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Speaker 1: Hi, guys, there he is Donald. You'll be very happy

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Speaker 1: to know that I don't have my sound effects machine,

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Speaker 1: so any sound effects drops that the audience likes, I

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Speaker 1: will be doing live.

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Speaker 2: This is the best day ever. Oh my god, what

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Speaker 2: just happened? People? Everyone? Today is the best day ever.

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Speaker 1: Because I don't have the sound effects machine.

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Speaker 2: Yes, but none of that, none of that.

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Speaker 1: I love you, ship, sound listen. I'm gonna do them live.

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Speaker 1: I just want the audience hear. What you're trying to

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Speaker 1: get into a day is soon. What you're trying to.

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Speaker 3: Do, that's the only one that you can do that's

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Speaker 3: actually gonna sound authentic.

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Speaker 2: Everyone else you don't sound like Meal tech.

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Speaker 1: Forever Wu Tang forever? What Wo tang forever?

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Speaker 2: It doesn't work. I miss I missed you too. This

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Speaker 2: has been a crazy, crazy, crazy summer. Holy Ship.

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Speaker 1: Yes, it's very bizarre time in our town because nobody

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Speaker 1: can work.

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Speaker 2: Yeah, and it's hot as balls outside.

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Speaker 1: Yes, nobody can work and it's hot as balls outside.

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Speaker 2: This is what I imagine hell is like, hot and workless,

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Speaker 2: hot and workless.

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Speaker 1: Well, that just shows that you love your work too,

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Speaker 1: because a lot of people would imagine hell would be

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Speaker 1: hot and work full. You know what I mean?

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Speaker 2: Well, not if you love what you do.

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Speaker 1: Yeah, you love what you do.

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Speaker 3: I'm one of the very few people in the world

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Speaker 3: that gets to do what he's always wanted to do.

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Speaker 1: Yes, that's probably true, Donald, You're one of an elite

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Speaker 1: group of people that actually gets to do what they

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Speaker 1: love to do. Joel and Daniel too.

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Speaker 2: I don't know how they feel about this job.

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Speaker 1: Okay, no, but Donald's right. Daniel might be like, I

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Speaker 1: will kill them one day.

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Speaker 2: If anybody got to hear what you're trying to get

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Speaker 2: into a day shune.

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Speaker 1: One more fucking time.

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Speaker 2: I have to listen to their voices even after the show.

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Speaker 1: Was Yeah, because Daniel has to edit the show, so

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Speaker 1: for all we know, he's up late, and I'd be like, oh.

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Speaker 2: Soon soon, Donald, if you don't get your mic right.

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Speaker 1: Yes, if he reads that ad wrong, one more fucking time,

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Speaker 1: I'll blow. Yeah. Daniel will be in a visa being like.

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Speaker 2: You got to show me off.

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Speaker 1: Daniel, is that your dream? To be a well paid

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Speaker 1: DJ in a viza on drugs?

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Speaker 2: It was for a little bit. It was for a

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Speaker 2: little bit.

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Speaker 4: I'm not gonna lie though, I do love this job

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Speaker 4: and I love having a real home life. Being gone

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Speaker 4: every weekend and not having like friends to hang out

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Speaker 4: with during the week is tough.

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Speaker 2: So what money DJ in man? That's for damn sure.

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Speaker 4: Hell no, I wish.

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Speaker 1: But he's not talking. I will never reached and he could,

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Speaker 1: of course if he tried. I don't know, but he never.

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Speaker 1: He never reached the he never reached the private jet

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Speaker 1: DJ status.

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Speaker 4: I assume not not quite now. It was a long

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Speaker 4: road and there are many choices I may have changed

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Speaker 4: along the way. However, I'm very proud of that time

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Speaker 4: in my life and I'm happy where I am now.

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Speaker 4: So no regrets.

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Speaker 1: You know I met and I hung out with the

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Speaker 1: dj Z.

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Speaker 2: Do you know him?

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Speaker 1: No, Anton, I do know Anton. Anton is paid. Yes,

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Speaker 1: he's he thinks. So if I made a song like Clarity,

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Speaker 1: then yes.

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Speaker 2: I say, you are a piece.

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Speaker 1: He's so talented. Is he super talented? I don't. I

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Speaker 1: don't listen to that music. So is he super good?

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Speaker 1: He must be, because rules he is super talented. He's

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Speaker 1: an amazing musician, like he was a classically trade pianist.

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Speaker 3: So didn't watch McCalla write that song? Though he didn't

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Speaker 3: write that song, didn't Hillary Duff husband wrote that.

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Speaker 4: Song the lyrics or the music the lyrics, Yeah, yeah,

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Speaker 4: for sure it is.

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Speaker 1: It is his song.

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Speaker 4: I can't remember the name of the singer, but she's

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Speaker 4: also very talented. But I mean he wrote the music

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Speaker 4: part of it. So that's the part that I give

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Speaker 4: him those most credit for. He also works with, I mean,

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Speaker 4: a bunch of talented writers. He's brought up so many people.

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Speaker 4: I got nothing but respect for that.

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Speaker 1: Oh that's nice to hear. He was a very he's

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Speaker 1: a very nice guy. I just met him a few

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Speaker 1: times and he's, uh, he's super nice. I just I

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Speaker 1: also happened to see his house, so I was like,

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Speaker 1: damn anton.

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Speaker 2: Man's question, do you have a movie theater?

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Speaker 1: He just had one of those like I'm a rich DJ.

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Speaker 1: Holy shit houses?

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Speaker 2: Yeah, Like did he have a tennis court?

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Speaker 1: I didn't like survey the grounds. Donald. I was just

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Speaker 1: there for a cocktail party and it was like a

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Speaker 1: wow house and I was like, Wow, this is one

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Speaker 1: of those I don't know his music.

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Speaker 2: Yeah, bake grass are real grass?

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Speaker 1: Is that how you determine wealth?

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Speaker 3: I'm just saying some people determine wealth whether they have

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Speaker 3: a swing in a cement that's Casey.

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Speaker 1: You got to tell that story.

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Speaker 2: Now.

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Speaker 1: You can't leave the audience curious about that.

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Speaker 2: My wife told us that when she was growing up.

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Speaker 1: Are you going to tell this wright or do I

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Speaker 1: need to take over?

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Speaker 2: I'm going to tell her wrong. You need to take over, dude.

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Speaker 1: I need to take over Donald's wife's story just because

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Speaker 1: Donald's too high to remembory.

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Speaker 2: No, it's so long ago.

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Speaker 1: She was talking about how in Waco, Texas, and this

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Speaker 1: was many years.

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Speaker 2: Ago, well Marlin, Texas.

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Speaker 1: Marlin, Texas, that her grandmother had a really nice house

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Speaker 1: for very little money. And she and this is Casey

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Speaker 1: said this without any trying to joke at all. She

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Speaker 1: was like, y'all, she got this house for thirty thousand

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Speaker 1: dollars and this house was nice, y'all. I mean it

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Speaker 1: had a swing set in the seaman.

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Speaker 5: Hell. Yeah.

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Speaker 1: She wasn't trying to be funny. She was like, that

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Speaker 1: was one of the nice features of the house was

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Speaker 1: that the swing set was.

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Speaker 3: Imbedded into the dirt.

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Speaker 1: It wasn't one of those ones where when you swing

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Speaker 1: hard it comes up.

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Speaker 2: No no, no, no, there's no chance of the swing.

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Speaker 1: This fucker was in.

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Speaker 2: It was locked up in that. But dude was joking,

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Speaker 2: He's going off to ods.

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Speaker 1: But Donald, do you remember Casey wasn't joking. She wasn't

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Speaker 1: trying to be funny. She was like being earnest. She

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Speaker 1: was like, y'all it was nice, like the swing set

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Speaker 1: was in the semen.

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Speaker 2: Yeah, she was bragging y'all. Oh no, it was a

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Speaker 2: nice house.

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Speaker 1: Should we talk about going to te Swift because we

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Speaker 1: had a great mandate.

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Speaker 2: Listen that Te Swift? Cody was hate.

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Speaker 1: Yeah, well, Cody, Cody, Cody's Cody's not a fan. We

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Speaker 1: don't listen. Need to listen to Cody. Cody's Cody's all

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Speaker 1: in on beyond.

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Speaker 3: We should listen to Cody because he gets you into

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Speaker 3: shape and everything like that.

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Speaker 1: But no, but I mean he's not a te Swift fan,

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Speaker 1: and Donald and I are. And we had a really

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Speaker 1: nice date. We had a great night.

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Speaker 3: I mean, hanging out with the people that we hung

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Speaker 3: out made it even more special though. Getting again, Yeah,

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Speaker 3: get to see getting to see bree.

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Speaker 1: Uh and Lupin and Young Sarah and Sarah Paulson. It's

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Speaker 1: quite the crew.

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Speaker 6: Oh my gosh, wait a minute. I have like three

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Speaker 6: friends who've met Lapita and they said, she literally stole

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Speaker 6: their breath. She's the most beautiful woman. Oh my god.

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Speaker 1: Donald and I were like, we're like, you know, I

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Speaker 1: know Sarah Paulson, we know Elizabeth Banks, you know I've

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Speaker 1: met Brie Larson. We were we were in the Costa

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Speaker 1: Egos shout out to cost Egos for letting us watch

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Speaker 1: in the box. But anyway, Donald and I were like,

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Speaker 1: you know, we know these these those gals. And then

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Speaker 1: we saw and Amy Adams was there and I know her.

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Speaker 1: And then but then Donald and I both saw Lupina

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Speaker 1: and Young. We both just stopped in our tracks and

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Speaker 1: we're like, our jaws dropped. She's so pretty, dude, and

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Speaker 1: they're all beautiful. I just meant we hadn't met her before.

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Speaker 1: In our start, in our Star sightings.

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Speaker 2: We were surrounded by nothing but beautiful women.

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Speaker 1: Other than Darren Chris, and other than Darren Chris, we

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Speaker 1: were the only guys that funny.

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Speaker 3: And freaking like Ashley Tisdale came up in there, like

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Speaker 3: when we had a crew.

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Speaker 1: And there was that famous TikTok girl's sister. I don't

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Speaker 1: know TikTok dancers, but.

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Speaker 2: Remember her, the one that was on Dancing with the stars.

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Speaker 1: There was a reality show about her family, the Damelio.

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Speaker 1: Yeahmilio's the older sister. Donald and I may have been

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Speaker 1: the only two straight men not accompanying a child there

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Speaker 1: in the all of Sofi Stadium. That is how I felt,

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Speaker 1: as well, Oh do you go? I did? It was great,

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Speaker 1: wasn't it? Dude? It was so incredible.

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Speaker 4: Just the fact that she can go for three and

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Speaker 4: a half hours like that is mind blowing to me.

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Speaker 4: I was just standing there dancing and singing, sure, but

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Speaker 4: like she is performing, singing, bantering for three and a

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Speaker 4: half hours. That conditioning is unparalleled. She is such an

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Speaker 4: impressive performer.

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Speaker 3: Man, she fucked up traffic in Hollywood. Man, I was

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Speaker 3: all gonna say, how about that?

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Speaker 2: Look, it was cool. The first night. I was like, oh, man,

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Speaker 2: Taylor is in town. This is dope.

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Speaker 3: Zach's taking me and we had a great time. I sang,

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Speaker 3: I did all of that stuff. But for the next

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Speaker 3: six days, traffic in Los Angeles was shit.

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Speaker 2: Donald was all because of Taylor.

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Speaker 1: Sweet I only I were loving the show. But I

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Speaker 1: looked at him like, because we were starting to time out,

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Speaker 1: we knew how long the show was, and I was like,

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Speaker 1: I want you to look at all these people, seventy

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Speaker 1: thousand people. I'm like, all these people are going to

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Speaker 1: try and leave the same time, right, So, Donald, we're

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Speaker 1: gonna miss some final tailor.

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Speaker 2: Tracks, right, we missed all of that shit. We was like,

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Speaker 2: that's wrap.

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Speaker 1: We love Taylor, but we don't love two hours of

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Speaker 1: traffic tailor.

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Speaker 2: Now. No, no, no, no. I can't sit in the parking

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Speaker 2: lot for two no.

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Speaker 1: I would have lost my mind. I would have lost

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Speaker 1: my mind. I saw the line for Uber and I

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Speaker 1: was like, there's no way it could not be caught dead.

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Speaker 1: And that least when and were like these big stars

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Speaker 1: like Lupida and Sarah Paulsen, they were disappearing for like

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Speaker 1: an hour and you're like, where'd they go? And they

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Speaker 1: would come back. They had gotten on the merch line.

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Speaker 1: They had been on the line for merch. I was

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Speaker 1: like Donald, I was like, Donald, do you need to go?

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Speaker 1: The cool thing to do would be for you to

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Speaker 1: come home with one of those sweatshirts for Casey And

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Speaker 1: he's like, oh, hell no.

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Speaker 3: The only way I'm getting one of them things with

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Speaker 3: Casey is if, like if Lupita's like, would you like

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Speaker 3: a sweatshirt?

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Speaker 1: You were hoping that Lapita was going to be like

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Speaker 1: I was free.

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Speaker 2: Lars, and I was like, Brie, did you get anything

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Speaker 2: from me?

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Speaker 1: You were hoping that Lupite and Young was going to

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Speaker 1: be like Donald, I googled your wife's sizes and here's That's.

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Speaker 3: How good this freaking party was. That it wasn't just

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Speaker 3: a concert. It was a party, like we were hanging

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Speaker 3: out with some really awesome people who really liked Taylor Swept.

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Speaker 2: That was the other thing.

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Speaker 3: It was amazing that that all of these people really

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Speaker 3: really we weren't there just because it was the Casamigo Suite,

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Speaker 3: like that's the perk.

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Speaker 2: That was one of the perks.

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Speaker 3: Everybody who was there was a genuine Taylor Swift fan

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Speaker 3: and knew all the lyrics.

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Speaker 1: And we didn't know. We didn't know Donald and I

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Speaker 1: knew a fraction of the songs because I think, I well,

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Speaker 1: I really I like Taylor a lot. But my I

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Speaker 1: was my favorite album is Folklore because she made an

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Speaker 1: album with the National So it was like, wow, that's

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Speaker 1: that's the most Taylor kind of music that can be.

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Speaker 1: I love a lot of the pop hits, don't get

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Speaker 1: me wrong, but for me, that's the album that that

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Speaker 1: I responded to most. So there were so many songs

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Speaker 1: that were played, but I didn't I didn't even know.

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Speaker 3: Oh that shit was there's maybe like three songs, four

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Speaker 3: songs of the Whole Night that I was like, oh,

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Speaker 3: I don't know this one.

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Speaker 1: I didn't know the era when she came out like

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Speaker 1: in the Princess dress, like that kind of music over

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Speaker 1: speak now. Yeah, yeah, I don't know the song.

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Speaker 2: No.

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Speaker 4: Uh, that is an album I'm honestly least familiar with.

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Speaker 4: I believe that is her third album.

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Speaker 1: And the country something the Princess sparks.

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Speaker 4: Oh that's what dear John mean, that's means, Yeah, I

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Speaker 4: don't know that ship.

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Speaker 1: Yeah, but we like nineteen eighty nine and we like,

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Speaker 1: what's the reputation that.

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Speaker 2: Oh that shit, what's the one where what's the one

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Speaker 2: where she has.

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Speaker 1: The midnight hat over her face? But that was that

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Speaker 1: was red.

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Speaker 2: Yeah, I know that. Yeah, I know all that.

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Speaker 1: The dancers were incredible.

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Speaker 3: Let's keep it one hundred, all right, let's be on

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Speaker 3: Taylor ain't no dancer. Let's be one hundred about it all.

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Speaker 1: She's a great for me, It's donald.

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Speaker 2: But I'm telling you right now, none of the all

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Speaker 2: y'all be cracking me up with the These motherfuckers can dance.

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Speaker 3: They ass off and then not pay attention to the

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Speaker 3: fact about that there's a Beyonce out there.

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Speaker 2: Come on, man, come on, buddy, there's a Come on buddy.

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Speaker 2: Let's keep it one hundred. Taylor is a great performer

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Speaker 2: and she has a great strut that she does. I'm

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Speaker 2: gonna keep it one hundred with y'all. That strut is powerful.

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Speaker 2: But when it comes to dancing, there's not a lot

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Speaker 2: at the show. There was not a lot of.

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Speaker 1: Em Instagram comments right now. I know, first of all, guys,

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Speaker 1: it's Donald unders don't do it, and it's an underscore

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Speaker 1: in seven f because he was so high he typed it.

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Speaker 2: Ronald No, I was drunk that night.

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Speaker 1: Oh drunk. I I was talking about not Taylor, And

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Speaker 1: I'm not comparing it to Beyonce or Lady Gaga anyway.

