Dec. 9, 2024

The Intersection of Shark Conservation and Community Safety: Dr. Chris Lowe's Journey

The Intersection of Shark Conservation and Community Safety: Dr. Chris Lowe's Journey

In this episode of the Beyond Jaws podcast, Dr. Chris Lowe discusses the future of the Shark Lab at California State University, Long Beach, reflecting on its past research and the challenges it currently faces. Key Points: California Shark Beach...

In this episode of the Beyond Jaws podcast, Dr. Chris Lowe discusses the future of the Shark Lab at California State University, Long Beach, reflecting on its past research and the challenges it currently faces.

Key Points:

  • California Shark Beach Safety Program: The Shark Lab has been instrumental in developing this state-funded program in response to the increasing presence of white sharks along California beaches. The program focuses on providing lifeguards with essential information to ensure public safety while also protecting the sharks.

  • Research and Technology: The lab has utilized advanced technologies such as acoustic telemetry, satellite telemetry, drones, and stable isotopes to monitor white shark populations and their behaviors. This research has led to significant insights into shark behavior, including their interactions with humans and their feeding patterns.

  • Education and Outreach: The Shark Lab has implemented educational programs for lifeguards, recreational fishers, and K-12 students to improve understanding and safety regarding sharks. These initiatives aim to reduce fear and promote conservation by educating the public about shark behavior and the ecological importance of these animals.

  • Funding Challenges: Despite the success of the Shark Lab's programs, funding has become a critical issue. The lab is currently facing budget cuts and has had to lay off staff. Dr. Lowe is actively seeking private funding to sustain and expand the lab's research and outreach efforts.

  • Future Directions: Dr. Lowe emphasizes the importance of continued research and public education to foster a better understanding of sharks. He believes that with proper funding, the lab can answer complex questions about shark behavior and ecology that were previously thought impossible.

In summary, while the Shark Lab has made significant strides in shark research and public education, its future depends on securing adequate funding to continue its vital work in conservation and community safety.

The Shark Lab: https://www.csulb.edu/shark-lab

Connect with us:

Website: https://bit.ly/37TMqeK
Instagram: https://bit.ly/3eorwXZ
YouTube: https://www.youtube.com/@beyondjawspodcast7591

Dave: 
Website: https://www.lostsharkguy.com/
Instagram: https://bit.ly/3q1J9Q5

Andrew:
Website: https://www.speakupforblue.com/
Instagram: https://bit.ly/37g5WkG

 

Transcript
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Welcome back to another fantastic episode of

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the beyond jaws podcast on today's episode We have dr.

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Chris Lowe from Cal State University, Long Beach the

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shark lab we're gonna be talking about updates from the shark lab

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how they are working with lifeguards with

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outreach with schools and City counselors

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and it's just it's an amazing program talking about great whites We get into

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the deep research that they've been doing not only from a

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shark science perspective but also from psychology of

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people and how they look at great whites how they

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See swimming with great whites and how they are adapting to doing

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that. It's a lot of fun I can't wait to start the show. So here we

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go Hey, everybody, welcome back to another exciting episode of the Beyond Jaws

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podcast. I'm your host, Andrew Lewin, co-host Andrew Lewin, here

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with my co-host, Dr. David Ebert. Dave, are you ready to

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not necessarily go beyond Jaws, but we're going to be talking about a Jaws-like species,

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Absolutely, Andrew. I'm looking so forward to this. We have had Chris on a couple

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of years ago, one of our early episodes. Fantastic guest. He

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shared a lot, having grown up in Martha's Vineyard while they were filming

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Jaws. So he had a lot of intimate knowledge and here he is, you

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know, 50 years later, hate to age ourselves, but he's back

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out here and basically doing the

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same type of thing they're trying to figure out in the movie Jaws, like how to keep the

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communities from going bankrupt by shark activity off the beaches. And

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it's a quite a high tech story. He tells something that he

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didn't really expect on his journey as being a shark researcher, I'm

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really looking forward to it and hopefully anyone listening out

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there, Chris is also looking for some funding to keep the shark lab going

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Absolutely. You can reach out to us. We'll put you in touch with Chris. If

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you are looking to put some money where

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you want to see an application on science, especially with

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white sharks, I think it's going to be great. So here is the episode with Dr.

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Chris Lowe from the Cal State University Long

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Beach Shark Lab. Enjoy the interview and we'll talk to you

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after. Hey, Chris, welcome back to the Beyond Jaws podcast. Are

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Well, we're here to welcome back Dr. Chris Lowe. who's a

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professor of marine biology at California State University, Long Beach,

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and he's also the director of the Shark Lab at Long

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Beach State as well. He's also a former president of the American Alasma

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Brank Society and acquisted his PhD at

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the University of Hawaii. And prior to that, he did his master's at

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California State University, Long Beach under Don Nelson, who was one

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of the real legends in the field of shark research, shark telemetry, and

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was one of the founders of the American Alasma Brank Society.

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And Chris was on episode 15 of ours back

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in February of 2022. And he's here today to catch

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up and see what Chris has been up to. So, Chris, welcome to the show. Thanks

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for having me. It's always fun. Cool. Yeah. So, well,

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so what do you so in the last couple of years, Chris, what have you been up to? with

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I've been keeping very busy. Yeah. So

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I would say the thing that's kept me the most busy is

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the development of the California Shark Beach Safety Program, which is a

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state funded program because there are all these white

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sharks showing up off California beaches. Funny. Yeah.

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And people were a little concerned. So it's actually

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a really cool story because it's a conservation success story for

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California, right? White sharks were protected in 1994. Prior

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to that they were caught and killed in commercial fisheries. People were probably eating

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them and they didn't know it. And then in

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94 protection was put in place and since then we've seen kind of numbers tick

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up. So a lot of people keep telling me where are

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all these sharks coming from. And we've spent years trying

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to figure that out, like what explains this? But

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in reality, the bottom line is protection was key, right?

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The babies weren't being killed anymore in the commercial fisheries because they're

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now protected. But it was also protection of marine mammals that

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was critical. And the recovery of those populations have fed

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the adult population, allowing probably for a lot of this recovery.

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And it's not just California that's seen this. The Northeast has seen this.

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Australia has seen this. So in other places where white sharks are protected

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and their food sources have come back, white sharks have too. So, you

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know, while us conservation people are going, yay, conservation works,

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not everybody was cheering. So the lifeguards who are

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responsible for keeping people safe were coming to us going, what is

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going on with all these sharks on the beach? Is it safe for people to be in

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the water? And that was when we got money

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from the state. So we had been working with all the ocean lifeguards, tagging

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sharks and trying to figure out how much time they're spending off beaches and where

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they're coming from, you know, monitoring the population size.

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But we had no money. We were getting a little bit of money from Monterey Bay Aquarium. And

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when one of our local assembly members found

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out how little money we had, that was when he went to

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Sacramento and we co-authored a bill. And then

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we got $3.75 million to develop the California Shark Beach

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Safety Program. And the whole purpose of that program was

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to work directly with lifeguards to provide them with information they

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would need to keep people safe. But I always had

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to remind them that white sharks are protected in California, and

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we also have to focus on keeping sharks safe as well. So

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the whole program was kind of dedicated to that. So

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we get to ramp up our research program. So we really get to

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focus on questions like, why are these sharks here? How long are

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they going to be here? What are they eating while they're there? How often are they near

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people? When are they going to leave? That's what the lifeguards wanted to know. So

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by using all these combinations of technology, acoustic telemetry, satellite

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telemetry, BRUVs, we were doing stable

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isotopes, we were doing eDNA, we're

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flying drones, we're using all this technology to

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monitor a population from San Diego all the way to Monterey.

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So that program, actually, we

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learned a lot about white sharks from those five years of

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funding that we got. And then, of course, we had an education and outreach program

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that went hand in hand with that. So our education program had

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certain clients, right? So one of our clients in our education program

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were lifeguards. So we have in California some of the best

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lifeguards in the world. They are really some of the most skilled

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lifeguards in the world, but they're not marine biologists. So

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a lot of them have a hard time identifying a lot of the sharks and

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rays that are along our coast. So we developed an education program

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for them. So we teach them how to identify all these animals, how

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to interpret shark behavior, which becomes really important in deciding if

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you're going to close a beach or not. So that education program

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is now instituted statewide. All the ocean lifeguards use that

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program. In addition, we have recreational fishers

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that are fishing off our beaches. And now there's a lot of sharks hanging out

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off our beaches that are actually prohibited, right? So it is

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illegal for them to target them. And sometimes they incidentally

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catch them. So we teach them how to avoid catching them.

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And if they do catch them, how to release them safely for both them and

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the shark. So a lot of these education programs that we put together

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have formal curricula. We work with sport fishing groups, things like that.

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And then of course we have K through 12. So we

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have a whole education program for them. It's called Operation Stem

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Bait Sharks and Robots. And we have four curricula designed

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for different age groups. We go into classrooms, we work with science teachers, and

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they meet California Next Generation Science Standards. And

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basically, our philosophy is to get kids interested using

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sharks and robots in the STEM field. So can we get them interested

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in science, technology, engineering, and math? And

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if you can't use sharks and robots to get kids interested in

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STEM, then we've failed. So that

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program has been so popular, it's literally exploded. So

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I just got money from NOAA to run a one-year pilot, and

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we're paying students to go into classrooms and work with teachers to deliver the

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curriculum. We also have a big outreach program. So during

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the summer I hire a bunch of undergrads that are trained to go out. We call them shark shacks.

