WEBVTT - Does Your Dog Really Love You? Science Has the Answer!

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<v Speaker 1>Now really.

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<v Speaker 2>Really now really hello, and welcome to Really Know Really

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<v Speaker 2>with Jason Alexander and Peter Tilden. Remind you that if

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<v Speaker 2>you subscribe to our show, it will prove that you

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<v Speaker 2>really know, really love us. And speaking of love, have

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<v Speaker 2>you ever wondered if your dog truly loves you?

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<v Speaker 3>A recent cover story.

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<v Speaker 2>Of Newsweek magazine posed that very question and revealed that

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<v Speaker 2>there is now scientific research that provides an answer. Really, no, really,

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<v Speaker 2>but how can science really prove what your dog feels

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<v Speaker 2>about you?

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<v Speaker 4>Well?

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<v Speaker 2>Fascinated by the scientific inquiry, we turned to doctor Gregory Burns,

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<v Speaker 2>the Distinguished Professor of Neuroeconomics at Emory University and the

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<v Speaker 2>scientist who conducted the actual love research, even going so

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<v Speaker 2>far as to train dogs to be reliable subjects using

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<v Speaker 2>MRIs to discover what's really going on in their little

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<v Speaker 2>doggie brains.

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<v Speaker 3>He's got the answer to does your dog truly love you?

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<v Speaker 4>So?

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<v Speaker 2>Pet parents, brace yourselves because you're about to learn the truth.

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<v Speaker 2>Now here's Jesson and Peter.

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<v Speaker 5>We know each other a long time. Tell me definitively

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<v Speaker 5>do I love you?

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<v Speaker 6>Yes?

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<v Speaker 4>I think you love me?

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<v Speaker 1>But how would you prove it?

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<v Speaker 4>How do you know that I prove it if a kidney.

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<v Speaker 4>If I need a kidney, M.

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<v Speaker 1>I really like you.

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<v Speaker 4>If I need a kidney and you stepped the kidneys

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<v Speaker 4>and you stepped the night before, I'm not then, but

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<v Speaker 4>I think you. I think you.

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<v Speaker 7>We've been through enough stuff together. And but is that

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<v Speaker 7>what it is or is it honestly? So yeah, there's like, Okay,

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<v Speaker 7>you asked me for something, I do it for. You

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<v Speaker 7>need a favor, I do it.

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<v Speaker 5>You have you have trouble, I commiserate, We sympathize with

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<v Speaker 5>each other, we have we laugh together.

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<v Speaker 3>We have.

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<v Speaker 5>Got how But what I'm asking scientifically, if a scientist

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<v Speaker 5>had to answer the question, does Jason loved Peter, I

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<v Speaker 5>don't know how they will? Well you get that yet

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<v Speaker 5>here we are talking about the dog.

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<v Speaker 4>Okay, but I think the easier thing here and we'll

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<v Speaker 4>see it. And I love this guy. I ended up

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<v Speaker 4>watching what he's doing now and also know we know

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<v Speaker 4>how he did these studies. So we're going to share

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<v Speaker 4>it with everybody about that because everybody listening as a dog.

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<v Speaker 4>But why don't you tell I know you have a

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<v Speaker 4>story about a dog you were well.

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<v Speaker 5>You know you're talking about a dog in effect, So

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<v Speaker 5>I did a movie years ago that Richard Gear started

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<v Speaker 5>and produced called Hachi, and it is based on a

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<v Speaker 5>true story that happened in Japan with a dog named Hachiko,

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<v Speaker 5>where Hotchiko's owner would walk with Hachiko or Hachi to

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<v Speaker 5>the train station every day so that he would go

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<v Speaker 5>off to work and the dog would make its way home.

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<v Speaker 5>And then the dog must have learned what time the

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<v Speaker 5>train back from work would come and he would walk

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<v Speaker 5>back to the station to greet his owner every day. Well,

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<v Speaker 5>after years of doing this, apparently the owner went to

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<v Speaker 5>the train in the morning, Hotchiko walked with him went

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<v Speaker 5>back home, but the guy died while he was at work,

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<v Speaker 5>so Hachiko went back to the train station. The owner

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<v Speaker 5>never gets off the train, and the story is that

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<v Speaker 5>Hachiko never left the trains, that he waited literally for

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<v Speaker 5>the rest of his life for his owner to come

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<v Speaker 5>off the train. And in Japan this story is told

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<v Speaker 5>and with reverence, and there's a statue Pochigo because he's

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<v Speaker 5>become a symbol of true love and loyalty.

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<v Speaker 1>So we did the American version of that story. I

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<v Speaker 1>got to work with Lilah.

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<v Speaker 5>By the way, one of the hot yeah, one of

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<v Speaker 5>one of the dogs that played HATCHI my first day

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<v Speaker 5>in the trailer, the makeup gals looked at the call

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<v Speaker 5>sheet and went, oh, you're working with Lila.

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<v Speaker 1>And I said, is Lilah good?

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<v Speaker 5>And they, with a straight face, they said, she's the

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<v Speaker 5>Meryl Streep of Ducks.

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<v Speaker 1>And you know what, she was very good. She gave,

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<v Speaker 1>she gave something.

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<v Speaker 5>But I always was wondering, you know, not the not

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<v Speaker 5>the I don't want to be that guy.

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<v Speaker 1>But I go, yeah, he's living.

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<v Speaker 5>The dog is living at the train station because everyone

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<v Speaker 5>that knew the dog and the guy on day one

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<v Speaker 5>is going, oh, he doesn't know. So it's pets and

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<v Speaker 5>cuddles and a treat and a thing and every and

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<v Speaker 5>now the dog's there tomorrow. So by in three days,

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<v Speaker 5>the whole train station is feeding this dog, watering this dog,

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<v Speaker 5>petting this dog.

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<v Speaker 1>Giving it toys to play. I mean, why would it

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<v Speaker 1>go home? Why?

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<v Speaker 4>By the way, it's funny. I have some insight into dogs.

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<v Speaker 4>I understand that Hanky was waiting for the movie to break.

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<v Speaker 4>Even dogs are fascinating to me. And and this your

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<v Speaker 4>question of how can you tell if the dog is

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<v Speaker 4>truly in love with you? Right, let's get let's get

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<v Speaker 4>doctor Burns.

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<v Speaker 1>Let me introduce this fine gentleman to you all.

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<v Speaker 5>Doctor Gregory Burns is the Distinguished Professor, not just you know, distinger,

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<v Speaker 5>the associate the underling Distinguished Professor of Neuroeconomics at Emory University.

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<v Speaker 1>He directs the Center for Neuropolicy.

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<v Speaker 5>He has received numerous grants from the National Institutes of Health,

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<v Speaker 5>the National Science Foundation, Department of Defense, and he's published

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<v Speaker 5>over seventy peer reviewed original research articles, many relating to

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<v Speaker 5>his work with dogs. He is a New York Times

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<v Speaker 5>bestselling author of How Dogs Love Us a neuroscientist and

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<v Speaker 5>his adopted dog decode the canine brain. And he's very

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<v Speaker 5>into dogs. He's got another book, What It's Like to

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<v Speaker 5>Be a Dog. He's also he's doing.

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<v Speaker 4>A lot of it. If you're watching this on YouTube.

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<v Speaker 4>Has the coolest den of anybody we've interviewed. Oh and

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<v Speaker 4>there's a dog, your newer dog? Is that the newer dog?

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<v Speaker 6>Oh?

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<v Speaker 8>No, that's Cali. She's the original.

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<v Speaker 4>Wow.

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<v Speaker 8>Well she was the first MRI dog.

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<v Speaker 1>So let's talk.

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<v Speaker 4>Let's talk. Can we by the way, yeah heard the dog.

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<v Speaker 5>The dog got up to say hello. You didn't actually

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<v Speaker 5>we always do this. We seg right in without saying hello,

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<v Speaker 5>welcome to the show. It's lovely to meet you. That's

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<v Speaker 5>another's two. Oh, there's two, gorgeous score. Oh that's ahead.

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<v Speaker 5>I actually thought I was seeing the head and arms

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<v Speaker 5>of a primate on the floor for a second.

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<v Speaker 1>Ears.

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<v Speaker 4>So, doctor Burns, can you run us through the background

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<v Speaker 4>of that of what stimulated this entire study, the article

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<v Speaker 4>of the MRIs et cetera.

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<v Speaker 6>Oh, sure, so as I. I mean, the fact of

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<v Speaker 6>it is is that for most of my career I

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<v Speaker 6>used to study humans and put people in MRI scanners

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<v Speaker 6>to see how people think and how they make decisions.