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Speaker 1: I thought the dancers that were hired were very good,

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Speaker 1: and the show is just so pretty, the stage production

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Speaker 1: and the lighting and uh, it's it was, like I

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Speaker 1: described her to someone as like a halftime show that

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Speaker 1: went for three and a half hours.

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Speaker 3: Yes, you know what the best part of it was

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Speaker 3: is when the stage is empty and it's just her

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Speaker 3: by herself on the stage, and you'll see how big

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Speaker 3: the stage and how she's commanding that big.

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Speaker 2: Of a stage.

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Speaker 3: It also helps that you have a giant freaking jumbo

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Speaker 3: tron up above. But when you look down and you

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Speaker 3: see just her in this big, giant tea of a stage,

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Speaker 3: Holy cow, it's like, Wow, you you buy yourself out there,

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Speaker 3: and you're doing.

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Speaker 2: It right now.

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Speaker 1: I know, and every and and seventy thousand people are

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Speaker 1: singing your lyrics back to you. What a feeling. That's crazy.

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Speaker 1: I'm gonna go see Coldplay at the Rose Ball on

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Speaker 1: September thirty. That'll be fun because you know that's my jam.

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Speaker 1: They're so fun live.

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Speaker 2: They got any new music, I'm sure they do.

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Speaker 1: I'm I'm going to see all my favorites I just got.

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Speaker 2: Also, one of last thing. She opened the motherfucker up

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Speaker 2: with freaking the song that's popping right now, the summer shit,

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Speaker 2: it's the Summer Jamo. So that should make me want

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Speaker 2: to do the snake like you freaking back, like straight off, dude,

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Speaker 2: straight up.

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Speaker 1: I also want to get a shout out. I want

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Speaker 1: to give a shout out to my very good friend,

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Speaker 1: one of the nicest people I've ever met in my life.

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Speaker 1: His name is Preston Boyd and he is currently playing

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Speaker 1: Javert in the tour of Lame Is Rob which is

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Speaker 1: currently in Los Angeles. And if you're listening to this

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Speaker 1: and you're gonna be in Los Angeles in the next

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Speaker 1: few weeks, I'm telling you go see it. He just

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Speaker 1: is extraordinary. I hope you're gonna go, Donald, I really

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Speaker 1: want to. You should bring Wilder. She'll love it. It's

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Speaker 1: so well done.

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Speaker 3: It's it's it's le mis I don't know, I know

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Speaker 3: it's I know it's singing throughout the whole thing. So

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Speaker 3: I'm hoping that'll that'll be intriguing to her.

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Speaker 1: But you can give her the basics of the story.

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Speaker 1: You could talk her, explain it to her.

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Speaker 2: Yeah, that'll be Yeah, that'll be interesting.

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Speaker 1: Anyway, it's a great production, and I'm so proud of

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Speaker 1: my friend because he's really great in it. So I

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Speaker 1: wanted to say, if you're in LA in the next

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Speaker 1: couple of weeks, go see it at the Pantages, which

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Speaker 1: is to beautiful theater.

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Speaker 3: I can't And also, yeah, before we move on, shout

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Speaker 3: out to Rachel zales Man, Yo, thanks for hooking up

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Speaker 3: the Cosamigo's suite.

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Speaker 2: That was really awesome. So shout out to her. Man.

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Speaker 3: We've known her for a really long time and she's

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Speaker 3: always been really nice to us, So shout out.

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Speaker 1: Yes. And Rachel, I believe, is the head of publicity

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Speaker 1: for Casa Ego, So she was the reason we not

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Speaker 1: that George Clooney doesn't love Donald and I places, but I.

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Speaker 2: Mean, but he I mean, I'm sure he listens to

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Speaker 2: the podcast.

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Speaker 1: Well, I know that George loves the podcast. George, I

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Speaker 1: don't think George was in charge of the guest list.

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Speaker 2: But I'm sure that's part of the reason.

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Speaker 1: I don't know, man with Donald in our minds, she

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Speaker 1: went to George.

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Speaker 3: He's in town, and I think Donald and Zach, after

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Speaker 3: listening to the podcast, would love to be.

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Speaker 1: Yeah, that's in our mind. That's how it happened that

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Speaker 1: George Clooney listens to the podcast, and he was like, Rachel,

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Speaker 1: come in my office please. I know we have limited

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Speaker 1: room in the suite and Lupita's already contacted me, but

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Speaker 1: are there two seats for Zach and Donald? And she's like,

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Speaker 1: aren't they straight. Yeah, are they going to bring children? No, No,

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Speaker 1: they're going to go on a date together.

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Speaker 2: That's exactly what happened. Yeah, here's what happened. I need

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Speaker 2: the sweep for them, Yes, I need this to be

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Speaker 2: a purpose.

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Speaker 1: He had to call Lupita and say, sorry, you only

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Speaker 1: get a plus one.

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Speaker 2: Right, because originally she had the whole thing.

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Speaker 1: Lupita had like plus five, and George had to call

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Speaker 1: her and calm that shit down. I'm sorry, Amy Adams,

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Speaker 1: no children alone, all right? So Donald's going to count

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Speaker 1: us in before he does, I want to say, you know,

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Speaker 1: we're not allowed to talk about scrubs, as you guys know.

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Speaker 1: So Donald and I are looking for cool opportunities to

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Speaker 1: invite really interesting people on the show. Sometimes they'll be

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Speaker 1: famous people, actors or creative types or other fame for

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Speaker 1: other reasons, Like Cody was an interesting to us. And

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Speaker 1: I've been fortunate enough to meet through Krista Miller, who

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Speaker 1: has a very good friend named Claire Staples, who when

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Speaker 1: I met Claire and heard her story and went to

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Speaker 1: her ranch in Malibu, I was just blown away by

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Speaker 1: what she has dedicated her life to. And I said

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Speaker 1: to Donald and Joelle and Daniel. I really want to

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Speaker 1: have this woman on because I've just become obsessed with

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Speaker 1: this woman's Instagram account. She has dedicated her life to

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Speaker 1: rescuing wild horses, and she will explain to us the

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Speaker 1: whole situation why the Bureau of Land Management rounds up

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Speaker 1: these horses, what they do to them, and how she

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Speaker 1: has dedicated her entire life and formed this charity that

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Speaker 1: rehabilitates and rescues these beautiful animals. And I've just been

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Speaker 1: so moved by it. I've been obsessively watching her videos.

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Speaker 1: She has an Instagram account, which we will send you to.

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Speaker 1: I turned my mom onto it, and literally, right before

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Speaker 1: I got on the podcast, my mom is like saying,

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Speaker 1: I can't stop watching these videos. I'm like crying because

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Speaker 1: they're so beautiful.

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Speaker 2: You just go down a rabbit hole, you know what

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Speaker 2: I mean.

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00:19:10,440 --> 00:19:14,080
Speaker 3: You think like you know, you don't, you don't think

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00:19:14,160 --> 00:19:16,200
Speaker 3: about stuff like that, and then all of a sudden,

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Speaker 3: it's you because you recommended it and I watched it.

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Speaker 2: It was like, wait a second, well, let me go

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Speaker 2: down more of this. Don't realize the feelings that these

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Speaker 2: animals have and the long lasting bonds and friendship that

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Speaker 2: they create. And it's really it's really interesting.

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Speaker 1: Yeah, and she's gonna tell us all about it. I

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Speaker 1: just want to give the instagram a shout out right

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Speaker 1: off the bat, because if you love animals, this is

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Speaker 1: just the most beautiful Instagram account. You see how she

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Speaker 1: rehabilitates these horses, and you follow their stories, and people

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Speaker 1: are so invested in their stories because Claire is such

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Speaker 1: a good storyteller. The account handle on Instagram is sky

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Speaker 1: Dog Sanctuary and join uh the four of us in

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00:20:02,480 --> 00:20:05,680
Speaker 1: in uh in following them, and you will just fall

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Speaker 1: in love. And by the way, she'll go on to

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Speaker 1: tell you all about it. But the charity covers that

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Speaker 1: she raises money for these animals. It's also donkeys as well,

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Speaker 1: and and and and other you know, other equine you know,

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Speaker 1: zebras and the rescued from circuses and anything. She'll tell

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Speaker 1: us all about it. But I want you to know

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Speaker 1: that she it's her, it's a lot of it is

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Speaker 1: her money. She's she they're a wealthy couple, and the

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Speaker 1: charity helps raise money for food and vet bills, et cetera.

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Speaker 1: But she and her husband are the ones who bought

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Speaker 1: this nine thousand acre ranch in Bend Oregon and are

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Speaker 1: spending their own money to to rescue examimals. So it's

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Speaker 1: just really really inspiring.

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Speaker 2: Donald counts and six seven eight stories.

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Speaker 7: Sure, we made about a bunch of thousand stories natural.

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Speaker 5: So sweet.

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Speaker 1: All right, Daniel, please let in Claire Staples. Here she comes.

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Speaker 2: Ladies and gentlemen, give it up for Claire Staple. There,

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Speaker 2: she is, there, she is.

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Speaker 1: Hi, Claire.

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Speaker 5: Hello, can you hear me?

441
00:21:33,520 --> 00:21:34,640
Speaker 1: We can sound?

442
00:21:34,800 --> 00:21:35,639
Speaker 2: Are you good to see you?

443
00:21:35,840 --> 00:21:39,040
Speaker 1: Welcome to the program, Claire Staples. I am so excited

444
00:21:39,040 --> 00:21:41,080
Speaker 1: that you made this happen, that you're here with us.

445
00:21:41,880 --> 00:21:44,080
Speaker 5: It's kind of a dream come true moment for me

446
00:21:44,640 --> 00:21:47,560
Speaker 5: to be on your podcast, to be speaking to you.

447
00:21:47,960 --> 00:21:50,760
Speaker 2: We are very happy to make your dreams come true.

448
00:21:50,920 --> 00:21:54,440
Speaker 1: That's what we do here one how we do it, Claire. First,

449
00:21:54,440 --> 00:21:57,920
Speaker 1: I want you to meet the legendary Donald Faison. Hello, Donald,

450
00:21:58,640 --> 00:22:01,960
Speaker 1: And that's a Joel and Dan, our partners in this endeavor.

451
00:22:02,359 --> 00:22:04,119
Speaker 5: Hey, guys, I just.

452
00:22:04,119 --> 00:22:08,080
Speaker 1: Want to tell the audience I had the distance incredible experience.

453
00:22:08,200 --> 00:22:10,000
Speaker 1: Christa Miller said to me, I want to take you

454
00:22:10,040 --> 00:22:15,120
Speaker 1: to my friend's ranch in Malibu. She rescues wild horses,

455
00:22:15,800 --> 00:22:19,280
Speaker 1: And I said, well, I love animals. That sounds really interesting.

456
00:22:19,320 --> 00:22:22,760
Speaker 1: And I went and I saw this ranch, which is

457
00:22:22,880 --> 00:22:25,879
Speaker 1: relatively small to what Claire has going on in Bend, Oregon,

458
00:22:25,920 --> 00:22:29,480
Speaker 1: which is nine thousand acres. And Claire started to tell

459
00:22:29,520 --> 00:22:33,520
Speaker 1: me the story of why and what's going on with

460
00:22:33,680 --> 00:22:36,160
Speaker 1: the Bureau of Land Management and wild horses, and I

461
00:22:36,200 --> 00:22:38,479
Speaker 1: was just blown away and the more she talked and

462
00:22:38,520 --> 00:22:42,439
Speaker 1: she was so captivating. I then followed her on Instagram

463
00:22:42,520 --> 00:22:45,040
Speaker 1: and Claire I was just telling the audience that my mom,

464
00:22:45,320 --> 00:22:48,159
Speaker 1: literally right before I got in this podcast, text me,

465
00:22:48,240 --> 00:22:51,480
Speaker 1: I can't stop watching Claire's videos. There's so moving. She's like,

466
00:22:51,520 --> 00:22:55,120
Speaker 1: I'm crying watching these videos. So you've already got my mom,

467
00:22:55,240 --> 00:22:59,159
Speaker 1: and I hooked. Will you please just start at the

468
00:22:59,240 --> 00:23:02,760
Speaker 1: very beginning, because I imagine most people like myself know

469
00:23:02,920 --> 00:23:07,159
Speaker 1: nothing about what's going on first and foremost, why is

470
00:23:07,240 --> 00:23:12,600
Speaker 1: the Bureau of Land Management rounding up these horses and

471
00:23:12,640 --> 00:23:13,560
Speaker 1: how do they do it?

472
00:23:13,920 --> 00:23:17,320
Speaker 3: Okay, but before we start, sorry, I'm sorry. I had

473
00:23:17,359 --> 00:23:19,840
Speaker 3: no idea that this was happening. I thought this had

474
00:23:20,080 --> 00:23:25,160
Speaker 3: I thought horses were already bred in captivity. I didn't

475
00:23:25,160 --> 00:23:27,320
Speaker 3: know that there were still wild horses out there.

476
00:23:27,520 --> 00:23:29,120
Speaker 1: Okay, So.

477
00:23:31,040 --> 00:23:33,280
Speaker 2: Just to know, just the history of it all. This

478
00:23:33,400 --> 00:23:37,399
Speaker 2: land was once filled with horses like.

479
00:23:40,320 --> 00:23:43,880
Speaker 3: Zebra in Africa, you know what I mean, herds and

480
00:23:43,920 --> 00:23:45,119
Speaker 3: herds of horses.

481
00:23:45,720 --> 00:23:48,159
Speaker 5: No, and it's absolutely true. There used to be like

482
00:23:48,280 --> 00:23:52,840
Speaker 5: between two to five million wild horses all across the

483
00:23:52,920 --> 00:23:58,720
Speaker 5: Western States. And it is true when white man came

484
00:23:58,800 --> 00:24:02,280
Speaker 5: from the east to the west on the railroads that

485
00:24:02,320 --> 00:24:07,040
Speaker 5: were now built, actually they would give shotguns to the

486
00:24:07,080 --> 00:24:10,119
Speaker 5: passengers riding because as they went along they would shoot

487
00:24:10,119 --> 00:24:13,280
Speaker 5: buffalo or the wild horses just for entertainment, you know,

488
00:24:13,359 --> 00:24:16,880
Speaker 5: because they were bored on this cross country trip. That

489
00:24:17,119 --> 00:24:18,879
Speaker 5: and then I don't know if you guys know the

490
00:24:18,920 --> 00:24:22,719
Speaker 5: film The Misfits with James Deen and Marilyn Monroe. It's

491
00:24:22,760 --> 00:24:26,159
Speaker 5: an extraordinary film, but basically James Den plays a mustanger

492
00:24:26,680 --> 00:24:29,800
Speaker 5: back in the probably the fifties or sixties, and these

493
00:24:29,880 --> 00:24:33,280
Speaker 5: cowboys used to go out and round up hundreds of

494
00:24:33,320 --> 00:24:36,280
Speaker 5: wild horses and use them for a chicken feed and

495
00:24:36,440 --> 00:24:41,639
Speaker 5: pet food. And over that time the numbers diminished and diminished,

496
00:24:41,800 --> 00:24:45,480
Speaker 5: and eventually it got down to about twenty seven thousand

497
00:24:46,240 --> 00:24:49,159
Speaker 5: wild horses in the Western States, which from the millions

498
00:24:49,200 --> 00:24:56,000
Speaker 5: there were, was practically extinct. Yep, and this amazing woman

499
00:24:56,160 --> 00:24:58,840
Speaker 5: in Nevada happened. She was working as a secretary in

500
00:24:58,920 --> 00:25:02,879
Speaker 5: Reno and followed a slaughter truck that had blood pouring

501
00:25:02,920 --> 00:25:05,200
Speaker 5: out of it all the way to a slaughter house,

502
00:25:05,520 --> 00:25:08,840
Speaker 5: saw these wild horses being unloaded to be slaughtered. And

503
00:25:08,920 --> 00:25:11,479
Speaker 5: from that day in nineteen seventy one, well, in nineteen

504
00:25:11,480 --> 00:25:15,800
Speaker 5: seventy one, she actually got legislation passed. But she started

505
00:25:15,800 --> 00:25:20,240
Speaker 5: this amazing grassroots organization where she had kids right to

506
00:25:20,280 --> 00:25:23,920
Speaker 5: the president and ask him to protect America's wild horses.

507
00:25:24,240 --> 00:25:27,760
Speaker 5: And Richard Nixon actually brought in a bill to protect

508
00:25:27,880 --> 00:25:31,320
Speaker 5: the wild horses and wild Boroughs of America and.

509
00:25:31,840 --> 00:25:33,479
Speaker 1: Just paused there because I had to google this. Our

510
00:25:33,520 --> 00:25:37,440
Speaker 1: wild boroughs means wild donkey. Yes see, I did my homework.