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They're pop-ups. And we hit 26 beaches in Southern California

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several times. We go to all the ocean piers and we educate

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the public about beach safety. We talk about stingrays and we

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talk about sea jellies and we talk about sharks and rip currents and all those things. And

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the reason why we do that is we don't want to scare them, just think it's just

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sharks they need to be aware of. It's these other marine

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safety issues. Yeah. And that's really important for our

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Let me ask you this, going back to the beginning when you said

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the counselor noticed how you didn't have, like in LA, didn't

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have a lot of money coming through, what made the counselor, you

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know, start to like perk up and be like, well, we need to have like

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a better you know, a better system. We need

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to have money for this system. Was was he someone that

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you were connected through or she sorry, like was

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it was a person that was interested in sharks? Like how

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Actually, it's kind of funny. He's he lives right across from the

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university. Okay. He was kind of known for his he

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was a teacher before becoming an assembly member. And

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he was kind of known for supporting education. So he would come

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to the university and say, you know, how can I help the university? Can

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we write some legislation that will help the university? And

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they said, well, you know, we have all these programs. And he goes, well, I've been hearing on

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the news about this shark lab group going

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out and studying sharks. And my daughter is in junior lifeguards. And

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she came back and told us all about what she's learned about sharks. So

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he said, and I also heard in the news that there are all these sharks in the

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beaches, but you don't have enough money to tag them. You have

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all the technology, you have the skill, you have the people, you

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just don't have the money. So that was what started

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That's fantastic. Talk about like how things happen just

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through connections, right? Daughter

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was a junior lifeguard learning about the shark program. He sees

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probably you or one of your students on the

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news. Because I know we've talked about this before on this podcast. You

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value science communication. And you've always had

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a bit of a knack for talking

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to the press and going out to the press to bring up

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and be able to talk about stories. So you just never know who's watching and

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Yeah, absolutely. And, and that's something that, you know, as

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Dave, as Dave knows, I'm on the international shark

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attack file board and I, and I investigate shark bites on

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the West coast. So, you know, one of the things that I've

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kind of stepped into is, you know, when these bites occur, they get

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a lot of media attention and it usually goes national or international. If

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those bites occur in spring or summer, the beginning of beach season in

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North America, right? So what

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I've been able to do is educate a lot of these reporters that

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I've built relationships with to get off the story

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of, oh my God, there was a deadly shark bite

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at this beach to, you know, there are a lot of sharks around

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the coast. Why are they there? And why do these things

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occasionally occur? So, you know, I think that's

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one of the things that we focused on is, you know, in terms of educating a

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lot of groups, educating reporters has been a really important mission.

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and building those relationships and getting them to change the

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tune, right? Right. So it's going from being an

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alarmist to being, you know, these things do

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occasionally occur. Guess what? We're learning about white sharks. And

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I think that's really been instrumental in helping us get this

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money because it's taking pressure off a lot of these communities

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that come from kind of over overly dramatic

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press. And then it's helped them understand that

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the more they learn, the calmer people are when these

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things happen. So I think in terms of protecting

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sharks, that's really important, right? Because we're seeing shark populations come

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back. And the more they come back, the more they're going to be around people.

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And the higher the likelihood for a negative interaction. So

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therefore, we've got to start educating our public on

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to what to expect. So I think dealing

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with the news and reporters has been a really

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important part of that formula. and has enabled us

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to kind of tamp down concerns based

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on, here, look what we're learning. This is why the sharks are there. Shark

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bites are super rare. In fact, this is how rare they are. Sharks

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are around people all the time, and they're not bothering anybody. Look at this amazing

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drone footage of a shark just swimming right by a surfer and not even paying attention.

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When you educate the lifeguards, because

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they're the ones who are interacting with the public directly most of

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the time, have you noticed a difference? Or

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what differences have you noticed? with

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sort of the perception of sharks on the beaches, as well as, like, have

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you noticed any, like, more people going into the water because of these

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programs? Like, or can you, I'm not even sure if you can measure that at that point. What

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type of metrics are you using to see how

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this education program is working, or

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Yeah, actually, and that's been really important for us, right? To quantify, is

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this making a difference? So part of

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that we use lifeguard attitudes, right?

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So for them, that's an important part of their job and they're very worried.

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In the early days, they were very worried about this because if

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there's a shark off the beach and somebody gets bitten and they don't pull people out

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of the water, Are they responsible for that, right? So

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there was a lot of education that needed to be done for them to

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build their confidence in the policies that they started

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to put in place. The other thing is, and we have to remember this,

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every time you close a beach, there's an economic impact to

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those communities. So there's a revenue loss because

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people leave that beach and they go somewhere else and they take their dollars

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somewhere else. And if it's their first time going to that beach and

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the beach is closed because of sharks, they may never go back

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to that beach again. So one of the

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things we're doing right now is I've teamed up with an environmental economist and

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we're trying to quantify what is the cost of a beach closure. And

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remember, we have cities of different sizes. So you close

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Huntington Beach, you know, kind of surf city, you know,

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the economic impact of that community can be really large. You go

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to a smaller beach community where the beach may only be a mile long, and

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a day beach closure may be a fraction of that cost, right? But

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nonetheless, knowing what those costs are really important. Yep. So

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these are the sorts of things that we have made a difference. So lifeguards,

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for example, can tell when our tag sharks are moving along

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our beaches because we've built these cool new buoys that give them real-time

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live data. Tag shark comes along and we kept saying this

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is not an early warning system. We can't tag every shark out there. That

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means there could be 15 sharks swimming around your buoy without

252
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tags and you wouldn't know it. But you use

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the tag data to understand patterns of behavior. So, for

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example, in the early days when we helped them develop a

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policy, the policy stated if a shark is

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eight feet, as big as a surfboard, you might want to pull people out

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of the water. And our rationale for that in the early days was those

258
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larger sharks are more likely to approach something its

259
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size or smaller. Okay, we had no data to

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support that. That was just our hypothesis at the time. So

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we started tagging these sharks and then we found these sharks form

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aggregations and they'll be at these beaches day in day out for weeks to

263
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months at a time. Shark, there'd be an eight foot shark off this

264
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beach being detected every hour at this beach for

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months. Lifeguards, according to the policy, would

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be pulling people out of the water every hour. Okay. So they know

267
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the sharks out there, they're getting detections. No surfers are

268
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reporting seeing any sharks. So then what they started going is,

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why close the beach? So then what they started to do is post signs. They

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post signs saying, this is shark habitat. Now, as soon as they post the signs,

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people steal them because they're cool signs. People wanted

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So now we've developed permanent signage for

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them. So they're really cool signs. I hired art students to do it.

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We use all the psychology to get people to look at the signs. We don't want them to

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be afraid. If you look at the signs on Cape Cod, they're kind of

276
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scary, right? Big red letters that say warning and

277
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the beautiful picture of a white shark. They see people driving and

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see that sign and get in their car and drive out. So we've

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used people's psychology to understand what's

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the best way to do this and not scare scare people. So those

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things are working. They've saved local communities millions

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of dollars in lost revenue from not closing beaches unnecessarily.

283
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So that's an example, I think, of where we've had success. The

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lifeguards see it, the city council see it, and

285
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now the public's starting to understand. So I

286
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would say our drone program is the other one that's been the most influential, right?

287
00:17:52,200 --> 00:17:55,322
So when we tell people we did this study and we did all

288
00:17:55,342 --> 00:17:58,484
these analyses and 97% of the

289
00:17:58,544 --> 00:18:02,047
days that we surveyed aggregation sites, there was a shark within 20 meters

290
00:18:02,087 --> 00:18:05,309
of a person. You tell that to people and they're like, yeah, but

291
00:18:05,529 --> 00:18:09,111
that's a white shark, right? But you show them the video and

292
00:18:09,131 --> 00:18:12,574
they watch this nine foot juvenile white shark swim right underneath

293
00:18:12,614 --> 00:18:16,036
the swimmer without changing course, changing speed,

294
00:18:16,056 --> 00:18:20,000
like the swimmer wasn't even there. Swimmer can't see the shark. So

295
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when they see that footage over and over again, they're like, well, wait a

296
00:18:23,101 --> 00:18:26,542
minute. This doesn't match what I've been taught on Shark Week.

297
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And then they go, well, maybe they're not that dangerous. So

298
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it's funny to see that we have all this really compelling

299
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scientific data that took years to collect. And that

300
00:18:40,065 --> 00:18:43,726
has very little influence. What has the best influence is

301
00:18:43,786 --> 00:18:47,187
people seeing hobbyists post this footage

302
00:18:47,247 --> 00:18:50,353
online And then they see it over and over and

303
00:18:50,453 --> 00:18:55,156
over again. And they go, well, seeing is believing. So

304
00:18:55,356 --> 00:18:58,778
that, I think, has had a huge impact on

305
00:18:58,798 --> 00:19:02,420
people's attitudes about sharing the water with

306
00:19:05,081 --> 00:19:08,203
Chris, I've got to ask you this question because you've obviously been down there at

307
00:19:08,443 --> 00:19:12,845
Long Beach for quite a few years, quite a few decades now. When

308
00:19:12,865 --> 00:19:16,990
you were a young lad starting out, Did

309
00:19:17,030 --> 00:19:20,793
you, and you're doing a lot of diving, beach going and stuff, did, how,

310
00:19:20,813 --> 00:19:24,035
what, how do you, when you think back to those days about,

311
00:19:30,038 --> 00:19:33,341
Yeah, well, I think there just weren't that many white sharks, Dave.

312
00:19:33,541 --> 00:19:36,663
I really don't. I think when, when you and

313
00:19:36,723 --> 00:19:40,225
I were grad students here, you know, the adults were aggregating around

314
00:19:40,265 --> 00:19:43,367
those adult feeding aggregation sites, but I

315
00:19:43,387 --> 00:19:46,856
just don't think there were as many. And you know juveniles

316
00:19:46,936 --> 00:19:50,578
in Southern California fishermen will occasionally catch him off the beaches But

317
00:19:51,358 --> 00:19:54,679
you know if if a fisherman caught a white shark Don would have heard about

318
00:19:54,719 --> 00:19:58,141
it, and we would have been right out now It's just

319
00:19:59,082 --> 00:20:02,303
I just never thought in all my years Dave that I would be

320
00:20:02,363 --> 00:20:07,045
doing what I'm doing and that I would be seeing what I'm saying Yeah,

321
00:20:07,085 --> 00:20:11,267
yeah, I do I get it out on cuz up here in Monterey I started spearfishing

322
00:20:13,367 --> 00:20:16,848
And we'd go out spearing, you know, you go out for halibut at Flounder Flats here.

323
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And it was just, it's all sand. It's just totally open, totally exposed. You're

324
00:20:20,349 --> 00:20:23,950
shooting halibut. You got fish, you know, flopping around

325
00:20:24,650 --> 00:20:28,912
and you just never, you know, never saw sharks. And

326
00:20:28,952 --> 00:20:32,253
I just, you know, certainly not juveniles were like, you know, once

327
00:20:32,293 --> 00:20:35,594
in a while during an El Nino, you might see one up here, but

328
00:20:36,114 --> 00:20:39,975
I got all this, I think back all the spear fishing I used to do free diving. and

329
00:20:39,995 --> 00:20:44,062
just never saw sharks at all. I think

330
00:20:44,122 --> 00:20:47,383
back now, I don't think those sharks were there actually. It

331
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Yes. So we dive these aggregations

332
00:20:54,167 --> 00:20:58,630
all the time to get our receivers. And visibility is horrible. You're

333
00:20:58,650 --> 00:21:02,833
lucky sometimes if you can see your hands to undo the receiver. And

334
00:21:02,893 --> 00:21:06,596
we know there are white sharks all around. When

335
00:21:06,636 --> 00:21:09,958
we're dropping in, there's a drone up above us. And as the divers

336
00:21:09,978 --> 00:21:13,120
are dropping in, there's a white shark 10 feet behind us. You can't see

337
00:21:13,160 --> 00:21:17,002
it. So we've been doing this for years. We

338
00:21:20,003 --> 00:21:23,225
Like while you're underwater, you've never seen one. They're around, but you've never seen it.