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<v Speaker 6>And that's what field of neuroeconomics is about. And yes

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<v Speaker 6>I still carry that title just because I have nothing

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<v Speaker 6>better to describe myself with. And and what happened was

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<v Speaker 6>this was back in twenty eleven, and if you think

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<v Speaker 6>way back, what was happening in two thousand and eleven.

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<v Speaker 6>What happened was that there was this mission to go

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<v Speaker 6>after bin Laden, remember, and.

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<v Speaker 8>You know that's kind of its only thing.

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<v Speaker 6>But me being a dog person, what captured my interest

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<v Speaker 6>was the fact that there was a dog on that mission,

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<v Speaker 6>and there was a lot of press about it, and

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<v Speaker 6>I saw these pictures of dogs in the military, and

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<v Speaker 6>I didn't know anything about military dogs, but I saw

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<v Speaker 6>these pictures of dogs being trained to jump out of helicopters,

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<v Speaker 6>and I thought, you know, me being an MRI guy,

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<v Speaker 6>and if you've had an MRI, and I'm guessing, because

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<v Speaker 6>we're all of a certain age, everyone here has had

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<v Speaker 6>an MRI.

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<v Speaker 8>You know what they sound like.

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<v Speaker 6>They're pretty unpleasant, they're pretty loud, And so I thought, wow,

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<v Speaker 6>you know, if a dog can jump out of a helicopter,

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<v Speaker 6>then why don't we train dogs to go an MRI

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<v Speaker 6>scanner so we can see what they're thinking.

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<v Speaker 8>And that really was the beginning of it. And as

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<v Speaker 8>I sometimes.

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<v Speaker 6>Tell people, it was also a good excuse to take

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<v Speaker 6>my dog to work every day.

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<v Speaker 4>Yeah wow, so you did. What did your studies yield

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<v Speaker 4>that blew your mind? As far as the dogs truly

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<v Speaker 4>loving us and having feelings and emotions.

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<v Speaker 6>Yeah, well, I mean you have to realize when we

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<v Speaker 6>started the project, really, you know, the dog brain was

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<v Speaker 6>just kind of a an unwritten map. I mean, nobody

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<v Speaker 6>had really looked at how it's organized. You know, we

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<v Speaker 6>know a lot about the human brain. We know a

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<v Speaker 6>lot about other primates because they're similar to us, and

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<v Speaker 6>we know about you know, smaller animals like mice and rats.

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<v Speaker 6>But honestly, it was just kind of initially just going

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<v Speaker 6>out exploring, and so we started with the easiest, simplest,

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<v Speaker 6>dumb experiments we could think of. I mean, one, we

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<v Speaker 6>had to prove that we could train dogs to hold

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<v Speaker 6>still long enough to even get good images that we

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<v Speaker 6>could analyze. And so once we did that, then we

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<v Speaker 6>just kind of proceeded systematically, first with their reward system.

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<v Speaker 6>And when we talk about reward systems in brains, it

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<v Speaker 6>turns out that you know, for mammals, we're all pretty

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<v Speaker 6>similar because you can look at a brain and say, okay,

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<v Speaker 6>that's that part of the brain. This is the reward center.

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<v Speaker 6>We know where it's located. We know that that's where

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<v Speaker 6>dopamine exerts most of its actions. And so then what

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<v Speaker 6>we could set out to do then is seeing the dog, Okay,

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<v Speaker 6>well what activates it the most? So we know in

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<v Speaker 6>people kind of how it works, We know what motivates

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<v Speaker 6>people kind of the basic primary rewards, things like food

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<v Speaker 6>and water born money, and yeah, you know, all these

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<v Speaker 6>things have been done in.

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<v Speaker 4>The scanners to people.

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<v Speaker 5>I just wondered, you know, how do you present that

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<v Speaker 5>to your colleagues the first time? You know what I

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<v Speaker 5>think we should try, because you know what we've done,

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<v Speaker 5>food and water.

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<v Speaker 1>The next thing comes to my mind.

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<v Speaker 4>I slid it in, didn't he got right behind by

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<v Speaker 4>the way? Not wrong?

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<v Speaker 1>Yeah, no, no, no never.

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<v Speaker 4>I did not charge no judgment.

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<v Speaker 1>You didn't hear me ring a buzzer. I just noted it.

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<v Speaker 1>That wouldn't you die?

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<v Speaker 4>Right now? We said the number one thing dogs love?

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<v Speaker 1>Yeah?

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<v Speaker 4>So so all right, so you know what brings our bell? Jay? You?

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<v Speaker 4>So what is it? What is in dogs? You were

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<v Speaker 4>able to kind of isolate? That was interesting to you.

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<v Speaker 8>Well, so we started with kind of the obvious things.

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<v Speaker 6>So initially we start with food, and in fact, that's

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<v Speaker 6>how we trained the dogs in the first place to

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<v Speaker 6>go in the scanner, reward them with food. Although I'll

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<v Speaker 6>tell you early on we noted that a lot of

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<v Speaker 6>the dogs that we started training didn't really seem to

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<v Speaker 6>care as much about the food as the actual just

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<v Speaker 6>interaction with with their person and just kind of the

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<v Speaker 6>praise and just the whole activity itself. And that's that's

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<v Speaker 6>how we did all the training, we just turned it

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<v Speaker 6>into a big game for the dogs. So after we

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<v Speaker 6>showed that we could kind of hold up a treat

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<v Speaker 6>and then we could see the reward center of the

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<v Speaker 6>dogs light up, then we started doing kind of more

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<v Speaker 6>subtle things. Then we just did things like okay, well

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<v Speaker 6>just praise the dog, you know, say good girl, good boy,

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<v Speaker 6>And what does that do. Well, it turns out it

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<v Speaker 6>does the same thing. So here we have these dogs

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<v Speaker 6>who most people kind of assume just did what they

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<v Speaker 6>did because at the end of the day, yeah, we

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<v Speaker 6>feed them, we house them, and you know, we take

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<v Speaker 6>care of them. And you know, a lot of scientists

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<v Speaker 6>for many years kind of thought that the biggest trick

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<v Speaker 6>that dogs did in becoming dogs was getting us to

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<v Speaker 6>take care of them. That was their evolutionary breakthrough, right,

0:11:39.920 --> 0:11:42.160
<v Speaker 6>But it turns out it's a it's a bit more

0:11:42.200 --> 0:11:46.160
<v Speaker 6>interesting and more complex than that, because you know, we

0:11:46.280 --> 0:11:49.240
<v Speaker 6>found that for most of the dogs, this kind of

0:11:49.280 --> 0:11:52.600
<v Speaker 6>when you offer food and praise, they're they're pretty much

0:11:52.679 --> 0:11:55.920
<v Speaker 6>equally activating to the dog's reward center. And then in

0:11:55.960 --> 0:11:59.480
<v Speaker 6>some dogs, in fact, the praise was even more activating.

0:12:00.120 --> 0:12:02.760
<v Speaker 6>And so how do you explain that and that The

0:12:02.840 --> 0:12:06.840
<v Speaker 6>simplest answer is, you know, they just have social rewards,

0:12:06.880 --> 0:12:10.480
<v Speaker 6>just very much like people do. You know everyone likes praise,

0:12:10.920 --> 0:12:13.000
<v Speaker 6>you know, everyone likes to be told they're doing a good.

0:12:12.920 --> 0:12:15.080
<v Speaker 8>Job, and you know dogs are the same.

0:12:15.679 --> 0:12:18.040
<v Speaker 5>Does that and I guess this is the essential question

0:12:18.080 --> 0:12:21.440
<v Speaker 5>that we're asking in this episode. Does that equate to

0:12:22.440 --> 0:12:27.000
<v Speaker 5>a true love for the person giving it to them?

0:12:27.040 --> 0:12:29.680
<v Speaker 5>Like if I'm working for a director that I admire

0:12:30.120 --> 0:12:31.640
<v Speaker 5>and he goes, oh, that was a great take. That

0:12:31.720 --> 0:12:33.840
<v Speaker 5>was such a great scene, what a great job. I'm

0:12:33.840 --> 0:12:36.679
<v Speaker 5>sure I'm getting the dopamine hit, but it doesn't mean

0:12:36.720 --> 0:12:38.160
<v Speaker 5>I love this person.

0:12:38.160 --> 0:12:38.400
<v Speaker 1>You know.

0:12:39.520 --> 0:12:42.199
<v Speaker 5>So how do we or do we know at this

0:12:42.320 --> 0:12:45.320
<v Speaker 5>point that you can actually take that reaction and equate

0:12:45.360 --> 0:12:47.000
<v Speaker 5>it to what we think of as love.