511
00:25:37,440 --> 00:25:37,840
Speaker 2: You did.

512
00:25:38,880 --> 00:25:43,120
Speaker 5: Yeah. So this amazing piece of legislation came in obstensively

513
00:25:43,160 --> 00:25:45,920
Speaker 5: to protect them and increase their numbers. And since then

514
00:25:45,960 --> 00:25:50,200
Speaker 5: it's really been a battle between advocates for the wild horses,

515
00:25:50,760 --> 00:25:56,600
Speaker 5: the cattle ranchers, and extracted mining companies because our public

516
00:25:56,680 --> 00:26:00,159
Speaker 5: lands where these wild horses live are also used to

517
00:26:00,240 --> 00:26:04,159
Speaker 5: mine uranium and plutonium and oil and gas and coal,

518
00:26:04,320 --> 00:26:10,399
Speaker 5: and so these so the government's intent is really just

519
00:26:10,400 --> 00:26:12,639
Speaker 5: to clear the public lands and wild horses because they

520
00:26:12,680 --> 00:26:15,280
Speaker 5: don't make any money off them, and they do the

521
00:26:15,320 --> 00:26:20,800
Speaker 5: cattle lobbyists have enormous pull and sway in Congress. But

522
00:26:20,960 --> 00:26:23,679
Speaker 5: you know, it is funny because we always used to

523
00:26:23,680 --> 00:26:26,200
Speaker 5: talk about the BLM rounding up these horses, and then

524
00:26:26,840 --> 00:26:35,560
Speaker 5: Black Lives Matter came along, and then.

525
00:26:32,080 --> 00:26:34,399
Speaker 1: Wait, what does Black Lives Matter have to do with

526
00:26:34,440 --> 00:26:36,520
Speaker 1: the wild horses? You've already lost me.

527
00:26:37,640 --> 00:26:40,120
Speaker 5: Why are they out there rounding up all world horses?

528
00:26:40,280 --> 00:26:43,040
Speaker 5: It was a very confusing pivot that the organization made.

529
00:26:43,119 --> 00:26:45,760
Speaker 5: So I try and say the longer version as you

530
00:26:46,000 --> 00:26:47,639
Speaker 5: just did. Bureau of Land Management.

531
00:26:47,880 --> 00:26:51,200
Speaker 1: Okay, but Claire, why so just to go slowly because

532
00:26:51,200 --> 00:26:54,240
Speaker 1: there's a lot to digest. Yeah, is the cattle lobby

533
00:26:54,400 --> 00:26:58,560
Speaker 1: at the heart of why they are rounding up these horses?

534
00:26:59,359 --> 00:27:03,399
Speaker 5: A lot of the yes, they have just historically in

535
00:27:03,480 --> 00:27:06,440
Speaker 5: a state like Wyoming for example. You know, you don't

536
00:27:06,520 --> 00:27:10,200
Speaker 5: have to watch Yellowstone and these these cattle barons back

537
00:27:10,240 --> 00:27:12,280
Speaker 5: in the day had so much power and they really

538
00:27:12,320 --> 00:27:16,440
Speaker 5: treated public lands as a free grazing asset for their

539
00:27:16,480 --> 00:27:19,159
Speaker 5: cows that they would turn out onto public lands. They

540
00:27:19,200 --> 00:27:21,840
Speaker 5: would fatten them up and then bring them into slaughter

541
00:27:21,920 --> 00:27:23,800
Speaker 5: and make a lot of money from it. But these

542
00:27:23,920 --> 00:27:27,800
Speaker 5: days a lot of the people that own these massive

543
00:27:28,040 --> 00:27:30,879
Speaker 5: cattle ranches are really doing it as a tax break.

544
00:27:31,040 --> 00:27:35,919
Speaker 5: They're massive conglomerations like the Koch brothers in Hilton and

545
00:27:36,320 --> 00:27:39,560
Speaker 5: these they get so many tax breaks from running this

546
00:27:39,760 --> 00:27:44,320
Speaker 5: kind of scam where the tax payers are paying to

547
00:27:44,720 --> 00:27:47,600
Speaker 5: not only round up the wild horses in favor of

548
00:27:47,680 --> 00:27:52,800
Speaker 5: cows and sheep, but also because they're the people that

549
00:27:52,840 --> 00:27:56,520
Speaker 5: are electing the people in these states. So the cattle lobbyists,

550
00:27:56,520 --> 00:27:59,040
Speaker 5: you know, put money into their campaigns and get them

551
00:27:59,040 --> 00:28:02,080
Speaker 5: elected and change. They keep rounding up the horses and

552
00:28:02,160 --> 00:28:05,520
Speaker 5: skeep goating them as being the most detrimental thing to

553
00:28:05,520 --> 00:28:08,880
Speaker 5: public lands, when really cows and sheep out number horses

554
00:28:08,920 --> 00:28:11,440
Speaker 5: fifty to one sometimes on public lands.

555
00:28:11,440 --> 00:28:14,080
Speaker 2: They're just saying that the horses are grazing too much?

556
00:28:14,680 --> 00:28:16,000
Speaker 2: Are you fucking kidding me?

557
00:28:16,160 --> 00:28:16,360
Speaker 5: Now?

558
00:28:16,400 --> 00:28:18,600
Speaker 1: And the percentages are tiny. Clear, I look this up

559
00:28:18,640 --> 00:28:20,320
Speaker 1: and you'll know if this is accurate not. But I

560
00:28:20,359 --> 00:28:22,400
Speaker 1: was just again trying to be a good interviewer, because

561
00:28:22,400 --> 00:28:25,960
Speaker 1: Donald and I are going teaching ourselves to be really

562
00:28:25,960 --> 00:28:30,960
Speaker 1: good interviewers. It looks, you know, the percentages of horses

563
00:28:31,000 --> 00:28:34,879
Speaker 1: to livestock is minuscule, minuscule. How do they get away

564
00:28:35,040 --> 00:28:40,120
Speaker 1: with blaming the loss of whatever I'm assuming is the

565
00:28:40,160 --> 00:28:43,160
Speaker 1: feed to the horses if the number of cattle outnumber

566
00:28:43,440 --> 00:28:46,560
Speaker 1: the horses by so much of a percentage.

567
00:28:47,240 --> 00:28:49,520
Speaker 5: Yeah, and I know this is going to come as

568
00:28:49,560 --> 00:28:52,680
Speaker 5: a huge shocker to you, but the government lies. What

569
00:28:54,600 --> 00:28:58,040
Speaker 5: The BLM are an agency, government agency under the Department

570
00:28:58,040 --> 00:29:01,040
Speaker 5: of the Interior, and they saw of make up a

571
00:29:01,040 --> 00:29:03,640
Speaker 5: whole bunch of reasons for why the horses have to

572
00:29:03,720 --> 00:29:05,960
Speaker 5: keep being rounded up. But really it comes back to

573
00:29:06,000 --> 00:29:08,800
Speaker 5: the same reason the buffalo went extinct, or you know,

574
00:29:08,960 --> 00:29:12,920
Speaker 5: the Native American Indians were put on reservations. It's no

575
00:29:13,080 --> 00:29:15,320
Speaker 5: different to the wild West that it used to be.

576
00:29:15,440 --> 00:29:18,240
Speaker 5: It's a land grab. It's let's get rid of everything

577
00:29:18,280 --> 00:29:21,920
Speaker 5: that's inconvenient and not making us money. And that's their

578
00:29:21,920 --> 00:29:25,680
Speaker 5: primary purpose they think for being. And it's just it's

579
00:29:25,720 --> 00:29:28,440
Speaker 5: been an amazing thing in the last few years because

580
00:29:28,720 --> 00:29:31,800
Speaker 5: there because of social media, there are now so many

581
00:29:31,840 --> 00:29:35,360
Speaker 5: groups photographers that go out and photograph these wild horses,

582
00:29:35,400 --> 00:29:39,240
Speaker 5: which are so beautiful, and I think most of the

583
00:29:39,280 --> 00:29:43,480
Speaker 5: American public would rather see, you know, herds of picturesque

584
00:29:43,600 --> 00:29:46,719
Speaker 5: horses that all have names now and you know, are

585
00:29:46,840 --> 00:29:49,160
Speaker 5: very well known. And then and then the BLM comes

586
00:29:49,160 --> 00:29:51,280
Speaker 5: and rounds up, you know, three thousand of them at

587
00:29:51,280 --> 00:29:54,200
Speaker 5: a time, and it's heartbreaking for a lot of people.

588
00:29:54,240 --> 00:29:56,760
Speaker 5: But there just doesn't seem to be anything that we

589
00:29:56,840 --> 00:29:59,040
Speaker 5: can do. They have the law on their sides, and

590
00:29:59,840 --> 00:30:00,719
Speaker 5: it happening.

591
00:30:00,800 --> 00:30:04,200
Speaker 2: It's so crazy, man, because it seems like horses, mustangs,

592
00:30:04,240 --> 00:30:06,720
Speaker 2: all of that. It seems so American, you know what

593
00:30:06,720 --> 00:30:11,280
Speaker 2: I mean. It seems it's like it's like apple Pie

594
00:30:11,360 --> 00:30:14,800
Speaker 2: almost the horse, you know what I mean, Cowboys, all

595
00:30:14,800 --> 00:30:20,120
Speaker 2: of that stuff. And it's really interesting that the government's

596
00:30:20,200 --> 00:30:21,640
Speaker 2: trying to round them.

597
00:30:21,600 --> 00:30:23,920
Speaker 1: Up and take us into chapter two of the story

598
00:30:24,560 --> 00:30:27,040
Speaker 1: just to just to go through it all. So then

599
00:30:27,080 --> 00:30:28,800
Speaker 1: when they do talk us through the round up, they

600
00:30:28,880 --> 00:30:32,120
Speaker 1: round up these wild horses using all using helicopters. I

601
00:30:32,160 --> 00:30:33,920
Speaker 1: believe you're gonna tell us about it, and then they

602
00:30:33,960 --> 00:30:38,040
Speaker 1: put them in these sort of holding pens that, as

603
00:30:38,080 --> 00:30:41,040
Speaker 1: you can imagine, are not ideal conditions at all. So

604
00:30:41,080 --> 00:30:42,240
Speaker 1: tell us about that part of it.

605
00:30:43,040 --> 00:30:46,200
Speaker 5: Yeah, So they announce a round up, they ask for

606
00:30:46,240 --> 00:30:49,360
Speaker 5: public comment, they ignore them all and then they come

607
00:30:49,680 --> 00:30:51,880
Speaker 5: during a certain you know, they'll say, okay, this round

608
00:30:51,960 --> 00:30:56,120
Speaker 5: up is going to take two weeks, and helicopters come

609
00:30:56,400 --> 00:30:59,880
Speaker 5: and push all these round horses, all these wild horses

610
00:31:00,240 --> 00:31:03,640
Speaker 5: into a trap which kind of has just burlap on

611
00:31:03,720 --> 00:31:07,000
Speaker 5: either side, and they use a judas horse, which is

612
00:31:07,000 --> 00:31:08,280
Speaker 5: really interesting that it's.

613
00:31:08,160 --> 00:31:09,960
Speaker 1: Called judas horse. What's that.

614
00:31:10,680 --> 00:31:13,600
Speaker 5: So they hold on to a tame horse who's trained

615
00:31:13,640 --> 00:31:16,600
Speaker 5: to run into the trap, and when he starts running

616
00:31:16,640 --> 00:31:19,080
Speaker 5: alongside the other horses, they all follow him in, which

617
00:31:19,080 --> 00:31:22,640
Speaker 5: is why he's so I know he's a judas he's

618
00:31:22,680 --> 00:31:26,200
Speaker 5: betrayed all his Yeah, he turns on them. So that's

619
00:31:26,240 --> 00:31:31,240
Speaker 5: always interesting. But I mean, the roundups are horrific and brutal.

620
00:31:31,440 --> 00:31:34,360
Speaker 5: A lot of the horses die or are a shot

621
00:31:34,400 --> 00:31:37,640
Speaker 5: at the trap site for having any kind of impediment,

622
00:31:37,800 --> 00:31:40,320
Speaker 5: like if they've can't see out of one eye, or

623
00:31:40,360 --> 00:31:43,880
Speaker 5: they have you know, a broken knee, puffed up me.

624
00:31:44,040 --> 00:31:46,400
Speaker 5: It's things they've been living out in the world and

625
00:31:46,440 --> 00:31:48,920
Speaker 5: they were just chased by helicopter and managed to survive that,

626
00:31:49,080 --> 00:31:51,880
Speaker 5: and then sadly they shoot them at the trap site

627
00:31:51,880 --> 00:31:55,959
Speaker 5: for if they think they're unadoptable, and they're then taken

628
00:31:56,000 --> 00:32:00,320
Speaker 5: to short term holding facilities which are all over the

629
00:32:00,320 --> 00:32:03,600
Speaker 5: Western States, in every state, and they're kept there. Some

630
00:32:03,760 --> 00:32:07,280
Speaker 5: are adopted out, but most tend to go to these

631
00:32:07,360 --> 00:32:11,400
Speaker 5: long term holding facilities, which is yet another way for

632
00:32:11,600 --> 00:32:14,520
Speaker 5: ranchers and cowboys to make money off these wild horses,

633
00:32:14,560 --> 00:32:18,760
Speaker 5: because they get paid millions to have wild horses on

634
00:32:19,160 --> 00:32:22,200
Speaker 5: their land or stockpile them or keep them in pens

635
00:32:22,280 --> 00:32:26,000
Speaker 5: until they die. So it's a pretty sad life from

636
00:32:26,280 --> 00:32:26,760
Speaker 5: the day.

637
00:32:26,960 --> 00:32:28,320
Speaker 2: Wait, I'm so confused.

638
00:32:28,360 --> 00:32:31,720
Speaker 3: Why are they paid millions to house horses but not

639
00:32:31,880 --> 00:32:34,600
Speaker 3: millions to take care of the horses. So you don't

640
00:32:34,640 --> 00:32:36,000
Speaker 3: have to take care of the horse. All you have

641
00:32:36,040 --> 00:32:37,080
Speaker 3: to do is house the horse.

642
00:32:37,560 --> 00:32:40,640
Speaker 5: Yeah, how's the horse? And you get paid a certain

643
00:32:40,680 --> 00:32:43,760
Speaker 5: amount a day. And it really is a black hole

644
00:32:43,840 --> 00:32:46,880
Speaker 5: that horses disappear into and there's very little way of

645
00:32:46,960 --> 00:32:48,920
Speaker 5: finding out where they went or so.

646
00:32:48,880 --> 00:32:50,840
Speaker 3: They could be turned into they could be slaughtered and

647
00:32:50,920 --> 00:32:51,600
Speaker 3: turned into food.

648
00:32:51,680 --> 00:32:55,040
Speaker 1: Yeah, talk about the slaughter piece, Claire, Because Claire was

649
00:32:55,040 --> 00:32:57,440
Speaker 1: telling me that the government has a program where they

650
00:32:58,240 --> 00:33:00,680
Speaker 1: say you can adopt one of the horses and they'll

651
00:33:00,720 --> 00:33:03,720
Speaker 1: actually pay you one thousand dollars to take on one

652
00:33:03,760 --> 00:33:07,840
Speaker 1: of these animals. Yeah, but then they discovered that there's

653
00:33:07,840 --> 00:33:10,880
Speaker 1: a loophole where people are quote unquote adopting them and

654
00:33:10,920 --> 00:33:14,400
Speaker 1: then selling them for slaughter for meat in Mexico. Do

655
00:33:14,440 --> 00:33:14,960
Speaker 1: I have that right?

656
00:33:15,120 --> 00:33:19,880
Speaker 5: Yeah, Mexico and Canada. So yeah, that's exactly what happens.

657
00:33:19,960 --> 00:33:22,920
Speaker 5: People come and they might take four or eight or

658
00:33:23,040 --> 00:33:25,600
Speaker 5: twelve or sixteen, because you can adopt them in groups

659
00:33:25,600 --> 00:33:28,360
Speaker 5: of four, so they get their entire family to each

660
00:33:28,400 --> 00:33:32,160
Speaker 5: adopt four, bring them to their place, and then as

661
00:33:32,200 --> 00:33:34,360
Speaker 5: soon as they get the title for the horse, and

662
00:33:34,400 --> 00:33:36,960
Speaker 5: it means they own them, they take them to the

663
00:33:37,000 --> 00:33:40,959
Speaker 5: local auction livestock auction and sell them from meat money,

664
00:33:41,200 --> 00:33:43,920
Speaker 5: which is the price per pound that they're selling out

665
00:33:44,000 --> 00:33:46,440
Speaker 5: at that time, and then they're shipped to either Mexico

666
00:33:46,680 --> 00:33:50,920
Speaker 5: or Canada because Americas shut down horslaughter plants a long

667
00:33:50,960 --> 00:33:54,440
Speaker 5: time ago, just because Americans decided we don't eat horses,

668
00:33:54,520 --> 00:33:57,880
Speaker 5: their companion animals. They have helped us found this country

669
00:33:57,920 --> 00:34:00,440
Speaker 5: and pull a plow and go into war with and

670
00:34:00,560 --> 00:34:01,160
Speaker 5: we don't.

