1 00:00:02,320 --> 00:00:04,680 Speaker 1: I guess what will what's that mango? So you know 2 00:00:04,760 --> 00:00:08,280 Speaker 1: those Golden records that traveled on the Voyager spacecraft, Yeah, 3 00:00:08,280 --> 00:00:11,000 Speaker 1: they were loaded up with greetings and different languages and 4 00:00:11,039 --> 00:00:14,800 Speaker 1: these concertos. It wasn't actually Johnny be Good on there too. Yeah, 5 00:00:14,800 --> 00:00:17,200 Speaker 1: that's right, there's some Chuck Berry on the record. But 6 00:00:17,560 --> 00:00:19,759 Speaker 1: I was reading this new book by Nick Pines, and 7 00:00:19,920 --> 00:00:22,599 Speaker 1: it's called Spying on Whales, and one of the things 8 00:00:22,640 --> 00:00:24,800 Speaker 1: he says is that there are actually whale songs on 9 00:00:24,840 --> 00:00:27,840 Speaker 1: that record as well. So in the venties, scientists had 10 00:00:27,920 --> 00:00:30,720 Speaker 1: just discovered that whales have these complex songs that they 11 00:00:30,720 --> 00:00:34,040 Speaker 1: repeat in loops, and each whale improvises on that loop. 12 00:00:34,080 --> 00:00:37,640 Speaker 1: It's really remarkable. But Pines's point is that in the 13 00:00:37,680 --> 00:00:41,600 Speaker 1: nearly fifty years since, we still don't really understand these songs. 14 00:00:41,880 --> 00:00:44,239 Speaker 1: But even then we find them so intriguing and so 15 00:00:44,320 --> 00:00:46,360 Speaker 1: beautiful that we're happy to throw them on a record 16 00:00:46,360 --> 00:00:49,920 Speaker 1: in case aliens might find them interesting too. But reading 17 00:00:49,920 --> 00:00:52,440 Speaker 1: this book made me think we should really dig into whales, 18 00:00:52,560 --> 00:00:55,520 Speaker 1: like why are they so large? How do they sustain 19 00:00:55,600 --> 00:00:58,400 Speaker 1: these massive bodies? I mean, these creatures are bigger than 20 00:00:58,560 --> 00:01:02,120 Speaker 1: any dinosaurs that have relived and also, why do they 21 00:01:02,120 --> 00:01:27,319 Speaker 1: have belly buttons? Let's dive in. Yea, hey there, podcast listeners, 22 00:01:27,360 --> 00:01:29,720 Speaker 1: Welcome to Part Time Genius. I'm Will Pearson and as 23 00:01:29,760 --> 00:01:32,200 Speaker 1: always I'm joined by my good friend man Guesshot Ticketer 24 00:01:32,600 --> 00:01:34,880 Speaker 1: and the man on the other side of the soundproof glass. 25 00:01:35,080 --> 00:01:38,320 Speaker 1: Not fully prepared today, Mango. I do see. He's got 26 00:01:38,680 --> 00:01:41,319 Speaker 1: eBay up on his computer and he's looking up all 27 00:01:41,360 --> 00:01:46,520 Speaker 1: of these Shammoo tshirts Shamoo coffee mugs. So he's probably 28 00:01:46,520 --> 00:01:48,120 Speaker 1: gonna order some of those. I don't know when he's 29 00:01:48,120 --> 00:01:51,280 Speaker 1: gonna wear them. I'm a little bit disappointed, but I'm 30 00:01:51,320 --> 00:01:53,280 Speaker 1: sure he'll get something. But that's our good friend and 31 00:01:53,320 --> 00:01:57,000 Speaker 1: producer Tristan McNeil. Now today on the program, we're chatting 32 00:01:57,000 --> 00:01:59,960 Speaker 1: with Nick Pyinson. He's the curator of Fossil Marine may 33 00:02:00,000 --> 00:02:04,200 Speaker 1: Emmals at the Smithsonian Institute's National Museum of Natural History, 34 00:02:04,240 --> 00:02:06,680 Speaker 1: which is of course in Washington, d C. And he's 35 00:02:06,720 --> 00:02:10,040 Speaker 1: the author of this wonderful new book called Spying on Whales, 36 00:02:10,360 --> 00:02:14,120 Speaker 1: The Past, Present, and Future of Earth's most awesome creatures. 37 00:02:14,639 --> 00:02:17,519 Speaker 1: Nick Piinson, Welcome to Part Time Genius. Happy to be here. 38 00:02:18,160 --> 00:02:20,120 Speaker 1: So going way back, one of the one of the 39 00:02:20,200 --> 00:02:23,360 Speaker 1: first things I stumbled into when when reading your book 40 00:02:23,360 --> 00:02:27,160 Speaker 1: here was that the first whales were land dwelling creatures 41 00:02:27,200 --> 00:02:29,960 Speaker 1: the size of a German shepherd, that they walked on 42 00:02:30,080 --> 00:02:33,040 Speaker 1: four legs and even had the snout instead of a blowhole. 43 00:02:33,080 --> 00:02:35,280 Speaker 1: And I have to admit, Nick, when when I first 44 00:02:35,320 --> 00:02:38,680 Speaker 1: saw this fact, I thought, Oh, this guy might not 45 00:02:38,760 --> 00:02:42,320 Speaker 1: know what a whale is like. That is not describing 46 00:02:42,360 --> 00:02:44,720 Speaker 1: a whale. So can you explain them? I mean, that 47 00:02:44,880 --> 00:02:48,040 Speaker 1: is so bizarre to both know that that connection is 48 00:02:48,080 --> 00:02:50,359 Speaker 1: there and then to know how that connection is there. 49 00:02:50,400 --> 00:02:51,959 Speaker 1: So can you talk us through this a little bit. 50 00:02:52,200 --> 00:02:54,079 Speaker 1: Let's go back to have a whale in your head, 51 00:02:54,120 --> 00:02:56,800 Speaker 1: and you're probably imagining a humpback whale or a killer 52 00:02:56,800 --> 00:03:01,960 Speaker 1: whale and just looking at the basics of its DNA 53 00:03:02,080 --> 00:03:06,680 Speaker 1: to know genealogical relationships. That whale in your head is 54 00:03:06,720 --> 00:03:10,960 Speaker 1: most closely related to mammals that have four legs and 55 00:03:11,080 --> 00:03:14,000 Speaker 1: live on land for the most part, so that those 56 00:03:14,040 --> 00:03:19,200 Speaker 1: are deer, pigs, cattle, sheep, m hippos, which are semi aquatic. 