339
00:21:23,245 --> 00:21:26,367
We have spent hundreds of hours underwater. And no one

340
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I absolutely could believe that. I totally believe that, Chris. Yeah,

341
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I totally believe that. You just never see. I

342
00:21:37,874 --> 00:21:40,976
mean, I've never seen one, thank good God, up here in Monterey in

343
00:21:41,016 --> 00:21:44,927
all my 50 years of diving up here. I

344
00:21:45,168 --> 00:21:49,232
just never saw one diving, but boy if you go up in the helicopter with

345
00:21:49,272 --> 00:21:52,836
a drone off certain beaches up here. I mean I

346
00:21:52,876 --> 00:21:56,019
tell the story frequently. I'll count 40 sharks along like

347
00:21:56,059 --> 00:21:59,383
a mile, two mile stretch of beach up there at the cement

348
00:21:59,423 --> 00:22:02,606
boat there. You just get tired of counting. I'm like okay, there's a

349
00:22:02,626 --> 00:22:06,867
lot of sharks here. There's people playing in the water, playing in the beach, kayaking. And

350
00:22:06,907 --> 00:22:10,129
you talk to them, and like, nope, they have no idea there's any

351
00:22:12,771 --> 00:22:16,273
So there's, like, we know there's sharks around. Like, we know, like, if

352
00:22:16,313 --> 00:22:19,595
someone's in the water, there are sharks there. Like, there's a white shark,

353
00:22:19,615 --> 00:22:23,237
like you said, you've gone in 100 hours of diving,

354
00:22:23,557 --> 00:22:26,899
and there've been sharks around, they've just never come

355
00:22:26,959 --> 00:22:30,221
up to you while you know, I've never seen it. What's the reason for

356
00:22:33,498 --> 00:22:37,119
I think, and this is kind of a cool study that my last grad

357
00:22:37,139 --> 00:22:40,599
student's working on, I think they're used to people now.

358
00:22:40,959 --> 00:22:44,140
I think they can identify people because these are nurseries. So these

359
00:22:44,180 --> 00:22:47,500
sharks show up as young of the year and they will hang out at those beaches

360
00:22:47,540 --> 00:22:51,261
for weeks to months at a time. They may migrate off, but they'll come back. They'll

361
00:22:51,281 --> 00:22:54,542
return to those aggregation sites until they're about six

362
00:22:54,562 --> 00:22:57,822
years old. They're about nine to 10 feet by

363
00:22:57,862 --> 00:23:01,083
that size. And they behave the same way they did when

364
00:23:01,103 --> 00:23:06,462
they were babies. I think they are used to people. And

365
00:23:06,482 --> 00:23:10,183
the other thing about people at a beach is we're flotsam. We're

366
00:23:10,203 --> 00:23:13,665
just floating stuff on the surface. And quite

367
00:23:13,705 --> 00:23:17,566
often you can't see the sharks. So you're just, whether you're in the lineup,

368
00:23:17,626 --> 00:23:20,927
you're waiting to catch a wave, you're paddling for a wave, you're swimming outside the

369
00:23:20,967 --> 00:23:24,228
wave break, doing a nice long beach swim, you

370
00:23:24,268 --> 00:23:27,449
can't see them. And I think the sharks don't

371
00:23:27,489 --> 00:23:30,810
want to be seen. I think they largely ignore people.

372
00:23:31,641 --> 00:23:34,783
So my current grad student, what she's doing is, what we can see from the

373
00:23:34,823 --> 00:23:39,286
drone is that a shark will orient to a person, whether

374
00:23:39,326 --> 00:23:42,589
it's a surfer or swimmer, from about 60 feet away. And

375
00:23:42,629 --> 00:23:45,831
there's no way, both being at the surface, that the shark can

376
00:23:45,911 --> 00:23:48,993
see the person. So our hypothesis is

377
00:23:49,013 --> 00:23:52,656
that they're using hearing or they're using lateral line vibration to

378
00:23:52,696 --> 00:23:56,118
detect that person. So what Whitney has done is,

379
00:23:56,538 --> 00:24:00,016
we got a hydrophone with an accelerometer in it, and then we

380
00:24:00,056 --> 00:24:03,218
have students swim back and forth between buoys, and she

381
00:24:03,258 --> 00:24:07,280
records the sounds and the vibrations that they make. So

382
00:24:07,320 --> 00:24:10,481
then we put them on a surfboard and we have them paddle back and forth, and then we put

383
00:24:10,501 --> 00:24:14,002
them in a kayak and paddle back and forth. And kayaks are interesting because,

384
00:24:14,603 --> 00:24:18,604
Dave, you probably heard about this, in the last 10 years, we've seen a big uptick in

385
00:24:18,624 --> 00:24:22,186
adult white sharks biting kayaks. So

386
00:24:22,226 --> 00:24:26,008
our hypothesis is that kayaks act like a drum. They really accentuate

387
00:24:26,028 --> 00:24:29,238
that sound. So what Whitney has found is

388
00:24:29,278 --> 00:24:33,540
that each signature is different. So a person swimming looks

389
00:24:33,620 --> 00:24:37,142
and sounds differently from a person paddling a surfboard from

390
00:24:37,182 --> 00:24:40,504
a person paddling a kayak. And because these sharks

391
00:24:40,544 --> 00:24:44,747
are around these objects, these floating flotsam

392
00:24:44,987 --> 00:24:48,949
all the time, we think that they're actually able to identify us

393
00:24:48,969 --> 00:24:52,291
as non-threatening, non-food. And now

394
00:24:52,491 --> 00:24:55,915
we've become what I call freeway noise. I live near

395
00:24:55,955 --> 00:24:59,078
a 405 freeway. People come to visit and they're like, what

396
00:25:04,383 --> 00:25:07,866
They've kind of habituated, I think, to us. And

397
00:25:07,886 --> 00:25:11,329
that's really kind of a cool concept, right? Because remember in the early

398
00:25:11,369 --> 00:25:14,732
days, if you saw a shark, you pulled people out of the water.

399
00:25:14,872 --> 00:25:18,496
You prevented sharks from basically learning that

400
00:25:18,536 --> 00:25:21,860
that's not food and that's not a threat. But

401
00:25:21,941 --> 00:25:25,005
now, because we're sharing these habitats with lots of

402
00:25:25,025 --> 00:25:28,170
these animals, I think they're actually learning how to identify us.

403
00:25:28,791 --> 00:25:32,196
And that may actually lower the incidence of bites

404
00:25:32,236 --> 00:25:35,280
in the future, assuming that some of those bites are a

405
00:25:37,710 --> 00:25:40,972
And that goes to the kayak theory too. It's like

406
00:25:41,212 --> 00:25:44,354
maybe there are more kayaks in the water now because more people are

407
00:25:44,514 --> 00:25:47,595
using the water. And they're just not used to kayaks. So

408
00:25:47,615 --> 00:25:50,957
they're coming in, they're just kind of taking some little, I say little

409
00:25:53,379 --> 00:25:57,141
But that's exactly what they're doing. People aren't getting hammered. They're

410
00:25:57,161 --> 00:26:00,362
not getting launched. Literally, the sharks come over and clamp down

411
00:26:00,422 --> 00:26:03,564
on the kayak. Now, a lot of those kayakers are doing like what

412
00:26:03,584 --> 00:26:06,761
Dave was saying. They're fishing. and they have fish in

413
00:26:06,801 --> 00:26:10,022
their kayaks, and they have holes, drain holes, so they are

414
00:26:10,482 --> 00:26:14,784
emanating a little extra Q, right? But,

415
00:26:14,984 --> 00:26:18,045
you know, a shark is curious of those things, and

416
00:26:18,085 --> 00:26:21,587
the fact that they come up and just kind of bite on them, you know, people sometimes

417
00:26:21,607 --> 00:26:25,028
get knocked out of the kayaks, you know, they kind of panic, they see the shark there,

418
00:26:25,709 --> 00:26:29,010
and one of the guys I was talking to, the shark clamped down

419
00:26:29,030 --> 00:26:32,391
on the kayak and held it while he used that

420
00:26:42,142 --> 00:26:45,225
Do you think the shark was helping him? He was

421
00:26:48,468 --> 00:26:53,215
I'll stabilize this kayak for you. So,

422
00:26:53,335 --> 00:26:56,538
you know, these things happen and you're

423
00:26:56,578 --> 00:27:00,120
right. It could be that there's just more kayakers out there now and

424
00:27:00,380 --> 00:27:03,923
that's increased the frequency or that it's odd. It's something unusual.

425
00:27:04,183 --> 00:27:07,485
Something new. We don't see the juveniles act the same way around

426
00:27:07,525 --> 00:27:11,228
kayaks. They tend to ignore them. So,

427
00:27:11,928 --> 00:27:15,251
you know, that's, this is kind of a next step into getting

428
00:27:15,271 --> 00:27:18,353
into white sharks heads to figure out, well, what do you see and what

429
00:27:18,373 --> 00:27:22,600
do you hear and what do you feel and how do you make decisions? This

430
00:27:22,660 --> 00:27:26,081
is kind of where we want our program to go because the more people think

431
00:27:26,161 --> 00:27:29,743
of sharks as being cognitive animals, the

432
00:27:29,783 --> 00:27:33,104
less they fear them. So we actually did a psychology study that showed

433
00:27:33,144 --> 00:27:36,605
that. If people view sharks as

434
00:27:36,645 --> 00:27:39,886
being cognitive animals, decision-making animals, not mindless eating

435
00:27:39,906 --> 00:27:43,167
machines, they actually fear them less and they want to protect them.