671
00:34:00,920 --> 00:34:04,440
Speaker 2: Eat and we don't want them here anymore.

672
00:34:04,800 --> 00:34:09,720
Speaker 1: Apparently, Yeah, I now clear explain to me the loophole

673
00:34:09,760 --> 00:34:14,480
Speaker 1: how does if we have outlawed slaughter. But the loophole

674
00:34:14,560 --> 00:34:16,880
Speaker 1: is that you can sell it to someone in Mexico

675
00:34:16,920 --> 00:34:17,359
Speaker 1: who can.

676
00:34:17,280 --> 00:34:18,960
Speaker 2: Slaughter it and you still get paid.

677
00:34:19,320 --> 00:34:21,560
Speaker 1: You get one thousand dollars per horse to take it.

678
00:34:22,000 --> 00:34:24,680
Speaker 2: Yes, they pay you to take care of it too,

679
00:34:24,719 --> 00:34:25,320
Speaker 2: Am I correct?

680
00:34:25,320 --> 00:34:28,880
Speaker 1: No, they're adopt it. Yeah, exactly, you can adopt I mean,

681
00:34:28,880 --> 00:34:30,400
Speaker 1: correct me if I'm wrong. Clear, you can literally take

682
00:34:30,440 --> 00:34:32,960
Speaker 1: a thousand dollars per horse to adopt it and then

683
00:34:33,000 --> 00:34:34,800
Speaker 1: turn around and sell it to slaughter in Mexico.

684
00:34:35,200 --> 00:34:37,719
Speaker 5: Yeah, so you sell it to a kill buyer. You

685
00:34:37,760 --> 00:34:39,799
Speaker 5: sell it at a livestock auction, but it's usually going

686
00:34:39,840 --> 00:34:42,359
Speaker 5: to be a kill buyer that buys up these large

687
00:34:42,440 --> 00:34:46,160
Speaker 5: numbers of unhandled wild horses because there's not much other

688
00:34:46,280 --> 00:34:49,120
Speaker 5: use for them, and then they will ship them in

689
00:34:49,560 --> 00:34:53,080
Speaker 5: huge semi trucks across the border to Mexico where they

690
00:34:53,520 --> 00:34:57,080
Speaker 5: are killed in the most horrifying way. So we won't

691
00:34:57,120 --> 00:34:59,680
Speaker 5: even talk about that. It's too horrible to even think

692
00:34:59,680 --> 00:35:00,000
Speaker 5: about it.

693
00:35:00,440 --> 00:35:02,480
Speaker 1: Okay. Now, when we come back, we're gonna do a

694
00:35:02,560 --> 00:35:05,239
Speaker 1: quick break. That's all the bad news. When we come

695
00:35:05,280 --> 00:35:06,960
Speaker 1: back after this break, we're gonna tell you what this

696
00:35:07,040 --> 00:35:10,120
Speaker 1: angel of a human being sent from the heavens above,

697
00:35:10,640 --> 00:35:14,320
Speaker 1: has dedicated her life to doing to save the animals.

698
00:35:14,320 --> 00:35:15,120
Speaker 1: Will be right.

699
00:35:14,960 --> 00:35:22,960
Speaker 2: Back and we're back.

700
00:35:24,320 --> 00:35:29,200
Speaker 1: We're black with Claire Staples Claire one of the videos.

701
00:35:29,320 --> 00:35:31,200
Speaker 1: So I want you to tell us all about the

702
00:35:31,239 --> 00:35:34,440
Speaker 1: foundation you founded. I sent listeners to it already. You

703
00:35:34,520 --> 00:35:38,440
Speaker 1: have to follow her on Instagram Skydog Sanctuary. Do I

704
00:35:38,440 --> 00:35:38,960
Speaker 1: have that right?

705
00:35:39,520 --> 00:35:40,719
Speaker 5: Yes? Correct, you will.

706
00:35:40,760 --> 00:35:43,319
Speaker 1: You will be like my mom and I or wait,

707
00:35:43,320 --> 00:35:47,520
Speaker 1: it's my mom and me Krista your friend christ By

708
00:35:47,520 --> 00:35:49,319
Speaker 1: the way, you know this one thing about Christa is

709
00:35:49,360 --> 00:35:52,720
Speaker 1: if you don't say the right me and I version,

710
00:35:52,920 --> 00:35:53,680
Speaker 1: she corrects you.

711
00:35:54,080 --> 00:35:55,959
Speaker 2: But there is no eye version, is what she said

712
00:35:55,960 --> 00:35:57,200
Speaker 2: to us originally.

713
00:35:56,760 --> 00:35:58,600
Speaker 1: No, there is. You just have to say. The trick

714
00:35:58,719 --> 00:36:01,040
Speaker 1: she taught me is you you take out the name,

715
00:36:01,200 --> 00:36:03,680
Speaker 1: so I would. I would say you have to join

716
00:36:03,920 --> 00:36:07,799
Speaker 1: me in watching Skydog Sanctuary Instagram. So then I add

717
00:36:07,800 --> 00:36:09,600
Speaker 1: my mom and I go, you have to join my

718
00:36:09,719 --> 00:36:13,000
Speaker 1: mom and me? Right, you wouldn't say you have to

719
00:36:13,080 --> 00:36:15,960
Speaker 1: join I. I think I got that right.

720
00:36:16,000 --> 00:36:17,080
Speaker 5: I don't want to get in trouble.

721
00:36:17,280 --> 00:36:19,480
Speaker 1: Chris has been lecturing me on that for twenty three years.

722
00:36:19,480 --> 00:36:20,440
Speaker 1: But I think I finally.

723
00:36:20,239 --> 00:36:23,640
Speaker 2: Got since I've known her, Yeah, every time.

724
00:36:23,440 --> 00:36:25,800
Speaker 1: Because every she is shameless. If you don't say the

725
00:36:25,880 --> 00:36:29,839
Speaker 1: right version, she corrects you and it's wrong. Since we're here,

726
00:36:29,880 --> 00:36:31,400
Speaker 1: I always say it wrong. But now we're for in

727
00:36:31,480 --> 00:36:33,480
Speaker 1: front of her friend Claire. We got to get it right.

728
00:36:34,160 --> 00:36:38,280
Speaker 1: Join my mom and me in watching Skydog Sanctuary videos.

729
00:36:38,480 --> 00:36:40,480
Speaker 1: The way you Claire is such a good story. Tell

730
00:36:40,480 --> 00:36:42,760
Speaker 1: her you know every single one of these horses names,

731
00:36:44,000 --> 00:36:47,760
Speaker 1: tell us about the foundation. And there was a viral

732
00:36:47,840 --> 00:36:51,279
Speaker 1: video that I recommend. There's a there's an account called

733
00:36:51,280 --> 00:36:54,600
Speaker 1: the Dodo, which I think focuses on on animal stories and.

734
00:36:55,120 --> 00:36:56,720
Speaker 2: You have a few. You have a few stories.

735
00:36:56,800 --> 00:36:59,360
Speaker 1: Yeah, the Dodo is a big fan of Claire. But

736
00:36:59,480 --> 00:37:02,000
Speaker 1: talk about I just watched it and tears came to

737
00:37:02,000 --> 00:37:05,440
Speaker 1: my eyes. This is kind of like a beautiful distillation

738
00:37:05,520 --> 00:37:09,440
Speaker 1: of what Claire does. And tell the story of the

739
00:37:09,760 --> 00:37:12,880
Speaker 1: of the mustang that was that you photographed, that was

740
00:37:12,920 --> 00:37:17,200
Speaker 1: photographed jumping out of one of these pens and trying

741
00:37:17,200 --> 00:37:21,080
Speaker 1: to escape, and then Claire was able to reunite him

742
00:37:21,120 --> 00:37:25,880
Speaker 1: with one of his man Please don't give it away, Okay,

743
00:37:25,920 --> 00:37:28,800
Speaker 1: sorry spoiler, but Claire tell the story, please, because this

744
00:37:28,800 --> 00:37:30,680
Speaker 1: this is the kind of thing that Claire does, and

745
00:37:30,760 --> 00:37:33,520
Speaker 1: it's detective work, and it's it's just amazing.

746
00:37:33,520 --> 00:37:36,080
Speaker 2: Please the fact that you were able to and also

747
00:37:36,360 --> 00:37:39,840
Speaker 2: last thing, the fact that you were able to put

748
00:37:39,880 --> 00:37:41,000
Speaker 2: two and two together.

749
00:37:41,640 --> 00:37:44,399
Speaker 3: Look, I look at horses. Them things all look alike.

750
00:37:44,480 --> 00:37:45,640
Speaker 3: I'm gonna keep it one hundred.

751
00:37:45,719 --> 00:37:47,319
Speaker 2: I love. I think they're beautiful.

752
00:37:48,440 --> 00:37:49,439
Speaker 1: They don't all look alike.

753
00:37:49,480 --> 00:37:51,920
Speaker 2: Donald, I mean, yeah, some are darker than others. But

754
00:37:52,040 --> 00:37:53,440
Speaker 2: like you put a white horse in front of me,

755
00:37:53,480 --> 00:37:55,680
Speaker 2: I'm gonna be like silver. You know what I mean.

756
00:37:56,640 --> 00:38:00,440
Speaker 1: All Right, Claire, Please tell the story of this beautiful mustang.

757
00:38:00,680 --> 00:38:04,000
Speaker 5: That was just such an extraordinary thing for us, because actually,

758
00:38:04,080 --> 00:38:07,400
Speaker 5: someone that does a lot of techie stuff sent to

759
00:38:07,440 --> 00:38:10,920
Speaker 5: me a screenshot of us trending at number seven on

760
00:38:11,080 --> 00:38:13,360
Speaker 5: YouTube or something like that that day, and I was

761
00:38:13,440 --> 00:38:15,960
Speaker 5: just mind blown because I think I'm living in this

762
00:38:16,000 --> 00:38:18,319
Speaker 5: little world of horse people. And then the fact that

763
00:38:18,360 --> 00:38:21,480
Speaker 5: it had gone so viral, and that was a horse

764
00:38:21,520 --> 00:38:25,480
Speaker 5: named Phoenix who it really just started with a photograph.

765
00:38:25,480 --> 00:38:27,759
Speaker 5: I follow some of the advocacy groups and I saw

766
00:38:27,800 --> 00:38:32,360
Speaker 5: this photograph of this distinctive horse jumping a seven foot

767
00:38:32,400 --> 00:38:35,600
Speaker 5: panel after he'd been chased by helicopter, pushed in and

768
00:38:35,680 --> 00:38:38,000
Speaker 5: his family was sort of looking up as he went

769
00:38:38,120 --> 00:38:41,239
Speaker 5: over the fence, and I just thought, because it was

770
00:38:41,239 --> 00:38:44,080
Speaker 5: my local corrals, which is like two hours away, I thought,

771
00:38:44,080 --> 00:38:45,520
Speaker 5: I'm just going to go there and see if that

772
00:38:45,560 --> 00:38:48,759
Speaker 5: horse survived, you know, is he there? And there he

773
00:38:49,040 --> 00:38:52,640
Speaker 5: was with another horse that was in that video. It

774
00:38:52,680 --> 00:38:55,279
Speaker 5: was his kind of lieutenant in the band. And I

775
00:38:55,320 --> 00:38:59,319
Speaker 5: saw his mayor and then I inquired about him, and

776
00:38:59,480 --> 00:39:01,600
Speaker 5: they told me that he was going to be released

777
00:39:01,600 --> 00:39:04,400
Speaker 5: into the wild and he you know, because of his

778
00:39:04,560 --> 00:39:07,719
Speaker 5: genetics and stuff. Anyway, months and months went by, and

779
00:39:07,760 --> 00:39:09,399
Speaker 5: I used to go to the crowds and every time

780
00:39:09,440 --> 00:39:11,719
Speaker 5: I would see him and tell him he's going to

781
00:39:11,800 --> 00:39:14,879
Speaker 5: go out and be free again. And then one day, yeah,

782
00:39:14,920 --> 00:39:18,960
Speaker 5: they was lying, Yeah, it's a common thread. But anyway,

783
00:39:19,000 --> 00:39:20,960
Speaker 5: he was still there like a year later, and I

784
00:39:21,040 --> 00:39:23,719
Speaker 5: asked about him because his friend had now gone and

785
00:39:23,760 --> 00:39:26,760
Speaker 5: they'd sent his friend to Germany to a Mustang event

786
00:39:27,080 --> 00:39:30,120
Speaker 5: and he was now available for adoption. So I adopted

787
00:39:30,200 --> 00:39:32,239
Speaker 5: him because I was like, that horse wanted to be

788
00:39:32,360 --> 00:39:35,280
Speaker 5: free more than any horse I've seen, Like he jumped

789
00:39:35,320 --> 00:39:37,839
Speaker 5: like higher than any horse I've ever seen. So I

790
00:39:37,880 --> 00:39:40,040
Speaker 5: was like, let's give him back his freedom. But I

791
00:39:40,040 --> 00:39:42,919
Speaker 5: could never find his mayor. And it was I think

792
00:39:42,960 --> 00:39:44,960
Speaker 5: a year and a half later. I always look on

793
00:39:45,000 --> 00:39:48,400
Speaker 5: the internet adoptions and there she was. And I literally

794
00:39:48,440 --> 00:39:51,040
Speaker 5: was like wait, and I was looking at the pictures

795
00:39:51,080 --> 00:39:53,000
Speaker 5: of her and looking at her and looking at the pictures,

796
00:39:53,080 --> 00:39:55,960
Speaker 5: I was like, it's her. How long?

797
00:39:56,120 --> 00:39:58,320
Speaker 3: How long were you looking at? Like that's the question?

798
00:39:58,440 --> 00:40:01,640
Speaker 3: Like it was, it's definitely not split. You had to

799
00:40:01,640 --> 00:40:05,720
Speaker 3: freaking pay attention to things that you had to find again.

800
00:40:06,320 --> 00:40:09,120
Speaker 5: I was like, Okay, she has orange ears even though

801
00:40:09,120 --> 00:40:12,040
Speaker 5: she's white, and orange knees, and she has this mark

802
00:40:12,160 --> 00:40:14,879
Speaker 5: on her shoulder and her tail is like this. I mean,

803
00:40:14,880 --> 00:40:17,520
Speaker 5: it really was like zooming in all the pictures, going

804
00:40:18,000 --> 00:40:21,160
Speaker 5: I think that's her. And then when we brought her

805
00:40:21,239 --> 00:40:25,320
Speaker 5: home and reunited her with Phoenix, we called her ghost.

806
00:40:25,120 --> 00:40:27,440
Speaker 2: Ghosts yeahs because she was like a ghost.

807
00:40:27,600 --> 00:40:28,239
Speaker 1: Yeah.

808
00:40:28,400 --> 00:40:31,440
Speaker 3: Not only was she not only is she a white

809
00:40:32,520 --> 00:40:35,360
Speaker 3: horse with which reminds you of like a ghost with

810
00:40:35,440 --> 00:40:37,120
Speaker 3: a sheetoverer and everything like that.

811
00:40:37,120 --> 00:40:38,320
Speaker 2: She's literally a ghost.

812
00:40:38,480 --> 00:40:42,120
Speaker 3: After you adopted Phoenix, it's impossible to find ghosts.

813
00:40:42,400 --> 00:40:47,400
Speaker 2: Literally. I thought she was disappeared. Yeah, gone, yeah.

814
00:40:46,920 --> 00:40:49,600
Speaker 5: Because I looked for her at the corals and never

815
00:40:49,680 --> 00:40:52,239
Speaker 5: found her there, so I was like, where the heck

816
00:40:52,239 --> 00:40:54,560
Speaker 5: has she been, you know, suddenly to appear on the

817
00:40:54,640 --> 00:40:59,480
Speaker 5: internet adoption so long afterwards, and their reunion was really beautiful.

818
00:40:59,520 --> 00:41:02,359
Speaker 5: All of the families that we've reunited, it's been one

819
00:41:02,360 --> 00:41:05,280
Speaker 5: of our most popular things. Even though it's a small

820
00:41:05,360 --> 00:41:08,520
Speaker 5: fraction of what we do, it is something that has

821
00:41:08,719 --> 00:41:12,040
Speaker 5: touched people's hearts. They think really.

