1 00:00:03,800 --> 00:00:06,680 Speaker 1: Welcome to Stuff to Blow your Mind from how Stuff 2 00:00:06,680 --> 00:00:13,840 Speaker 1: Works dot com. Hey, welcome to Stuff to Blow your Mind. 3 00:00:13,840 --> 00:00:16,159 Speaker 1: My name is Robert Lamb and I'm Julie Douglas. And 4 00:00:16,200 --> 00:00:18,040 Speaker 1: this is the magical time of the year because it 5 00:00:18,160 --> 00:00:21,520 Speaker 1: is Shark Week, the best time of the year. Yeah, 6 00:00:21,560 --> 00:00:24,799 Speaker 1: we've got our Shark Week lights up around the office. Yeah, 7 00:00:24,880 --> 00:00:27,840 Speaker 1: we have to look like little sharks. Mandatory consumption of 8 00:00:27,840 --> 00:00:30,880 Speaker 1: gummy sharks. Um, nobody's allowed to bring their line. It's 9 00:00:31,000 --> 00:00:34,120 Speaker 1: just gummy sharks and tap water for everybody. Really builds 10 00:00:34,159 --> 00:00:37,040 Speaker 1: up your constitution. Yep. Yeah. And we we tend to 11 00:00:37,560 --> 00:00:40,320 Speaker 1: just go around circles around each other in the break room, 12 00:00:40,720 --> 00:00:44,920 Speaker 1: which is fun. So it is. It's an exciting time 13 00:00:44,960 --> 00:00:47,440 Speaker 1: and it's also in the lobby. We're not making that 14 00:00:47,520 --> 00:00:49,599 Speaker 1: up now, We're not making that up at all. Um. 15 00:00:49,640 --> 00:00:53,960 Speaker 1: It actually premieers Sunday, July thirty one on Discovery Channel 16 00:00:54,400 --> 00:00:57,520 Speaker 1: for folks who are really excited about sharks, and so 17 00:00:57,560 --> 00:01:00,840 Speaker 1: we thought that we would do a little homage to 18 00:01:01,120 --> 00:01:04,720 Speaker 1: sharks this week and um and talk about how great 19 00:01:04,760 --> 00:01:07,320 Speaker 1: they are. Cool because the week itself was always pretty 20 00:01:07,319 --> 00:01:09,679 Speaker 1: awesome growing up because you turn on Discovery and then 21 00:01:09,720 --> 00:01:13,119 Speaker 1: they're just like NonStop shark attacks, I was gonna say, ma'am, 22 00:01:13,200 --> 00:01:15,400 Speaker 1: and violence no matter where you look, and your parents 23 00:01:15,400 --> 00:01:17,880 Speaker 1: can't say anything about it because there's sharks. Yeah, it's 24 00:01:17,959 --> 00:01:21,800 Speaker 1: educational yea. And sharks truly are amazing creatures. But the 25 00:01:22,200 --> 00:01:24,080 Speaker 1: one you know, that, the one thing you don't think 26 00:01:24,280 --> 00:01:28,080 Speaker 1: about as much are sharks in space because it just 27 00:01:28,120 --> 00:01:31,120 Speaker 1: seems odd, yeah, or that NASA would it all care 28 00:01:31,280 --> 00:01:33,680 Speaker 1: what a shark is up to or how a shark works. 29 00:01:33,720 --> 00:01:35,920 Speaker 1: It just seems like these are totally different ends of 30 00:01:36,000 --> 00:01:39,839 Speaker 1: the spectrum. Yeah, but as we know, there are definitely 31 00:01:40,560 --> 00:01:45,280 Speaker 1: parallels between the Great Blue Ocean and the sky's above us, 32 00:01:45,360 --> 00:01:48,680 Speaker 1: right right. Uh, So to that point, we're going to 33 00:01:48,760 --> 00:01:53,240 Speaker 1: talk about how sharks have informed NASA and and also 34 00:01:53,400 --> 00:01:55,920 Speaker 1: how they have informed other areas of our lives and 35 00:01:56,080 --> 00:01:59,000 Speaker 1: uh and why Michael Phelps needs to give us shark 36 00:01:59,040 --> 00:02:03,240 Speaker 1: a big hug next time he sees one. Well, yeah, 37 00:02:03,240 --> 00:02:05,560 Speaker 1: for starters, there is there's not really need such thing 38 00:02:05,600 --> 00:02:07,680 Speaker 1: as a as a space shark. There of course no 39 00:02:07,960 --> 00:02:12,839 Speaker 1: sharks flying around in outer space. Um. But but dog, yes, 40 00:02:13,000 --> 00:02:17,440 Speaker 1: but not a shark, yes, mummified dog. Right. But as 41 00:02:17,600 --> 00:02:19,200 Speaker 1: as for sharks, we we have a wonder for a 42 00:02:19,280 --> 00:02:22,119 Speaker 1: long time whether or not the moon affects them, even 43 00:02:22,120 --> 00:02:23,880 Speaker 1: if even though