57 00:03:19,400 --> 00:03:21,840 Speaker 1: They swim in the water pretty well. But if you 58 00:03:21,919 --> 00:03:25,320 Speaker 1: have four weight bearing limbs and whales really don't look 59 00:03:25,320 --> 00:03:28,040 Speaker 1: like that. At all. So they released whales had four 60 00:03:28,080 --> 00:03:30,079 Speaker 1: weight bearing limbs. It makes them look a lot like 61 00:03:31,000 --> 00:03:34,760 Speaker 1: their near relatives today. But in the process of about 62 00:03:34,880 --> 00:03:38,760 Speaker 1: ten million years, we have this great fossil record of 63 00:03:38,840 --> 00:03:43,000 Speaker 1: how they've transformed, the loss of hind limbs, the transformation 64 00:03:43,040 --> 00:03:46,240 Speaker 1: of four limbs into paddles, and then all the changes 65 00:03:46,280 --> 00:03:50,920 Speaker 1: that happened to their skulls. Because when they undergo these transitions, 66 00:03:51,040 --> 00:03:53,840 Speaker 1: especially like this one from land to see, well, you're 67 00:03:54,040 --> 00:03:56,480 Speaker 1: you know, vision has to change, how you smell changes, 68 00:03:56,800 --> 00:04:00,280 Speaker 1: how you here changes. We have that documented in the 69 00:04:00,320 --> 00:04:03,080 Speaker 1: fossil record. What sort of timeline are we looking at here, like, 70 00:04:03,120 --> 00:04:06,480 Speaker 1: what what when does this dog sort of appear on 71 00:04:06,480 --> 00:04:09,320 Speaker 1: on Earth? You should be really careful and say dog like. 72 00:04:09,680 --> 00:04:16,080 Speaker 1: Dog like dogs are a completely different group of mamma um. 73 00:04:16,279 --> 00:04:19,719 Speaker 1: So this happens in about the space of a ten 74 00:04:19,800 --> 00:04:24,159 Speaker 1: million years, from fifty to about forty million years ago. 75 00:04:24,680 --> 00:04:29,240 Speaker 1: And this time period is interesting because it's during a 76 00:04:29,360 --> 00:04:32,960 Speaker 1: period that was the last greenhouse Earth, and that's the 77 00:04:33,040 --> 00:04:37,000 Speaker 1: last time in Earth history that we had global carbon 78 00:04:37,040 --> 00:04:40,800 Speaker 1: dioxide concentrations that are closest to the ones that we 79 00:04:40,839 --> 00:04:43,520 Speaker 1: may head to in the coming century or two. Whales 80 00:04:43,600 --> 00:04:48,200 Speaker 1: evolved in an island archipelago that bordered the equator, so 81 00:04:48,560 --> 00:04:53,119 Speaker 1: um territory that is now India, Pakistan, Afghanistan, the entire 82 00:04:53,120 --> 00:04:57,279 Speaker 1: Middle East that used to be a giant equatorial seaway 83 00:04:58,000 --> 00:05:01,200 Speaker 1: today that's now been reduced to the meta Ranian but 84 00:05:01,360 --> 00:05:04,520 Speaker 1: fifty plus million years ago that was open waters, and 85 00:05:04,560 --> 00:05:07,760 Speaker 1: there happened to be this giant archipelago of of land. 86 00:05:08,400 --> 00:05:11,080 Speaker 1: And you know, if you read anything about evolution on island, 87 00:05:11,120 --> 00:05:13,919 Speaker 1: you know, crazy stuff happens. So I'm not so surprised 88 00:05:13,960 --> 00:05:17,800 Speaker 1: that the earliest whales happened in this setting. You know, Nick, 89 00:05:17,839 --> 00:05:20,480 Speaker 1: there's some great illustrations in the book, and one is 90 00:05:20,520 --> 00:05:24,120 Speaker 1: of this Basilosaurus, and I guess this was one of 91 00:05:24,120 --> 00:05:28,440 Speaker 1: the first fully aquatic whales. And supposedly this whale had 92 00:05:28,640 --> 00:05:31,919 Speaker 1: one of the strongest bites of any mammal ever, or 93 00:05:32,040 --> 00:05:34,080 Speaker 1: at least as you've said here. So so how do 94 00:05:34,120 --> 00:05:37,200 Speaker 1: we know this? That's a great question. So one of 95 00:05:37,200 --> 00:05:40,600 Speaker 1: the ways that we can figure out how strong UH 96 00:05:40,640 --> 00:05:44,760 Speaker 1: an extinct organism might bite UM is by modeling it. 97 00:05:44,920 --> 00:05:47,599 Speaker 1: So you can create a computer model based on the 98 00:05:47,680 --> 00:05:53,000 Speaker 1: digital data the geometry of that animal's teeth or its 99 00:05:53,040 --> 00:05:56,400 Speaker 1: skull I'd say especially teeth plus skull, because you want 100 00:05:56,440 --> 00:06:00,240 Speaker 1: to know the bone that's holding the business end of 101 00:06:00,279 --> 00:06:03,560 Speaker 1: whatever is chomping down. And when people have done those 102 00:06:03,600 --> 00:06:06,840 Speaker 1: computational analyzes and they do it with basil Saurus, which 103 00:06:06,880 --> 00:06:09,960 Speaker 1: again had a three ft long skull, So one, they're 104 00:06:10,000 --> 00:06:12,320 Speaker 1: not that many mammals with teeth that have three ft 105 00:06:12,360 --> 00:06:15,560 Speaker 1: long skulls. A polar bear may have a skull that's 106 00:06:15,720 --> 00:06:19,960 Speaker 1: um for long, that's barely that's not even a foot 107 00:06:20,000 --> 00:06:22,919 Speaker 1: and a half. But basil Saurus had a three ft 108 00:06:22,920 --> 00:06:26,080 Speaker 1: long skull with these giant teeth that are the size 109 00:06:26,120 --> 00:06:29,400 Speaker 1: of your palm um. So the numbers that you get 110 00:06:29,400 --> 00:06:32,039 Speaker 1: are that it has a bite force unrivaled by any 111 00:06:32,040 --> 00:06:34,400 Speaker 1: other mammal. So Nick, well, one thing I still don't 112 00:06:34,480 --> 00:06:37,440 Speaker 1: understand is how did wales get so big and why 113 00:06:37,440 --> 00:06:40,440 Speaker 1: did they stop growing? Like why does a hundred ten 114 00:06:40,560 --> 00:06:42,600 Speaker 1: foot body work for them? But maybe not a two 115 00:06:42,800 --> 00:06:46,400 Speaker 1: d foot body. So that's that's a question I tried 116 00:06:46,440 --> 00:06:50,000 Speaker 1: to explore in the book, which and emphasize that um 117 00:06:50,040 --> 00:06:55,600 Speaker 1: getting big over evolutionary time is really a set of tradeoffs. 