822
00:41:11,800 --> 00:41:14,759
Speaker 1: Deeply because this is something I didn't know, Claire until

823
00:41:14,800 --> 00:41:17,280
Speaker 1: I spoke to you, But these these are these families

824
00:41:17,280 --> 00:41:18,320
Speaker 1: stay together in the wild.

825
00:41:18,400 --> 00:41:19,520
Speaker 2: That's what I was about to say. I was going

826
00:41:19,520 --> 00:41:21,239
Speaker 2: to say, Can you talk about how to talk about that?

827
00:41:21,680 --> 00:41:25,560
Speaker 2: How horses are like the bond is forever?

828
00:41:26,160 --> 00:41:31,800
Speaker 1: Yeah, a male horse will have a group of mayors

829
00:41:31,960 --> 00:41:34,720
Speaker 1: and then their children and they continue to hang together

830
00:41:34,760 --> 00:41:35,640
Speaker 1: as a family, right.

831
00:41:36,160 --> 00:41:41,400
Speaker 5: Well, they actually the males kick out the young cults,

832
00:41:41,440 --> 00:41:43,759
Speaker 5: the boys at about two years old, because they don't

833
00:41:43,800 --> 00:41:46,440
Speaker 5: want them competing with them within their family, which kind

834
00:41:46,480 --> 00:41:50,160
Speaker 5: of it's good because it creates diversity. And then the

835
00:41:50,320 --> 00:41:54,719
Speaker 5: young phillies will be stolen by other young stallions. So

836
00:41:54,760 --> 00:41:56,799
Speaker 5: there's kind of a stallion in his mayor and they

837
00:41:56,880 --> 00:41:59,000
Speaker 5: might be having children, but then those children go out

838
00:41:59,000 --> 00:42:02,080
Speaker 5: and have their own family. But yeah, the bonds they

839
00:42:02,200 --> 00:42:05,080
Speaker 5: form out there and they have their own little societies,

840
00:42:05,280 --> 00:42:09,960
Speaker 5: and it's really we have we rescued one family. That's

841
00:42:10,040 --> 00:42:14,000
Speaker 5: four generations of like a grandmother, her daughter, her daughter,

842
00:42:14,120 --> 00:42:17,280
Speaker 5: her son, and they had stayed together. If a stallion

843
00:42:17,400 --> 00:42:20,640
Speaker 5: stole one, they would all go with him. And it's

844
00:42:20,680 --> 00:42:23,359
Speaker 5: just very cool to watch and be around them. They're

845
00:42:23,480 --> 00:42:30,200
Speaker 5: such deep, deeply thinking and profoundly sentient beings, you know.

846
00:42:30,239 --> 00:42:32,600
Speaker 5: And that's why the whole slaughter pipeline, I think is

847
00:42:32,800 --> 00:42:35,920
Speaker 5: really hard to watch because you know, they know, you know,

848
00:42:36,080 --> 00:42:38,440
Speaker 5: they know they're in a bad place. They've lost their freedom,

849
00:42:38,520 --> 00:42:42,319
Speaker 5: their family and now their lives, and it's it's just

850
00:42:42,360 --> 00:42:46,719
Speaker 5: a horrible it's a horrible underbelly that so. And I

851
00:42:46,840 --> 00:42:49,759
Speaker 5: really do appreciate you having me on because there are

852
00:42:49,960 --> 00:42:53,759
Speaker 5: so many you think everyone knows I know all.

853
00:42:54,120 --> 00:42:58,359
Speaker 1: I love animals, did I love animals? Horses? I had

854
00:42:58,400 --> 00:42:59,880
Speaker 1: no idea about this, And that's.

855
00:42:59,719 --> 00:43:02,319
Speaker 3: Why I had no idea that the dopamine levels and

856
00:43:02,360 --> 00:43:05,759
Speaker 3: horses was so high. Man Like, that's the we feel

857
00:43:05,840 --> 00:43:08,560
Speaker 3: love on such levels because of the dopamine that we

858
00:43:08,600 --> 00:43:10,480
Speaker 3: have in our body, right like that.

859
00:43:10,440 --> 00:43:11,040
Speaker 5: I love that.

860
00:43:11,520 --> 00:43:16,959
Speaker 3: And when you know, we don't ever look at other

861
00:43:17,040 --> 00:43:20,839
Speaker 3: animals as unique and as special as that's because they

862
00:43:20,840 --> 00:43:23,200
Speaker 3: don't have communication, or we don't look at them as

863
00:43:23,320 --> 00:43:25,839
Speaker 3: intelligent and stuff like that. But to hear that these

864
00:43:26,280 --> 00:43:30,839
Speaker 3: the bond is not it's a I don't know, man,

865
00:43:30,840 --> 00:43:34,000
Speaker 3: There's something special about staying together, you know what I mean.

866
00:43:34,080 --> 00:43:36,439
Speaker 2: We make movies about that shit. All of the best

867
00:43:36,480 --> 00:43:39,279
Speaker 2: movies in the world are how we stay together as

868
00:43:39,320 --> 00:43:42,319
Speaker 2: a family. Nothing could break the family apart. Yeah, And

869
00:43:42,360 --> 00:43:45,600
Speaker 2: to know that horses like this, it's really it's really,

870
00:43:45,640 --> 00:43:48,839
Speaker 2: it's really like mind blowing. It's also inspiring, Like, you know.

871
00:43:49,239 --> 00:43:54,319
Speaker 1: What Claire's creating is a really special sanctuary where all

872
00:43:54,360 --> 00:43:57,240
Speaker 1: these animals that have been separated in the most brutal

873
00:43:57,280 --> 00:44:00,200
Speaker 1: way can be brought together there.

874
00:44:00,600 --> 00:44:01,319
Speaker 2: Let's take a break.

875
00:44:01,400 --> 00:44:11,400
Speaker 1: We'll be right back after these fine words. And I

876
00:44:11,440 --> 00:44:14,799
Speaker 1: also want to segue into there's the animal reunification, the

877
00:44:14,800 --> 00:44:17,719
Speaker 1: family reunification thing, which is so beautiful. But also a

878
00:44:17,760 --> 00:44:19,600
Speaker 1: lot of the stories on your Instagram I noticed are

879
00:44:19,960 --> 00:44:23,360
Speaker 1: how you and your team are rehabilitating these injured horses

880
00:44:23,640 --> 00:44:26,200
Speaker 1: because obviously a lot of them come in really messed up,

881
00:44:27,680 --> 00:44:30,040
Speaker 1: and some of them are blind, some of them have cancer,

882
00:44:30,200 --> 00:44:34,359
Speaker 1: every every issue you can imagine a wild horse who's

883
00:44:34,360 --> 00:44:39,560
Speaker 1: been in captivity in poor conditions might have. So talk

884
00:44:39,600 --> 00:44:42,120
Speaker 1: about that, how you how you and the and the

885
00:44:42,239 --> 00:44:47,160
Speaker 1: vets decide how much you can do when when when

886
00:44:47,239 --> 00:44:50,680
Speaker 1: when when is an animal beyond your ability to help

887
00:44:50,680 --> 00:44:52,200
Speaker 1: it and needs to be put down? Can you talk

888
00:44:52,239 --> 00:44:52,800
Speaker 1: about that.

889
00:44:52,719 --> 00:44:56,160
Speaker 3: Well also, and also talk about how like the you know,

890
00:44:56,760 --> 00:44:59,680
Speaker 3: the illnesses and stuff like that, a normal rancher would

891
00:44:59,719 --> 00:45:02,239
Speaker 3: just put down that animal right away and not give

892
00:45:02,280 --> 00:45:03,840
Speaker 3: the animal a chance, and how.

893
00:45:05,360 --> 00:45:09,239
Speaker 5: Saving them yep, and I do appreciate it. Is one

894
00:45:09,320 --> 00:45:12,319
Speaker 5: thing we've worked really hard to establish a relationship with

895
00:45:12,360 --> 00:45:15,600
Speaker 5: our local crows that round up these horses, because they

896
00:45:15,640 --> 00:45:19,520
Speaker 5: do shoot a lot of horses for having small things

897
00:45:19,520 --> 00:45:24,160
Speaker 5: which really aren't death sentence. And we have really appreciated

898
00:45:24,200 --> 00:45:26,520
Speaker 5: the fact that they've now let us come and take

899
00:45:26,560 --> 00:45:31,120
Speaker 5: special needs horses or seniors that might be euthanized. And

900
00:45:32,080 --> 00:45:34,640
Speaker 5: we've just had such success with that, and I think

901
00:45:34,680 --> 00:45:39,160
Speaker 5: it's really informed a lot of people because often euthanasia

902
00:45:39,440 --> 00:45:42,560
Speaker 5: is the first place that let's go to or people

903
00:45:42,640 --> 00:45:45,160
Speaker 5: go to and thinking that this horse has this or that,

904
00:45:45,400 --> 00:45:48,680
Speaker 5: and a lot of the rehabs we've done have been

905
00:45:48,840 --> 00:45:52,960
Speaker 5: kind of groundbreaking in showing other people. We took on

906
00:45:53,000 --> 00:45:56,120
Speaker 5: this donkey Waldo and his hooves which are kind of

907
00:45:56,120 --> 00:45:58,760
Speaker 5: supposed to like that they had grown all the way around,

908
00:45:58,840 --> 00:46:01,560
Speaker 5: so he was kind of walking on his knuckles. And

909
00:46:01,960 --> 00:46:04,320
Speaker 5: even when the vet's first one, they were like, Claire,

910
00:46:04,640 --> 00:46:07,799
Speaker 5: I mean, this is you know, this is not what

911
00:46:07,840 --> 00:46:10,680
Speaker 5: we expected. But we did a lot of research and

912
00:46:10,719 --> 00:46:13,520
Speaker 5: we showed it to them. To be to be fair

913
00:46:13,560 --> 00:46:15,600
Speaker 5: to that vet, he called a lot of people that

914
00:46:15,640 --> 00:46:18,799
Speaker 5: were experts. They did these like two surgeries on his

915
00:46:18,960 --> 00:46:21,320
Speaker 5: legs and got his feet and now he runs around.

916
00:46:21,360 --> 00:46:25,920
Speaker 5: This donkey Waldo is so popular and it's he has

917
00:46:26,000 --> 00:46:28,080
Speaker 5: now used that as a sort of test study and

918
00:46:28,120 --> 00:46:30,360
Speaker 5: a case and it written a paper on it for

919
00:46:30,520 --> 00:46:33,000
Speaker 5: other people to do the same on horses or donkeys

920
00:46:33,040 --> 00:46:35,319
Speaker 5: that have the same issue. So those things are really

921
00:46:35,360 --> 00:46:39,280
Speaker 5: meaningful to us because it's meant that we've actually done things,

922
00:46:39,400 --> 00:46:42,759
Speaker 5: and they can be costly and it takes a lot

923
00:46:42,760 --> 00:46:45,279
Speaker 5: of rehabbing, a lot of kind of personal care from

924
00:46:45,320 --> 00:46:47,960
Speaker 5: the staff getting them back to normal, but then to

925
00:46:47,960 --> 00:46:51,560
Speaker 5: see them live, these wonderful lives and blind horses, you know,

926
00:46:52,239 --> 00:46:54,640
Speaker 5: be able to get around. And we've sometimes had a

927
00:46:54,680 --> 00:46:57,480
Speaker 5: pen of blind horses all start running and they're running

928
00:46:57,520 --> 00:46:59,759
Speaker 5: in between the trees, and you think, how is that

929
00:46:59,800 --> 00:47:02,319
Speaker 5: possible that they you know, but they learn it in

930
00:47:02,360 --> 00:47:04,960
Speaker 5: their mind. They mental map the whole thing, and they

931
00:47:04,960 --> 00:47:05,960
Speaker 5: know where their water is.

932
00:47:06,000 --> 00:47:08,279
Speaker 1: And they saw that video. I got tears in my eyes.

933
00:47:08,360 --> 00:47:10,120
Speaker 1: You guys got to look for that video on her

934
00:47:10,160 --> 00:47:13,600
Speaker 1: Instagram and it's a pen of a large pen of

935
00:47:13,680 --> 00:47:18,240
Speaker 1: blind horses and they're all together and they're they're running

936
00:47:18,320 --> 00:47:21,359
Speaker 1: so fast and Claire is narrating. She goes, you'd think

937
00:47:21,400 --> 00:47:24,560
Speaker 1: that they would be in danger, but they have literally

938
00:47:24,640 --> 00:47:28,239
Speaker 1: memorized every tree, everything that they could run into. It's

939
00:47:28,280 --> 00:47:29,040
Speaker 1: so beautiful.

940
00:47:29,480 --> 00:47:32,120
Speaker 5: Yeah, it was very cool. So we do a lot

941
00:47:32,160 --> 00:47:35,000
Speaker 5: of that. But also, you know, I think it's also

942
00:47:35,280 --> 00:47:37,759
Speaker 5: with what Donald was saying about the families and the

943
00:47:37,760 --> 00:47:41,360
Speaker 5: bonds they have, that was such an inconvenient truth for

944
00:47:41,400 --> 00:47:45,319
Speaker 5: the BLM, because they want to portray these animals as livestock.

945
00:47:45,680 --> 00:47:48,359
Speaker 5: They have a tag number. They are only useful as

946
00:47:48,360 --> 00:47:51,799
Speaker 5: a tool to be used by people and to then

947
00:47:52,040 --> 00:47:57,640
Speaker 5: rewrite that story and show through, you know, amazing evidence

948
00:47:57,640 --> 00:48:00,400
Speaker 5: that these animals do have these bonds and family malise

949
00:48:00,480 --> 00:48:04,680
Speaker 5: and love for each other. That's palpable and easy to see.

950
00:48:04,719 --> 00:48:07,960
Speaker 5: It's been a very thing that the BLM really fought against.

951
00:48:07,960 --> 00:48:09,480
Speaker 5: But now they've kind of put off their hands and

952
00:48:09,520 --> 00:48:11,920
Speaker 5: go find that they have families, you know, and then

953
00:48:12,040 --> 00:48:15,400
Speaker 5: other sanctuaries and other rescues have reunited families, which is

954
00:48:15,440 --> 00:48:18,319
Speaker 5: the coolest thing because I think, you know, then we

955
00:48:18,360 --> 00:48:21,879
Speaker 5: can recognize these animals as you know, who are we

956
00:48:22,160 --> 00:48:24,359
Speaker 5: as men to say we're the only ones that love

957
00:48:24,440 --> 00:48:27,200
Speaker 5: our children or we're the only ones that have deep bonds.

958
00:48:27,280 --> 00:48:31,000
Speaker 5: And so it's it's cool that's been I've been really

959
00:48:31,040 --> 00:48:31,560
Speaker 5: proud of that.

960
00:48:31,840 --> 00:48:34,000
Speaker 1: And it's very spooky because all of these horses have

961
00:48:35,000 --> 00:48:37,120
Speaker 1: I mean, it's it's it's it's it's analogous to the

962
00:48:37,120 --> 00:48:41,200
Speaker 1: Holocaust with the numbers on on on people's wrists that

963
00:48:41,320 --> 00:48:43,160
Speaker 1: all of these horses when you watch the videos have

964
00:48:43,320 --> 00:48:50,360
Speaker 1: government what the brands brand government brands And Claire was

965
00:48:50,360 --> 00:48:52,279
Speaker 1: trying to explain to me when their hair grows out,

966
00:48:52,320 --> 00:48:53,919
Speaker 1: you can't really read the brand, but she was saying,

967
00:48:53,920 --> 00:48:56,000
Speaker 1: and they're kind of tricky to read anyway, what is that?

968
00:48:56,160 --> 00:48:59,399
Speaker 1: It denotes where they were captured, right, and yeah it don't.

969
00:48:59,480 --> 00:49:02,040
Speaker 5: It says you asked that the property of the US government,

970
00:49:02,080 --> 00:49:05,000
Speaker 5: and then it gives them the year that they estimate

971
00:49:05,040 --> 00:49:08,080
Speaker 5: they were born, and then where they were rounded up

972
00:49:08,160 --> 00:49:09,960
Speaker 5: and attack number to identify them.

973
00:49:10,280 --> 00:49:13,160
Speaker 2: Branded this or this is shaved into this branded.

974
00:49:13,360 --> 00:49:15,560
Speaker 1: Yeah, it's branded. But when you watch the videos you'll

975
00:49:15,600 --> 00:49:17,719
Speaker 1: see that because their hairs grow around a bit, it's

976
00:49:17,719 --> 00:49:19,680
Speaker 1: a little hard to even decipher.

977
00:49:19,719 --> 00:49:21,160
Speaker 2: You ever been branded?

978
00:49:21,280 --> 00:49:22,480
Speaker 1: No, personally, No, I have not.

