speaker 1: of Kaleidoscope and iHeartRadio. This show is hosted by Will 694 00:34:52,920 --> 00:34:57,239 Speaker 1: Pearson and Me Mongays Chatikler, and research by our good 695 00:34:57,320 --> 00:35:01,560 Speaker 1: pal Mary Philip Sandy. Today's EPISO was engineered and produced 696 00:35:01,560 --> 00:35:04,880 Speaker 1: by the wonderful Dylan Fagan with support from Tyler Klang. 697 00:35:05,320 --> 00:35:08,720 Speaker 1: The show is executive produced for iHeart by Katrina Norvell 698 00:35:08,840 --> 00:35:11,879 Speaker 1: and Ali Perry, with social media support from Sasha Gay, 699 00:35:11,960 --> 00:35:16,560 Speaker 1: Trustee Dara Potts and Vinny Shorey. For more podcasts from 700 00:35:16,600 --> 00:35:21,560 Speaker 1: Kaleidoscope and iHeartRadio, visit the iHeartRadio app, Apple Podcasts, or 701 00:35:21,800 --> 00:35:36,640 Speaker 1: wherever you listen to your favorite shows.