0:12:48.720 --> 0:12:51.199
<v Speaker 6>Yeah, I get I get this a lot, and it

0:12:51.240 --> 0:12:54.000
<v Speaker 6>reminds me I once did. I once did did a

0:12:54.040 --> 0:12:58.920
<v Speaker 6>morning show when all these results came out and the

0:12:58.960 --> 0:13:02.360
<v Speaker 6>host was very very well meaning, uh, And I kind

0:13:02.360 --> 0:13:05.480
<v Speaker 6>of knew what she was expecting me to say, because

0:13:05.600 --> 0:13:09.960
<v Speaker 6>she said to me at one point, well, gee, doctor Burns,

0:13:10.000 --> 0:13:14.360
<v Speaker 6>so does my dog really love me? And I kind

0:13:14.360 --> 0:13:17.960
<v Speaker 6>of stupidly just answered what I was thinking at the moment,

0:13:18.240 --> 0:13:20.560
<v Speaker 6>and I said, gee, I don't know you and I

0:13:20.600 --> 0:13:22.440
<v Speaker 6>don't know your dog, how should I know?

0:13:26.559 --> 0:13:26.800
<v Speaker 4>Sure?

0:13:29.240 --> 0:13:29.400
<v Speaker 1>Love?

0:13:30.120 --> 0:13:33.880
<v Speaker 4>See now I love you. I can actually say that, Well.

0:13:33.679 --> 0:13:34.240
<v Speaker 8>Now you know me?

0:13:34.360 --> 0:13:34.520
<v Speaker 4>Right?

0:13:36.720 --> 0:13:40.920
<v Speaker 6>Uh So, Jason, It's it's this, this is a hard question,

0:13:41.080 --> 0:13:44.400
<v Speaker 6>and you were alluding to it in the introduction.

0:13:44.520 --> 0:13:46.760
<v Speaker 8>It's like, how do you know anybody loves you?

0:13:46.840 --> 0:13:47.040
<v Speaker 4>Right?

0:13:48.640 --> 0:13:49.520
<v Speaker 8>Uh?

0:13:49.720 --> 0:13:54.960
<v Speaker 6>Is it because of what they say? Mm hmm uh maybe?

0:13:55.120 --> 0:13:59.960
<v Speaker 6>But you know, I mean people, people are good at you.

0:14:00.120 --> 0:14:05.880
<v Speaker 8>Know, acting, you know. Ah, now I would say that

0:14:05.960 --> 0:14:09.120
<v Speaker 8>dogs are not actors. I don't think so. I mean

0:14:09.200 --> 0:14:11.800
<v Speaker 8>your experience is not bonding right.

0:14:13.360 --> 0:14:13.560
<v Speaker 1>Yeah.

0:14:14.120 --> 0:14:18.120
<v Speaker 6>Uh So, in many ways, I think it's easier for

0:14:18.240 --> 0:14:21.520
<v Speaker 6>us as humans to read their actions and interpret them

0:14:21.640 --> 0:14:25.480
<v Speaker 6>at face value. So and I don't think you need

0:14:25.480 --> 0:14:28.640
<v Speaker 6>an MRI for this. You know, most most dog owners

0:14:28.680 --> 0:14:31.000
<v Speaker 6>and dog lovers you know, will tell me.

0:14:31.040 --> 0:14:33.880
<v Speaker 8>It's like, well, gee, you just proved what what I've.

0:14:33.680 --> 0:14:37.600
<v Speaker 6>Known all along, and the best way I can I

0:14:37.640 --> 0:14:40.280
<v Speaker 6>can kind of conceptualize this in terms of love. And

0:14:40.360 --> 0:14:43.840
<v Speaker 6>because I've been asked like, what's your definition of love?

0:14:44.800 --> 0:14:48.440
<v Speaker 6>So we have to acknowledge that that word does not

0:14:48.560 --> 0:14:52.960
<v Speaker 6>really capture all the nuances of it. We apply it

0:14:52.960 --> 0:14:56.000
<v Speaker 6>in so many different ways and in so many different

0:14:56.040 --> 0:14:59.920
<v Speaker 6>types of love. You know, whether it's romantic love, parental,

0:15:00.360 --> 0:15:05.240
<v Speaker 6>brotherly love, friendship. The word applies to all the circumstances.

0:15:05.360 --> 0:15:09.120
<v Speaker 6>And so my view is that if we take kind

0:15:09.120 --> 0:15:12.560
<v Speaker 6>of a dog version of it, however we define it,

0:15:12.640 --> 0:15:12.920
<v Speaker 6>then I.

0:15:12.920 --> 0:15:14.440
<v Speaker 8>Think it's easy to recognize.

0:15:14.520 --> 0:15:18.520
<v Speaker 6>And it is easy to recognize if you say love

0:15:18.600 --> 0:15:22.920
<v Speaker 6>is non transactional, meaning it's not dependent on something else.

0:15:22.960 --> 0:15:25.160
<v Speaker 6>It's not dependent on the fact that I feed the

0:15:25.200 --> 0:15:28.760
<v Speaker 6>dogs or do anything else. It's just that they want

0:15:29.200 --> 0:15:31.880
<v Speaker 6>to be with me or whoever. And if they come

0:15:31.960 --> 0:15:35.200
<v Speaker 6>up and they just want to be around you, hey,

0:15:35.440 --> 0:15:36.480
<v Speaker 6>I'll take that as love.

0:15:37.080 --> 0:15:41.240
<v Speaker 1>So that for me, that begs two questions. And I'll

0:15:41.320 --> 0:15:41.560
<v Speaker 1>use my.

0:15:43.160 --> 0:15:46.400
<v Speaker 5>Departed dog, Sandy as an example. So when I would

0:15:47.360 --> 0:15:48.840
<v Speaker 5>see Sandy at the end of the day, if I

0:15:48.920 --> 0:15:51.200
<v Speaker 5>come home from work, she would do what I would

0:15:51.240 --> 0:15:53.760
<v Speaker 5>expect to dog it is crazy about me to do.

0:15:54.080 --> 0:15:57.800
<v Speaker 1>She'd get very excited. She couldn't get on me enough.

0:15:57.920 --> 0:16:00.880
<v Speaker 5>You know, she's rubbing her whole body, tail is going,

0:16:00.960 --> 0:16:04.080
<v Speaker 5>the licks are happening. She's I mean, this is the

0:16:04.080 --> 0:16:07.880
<v Speaker 5>most effusive dog. Because Daddy came home. Now, if the

0:16:07.920 --> 0:16:10.800
<v Speaker 5>doorbell rang and Peter was at the door, she would

0:16:10.840 --> 0:16:14.360
<v Speaker 5>pretty much exhibit the same behavior with him. And so

0:16:15.160 --> 0:16:20.400
<v Speaker 5>is is it that I guess what I'm asking is,

0:16:21.040 --> 0:16:23.160
<v Speaker 5>does she love me less because she seems to love

0:16:23.240 --> 0:16:25.800
<v Speaker 5>him too? Or is it just that as a pack

0:16:25.880 --> 0:16:30.160
<v Speaker 5>animal and interacting with humans that she knows, well, this

0:16:30.240 --> 0:16:33.120
<v Speaker 5>is someone who will take care of me. This is

0:16:33.120 --> 0:16:35.440
<v Speaker 5>not anybody that's gonna harm me. I'm gonna go check

0:16:35.440 --> 0:16:39.720
<v Speaker 5>this out. Is she just excited? What? What when you

0:16:39.760 --> 0:16:45.120
<v Speaker 5>see a dog reacting similarly to a new person, should

0:16:45.120 --> 0:16:46.200
<v Speaker 5>we read anything into that?

0:16:48.200 --> 0:16:50.720
<v Speaker 8>Well, this is a Jason problem, not a Sandy problem.

0:16:53.040 --> 0:16:54.680
<v Speaker 1>You know what? Now suddenly.

0:16:58.880 --> 0:17:01.080
<v Speaker 4>Just he just he's just off the game.

0:17:01.600 --> 0:17:03.800
<v Speaker 5>Now, I'm going to know all these guys at the

0:17:03.880 --> 0:17:06.280
<v Speaker 5>end of the thirty five years I've known you, and

0:17:06.320 --> 0:17:08.840
<v Speaker 5>now I can start saying, I think it's a yeah,

0:17:09.520 --> 0:17:11.360
<v Speaker 5>I never sought to do that.

0:17:11.720 --> 0:17:13.560
<v Speaker 1>But what do you what do you mean by that? Seriously?

0:17:15.119 --> 0:17:18.760
<v Speaker 6>I think dogs are promiscuous, to be honest, I got you,

0:17:19.040 --> 0:17:22.879
<v Speaker 6>I got you. I mean that's how they are. I

0:17:22.880 --> 0:17:26.119
<v Speaker 6>mean not obviously not all dogs are that way, and

0:17:26.160 --> 0:17:30.040
<v Speaker 6>I can think of many examples who aren't. But I mean,

0:17:30.160 --> 0:17:34.520
<v Speaker 6>they're happy to be around people. And if it doesn't

0:17:34.640 --> 0:17:37.560
<v Speaker 6>lessen you know, her love for you, that you know

0:17:37.720 --> 0:17:42.000
<v Speaker 6>she likes someone else. So what as I said, they're promiscuous.