118 00:06:55,920 --> 00:06:58,920 Speaker 1: There's a lot of reasons that it might be advantageous 119 00:06:58,960 --> 00:07:01,760 Speaker 1: to get really big. Okay, then there are a lot 120 00:07:01,760 --> 00:07:03,680 Speaker 1: of reasons why it may not be. It seems like 121 00:07:03,760 --> 00:07:05,919 Speaker 1: for filter feeding whales they only get big in the 122 00:07:05,960 --> 00:07:09,320 Speaker 1: last few million years. Uh. And what's interesting about that 123 00:07:09,400 --> 00:07:13,720 Speaker 1: time frame is, in contrast to greenhouse Earth, during the 124 00:07:13,720 --> 00:07:17,160 Speaker 1: first few million years of whale evolution, the last few 125 00:07:17,160 --> 00:07:21,040 Speaker 1: million years have been happening under ice age Earth, a 126 00:07:21,160 --> 00:07:24,000 Speaker 1: time when we have ice caps both south and north. 127 00:07:24,440 --> 00:07:28,720 Speaker 1: Global oceans became patchier in space and time in terms 128 00:07:28,720 --> 00:07:31,520 Speaker 1: of their resources with the onset of the ice ages. 129 00:07:31,960 --> 00:07:34,520 Speaker 1: So these kind of these natural history films where you 130 00:07:34,560 --> 00:07:38,760 Speaker 1: see giant schools of fish and bait balls and kill 131 00:07:38,840 --> 00:07:42,240 Speaker 1: aggregations that happen off the coast of South Africa or 132 00:07:42,280 --> 00:07:45,240 Speaker 1: off of Chile or off of California, those are very 133 00:07:45,280 --> 00:07:48,600 Speaker 1: recent geologic phenomena which haven't really been around that long. 134 00:07:48,920 --> 00:07:52,520 Speaker 1: And we think this is deeply tied to the selective 135 00:07:52,520 --> 00:07:57,080 Speaker 1: forces that allowed whales to become big. So migrating the 136 00:07:57,120 --> 00:08:00,480 Speaker 1: long distances to arrive at those places where food is 137 00:08:00,640 --> 00:08:04,040 Speaker 1: very dense in space and time, being big helps, But 138 00:08:04,120 --> 00:08:06,960 Speaker 1: on the cost side, if you're a lunch feeding whale, 139 00:08:07,400 --> 00:08:09,640 Speaker 1: you really can't be much bigger than about a dred 140 00:08:09,680 --> 00:08:13,040 Speaker 1: and ten feet otherwise you can't close your mouth fast enough. 141 00:08:13,560 --> 00:08:16,400 Speaker 1: So that's those are the trade offs with getting big. Now, 142 00:08:16,480 --> 00:08:19,200 Speaker 1: could a different kind of whale get much bigger? Maybe, 143 00:08:19,720 --> 00:08:22,640 Speaker 1: but that hasn't yet evolved in as far far as 144 00:08:22,640 --> 00:08:25,240 Speaker 1: we know. I think you talk about the whales traveling, 145 00:08:25,280 --> 00:08:29,080 Speaker 1: I'm curious. I know different types of whales travel different distances, 146 00:08:29,120 --> 00:08:31,680 Speaker 1: but but how long are we talking for some whales? 147 00:08:33,040 --> 00:08:36,120 Speaker 1: So some whales don't range that far, but others do. 148 00:08:36,320 --> 00:08:39,200 Speaker 1: In these filter feeding whales, So ones that are like 149 00:08:39,480 --> 00:08:42,800 Speaker 1: um humpbacks or blue whales or minky whales, they can 150 00:08:42,960 --> 00:08:47,240 Speaker 1: range over tens of thousands of miles. Um gray whales, 151 00:08:47,280 --> 00:08:51,680 Speaker 1: for example, have no problem, it seems, migrating twenty thousand miles. 152 00:08:52,200 --> 00:08:56,800 Speaker 1: Humpbacks will migrate from Maui in Hawaii to the Panhandle 153 00:08:56,800 --> 00:09:00,800 Speaker 1: of Alaska every year. That's a scale that I really 154 00:09:00,800 --> 00:09:02,959 Speaker 1: tried to convey in the book, is that whales range 155 00:09:02,960 --> 00:09:06,880 Speaker 1: over entire ocean basins in many cases, so they're living 156 00:09:06,920 --> 00:09:09,839 Speaker 1: at these big scales. That's a way that whales are 157 00:09:09,840 --> 00:09:12,920 Speaker 1: teaching us about these bigger ideas about how oceans work. 158 00:09:13,640 --> 00:09:16,280 Speaker 1: Um that I think is really important. Nick. We've got 159 00:09:16,360 --> 00:09:18,599 Speaker 1: so many more questions, but we've got to take a 160 00:09:18,600 --> 00:09:37,480 Speaker 1: little break first. Welcome back to Part time Genius. We're 161 00:09:37,480 --> 00:09:40,160 Speaker 1: here with Nick Pinson. You know what, when you were 162 00:09:40,160 --> 00:09:43,520 Speaker 1: discussing the size of a whale and how they can 163 00:09:43,520 --> 00:09:46,920 Speaker 1: only get so large because they need their jaws to 164 00:09:46,920 --> 00:09:50,320 Speaker 1: climb fast enough to get the food. I was fascinated 165 00:09:50,360 --> 00:09:53,079 Speaker 1: by some of the different strategies that whales used to 166 00:09:53,200 --> 00:09:55,400 Speaker 1: hunt that you've described, and I was curious if you 167 00:09:55,400 --> 00:09:57,400 Speaker 1: could sort of go through some of those, because like 168 00:09:57,440 --> 00:10:00,200 Speaker 1: the way they can hold their breath and die, I've 169 00:10:00,280 --> 00:10:03,440 Speaker 1: deep or or almost turned their jaws into parachutes, or 170 00:10:03,440 --> 00:10:06,040 Speaker 1: how some pirouette when they lunch. It was just really 171 00:10:06,040 --> 00:10:08,559 Speaker 1: beautiful and I'd love for the listeners to be able 172 00:10:08,559 --> 00:10:10,520 Speaker 1: to hear some of that stuff. Sure, I mean, I 173 00:10:10,520 --> 00:10:13,360 Speaker 1: think it goes back to this idealized whale that you 174 00:10:13,400 --> 00:10:18,000 Speaker 1: have in your head. Um it oversimplifies the incredible diversity 175 00:10:18,120 --> 00:10:21,040 Speaker 1: of living whales to say nothing about all