979
00:49:22,760 --> 00:49:25,760
Speaker 3: They do it in college fraternities. Sometimes that shit gets infected.

980
00:49:25,760 --> 00:49:27,560
Speaker 2: Man. That shit does not look good. Man. I know

981
00:49:27,600 --> 00:49:29,799
Speaker 2: a couple of people that have been branded. They got

982
00:49:29,800 --> 00:49:32,960
Speaker 2: that horseshoe on their arm. That ship don't look good. Bro,

983
00:49:33,120 --> 00:49:34,359
Speaker 2: that shit hurts too well.

984
00:49:34,360 --> 00:49:36,799
Speaker 1: I think we should do I was a real friend,

985
00:49:37,040 --> 00:49:40,240
Speaker 1: I would be like I was infected for weeks. Donald,

986
00:49:40,320 --> 00:49:43,920
Speaker 1: would would you be open to a fake doctor's real friends? Brand?

987
00:49:44,600 --> 00:49:45,720
Speaker 2: In opposite world?

988
00:49:45,840 --> 00:49:49,960
Speaker 1: Danel you. I think I'm good, but I appreciate it.

989
00:49:50,000 --> 00:49:51,040
Speaker 1: I'll be there to supervised.

990
00:49:51,080 --> 00:49:52,719
Speaker 3: I can hold somebody want to pay me that you

991
00:49:52,760 --> 00:49:54,319
Speaker 3: want to pay me that money, I'll get that ship.

992
00:49:54,360 --> 00:49:55,719
Speaker 1: So I'm not going to pay you for a fake

993
00:49:55,760 --> 00:49:58,560
Speaker 1: doctor's real friends. Was it was a volunteer project.

994
00:49:58,600 --> 00:49:59,160
Speaker 2: No, no, no.

995
00:49:59,200 --> 00:50:01,200
Speaker 6: As a representative my heart, I'm gonna say we do

996
00:50:01,280 --> 00:50:02,160
Speaker 6: not condone Brandon.

997
00:50:02,360 --> 00:50:02,560
Speaker 2: Yeah.

998
00:50:02,600 --> 00:50:03,000
Speaker 1: No.

999
00:50:03,680 --> 00:50:08,280
Speaker 5: On that show Yellowstone, they brand the life as people

1000
00:50:08,280 --> 00:50:10,120
Speaker 5: that are going to stay there for life. They give

1001
00:50:10,120 --> 00:50:15,040
Speaker 5: them the why on their chest, and well, I love it.

1002
00:50:15,080 --> 00:50:17,440
Speaker 1: I think you can imagine that Claire might like Yellowstone

1003
00:50:17,440 --> 00:50:19,480
Speaker 1: as she's dedicated her life to ranching.

1004
00:50:20,080 --> 00:50:23,120
Speaker 5: Yeah, I want to be Beth Bears, Beth Beth Bears,

1005
00:50:23,400 --> 00:50:25,799
Speaker 5: Beth Dutton. I don't think Beth Beth Bears is the

1006
00:50:25,840 --> 00:50:28,719
Speaker 5: sweetest woman in the world and very supportive of our

1007
00:50:28,760 --> 00:50:32,239
Speaker 5: calls and sponsors a horse. Beth Dutton on Yellowstone is

1008
00:50:32,320 --> 00:50:34,560
Speaker 5: a very she's She's a character.

1009
00:50:34,880 --> 00:50:36,240
Speaker 2: I've never watched the show.

1010
00:50:36,719 --> 00:50:39,400
Speaker 1: But Donald doesn't. But Donald doesn't watch most things that

1011
00:50:39,520 --> 00:50:41,560
Speaker 1: don't have Star Wars, Marvel.

1012
00:50:41,360 --> 00:50:43,840
Speaker 2: Well he Harrison Wards and yellow Stone.

1013
00:50:44,080 --> 00:50:46,120
Speaker 1: That's so that's a prequel. You might want to watch

1014
00:50:46,120 --> 00:50:48,680
Speaker 1: that prequal Yeah, you can pretend it's Hen Solo.

1015
00:50:49,440 --> 00:50:52,040
Speaker 3: I could pretend to Town Solo or Indiana Jones. Yes,

1016
00:50:52,400 --> 00:50:56,920
Speaker 3: I'd prefer not to. I would prefer to pretend that

1017
00:50:57,000 --> 00:50:58,320
Speaker 3: there are some black ranchers.

1018
00:50:59,400 --> 00:51:03,160
Speaker 2: There are yellow Ye who plays them? Who they get

1019
00:51:03,200 --> 00:51:04,080
Speaker 2: to play the black manches?

1020
00:51:04,280 --> 00:51:07,799
Speaker 5: Donald Richards doesn't then and Richards is he.

1021
00:51:09,280 --> 00:51:11,319
Speaker 1: Well, will you please google? I never thought, I asked,

1022
00:51:14,640 --> 00:51:17,400
Speaker 1: when you play Google the black actors who play the ranchers.

1023
00:51:17,440 --> 00:51:19,480
Speaker 1: Donald wants to be mad at them forgetting a role

1024
00:51:19,560 --> 00:51:20,640
Speaker 1: he could have gotten.

1025
00:51:20,400 --> 00:51:23,040
Speaker 2: That I could have gotten with Harrison Flord on Yellowstone.

1026
00:51:23,239 --> 00:51:25,600
Speaker 1: Oh my gosh, Claire, tell us a little bit about

1027
00:51:25,800 --> 00:51:28,640
Speaker 1: as Joel looks that up the charity aspects. I was

1028
00:51:28,640 --> 00:51:31,960
Speaker 1: explaining the audience that you do fundraise for individual causes

1029
00:51:31,960 --> 00:51:35,239
Speaker 1: for surgeries and stuff and and and but but but

1030
00:51:35,400 --> 00:51:38,839
Speaker 1: you and your husband pay for the majority of this.

1031
00:51:38,880 --> 00:51:43,080
Speaker 1: As I understand, you've you've built this nine thousand acre sanctuary, right,

1032
00:51:43,120 --> 00:51:45,759
Speaker 1: tell talk a little bit about how people can give

1033
00:51:46,280 --> 00:51:48,200
Speaker 1: and and and what they're actually giving. Four.

1034
00:51:49,760 --> 00:51:51,920
Speaker 5: Yeah, I mean it all came about I had a

1035
00:51:51,960 --> 00:51:57,080
Speaker 5: sort of epiphany at age fifty. I sort of looked

1036
00:51:57,120 --> 00:52:00,440
Speaker 5: around and looked at my life, and I'd spent that

1037
00:52:00,440 --> 00:52:05,080
Speaker 5: that part of my life believing in the things that

1038
00:52:05,120 --> 00:52:07,640
Speaker 5: people tell you will make you happy. You know, if

1039
00:52:07,680 --> 00:52:09,799
Speaker 5: you get to this weight, or you have this car,

1040
00:52:09,880 --> 00:52:11,960
Speaker 5: or you live in this place, or you have that boyfriend,

1041
00:52:12,040 --> 00:52:18,040
Speaker 5: and having had all those things, realizing that it wasn't

1042
00:52:18,160 --> 00:52:21,799
Speaker 5: as a happiness that was sustainable it, you know, it

1043
00:52:21,840 --> 00:52:24,040
Speaker 5: was very fleeting, and then you want another thing or

1044
00:52:24,080 --> 00:52:28,080
Speaker 5: another person or another place, and just kind of realizing that,

1045
00:52:28,520 --> 00:52:31,840
Speaker 5: you know, and also I'm in recovery, so getting back

1046
00:52:31,880 --> 00:52:35,120
Speaker 5: into sobriety and realizing that I really truly wanted to

1047
00:52:35,120 --> 00:52:39,880
Speaker 5: be of service and horses had been my deepest love

1048
00:52:40,000 --> 00:52:43,560
Speaker 5: and passion, you know, in my childhood and throughout my life.

1049
00:52:43,600 --> 00:52:45,960
Speaker 5: They'd kind of come back in and I just thought,

1050
00:52:46,000 --> 00:52:48,520
Speaker 5: you know, if I can take that passion I have

1051
00:52:49,239 --> 00:52:52,920
Speaker 5: and turn it into a life worth living, Like a

1052
00:52:52,960 --> 00:52:55,520
Speaker 5: purpose driven life is a book I read at the time,

1053
00:52:55,560 --> 00:52:58,239
Speaker 5: and I was like, that's really the key to happiness

1054
00:52:58,239 --> 00:53:01,560
Speaker 5: for human beings, being of service, having a purpose. So

1055
00:53:01,680 --> 00:53:04,160
Speaker 5: it really just shifted. I was like, Okay, how do

1056
00:53:04,239 --> 00:53:06,560
Speaker 5: I do this? And I had some horses at the time,

1057
00:53:06,640 --> 00:53:09,560
Speaker 5: but I thought there are so many need and so

1058
00:53:09,680 --> 00:53:14,160
Speaker 5: many wild horses that I'm reading about the plight to

1059
00:53:14,239 --> 00:53:16,640
Speaker 5: wild horses and how many were in the slaughter pipeline.

1060
00:53:16,960 --> 00:53:18,719
Speaker 5: I just kind of went to my husband and went,

1061
00:53:18,800 --> 00:53:24,600
Speaker 5: We're going to need a bigger ranch, and the famous ruds,

1062
00:53:25,120 --> 00:53:26,479
Speaker 5: we're going to need a bigger ranch.

1063
00:53:26,600 --> 00:53:29,120
Speaker 1: This is nine thousand acres. That's not a small ranch.

1064
00:53:29,520 --> 00:53:32,000
Speaker 5: And if I have understood what nine thousand acres look like,

1065
00:53:32,080 --> 00:53:33,560
Speaker 5: I might have had some paws.

1066
00:53:33,640 --> 00:53:35,520
Speaker 2: But I was about to say, like you have to

1067
00:53:35,840 --> 00:53:39,040
Speaker 2: did you have to tear down tree? Like there's you did?

1068
00:53:39,280 --> 00:53:42,000
Speaker 3: Like I don't know what a nine thousand acre ranch

1069
00:53:42,200 --> 00:53:45,120
Speaker 3: would look like either, but that's.

1070
00:53:44,920 --> 00:53:47,160
Speaker 2: A lot of maintenance. I do. I do know that.

1071
00:53:47,239 --> 00:53:50,279
Speaker 2: And then you have like two landscaping right, just got

1072
00:53:50,320 --> 00:53:52,799
Speaker 2: to be outrageous. And then you have all of the

1073
00:53:52,880 --> 00:53:55,800
Speaker 2: horse a tack and field that you have to purchase

1074
00:53:55,800 --> 00:53:58,000
Speaker 2: and stuff like that, like hey.

1075
00:53:58,200 --> 00:54:00,960
Speaker 1: And now, and all of them, the special needs horses,

1076
00:54:01,040 --> 00:54:03,600
Speaker 1: a lot of them they need, they need incredible amount

1077
00:54:03,680 --> 00:54:05,320
Speaker 1: of vet help.

1078
00:54:05,520 --> 00:54:07,080
Speaker 3: Like you could be I don't care if you're rich.

1079
00:54:07,120 --> 00:54:09,640
Speaker 3: You gotta have some type of support coming in. You

1080
00:54:09,680 --> 00:54:12,880
Speaker 3: can't sustain this type of lifestyle like this is like

1081
00:54:12,960 --> 00:54:16,839
Speaker 3: buying kids times you know you need.

1082
00:54:17,160 --> 00:54:19,200
Speaker 2: Shoot, I don't know any horses you got. It's a

1083
00:54:19,239 --> 00:54:21,160
Speaker 2: lot of money. Though. It was my point. Let's take

1084
00:54:21,200 --> 00:54:21,520
Speaker 2: a break.

1085
00:54:21,640 --> 00:54:31,600
Speaker 1: We'll be right back after these fine words. How many

1086
00:54:31,640 --> 00:54:32,600
Speaker 1: do you have on the property.

1087
00:54:32,760 --> 00:54:36,080
Speaker 5: We have three hundred equines. Two hundred and thirty of

1088
00:54:36,080 --> 00:54:39,240
Speaker 5: them are horses wild horses, and the rest are mules

1089
00:54:39,520 --> 00:54:43,920
Speaker 5: or donkeys BLM donkeys. And we have two z brands

1090
00:54:43,960 --> 00:54:46,719
Speaker 5: as well, two babys and some zonkeys, which has a

1091
00:54:46,760 --> 00:54:48,640
Speaker 5: cross between a zebraander donkey.

1092
00:54:48,960 --> 00:54:51,200
Speaker 1: I love a sonkey, I love a zonkee.

1093
00:54:51,719 --> 00:54:52,200
Speaker 2: So yeah.

1094
00:54:52,200 --> 00:54:55,520
Speaker 5: My husband was amazing in helping me set up the

1095
00:54:55,560 --> 00:54:57,279
Speaker 5: whole thing, and I said to him, if you help

1096
00:54:57,360 --> 00:55:00,960
Speaker 5: me set this up, I promise after year three I

1097
00:55:00,960 --> 00:55:04,359
Speaker 5: will be fully self supporting through my own contributions, which

1098
00:55:04,400 --> 00:55:06,920
Speaker 5: is a thing that we say in AA And I

1099
00:55:07,000 --> 00:55:09,239
Speaker 5: kind of got there in eighteen months because I just

1100
00:55:10,000 --> 00:55:11,799
Speaker 5: I'm one of these people that when I put my

1101
00:55:11,960 --> 00:55:15,040
Speaker 5: heart and soul and energy into something, I want to

1102
00:55:15,080 --> 00:55:18,000
Speaker 5: be the best that I can be. And it just

1103
00:55:18,080 --> 00:55:23,520
Speaker 5: kept growing, and especially actually during the pandemic, I realized

1104
00:55:23,520 --> 00:55:27,080
Speaker 5: that our social media was really becoming this place where

1105
00:55:27,080 --> 00:55:30,239
Speaker 5: people were coming to watch these videos of these horses

1106
00:55:30,400 --> 00:55:33,479
Speaker 5: who ironically were being released to being wild and free

1107
00:55:33,520 --> 00:55:36,240
Speaker 5: when we were all trapped in our houses and living

1108
00:55:36,280 --> 00:55:38,480
Speaker 5: in fear and we didn't want to watch the news.

1109
00:55:38,840 --> 00:55:41,040
Speaker 5: So people were saying you know, I was getting these

1110
00:55:41,040 --> 00:55:43,440
Speaker 5: emails from people saying, you know, we watch I watched

1111
00:55:43,440 --> 00:55:45,440
Speaker 5: this with the kids in my class in the morning,

1112
00:55:45,480 --> 00:55:49,239
Speaker 5: you know, school teachers or in nursing homes, and we

1113
00:55:49,280 --> 00:55:51,680
Speaker 5: watch your video in the morning. We talk about the horses,

1114
00:55:51,760 --> 00:55:54,280
Speaker 5: and it is just sometimes we watch it ten times

1115
00:55:54,360 --> 00:55:56,560
Speaker 5: on a loop to be in nature and to be

1116
00:55:56,640 --> 00:56:00,720
Speaker 5: around these horses, and we cry and we laugh with joy.

1117
00:56:00,920 --> 00:56:03,920
Speaker 5: And I sundly realized, Wow, this is something the people

1118
00:56:03,920 --> 00:56:06,360
Speaker 5: that are on the journey with us there. It's a

1119
00:56:06,400 --> 00:56:08,360
Speaker 5: way that they can emote, you know, kind of like

1120
00:56:08,400 --> 00:56:10,960
Speaker 5: a good movie. You know, you want to feel all

1121
00:56:11,000 --> 00:56:13,680
Speaker 5: those things. And I think they get so attached to

1122
00:56:13,719 --> 00:56:16,200
Speaker 5: the horses, and when we lose one, for example, they'll

1123
00:56:16,239 --> 00:56:18,880
Speaker 5: still cry about it, you know. If I mention the

1124
00:56:18,960 --> 00:56:22,080
Speaker 5: name and it's it's been a beautiful journey for that.

1125
00:56:22,120 --> 00:56:25,319
Speaker 5: And I sundly realized I had a responsibility, not just

1126
00:56:25,480 --> 00:56:27,840
Speaker 5: I wasn't just helping horses. We were kind of helping

1127
00:56:27,880 --> 00:56:30,759
Speaker 5: people get through and me myself, it was like good

1128
00:56:30,760 --> 00:56:33,759
Speaker 5: for my mental health. So the videos got longer and

1129
00:56:33,800 --> 00:56:36,360
Speaker 5: the stories got longer, and it just sort of became

1130
00:56:36,560 --> 00:56:40,440
Speaker 5: more of a thing and grew beyond my wilder streets.