0:17:42.920 --> 0:17:45.720
<v Speaker 6>I mean, we can get into their reproductive habits and

0:17:45.760 --> 0:17:49.520
<v Speaker 6>that will make even more sense. But and I think

0:17:49.640 --> 0:17:52.719
<v Speaker 6>I think actually all of these things are tied together.

0:17:52.800 --> 0:17:55.560
<v Speaker 6>Their biology is is a certain way and it's different

0:17:55.600 --> 0:17:59.679
<v Speaker 6>than ours, so the relationships that they form are going

0:17:59.760 --> 0:18:02.840
<v Speaker 6>to be different. But I do think that in many

0:18:02.880 --> 0:18:06.119
<v Speaker 6>cases they're unconditional. They're not They're doing it because they

0:18:06.200 --> 0:18:07.680
<v Speaker 6>enjoy it, not because we feed them.

0:18:07.720 --> 0:18:09.720
<v Speaker 8>So I think that's what's important, right.

0:18:09.960 --> 0:18:11.520
<v Speaker 1>But that's what leads me to the other question.

0:18:11.520 --> 0:18:12.919
<v Speaker 5>And then I know you have a lot of questions,

0:18:12.920 --> 0:18:14.600
<v Speaker 5>But this is another one that I think was very

0:18:14.600 --> 0:18:20.480
<v Speaker 5>specific to me that I'd never seen before. So my mom,

0:18:20.560 --> 0:18:22.520
<v Speaker 5>when she was alive, you know, came to visit a

0:18:23.560 --> 0:18:25.119
<v Speaker 5>couple of times. We usually go to her, but.

0:18:25.160 --> 0:18:26.720
<v Speaker 1>She came a couple times to our house.

0:18:27.680 --> 0:18:32.240
<v Speaker 5>And my mother was never the dog would never see

0:18:32.240 --> 0:18:35.240
<v Speaker 5>my mother be anything but effusive to me. My mother

0:18:35.440 --> 0:18:39.680
<v Speaker 5>was effusive to the dog, but my dog from the

0:18:39.720 --> 0:18:42.240
<v Speaker 5>minute my mother stepped in the house, would not be

0:18:42.320 --> 0:18:46.040
<v Speaker 5>in the same room as my mother, just wouldn't do

0:18:46.080 --> 0:18:47.919
<v Speaker 5>it no matter what. If we called her in for

0:18:47.960 --> 0:18:50.120
<v Speaker 5>a treat and she saw my mom in the room,

0:18:50.200 --> 0:18:53.640
<v Speaker 5>she wouldn't stay in the room. And I thought, what

0:18:54.119 --> 0:18:58.600
<v Speaker 5>is it that she knows that this woman that either

0:18:58.640 --> 0:19:01.439
<v Speaker 5>I have affection for her, or this woman has a

0:19:01.520 --> 0:19:04.240
<v Speaker 5>higher status than me, or I couldn't figure out what

0:19:04.359 --> 0:19:07.639
<v Speaker 5>she's picking up on. My mom wasn't sick, because I

0:19:07.640 --> 0:19:10.480
<v Speaker 5>know dogs can smell illness sometimes and that might have

0:19:10.600 --> 0:19:11.320
<v Speaker 5>pushed her away.

0:19:11.320 --> 0:19:13.880
<v Speaker 1>But that was one of the conundrums.

0:19:14.640 --> 0:19:17.040
<v Speaker 5>Do you have any I'm asking you to be almost

0:19:17.040 --> 0:19:18.480
<v Speaker 5>a dogs like collegies at this point, but do you

0:19:18.520 --> 0:19:21.040
<v Speaker 5>have any inside or have you ever witnessed anything like

0:19:21.080 --> 0:19:21.639
<v Speaker 5>that before?

0:19:24.080 --> 0:19:24.720
<v Speaker 8>I have.

0:19:27.960 --> 0:19:31.280
<v Speaker 6>The last of that to describe this situation since you

0:19:31.400 --> 0:19:36.800
<v Speaker 6>asked so. When when we started the project, you know,

0:19:36.840 --> 0:19:39.760
<v Speaker 6>we were always we were looking for dog volunteers or

0:19:39.840 --> 0:19:42.879
<v Speaker 6>people to volunteer with their dogs, and and of course

0:19:43.359 --> 0:19:46.040
<v Speaker 6>many people volunteered, and we would develop kind of an

0:19:46.080 --> 0:19:49.640
<v Speaker 6>audition tryout process to see which dogs might be suitable

0:19:49.720 --> 0:19:53.560
<v Speaker 6>for MRI training. And one of the students, I mean

0:19:53.560 --> 0:19:55.520
<v Speaker 6>the students in my lap kind of were always first

0:19:55.520 --> 0:19:58.240
<v Speaker 6>of mine, and oftentimes their dogs turned out to be

0:19:58.440 --> 0:20:02.679
<v Speaker 6>unsuitable because they were too anxious, they didn't like the

0:20:02.760 --> 0:20:06.920
<v Speaker 6>noise for all sorts of reasons. Although we had one

0:20:07.000 --> 0:20:11.440
<v Speaker 6>dog who basically we tried to get through the process

0:20:12.280 --> 0:20:16.600
<v Speaker 6>and uh, his owner she came to me one day

0:20:16.920 --> 0:20:19.920
<v Speaker 6>and she says, I don't, I don't think he can

0:20:19.960 --> 0:20:24.080
<v Speaker 6>do it. And I said, I asked her why, and

0:20:24.119 --> 0:20:25.639
<v Speaker 6>she she didn't really want to give me the answer,

0:20:25.640 --> 0:20:26.880
<v Speaker 6>but then she finally said.

0:20:27.280 --> 0:20:28.640
<v Speaker 8>Well, he's a.

0:20:34.000 --> 0:20:38.000
<v Speaker 3>H M.

0:20:39.119 --> 0:20:42.600
<v Speaker 6>His owner she came to me one day, he says,

0:20:43.000 --> 0:20:46.200
<v Speaker 6>I don't, I don't think he can do it. And

0:20:46.240 --> 0:20:49.680
<v Speaker 6>I said, I asked her why, and she she didn't

0:20:49.680 --> 0:20:50.960
<v Speaker 6>really want to give me the answer, but then she

0:20:51.040 --> 0:20:55.080
<v Speaker 6>finally said, well he's a racist m.

0:20:56.520 --> 0:21:00.560
<v Speaker 4>M okay, wow wow.

0:21:01.960 --> 0:21:06.960
<v Speaker 6>Uh, well, i'd bean basically he was. He had been

0:21:07.000 --> 0:21:09.960
<v Speaker 6>adopted from the shelter. We don't know anything about his background,

0:21:10.720 --> 0:21:14.880
<v Speaker 6>but he could not stand to be around African American people.

0:21:14.800 --> 0:21:18.120
<v Speaker 8>Oh my, which was a problem because.

0:21:17.920 --> 0:21:21.560
<v Speaker 6>I mean, you know, people have all while there's work

0:21:21.760 --> 0:21:25.320
<v Speaker 6>in our MRI environment, and and he would just go

0:21:25.680 --> 0:21:29.520
<v Speaker 6>off the handle and become aggressive when he wasn't normally,

0:21:30.240 --> 0:21:35.680
<v Speaker 6>so uh, So the point of the story is that

0:21:35.680 --> 0:21:39.960
<v Speaker 6>that we don't know what association's dogs form, you know,

0:21:40.040 --> 0:21:42.280
<v Speaker 6>before you know, we get them, or even after we

0:21:42.320 --> 0:21:44.199
<v Speaker 6>get them. We don't know kind of what clicks in

0:21:44.280 --> 0:21:48.040
<v Speaker 6>their head. But sometimes they make these associations for reasons

0:21:48.040 --> 0:21:48.720
<v Speaker 6>only they know.

0:21:49.280 --> 0:21:52.680
<v Speaker 4>Yeah, you know, maybe your dog. Maybe Sandy overheard you

0:21:52.760 --> 0:21:55.240
<v Speaker 4>talking about how your mother steals silver work from restaurants.

0:21:56.359 --> 0:21:59.600
<v Speaker 4>So there's some salt check saw checkers, sweet and Low.

0:22:00.240 --> 0:22:03.000
<v Speaker 4>When Jason's mom passed, she left them two million dollars

0:22:03.040 --> 0:22:05.000
<v Speaker 4>worth of sweet of loan that she had taken from restaurants.

