UnchainedTV: Meet The Cat Who Escaped a U.S. Government Torture Lab

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Welcome to Unchained TV, featuring best-selling author,

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TV journalist, and the founder of the Unchained

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TV free streaming network, Jane Valez Mitchell.

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You're about to hear a secret solution to

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the problems that plague our world.

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If you want to revolutionise your health, get

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truly joyful, and jump to the next phase

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of human evolution, all it takes is one

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simple choice.

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Now, here's your host, Jane Valez Mitchell.

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And we have some breaking news for you.

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You are going to meet a man who

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was doing quite possibly more than anybody else

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on the planet to end ridiculous, cruel, wasteful,

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taxpayer-funded animal torture, Anthony Bellotti.

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And the breaking news is that this man

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has stopped some of these hideous experiments.

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If you're listening, take our word for it.

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It's horrible.

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They slashed her face with scissors, contorted her

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face, electro-shocked her body.

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It's just unbelievable what government money is doing

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in terms of animal torture.

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It's your tax bill.

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And what is it accomplishing?

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A whole heck of nothing, okay?

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And this organisation, White Coat Waste, has shut

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down a lot of these ridiculous experiments that

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are really money-making machines.

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So they're urging you to go to whitecoatwaste

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.org and get involved.

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And now you're going to meet the man

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who has done so much to shut down

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these labs, the one and only Anthony Bellotti.

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And not only Anthony, you're going to meet

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Delilah, one of the cats that he pulled

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out of one of these torture, these mediaeval

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torture chambers.

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Tell us, Anthony, what did you do with

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Delilah and why is this happening?

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Hi, Jane, and thanks for having both of

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us on.

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This is Delilah here, and she's very grateful,

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as am I, for the opportunity to be

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on the show today and talk about the

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federal animal testing crisis, federal animal testing.

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And that's what we work on here.

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White Coat Waste is a bipartisan government watchdog

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and nonprofit organisation, and we are fighting to

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expose and close the U.S. government's animal

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testing business.

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So Delilah here is a survivor of animal

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testing.

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And not just from any cat lab, but

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she came from the largest federal cat lab

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in the United States government, the largest taxpayer

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-funded lab that there was, abusing cats and

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kittens.

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And White Coat Waste Project exposed and closed

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her lab approximately five years ago.

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We just celebrated the five-year anniversary of

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this lab.

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It's had enormous ripple effects for cats and

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kittens and many, many other animals across the

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government.

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As you can see here, Delilah is also

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number 87.

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You can see the tattoos in both of

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her ears.

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And I have a tight shot of that.

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Here it is.

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You can see the circle.

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That is the tattoo.

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And it says here, 5,436 perished in

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USDA's Kitten Slaughterhouse.

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That's right.

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The greatest day of my life was the

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day when leading the campaign that exposed and

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closed that lab.

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For nearly 50 years, almost 50 years, continually

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taxpayer-funded, this lab was abusing cats and

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kittens.

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And not just here, but abroad.

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They were doing toxoplasmosis research.

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They were feeding kittens rotten meat infected with

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the toxoplasmosis parasites, infecting them.

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And they were only two or three months

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old.

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And then they slaughtered and incinerated them.

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They killed them all.

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And this was going on for, again, almost

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five decades.

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Delilah here, we liberated from that lab.

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She was a breeder.

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She was used as an incubator for the

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kittens in that lab.

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22 of her kittens were killed.

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They were slaughtered and they were burned.

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And thousands and thousands of others suffered the

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same fate.

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We put out a massive investigation a few

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years ago.

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And we rallied Republicans and Democrats together on

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the Hill to help us to cut the

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purse strings and cut the funding to that

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lab.

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And after five decades, we knocked it out,

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shut it down.

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And we were able to free the survivors.

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I actually adopted two of them.

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And sadly, little petite, who was the other

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cat I adopted, she passed away just very

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recently.

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And this is, yeah.

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This is, it's so horrifying to me because

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I pay taxes, as I'm sure you do.

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And we have no control over where our

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money goes to these ridiculous experiments.

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And we're going to get into just how

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ridiculous they are.

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But this has touched a nerve already.

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The phone lines are lining up.

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Tiffany in Los Angeles, what is your question

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or thought for Anthony Bilotti, the head of

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White Coat Waste?

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Good afternoon, Jane, and thank you for taking

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my call.

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And Anthony, thank you for, I had no

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idea that our tax dollars are going to

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experiments on cats.

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So much of this is hidden from us.

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I was wondering what your background is.