the crazy 176 00:10:21,040 --> 00:10:24,560 Speaker 1: extinct ones that we know of. But among the living whales, 177 00:10:24,800 --> 00:10:27,720 Speaker 1: you'll see some have a mustachioed fringe hanging from the 178 00:10:27,760 --> 00:10:32,040 Speaker 1: top of their mouth that's baling, and so those are 179 00:10:32,040 --> 00:10:34,880 Speaker 1: the filter feeding whales. That's one group. The other one 180 00:10:35,080 --> 00:10:38,199 Speaker 1: are toothed whales. Now some of the tooth whales have teeth, 181 00:10:38,320 --> 00:10:42,800 Speaker 1: others don't, but they all echolocate. They use a form 182 00:10:42,840 --> 00:10:47,320 Speaker 1: of biological sonar to navigate to hunt. The filter feeding 183 00:10:47,360 --> 00:10:52,440 Speaker 1: ones will use their mustachioed fringe of baleing to capture 184 00:10:53,240 --> 00:10:56,800 Speaker 1: aggregates of prey in bulk, so you're making the highest 185 00:10:56,800 --> 00:11:00,320 Speaker 1: return on the investment of feeding style. And some of 186 00:11:00,320 --> 00:11:02,840 Speaker 1: these filter feeders will lunge the way a blue whale 187 00:11:02,840 --> 00:11:08,000 Speaker 1: whelle or a humpback um. Others do a style of 188 00:11:08,200 --> 00:11:10,679 Speaker 1: filter feeding called skim feeding. So these are like bowheads 189 00:11:10,679 --> 00:11:14,480 Speaker 1: and right whales where they'll hover around the surface and 190 00:11:14,600 --> 00:11:17,640 Speaker 1: they're not team gulps, they're just kind of passing through 191 00:11:17,679 --> 00:11:21,439 Speaker 1: a giant super organism of prey. For the other group 192 00:11:21,679 --> 00:11:24,960 Speaker 1: of whales, the tooth whales, they use echolocation and in 193 00:11:25,000 --> 00:11:27,840 Speaker 1: some cases, these are the deep diving ones that will 194 00:11:27,880 --> 00:11:32,559 Speaker 1: dive thousands of feet deep in search of prey sperm whales, 195 00:11:32,679 --> 00:11:36,400 Speaker 1: beaked whales, um, even many oceanic dolphins. A bottom nosed 196 00:11:36,400 --> 00:11:40,360 Speaker 1: dolphins will dive very very deep um beyond the reach 197 00:11:40,400 --> 00:11:42,800 Speaker 1: of light for their prey and The way how you 198 00:11:42,840 --> 00:11:44,280 Speaker 1: can do that is if you have a way of 199 00:11:44,400 --> 00:11:48,440 Speaker 1: navigating an underwater world without light, and that's using sound. 200 00:11:49,080 --> 00:11:53,240 Speaker 1: This is an outstanding question, is why haven't um whale 201 00:11:53,280 --> 00:11:56,880 Speaker 1: prey tooth whale prey evolve defenses against echolocation because it 202 00:11:56,920 --> 00:12:01,120 Speaker 1: seems like a supremely advantageous tour and to hunt um. 203 00:12:01,160 --> 00:12:03,800 Speaker 1: And that's it's still not entirely well known. And that's 204 00:12:03,800 --> 00:12:06,840 Speaker 1: in part because we don't actually see whales feeding at depths. 205 00:12:07,000 --> 00:12:10,000 Speaker 1: I mean, this whole story of the squid in the whale, 206 00:12:10,559 --> 00:12:13,959 Speaker 1: sperm whales feeding on giant squid, nobody's ever seen that. 207 00:12:14,120 --> 00:12:17,520 Speaker 1: We see the effects of that. We would all love 208 00:12:17,600 --> 00:12:18,959 Speaker 1: to see it. I mean, that's just one of these 209 00:12:19,000 --> 00:12:21,600 Speaker 1: amazing you know, if you could ever get a BBC 210 00:12:21,840 --> 00:12:24,800 Speaker 1: film crew to film it, that would be awesome. That's 211 00:12:24,840 --> 00:12:26,560 Speaker 1: we've never seen it, so we have to infer it 212 00:12:27,120 --> 00:12:31,040 Speaker 1: either from gut contents or the scars or chunks of 213 00:12:31,880 --> 00:12:37,560 Speaker 1: giant squid tentacles that float around sperm whales after they 214 00:12:37,559 --> 00:12:39,960 Speaker 1: come to the surface. Um. It's just there's a lot 215 00:12:40,000 --> 00:12:42,120 Speaker 1: about whale science that we don't see directly, so we 216 00:12:42,160 --> 00:12:44,520 Speaker 1: have to be clever about how we study it. Well, 217 00:12:44,720 --> 00:12:46,760 Speaker 1: it seems for you know, not for lack of trying 218 00:12:46,800 --> 00:12:50,760 Speaker 1: that because you talk about that echolocation and how it's 219 00:12:50,800 --> 00:12:54,559 Speaker 1: so sophisticated in some whales that you know, even our 220 00:12:54,559 --> 00:12:58,160 Speaker 1: military has invested, especially in the sixties, so much in 221 00:12:58,800 --> 00:13:03,680 Speaker 1: studying that ability to echolocate. Why is it so much 222 00:13:03,679 --> 00:13:06,760 Speaker 1: more sophisticated than what we're able to create with you know, 223 00:13:06,800 --> 00:13:10,360 Speaker 1: computers and all the technology that we have. Well, I mean, 224 00:13:10,559 --> 00:13:14,040 Speaker 1: whales had the advantage of evolution of tens of millions 225 00:13:14,080 --> 00:13:20,000 Speaker 1: of years of evolution for that, right, um, evolution in 226 00:13:20,000 --> 00:13:23,360 Speaker 1: an in an environment that's actually really complex and has 227 00:13:23,360 --> 00:13:25,080 Speaker 1: properties that are very different from the one that we 228 00:13:25,120 --> 00:13:27,959 Speaker 1: operate in daily. I mean, water is a different medium 229 00:13:27,960 --> 00:13:32,120 Speaker 1: and has different properties for the physics of signals moving 230 00:13:32,160 --> 00:13:35,160 Speaker 1: through it, whether it's sound or light. Whales have had 231 00:13:35,160 --> 00:13:38,520 Speaker 1: tens of millions of years to evolve solutions to that. 232 00:13:38,920 --> 00:13:42,080 Speaker 1: So one thing I didn't realize before this was how 233 00:13:42,160 --> 00:13:45,080 Speaker 1: long a whale could live. And in your chapter on 234 00:13:45,240 --> 00:13:48,320 Speaker 1: architect time machines, you talk about bowhead whales and how 235 00:13:48,679 --> 00:13:51,719 Speaker 1: finding harpoons actually helped us determine their lifespens. Can you 236 00:13:51,720 --> 00:13:55,000 Speaker 1: talk a little bit about that? Absolutely, I mean, it's 237 00:13:55,080 --> 00:13:59,840 Speaker 1: I think surprising people to realize that Americans whale today. 