there are no sharks on the moon, 44 00:02:24,560 --> 00:02:27,160 Speaker 1: people have always wondered, what is the lunar cycle affect 45 00:02:27,160 --> 00:02:30,760 Speaker 1: the way sharks behaved? As it can? Can we can 46 00:02:30,800 --> 00:02:35,520 Speaker 1: we base their feeding uh uh, preferences of their ferocity 47 00:02:35,720 --> 00:02:39,040 Speaker 1: on what the moon is doing? Yeah, that's true. Um. 48 00:02:39,080 --> 00:02:41,200 Speaker 1: And we know that a full moon signals breeding and 49 00:02:41,240 --> 00:02:44,480 Speaker 1: migratory practices. Um. And it also influences the tides because 50 00:02:44,480 --> 00:02:47,520 Speaker 1: the tidle forces add its maximum, so you see a 51 00:02:47,520 --> 00:02:50,320 Speaker 1: lot more intense feeding behavior at that time, right. And 52 00:02:50,560 --> 00:02:54,160 Speaker 1: in tracking shark movement, scientists have observed large congregations of 53 00:02:54,160 --> 00:03:00,440 Speaker 1: sharks during specific lunar cycles as well as intensified feeding habits. 54 00:03:00,440 --> 00:03:04,200 Speaker 1: So we've got NASA definitely has its I on sharks. 55 00:03:04,760 --> 00:03:07,920 Speaker 1: Yeah and um and this is just one example right there. 56 00:03:07,919 --> 00:03:10,600 Speaker 1: There are a lot of things that NASA has been 57 00:03:10,600 --> 00:03:13,760 Speaker 1: doing with sharks because some of their technology actually is 58 00:03:13,880 --> 00:03:16,360 Speaker 1: very helpful in tracking sharks. And these are yeah, these 59 00:03:16,360 --> 00:03:19,720 Speaker 1: are definitely more concrete than well, maybe the maybe the 60 00:03:19,720 --> 00:03:22,559 Speaker 1: moon has some sort of influence on their activity. Um. 61 00:03:22,639 --> 00:03:25,680 Speaker 1: The the one that really um first of all, as 62 00:03:25,680 --> 00:03:28,600 Speaker 1: far as just tracking them goes UM. We we do 63 00:03:28,680 --> 00:03:31,600 Speaker 1: use satellites to track sharks because some of these are 64 00:03:31,639 --> 00:03:34,520 Speaker 1: are in either they're endangered species or they're just species 65 00:03:34,520 --> 00:03:38,520 Speaker 1: we want to learn more about. UM. So we have 66 00:03:38,720 --> 00:03:41,080 Speaker 1: two kinds of tracking devices that we attached to the 67 00:03:41,080 --> 00:03:45,240 Speaker 1: sharks fins. We have smart position only tags also called spots, 68 00:03:45,520 --> 00:03:49,000 Speaker 1: and we have pop up satellite archival tags or pats. 69 00:03:49,920 --> 00:03:53,520 Speaker 1: Spots attached to a shark's dorsal fins and upload location 70 00:03:53,600 --> 00:03:56,560 Speaker 1: data to a satellite every time the animal surfaces, you know, 71 00:03:56,600 --> 00:03:59,160 Speaker 1: so every time it comes up to eat a surfer 72 00:03:59,440 --> 00:04:02,960 Speaker 1: or something, or to or to attack, Richard dry fuss 73 00:04:03,040 --> 00:04:06,760 Speaker 1: Uh injects in you know, pats. However, record water temperature, 74 00:04:06,840 --> 00:04:10,160 Speaker 1: water pressure, and light levels before detaching from the sharks 75 00:04:10,200 --> 00:04:14,080 Speaker 1: fins at a set time. So so this just sort 76 00:04:14,120 --> 00:04:16,680 Speaker 1: of hangs out with the shark shadows. The shark sees 77 00:04:16,720 --> 00:04:18,719 Speaker 1: what the shark is up to and what kind of 78 00:04:18,760 --> 00:04:20,800 Speaker 1: environments it's been happening, and then after a certain time 79 00:04:20,839 --> 00:04:23,280 Speaker 1: detaches to go report back. Yeah, so whether or not 80 00:04:23,360 --> 00:04:26,160 Speaker 1: the shark knows it, it's in business with NASA and 81 00:04:26,440 --> 00:04:29,960 Speaker 1: UM aggregating a bunch of data for the pat device 82 00:04:30,080 --> 00:04:32,000 Speaker 1: floats back to the surface after it's through, and then 83 00:04:32,000 --> 00:04:34,560 Speaker 1: it transmits the data to the satellite. Yeah. Yeah. And 84 00:04:34,560 --> 00:04:36,560 Speaker 1: then there's a second method to which I think is 85 00:04:36,600 --> 00:04:40,280 Speaker 1: really cool. Um, this is an algorithm. Yes, Now, this 86 00:04:40,320 --> 00:04:42,880 Speaker 1: is pretty fascinating because all right, you look up at 87 00:04:42,880 --> 00:04:47,120 Speaker 1: the night sky and even I mean even if you're 88 00:04:47,120 --> 00:04:50,320 Speaker 1: trained somewhat in astronomy and you can, you know, or 89 00:04:50,360 --> 00:04:52,680 Speaker 1: even if you're you can, you know, you can pick 90 00:04:52,680 --> 00:04:55,520 Speaker 1: out every constellation and you can point to different star systems. 