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Did you work in a lab or how

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were you, how did you come about to

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find out about this cause?

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Thanks.

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Thank you.

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Thank you.

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Thank you, Tiffany.

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Thank you for the question.

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I did indeed work in an animal lab

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when I was 17 years old.

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I'm going to date myself.

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It was 1995.

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It was 29 summers ago, right around this

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time.

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And I thought I wanted to be a

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doctor.

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I thought I would get a letter of

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recommendation for college and go into medical.

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My dad was a dentist, is a dentist,

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and I wanted to follow in that kind

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of footsteps.

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I liked science.

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And I did an internship in an animal

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lab in the New York area.

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And I remember saying to myself, you know,

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after a day of working in the lab

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with, with pigs, which was the, the, uh,

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the animal that they were using and abusing

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in that lab.

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And I said to myself, if this is

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one of the good labs, what the heck

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are they doing in the bad ones?

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You know, I was, I was really just

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horrified by what I saw and I wasn't

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involved with, with, with, with fighting animal testing.

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I wasn't involved with animal rights.

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I wasn't involved with anything.

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I was 17 years old.

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I was just involved with applying to college.

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I was a kid and it was a

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wake up call.

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And I said, I want to do something

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about this.

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This is, this is going to be my

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life's work.

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And I didn't know how to do it.

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I didn't know what to do.

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Um, I didn't know how to fight it.

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I know how to fight it now, but

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it took me, it took me a hot

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minute to figure out the secret sauce to

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saving cats and springing them from labs and

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shutting them down.

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I didn't know about taxes.

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I didn't pay taxes.

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Uh, I was a kid, right?

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I, I, what did I know?

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So, you know, I bounced around a bit.

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Um, and my first job out of school

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was working in investment banking.

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I thought I was going to my, my

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big, my, my, my, my great plan was

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to make a lot of money and fund,

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fund the camp.

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I thought I'd be a funder, you know,

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fund the campaigns to fight back against what

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you're seeing on the screen.

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My, my, my half-baked plan came undone

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sometime after nine 11, I was laid off.

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I wasn't very good at banking.

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I wasn't making a lot of money that

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plan needed to be rethought.

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So then I said, all right, what can

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I do to be good?

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What's what, what would I be good at?

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What skill can I learn to, to help

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animals?

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What would be a good cause we're banking

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and raising, you know, save out that didn't

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work.

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So what can I do?

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And I went to DC to learn how

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to run campaigns.

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My background was in political campaigning and public

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affairs.

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I became a professional, uh, campaign consultant, a

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political consultant, and I wanted to learn a

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trait that I thought would be valuable for

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animals.

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How do we run professional strategic campaigns?

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How did we learn about public opinion polls

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and advertising and targeting and research and investigations?

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And I pursued a professional path in, in

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that world, working for, for candidates and advocacy

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organisations.

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Uh, Arnold Schwarzenegger was one of what I

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worked on his campaign as a, as an

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opposition researcher.

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I learned about fundraising.

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I learned about targeting.

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I learned about research and I learned a

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skillset and I learned a skillset that, that

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I thought would be super helpful for, for

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running professional campaigns.

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And, and I learned eventually that animal testing

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is taxpayer funded.

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And if you can fund something, you can

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defund it.

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Think about that.

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The U S government spends wastes, it wastes

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it $20 billion a year on animal testing.

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That's more than the entire private sector combined.

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Think about that.

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Delilah's lab was taxpayer funded, 22 and a

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half million dollars in us tax money.

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The government is the funder.

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It is the market maker.

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And I realised I had the, I had

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the realisation that again, based on some of

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the I was working on on the, uh,

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at the time that if you can cut

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the purse strings, you can cut the problem.

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If you can cut the funding, you can

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cut the problem.

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So I came up with the idea for

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the white coat waste project.

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That's what, and we've changed the world.

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You have indeed.

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And I know you would like everybody to

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get involved.

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You can't do it alone.

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Go to whitecoatwaste.org and get involved.

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Um, you are, I think a brilliant organiser.

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We're going to talk about the global headlines

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that you achieved, uh, during the pandemic.

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And that is an entire saga, but first

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we've got another caller Nilo far in Dallas,

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Texas, your question or thought for Anthony Bilotti,

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who is with Delilah, one of the cats

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that he got out of these torture labs.

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What do you have to ask him?

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00:11:14,000 --> 00:11:16,220
Hi, it's such an honour.