436
00:27:44,645 --> 00:27:48,106
So that's another one of our goals in doing this research,

437
00:27:48,206 --> 00:27:51,368
is relating it back to people. You know, they're not that different from you, and

438
00:27:53,708 --> 00:27:56,950
That is so interesting. I think a thing too,

439
00:27:56,990 --> 00:28:00,551
Chris, is that because sharks obviously don't have hands like people do to manipulate

440
00:28:00,591 --> 00:28:03,792
things, their base way to manipulate things is with their jaws. And

441
00:28:03,812 --> 00:28:07,374
a lot of these sort of what they call the bite and spit things, that's

442
00:28:07,414 --> 00:28:10,515
how they're testing something out. Because you know, as

443
00:28:10,615 --> 00:28:14,330
I know, if a white shark goes full on into whether

444
00:28:14,350 --> 00:28:17,572
it's a surfer, I mean, it could do a ton of damage. You

445
00:28:17,612 --> 00:28:20,813
won't survive that. If it really went full on, you're not

446
00:28:20,833 --> 00:28:26,076
gonna survive that. But these sort of grabbing bites, spitting, you

447
00:28:26,296 --> 00:28:30,058
know, it's a different behavior. I don't know

448
00:28:30,098 --> 00:28:34,060
if you've probably noticed this, you spend a lot more time than I have, but you

449
00:28:34,100 --> 00:28:37,862
notice and you think you just kind of touched on this, there's different behaviors, depending

450
00:28:37,882 --> 00:28:41,537
if it's a surfboard or swimmer, a kayak, Um,

451
00:28:41,557 --> 00:28:45,379
you know, that gets into things that I used to look at in terms of foraging strategies, like

452
00:28:45,639 --> 00:28:49,160
depending on they'll approach something, I do a lot with seven gills, as you know, but

453
00:28:49,180 --> 00:28:52,301
they approach something, each thing they'll approach a little differently. And like, okay, that's, I'm

454
00:28:54,582 --> 00:28:57,823
Is that kind of what you're kind of, that's where

455
00:28:57,863 --> 00:29:01,524
drones have really helped Dave, you know, it gives us that bird's eye view. And

456
00:29:01,604 --> 00:29:04,746
even when we're tagging, you know, uh, you know, I always, when you get

457
00:29:04,766 --> 00:29:07,827
really close to him and you startle him, the first thing they'll do is try to

458
00:29:07,847 --> 00:29:11,148
get behind you. And that's that classic predator thing, right?

459
00:29:11,668 --> 00:29:14,849
So we always tell people, look, if you're out in the water and you actually see a

460
00:29:14,889 --> 00:29:18,171
white shark, you know, always keep your eyes on it, let the shark know you see it. If

461
00:29:18,211 --> 00:29:22,453
you lose track of it, the first place you should look is behind you. And

462
00:29:22,493 --> 00:29:25,834
people think, well, it's stalking me. And it's like, no, actually that's

463
00:29:25,914 --> 00:29:29,335
the safest place for that shark to investigate you. It's

464
00:29:29,355 --> 00:29:32,897
not intent on feeding you or stalking you, but it's

465
00:29:32,937 --> 00:29:37,080
thinking of its own safety at that point. So

466
00:29:37,360 --> 00:29:40,661
people always put that sinister thought in their head

467
00:29:40,701 --> 00:29:43,803
like they're out to get me. But when we

468
00:29:43,823 --> 00:29:47,305
start looking at these animals a little differently, like they

469
00:29:47,345 --> 00:29:50,487
feel threatened too. What would you do if you're in that

470
00:29:50,527 --> 00:29:54,949
situation? Then some of these behaviors become explainable,

471
00:29:57,910 --> 00:30:01,352
So I think those are the cool things. That's where drone footage is so amazing.

472
00:30:01,372 --> 00:30:04,554
You know, people can see that and you can say, this is what we think

473
00:30:04,614 --> 00:30:07,816
is happening. And they'll go, well, okay, that kind of makes sense. That's kind

474
00:30:07,836 --> 00:30:11,538
of what it looks like. Um, and that, that's not us saying,

475
00:30:23,135 --> 00:30:26,556
This is incredible. This is like mind-blowing to me right now that you're able to

476
00:30:26,696 --> 00:30:29,998
conduct this research, be able to have the video, to have

477
00:30:30,038 --> 00:30:34,800
the proof, and also like doing the psychology studies

478
00:30:34,980 --> 00:30:38,541
and interacting with lifeguards and people to show them

479
00:30:39,001 --> 00:30:42,363
that, look, although we've all been taught that

480
00:30:42,403 --> 00:30:45,664
these animals are dangerous, it's actually not as dangerous as

481
00:30:45,724 --> 00:31:00,673
we think. And there's a lot of intelligence Have

482
00:31:00,713 --> 00:31:04,638
you had the chance, I know you have a lot of connections around

483
00:31:04,658 --> 00:31:08,183
the world and a lot of colleagues around the world, to

484
00:31:08,223 --> 00:31:11,948
like, you know, when you compare the work that you're doing in Southern California

485
00:31:12,068 --> 00:31:15,853
and the way they manage sharks in Australia

486
00:31:15,933 --> 00:31:19,657
with the shark nets, Have you had a chance to have

487
00:31:20,138 --> 00:31:24,222
discussions with expanding the program? Obviously,

488
00:31:24,242 --> 00:31:28,186
you know, funding is going to be something there, but expanding

489
00:31:28,226 --> 00:31:31,790
it to other places where they take a very different

490
00:31:31,830 --> 00:31:35,293
approach to people and sharks, you

491
00:31:37,438 --> 00:31:40,721
Yeah, so we just had White Shark Global Conference which

492
00:31:40,881 --> 00:31:44,904
was in South Australia last November. Great conference. So

493
00:31:45,045 --> 00:31:48,507
basically all the White Shark researchers from around the world were there and

494
00:31:48,527 --> 00:31:51,990
it was awesome because we got to hear what everybody was doing. So

495
00:31:52,030 --> 00:31:55,734
you generally only get that when somebody publishes, right? Yeah. But

496
00:31:55,774 --> 00:31:58,976
getting everybody together to swap notes and things like that

497
00:31:59,016 --> 00:32:02,618
was great. You know, Australia does a

498
00:32:02,678 --> 00:32:05,839
lot of really amazing shark research. They have some really good

499
00:32:05,879 --> 00:32:09,660
researchers and they've got some incredible data. But

500
00:32:09,740 --> 00:32:13,282
that is funded nationally. So they

501
00:32:13,322 --> 00:32:16,723
get a whole national pot of money to do that work on

502
00:32:16,783 --> 00:32:21,776
both coasts, right? Or even on the south coast. But

503
00:32:21,876 --> 00:32:25,842
their approach to then shark mitigation is

504
00:32:25,922 --> 00:32:29,267
then divvied up into different divisions. And I think what makes

505
00:32:29,348 --> 00:32:32,893
our program different is everything is in one house. It's

506
00:32:32,973 --> 00:32:36,541
all run through the university. And we have no mitigation.

507
00:32:36,801 --> 00:32:40,484
What's really cool is, you know, all those other places, South Africa, Australia

508
00:32:40,524 --> 00:32:43,808
have been using shark mitigation for decades, like

509
00:32:44,268 --> 00:32:47,731
60 years in places like South Australia and in

510
00:32:47,832 --> 00:32:51,115
South Africa, right? The only place in the US where they've

511
00:32:51,375 --> 00:32:54,638
ever used shark mitigation was Hawaii. And they only

512
00:32:54,698 --> 00:32:58,293
used it twice and they don't use it anymore. So, despite the

513
00:32:58,333 --> 00:33:01,755
fact that there are more shark bites anywhere in the world, in the U.S.,

514
00:33:02,295 --> 00:33:05,877
and there's never been shark mitigation, really I think speaks

515
00:33:05,997 --> 00:33:10,199
to a couple things. You know, at least our, I

516
00:33:10,259 --> 00:33:13,601
always say Americans are horrible risk assessors, but in this particular case,

517
00:33:14,001 --> 00:33:17,483
they either don't want to spend any money or don't think it's worth the time

518
00:33:17,543 --> 00:33:21,065
to do that. Right. Despite the fact that the sentiment is

519
00:33:21,125 --> 00:33:24,907
the same, right? So we have, you know, we have coastal communities

520
00:33:24,947 --> 00:33:28,603
that are heavily dependent on tourism. You know, those are

521
00:33:28,623 --> 00:33:31,806
the triggers. And we just don't see that.

522
00:33:31,966 --> 00:33:35,930
Now, what we do know is that fatalities really change the

523
00:33:35,971 --> 00:33:39,835
barometer on that, right? So when there are fatalities, that's

524
00:33:39,875 --> 00:33:43,359
a big deal. One of the things we learned, which is really interesting, is

525
00:33:43,419 --> 00:33:47,103
that California has the lowest white shark bite mortality

526
00:33:47,163 --> 00:33:50,660
rate. So when we were talking with our Australian

527
00:33:50,700 --> 00:33:54,682
colleagues and our South African colleagues about why that is, we

528
00:33:55,002 --> 00:33:58,264
were finishing up a case study looking at bites in California. And what we

529
00:33:58,324 --> 00:34:01,747
found is there should have been fatal bites

530
00:34:01,987 --> 00:34:05,069
in Southern California that turned out not to be fatal. And

531
00:34:05,089 --> 00:34:08,296
the reasons were, number one, Coincidentally, they

532
00:34:08,316 --> 00:34:11,738
were in the water with somebody who knew emergency first aid, somebody

533
00:34:11,758 --> 00:34:15,922
who knew what to do, right? Number two, EMS

534
00:34:15,982 --> 00:34:19,645
was notified within minutes of them and they were reported

535
00:34:19,765 --> 00:34:22,927
as shark bites. So that was really critical because what that

536
00:34:22,987 --> 00:34:26,550
meant was they spun up a helicopter, a medevac helicopter

537
00:34:26,590 --> 00:34:30,593
to come to the site. Number three, the most crucial, they

538
00:34:30,613 --> 00:34:33,696
were in a major trauma center within 30 minutes of

539
00:34:33,716 --> 00:34:37,378
being bitten. There's nowhere else in the world where

540
00:34:37,418 --> 00:34:40,580
you can find that. So in Australia, they

541
00:34:40,600 --> 00:34:43,823
were telling me like their average time to a hospital can be two

542
00:34:43,903 --> 00:34:47,085
hours. So for a major bite, if

543
00:34:47,125 --> 00:34:50,348
you don't have the right equipment, you don't have the right trauma set

544
00:34:50,428 --> 00:34:53,870
up, someone's in shock in 20 minutes. They're

545
00:34:53,910 --> 00:34:57,013
not going to make it. And again, when we're

546
00:34:57,053 --> 00:35:00,696
talking about big sharks and little bites from a tiger or a white, that

547
00:35:00,736 --> 00:35:03,837
can do a lot of damage. So this is why we

548
00:35:03,877 --> 00:35:07,439
do every year we do a lifeguard workshop where we update

549
00:35:07,479 --> 00:35:10,680
them on all the cool new data that we're finding. But

550
00:35:10,700 --> 00:35:14,521
I also I bring in an ER doc and a trauma surgeon to

551
00:35:14,561 --> 00:35:17,882
talk to the lifeguards about what are the key things you need to do

552
00:35:18,582 --> 00:35:22,324
to save someone's life. So, they go through everything.