91 00:04:55,920 --> 00:04:58,920 Speaker 1: You have to admit, a really clear night sky can 92 00:04:58,960 --> 00:05:02,000 Speaker 1: be really confusing because there's just so many stars and 93 00:05:02,320 --> 00:05:03,880 Speaker 1: you're just you know, trying to make sense of it all. 94 00:05:03,960 --> 00:05:05,800 Speaker 1: You cannot see them from Nakodaye all of them, right, 95 00:05:06,560 --> 00:05:09,800 Speaker 1: So NASA, of course has developed an algorithm to help 96 00:05:09,839 --> 00:05:12,559 Speaker 1: to track this that can know that can allow a 97 00:05:12,640 --> 00:05:16,320 Speaker 1: computer to look at the sky and identify what's going 98 00:05:16,360 --> 00:05:19,159 Speaker 1: on based on this, um, you know, to to to 99 00:05:19,240 --> 00:05:23,359 Speaker 1: the lame and seemingly chaotic array of stars. Yeah. And 100 00:05:23,400 --> 00:05:27,760 Speaker 1: this was originally created by Edward J. Groth, and he 101 00:05:27,880 --> 00:05:31,400 Speaker 1: was using this to try to map the intimidating star 102 00:05:31,480 --> 00:05:36,400 Speaker 1: fields Hubble would uncover falling it's launching. So just so 103 00:05:36,440 --> 00:05:40,400 Speaker 1: everybody understands the context there. But again there's this correlation 104 00:05:40,600 --> 00:05:44,080 Speaker 1: with stars and with sharks. Yeah, because the whole the 105 00:05:44,120 --> 00:05:47,640 Speaker 1: whole deal is, we're really interested in whale sharks, you know, 106 00:05:47,760 --> 00:05:49,760 Speaker 1: we want to know which ones which, what are they doing. 107 00:05:49,800 --> 00:05:52,720 Speaker 1: This is species that we would like to to stick 108 00:05:52,760 --> 00:05:54,600 Speaker 1: around for a while and we would like to learn 109 00:05:54,640 --> 00:05:57,560 Speaker 1: more about them. But how do you tell them apart? Right? Um, Well, 110 00:05:57,560 --> 00:06:01,480 Speaker 1: it turns out that the spots on their their their bodies, 111 00:06:01,560 --> 00:06:05,720 Speaker 1: especially prominent on their heads and their their head region. Uh, 112 00:06:05,760 --> 00:06:08,800 Speaker 1: they're all different. These are like the fingerprints of a 113 00:06:09,520 --> 00:06:12,720 Speaker 1: of a whale shark, so it's unique to each one, right, 114 00:06:12,960 --> 00:06:15,160 Speaker 1: But to the naked eye, it doesn't make any sense. 115 00:06:15,160 --> 00:06:18,160 Speaker 1: It's just like, oh, there's another giant fish with spots 116 00:06:18,160 --> 00:06:22,120 Speaker 1: on its head. But we can actually use the same program, 117 00:06:22,360 --> 00:06:26,200 Speaker 1: the same algorithm that's that's intended to make sense of 118 00:06:26,200 --> 00:06:28,719 Speaker 1: the night sky, and it can make sense of the 119 00:06:28,839 --> 00:06:31,760 Speaker 1: spots on a whale shark and actually identify individual whale 120 00:06:31,760 --> 00:06:36,640 Speaker 1: sharks to the point where just random divers who encounter 121 00:06:36,680 --> 00:06:38,400 Speaker 1: a whale shark can take a picture of it and 122 00:06:38,440 --> 00:06:42,840 Speaker 1: then they can send it in Um. To the Echocean, 123 00:06:42,920 --> 00:06:46,040 Speaker 1: which is e E C O C E a n 124 00:06:46,040 --> 00:06:50,960 Speaker 1: Echo Ocean Whale Shark Photo Identification Laboratory, and they're able 125 00:06:51,040 --> 00:06:54,080 Speaker 1: to through this through these users submitted to photos keep 126 00:06:54,120 --> 00:06:57,440 Speaker 1: tabs on, um, you know, close to two thousand whale 127 00:06:57,440 --> 00:06:59,440 