275
00:11:16,660 --> 00:11:18,300
Um, I'm going to bring up the Beagle

276
00:11:18,300 --> 00:11:21,840
Gate campaign because it went viral and, um,

277
00:11:21,920 --> 00:11:24,720
it's such a huge victory for animal rights,

278
00:11:24,860 --> 00:11:27,300
especially since Fauci and his cronies at the

279
00:11:27,300 --> 00:11:29,380
NIH tried to cover it up.

280
00:11:30,000 --> 00:11:33,460
Um, and, um, especially this lab was in

281
00:11:33,460 --> 00:11:34,000
Tunisia.

282
00:11:34,260 --> 00:11:37,380
And I know that the Biden administration also

283
00:11:37,380 --> 00:11:41,300
knew that Fauci was lying and covering it

284
00:11:41,300 --> 00:11:41,620
up.

285
00:11:42,180 --> 00:11:44,780
Um, so in the midst of the orchestrated

286
00:11:44,780 --> 00:11:47,080
coverup, the proof is in the pudding.

287
00:11:47,280 --> 00:11:50,580
And my question is why isn't Fauci in

288
00:11:50,580 --> 00:11:50,940
jail?

289
00:11:51,820 --> 00:11:52,680
All right.

290
00:11:52,760 --> 00:11:54,100
Well, let me just say this.

291
00:11:54,220 --> 00:11:56,900
Uh, we here, we, we try to stay

292
00:11:56,900 --> 00:12:01,620
away from, you know, attacking individuals and principles

293
00:12:01,620 --> 00:12:05,720
above personalities, but Nilo far, your question is

294
00:12:05,720 --> 00:12:09,980
excellent in that it's not just cats, it's

295
00:12:09,980 --> 00:12:13,180
cats, it's monkeys, it's mice, and it's also

296
00:12:13,180 --> 00:12:13,800
dogs.

297
00:12:13,960 --> 00:12:15,720
Now this is little Wednesday.

298
00:12:16,080 --> 00:12:19,180
She is my Beagle mix, but the reason

299
00:12:19,180 --> 00:12:22,760
why they use Beagles is because Beagles are

300
00:12:22,760 --> 00:12:25,920
so, so gentle and forgiving.

301
00:12:26,360 --> 00:12:29,920
And this little one is a very, very

302
00:12:29,920 --> 00:12:31,940
gentle, gentle baby.

303
00:12:32,680 --> 00:12:35,500
So tell us a little bit about, we've

304
00:12:35,500 --> 00:12:36,560
covered cat torture.

305
00:12:36,960 --> 00:12:39,600
Let's talk a little bit about the way

306
00:12:39,600 --> 00:12:43,040
the U S government is funding dog torture.

307
00:12:43,420 --> 00:12:44,100
Absolutely.

308
00:12:44,460 --> 00:12:46,840
You said, and Jane, you said it, why

309
00:12:46,840 --> 00:12:47,280
Beagles?

310
00:12:48,040 --> 00:12:48,360
Why?

311
00:12:49,300 --> 00:12:52,240
Because they're docile and they take the, they

312
00:12:52,240 --> 00:12:53,320
take the abuse.

313
00:12:54,080 --> 00:12:58,180
They're better specimens to take the punishment in

314
00:12:58,180 --> 00:12:58,660
the lab.

315
00:12:58,660 --> 00:13:02,540
That's why, you know, our first time, our

316
00:13:02,540 --> 00:13:04,400
first full year at the white coat waste

317
00:13:04,400 --> 00:13:05,340
project was 2016.

318
00:13:05,940 --> 00:13:08,580
It, it, it was a, again, I, I

319
00:13:08,580 --> 00:13:14,020
had, I was working, uh, before that and

320
00:13:14,020 --> 00:13:15,360
in, in, in another career.

321
00:13:16,080 --> 00:13:18,640
And, but, but we went full time, full

322
00:13:18,640 --> 00:13:21,260
time, became a full time organisation in 2016.

323
00:13:21,260 --> 00:13:24,040
So it hasn't been around that long, not

324
00:13:24,040 --> 00:13:25,740
even, not even a decade of full-time

325
00:13:25,740 --> 00:13:26,100
work.

326
00:13:26,100 --> 00:13:30,520
Well, our very first full time, uh, effort,

327
00:13:30,620 --> 00:13:32,900
the very first campaign we launched was for

328
00:13:32,900 --> 00:13:33,960
dogs, not cats.