0:22:05.359 --> 0:22:07.040
<v Speaker 5>Now, you know what, in thinking about this, you know

0:22:07.080 --> 0:22:10.320
<v Speaker 5>what it might be because I don't know if Sandy

0:22:10.359 --> 0:22:12.600
<v Speaker 5>ever saw any other person with red hair.

0:22:12.760 --> 0:22:14.680
<v Speaker 4>Some of our dogs. There are certain people, no matter

0:22:14.720 --> 0:22:17.160
<v Speaker 4>what you did, they just didn't just didn't like them.

0:22:17.400 --> 0:22:19.639
<v Speaker 4>There's certain people we don't just like and you know

0:22:19.680 --> 0:22:22.280
<v Speaker 4>it's not rational. And you don't even know what it

0:22:22.359 --> 0:22:25.240
<v Speaker 4>is about your history before you go, because the books

0:22:25.240 --> 0:22:29.000
<v Speaker 4>are fascinating, but you're really fascinating. I watched where you've gone,

0:22:29.640 --> 0:22:31.880
<v Speaker 4>not just the dogs, but during COVID that you moved,

0:22:31.880 --> 0:22:35.119
<v Speaker 4>you uprooted your family, you moved remotely to a farm,

0:22:35.160 --> 0:22:37.280
<v Speaker 4>which you'd never done before, which makes me laugh. It's

0:22:37.280 --> 0:22:39.520
<v Speaker 4>like me and a farm gone, what are we doing here?

0:22:39.560 --> 0:22:42.280
<v Speaker 4>Which end is up? And you got these cows. I

0:22:42.320 --> 0:22:44.640
<v Speaker 4>saw that the cows know who you are once they

0:22:44.680 --> 0:22:47.040
<v Speaker 4>got comfortable with you. The cows are lying there and

0:22:47.080 --> 0:22:49.800
<v Speaker 4>you're scratching them. And so we had a guy on

0:22:50.080 --> 0:22:53.960
<v Speaker 4>who has who works at an alligator farming flord, and

0:22:54.000 --> 0:22:56.600
<v Speaker 4>he's got these alligators crawling all over them and petting them,

0:22:56.600 --> 0:22:57.719
<v Speaker 4>and he says, they're not going to bite me. I've

0:22:57.760 --> 0:23:00.880
<v Speaker 4>done this twenty thousand times. And so if I got

0:23:00.920 --> 0:23:04.439
<v Speaker 4>that wrong, this prehistoric looking evil that I'm watching in

0:23:04.480 --> 0:23:08.200
<v Speaker 4>the guys, it's scratching, scratching its head, and I'm seeing

0:23:08.200 --> 0:23:10.639
<v Speaker 4>cows lying with you, not saying that they've evolved the

0:23:10.720 --> 0:23:15.040
<v Speaker 4>same way. It made me really sad in how we

0:23:15.040 --> 0:23:18.960
<v Speaker 4>get stuff wrong with animals. So I let you address

0:23:19.000 --> 0:23:21.080
<v Speaker 4>it where you're at with that now, because apparently you

0:23:21.160 --> 0:23:23.440
<v Speaker 4>love these cows and they love you. If you see

0:23:23.440 --> 0:23:25.760
<v Speaker 4>these videos, and you should, it'll blow your mind. They

0:23:25.880 --> 0:23:29.280
<v Speaker 4>lie down and present present so that you can scratch

0:23:29.359 --> 0:23:33.400
<v Speaker 4>their belly. Was that a shock for you? It is?

0:23:33.480 --> 0:23:35.480
<v Speaker 6>And and and thanks for that because I want to

0:23:35.480 --> 0:23:37.920
<v Speaker 6>give a plug for the book which is coming out,

0:23:38.359 --> 0:23:39.560
<v Speaker 6>so right there.

0:23:39.800 --> 0:23:41.720
<v Speaker 8>Yeah, cow puppy, Cow puppy.

0:23:41.840 --> 0:23:47.359
<v Speaker 5>By the way, ladies and gentlemen, hel puppy can't forget

0:23:47.600 --> 0:23:48.000
<v Speaker 5>it is.

0:23:48.160 --> 0:23:51.600
<v Speaker 6>It is a shock in some ways. But now the

0:23:51.640 --> 0:23:55.640
<v Speaker 6>more the more animals that I get to know, you

0:23:55.640 --> 0:23:59.280
<v Speaker 6>you start to see that there are commonalities. You know,

0:23:59.520 --> 0:24:04.520
<v Speaker 6>that all animals have this capacity to pretty much get

0:24:04.560 --> 0:24:07.920
<v Speaker 6>along with at least their own species, and tabarying degrees

0:24:08.240 --> 0:24:13.240
<v Speaker 6>other species too. The alligator surprises me a little bit

0:24:13.800 --> 0:24:18.120
<v Speaker 6>because I mean, you know, they're old. They're really old, right,

0:24:18.160 --> 0:24:21.280
<v Speaker 6>those animals, but they do you know, but then again,

0:24:21.320 --> 0:24:24.680
<v Speaker 6>they do live together, right, so they have some kind

0:24:24.720 --> 0:24:27.480
<v Speaker 6>of social structure in some sense. They don't eat each

0:24:27.520 --> 0:24:32.040
<v Speaker 6>other typically, and so then you realize it's like wow,

0:24:32.240 --> 0:24:34.960
<v Speaker 6>I mean, all these animals out there have these very

0:24:34.960 --> 0:24:38.600
<v Speaker 6>complicated social structures, and not only that, they have the

0:24:38.680 --> 0:24:44.120
<v Speaker 6>capacity I think built in forgetting enjoyment and some kind

0:24:44.160 --> 0:24:46.280
<v Speaker 6>of reward out of it. Because you know, that's how

0:24:46.280 --> 0:24:48.879
<v Speaker 6>evolution works, you know, it kind of links these things

0:24:48.880 --> 0:24:52.320
<v Speaker 6>that are so important for survival to our reward systems.

0:24:52.800 --> 0:24:56.119
<v Speaker 6>And so yeah, so I kind of fell into this

0:24:56.160 --> 0:24:59.360
<v Speaker 6>world of farming. I got these little cows to help

0:24:59.359 --> 0:25:01.520
<v Speaker 6>me manage pass masters, and then I ended up falling

0:25:01.560 --> 0:25:05.120
<v Speaker 6>in love with them because they have very dog like traits,

0:25:05.200 --> 0:25:09.200
<v Speaker 6>except it's it's like, you know, take your your most anxious,

0:25:09.359 --> 0:25:11.879
<v Speaker 6>kind of nervous dog, and you know, scale it up

0:25:11.920 --> 0:25:14.120
<v Speaker 6>to be about four hundred pounds and then you've got

0:25:14.119 --> 0:25:17.959
<v Speaker 6>a cow kind of So it takes a little bit

0:25:18.000 --> 0:25:22.360
<v Speaker 6>of work, and they reciprocate in ways that it kind

0:25:22.359 --> 0:25:24.880
<v Speaker 6>of makes you like you have to take it down

0:25:24.960 --> 0:25:27.680
<v Speaker 6>several notches just to be around them. They don't play

0:25:27.760 --> 0:25:30.600
<v Speaker 6>like dogs in that way, but but they but their

0:25:30.600 --> 0:25:33.199
<v Speaker 6>calmness kind of rubs off on you. And so so

0:25:33.240 --> 0:25:36.880
<v Speaker 6>that's what I'm you know, trying to tell people. And

0:25:36.880 --> 0:25:38.760
<v Speaker 6>and does it make me think.

0:25:38.600 --> 0:25:40.760
<v Speaker 8>About kind of where my food comes from?

0:25:41.119 --> 0:25:42.320
<v Speaker 1>Yeah, you bet.

0:25:43.000 --> 0:25:45.040
<v Speaker 5>This is where my evolution of all these stories we've

0:25:45.080 --> 0:25:47.800
<v Speaker 5>done Peter with with you know, dogs that are pushing

0:25:47.840 --> 0:25:50.639
<v Speaker 5>buttons and the alligators, and we've done a fair amount

0:25:50.680 --> 0:25:54.320
<v Speaker 5>of stuff that all the bottom line is is that

0:25:54.400 --> 0:25:59.119
<v Speaker 5>these animals are capable of a lot more interaction, a

0:25:59.160 --> 0:26:02.640
<v Speaker 5>lot more cammunication, a lot more self pormination, a lot

0:26:02.680 --> 0:26:06.600
<v Speaker 5>more emotionality, you know, I'm not surprised that cows can

0:26:06.640 --> 0:26:09.800
<v Speaker 5>react like a puppy. But you know, you were talking

0:26:09.800 --> 0:26:11.840
<v Speaker 5>about the animals on your farm, and I'm going, well,

0:26:11.960 --> 0:26:14.119
<v Speaker 5>but certainly not a chicken. And then I'm sitting in

0:26:14.160 --> 0:26:16.080
<v Speaker 5>there going, well, but why not a chicken?