Speaker 1: sharks around the world, which is really cool because it's 128 00:06:59,480 --> 00:07:03,159 Speaker 1: very much a public project as well. Yeah. Um. And 129 00:07:03,760 --> 00:07:06,520 Speaker 1: also the algorithm has been adapted to track the animals 130 00:07:06,880 --> 00:07:10,840 Speaker 1: North American populations as well, Yeah, using the unique whisker 131 00:07:10,920 --> 00:07:16,080 Speaker 1: markings on their muzzles. Yeah, so that's that's from NASA actually. Um. 132 00:07:16,240 --> 00:07:18,200 Speaker 1: So it's really interesting that they are trying to learn 133 00:07:18,200 --> 00:07:20,200 Speaker 1: about the stars and they were able to use this 134 00:07:20,360 --> 00:07:22,640 Speaker 1: to try to learn a little bit more about our 135 00:07:22,640 --> 00:07:25,120 Speaker 1: own environment. Right. And it's another great page from the 136 00:07:25,120 --> 00:07:30,400 Speaker 1: whole book of of space technology, improving life or improving 137 00:07:30,480 --> 00:07:35,560 Speaker 1: research on the planet itself, you know, hand me down technology, 138 00:07:35,640 --> 00:07:39,160 Speaker 1: but but very useful. This is another interesting NASA connection 139 00:07:39,440 --> 00:07:42,160 Speaker 1: that was a surprise to me but actually has to 140 00:07:42,160 --> 00:07:47,320 Speaker 1: do with Julia Child. Julia Child, Yeah, the famed chef TV, 141 00:07:47,480 --> 00:07:53,000 Speaker 1: one of the first but to just wonderful spirited woman 142 00:07:53,080 --> 00:07:56,080 Speaker 1: who who assured the American Palette into the twentieth century. 143 00:07:56,120 --> 00:07:58,200 Speaker 1: The reason really that we have to suffer through all 144 00:07:58,240 --> 00:08:03,400 Speaker 1: these more annoying TV chef today on various reality shows. Right, possibly, yes, 145 00:08:03,720 --> 00:08:06,240 Speaker 1: except she was nice. She was she was nice, and 146 00:08:06,280 --> 00:08:11,280 Speaker 1: she she Calaroche Booth Vignon that was awful. But you know, 147 00:08:11,440 --> 00:08:14,320 Speaker 1: she she has a lot of that she contributed to 148 00:08:14,320 --> 00:08:17,520 Speaker 1: our society. But people I think are pretty familiar with 149 00:08:17,520 --> 00:08:20,840 Speaker 1: the fact that she was a spy of sorts um 150 00:08:20,880 --> 00:08:23,000 Speaker 1: and this is from NPRS. The lady was a spy. 151 00:08:23,080 --> 00:08:26,120 Speaker 1: Julia Child worked for the OSS, which is a precursor 152 00:08:26,160 --> 00:08:28,680 Speaker 1: to the CIA. It was assigned to solve a problem 153 00:08:28,720 --> 00:08:31,280 Speaker 1: for the U s Naval forces during World War Two. 154 00:08:31,400 --> 00:08:34,920 Speaker 1: Sharks would bump into explosives that were placed underwater, setting 155 00:08:34,920 --> 00:08:36,959 Speaker 1: them off and warning the German U boats that they 156 00:08:36,960 --> 00:08:41,480 Speaker 1: were intended to sink. So they asked her to work 157 00:08:41,600 --> 00:08:47,280 Speaker 1: on a recipe as it were, of shark repellent and 158 00:08:47,400 --> 00:08:50,199 Speaker 1: um and together they all cooked up the shark repellent 159 00:08:50,440 --> 00:08:55,400 Speaker 1: and that was used to cope the explosives. So the 160 00:08:55,480 --> 00:08:58,800 Speaker 1: shark repellent recipe was then later used to protect astronauts 161 00:08:58,800 --> 00:09:02,280 Speaker 1: and space capsules landed in shark infested waters. Yeah, because 162 00:09:02,400 --> 00:09:05,240 Speaker 1: especially like the Apollopope program and everything. Um, you know, 163 00:09:05,240 --> 00:09:07,600 Speaker 1: they're returning to earthen the capsule capsule is landing in 164 00:09:07,760 --> 00:09:11,440 Speaker 1: the open ocean um in many cases, and you would 165 00:09:11,520 --> 00:09:14,600 Speaker 1: rather you're highly trained astronauts not get eaten by a 166 00:09:14,640 --> 00:09:17,600 Speaker 1: shark immediately. No, no, no, not after all that training. 