329
00:13:34,320 --> 00:13:37,460
And in, it was November of 2016, our

330
00:13:37,460 --> 00:13:39,860
very first public policy effort was, was it

331
00:13:39,860 --> 00:13:42,220
was, it was an investigation called spending to

332
00:13:42,220 --> 00:13:46,040
death, spending to death, an audit and an

333
00:13:46,040 --> 00:13:49,120
investigation of what the government was doing to

334
00:13:49,120 --> 00:13:51,520
the Beagles and the dogs across the agencies,

335
00:13:51,720 --> 00:13:56,300
the NIH, the defence department, uh, the CDC,

336
00:13:56,800 --> 00:13:59,320
the FDA, and the veterans administration.

337
00:13:59,980 --> 00:14:03,900
Now in that report lay the seeds for

338
00:14:03,900 --> 00:14:05,300
some of the, for some of the most

339
00:14:05,300 --> 00:14:07,440
historic campaigns for dogs of the last 50

340
00:14:07,440 --> 00:14:11,200
years in that report back in 2016, we

341
00:14:11,200 --> 00:14:14,360
had the, uh, the Beagle gate sand flies,

342
00:14:14,560 --> 00:14:16,560
at least one of them in that report

343
00:14:16,560 --> 00:14:19,420
at the time, the NIH, uh, whether feeding

344
00:14:19,420 --> 00:14:21,440
the dogs, the Beagles to the sand flies,

345
00:14:21,560 --> 00:14:23,080
letting them, uh, eat them alive.

346
00:14:23,160 --> 00:14:24,920
That was in that report as of 20,

347
00:14:25,000 --> 00:14:26,260
as of November, 2016.

348
00:14:26,680 --> 00:14:29,940
And so was, so was an investigation of

349
00:14:29,940 --> 00:14:31,480
what they were doing to the dogs at

350
00:14:31,480 --> 00:14:33,400
the DA at the department of veterans affairs.

351
00:14:33,560 --> 00:14:35,540
So that little report that we put out,

352
00:14:35,660 --> 00:14:38,380
the Washington post covered, uh, and countless others

353
00:14:38,380 --> 00:14:40,180
in that report, lay the seeds for the

354
00:14:40,180 --> 00:14:43,120
most important campaigns to save dogs, uh, in

355
00:14:43,120 --> 00:14:45,620
the last five decades, that little report late

356
00:14:45,620 --> 00:14:48,700
spring, uh, was the jumping off point for

357
00:14:48,700 --> 00:14:51,940
our campaign to expose and close all of

358
00:14:51,940 --> 00:14:54,180
the dog labs across the department of veterans

359
00:14:54,180 --> 00:14:54,560
affairs.

360
00:14:55,200 --> 00:14:57,960
And, uh, that was a five-year campaign

361
00:14:57,960 --> 00:15:02,900
from 2017 to 2022 that effectively annihilated dog

362
00:15:02,900 --> 00:15:06,640
testing, uh, uh, where they were in Milwaukee,

363
00:15:07,340 --> 00:15:10,340
in Cleveland, in Richmond, again, coast to Los

364
00:15:10,340 --> 00:15:12,580
Angeles, coast to coast, clean them all out,

365
00:15:12,760 --> 00:15:13,880
which we did.

366
00:15:13,880 --> 00:15:16,420
Uh, and that campaign was one of the

367
00:15:16,420 --> 00:15:18,040
most effective, I think it was the most

368
00:15:18,040 --> 00:15:20,640
effective campaign for dogs, uh, in American history.

369
00:15:21,420 --> 00:15:23,320
So let me ask you a question.

370
00:15:23,780 --> 00:15:27,020
Here I am, we know we don't have

371
00:15:27,020 --> 00:15:28,420
tails, we don't have paws.

372
00:15:28,760 --> 00:15:31,780
If this little girl eats chocolate, she gets

373
00:15:31,780 --> 00:15:32,200
poisoned.

374
00:15:32,960 --> 00:15:35,680
Uh, you know, I eat chocolate, unfortunately a

375
00:15:35,680 --> 00:15:36,340
little too much.

376
00:15:36,980 --> 00:15:40,120
Um, but the point is that you see

377
00:15:40,120 --> 00:15:41,160
how docile she is.

378
00:15:41,180 --> 00:15:42,100
She's yawning already.

379
00:15:42,540 --> 00:15:46,780
What are their justifications for these torturous experiments?

380
00:15:47,220 --> 00:15:49,440
Like how do they justify this?

381
00:15:49,600 --> 00:15:52,280
How do they convince, uh, the heads of

382
00:15:52,280 --> 00:15:56,580
these agencies to, or Congress to give them

383
00:15:56,580 --> 00:15:56,840
money?