238 00:14:00,240 --> 00:14:03,080 Speaker 1: It just doesn't happen typically in the lower forty eight States, 239 00:14:03,200 --> 00:14:08,600 Speaker 1: but many indigenous cultures in the Arctic require marine mammal 240 00:14:08,640 --> 00:14:13,160 Speaker 1: met as sustance, that's food for how people live and 241 00:14:13,360 --> 00:14:17,160 Speaker 1: um this is ongoing in the North Slope of Alaska, 242 00:14:17,760 --> 00:14:23,080 Speaker 1: and by recovering some of these bowhead whale carcasses, what 243 00:14:23,560 --> 00:14:27,680 Speaker 1: scientists have found is tools embedded in these uh in 244 00:14:27,720 --> 00:14:30,640 Speaker 1: the bodies of these bowhead whales that clearly came from 245 00:14:30,640 --> 00:14:34,520 Speaker 1: a different era of hunting. These harpoon heads are almost 246 00:14:34,600 --> 00:14:37,440 Speaker 1: like iPhones or smartphones in some ways, and that you 247 00:14:37,480 --> 00:14:41,040 Speaker 1: can tell when they must have been embedded in the 248 00:14:41,080 --> 00:14:46,400 Speaker 1: body based on their technologic so you know exactly so 249 00:14:46,440 --> 00:14:49,640 Speaker 1: there was a changeover from stone harpoons to metal harpoons 250 00:14:49,640 --> 00:14:53,000 Speaker 1: in the nineteenth century. And you know that the whale 251 00:14:53,040 --> 00:14:56,680 Speaker 1: that was um an unsuccessful strike must have been an 252 00:14:56,720 --> 00:14:59,200 Speaker 1: adult when it was hit, because the juvenile would not 253 00:14:59,200 --> 00:15:01,600 Speaker 1: have survived. So that whale that was collected in the 254 00:15:01,640 --> 00:15:04,360 Speaker 1: late twentieth century in this case must have been well 255 00:15:04,360 --> 00:15:07,000 Speaker 1: over a hundred years old, and the best guess was 256 00:15:07,000 --> 00:15:10,360 Speaker 1: about a hundred and thirty and that exactly parallels the 257 00:15:10,440 --> 00:15:13,160 Speaker 1: kind of data you can get from biological tissues from 258 00:15:13,200 --> 00:15:16,560 Speaker 1: their ovaries, so different lines of evidence. You're telling us 259 00:15:16,640 --> 00:15:19,920 Speaker 1: that bowhead whales are able to live much more than 260 00:15:19,960 --> 00:15:21,840 Speaker 1: a century, and some of the Muno acity it was 261 00:15:21,880 --> 00:15:25,240 Speaker 1: coming back with data of two hundred years, and so 262 00:15:26,880 --> 00:15:29,880 Speaker 1: that's that's I mean, it seems unbelievable. But I think 263 00:15:29,920 --> 00:15:32,400 Speaker 1: the implication of that is that there are whales that 264 00:15:32,440 --> 00:15:37,280 Speaker 1: have lived through the entire rise and fall of major 265 00:15:37,440 --> 00:15:41,400 Speaker 1: historical events in human history, like industrial whaling, or the 266 00:15:41,520 --> 00:15:44,880 Speaker 1: rise of atomic weapons testing um or you know, you 267 00:15:44,960 --> 00:15:47,880 Speaker 1: name it. In terms of our technological innovation or the 268 00:15:47,880 --> 00:15:51,320 Speaker 1: things we put out in the environment. Whales, individual whales 269 00:15:51,320 --> 00:15:54,400 Speaker 1: have persisted through that. So by if we were able 270 00:15:54,480 --> 00:15:58,040 Speaker 1: to study these whales in whatever form, they probably could 271 00:15:58,040 --> 00:16:01,320 Speaker 1: tell us a lot about what has happened to the environment. Fortunately, 272 00:16:01,360 --> 00:16:04,160 Speaker 1: in places like the Smithsonian we have bohead balin that 273 00:16:04,240 --> 00:16:06,760 Speaker 1: goes back while well over a hundred and fifty years. 274 00:16:07,240 --> 00:16:11,240 Speaker 1: If balein is able to tell us about isotopic history, 275 00:16:11,320 --> 00:16:15,960 Speaker 1: so the chemical history of the environment, then these these 276 00:16:16,000 --> 00:16:19,160 Speaker 1: pieces of bohead balein from the nineteenth century before fossil 277 00:16:19,200 --> 00:16:21,360 Speaker 1: fuels were burned. Could tell us a lot about how 278 00:16:21,400 --> 00:16:25,960 Speaker 1: the world has changed. That's really interesting. So you know, 279 00:16:26,240 --> 00:16:29,200 Speaker 1: one thing you mentioned there was whaling, and I was 280 00:16:29,240 --> 00:16:32,280 Speaker 1: fascinated that you actually worked or observed at a whaling 281 00:16:32,320 --> 00:16:35,320 Speaker 1: station in Iceland. And I kind of wouldn't have expected 282 00:16:35,320 --> 00:16:39,000 Speaker 1: that commercial whaling and this pure scientific study would have 283 00:16:39,040 --> 00:16:41,200 Speaker 1: intersected like that. Can you talk a little bit about 284 00:16:41,200 --> 00:16:43,680 Speaker 1: like why you chose to work there and how it 285 00:16:43,720 --> 00:16:47,920 Speaker 1: benefited your understanding of wales. Whaling is something that's happened 286 00:16:47,960 --> 00:16:50,680 Speaker 1: for thousands of years in human history and it still 287 00:16:50,680 --> 00:16:55,440 Speaker 1: goes on today. Um, many people have emotional reactions to it, 288 00:16:55,920 --> 00:17:00,440 Speaker 1: for sure, and it's hunting like any other mammal hunting, 289 00:17:00,920 --> 00:17:03,960 Speaker 1: so it goes All the issues that you may have 