167 00:09:17,720 --> 00:09:19,560 Speaker 1: That's just that that would be a big bummer. And 168 00:09:19,559 --> 00:09:21,520 Speaker 1: the Soviets were very interested in this as well. I 169 00:09:21,520 --> 00:09:25,360 Speaker 1: read a like a nineteen seventies something NASA report on 170 00:09:25,400 --> 00:09:27,520 Speaker 1: the Soviet interest and shark repell and there was you know, 171 00:09:27,559 --> 00:09:29,880 Speaker 1: there's a lot of interest and a lot of tests 172 00:09:29,920 --> 00:09:31,160 Speaker 1: and a lot of sort of oh, I don't know 173 00:09:31,160 --> 00:09:34,440 Speaker 1: if it works, so maybe it works enough, And generally 174 00:09:34,480 --> 00:09:36,720 Speaker 1: it would decided that it at least did worked, it 175 00:09:36,760 --> 00:09:39,080 Speaker 1: worked enough to use it, you know, like it was 176 00:09:39,120 --> 00:09:41,600 Speaker 1: better than nothing. Say, there was no other alternatives, so 177 00:09:42,320 --> 00:09:45,760 Speaker 1: no other alternates. Um, so, actually sharks have taught us 178 00:09:45,800 --> 00:09:48,920 Speaker 1: a lot, and definitely through bio mimicry as well. Yeah, 179 00:09:48,960 --> 00:09:52,600 Speaker 1: not just lessons in how to avoid them and how 180 00:09:52,640 --> 00:09:54,400 Speaker 1: to keep them from eating us, but yeah, we can 181 00:09:54,440 --> 00:09:56,040 Speaker 1: look at the shark and say, hey, that is an 182 00:09:56,040 --> 00:10:02,199 Speaker 1: excellent design. What can we learn from this evolution home design. Yeah, 183 00:10:02,280 --> 00:10:04,960 Speaker 1: and it turns out that their skin is of particular 184 00:10:05,080 --> 00:10:08,840 Speaker 1: interest first because it's able to move through water really quickly, right, 185 00:10:09,400 --> 00:10:13,200 Speaker 1: and second because it keeps bacteria at a minimum. Yeah. 186 00:10:13,240 --> 00:10:16,880 Speaker 1: The skin itself has these consists of these tiny tooth 187 00:10:16,920 --> 00:10:21,280 Speaker 1: like scales that prevents small eddies and vortices from forming, 188 00:10:21,840 --> 00:10:24,760 Speaker 1: which can slow you down. So it's it's so Speedo 189 00:10:25,080 --> 00:10:27,280 Speaker 1: was instantly interesting. Yeah. Yeah, and this is so cool 190 00:10:27,320 --> 00:10:29,680 Speaker 1: because they what they discovered is that that friction is 191 00:10:29,760 --> 00:10:32,800 Speaker 1: different over different parts of the shark's body. So the 192 00:10:32,920 --> 00:10:36,960 Speaker 1: skin on the shark, the texture changes to better manage 193 00:10:37,000 --> 00:10:40,440 Speaker 1: the flow of water. Huh. Yeah. And Speedo of course 194 00:10:40,760 --> 00:10:44,080 Speaker 1: was like, oh hey, we could apply this, we can 195 00:10:44,120 --> 00:10:46,040 Speaker 1: make some money off of this. Yeah. And it was 196 00:10:46,040 --> 00:10:48,840 Speaker 1: actually when this first made the rounds and the news, 197 00:10:48,920 --> 00:10:50,680 Speaker 1: there were some people that were like, is this really 198 00:10:50,720 --> 00:10:52,840 Speaker 1: fair that people can wait because they was, you know, 199 00:10:52,920 --> 00:10:55,760 Speaker 1: shaving some considerable time if you were wearing like a 200 00:10:55,800 --> 00:10:58,679 Speaker 1: full shark skin body suit. Where I think at the 201 00:10:58,720 --> 00:11:01,520 Speaker 1: actual name that this Peto product is a fast skin 202 00:11:01,840 --> 00:11:05,560 Speaker 1: one word, um, and I don't know, there's so there's 203 00:11:05,960 --> 00:11:07,679 Speaker 1: I can kind of get some of that argument, you know, 204 00:11:07,800 --> 00:11:12,080 Speaker 1: it's like can if they're they're improving their performance purely 205 00:11:12,120 --> 00:11:15,720 Speaker 1: through this awesome outfit. I mean maybe maybe I'm just 206 00:11:15,720 --> 00:11:17,920 Speaker 1: putting this out and maybe all competitive swimming should be 207 00:11:17,920 --> 00:11:21,640 Speaker 1: done naked, because then it's well, you know, Greek Olympic style. Yeah, 208 00:11:22,000 --> 00:11:25,000 Speaker 1: Olympic style. Okay, So I mean I would definitely think 209 00:11:25,000 --> 00:11:29,400 Speaker 1: that viewership would go up. Yeah, yeah, Um, it's a possibility. 