384
00:15:59,140 --> 00:16:00,240
They've adopted this.

385
00:16:00,240 --> 00:16:01,400
Give me, give me, give me culture.

386
00:16:01,800 --> 00:16:03,020
Give me, give me, give me.

387
00:16:03,100 --> 00:16:04,360
They're always starving.

388
00:16:04,460 --> 00:16:06,160
They're always hungry for more money always.

389
00:16:06,500 --> 00:16:09,300
And the answer to your question is started

390
00:16:09,300 --> 00:16:10,560
the same year I was working in the

391
00:16:10,560 --> 00:16:14,500
lab back in 1995 is when this, the

392
00:16:14,500 --> 00:16:18,260
modern, I consider the modern birth of this

393
00:16:18,260 --> 00:16:21,420
virulent, virulent resurgence of animal testing at taxpayer

394
00:16:21,420 --> 00:16:24,980
expense started in the, in, in 1995, you

395
00:16:24,980 --> 00:16:27,920
had this unholy Alliance of Democrats and Republicans.

396
00:16:28,300 --> 00:16:30,000
Both sides are guilty of this boat.

397
00:16:31,140 --> 00:16:34,300
Uh, back in, back in, you know, 95,

398
00:16:34,420 --> 00:16:36,820
give or take about 30 years ago, they

399
00:16:36,820 --> 00:16:37,760
came together, Jane.

400
00:16:38,920 --> 00:16:43,140
And they both said, looking around the world,

401
00:16:43,240 --> 00:16:43,980
looking around the country.

402
00:16:44,360 --> 00:16:44,660
Okay.

403
00:16:44,660 --> 00:16:47,920
We have legitimate human diseases out there.

404
00:16:48,000 --> 00:16:49,020
We have an ageing population.

405
00:16:49,240 --> 00:16:52,400
We have some real problems and let's throw

406
00:16:52,400 --> 00:16:53,200
money at the problem.

407
00:16:53,680 --> 00:16:55,180
Let's throw money at the problem.

408
00:16:55,640 --> 00:17:00,320
So both sides started inflating and ballooning the

409
00:17:00,320 --> 00:17:03,180
budgets for places like the NIH, which has

410
00:17:03,180 --> 00:17:06,040
since more than tripled, uh, in, in, in

411
00:17:06,040 --> 00:17:08,640
budget since, since I, the same time I

412
00:17:08,640 --> 00:17:11,740
was working in a lab, they started doubling,

413
00:17:12,060 --> 00:17:14,319
tripling and more for agencies like the national

414
00:17:14,319 --> 00:17:15,020
institutes of health.

415
00:17:15,060 --> 00:17:16,020
Why is that a problem?

416
00:17:17,280 --> 00:17:21,560
Because places like the NIH spend 50 cents

417
00:17:21,560 --> 00:17:24,280
on the dollar for every dollar you give

418
00:17:24,280 --> 00:17:26,180
them 50 cents of it is going to

419
00:17:26,180 --> 00:17:28,860
abuse cats like, like my Delilah here.

420
00:17:29,620 --> 00:17:31,660
So it's not hard to see how this

421
00:17:31,660 --> 00:17:32,340
problem happened.

422
00:17:33,500 --> 00:17:35,320
It's if I give you a dollar and

423
00:17:35,320 --> 00:17:37,260
you're spending half of it on animal testing,

424
00:17:37,260 --> 00:17:38,640
and then I give you $2 and then

425
00:17:38,640 --> 00:17:39,260
I give you $4.

426
00:17:39,740 --> 00:17:40,120
Okay.

427
00:17:41,440 --> 00:17:42,620
That's how this all started.

428
00:17:42,760 --> 00:17:44,660
And so what'd they do?

429
00:17:44,720 --> 00:17:46,400
I mean, again, you have, you have places

430
00:17:46,400 --> 00:17:49,040
like the NIH, the veterans administration, the U

431
00:17:49,040 --> 00:17:51,720
S department of agriculture, her lab, they all

432
00:17:51,720 --> 00:17:53,860
went around had in hand and took advantage

433
00:17:53,860 --> 00:17:55,620
of, of these politicians.

434
00:17:55,880 --> 00:17:58,520
They took advantage of these lawmakers and they

435
00:17:58,520 --> 00:18:00,020
went around and saying, just give me more.

436
00:18:00,120 --> 00:18:01,420
I'll, I'll cure it this time.