290 00:17:04,040 --> 00:17:07,679 Speaker 1: with big game hunting are certainly applied to whaling. And 291 00:17:07,720 --> 00:17:11,439 Speaker 1: there's two main forms today that it happens in commercial whaling, 292 00:17:11,800 --> 00:17:15,359 Speaker 1: which is undertaken by Iceland and Norway, so they see 293 00:17:15,359 --> 00:17:20,000 Speaker 1: whaling as no different from a fishery um, and they 294 00:17:20,119 --> 00:17:24,600 Speaker 1: sell the meat that's collected that's that's from a killed whale. Uh. 295 00:17:24,600 --> 00:17:26,560 Speaker 1: And then the other form of whaling is so called 296 00:17:26,600 --> 00:17:29,600 Speaker 1: scientific whaling that happens in Japan, you know, and for 297 00:17:29,680 --> 00:17:32,880 Speaker 1: the ladder, I would say that that's agenda driven science, 298 00:17:32,880 --> 00:17:36,479 Speaker 1: and we should always be skeptical of agenda driven science 299 00:17:36,880 --> 00:17:38,840 Speaker 1: because that's saying that you kind of know the answer 300 00:17:38,920 --> 00:17:41,680 Speaker 1: before you go out and look for it. UM. And 301 00:17:42,080 --> 00:17:44,320 Speaker 1: you know, whaling happens in a social context. And it's 302 00:17:44,320 --> 00:17:48,320 Speaker 1: clear that scientific whaling in Japan is not really about 303 00:17:48,320 --> 00:17:50,840 Speaker 1: the science, because we can answer those questions that they 304 00:17:50,880 --> 00:17:54,840 Speaker 1: have using non lethal waves. That is certainly true. So 305 00:17:55,240 --> 00:17:58,720 Speaker 1: scientific whaling really doesn't have that much of a reason 306 00:17:58,760 --> 00:18:02,160 Speaker 1: for existing commerce. Show whaling, well, that's within the sovereignty 307 00:18:02,160 --> 00:18:05,600 Speaker 1: of those nations UM. And from my standpoint as a 308 00:18:05,680 --> 00:18:13,000 Speaker 1: scientist UM, having a relationship with those industrial operations, especially 309 00:18:13,040 --> 00:18:16,400 Speaker 1: in Iceland, has been a boon to understanding some key 310 00:18:16,440 --> 00:18:19,760 Speaker 1: parts of the anatomy of these lunch feeding whales, and 311 00:18:20,200 --> 00:18:23,320 Speaker 1: it's providing information that we wouldn't otherwise have, and that 312 00:18:23,359 --> 00:18:25,800 Speaker 1: has to do with the logistics of working with very 313 00:18:25,880 --> 00:18:30,480 Speaker 1: large carcasses. So a seventy foot fin whale carcass that's 314 00:18:30,520 --> 00:18:33,800 Speaker 1: freshly killed gives you information that you really couldn't otherwise get, 315 00:18:33,960 --> 00:18:37,960 Speaker 1: certainly from a stranded whale when whales strand one, you 316 00:18:38,000 --> 00:18:40,359 Speaker 1: don't have the equipment at your disposal. Usually don't have 317 00:18:40,400 --> 00:18:43,879 Speaker 1: twenty men with giant knives and steam driven winches to 318 00:18:43,960 --> 00:18:48,040 Speaker 1: manipulate and rotate the carcass and pull different parts of 319 00:18:48,040 --> 00:18:51,560 Speaker 1: the anatomy into some way that you can actually study it. 320 00:18:52,119 --> 00:18:54,679 Speaker 1: Um And certainly the tissue is not as fresh, and 321 00:18:54,720 --> 00:18:57,640 Speaker 1: when tissue decays, it's far less useful for some kinds 322 00:18:57,680 --> 00:19:00,399 Speaker 1: of questions, especially if you're looking at nervous tissue or 323 00:19:00,480 --> 00:19:03,919 Speaker 1: muscle tissue. So um, the kind of opportunity you have 324 00:19:04,040 --> 00:19:07,760 Speaker 1: at a commercial whaling station is really different from any 325 00:19:07,760 --> 00:19:10,879 Speaker 1: other opportunity. That situation is the same that's applied to 326 00:19:10,960 --> 00:19:16,000 Speaker 1: indigenous hunting. I've colleagues who work in Alaska and opportunistically 327 00:19:16,119 --> 00:19:20,560 Speaker 1: sample from bowhead once. It's the same kinds of anatomical 328 00:19:20,640 --> 00:19:23,760 Speaker 1: questions that you can't answer from a stranded whale. So 329 00:19:23,800 --> 00:19:27,240 Speaker 1: that was what those are kind of the the circumstances 330 00:19:27,320 --> 00:19:30,119 Speaker 1: that allowed us to work in Iceland and yielded all 331 00:19:30,160 --> 00:19:32,960 Speaker 1: the insights that I talked about in the book. Well, 332 00:19:32,960 --> 00:19:35,680 Speaker 1: what is the population of you know, many of the 333 00:19:35,960 --> 00:19:39,159 Speaker 1: better known species of whale these days, and how does 334 00:19:39,200 --> 00:19:42,120 Speaker 1: that compare to where it was, you know, a couple 335 00:19:42,240 --> 00:19:45,320 Speaker 1: hundred years ago or a thousand years ago. How are 336 00:19:45,400 --> 00:19:48,320 Speaker 1: whales doing in general? I guess that's the question many 337 00:19:48,320 --> 00:19:50,919 Speaker 1: of the whales that were hunted during industrial whaling, especially 338 00:19:50,960 --> 00:19:53,960 Speaker 1: in the twentieth century, when many of the populations for 339 00:19:54,080 --> 00:19:58,840 Speaker 1: many species were brought down plus percent from their baselines. 340 00:19:59,480 --> 00:20:03,359 Speaker 1: So blue whales now, um, the global population of blue 341 00:20:03,359 --> 00:20:08,360 Speaker 1: whales is probably around one to five of its starting 342 00:20:08,400 --> 00:20:11,320 Speaker 1: point in the twentieth century, and some two hundred three 343 00:20:11,359 --> 00:20:15,040 Speaker 1: hundred seven hundred thousand blue whales were killed in the 344 00:20:15,040 --> 00:20:19,720 Speaker 1: process of the twentieth century alone. Uh. That's certainly lower 345 00:20:19,800 --> 00:20:23,760 Speaker 1: genetic diversity. That's lowered the individual number of the population. 