210 00:11:29,559 --> 00:11:31,719 Speaker 1: I don't know. Maybe if they you know, to to 211 00:11:31,720 --> 00:11:33,640 Speaker 1: get around the TV sensors, maybe that they just dyed 212 00:11:33,679 --> 00:11:36,320 Speaker 1: the water like a real murky color and then it 213 00:11:36,320 --> 00:11:40,320 Speaker 1: would be you know, instantly, you know, covering any potential nudity. 214 00:11:40,360 --> 00:11:42,120 Speaker 1: They would show up right, you know, just to to 215 00:11:42,280 --> 00:11:46,000 Speaker 1: ratch it up the fun factor. They could put sharks 216 00:11:46,040 --> 00:11:50,240 Speaker 1: in the water while the naked swimmers. Yeah, but no, 217 00:11:50,360 --> 00:11:52,679 Speaker 1: I mean they really the suit I think made a 218 00:11:52,720 --> 00:11:56,000 Speaker 1: big difference. It's a three percent improvement in swimming speed 219 00:11:56,160 --> 00:11:59,680 Speaker 1: due to the original shark skin suit, which likely contributed 220 00:11:59,720 --> 00:12:02,280 Speaker 1: to the fact of the swimming medals one in the 221 00:12:02,320 --> 00:12:05,400 Speaker 1: two thousand Olympics were one by athletes wearing speedos fast 222 00:12:05,480 --> 00:12:08,800 Speaker 1: skin suits. Um and then also those some of the 223 00:12:08,800 --> 00:12:14,200 Speaker 1: swimmers broke thirteen of fifteen world records. That's that's I mean, 224 00:12:14,280 --> 00:12:16,120 Speaker 1: when you're talking about a tenth of a second here, 225 00:12:16,160 --> 00:12:19,120 Speaker 1: I mean that is that's that's that's a huge difference 226 00:12:19,120 --> 00:12:22,040 Speaker 1: in this sport. Um So Speedo has made further amount 227 00:12:22,040 --> 00:12:25,240 Speaker 1: of occasions of fat skin suit based on continued research 228 00:12:25,400 --> 00:12:28,760 Speaker 1: and it now has something like a four percent reduction 229 00:12:28,840 --> 00:12:32,640 Speaker 1: in friction. Well and the sharks of course getting no credit, 230 00:12:32,800 --> 00:12:37,000 Speaker 1: yeah none, yeah, yeah for you guys. Um, we've we've 231 00:12:37,080 --> 00:12:39,439 Speaker 1: used but we've also used the sharks skin technology for 232 00:12:39,520 --> 00:12:42,280 Speaker 1: other things. Um, we've been able to use this technology 233 00:12:42,320 --> 00:12:46,040 Speaker 1: to create a fast traveling ship holes that also deter 234 00:12:46,160 --> 00:12:50,240 Speaker 1: the attachment of underwater organisms, you know, like whatnot. And 235 00:12:50,520 --> 00:12:55,040 Speaker 1: m Australia's Biopower Systems has been working on a really 236 00:12:55,040 --> 00:12:58,720 Speaker 1: cool shark inspired innovation. Uh. The company hopes to anchor 237 00:12:58,800 --> 00:13:02,920 Speaker 1: mechanical fins based on you know, the shark's body in 238 00:13:02,960 --> 00:13:05,640 Speaker 1: the middle of sea currents in order to generate hydro 239 00:13:05,679 --> 00:13:07,439 Speaker 1: electric power. So it's kind of like a wind meal, 240 00:13:07,840 --> 00:13:10,520 Speaker 1: except yeah, in the ocean, and it looks like a 241 00:13:10,559 --> 00:13:14,559 Speaker 1: giant you know, whale, giant shark fit that is going 242 00:13:14,600 --> 00:13:17,480 Speaker 1: to scare the pants off of someone. It's just in 243 00:13:17,520 --> 00:13:20,040 Speaker 1: a boat having a nice leisurely day on the ocean, 244 00:13:21,240 --> 00:13:24,720 Speaker 1: or or scare the fast skin body suit off of 245 00:13:24,760 --> 00:13:27,000 Speaker 1: someone happens to you can just go over for the 246 00:13:27,080 --> 00:13:30,400 Speaker 1: naked thing here. Yeah, yeah, all right, we'll chew on that. Yeah, 247 00:13:30,480 --> 00:13:32,560 Speaker 1: we'll just leave on the naked note. Yea to chew 248 00:13:32,600 --> 00:13:35,320 Speaker 1: on that while we do a quick break, and we'll 249 00:13:35,320 --> 00:13:42,800 Speaker 1: be back right after that. This presentation is brought to 250 00:13:42,840 --> 00:13:50,640 Speaker 1: you by Intel Sponsors of Tomorrow and we're back all right. 