553
00:35:22,384 --> 00:35:26,006
Like, you know, tourniquets, they all have tourniquets now. But now they're like, you

554
00:35:26,026 --> 00:35:29,247
need to have combat gauze. You need to have quick clot in

555
00:35:29,287 --> 00:35:32,449
your kits. You need to have a full-out trauma kit. And then

556
00:35:32,509 --> 00:35:36,210
these are the things you need to do. You've got to make sure that sand

557
00:35:36,230 --> 00:35:39,697
does not get in the wound. So this is a huge deal. Yeah.

558
00:35:40,097 --> 00:35:43,358
You're on a beach. Debriding these wounds can

559
00:35:43,418 --> 00:35:46,739
take hours. Yeah. They can't close those

560
00:35:46,799 --> 00:35:50,339
wounds until they get all the sand out. So you imagine they're

561
00:35:50,379 --> 00:35:53,820
dragging somebody up on the beach who's been bitten and they're dragging them through the sand. Or

562
00:35:53,840 --> 00:35:57,280
a helicopter's coming to land and it's swirling all the sand. So

563
00:35:57,340 --> 00:36:00,601
now they have drapes to cover people to make

564
00:36:00,661 --> 00:36:04,081
sure that they're minimizing all those things. All of these things have mattered.

565
00:36:09,912 --> 00:36:13,814
I was going to say too, Chris, I know up here in Northern California where pretty much everybody

566
00:36:13,854 --> 00:36:16,996
wears a wetsuit in the water. It's just too cold or you're going to be nuts to

567
00:36:17,036 --> 00:36:20,177
go in with just a bathing suit. And I know people have been bitten up

568
00:36:20,217 --> 00:36:23,559
here and they'll comment that the wetsuit probably helped

569
00:36:23,619 --> 00:36:26,800
save them because even though the wetsuit was damaged, it

570
00:36:26,840 --> 00:36:30,222
was still help provide some, keep things

571
00:36:30,262 --> 00:36:33,543
together, keep sand and stuff from getting over,

572
00:36:33,583 --> 00:36:37,220
you know, getting too much into the wound and stuff. So I know that's, I

573
00:36:37,240 --> 00:36:40,882
think down in Southern California, we have more people just

574
00:36:40,922 --> 00:36:45,765
in bathing suits without wearing wetsuits

575
00:36:45,805 --> 00:36:48,827
and stuff. But up here, if you're surfing, you're doing any kind of dive, and you're wearing a

576
00:36:53,690 --> 00:36:57,072
We still wear wetsuits. Well, I

577
00:36:57,112 --> 00:37:01,555
was thinking about that, but I'm a NorCal guy,

578
00:37:01,595 --> 00:37:04,897
so I didn't want to have our guests on from SoCal. No,

579
00:37:07,658 --> 00:37:11,640
But Chris, when you went to the White Shark Conference last

580
00:37:11,720 --> 00:37:15,241
year, I assume this was a big topic

581
00:37:15,281 --> 00:37:18,722
for you to discuss. What was the reaction when you started

582
00:37:18,762 --> 00:37:21,963
to talk about bringing in trauma doctors and

583
00:37:22,023 --> 00:37:25,264
surgeons and talking to lifeguards and having these types

584
00:37:25,304 --> 00:37:29,107
of programs? Was that something that they're

585
00:37:29,167 --> 00:37:32,249
considering, or is this something that could be, I know every place is unique in

586
00:37:32,289 --> 00:37:35,772
terms of distance to hospitals and things like that, but it

587
00:37:35,812 --> 00:37:39,454
sounds like the more prepared you are and the people are, the better,

588
00:37:40,255 --> 00:37:43,698
Yes, and I think that was what was the consensus, right? So

589
00:37:43,818 --> 00:37:47,540
it's done in certain locations, it's not done in others. And in

590
00:37:47,580 --> 00:37:51,581
some of those locations, some of those those provinces.

591
00:37:51,601 --> 00:37:55,287
Some of them are

592
00:37:55,747 --> 00:37:59,072
more remote, so therefore you might need to have

593
00:37:59,172 --> 00:38:02,538
better trained people. They might need to have specific trauma kits with them.

594
00:38:03,696 --> 00:38:07,019
to make sure that if you have a two-hour transit time, you have all

595
00:38:07,039 --> 00:38:10,582
the things you need to keep somebody alive, right? And personnel

596
00:38:10,642 --> 00:38:13,905
trained to do that. Those are things that they can do, right? Those

597
00:38:13,945 --> 00:38:17,489
are modifications they can make. And those are not, you

598
00:38:17,509 --> 00:38:20,632
know, we're going to go out and kill a bunch of sharks. Those are, what do

599
00:38:20,652 --> 00:38:24,255
we do to keep people alive? Because again, the fatalities

600
00:38:24,315 --> 00:38:27,659
are really the triggers. Those are the ones that get communities upset.

601
00:38:29,343 --> 00:38:32,744
They get people worried about economic loss, tourism loss,

602
00:38:32,784 --> 00:38:37,587
things like that. So if you can reduce those, that's huge, right?

603
00:38:38,267 --> 00:38:41,929
And that's aside from what churches are doing. So there's

604
00:38:41,949 --> 00:38:45,291
a lot of great research being done there, and it was cool to

605
00:38:45,371 --> 00:38:48,693
see how much similarity there is. Now,

606
00:38:48,813 --> 00:38:52,375
unfortunately, South Africa doesn't have the same funding that Australia and

607
00:38:52,515 --> 00:38:55,837
US has. So quite often their research isn't

608
00:38:56,017 --> 00:38:59,221
up to the same level, technology-wise. It's not

609
00:38:59,261 --> 00:39:02,904
that they don't want to, it's that they can't afford to quite often. So

610
00:39:02,924 --> 00:39:06,347
I think those are some of the limitations, but at least we're

611
00:39:06,387 --> 00:39:10,009
sharing all those ideas and going, oh, that would be great for

612
00:39:10,390 --> 00:39:14,132
where we are. We need to adopt something like that. So

613
00:39:14,152 --> 00:39:17,555
I think that's the cool thing about getting everybody

614
00:39:17,595 --> 00:39:20,757
together to do that, not just from a research standpoint, but

615
00:39:20,817 --> 00:39:23,960
also from how do white sharks interact with people? How do we

616
00:39:24,000 --> 00:39:27,198
deal with that? Because that's quite often where the

617
00:39:28,938 --> 00:39:32,359
Oh for sure Yeah, it's a

618
00:39:32,379 --> 00:39:35,520
Christian, you know, obviously I can speak to South Africa. I know you've been down there

619
00:39:35,540 --> 00:39:38,861
too But it's a lot of the areas you go. It's it's remote. They're just it's

620
00:39:39,021 --> 00:39:42,722
just you know, you're you're a couple hours away potentially from

621
00:39:42,822 --> 00:39:46,003
anything and then that's I mean It's it's just remote you get

622
00:39:46,043 --> 00:39:49,364
away from any of the city centers, which is where most people go

623
00:39:50,985 --> 00:39:54,460
It's remote and so Yeah, and I can remember a number of shark attacks

624
00:39:54,480 --> 00:39:58,123
when I used to live down there. And, you know, people just expired

625
00:39:58,163 --> 00:40:02,225
just because they couldn't get them to any kind of a trauma center. And anytime

626
00:40:02,245 --> 00:40:05,407
soon, they'd be there and they just would bleed out, essentially. They just had

627
00:40:05,487 --> 00:40:08,789
no stuff to go on. It was it was just really hard to

628
00:40:09,649 --> 00:40:13,032
do. I can really understand that. Yeah, that is. That

629
00:40:13,132 --> 00:40:16,534
is. So let's go. That sounds really good. We had just people out

630
00:40:16,554 --> 00:40:20,196
there listening. We had Charlie Huveniers and Lauren Myers on the podcast last

631
00:40:20,276 --> 00:40:24,314
year around the white shark. I

632
00:40:24,414 --> 00:40:27,815
think we had Charlie on just before and Lauren on afterwards to

633
00:40:27,855 --> 00:40:31,217
talk about. So if anyone out there wants to find out more about the White Shark

634
00:40:31,257 --> 00:40:35,799
Conference from last year, go check out those episodes there. So

635
00:40:36,299 --> 00:40:40,561
Chris, so as far as your future, your program, how

636
00:40:42,562 --> 00:40:45,924
Yeah. So our funding is expiring. So

637
00:40:45,964 --> 00:40:49,405
we were kind of set up to get refunded, but

638
00:40:49,445 --> 00:40:53,132
the state budget is poor. So California

639
00:40:53,192 --> 00:40:56,933
has made some tax code changes. We had some natural disasters that

640
00:40:57,614 --> 00:41:00,995
put us kind of in a bad spot. So our

641
00:41:01,055 --> 00:41:04,257
funding disappeared. So legislators that were champions of

642
00:41:04,337 --> 00:41:07,618
us, which we have plenty, wanted to see us funded. They

643
00:41:07,658 --> 00:41:10,999
just couldn't. And I totally get it, right? But

644
00:41:11,080 --> 00:41:14,341
unfortunately, it came at a bad time. So I

645
00:41:14,381 --> 00:41:17,702
was notified in December, last December, that the

646
00:41:17,742 --> 00:41:21,290
state couldn't fund me. We were going to try to find some agency money

647
00:41:21,630 --> 00:41:24,911
to see if they had some money that would keep us alive. And then

648
00:41:24,971 --> 00:41:28,292
that got clawed back. So right now I'm looking for private

649
00:41:28,332 --> 00:41:32,913
money. So I have enough money to make me through, to get me to January. Unfortunately,

650
00:41:32,933 --> 00:41:37,254
I've already had to lay off half my staff. So

651
00:41:37,674 --> 00:41:40,974
we're in a slow period right now. This is our off

652
00:41:41,014 --> 00:41:44,155
season, right? Which is good. But the

653
00:41:44,175 --> 00:41:47,316
bad thing is I have to prepare for summer and

654
00:41:47,336 --> 00:41:51,229
I'm going to have to rebuild my program. and I need money to do that. So

655
00:41:51,289 --> 00:41:54,551
right now I'm trying to find private money because that's the fastest source of

656
00:41:54,591 --> 00:41:57,734
money that could get us operational again or

657
00:41:57,774 --> 00:42:01,137
working with big foundations. The tricky part is this program is

658
00:42:01,177 --> 00:42:05,300
not cheap, right? It costs about $900,000 a

659
00:42:05,341 --> 00:42:08,503
year, but we operate from Monterey all the way

660
00:42:08,663 --> 00:42:11,966
to the Mexican border. So that's a lot of territory to cover.