437
00:18:01,480 --> 00:18:02,200
Just give me more.

438
00:18:02,280 --> 00:18:03,140
We'll get it this time.

439
00:18:03,480 --> 00:18:06,480
But as you pointed out, dogs eat chalk,

440
00:18:06,680 --> 00:18:08,420
dogs eat chocolate, they'll die.

441
00:18:08,460 --> 00:18:09,140
You eat chalk.

442
00:18:09,220 --> 00:18:10,640
Well, you know, or they'll get really sick.

443
00:18:10,820 --> 00:18:11,640
You eat chocolate.

444
00:18:11,760 --> 00:18:12,360
It's a good afternoon.

445
00:18:12,860 --> 00:18:14,440
Maybe it's not good, but it's an snack.

446
00:18:14,860 --> 00:18:15,040
Right.

447
00:18:16,700 --> 00:18:17,780
You're not a dog.

448
00:18:19,380 --> 00:18:20,360
I'm not a cat.

449
00:18:20,780 --> 00:18:21,520
We're different.

450
00:18:22,380 --> 00:18:24,160
This stuff is incredibly wasteful.

451
00:18:24,360 --> 00:18:27,200
It doesn't really work on people, but government

452
00:18:27,200 --> 00:18:28,660
does what government always does.

453
00:18:28,760 --> 00:18:29,900
They throw money at the problem.

454
00:18:30,000 --> 00:18:33,600
They have one move spend, spend.

455
00:18:34,060 --> 00:18:37,460
And what we're trying to do is put

456
00:18:37,460 --> 00:18:38,440
the genie back in the bottle.

457
00:18:38,540 --> 00:18:43,310
Now it's up to us now to go

458
00:18:43,310 --> 00:18:45,990
around and start defunding these programmes because they've

459
00:18:45,990 --> 00:18:47,070
spun out of control.

460
00:18:47,570 --> 00:18:49,590
I think you're making incredible points.

461
00:18:50,110 --> 00:18:52,830
We've got yet another caller, Annie in Sherman

462
00:18:52,830 --> 00:18:55,350
Oaks, your question or thought for Anthony Bilotti,

463
00:18:55,710 --> 00:18:57,630
the founder and president of White Coat Waste.

464
00:18:59,070 --> 00:19:01,590
Oh my, thank you so much, Jane, for

465
00:19:01,590 --> 00:19:02,450
having this show.

466
00:19:02,530 --> 00:19:03,470
Incredibly powerful.

467
00:19:03,710 --> 00:19:04,630
And Anthony, wow.

468
00:19:04,850 --> 00:19:06,810
I love White Coat Waste.

469
00:19:06,930 --> 00:19:08,230
You expose so much.

470
00:19:08,850 --> 00:19:10,670
This is a very near and dear to

471
00:19:10,670 --> 00:19:12,930
my heart because I studied psychology and in

472
00:19:12,930 --> 00:19:16,250
the department, they literally demand that we have

473
00:19:16,250 --> 00:19:19,130
to participate in these programmes.

474
00:19:19,350 --> 00:19:21,930
In addition to what I volunteered in the

475
00:19:21,930 --> 00:19:25,010
health department, they required it as a community

476
00:19:25,010 --> 00:19:30,570
service to support all these experiments on the

477
00:19:30,570 --> 00:19:32,630
animals in the name of cancer, in the

478
00:19:32,630 --> 00:19:36,690
name of, you know, supposed cancer solution, heart

479
00:19:36,690 --> 00:19:39,270
disease and Alzheimer's, et cetera, et cetera.

480
00:19:39,590 --> 00:19:41,030
And I used to be so good at

481
00:19:41,030 --> 00:19:41,170
it.

482
00:19:41,290 --> 00:19:43,330
I was team captain when I was blind

483
00:19:43,330 --> 00:19:45,350
to the reality, but I didn't want to

484
00:19:45,350 --> 00:19:48,250
participate in animal testing, which is another story

485
00:19:48,250 --> 00:19:49,130
for another day.

486
00:19:49,610 --> 00:19:50,630
It's a nightmare.

487
00:19:51,150 --> 00:19:55,410
But how can we stop these universities lumped

488
00:19:55,410 --> 00:19:59,150
over millions of dollars flowing in their pockets?

489
00:19:59,710 --> 00:20:02,690
These are crimes that go from our pocket,

490
00:20:02,830 --> 00:20:05,410
our tax money to torture animals so that

491
00:20:05,410 --> 00:20:08,870
universities could gloat with all that money and

492
00:20:08,870 --> 00:20:12,410
constantly repurpose students.