251 00:13:50,920 --> 00:13:53,319 Speaker 1: I know you got some email there, Yeah, it's time 252 00:13:53,360 --> 00:13:56,120 Speaker 1: for a little listener mail. We actually quite a bit 253 00:13:56,360 --> 00:13:58,520 Speaker 1: um the other podcast we recorded this week with the 254 00:13:58,600 --> 00:14:01,559 Speaker 1: electronic music one, which went a little along. Starting to 255 00:14:01,559 --> 00:14:04,160 Speaker 1: get to to read some of the wonderful comments and 256 00:14:04,360 --> 00:14:08,520 Speaker 1: emails were received from everyone, but I have a handful here. First, 257 00:14:08,600 --> 00:14:11,880 Speaker 1: let's hear from j from Arkansas at Ja writes them. Hi, 258 00:14:12,080 --> 00:14:15,000 Speaker 1: Robert and Julie, longtime listening, huge fan of your podcasting blog. 259 00:14:15,320 --> 00:14:18,000 Speaker 1: I appreciate you covering the method of loki uh. This 260 00:14:18,080 --> 00:14:21,400 Speaker 1: of course was discussed in our Memory power eliso UM. 261 00:14:21,400 --> 00:14:24,520 Speaker 1: I have found it unusually helpful and extremely entertaining. I 262 00:14:24,560 --> 00:14:27,680 Speaker 1: can definitely identify with Julie's comment on how the very 263 00:14:27,680 --> 00:14:30,280 Speaker 1: premise of how this method works causes her to conjure 264 00:14:30,360 --> 00:14:33,480 Speaker 1: up dreamlike situations, which of course make them more memorable. 265 00:14:33,760 --> 00:14:36,160 Speaker 1: I am a very visual person and have adopted this 266 00:14:36,400 --> 00:14:39,720 Speaker 1: memory approach almost daily since listening to your podcast. I 267 00:14:39,800 --> 00:14:42,920 Speaker 1: have used it to memorize the original Thirteen Colonies, numerous 268 00:14:42,920 --> 00:14:46,120 Speaker 1: shopping lists, and also to wow friends by memorizing lists 269 00:14:46,120 --> 00:14:48,960 Speaker 1: of twenty plus random words in a very short period 270 00:14:49,000 --> 00:14:51,480 Speaker 1: of time. Most recently, I have used this method to 271 00:14:51,520 --> 00:14:54,120 Speaker 1: memorize all of the U S presidents in order. There 272 00:14:54,160 --> 00:14:58,000 Speaker 1: were definitely some colorful images generated to memorize that list. 273 00:14:58,440 --> 00:15:01,720 Speaker 1: Uh and he gives the example of puke cannon for 274 00:15:01,880 --> 00:15:07,080 Speaker 1: Buchanan and a tea glass that continually refills itself for fillmore. 275 00:15:09,040 --> 00:15:10,680 Speaker 1: Thanks again and keep up a great work. Well, that 276 00:15:10,760 --> 00:15:13,640 Speaker 1: was awesome to hear somebody take the method of Looky 277 00:15:13,760 --> 00:15:17,120 Speaker 1: the Memory Palace and start ramming it into their life 278 00:15:17,120 --> 00:15:20,360 Speaker 1: on a basis. Yeah, I'm still using it myself. Yeah yeah, 279 00:15:20,440 --> 00:15:22,840 Speaker 1: would you use it for last some appointments that I 280 00:15:22,880 --> 00:15:26,640 Speaker 1: needed to make? Uh? So yeah? Cool? Um. Here is 281 00:15:26,680 --> 00:15:31,360 Speaker 1: another listener email, and this is from Molly. Molly right 282 00:15:31,520 --> 00:15:33,680 Speaker 1: in and says, hey, guys, just finished listening to your 283 00:15:33,680 --> 00:15:37,560 Speaker 1: Space Religion podcast. Interesting. My immediate thoughts when you mentioned 284 00:15:37,680 --> 00:15:42,280 Speaker 1: designing a religion Stranger in a Strange Land by Robert Hyland. Granted, 285 00:15:42,400 --> 00:15:45,040 Speaker 1: this is kind of the opposite of what you mentioned 286 00:15:45,080 --> 00:15:47,720 Speaker 1: in this case of Martian who is really human but 287 00:15:47,840 --> 00:15:50,360 Speaker 1: raised as a Martian by Martians, comes to Earth and 288 00:15:50,360 --> 00:15:52,880 Speaker 1: designs a religion. Here excellent book if you haven't read it. 289 00:15:53,200 --> 00:15:56,720 Speaker 1: Interesting thought provoking ideas about the nature and need of 290 00:15:56,760 --> 00:15:59,360 Speaker 1: religion and the nature of humans at any rate. I 291 00:15:59,440 --> 00:16:02,240 Speaker 1: gave the pot guest loved the