1131
00:56:41,120 --> 00:56:44,120
Speaker 1: And so when you fundraise on the Instagram or or

1132
00:56:44,120 --> 00:56:47,800
Speaker 1: your other channels, often is it for a specific horse

1133
00:56:47,920 --> 00:56:51,080
Speaker 1: like this horse needs this surgery if you want to contribute,

1134
00:56:51,080 --> 00:56:52,360
Speaker 1: is that the idea.

1135
00:56:52,400 --> 00:56:55,040
Speaker 5: Often we only have a fundraise when a horse is

1136
00:56:55,040 --> 00:56:59,080
Speaker 5: coming to us, and we are so incredibly well supported.

1137
00:56:59,160 --> 00:57:04,360
Speaker 5: I mean, I'm so thankful that people it's really their

1138
00:57:04,400 --> 00:57:06,640
Speaker 5: way of showing their love for the horses you know,

1139
00:57:06,680 --> 00:57:09,040
Speaker 5: that inspire them and that they love and care for

1140
00:57:09,239 --> 00:57:12,279
Speaker 5: and they our supporters have been incredible. So we tend

1141
00:57:12,280 --> 00:57:14,600
Speaker 5: to fund raised one a horse comes. We rarely have to.

1142
00:57:14,960 --> 00:57:19,760
Speaker 5: We have a vet fund where we have a platform

1143
00:57:19,800 --> 00:57:23,040
Speaker 5: called Patreon. Patreon where people go on and you can

1144
00:57:23,080 --> 00:57:25,760
Speaker 5: be on different tiers, and that's where a lot of

1145
00:57:25,800 --> 00:57:28,600
Speaker 5: our funds come for for our vet fund, our hay fund,

1146
00:57:28,760 --> 00:57:32,600
Speaker 5: fencing fund. So that's just things that are generally going on.

1147
00:57:32,720 --> 00:57:35,160
Speaker 5: But yeah, our vet Belts are massive, you know, because

1148
00:57:35,200 --> 00:57:36,400
Speaker 5: we take a lot of horses.

1149
00:57:36,760 --> 00:57:40,680
Speaker 2: You can horses be adopted from you guys.

1150
00:57:42,040 --> 00:57:45,800
Speaker 5: We have tried very hard to focus on the horses

1151
00:57:45,800 --> 00:57:49,360
Speaker 5: that we take, being ambassadors for the amount of horses

1152
00:57:49,400 --> 00:57:52,480
Speaker 5: that are in need, so people will because of us.

1153
00:57:53,120 --> 00:57:55,440
Speaker 5: You know, I've helped so many people pull horses out

1154
00:57:55,440 --> 00:57:58,680
Speaker 5: of the slaughter pipeline for them to rescue or from

1155
00:57:58,720 --> 00:58:01,600
Speaker 5: the BLM coals. I'll help them go there and do

1156
00:58:01,680 --> 00:58:04,280
Speaker 5: their paperwork and you know, tell them what they need

1157
00:58:04,320 --> 00:58:08,520
Speaker 5: to do. So we haven't adopted out up until. Like,

1158
00:58:08,600 --> 00:58:11,160
Speaker 5: what we've done a lot is work with other rescues

1159
00:58:11,160 --> 00:58:13,520
Speaker 5: that do have adoption arms that are great, and we've

1160
00:58:13,520 --> 00:58:16,240
Speaker 5: helped them save ten or twenty horses out of the

1161
00:58:16,240 --> 00:58:18,040
Speaker 5: source of pipe and I think we've rescued about two

1162
00:58:18,120 --> 00:58:21,919
Speaker 5: hundred and fifty additional horses that then got adopted out

1163
00:58:21,960 --> 00:58:25,960
Speaker 5: through other rescues. It's just I think I'm not a

1164
00:58:26,040 --> 00:58:26,800
Speaker 5: very good foster.

1165
00:58:27,240 --> 00:58:32,120
Speaker 2: I'm not you know, film you feel all the time.

1166
00:58:32,200 --> 00:58:35,720
Speaker 1: What's amazing about Claire is that she knows every single

1167
00:58:35,960 --> 00:58:39,240
Speaker 1: one of these horses names by sight. And she told

1168
00:58:39,240 --> 00:58:41,760
Speaker 1: me that sometimes she'll get it wrong and on the

1169
00:58:41,760 --> 00:58:45,480
Speaker 1: Instagram videos and people will start correcting her. That's not Snow,

1170
00:58:45,840 --> 00:58:46,960
Speaker 1: that's that's Cedar.

1171
00:58:47,480 --> 00:58:51,800
Speaker 5: Yes, totally, and it's extraordinary because I'm like, that's a sorrel,

1172
00:58:51,880 --> 00:58:53,960
Speaker 5: which is a red horse like in the distance with

1173
00:58:54,000 --> 00:58:56,880
Speaker 5: a blaze how on. But I think they take it

1174
00:58:57,000 --> 00:58:59,520
Speaker 5: very seriously, and they're like, you know, that's not Jalapino.

1175
00:58:59,640 --> 00:59:04,120
Speaker 5: That's so he's like here has one white sock on

1176
00:59:04,240 --> 00:59:06,640
Speaker 5: his back left, and I'm going, what.

1177
00:59:08,600 --> 00:59:10,840
Speaker 1: But it is amazing that you know that you can

1178
00:59:10,960 --> 00:59:12,720
Speaker 1: that you know the names of all those horses.

1179
00:59:13,400 --> 00:59:16,040
Speaker 5: Yeah, I can't remember the names of any people. But yeah,

1180
00:59:16,240 --> 00:59:18,200
Speaker 5: Wh'll say, I don't know why. I guess because of

1181
00:59:18,560 --> 00:59:20,360
Speaker 5: all of the stuff we go through at the beginning

1182
00:59:20,400 --> 00:59:22,760
Speaker 5: when we take them in, you know, and I named

1183
00:59:22,840 --> 00:59:24,960
Speaker 5: most of them, which is really fun.

1184
00:59:25,200 --> 00:59:27,680
Speaker 2: I can bond with them when they come in too.

1185
00:59:28,680 --> 00:59:33,080
Speaker 3: When you brought when you brought Phoenix home, just you

1186
00:59:33,080 --> 00:59:36,560
Speaker 3: know how scared Phoenix was and how you coaxed them

1187
00:59:36,560 --> 00:59:37,440
Speaker 3: into come on in.

1188
00:59:37,600 --> 00:59:39,400
Speaker 2: It's all right, don't worry. But it's all right, baby,

1189
00:59:39,400 --> 00:59:39,919
Speaker 2: it's all right.

1190
00:59:40,320 --> 00:59:43,400
Speaker 3: And finally this, you know, the horse is now healthy

1191
00:59:43,480 --> 00:59:46,480
Speaker 3: and and has grown, you know, the muscles are back

1192
00:59:46,520 --> 00:59:48,680
Speaker 3: on its back, you know. And that was then just

1193
00:59:48,760 --> 00:59:51,120
Speaker 3: in time for that beautify, just in time for Shorty

1194
00:59:51,160 --> 00:59:51,720
Speaker 3: to show up.

1195
00:59:51,640 --> 00:59:56,640
Speaker 1: Shorty to show up. Then Shorty named Ghost shows up

1196
00:59:56,720 --> 00:59:57,240
Speaker 1: and he's.

1197
00:59:57,080 --> 01:00:03,120
Speaker 2: Like, like, look at me, I've been working out, baby,

1198
01:00:03,600 --> 01:00:04,600
Speaker 2: Let's go for a walk.

1199
01:00:05,320 --> 01:00:10,040
Speaker 1: So sweet, Well, Claire tell anyone who's listening if they

1200
01:00:10,400 --> 01:00:12,200
Speaker 1: want to contribute or first of all, I'm telling you

1201
01:00:12,200 --> 01:00:16,440
Speaker 1: to go to sky Dog Sanctuary the Instagram account. You

1202
01:00:16,480 --> 01:00:19,720
Speaker 1: can also put that into YouTube. You'll see. That's where

1203
01:00:19,720 --> 01:00:23,440
Speaker 1: I saw the Dodo videos, which are very moving. But Claire,

1204
01:00:23,600 --> 01:00:25,440
Speaker 1: for those that are that want to contribute to the

1205
01:00:25,440 --> 01:00:27,640
Speaker 1: Patreon when you tell them where to go to do that.

1206
01:00:28,640 --> 01:00:33,040
Speaker 5: Yeah, So our Patreon is just patreon dot com stroke

1207
01:00:33,360 --> 01:00:37,120
Speaker 5: Skydog Sanctuary. We have a YouTube channel. We also have

1208
01:00:37,240 --> 01:00:40,920
Speaker 5: a website that actually is Skydog ranch dot org and

1209
01:00:41,000 --> 01:00:43,840
Speaker 5: you can donate through that. You can donate through any

1210
01:00:43,880 --> 01:00:46,840
Speaker 5: of our social media platforms, or join us on Patreon

1211
01:00:46,880 --> 01:00:49,680
Speaker 5: where you see a lot of behind the scenes videos

1212
01:00:49,920 --> 01:00:51,919
Speaker 5: and I show a lot on there, and I talk

1213
01:00:52,360 --> 01:00:57,320
Speaker 5: much more openly on Patreon to everyone, and I mean,

1214
01:00:57,360 --> 01:00:58,640
Speaker 5: they're keep their amazing.

1215
01:00:59,600 --> 01:01:03,160
Speaker 1: You went in for a second. I think you meant backslash.

1216
01:01:03,240 --> 01:01:05,560
Speaker 1: Is that what we say, guys, it would be it

1217
01:01:05,600 --> 01:01:09,360
Speaker 1: would be patreon dot com backslash Skydog.

1218
01:01:08,920 --> 01:01:11,320
Speaker 5: Sanctuary, I said, stroke, I did.

1219
01:01:11,480 --> 01:01:13,480
Speaker 1: That's very English of you. We don't say that here.

1220
01:01:13,720 --> 01:01:15,439
Speaker 2: We do say that here, but it means something else.

1221
01:01:16,760 --> 01:01:19,480
Speaker 1: Donald, Please be don't be inappropriate in front.

1222
01:01:19,320 --> 01:01:20,480
Speaker 2: Of I wasn't being inappropriate.

1223
01:01:20,520 --> 01:01:23,120
Speaker 1: We managed to get through the whole episode with stroking.

1224
01:01:22,800 --> 01:01:27,200
Speaker 2: Your ego without stroking your ego trying in front of

1225
01:01:28,120 --> 01:01:30,600
Speaker 2: I wasn't making different.

1226
01:01:31,040 --> 01:01:33,920
Speaker 5: I swear like a sailor, and I was laughing. I

1227
01:01:34,040 --> 01:01:37,040
Speaker 5: watched the last podcast you did, I Think, and you

1228
01:01:37,080 --> 01:01:39,959
Speaker 5: were talking about below Deck, and I was laughing because

1229
01:01:40,000 --> 01:01:44,240
Speaker 5: I think my entire management skills for managing my crew,

1230
01:01:44,240 --> 01:01:46,920
Speaker 5: because I have a chief stew who's my equal manager,

1231
01:01:46,960 --> 01:01:49,520
Speaker 5: and then the equine staff, and then the guys who

1232
01:01:49,560 --> 01:01:51,240
Speaker 5: are kind of the debt team. And I was like,

1233
01:01:51,400 --> 01:01:53,880
Speaker 5: I'm always telling them, you just have to watch Below Deck.

1234
01:01:53,920 --> 01:01:55,000
Speaker 5: You'll understand why.

1235
01:01:55,040 --> 01:01:56,480
Speaker 1: I don't know. I don't know if you want to

1236
01:01:56,600 --> 01:01:59,280
Speaker 1: educate your staff to go watch Below Deck because they

1237
01:01:59,320 --> 01:02:03,080
Speaker 1: all get they can hand up with each other encourage.

1238
01:02:03,360 --> 01:02:04,920
Speaker 5: Well, they're on a ranch in the middle of no

1239
01:02:05,360 --> 01:02:05,560
Speaker 5: I know.

1240
01:02:05,560 --> 01:02:07,600
Speaker 1: I'm sure they're all honking up with each other. Anyway.

1241
01:02:07,880 --> 01:02:12,360
Speaker 3: Do you think they're all on farmers dot com Farmers.

1242
01:02:11,200 --> 01:02:13,200
Speaker 1: That would be a good by the way, we should

1243
01:02:13,200 --> 01:02:19,880
Speaker 1: make a below Deck style reality show, but about Claire's staff, it.

1244
01:02:19,840 --> 01:02:23,160
Speaker 5: Would be I don't know, I'd.

1245
01:02:23,760 --> 01:02:27,959
Speaker 1: Sandy, Yeah, you would, you are Sandy. You're a badass woman,

1246
01:02:28,120 --> 01:02:28,840
Speaker 1: Captain Sandy.

1247
01:02:29,720 --> 01:02:32,240
Speaker 3: But you can literally like if you do work as

1248
01:02:32,480 --> 01:02:34,400
Speaker 3: a ranch and you could literally be like, I can

1249
01:02:34,440 --> 01:02:37,000
Speaker 3: go on farmers only dot com because I've always wondered,

1250
01:02:37,400 --> 01:02:40,760
Speaker 3: I've always wondered, what are the qualifications.

1251
01:02:40,840 --> 01:02:42,280
Speaker 2: I know it says farmers.

1252
01:02:41,920 --> 01:02:44,840
Speaker 1: Qualifications are you're down to get up at four in

1253
01:02:44,880 --> 01:02:46,600
Speaker 1: the morning and milk cows as a wife.

1254
01:02:47,200 --> 01:02:47,760
Speaker 2: That is it.

1255
01:02:47,960 --> 01:02:51,160
Speaker 1: Joella is not going to be on farmers only dot com.

1256
01:02:51,480 --> 01:02:53,720
Speaker 2: Be hooking up on farmers only dot com. I hear

1257
01:02:53,800 --> 01:02:54,960
Speaker 2: it's a good hookup place.

1258
01:02:55,320 --> 01:02:58,000
Speaker 1: You've heard through the gravevine in Los Angeles that farmers

1259
01:02:58,040 --> 01:03:00,040
Speaker 1: only it is a good hookups.

1260
01:02:59,520 --> 01:03:06,160
Speaker 5: But you know, if I ever lose my husband for

1261
01:03:06,240 --> 01:03:09,480
Speaker 5: other reason, for some reason, I would go there because

1262
01:03:09,480 --> 01:03:12,040
Speaker 5: they are going to have skills to they'll know what

1263
01:03:12,120 --> 01:03:12,360
Speaker 5: to do.

1264
01:03:12,520 --> 01:03:14,720
Speaker 1: But also clear will you will you please help me

1265
01:03:14,840 --> 01:03:18,400
Speaker 1: explain to Donald that it's about choosing the lifestyle of

1266
01:03:18,480 --> 01:03:21,800
Speaker 1: being in bumble fuck and getting up early and working.

1267
01:03:22,400 --> 01:03:23,720
Speaker 5: Yeah, it is a lifestyle.

1268
01:03:23,720 --> 01:03:27,520
Speaker 1: A typical female or male who's trying to meet someone

1269
01:03:27,520 --> 01:03:30,880
Speaker 1: on there who's not in that lifestyle Farmer's only. Yeah,

1270
01:03:31,280 --> 01:03:38,600
Speaker 1: we're also taught, Okay, let's say you're a nice Jewish gallon.

1271
01:03:38,680 --> 01:03:40,480
Speaker 3: No, let's say you're on j date and you're not Jewish.

1272
01:03:40,520 --> 01:03:42,120
Speaker 3: Get the fuck off, right, that's what you're saying.

1273
01:03:42,320 --> 01:03:44,080
Speaker 1: No, I didn't say that. I think you're allowed to

1274
01:03:44,080 --> 01:03:46,080
Speaker 1: not be Jewish on JD. I don't know the rules, Daniel.

1275
01:03:46,080 --> 01:03:49,000
Speaker 2: Good. But Farmers only strictly for farmers can you.

1276
01:03:48,960 --> 01:03:51,040
Speaker 1: Be non Jewish on JAD eight? Or do they check

1277
01:03:51,080 --> 01:03:58,640
Speaker 1: your foreskin? Can you donald Farmers only? You wouldn't want

1278
01:03:58,640 --> 01:04:00,960
Speaker 1: to match with someone and be like, Hey, I really

1279
01:04:01,040 --> 01:04:03,400
Speaker 1: am crazy about you. But the whole milking cows in

1280
01:04:03,440 --> 01:04:08,000
Speaker 1: the morning thing. I live in Manhattan, Oh.

1281
01:04:08,000 --> 01:04:10,280
Speaker 5: My god, it's too funny to imagine. I might have

1282
01:04:10,320 --> 01:04:12,400
Speaker 5: to go on there just to find out what's going on.