0:26:16.640 --> 0:26:16.840
<v Speaker 4>You know?

0:26:16.920 --> 0:26:20.320
<v Speaker 5>Why am I so quick to dismiss the notion that

0:26:20.400 --> 0:26:23.119
<v Speaker 5>a chicken could be just as capable of some of

0:26:23.160 --> 0:26:28.720
<v Speaker 5>this interaction as a dog or a And where I'm

0:26:28.800 --> 0:26:31.520
<v Speaker 5>left after all these conversations every time is going, I

0:26:31.600 --> 0:26:35.520
<v Speaker 5>don't know how to move through this world. And a

0:26:36.920 --> 0:26:39.120
<v Speaker 5>the easy fix as well, you're a vegan, then you're

0:26:39.119 --> 0:26:42.520
<v Speaker 5>not going to use animals for your sustenance. But the

0:26:43.720 --> 0:26:48.879
<v Speaker 5>innate abuse that we keep on other species as we

0:26:49.000 --> 0:26:53.360
<v Speaker 5>make the world something that functions for us is endless.

0:26:53.880 --> 0:26:56.760
<v Speaker 5>And it was it was not that it's ever okay,

0:26:56.800 --> 0:26:58.960
<v Speaker 5>but it was a little more okay when I thought, well,

0:26:59.040 --> 0:27:02.879
<v Speaker 5>they don't you know again, they can't. You feel it

0:27:03.000 --> 0:27:07.240
<v Speaker 5>that they can't, and this this you know yeah? And

0:27:08.640 --> 0:27:13.760
<v Speaker 5>are you because forgive me, I have not read the books.

0:27:13.800 --> 0:27:16.560
<v Speaker 5>Are you do you move towards any sort of a

0:27:16.760 --> 0:27:22.880
<v Speaker 5>overarching philosophy about what our responsibility is or what what

0:27:22.960 --> 0:27:25.920
<v Speaker 5>we need to at least be considering as we continue

0:27:25.960 --> 0:27:28.560
<v Speaker 5>to reshape this world in the image.

0:27:28.240 --> 0:27:30.840
<v Speaker 1>We know to accommodate all of this.

0:27:32.000 --> 0:27:36.600
<v Speaker 6>Yeah, you know, it's it's an evolving philosophy, to be sure.

0:27:37.760 --> 0:27:40.320
<v Speaker 8>But I'm not I'm not vegan, I'm not vegetarian.

0:27:40.400 --> 0:27:44.960
<v Speaker 6>I don't promote those and I think then, I think

0:27:45.000 --> 0:27:47.320
<v Speaker 6>that's kind of the not the best way to think

0:27:47.320 --> 0:27:50.480
<v Speaker 6>about it. I think you're on the right track. And

0:27:50.520 --> 0:27:53.480
<v Speaker 6>this is how I like to think about it, is Okay, Look,

0:27:53.520 --> 0:27:55.720
<v Speaker 6>we we want to live, we need to eat in

0:27:55.760 --> 0:27:59.119
<v Speaker 6>this world. There's a lot of people that need to

0:27:59.160 --> 0:28:01.800
<v Speaker 6>be fed. How can we do it in a way

0:28:01.840 --> 0:28:05.560
<v Speaker 6>that you know, essentially respects the animals whose lives that

0:28:06.119 --> 0:28:10.000
<v Speaker 6>we depend on. And I know some places do it

0:28:10.000 --> 0:28:12.720
<v Speaker 6>better than we do. I think I think in the

0:28:12.840 --> 0:28:17.920
<v Speaker 6>US it's it's horrible, frankly, Uh, you know, I would

0:28:18.000 --> 0:28:21.239
<v Speaker 6>like to kind of move in that direction, and I

0:28:21.280 --> 0:28:25.840
<v Speaker 6>think people are thinking about that. The problem, of course,

0:28:25.920 --> 0:28:29.359
<v Speaker 6>as I'm sure you know, this is expensive. You know,

0:28:29.520 --> 0:28:33.679
<v Speaker 6>to to raise food and animals that way costs money,

0:28:34.000 --> 0:28:39.200
<v Speaker 6>and not everyone can pay that price, so it's going

0:28:39.280 --> 0:28:42.160
<v Speaker 6>to be slow. I think if consumers want it, then

0:28:43.080 --> 0:28:44.280
<v Speaker 6>you know, things will shift.

0:28:44.920 --> 0:28:47.600
<v Speaker 4>It's been slow. Well, check out the new book Cowpuppy,

0:28:47.640 --> 0:28:50.600
<v Speaker 4>An Unexpected Friendship and a scientist Journey into the Secret

0:28:50.600 --> 0:28:52.320
<v Speaker 4>word of Cows. Can you know? Go online and we

0:28:52.400 --> 0:28:55.120
<v Speaker 4>got links on our site to if you're listening to this,

0:28:55.280 --> 0:28:57.920
<v Speaker 4>Doctor Burns again, thanks so much for check out book

0:28:58.000 --> 0:29:01.400
<v Speaker 4>Cow Puppy and Unexpected Friendship and his Journey into the

0:29:01.440 --> 0:29:03.520
<v Speaker 4>Secret World of Cows. Thanks so much, You're wonderful.

0:29:03.680 --> 0:29:05.480
<v Speaker 1>Thanks guys, a pleasure.

0:29:15.160 --> 0:29:17.360
<v Speaker 4>You know the the it's so it's funny because he

0:29:17.360 --> 0:29:20.080
<v Speaker 4>did all the research and a lot of good information

0:29:20.360 --> 0:29:22.840
<v Speaker 4>there as far as yeah, if you think your dog

0:29:22.920 --> 0:29:26.080
<v Speaker 4>loves you, the research shows to release oxy toastin or

0:29:26.080 --> 0:29:28.280
<v Speaker 4>whatever they love drug in and also the serotonel that

0:29:28.840 --> 0:29:35.720
<v Speaker 4>I still have two things in preparing oxytocin yet is

0:29:35.720 --> 0:29:36.560
<v Speaker 4>the other drug that love?

0:29:36.600 --> 0:29:41.320
<v Speaker 1>Doctor til you know what information I understand?

0:29:41.320 --> 0:29:45.320
<v Speaker 5>Information is powers, David, What did we learned that?

0:29:45.680 --> 0:29:50.840
<v Speaker 9>Well, listen, who knew about the these cows and the

0:29:51.040 --> 0:29:57.320
<v Speaker 9>oxytocin and you know the niacin or whatever Peter's talking about.

0:29:58.480 --> 0:30:04.480
<v Speaker 1>He's just throwing it, David dunk question of neurochemistry.

0:30:05.280 --> 0:30:06.160
<v Speaker 3>I'm just saying.

0:30:08.560 --> 0:30:09.880
<v Speaker 4>The right way you get vanilla.

0:30:10.000 --> 0:30:11.840
<v Speaker 1>Yeah, right, right, exactly.

0:30:12.480 --> 0:30:15.080
<v Speaker 9>Well, but I did actually come up with a theory

0:30:15.280 --> 0:30:19.200
<v Speaker 9>with the Jason and your your dog and your mom. Yes,

0:30:20.600 --> 0:30:23.080
<v Speaker 9>I think I heard rumors there's a little bit too

0:30:23.160 --> 0:30:25.240
<v Speaker 9>much Chanel number five there.

0:30:26.200 --> 0:30:27.400
<v Speaker 1>That could be my mother.

0:30:27.680 --> 0:30:30.680
<v Speaker 5>My mother did wear alone, that is, that's true, and

0:30:30.680 --> 0:30:33.240
<v Speaker 5>and my wife is very sensitive to smells, and so

0:30:33.320 --> 0:30:34.320
<v Speaker 5>there isn't normally.

0:30:34.720 --> 0:30:41.600
<v Speaker 4>Wow, that's look at you, detective boy.

0:30:41.720 --> 0:30:44.160
<v Speaker 1>Okay, that's right, that's right, that's right.

0:30:44.480 --> 0:30:47.400
<v Speaker 9>And and you know now that we're talking about, you know, animals.

0:30:47.400 --> 0:30:49.880
<v Speaker 9>You know obviously that we have the dogs that are

0:30:50.160 --> 0:30:53.040
<v Speaker 9>you know, have these personal interconnections to us, and now

0:30:53.080 --> 0:30:56.200
<v Speaker 9>we have the cows that also can have these personal

0:30:56.200 --> 0:31:00.000
<v Speaker 9>interconnections to us, and you wonder how that will affect

0:31:00.080 --> 0:31:02.520
<v Speaker 9>how they taste.

0:31:02.880 --> 0:31:04.320
<v Speaker 3>So people who are.