661
00:42:14,710 --> 00:42:18,751
Yeah, sorry you have to go through that. That's never

662
00:42:18,831 --> 00:42:22,552
fun, you know, when you're laying off staff and going

663
00:42:22,572 --> 00:42:26,273
through tough times. You

664
00:42:26,293 --> 00:42:30,355
know, it seems as though the program, from

665
00:42:30,415 --> 00:42:33,535
a funding standpoint, It's crucial. I

666
00:42:33,855 --> 00:42:37,237
think a lot of people have trouble figuring out how to fund projects where you're looking at genuine

667
00:42:37,257 --> 00:42:51,466
academic research where there's no application. I

668
00:42:51,506 --> 00:42:54,927
feel as though this program, there's a lot of application. There's

669
00:42:54,967 --> 00:42:58,327
obviously a lot of technology that's involved in this, but

670
00:42:59,228 --> 00:43:02,468
you need it to be able to, I mean, you've talked about a lot

671
00:43:02,508 --> 00:43:06,429
of stuff already today that requires a lot of technology. Drones,

672
00:43:06,469 --> 00:43:09,690
those are not cheap. You're looking at sort

673
00:43:09,710 --> 00:43:13,011
of instrumentation that vibrates and things like that. This is

674
00:43:13,051 --> 00:43:16,211
not cheap. Boat operations is not cheap. And

675
00:43:16,271 --> 00:43:20,292
so I think, though, because this is so applicable to The

676
00:43:20,312 --> 00:43:23,854
beaches along that stretch you're talking about, that huge stretch, and

677
00:43:23,974 --> 00:43:27,657
you talked a lot about how it affects the economy. I feel like there's

678
00:43:27,757 --> 00:43:32,240
definitely a crucial need for this program. And

679
00:43:32,320 --> 00:43:35,842
so I feel as though this is a part where people

680
00:43:35,882 --> 00:43:39,164
need to pony up and say, hey, look, we need to keep these

681
00:43:39,224 --> 00:43:43,434
beaches safe. And it sounds like what you're learning is

682
00:43:44,235 --> 00:43:47,500
mind-blowing to me, you know, like in terms of what we're learning and

683
00:43:47,520 --> 00:43:51,225
what we're discovering about these sharks and what we can do more of

684
00:43:55,228 --> 00:43:58,451
I do. And you know, I've always said is,

685
00:43:59,271 --> 00:44:02,513
you know, when Dave and I were grad students, it was hard to study

686
00:44:02,553 --> 00:44:06,096
sharks because there weren't many sharks to study. Right. And

687
00:44:06,136 --> 00:44:09,258
then the problem was, if they started to find them

688
00:44:09,278 --> 00:44:13,001
in numbers, we didn't have the technology, right? We just didn't

689
00:44:13,021 --> 00:44:16,263
have the tools. So now we have the sharks and we have

690
00:44:16,283 --> 00:44:19,746
the tools, amazing technology, but it's expensive, right? And

691
00:44:19,786 --> 00:44:22,958
then the problem was, then we didn't have the money. And if

692
00:44:22,998 --> 00:44:26,220
you tag one or two animals, that doesn't really get you

693
00:44:26,240 --> 00:44:29,601
where you need to go data-wise. So you really need

694
00:44:29,641 --> 00:44:33,363
quite a bit of money. And I think that's the thing that this program

695
00:44:33,383 --> 00:44:37,505
has taught me, was that if you're properly funded, because

696
00:44:37,545 --> 00:44:41,226
of all the tools that we have available to us now, we can answer questions

697
00:44:41,266 --> 00:44:44,504
that I thought were impossible 10 years ago. So

698
00:44:44,864 --> 00:44:48,286
I think this is exciting. My students that get to participate in

699
00:44:48,306 --> 00:44:51,468
this, in a way, kind of get spoiled, right? Because they think, you

700
00:44:51,508 --> 00:44:55,211
know, every master's student should have $400,000 to answer

701
00:44:57,932 --> 00:45:01,134
But they do get to see, when you have the

702
00:45:01,174 --> 00:45:04,656
right resources, the sorts of things you can do. And

703
00:45:04,696 --> 00:45:08,058
I think that is kind of the way we need to think about this,

704
00:45:08,138 --> 00:45:11,910
right? And more importantly, The

705
00:45:11,950 --> 00:45:15,051
science is fun and we find it really exciting because this is

706
00:45:15,091 --> 00:45:18,993
what we love, right? But if mom and pop can't

707
00:45:19,113 --> 00:45:23,014
understand why it's valuable, then why would they fund it? And

708
00:45:23,054 --> 00:45:26,495
I think what's satisfying for me is

709
00:45:26,535 --> 00:45:31,297
that we've found ways of making everybody appreciate why

710
00:45:31,337 --> 00:45:34,818
we do what we do and how it's valuable to everyone. And

711
00:45:34,838 --> 00:45:38,599
I think that's the key to sellable science

712
00:45:38,659 --> 00:45:42,970
these days, number one. And number two, it

713
00:45:43,010 --> 00:45:46,433
would be easy for us to just ignore all those things and just focus on

714
00:45:46,473 --> 00:45:49,836
doing the science and say, look, Dave, Dave, you're my

715
00:45:50,077 --> 00:45:53,680
colleague. Look at all these cool things we found at Davigo. Chris, that's awesome.

716
00:45:54,080 --> 00:45:57,343
I love it. But if other people don't

717
00:45:57,403 --> 00:46:00,726
see the value in it, then how

718
00:46:00,766 --> 00:46:04,029
will I keep getting funding to keep doing more? So I

719
00:46:04,069 --> 00:46:07,773
think that's been the key. You know, I've had to spend a lot of time thinking

720
00:46:07,813 --> 00:46:11,675
about those things and marketing those things and showing people, here's

721
00:46:11,715 --> 00:46:15,016
how we evaluate that this is working. This is how we know this

722
00:46:15,537 --> 00:46:18,678
This is making a difference. You know, Chris, you

723
00:46:18,698 --> 00:46:21,919
know, you talk last time you're, you know, you grew up right there in Martha's Vineyard when

724
00:46:21,939 --> 00:46:25,121
they felt we're filming Jaws when you're a kid and you, you know,

725
00:46:25,141 --> 00:46:28,362
the, obviously the big part of the movie was like, they couldn't shut

726
00:46:28,382 --> 00:46:32,064
the beaches because of the money. And now here you are, let's

727
00:46:32,104 --> 00:46:35,205
say about 50 years later, uh, watching the, uh,

728
00:46:35,823 --> 00:46:39,026
almost going through the same thing, a real life situation where you

729
00:46:39,066 --> 00:46:42,209
do, you know, you're looking at a financial impact in

730
00:46:42,229 --> 00:46:45,652
these communities, but you actually have the technology now to do something

731
00:46:45,692 --> 00:46:52,978
about it. And really, $900,000 to cover half the California coast In

732
00:46:53,018 --> 00:46:56,060
California, I don't want to say it's chump change, but it's not really a lot of

733
00:46:56,121 --> 00:46:59,403
money when you look at the economic impact. So if any of the city

734
00:46:59,443 --> 00:47:04,007
council people are out there listening or county supervisors, give Chris

735
00:47:04,027 --> 00:47:07,529
a call, throw a few bucks into his tip jar there, and maybe

736
00:47:07,589 --> 00:47:11,512
you can help him out there because it's really not a

737
00:47:11,552 --> 00:47:15,415
lot of money when you think about it to basically be monitoring

738
00:47:15,455 --> 00:47:18,918
half the California coast. for white sharks,

739
00:47:18,938 --> 00:47:22,644
and you're learning stuff about the sharks too. And so you're educating

740
00:47:22,664 --> 00:47:26,049
the public. So you're hitting on all the

741
00:47:26,109 --> 00:47:29,394
marks as far as I can see. So

742
00:47:32,247 --> 00:47:37,351
Can I ask you something too? I know Surfrider has a big

743
00:47:37,431 --> 00:47:40,554
presence in Southern California. Obviously that's where they

744
00:47:40,574 --> 00:47:44,818
were formed and their headquarters are. Have

745
00:47:44,838 --> 00:47:48,661
you collaborated with other organizations such as Surfrider to

746
00:47:49,302 --> 00:47:52,464
extend some of these projects or create new

747
00:47:52,544 --> 00:47:55,606
ones. Obviously, surfers are a big user of the ocean. They would be

748
00:47:55,666 --> 00:47:59,548
very interested in this type of work. Has there

749
00:48:03,307 --> 00:48:06,829
So we are, we're always trying to find partners, right.

750
00:48:06,949 --> 00:48:10,091
To help share some of the costs and, and actually do a lot of

751
00:48:10,111 --> 00:48:13,253
the outreach. So we, we

752
00:48:13,313 --> 00:48:16,534
do give a lot of talks to Surf Rider. We, we, you

753
00:48:16,634 --> 00:48:20,136
know, financially they're, they're not as wealthy as

754
00:48:20,517 --> 00:48:23,838
some of the other groups, but, um, they do, they do promote our

755
00:48:23,878 --> 00:48:27,060
stuff and, you know, we, they become, uh, kind of like

756
00:48:29,121 --> 00:48:32,682
They're terrific. Yeah, you know, we've had discussions

757
00:48:32,722 --> 00:48:37,862
with surf line and things like that. There are a lot of. Technology

758
00:48:37,902 --> 00:48:41,124
that surfers use, whether it's digital technology or

759
00:48:41,204 --> 00:48:44,766
information, we're always looking for ways they want information

760
00:48:44,786 --> 00:48:48,088
about sharks. Of course. Our new buoy system, that's our

761
00:48:48,188 --> 00:48:51,350
next phase, is to make those data publicly available. Right now,

762
00:48:51,430 --> 00:48:54,852
only lifeguards get those data. Okay. And our fear

763
00:48:54,932 --> 00:48:58,274
is we don't want the public to think this is an early warning system, because it is not.

764
00:48:58,454 --> 00:49:01,756
Right, right. But with proper education, the public

765
00:49:01,796 --> 00:49:05,138
is interested in this, and they can start to learn about the patterns of these sharks.