493
00:20:13,930 --> 00:20:14,890
You're right.

494
00:20:15,550 --> 00:20:18,350
You made a very good point.

495
00:20:19,350 --> 00:20:21,810
Universities are a big part of the problem.

496
00:20:22,450 --> 00:20:24,330
They really want the money.

497
00:20:24,570 --> 00:20:25,830
It helps the university.

498
00:20:26,010 --> 00:20:27,470
In other words, they take a cut.

499
00:20:27,950 --> 00:20:30,810
You've got these university scientists living in their

500
00:20:30,810 --> 00:20:31,490
McMansions.

501
00:20:31,490 --> 00:20:32,690
They're making money.

502
00:20:33,010 --> 00:20:37,170
And it's, I mean, honestly, it's a money

503
00:20:37,170 --> 00:20:42,990
-making machine, you know, money corrupts and that's,

504
00:20:42,990 --> 00:20:45,350
it's legal corruption.

505
00:20:46,410 --> 00:20:47,730
It's incentivised.

506
00:20:47,870 --> 00:20:48,830
It's policy.

507
00:20:49,390 --> 00:20:51,610
And that's how they put new wings on

508
00:20:51,610 --> 00:20:52,070
the school.

509
00:20:53,190 --> 00:20:55,010
That's how they balance the books.

510
00:20:55,750 --> 00:20:58,270
So you have universities who are going into

511
00:20:58,270 --> 00:21:00,390
the animal testing business because that's what it

512
00:21:00,390 --> 00:21:00,630
is.

513
00:21:00,730 --> 00:21:01,370
It's a business.

514
00:21:01,770 --> 00:21:03,710
So they're going into it, as she just

515
00:21:03,710 --> 00:21:06,170
explained, as you pointed out there, because it's

516
00:21:06,170 --> 00:21:06,590
lucrative.

517
00:21:08,550 --> 00:21:11,510
The answer to your question is again, defund

518
00:21:11,510 --> 00:21:11,770
it.

519
00:21:12,350 --> 00:21:15,210
If a programme can be funded, it can

520
00:21:15,210 --> 00:21:16,090
be defunded.

521
00:21:16,250 --> 00:21:17,190
That's what we're doing.

522
00:21:17,870 --> 00:21:20,150
You have to go after the root cause.

523
00:21:20,330 --> 00:21:23,670
If you want to tackle animal testing, you

524
00:21:23,670 --> 00:21:26,790
must go after wasteful government spending.

525
00:21:27,890 --> 00:21:30,610
It's not enough to just protest the labs.

526
00:21:30,810 --> 00:21:33,870
It's not enough to just name and shame

527
00:21:33,870 --> 00:21:34,570
these professors.

528
00:21:34,770 --> 00:21:35,730
It doesn't work.

529
00:21:36,030 --> 00:21:36,790
It's not enough.

530
00:21:37,270 --> 00:21:38,830
You have to cut the purse strings.

531
00:21:40,010 --> 00:21:42,310
If you're not going after the funding source,

532
00:21:43,270 --> 00:21:45,390
you're not going to be able to make

533
00:21:45,390 --> 00:21:46,270
a real impact.

534
00:21:46,370 --> 00:21:48,110
I'm telling you, that's the secret sauce.

535
00:21:48,230 --> 00:21:49,570
So the answer to this question, whether it's

536
00:21:49,570 --> 00:21:51,590
done in the federal government or funded by

537
00:21:51,590 --> 00:21:53,830
the federal government in these schools and universities,

538
00:21:54,670 --> 00:21:57,790
Jane's playing some videos of, again, that we've

539
00:21:57,790 --> 00:22:00,610
uncovered that are happening in the campuses, in

540
00:22:00,610 --> 00:22:01,570
the colleges themselves.

541
00:22:02,750 --> 00:22:04,390
Again, you got to cut the purse strings.

542
00:22:04,530 --> 00:22:05,810
So for example, one of the ways we're

543
00:22:05,810 --> 00:22:07,910
doing that, we're backing a new piece of

544
00:22:07,910 --> 00:22:10,610
federal legislation right now called the PAW Act,

545
00:22:11,170 --> 00:22:14,530
the Preventing Animal Abuse and Waste Act.

546
00:22:15,050 --> 00:22:17,970
Preventing Animal Abuse and Waste Act to completely

547
00:22:17,970 --> 00:22:21,550
strip every single red cent that's funded or

548
00:22:21,550 --> 00:22:23,690
run by the National Institutes of Health for

549
00:22:23,690 --> 00:22:24,950
dog and cat tests.