346 00:20:24,640 --> 00:20:26,960 Speaker 1: It's changed where those whales are in the world, and 347 00:20:27,240 --> 00:20:31,159 Speaker 1: maybe even where they migrate, and maybe by extension, the 348 00:20:32,080 --> 00:20:35,119 Speaker 1: structure and function of ocean food webs, by removing that 349 00:20:35,160 --> 00:20:38,560 Speaker 1: scale biomass. And it's not just blue whales of course, humpbacks, 350 00:20:38,640 --> 00:20:42,760 Speaker 1: minky whales, say whales. So the legacy of whaling on 351 00:20:42,880 --> 00:20:47,760 Speaker 1: world's whales uh is vast, and we don't in many 352 00:20:47,800 --> 00:20:52,240 Speaker 1: cases have that pre whaling baseline. So it's left whale 353 00:20:52,280 --> 00:20:54,760 Speaker 1: scientists to infer that and the two main ways to 354 00:20:54,800 --> 00:20:59,920 Speaker 1: infer it are either from calculations using current genetic diver 355 00:21:00,520 --> 00:21:03,160 Speaker 1: to estimate what the population size was in the past 356 00:21:03,280 --> 00:21:06,480 Speaker 1: using DNA, and the other approaches look at whaling records 357 00:21:06,640 --> 00:21:09,400 Speaker 1: and look at catch records and try to infer and 358 00:21:09,640 --> 00:21:12,040 Speaker 1: we get different magnitudes when we look at those two 359 00:21:12,040 --> 00:21:14,040 Speaker 1: lines of evidence, but in both cases they tell us 360 00:21:14,080 --> 00:21:17,400 Speaker 1: there were many, many more whales before whaling. Now, whaling 361 00:21:17,440 --> 00:21:21,440 Speaker 1: today doesn't really happen at that scale. A fewer than 362 00:21:21,480 --> 00:21:26,320 Speaker 1: a thousand whales are killed every year by whaling total globally, 363 00:21:27,119 --> 00:21:31,000 Speaker 1: whaling has some serious ethics and geopolitics with it. Um. 364 00:21:31,000 --> 00:21:33,640 Speaker 1: It doesn't seem like it's going away, and it doesn't 365 00:21:33,680 --> 00:21:36,560 Speaker 1: seem like as big of a problem to me as 366 00:21:37,000 --> 00:21:40,359 Speaker 1: global fisheries and our appetite for seafood. That's really what's 367 00:21:40,400 --> 00:21:44,960 Speaker 1: causing a lot of the major harm towards whales. Um. 368 00:21:45,000 --> 00:21:47,040 Speaker 1: You know, I think a whale killed by a harpoon 369 00:21:47,480 --> 00:21:51,040 Speaker 1: probably dies in a more humane fashion than whales that 370 00:21:51,240 --> 00:21:54,240 Speaker 1: are entangled in nets. What's ethical and what's humane about 371 00:21:54,320 --> 00:21:57,800 Speaker 1: whales is not just a question for scientists, but when 372 00:21:57,840 --> 00:21:59,920 Speaker 1: we come to the facts of just how many more 373 00:22:00,000 --> 00:22:02,360 Speaker 1: palities there are per year. You know, that's I think 374 00:22:02,359 --> 00:22:04,720 Speaker 1: where we should listen to scientists, and science shouldn't form 375 00:22:04,760 --> 00:22:08,040 Speaker 1: policy much better. Okay, well, we have several more questions 376 00:22:08,040 --> 00:22:09,640 Speaker 1: for you, Nick, but before we get to those, let's 377 00:22:09,680 --> 00:22:26,760 Speaker 1: take a quick break. Welcome back to Part time Genius. 378 00:22:26,760 --> 00:22:28,920 Speaker 1: We're here with the author of a wonderful new book 379 00:22:28,920 --> 00:22:31,879 Speaker 1: called Spying on Whales, the past, present, and future of 380 00:22:31,960 --> 00:22:35,680 Speaker 1: Earth's most awesome creatures. You know, I think when people 381 00:22:36,119 --> 00:22:39,800 Speaker 1: imagine whales other than size, one of the things they 382 00:22:39,800 --> 00:22:42,439 Speaker 1: think about it first are are the whale sounds? The 383 00:22:42,440 --> 00:22:47,040 Speaker 1: whale noises and communication. Over the past few decades, are 384 00:22:47,080 --> 00:22:51,159 Speaker 1: we getting a better sense of what exactly these whales 385 00:22:51,160 --> 00:22:53,159 Speaker 1: are trying to communicate with one another or is it 386 00:22:53,280 --> 00:22:56,399 Speaker 1: still this great mystery? Oh, I'd say it's still a 387 00:22:56,440 --> 00:23:00,199 Speaker 1: great mystery. I mean, it's clear that whales communicate to 388 00:23:00,320 --> 00:23:06,160 Speaker 1: each other with uh information rich waves. That content of 389 00:23:06,200 --> 00:23:08,959 Speaker 1: the signal that they're using to communicate with each other 390 00:23:09,000 --> 00:23:13,720 Speaker 1: acoustically is saying a lot. Now what it means we 391 00:23:13,800 --> 00:23:16,320 Speaker 1: don't really know. We don't have a context for that meaning, 392 00:23:16,640 --> 00:23:18,640 Speaker 1: so we don't know if they're saying, like, hey, lunch 393 00:23:18,680 --> 00:23:22,560 Speaker 1: is over there, or the answer to the universe is blank, 394 00:23:22,880 --> 00:23:27,239 Speaker 1: you know. I mean, it's just it's fundamentally inscrutable. We 395 00:23:27,280 --> 00:23:29,280 Speaker 1: really haven't hacked that, and I think that has a 396 00:23:29,280 --> 00:23:33,560 Speaker 1: lot to do with the complexity of whales on the 397 00:23:33,560 --> 00:23:35,960 Speaker 1: one hand and the environment they live in on the other. 