1283
01:04:12,960 --> 01:04:13,840
Speaker 5: Should die?

1284
01:04:14,120 --> 01:04:16,160
Speaker 1: I don't know, Claire, you should just do a little

1285
01:04:16,200 --> 01:04:18,320
Speaker 1: recon for us and come back. Well, all right, Dane,

1286
01:04:18,360 --> 01:04:19,160
Speaker 1: go ahead, it's going on.

1287
01:04:19,440 --> 01:04:22,560
Speaker 4: I'm thrilled to report that on jay D eight, individuals

1288
01:04:22,640 --> 01:04:24,280
Speaker 4: do not have to be Jewish in order.

1289
01:04:24,120 --> 01:04:24,720
Speaker 1: To join Dale.

1290
01:04:25,440 --> 01:04:28,760
Speaker 4: You could join and on Farmers only. It isn't just

1291
01:04:28,840 --> 01:04:31,800
Speaker 4: for farmers, it's for anyone interested in living a more

1292
01:04:31,880 --> 01:04:32,760
Speaker 4: rural lifestyle.

1293
01:04:33,640 --> 01:04:35,560
Speaker 1: Well, let me tell you something you're gonna fall in

1294
01:04:35,560 --> 01:04:37,160
Speaker 1: love with someone who's gonna be like you're you're down

1295
01:04:37,200 --> 01:04:38,640
Speaker 1: to milk those cows at five thirty?

1296
01:04:38,720 --> 01:04:38,840
Speaker 5: Right?

1297
01:04:39,120 --> 01:04:46,440
Speaker 1: Like what now, that's my am I supposed to end

1298
01:04:46,480 --> 01:04:48,040
Speaker 1: up at five thirty if I was up till two

1299
01:04:48,120 --> 01:04:49,440
Speaker 1: am watching Below Deck men.

1300
01:04:52,400 --> 01:04:55,560
Speaker 5: Well, maybe that's what below Deck down Under is all about.

1301
01:04:55,680 --> 01:04:58,440
Speaker 5: Maybe they Yeah, I don't know what they're doing on them.

1302
01:04:58,640 --> 01:05:03,400
Speaker 1: They're in Australia. Claire's trying to make sexual innuendo. Donald

1303
01:05:03,440 --> 01:05:05,800
Speaker 1: Donald has a bad impression influenced.

1304
01:05:06,440 --> 01:05:07,160
Speaker 2: Let's take a break.

1305
01:05:07,240 --> 01:05:09,720
Speaker 1: We'll be right back after these fine words.

1306
01:05:16,360 --> 01:05:18,880
Speaker 3: This segment of Fake Doctor's Real Friends is brought to

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01:05:18,920 --> 01:05:22,480
Speaker 3: you by T Mobile. When you need great coverage, especially

1308
01:05:22,560 --> 01:05:25,880
Speaker 3: when enjoying your favorite podcast, check out t Mobile.

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01:05:26,400 --> 01:05:29,760
Speaker 1: Okay, today, Joel pulled a couple of fan letters that

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01:05:29,840 --> 01:05:31,240
Speaker 1: she's gonna read to us now.

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01:05:31,560 --> 01:05:34,080
Speaker 6: So we get a ton of letters that are not

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01:05:34,120 --> 01:05:35,160
Speaker 6: asking us for anything.

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01:05:35,480 --> 01:05:37,480
Speaker 2: They don't want, they don't want to try to be

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01:05:37,520 --> 01:05:37,840
Speaker 2: on the show.

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01:05:38,640 --> 01:05:41,120
Speaker 6: Letter Joelle sharing some love, and I was like, how

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01:05:41,160 --> 01:05:43,000
Speaker 6: do we honor these people who are just sending us

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01:05:43,040 --> 01:05:46,000
Speaker 6: in these such lovely thoughts? So here we go. Our

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01:05:46,040 --> 01:05:49,280
Speaker 6: first letter comes from Matt mulvaney. It's from the UK.

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01:05:49,440 --> 01:05:54,040
Speaker 1: He says, Hey, not Mick mulvaney, right, not mickt.

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Speaker 5: Okay.

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01:05:54,920 --> 01:05:56,640
Speaker 6: So this is actually a question, but it's a fun question.

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01:05:57,440 --> 01:05:59,080
Speaker 2: I have a question that I've been wondering for a while.

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01:05:59,320 --> 01:06:00,560
Speaker 2: This is the question. I'm listening.

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01:06:00,640 --> 01:06:03,280
Speaker 1: All right, looks like at the beginning, like you're looking

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01:06:03,280 --> 01:06:04,560
Speaker 1: at your Farmer's only account.

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01:06:04,880 --> 01:06:05,560
Speaker 2: How did you know?

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01:06:05,880 --> 01:06:09,560
Speaker 1: Ahead? Oh my god, Donald Donald's looking down like he's

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01:06:09,560 --> 01:06:11,760
Speaker 1: signing him for farmers Own. All right, go ahead, you ill? Sorry?

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Speaker 5: Okay.

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01:06:12,520 --> 01:06:15,480
Speaker 6: So the beginning of the series, JD has the apartment,

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01:06:16,320 --> 01:06:18,720
Speaker 6: but when Carla and Turk move in, it's JD that

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01:06:18,800 --> 01:06:19,640
Speaker 6: has to move out.

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01:06:20,360 --> 01:06:24,160
Speaker 3: Why, well, no, JD and Turk didn't. JD and Turk

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01:06:24,240 --> 01:06:27,240
Speaker 3: have the apartment right now? JD has the apartment, but

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01:06:27,320 --> 01:06:27,600
Speaker 3: you did.

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01:06:27,720 --> 01:06:29,880
Speaker 1: Why Why don't y'all move out and find a new place?

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01:06:29,880 --> 01:06:31,120
Speaker 1: Why do you evictim JD?

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01:06:31,960 --> 01:06:35,480
Speaker 3: They don't. JD decides to move out. He's living with

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01:06:35,520 --> 01:06:36,560
Speaker 3: them for the longest.

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Speaker 1: Yeah, but why can't they get their own place? JD's

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01:06:38,560 --> 01:06:39,840
Speaker 1: got a nice apartment.

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01:06:41,120 --> 01:06:42,280
Speaker 2: Yo, That I don't know.

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01:06:42,440 --> 01:06:44,600
Speaker 3: JD decided to move out on his own, man, that

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Speaker 3: I do not understand.

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01:06:47,120 --> 01:06:48,880
Speaker 1: All right, Well, you don't have an answer for you, but.

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01:06:49,280 --> 01:06:51,040
Speaker 2: We because it's good for storytelling.

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01:06:51,640 --> 01:06:53,760
Speaker 1: Whenever the answer is donald and I didn't come up

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01:06:53,760 --> 01:06:56,080
Speaker 1: with it, so there you go. Go ahead, Joelle.

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01:06:56,320 --> 01:07:00,240
Speaker 6: All right, so our next question comes from Mary Chandler.

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01:07:00,280 --> 01:07:03,200
Speaker 6: Mary says, Hey, Joelle, I just want to say thanks.

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01:07:03,240 --> 01:07:05,520
Speaker 6: I've been listening to the podcast since the very beginning.

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01:07:05,560 --> 01:07:08,680
Speaker 6: I was religiously tuning in every day a new episode dropped.

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01:07:08,720 --> 01:07:11,560
Speaker 6: But then in December twenty twenty one, my dad passed

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01:07:11,600 --> 01:07:14,600
Speaker 6: away from COVID, and I struggled a lot. The podcast

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01:07:14,640 --> 01:07:17,200
Speaker 6: is so funny and silly and happy, so I didn't

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01:07:17,240 --> 01:07:19,040
Speaker 6: listen for a while because I didn't feel like I.

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01:07:19,000 --> 01:07:19,920
Speaker 5: Could be happy.

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01:07:20,520 --> 01:07:22,920
Speaker 6: I'm doing better now, and this summer I've been frantically

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01:07:22,920 --> 01:07:24,640
Speaker 6: trying to catch up with all the episodes. I'm on

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01:07:24,720 --> 01:07:27,560
Speaker 6: seven oh four right now. I quit my bar industry

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01:07:27,640 --> 01:07:29,200
Speaker 6: job in order to help out my mom since my

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01:07:29,280 --> 01:07:32,200
Speaker 6: dad passed away, so suddenly I left behind coworkers that

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01:07:32,240 --> 01:07:34,520
Speaker 6: were like family, and I missed them a lot. Listening

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01:07:34,600 --> 01:07:36,320
Speaker 6: to the four of you helps fill a little of

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01:07:36,360 --> 01:07:38,600
Speaker 6: that void. I just wanted to say that I appreciate

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01:07:38,640 --> 01:07:39,840
Speaker 6: the friendship you for have.

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01:07:40,080 --> 01:07:41,080
Speaker 2: It's been healing for me.

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01:07:41,240 --> 01:07:43,880
Speaker 6: It's incredible that you all met and care about each other.

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01:07:44,200 --> 01:07:45,960
Speaker 6: It really comes through in the show. I could go

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01:07:46,000 --> 01:07:47,200
Speaker 6: on and on, but I'm trying to be as brief

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01:07:47,240 --> 01:07:48,520
Speaker 6: as possible. Thank you again.

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01:07:48,920 --> 01:07:50,360
Speaker 2: Cheers Mary, Mary.

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01:07:50,440 --> 01:07:51,240
Speaker 1: That's so sweet.

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01:07:51,280 --> 01:07:51,600
Speaker 2: Mary.

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01:07:51,640 --> 01:07:54,240
Speaker 1: I love you, Mary. It's exactly. I love you, Mary.

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01:07:54,280 --> 01:07:55,760
Speaker 1: I love you Mary. I love you.

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01:07:56,800 --> 01:07:57,000
Speaker 2: Yeah.

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01:07:57,040 --> 01:07:58,560
Speaker 1: I think Mary, I love you. I think if you

1379
01:07:58,600 --> 01:08:01,800
Speaker 1: asked the four of us what we would make us feel,

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01:08:01,800 --> 01:08:04,640
Speaker 1: the warmest in our hearts would be what Mary's saying.

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01:08:04,680 --> 01:08:06,640
Speaker 1: The idea that we could make you laugh when you're

1382
01:08:06,800 --> 01:08:09,560
Speaker 1: feeling sad, The idea that we could bring a giggle

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01:08:09,600 --> 01:08:13,680
Speaker 1: to your day or your car ride or whatever it is,

1384
01:08:13,360 --> 01:08:15,120
Speaker 1: is all we all really want to do.

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01:08:15,600 --> 01:08:17,439
Speaker 2: That's all we want to do. He's not lying.

1386
01:08:17,840 --> 01:08:19,559
Speaker 3: When I'm loud and when I'm making all of this

1387
01:08:19,720 --> 01:08:21,840
Speaker 3: noise and all of that stuff. It's really for you, guys,

1388
01:08:21,880 --> 01:08:25,320
Speaker 3: I swear all my life for real, I really do

1389
01:08:25,400 --> 01:08:27,559
Speaker 3: want you, guys to enjoy your day and be happy

1390
01:08:27,600 --> 01:08:30,840
Speaker 3: and feel the energy that you know, feel the energy

1391
01:08:30,880 --> 01:08:35,680
Speaker 3: that we're sending through the airwaves. However you describe your podcast,

1392
01:08:35,720 --> 01:08:37,639
Speaker 3: whether it's radio or not, you know what I mean.

1393
01:08:37,720 --> 01:08:41,000
Speaker 3: We understand the responsibility that we have and you know

1394
01:08:42,000 --> 01:08:45,599
Speaker 3: it's really important to us that you enjoy your time

1395
01:08:45,680 --> 01:08:46,240
Speaker 3: with us.

1396
01:08:46,520 --> 01:08:48,920
Speaker 1: Yeah. We want to create an hour or so of

1397
01:08:50,080 --> 01:08:54,559
Speaker 1: hopefully some laughs and some hopefully occasionally some thoughtfulness like

1398
01:08:54,600 --> 01:08:57,720
Speaker 1: our guests today, and that's all we want to do.

1399
01:08:57,760 --> 01:09:00,559
Speaker 1: And it brings us so much joy to hear feedback

1400
01:09:00,600 --> 01:09:02,400
Speaker 1: like that. So thank you so much from the bottom

1401
01:09:02,400 --> 01:09:04,800
Speaker 1: of our hearts. Thanks T Mobile. Did you know that

1402
01:09:04,840 --> 01:09:07,639
Speaker 1: at T Mobile new inexisting customers always get the same

1403
01:09:07,680 --> 01:09:10,839
Speaker 1: great device deals with go five G plus plans? It's true?

1404
01:09:10,920 --> 01:09:13,639
Speaker 1: So why wait? Go check out t mobile dot com

1405
01:09:13,800 --> 01:09:24,120
Speaker 1: slash go see why Now back to the show, All right,

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01:09:24,400 --> 01:09:27,600
Speaker 1: Claire Staples, You're an incredible human being. You are inspiration

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01:09:27,720 --> 01:09:30,720
Speaker 1: and I love that. I am so moved also that

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01:09:30,760 --> 01:09:34,240
Speaker 1: this part of this spark came out of your recovery

1409
01:09:34,640 --> 01:09:40,280
Speaker 1: and wanting to be of service to our country and humanity.

1410
01:09:40,320 --> 01:09:43,360
Speaker 1: And I just think you're an extraordinary person. You know,

1411
01:09:43,360 --> 01:09:46,520
Speaker 1: when they do those CNN Extraordinary people things.

1412
01:09:46,680 --> 01:09:47,719
Speaker 5: I think we should be abmitting.

1413
01:09:48,800 --> 01:09:52,559
Speaker 1: This is our version. You're our first You're our first

1414
01:09:52,960 --> 01:09:56,040
Speaker 1: candidate for it's way more fun. Yeah, By the way

1415
01:09:56,040 --> 01:09:58,080
Speaker 1: Donald that we should do that. We should have extraordinary

1416
01:09:58,120 --> 01:10:00,599
Speaker 1: people like Claire on and then we'll do our CNN

1417
01:10:00,840 --> 01:10:05,160
Speaker 1: version of Extraordinary Person of the Year. Yes, I love it,

1418
01:10:05,320 --> 01:10:09,000
Speaker 1: but you're the first guest. You're no offense, no offense to,

1419
01:10:09,200 --> 01:10:14,160
Speaker 1: no offense to Cody. But uh, you did.

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01:10:14,040 --> 01:10:15,599
Speaker 2: Great by most Americans, Cody.

1421
01:10:15,640 --> 01:10:18,400
Speaker 1: But yeah, Cody, we we love you, but you're not

1422
01:10:18,439 --> 01:10:20,880
Speaker 1: a candidate for Special Human.

1423
01:10:20,680 --> 01:10:22,479
Speaker 2: Of the Year. And it's only because you don't like

1424
01:10:22,520 --> 01:10:23,120
Speaker 2: Taylor Swift.

1425
01:10:23,280 --> 01:10:25,800
Speaker 1: Yes, that's one of the main reasons that you can

1426
01:10:25,960 --> 01:10:30,040
Speaker 1: everyone well, believe it or not, Cody, Cody's.

1427
01:10:29,840 --> 01:10:31,519
Speaker 2: I didn't like Taylor Swift for six days.

1428
01:10:32,920 --> 01:10:36,439
Speaker 1: So if you know this, uh, Clara, but the haters

1429
01:10:36,479 --> 01:10:40,840
Speaker 1: are gonna hate, hate, hate, hate.

1430
01:10:38,560 --> 01:10:41,280
Speaker 2: Hate, tell it. I told us that, and it was

1431
01:10:42,280 --> 01:10:44,640
Speaker 2: I always forget what the haters are going to do.

1432
01:10:44,680 --> 01:10:46,280
Speaker 1: And I know they're gonna mind.

1433
01:10:46,720 --> 01:10:48,080
Speaker 5: Yeah, they're gonna hate.

1434
01:10:48,920 --> 01:10:53,880
Speaker 1: Shake it off and everybody, everybody, We're gonna end on

1435
01:10:53,920 --> 01:10:57,200
Speaker 1: that note. If the haters hate, shake it up.

1436
01:10:59,080 --> 01:11:05,280
Speaker 7: Five six stories that show we made about a bunch

1437
01:11:05,280 --> 01:11:08,200
Speaker 7: of talks and nurses in Canada who love me.

1438
01:11:08,640 --> 01:11:12,320
Speaker 1: I said, here's the stories that all should know.

1439
01:11:13,920 --> 01:11:17,920
Speaker 7: So gather round you here, our gather round you here,

1440
01:11:18,080 --> 01:11:19,000
Speaker 7: our scotty

1441
01:11:19,200 --> 01:11:21,519
Speaker 1: My show is, and no