0:31:04.160 --> 0:31:07.040
<v Speaker 9>Interested in doing that, they have three years to travel

0:31:07.080 --> 0:31:11.520
<v Speaker 9>to South Korea before the sale and distribution of dog

0:31:11.560 --> 0:31:12.520
<v Speaker 9>meat becomes illegal.

0:31:12.560 --> 0:31:16.000
<v Speaker 1>So you you have a finite time to figure that out.

0:31:17.280 --> 0:31:19.760
<v Speaker 4>I can't imagine you read of all places I was

0:31:19.840 --> 0:31:23.440
<v Speaker 4>waiting for him to give us, now what I was

0:31:23.480 --> 0:31:25.880
<v Speaker 4>thinking he was going to, Yeah, you know what, a

0:31:25.920 --> 0:31:28.320
<v Speaker 4>cow who's scared, you can taste different because dogs run

0:31:28.440 --> 0:31:31.000
<v Speaker 4>snow when you're in stress. That if an animal distress,

0:31:31.040 --> 0:31:32.960
<v Speaker 4>you can taste whatever. I didn't do the instead your

0:31:33.000 --> 0:31:37.240
<v Speaker 4>dog tours for South Korea. He's getting kicked back for something.

0:31:38.920 --> 0:31:41.760
<v Speaker 1>But that it is true. You know, it's interesting.

0:31:42.480 --> 0:31:46.560
<v Speaker 5>We do eat and rabbit and venison, and you know

0:31:46.760 --> 0:31:49.360
<v Speaker 5>they're cute, and so I sit there and go, how

0:31:49.400 --> 0:31:50.640
<v Speaker 5>could you possibly eat it?

0:31:50.920 --> 0:31:54.440
<v Speaker 1>But we're just a counsel, you know.

0:31:54.560 --> 0:31:55.800
<v Speaker 4>It's it's arbitrary.

0:31:56.320 --> 0:31:58.080
<v Speaker 5>You know, Dana has the things. She won't need anything

0:31:58.120 --> 0:31:59.520
<v Speaker 5>that's cuter than her wife.

0:31:59.560 --> 0:32:01.760
<v Speaker 1>That's my right. She goes, I'll eat a fish. I'll

0:32:01.800 --> 0:32:02.040
<v Speaker 1>eat it.

0:32:02.040 --> 0:32:04.280
<v Speaker 4>So wait a minute. So but she wanted, like when

0:32:04.280 --> 0:32:06.920
<v Speaker 4>they bring out the lobster to show you, does she say,

0:32:06.920 --> 0:32:10.840
<v Speaker 4>could you bring out that otter's And it goes, I'm

0:32:10.880 --> 0:32:11.360
<v Speaker 4>just saying not.

0:32:11.720 --> 0:32:12.680
<v Speaker 1>She'd eat the lobster.

0:32:12.800 --> 0:32:14.600
<v Speaker 4>So they have to show a picture because you lost

0:32:14.600 --> 0:32:18.200
<v Speaker 4>her to another lobster. It's adorable, but not the data.

0:32:18.520 --> 0:32:21.040
<v Speaker 4>So that but our point is, yes, so Dana has

0:32:21.080 --> 0:32:24.200
<v Speaker 4>that same same I love you data. But that's pretty insane.

0:32:24.440 --> 0:32:26.400
<v Speaker 1>But that was that insane. I think that's actually a

0:32:26.400 --> 0:32:28.440
<v Speaker 1>good rule that eliminates a lot of things. You proach it.

0:32:28.760 --> 0:32:31.880
<v Speaker 4>So if if we had a cow that looked like

0:32:32.000 --> 0:32:34.280
<v Speaker 4>this frowning had a face, one of those faces that

0:32:34.280 --> 0:32:37.440
<v Speaker 4>you're saying in a cow of that the cow we find,

0:32:37.560 --> 0:32:39.640
<v Speaker 4>hug the cow and you go, Dana, and you don't

0:32:41.360 --> 0:32:44.440
<v Speaker 4>we walked into a door right now, I'll eat it. Yeah,

0:32:44.480 --> 0:32:48.000
<v Speaker 4>But we just we just attribute what we want to animals,

0:32:48.000 --> 0:32:50.240
<v Speaker 4>give them a hierarchy and decide which your pest, which

0:32:50.240 --> 0:32:52.560
<v Speaker 4>are which are But we say that's an invasion, you

0:32:52.600 --> 0:32:52.880
<v Speaker 4>know what.

0:32:52.920 --> 0:32:54.720
<v Speaker 5>I mean, not to get into this subject because we're

0:32:55.160 --> 0:32:57.360
<v Speaker 5>we've already scretted some things that go This won't make

0:32:57.400 --> 0:33:01.440
<v Speaker 5>the show, but it is interesting thing to think about

0:33:02.320 --> 0:33:08.840
<v Speaker 5>the sacrilege that we have put on cannibalism, and we are,

0:33:09.200 --> 0:33:12.680
<v Speaker 5>you know, to many animals other than human beings, we're

0:33:12.800 --> 0:33:13.760
<v Speaker 5>just another cow.

0:33:14.760 --> 0:33:16.880
<v Speaker 4>Well, since you brought it up, let's end this way.

0:33:17.400 --> 0:33:21.000
<v Speaker 4>I always want to fly. I carry condiments just in case.

0:33:22.880 --> 0:33:24.760
<v Speaker 4>I you know, if you all saw the movie with

0:33:24.840 --> 0:33:26.960
<v Speaker 4>the Brazilian soccer team, Jay and I could tell you

0:33:27.040 --> 0:33:29.760
<v Speaker 4>right now as we go out and say goodbye, would I.

0:33:29.720 --> 0:33:32.400
<v Speaker 5>Eat you to come up with something that would be

0:33:32.480 --> 0:33:35.720
<v Speaker 5>really a thoughtful, provocative, yet thoughts.

0:33:35.600 --> 0:33:39.200
<v Speaker 4>Due We started with just just to our audience, who

0:33:39.160 --> 0:33:40.360
<v Speaker 4>are members who were left?

0:33:41.000 --> 0:33:42.760
<v Speaker 1>I asked if how you know I love you?

0:33:42.800 --> 0:33:45.280
<v Speaker 5>And now it's going to because I let you eat

0:33:45.320 --> 0:33:46.680
<v Speaker 5>my foot.

0:33:46.760 --> 0:33:49.200
<v Speaker 4>We started with does your dog love you? And Jason

0:33:49.280 --> 0:33:51.320
<v Speaker 4>was going to close with canalism.

0:33:51.520 --> 0:33:54.880
<v Speaker 1>I wasn't gonna close with it. I'm asking that.

0:33:56.240 --> 0:34:00.800
<v Speaker 4>Punctuation mark, and you know, speaking of cannibalism, there's nowhere

0:34:00.840 --> 0:34:03.160
<v Speaker 4>to go. Good night, everybody. David, did you have anything

0:34:03.200 --> 0:34:04.840
<v Speaker 4>else you want to say after cannibalism?

0:34:05.440 --> 0:34:09.480
<v Speaker 9>I would just say wine pairing I think is probably.

0:34:10.400 --> 0:34:14.040
<v Speaker 5>Thank you.

0:34:14.640 --> 0:34:18.319
<v Speaker 4>This evening. I just want to be completely clear that

0:34:18.440 --> 0:34:20.840
<v Speaker 4>this show does not any way, shape or form advocate

0:34:22.880 --> 0:34:24.840
<v Speaker 4>at all, not at all, non at all. Although that

0:34:24.920 --> 0:34:27.600
<v Speaker 4>was a very good movie. Thank you for joining, Thank

0:34:27.640 --> 0:34:28.440
<v Speaker 4>you for joining us.

0:34:28.600 --> 0:34:31.600
<v Speaker 5>Thank you, thank you very much, love you, thank love you,

0:34:31.719 --> 0:34:34.560
<v Speaker 5>Love you, David, love you more than love you.

0:34:34.640 --> 0:34:36.680
<v Speaker 1>Laurie, everybody in the both love you.

0:34:37.160 --> 0:34:37.480
<v Speaker 4>Love you.

0:34:38.600 --> 0:34:41.280
<v Speaker 3>That's another episode of really no really comes to a close.

0:34:41.360 --> 0:34:44.000
<v Speaker 2>I know you're wondering, who are the ten most famous

0:34:44.040 --> 0:34:47.080
<v Speaker 2>dogs from the silver screen? Well, all in good time,

0:34:47.200 --> 0:34:49.560
<v Speaker 2>my pretty But first let's thank our guest to doctor

0:34:49.640 --> 0:34:52.360
<v Speaker 2>Gregory Burns. You can follow the Good Doctor on his

0:34:52.440 --> 0:34:54.640
<v Speaker 2>website Gregoryburns dot com or.