766
00:49:06,078 --> 00:49:09,542
We priced out, you know, to make an app, it cost about $300,000 and

767
00:49:10,302 --> 00:49:14,026
then to maintain it, you know, probably $20,000 a year. But

768
00:49:14,066 --> 00:49:17,490
the system's set up so that it's automated. You know, data gets

769
00:49:17,590 --> 00:49:20,933
pushed and people can see it every day. They can see when detections come in.

770
00:49:20,953 --> 00:49:24,617
I think something like that would be popular. Yes.

771
00:49:25,678 --> 00:49:30,156
And people would feel like, you know, they're learning something at the same time. So

772
00:49:30,176 --> 00:49:33,919
these are the sorts of things we want to do. We just need money.

773
00:49:34,460 --> 00:49:37,882
And that's not just like fishers and surfers and

774
00:49:37,902 --> 00:49:42,485
stuff. You can roll this out to your K to 12 programs

775
00:49:42,565 --> 00:49:46,048
and have people learn about, you know, even data gathering and so

776
00:49:46,088 --> 00:49:49,691
forth. I think it's a fantastic idea, again, that

777
00:49:49,711 --> 00:49:52,913
has multiple applications and getting more and

778
00:49:52,953 --> 00:49:56,436
more people connected to the ocean without sometimes not

779
00:49:56,476 --> 00:49:59,798
even being able to go to the ocean. I really like

780
00:49:59,878 --> 00:50:03,722
I would play with that app for sure and I'm in Canada, so you

781
00:50:03,742 --> 00:50:06,945
know So yeah, I think that's I think that would be that

782
00:50:06,965 --> 00:50:10,088
would be very handy But again it caught things cost money, and then you

783
00:50:10,128 --> 00:50:13,531
have to get those those funded now. I gotta ask Chris like

784
00:50:16,057 --> 00:50:19,198
You put this program together, you help run this program, you have some

785
00:50:19,378 --> 00:50:23,159
fantastic staff members and students that have helped you out through

786
00:50:23,199 --> 00:50:28,681
the years, but you're now balancing academic

787
00:50:28,761 --> 00:50:34,863
research, studies, outreach programs, education

788
00:50:34,923 --> 00:50:38,465
programs. How

789
00:50:38,505 --> 00:50:42,307
do you do this all? I know your

790
00:50:42,347 --> 00:50:45,648
students, it's a small staff and small

791
00:50:49,650 --> 00:50:53,031
Good question. I don't sleep very often and if you ask

792
00:50:56,093 --> 00:50:59,714
Well, you're out on the ocean all the time. It's kind of like a vacation, right? Yeah, sure.

793
00:51:00,434 --> 00:51:03,736
I was spending way too much time on the computer making phone calls

794
00:51:06,943 --> 00:51:10,184
Yeah. So, I think the good thing and Dave knows this very

795
00:51:10,224 --> 00:51:13,544
well. There's a really good group of people out there,

796
00:51:13,684 --> 00:51:17,685
well-trained people who are dying for jobs, right? And

797
00:51:17,725 --> 00:51:20,925
they would kill for a job to work in the Shark Lab on something like

798
00:51:20,945 --> 00:51:24,126
this. And they're very skilled. I just need

799
00:51:24,146 --> 00:51:27,447
the money to hire them, right? So, that's the thing.

800
00:51:27,967 --> 00:51:31,607
Whether it's my own students that I cultivate or whether they're from

801
00:51:31,647 --> 00:51:34,888
other labs, they're out there and they need work, right?

802
00:51:35,868 --> 00:51:39,451
And they're looking specifically for projects like

803
00:51:39,511 --> 00:51:42,833
this that give them the same satisfaction that I get, that you're working on

804
00:51:42,853 --> 00:51:46,696
a project that makes a difference. It's not just cool science. It's

805
00:51:46,776 --> 00:51:50,459
something that makes a difference for the public, right? And

806
00:51:50,779 --> 00:51:54,041
there's lots of those people out there, and they're really good at what they do,

807
00:51:56,643 --> 00:52:00,305
Yeah. You just need money to do that. You have the work and

808
00:52:00,345 --> 00:52:03,546
you have the passion and they have the skills. It's just

809
00:52:03,606 --> 00:52:07,088
a matter of getting that funding, which is always the

810
00:52:08,949 --> 00:52:12,430
And I think the other fun thing about my job is that I get to collaborate

811
00:52:12,490 --> 00:52:16,512
with engineers, computer scientists, artists, journalists, filmmakers,

812
00:52:17,592 --> 00:52:21,882
psychologists, environmental economists, that's

813
00:52:22,002 --> 00:52:25,585
the good part. I'm just this dumb shark biologist

814
00:52:25,965 --> 00:52:29,247
and I get to learn about all these cool other fields that

815
00:52:29,327 --> 00:52:32,610
sometimes I used to make fun of and now I'm eating my words, right? So

816
00:52:32,690 --> 00:52:36,213
psychology, I was like, psychology, what is that? Now I've

817
00:52:36,253 --> 00:52:39,675
learned so much about that and I'm like, this is so

818
00:52:40,136 --> 00:52:43,819
And these guys are hardcore scientists. They are hardcore. For sure. Yeah.

819
00:52:47,545 --> 00:52:50,787
I was just going to say, you know, I used to think about my dream

820
00:52:50,827 --> 00:52:54,509
was like being able to get in the shark's head and understand how they make decisions. And

821
00:52:54,529 --> 00:52:57,810
I'm thinking, how hard is this compared to, we can

822
00:52:57,890 --> 00:53:01,052
talk to people and we still have a hard time understanding what

823
00:53:01,072 --> 00:53:04,634
people are thinking. So, you know, I'm thinking, wow,

824
00:53:09,516 --> 00:53:12,818
I love it. I was, you know, Chris, I was going to, I was going to say, Chris, I, uh,

825
00:53:13,799 --> 00:53:17,091
and I'm sure you had the same experience to be like, when you start, we started out to, You

826
00:53:17,111 --> 00:53:20,653
know, at the same time, it's like you think like, well, I'm just going to go study sharks and

827
00:53:20,754 --> 00:53:23,996
all this other stuff you're exposed to now, people you meet. I'm

828
00:53:24,016 --> 00:53:27,418
just going like, I never, this was never on the drawing board

829
00:53:27,458 --> 00:53:30,660
at all. I just, how do I, how do I wind up in these places and meeting these

830
00:53:30,720 --> 00:53:34,042
people and talking to these guys? And it's just, it's just, it's been,

831
00:53:34,423 --> 00:53:37,845
I don't, I look at it like it's just been a fantastic journey. And I'm sure you feel the same way

832
00:53:37,885 --> 00:53:41,067
of the places you've been able to go, people you meet, things you've

833
00:53:41,127 --> 00:53:44,192
learned, uh, It's it's great. I

834
00:53:46,933 --> 00:53:50,055
I think you're absolutely right, Dave. And the thing is, is that it was a matter of

835
00:53:50,155 --> 00:53:53,336
my opening myself up to it. Right. You know,

836
00:53:53,496 --> 00:53:57,417
it's a little scary sometimes when you start working with somebody who's not in your field and

837
00:53:57,437 --> 00:54:00,919
you feel like I have no idea what these people are talking about. So

838
00:54:01,119 --> 00:54:04,320
there's this trust that has to be there. But but it

839
00:54:04,380 --> 00:54:07,521
also comes from the shared enthusiasm. Right. So I have

840
00:54:07,561 --> 00:54:10,803
this great engineer, roboticist colleague that I've worked with

841
00:54:10,823 --> 00:54:14,391
for 10 years. And this guy is like one

842
00:54:14,431 --> 00:54:18,492
of the best roboticists in the country. He

843
00:54:18,512 --> 00:54:21,913
just loves being in the ocean. He loves

844
00:54:21,953 --> 00:54:25,394
surfing. He loves diving. He loves snorkeling. He loves rain

845
00:54:25,454 --> 00:54:29,315
animals. That's the thing that brought us together. And

846
00:54:29,375 --> 00:54:33,195
we've made this awesome team. We've made shark tracking robots

847
00:54:33,435 --> 00:54:36,596
funded through National Science Foundation, things that I never thought were

848
00:54:36,636 --> 00:54:39,837
possible. But we did that because we had

849
00:54:39,877 --> 00:54:43,129
that shared interest, right? And all

850
00:54:43,169 --> 00:54:46,532
the people that I've been able to get to collaborate with me, I suck

851
00:54:46,632 --> 00:54:49,774
in because they're like, you know, I think sharks are so cool and I

852
00:54:49,874 --> 00:54:53,116
love going on the ocean. I don't get to do that but now I get to do that.

853
00:54:53,837 --> 00:54:57,279
You know, that's the common thread, right? That

854
00:54:57,399 --> 00:55:00,721
has brought all these people together. And for me, it

855
00:55:00,902 --> 00:55:04,143
opens up these lines of communication and gets

856
00:55:04,163 --> 00:55:07,446
me to open and think, okay, maybe I can learn something about this thing

857
00:55:07,466 --> 00:55:10,908
that I know nothing about. These people have spent their entire lives doing it.

858
00:55:11,989 --> 00:55:15,331
But it leaves you in awe, but then you walk away going, wow, I've learned

859
00:55:18,773 --> 00:55:22,716
Yeah. That's great, Chris. That's

860
00:55:22,756 --> 00:55:25,958
really terrific. Well, if anybody's listening to the show

861
00:55:25,998 --> 00:55:29,689
out there, any city council people, any wealthy donors, please

862
00:55:29,729 --> 00:55:32,831
contact Chris. They need some money to keep the shark program going. It's

863
00:55:32,851 --> 00:55:36,053
a phenomenal program. I can tell you it's, it's, it's really, it's, it's

864
00:55:36,073 --> 00:55:39,815
an amazing state of the art type of program. Yeah. And

865
00:55:39,895 --> 00:55:43,097
so I hope, uh, hopefully somebody out there will catch it, catch the podcast here

866
00:55:43,157 --> 00:55:46,359
and maybe, and give you a shout. Uh, if you have any trouble getting hold

867
00:55:46,399 --> 00:55:49,801
of Chris, you get hold of Andrew and I, we can direct you where to go. And, uh,

868
00:55:50,301 --> 00:55:53,703
let's see if we can get some funds in there for Chris to keep his program going.

869
00:55:54,264 --> 00:55:57,481
And Chris, uh, Just want to thank you for coming on the show again today.