398 00:23:36,320 --> 00:23:39,000 Speaker 1: And our best ways to investigate that are whales in captivity, 399 00:23:39,040 --> 00:23:41,720 Speaker 1: which may be doing something very different from what whales 400 00:23:41,720 --> 00:23:44,960 Speaker 1: in the wild are doing. Uh. And again that's logistically 401 00:23:45,000 --> 00:23:48,680 Speaker 1: really challenging to do. Uh. And mysteries aren't bad things 402 00:23:48,680 --> 00:23:50,919 Speaker 1: in science. Mysteries, I think are great things in a 403 00:23:50,960 --> 00:23:54,800 Speaker 1: source of inspiration and creativities. So I'm actually you know, 404 00:23:54,840 --> 00:23:56,280 Speaker 1: as I say in the book, I think this is 405 00:23:56,320 --> 00:23:59,680 Speaker 1: the golden age for whale science. We're learning more about 406 00:23:59,680 --> 00:24:02,919 Speaker 1: whale in more ways than we ever have before. So 407 00:24:02,960 --> 00:24:08,800 Speaker 1: I'm really hopeful and um enthusiastics see what future scientists do. 408 00:24:09,640 --> 00:24:11,960 Speaker 1: You know, nick I, I loved reading about all the 409 00:24:12,000 --> 00:24:14,640 Speaker 1: adventures you go on in this book, but I also 410 00:24:14,680 --> 00:24:18,159 Speaker 1: really love just the little details I hadn't thought about whales, like, um, 411 00:24:18,200 --> 00:24:20,040 Speaker 1: that they have belly buttons, or that they can be 412 00:24:20,119 --> 00:24:22,920 Speaker 1: right or left handed, or that they you know, come 413 00:24:22,960 --> 00:24:25,880 Speaker 1: up to breathe in a synchronized manner. I think it's 414 00:24:25,880 --> 00:24:28,879 Speaker 1: really wonderful. But Spying with Whales is really such a 415 00:24:28,920 --> 00:24:31,840 Speaker 1: fascinated book. I I was wondering, what do you hope 416 00:24:31,840 --> 00:24:35,199 Speaker 1: readers get out of it? Yeah, this boy, there's a 417 00:24:35,200 --> 00:24:37,240 Speaker 1: lot of things I hope readers get out of it. 418 00:24:37,440 --> 00:24:43,000 Speaker 1: One of the big messages I think is that, um, 419 00:24:43,040 --> 00:24:46,800 Speaker 1: there's there's amazing aspects of the natural world everywhere. It's 420 00:24:46,800 --> 00:24:49,159 Speaker 1: not just with whales. It could be with trees, it 421 00:24:49,200 --> 00:24:53,879 Speaker 1: can be with insects. There's amazing things to know about 422 00:24:54,000 --> 00:24:58,439 Speaker 1: the world. But how we know about things is really 423 00:24:58,720 --> 00:25:01,880 Speaker 1: a question that science delivers on in a real way. 424 00:25:02,200 --> 00:25:04,800 Speaker 1: And I think science can be intimidating to a lot 425 00:25:04,840 --> 00:25:07,640 Speaker 1: of people who don't have background in science, or maybe 426 00:25:07,640 --> 00:25:11,920 Speaker 1: didn't like science in school, or um just don't really 427 00:25:11,960 --> 00:25:14,000 Speaker 1: get it. And what I really wanted to do in 428 00:25:14,040 --> 00:25:16,639 Speaker 1: the book was to tell stories about how we know, 429 00:25:17,080 --> 00:25:19,080 Speaker 1: and to tell those stories by way of telling the 430 00:25:19,119 --> 00:25:22,119 Speaker 1: people involved with him, so that the stories of science 431 00:25:22,160 --> 00:25:26,320 Speaker 1: become stories about people because people are doing the science. 432 00:25:26,400 --> 00:25:29,560 Speaker 1: You know, science doesn't happen in a vacuum, and that 433 00:25:29,720 --> 00:25:36,600 Speaker 1: science is not straightforward and cookbook like it happens serendipitously, 434 00:25:37,080 --> 00:25:39,720 Speaker 1: it happens from a lot of hard work. It can 435 00:25:39,720 --> 00:25:43,919 Speaker 1: be random. Um. So there's all these unusual aspects about 436 00:25:43,920 --> 00:25:46,520 Speaker 1: how science is done that I think people may not appreciate, 437 00:25:47,000 --> 00:25:49,119 Speaker 1: and that the way to share those stories is to 438 00:25:49,160 --> 00:25:52,840 Speaker 1: share those stories of discovery is in a biographical way. 439 00:25:53,560 --> 00:25:55,399 Speaker 1: So that's really something I try to do in the book, 440 00:25:55,480 --> 00:25:57,879 Speaker 1: was that a narrative about science is really a narrative 441 00:25:57,920 --> 00:26:02,159 Speaker 1: about scientists. If that makes any sense. It does, so, 442 00:26:02,440 --> 00:26:04,199 Speaker 1: you know, Mego and I both found this book to 443 00:26:04,200 --> 00:26:06,959 Speaker 1: be so delightful. I hope our listeners will check it out. 444 00:26:07,000 --> 00:26:10,160 Speaker 1: It's called Spying on Whales, the past, present, and future 445 00:26:10,200 --> 00:26:13,479 Speaker 1: of Earth's most awesome creatures, and it's on shelves everywhere. 446 00:26:13,520 --> 00:26:16,000 Speaker 1: But Nick, thanks so much for joining us today, No problem, 447 00:26:16,040 --> 00:26:31,920 Speaker 1: happy to be here. Thanks again for listening. Part Time 448 00:26:31,960 --> 00:26:34,159 Speaker 1: Genius is a production of how stuff works and wouldn't 449 00:26:34,200 --> 00:26:36,960 Speaker 1: be possible without several brilliant people who do the important 450 00:26:36,960 --> 00:26:40,120 Speaker 1: things we couldn't even begin to understand. Tristan McNeil does 451 00:26:40,119 --> 00:26:42,399 Speaker 1: the editing thing. Noel Brown made the theme song and 452 00:26:42,440 --> 00:26:45,359 Speaker 1: does the mixy mixy sound thing. Jerry Rowland does the 453 00:26:45,359 --> 00:26:48,439 Speaker 1: exact producer thing Gay Bluesier is our lead researcher, with 454 00:26:48,480 --> 00:26:51,600 Speaker 1: support from the Research Army including Austin Thompson, Nolan Brown 455 00:26:51,640 --> 00:26:53,840 Speaker 1: and Lucas Adams and Eve Jeff Cook gets the show 456 00:26:53,880 --> 00:26:56,000 Speaker 1: to your ears. Good job, Eves. If you like what 457 00:26:56,040 --> 00:26:58,040 Speaker 1: you heard, we hope you'll subscribe, And if you really 458 00:26:58,080 --> 00:26:59,800 Speaker 1: really like what you've heard, maybe you could leave a 459 00:26:59,800 --> 00:27:02,240 Speaker 1: good review for us. Did we? Did we forget Jason? 460 00:27:02,480 --> 00:27:03,080 Speaker 1: Jason who