0:34:54.560 --> 0:34:56.799
<v Speaker 3>On x or he is at g Burns.

0:34:57.000 --> 0:35:00.319
<v Speaker 2>You can also enjoy his newest book, Cow Puppy, An

0:35:00.400 --> 0:35:04.440
<v Speaker 2>Unexpected Friendship and a scientist's journey into the secret world

0:35:04.440 --> 0:35:05.120
<v Speaker 2>of pals.

0:35:06.040 --> 0:35:08.640
<v Speaker 3>Find all pertinent links in our show notes.

0:35:09.280 --> 0:35:12.560
<v Speaker 2>Our little show hangs out on Instagram, TikTok, YouTube, and

0:35:12.640 --> 0:35:15.719
<v Speaker 2>threads at really No Really podcasts. And of course you

0:35:15.760 --> 0:35:18.319
<v Speaker 2>can share your thoughts and feedback with us online at

0:35:18.360 --> 0:35:22.200
<v Speaker 2>reallynoreally dot com. If you have a really some amazing

0:35:22.280 --> 0:35:25.640
<v Speaker 2>factor story that boggles your mind, share it with us

0:35:25.680 --> 0:35:27.799
<v Speaker 2>and if we use it, we will send you a

0:35:27.840 --> 0:35:31.200
<v Speaker 2>little gift. Nothing life changing, obviously, but it's the thought

0:35:31.239 --> 0:35:34.400
<v Speaker 2>that counts. Check out our full episodes on YouTube, hit

0:35:34.440 --> 0:35:37.040
<v Speaker 2>that subscribe button and take that bell so you're updated

0:35:37.080 --> 0:35:39.719
<v Speaker 2>when we release new videos and episodes, which we do

0:35:39.840 --> 0:35:43.520
<v Speaker 2>each Tuesday. So listen and follow us on the iHeartRadio app,

0:35:43.760 --> 0:35:47.640
<v Speaker 2>Apple podcasts or wherever you get your podcasts. And now

0:35:47.680 --> 0:35:49.520
<v Speaker 2>the answer to the question who are the top ten

0:35:49.600 --> 0:35:52.360
<v Speaker 2>most famous dogs for movie or TV history?

0:35:52.600 --> 0:35:53.880
<v Speaker 3>Lugging in at number.

0:35:53.600 --> 0:35:56.440
<v Speaker 2>Ten is Benji, the adorable mixed breed who started in

0:35:56.520 --> 0:35:59.760
<v Speaker 2>six films all bearing his name between nineteen seventy seven

0:35:59.760 --> 0:36:03.360
<v Speaker 2>and twenty eighteen. Number nine is an animated pop blue

0:36:03.440 --> 0:36:06.640
<v Speaker 2>from Blues Clues. Blue ran on Nickelodeon for ten years,

0:36:06.680 --> 0:36:10.520
<v Speaker 2>has been translated into fifteen languages, and spawned spinoffs and

0:36:10.600 --> 0:36:13.799
<v Speaker 2>a live stadium tour. Number eight is Old Yeller from

0:36:13.800 --> 0:36:16.279
<v Speaker 2>the film by the same name. The popular book from

0:36:16.320 --> 0:36:19.160
<v Speaker 2>nineteen fifty six. Became a hit Disney film in nineteen

0:36:19.239 --> 0:36:22.760
<v Speaker 2>fifty seven, and the classic remains a fan favorite even today.

0:36:23.120 --> 0:36:26.240
<v Speaker 2>But watch it with tissues because you're Dennenedam. Number seven

0:36:26.360 --> 0:36:29.960
<v Speaker 2>is another animated favorite. Scooby Doo, the canon Detective was

0:36:29.960 --> 0:36:33.200
<v Speaker 2>born in the nineteen sixties, and TV Guide recently named

0:36:33.239 --> 0:36:36.400
<v Speaker 2>him the fifth greatest TV cartoon of all time. Number

0:36:36.400 --> 0:36:39.160
<v Speaker 2>six has appeared in newspapers and television.

0:36:38.640 --> 0:36:40.360
<v Speaker 3>Specials since nineteen fifty.

0:36:40.600 --> 0:36:44.719
<v Speaker 2>It's Everyone's Favorite Beagle and Charlie Brown's only friend, Snoopy

0:36:45.040 --> 0:36:48.520
<v Speaker 2>like that Red Barron. Number five is Hatchi co or Hatchie,

0:36:48.600 --> 0:36:51.160
<v Speaker 2>the famously loyal and Kita who waited at the train

0:36:51.239 --> 0:36:54.360
<v Speaker 2>station for his owner's return for nine years.

0:36:54.640 --> 0:36:56.000
<v Speaker 3>Hatchie at Dog's.

0:36:55.600 --> 0:36:58.799
<v Speaker 2>Life was a hit film co starring our own Jason Alexander.

0:36:59.040 --> 0:37:00.680
<v Speaker 3>Number four is a real life.

0:37:00.400 --> 0:37:03.440
<v Speaker 2>Dog made famous by his film story It's Falto, the

0:37:03.520 --> 0:37:06.440
<v Speaker 2>amazing Alaskan Husky who led a dog sled team in

0:37:06.560 --> 0:37:10.840
<v Speaker 2>nineteen twenty five to transport a Theoria vaccine from Anchorage

0:37:10.880 --> 0:37:14.799
<v Speaker 2>to Noam, Alaska, a treacherous, near impossible trek of five

0:37:14.920 --> 0:37:16.360
<v Speaker 2>hundred and forty miles.

0:37:16.680 --> 0:37:19.120
<v Speaker 3>Number three is a popular name. Rin Tin Tin.

0:37:19.560 --> 0:37:22.040
<v Speaker 2>Rinny was an actual German shepherd who served in the

0:37:22.080 --> 0:37:24.759
<v Speaker 2>infantry in World War One. His owner brought him back

0:37:24.760 --> 0:37:27.560
<v Speaker 2>to America afterwards and trained him as a movie stunt dog.

0:37:27.800 --> 0:37:29.320
<v Speaker 3>That training made him the star.

0:37:29.200 --> 0:37:31.879
<v Speaker 2>Of twenty seven different films, and when rin Tin Tin

0:37:32.040 --> 0:37:34.840
<v Speaker 2>died in nineteen thirty two, it led to a national

0:37:34.960 --> 0:37:38.240
<v Speaker 2>day of morning as the death of every dog should.

0:37:38.520 --> 0:37:41.000
<v Speaker 2>Number two is the name most people know the beloved

0:37:41.080 --> 0:37:44.480
<v Speaker 2>college named Lassie. She debuted in nineteen thirty nine as

0:37:44.520 --> 0:37:46.880
<v Speaker 2>the affectionate, brilliant and loyal friend.

0:37:46.920 --> 0:37:49.440
<v Speaker 3>She was known to be for her many films.

0:37:49.160 --> 0:37:53.600
<v Speaker 2>Brooks radio shows, comics, toys, and a seventeen season long

0:37:53.680 --> 0:37:57.400
<v Speaker 2>television series, and in the number one spot, It's Dorothy's

0:37:57.440 --> 0:38:01.040
<v Speaker 2>Best Friend, Todo Toto was played by a female black

0:38:01.120 --> 0:38:05.080
<v Speaker 2>brindle pirn Terrier. Actress Judy Garland was so enamored of

0:38:05.120 --> 0:38:07.880
<v Speaker 2>the puff that she tried desperately to adopt him as

0:38:07.920 --> 0:38:10.120
<v Speaker 2>her own. But at the time there was talk of

0:38:10.160 --> 0:38:13.360
<v Speaker 2>a standalone Toto movie, so Miss Garland did.

0:38:13.239 --> 0:38:15.120
<v Speaker 3>Not get to keep her puppy pals.

0:38:15.280 --> 0:38:17.440
<v Speaker 2>But we will never be able to forget the bond

0:38:17.560 --> 0:38:20.000
<v Speaker 2>between them. It was Toto that reveals the man behind

0:38:20.000 --> 0:38:22.440
<v Speaker 2>the curtain is Oz, and it is the Wicked Witch's

0:38:22.440 --> 0:38:25.319
<v Speaker 2>attempt to hurt Toto that makes Dorothy brave enough to

0:38:25.400 --> 0:38:28.359
<v Speaker 2>strike back, all of which proves that Toto is the

0:38:28.400 --> 0:38:31.040
<v Speaker 2>real main character of the Wizard of Oz. And no,

0:38:31.440 --> 0:38:35.919
<v Speaker 2>I will not be hearing any arguments to the contrary.

0:38:37.640 --> 0:38:40.759
<v Speaker 2>Lena Really is a production of iHeartRadio and Blase Entertainment.