870
00:55:57,521 --> 00:56:01,223
It's been a long time, a couple of years since you're on. We'll have to not

871
00:56:01,264 --> 00:56:04,665
let so much time go between having you on the next time. And

872
00:56:07,127 --> 00:56:10,329
That would be great. And yeah, we'll just

873
00:56:10,369 --> 00:56:13,771
keep hunting for money. And remember, our ultimate goal

874
00:56:15,992 --> 00:56:19,374
Absolutely. Absolutely. Great words to leave

875
00:56:22,193 --> 00:56:25,454
Thank you. Thank you, Chris, for joining us today on the

876
00:56:25,474 --> 00:56:28,615
Beyond Jaws podcast. It was great to be able to, I mean, not

877
00:56:28,655 --> 00:56:32,175
only great, it was mind-blowing. The type of research

878
00:56:32,435 --> 00:56:36,016
that you do, the all-encompassing research that his lab has

879
00:56:36,056 --> 00:56:40,257
been doing from science communication, outreach, education,

880
00:56:40,717 --> 00:56:44,118
shark science and distribution and ecology, and then looking at

881
00:56:44,298 --> 00:56:47,659
the application of keeping beachgoers safe, working

882
00:56:47,699 --> 00:56:50,920
with lifeguards, It's changing the perception of

883
00:56:51,040 --> 00:56:54,741
sharks from people, taking us away from that programming of

884
00:56:55,101 --> 00:56:58,582
the movie of Jaws. And like you said at the beginning of this episode,

885
00:56:58,622 --> 00:57:02,043
Dave, when he starts and he sees people filming

886
00:57:02,063 --> 00:57:05,424
the movie Jaws when he was a kid, now taking them

887
00:57:05,624 --> 00:57:08,865
out of that sort of thought process and bringing it back to a,

888
00:57:08,905 --> 00:57:12,106
hey, white sharks are pretty cool, and they're not as dangerous as we thought to

889
00:57:12,166 --> 00:57:15,467
humans. They're around us all the time. We need to embrace that.

890
00:57:16,107 --> 00:57:19,428
And here's a little education on that. I just think that's the

891
00:57:19,449 --> 00:57:23,030
way we do science in today's day in the modernized day. What

892
00:57:24,431 --> 00:57:27,652
Yeah, yeah, absolutely. I think, you know, he's really he's kind of

893
00:57:27,912 --> 00:57:32,474
really brought that marriage of science and science communication and

894
00:57:32,514 --> 00:57:35,695
also some business skills to the to the field. And

895
00:57:35,755 --> 00:57:38,856
that's something that really in this day and age, you need to be able to

896
00:57:38,896 --> 00:57:42,458
do. It wasn't like, you know, probably when Chris and I started out, it wasn't such a big issue.

897
00:57:42,478 --> 00:57:45,719
Of course, you didn't have that. You didn't have the technology to do today. And I think that was

898
00:57:45,759 --> 00:57:49,448
a that was another point Chris really hit on was just the technology

899
00:57:49,468 --> 00:57:52,869
today versus when him and I started out in the eighties, you

900
00:57:52,889 --> 00:57:56,190
know, you just kind of have these really cool ideas, but you couldn't really do anything as

901
00:57:56,631 --> 00:58:00,132
drones and GPS and these, uh, advanced, uh,

902
00:58:00,352 --> 00:58:03,513
tags. Now you put out used to, that wasn't even, you

903
00:58:03,553 --> 00:58:07,214
know, you didn't even have that type of stuff. And Chris started working with Don Nelson,

904
00:58:07,234 --> 00:58:10,955
who is a legend in the field for doing early, early telemetry

905
00:58:10,995 --> 00:58:14,636
work. But I mean, even Don would be blown away today. Um, at

906
00:58:14,656 --> 00:58:18,918
the technology that that's, uh, that's out there now just to just be mind-blowing

907
00:58:19,539 --> 00:58:22,883
To think that the amount of information you

908
00:58:22,903 --> 00:58:26,267
can get just from tagging and setting up a buoy system where

909
00:58:26,287 --> 00:58:30,672
you can find out where these sharks are, where they've been in close

910
00:58:30,752 --> 00:58:34,176
range, is phenomenal compared to 35 plus years

911
00:58:34,316 --> 00:58:37,760
ago, 40, 50 years ago. and the amount of information

912
00:58:37,780 --> 00:58:40,983
that we've been able to get in terms of distribution, how far these

913
00:58:41,023 --> 00:58:44,566
animals can actually travel, where they're going, how they're feeding,

914
00:58:44,646 --> 00:58:48,690
all that kind of stuff, not only just from tags, but other technology, drones. Just

915
00:58:48,730 --> 00:58:52,133
talking about how Chris was discussing how sharks

916
00:58:52,373 --> 00:58:55,676
orient when they see or when they detect somebody in

917
00:58:55,716 --> 00:58:59,119
the water or something in the water, and they orient themselves to

918
00:58:59,159 --> 00:59:02,442
there, probably using their lateral line to feel the vibrations in

919
00:59:02,482 --> 00:59:05,687
the water. and just what he's talking about in terms of the vibration you've seen

920
00:59:05,747 --> 00:59:10,473
people, a person in a kayak and a person swimming. It's

921
00:59:10,513 --> 00:59:13,898
a very interesting time for shark science

922
00:59:13,958 --> 00:59:18,990
and just science in general, but especially ocean science and understanding what

923
00:59:19,030 --> 00:59:22,771
we thought was this mindless killer, understanding how intelligent

924
00:59:23,872 --> 00:59:28,173
and how in tune with the water and its surroundings sharks

925
00:59:28,233 --> 00:59:31,815
really are, especially the white sharks. It's just an

926
00:59:32,135 --> 00:59:35,496
impressive time that we're at when we're when

927
00:59:35,516 --> 00:59:38,937
we're looking at shark science these days. It's got to be so much different.

928
00:59:39,437 --> 00:59:42,759
Yeah, no, I think, you know, I've kind of touched on this in other

929
00:59:42,819 --> 00:59:46,973
episodes, but the sharks, they all have a different personality,

930
00:59:47,334 --> 00:59:50,796
especially some of these larger species like white sharks. And I worked a lot on seven gill

931
00:59:50,816 --> 00:59:54,178
sharks, but they all have personalities. And there's actually a, we

932
00:59:54,198 --> 00:59:57,600
talked about, I think talked about this in another episode recently, there was a classic

933
00:59:57,680 --> 01:00:01,222
paper by Sonny Gruber, another shark legend,

934
01:00:02,002 --> 01:00:05,625
back in the mid 1970s, I want to say about 1975 or

935
01:00:06,725 --> 01:00:10,127
76, where he looked at a group of bonnet head sharks

936
01:00:10,588 --> 01:00:13,909
in Florida, And he kept the population of them

937
01:00:14,049 --> 01:00:17,151
in a tank. And he documented how each one of

938
01:00:17,191 --> 01:00:20,814
them had a different personality. And these are sharks that get about a meter,

939
01:00:20,874 --> 01:00:24,377
three feet, or three to five feet in length. And

940
01:00:24,397 --> 01:00:27,699
he talked about that. And I remember when I was a grad student

941
01:00:27,719 --> 01:00:30,801
in the 80s, I thought that was just a fascinating paper. And Chris is

942
01:00:30,881 --> 01:00:34,144
actually, we didn't even bring up that. I know Chris would be well aware

943
01:00:34,164 --> 01:00:37,366
of that paper. But it was just, they started talking about

944
01:00:37,386 --> 01:00:40,764
how these sharks have personalities. With the white sharks,

945
01:00:40,804 --> 01:00:45,588
you're seeing that, where they have this sort of interesting personality,

946
01:00:45,608 --> 01:00:48,811
the behavior towards different things. And I think his comments on

947
01:00:48,851 --> 01:00:52,294
how these sharks have become kind of habituated towards, you

948
01:00:52,314 --> 01:00:56,157
know, whether it's a kayak, a surfer, a swimmer, they kind of get

949
01:00:56,197 --> 01:00:59,600
that because these sharks have been here since they were young, and

950
01:00:59,640 --> 01:01:02,903
they've just sort of grown up here. And they understand what those different

951
01:01:02,943 --> 01:01:06,098
signals are. And I think that's fascinating work, and that's going to It's

952
01:01:08,879 --> 01:01:12,120
Agreed. It's going to be very

953
01:01:12,160 --> 01:01:15,662
interesting to see how this, not only this lab progresses, but also

954
01:01:16,062 --> 01:01:19,823
just the field of shark science is going to progress. So, you

955
01:01:19,843 --> 01:01:23,164
know, again, Chris, thank you so much for joining us on

956
01:01:23,204 --> 01:01:26,506
today's episode. We're going to put all the links that people can go check out the shark lab

957
01:01:26,546 --> 01:01:29,747
and the work that they do. Check out their YouTube channel. They've got some pretty cool mini

958
01:01:29,767 --> 01:01:33,428
documentaries that Ava Dominicelli, who's been on this program as well, has

959
01:01:33,528 --> 01:01:36,810
produced and shot herself and edited. They're fantastic. I highly

960
01:01:36,850 --> 01:01:39,993
recommend that you check those out. And of

961
01:01:43,036 --> 01:01:47,940
It's Lawsharkguy on social media, on Instagram, Lawsharks

962
01:01:48,040 --> 01:01:51,263
on Facebook, and yeah, LinkedIn and all the

963
01:01:53,256 --> 01:01:56,698
Awesome. And then I'll put the links into the show notes where you

964
01:01:56,738 --> 01:02:00,661
can find our YouTube channel, as well as our Instagram, beyondjawspod. And

965
01:02:00,941 --> 01:02:04,043
feel free to connect with us. We'd love to hear from you. If you are interested and

966
01:02:04,083 --> 01:02:07,826
you have the means to be able to fund or partly fund the

967
01:02:07,866 --> 01:02:11,088
Shark Lab, feel free to connect with us. We'll put you in touch with

968
01:02:11,128 --> 01:02:14,811
Chris. So thank you so much, Dave, for joining us again. And thank

969
01:02:14,831 --> 01:02:18,493
you so much for Chris for giving us all those great

970
01:02:18,633 --> 01:02:21,855
updates on the lab. And thank you, everybody, for listening. We really

971
01:02:21,895 --> 01:02:25,536
appreciate you coming in each and every time we put out an episode. It's

972
01:02:25,576 --> 01:02:28,718
a lot of fun. We've been getting some great feedback. Keep it coming. We'd love to

973
01:02:28,758 --> 01:02:32,079
hear from you. And thank you so much for joining us on today's episode of the Beyond