mentions of my favorite books, 292 00:16:02,360 --> 00:16:05,480 Speaker 1: music movies, for instance, a shout out to Doune in 293 00:16:05,520 --> 00:16:08,760 Speaker 1: this one. Um, and then she also mentioned Robert Anton 294 00:16:08,800 --> 00:16:14,000 Speaker 1: Wilson as being particularly interesting along these lines. Uh so, yeah, 295 00:16:14,040 --> 00:16:16,080 Speaker 1: I have actually not read Stranger in the Strange Line. 296 00:16:16,080 --> 00:16:18,760 Speaker 1: It's it's definitely on the list, but your summer reading 297 00:16:18,840 --> 00:16:21,320 Speaker 1: list maybe I don't know. My reading list is out 298 00:16:21,320 --> 00:16:23,320 Speaker 1: of control. Yeah, I've seen that stack of books in 299 00:16:23,440 --> 00:16:26,840 Speaker 1: your dusk But but no, I was really, uh really 300 00:16:26,840 --> 00:16:28,360 Speaker 1: pleased with some of the feedback we got on this 301 00:16:28,400 --> 00:16:30,920 Speaker 1: because we actually we didn't get any like crazy grumpy 302 00:16:31,080 --> 00:16:33,680 Speaker 1: feedback from I think anyone, like everybody that has something 303 00:16:33,680 --> 00:16:35,920 Speaker 1: to say. It was you all along the lines of oh, 304 00:16:35,960 --> 00:16:38,520 Speaker 1: I think I think you know space and religion means this. 305 00:16:38,720 --> 00:16:41,040 Speaker 1: I think it means that, and several people wrote in 306 00:16:41,080 --> 00:16:44,480 Speaker 1: with the examples of of space religions from science fiction. 307 00:16:44,840 --> 00:16:49,560 Speaker 1: I think somebody on Twitter mentioned the religion that shows 308 00:16:49,640 --> 00:16:53,840 Speaker 1: up in the Warhammer forty thousand universe, which is uh 309 00:16:53,880 --> 00:16:56,920 Speaker 1: a gaming tabletop gaming kind of universe. But there's definitely 310 00:16:56,920 --> 00:16:59,560 Speaker 1: a lot of a lot of ideas that are brought 311 00:16:59,600 --> 00:17:03,640 Speaker 1: together in that regarding what a science fiction interplanetary species 312 00:17:03,680 --> 00:17:07,080 Speaker 1: religion would consist of. Um. So it was a pleasure 313 00:17:07,119 --> 00:17:08,440 Speaker 1: to hear all that. Yeah, and I think that we 314 00:17:08,440 --> 00:17:11,040 Speaker 1: are fortunate to have such a thoughtful audience with a 315 00:17:11,040 --> 00:17:15,040 Speaker 1: lot of moxie. I might add moxie mind blowers out there. 316 00:17:15,680 --> 00:17:18,560 Speaker 1: I'm gonna read just one quick one here before we close, 317 00:17:18,840 --> 00:17:22,200 Speaker 1: And this is from James responding to our Funnier Dive podcast, 318 00:17:22,640 --> 00:17:24,679 Speaker 1: which we also we receive a lot of cool stuff 319 00:17:25,400 --> 00:17:29,280 Speaker 1: um later later, but that he just wanted to throw 320 00:17:29,320 --> 00:17:32,480 Speaker 1: in some some quick funny words and he said, supple 321 00:17:33,720 --> 00:17:38,080 Speaker 1: pork loin, I love that one and toot. So he 322 00:17:38,119 --> 00:17:39,840 Speaker 1: also said that anything with loin in it is going 323 00:17:39,880 --> 00:17:43,400 Speaker 1: to be pretty funny tender loin loincloth, and and yeah 324 00:17:43,440 --> 00:17:50,000 Speaker 1: it's it's a funny shop, pork shop. Yeah. All right. 325 00:17:50,920 --> 00:17:53,280 Speaker 1: So there you have it. If you have anything you 326 00:17:53,280 --> 00:17:55,160 Speaker 1: would like to add, anything you would like to share 327 00:17:55,240 --> 00:17:57,879 Speaker 1: with us, you can find us on Twitter and Facebook. 328 00:17:58,119 --> 00:18:00,000 Speaker 1: We are Blow the Mind on both of those feet, 329 00:18:00,400 --> 00:18:02,520 Speaker 1: and you can also drop us a line at blow 330 00:18:02,560 --> 00:18:09,480 Speaker 1: the Mind at how stuff works dot com. Be sure 331 00:18:09,520 --> 00:18:12,440 Speaker 1: to check out our new video podcast, Stuff from the Future. 332 00:18:12,760 --> 00:18:15,080 Speaker 1: Join how Stuff Work staff as we explore the most 333 00:18:15,080 --> 00:18:17,960 Speaker 1: promising and perplexing possibilities of tomorrow.