550
00:22:26,210 --> 00:22:28,230
This is the kind of policy we need.

551
00:22:28,830 --> 00:22:32,010
We're also working in appropriations right now.

552
00:22:32,230 --> 00:22:35,390
So not just with a standalone permanent legislation,

553
00:22:35,390 --> 00:22:37,450
but in the budget, the budget process.

554
00:22:37,910 --> 00:22:40,970
Right now, we're making progress with getting language

555
00:22:40,970 --> 00:22:42,970
to cut the purse strings for the VA,

556
00:22:43,570 --> 00:22:47,130
for the NIH and get accountability.

557
00:22:47,750 --> 00:22:49,990
So that's the name of the game.

558
00:22:50,070 --> 00:22:51,030
It's a money game.

559
00:22:51,450 --> 00:22:53,970
You can't talk about animal testing unless you

560
00:22:53,970 --> 00:22:55,070
talk about wasteful spending.

561
00:22:55,790 --> 00:22:58,570
Now, I just read a fascinating article in

562
00:22:58,570 --> 00:23:03,610
BuzzFeed that absolutely blew my mind.

563
00:23:03,690 --> 00:23:05,830
I was aware, but I wasn't really aware

564
00:23:05,830 --> 00:23:08,550
how much white coat waste was behind the

565
00:23:08,550 --> 00:23:12,170
whole controversy over the Wuhan Virology Lab.

566
00:23:12,810 --> 00:23:16,150
Now, we could do an entire four podcasts

567
00:23:16,150 --> 00:23:17,130
on this whole thing.

568
00:23:17,210 --> 00:23:20,090
So not to dive too deep, but obviously

569
00:23:20,090 --> 00:23:20,930
there was a pandemic.

570
00:23:21,430 --> 00:23:26,030
The first shots were of the wet market

571
00:23:26,030 --> 00:23:29,210
in Wuhan, China that had all sorts of

572
00:23:29,210 --> 00:23:32,550
animals together, faeces and blood and pus, and

573
00:23:32,550 --> 00:23:35,770
that was the prime suspect.

574
00:23:36,450 --> 00:23:38,490
And then it turned out that there's a

575
00:23:38,490 --> 00:23:41,910
lab also in Wuhan where they're doing tests,

576
00:23:41,910 --> 00:23:43,890
or they were doing tests.

577
00:23:44,450 --> 00:23:48,590
And the government of the United States was

578
00:23:48,590 --> 00:23:50,270
funding some of these tests.

579
00:23:50,710 --> 00:23:53,610
You blew that story out of the water

580
00:23:53,610 --> 00:23:57,050
by getting Freedom of Information Act requests, getting

581
00:23:57,050 --> 00:23:59,570
that information, and all of a sudden it

582
00:23:59,570 --> 00:24:01,030
was global headlines.

583
00:24:01,290 --> 00:24:04,770
Now, let me say, we still don't culturally,

584
00:24:05,270 --> 00:24:08,670
societally, we haven't said, okay, here's where it

585
00:24:08,670 --> 00:24:09,470
happened.

586
00:24:10,100 --> 00:24:12,590
Because it's very hard to go into the

587
00:24:12,590 --> 00:24:16,130
past, even with murder cases that seem open

588
00:24:16,130 --> 00:24:16,490
and shut.

589
00:24:16,570 --> 00:24:18,390
I was a prime reporter for 40 years.

590
00:24:19,010 --> 00:24:21,730
It seems pretty obvious who the culprit is,

591
00:24:21,850 --> 00:24:24,210
but if they're not convicted beyond a reasonable

592
00:24:24,210 --> 00:24:26,050
doubt, you can't say they're guilty.

593
00:24:26,530 --> 00:24:30,070
So we still don't know for certain where

594
00:24:30,070 --> 00:24:30,690
it started.

595
00:24:31,350 --> 00:24:34,330
In the Wuhan market, where all these animals

596
00:24:34,330 --> 00:24:36,740
were being for food, or in the Wuhan

597
00:24:36,740 --> 00:24:39,340
lab, where the animals were being tortured for

598
00:24:39,340 --> 00:24:40,900
so-called science.

599
00:24:41,180 --> 00:24:44,880
But either way, animal torture is behind the

600
00:24:44,880 --> 00:24:49,320
pandemic that disrupted our lives and killed so

601
00:24:49,320 --> 00:24:49,860
many people.

602
00:24:50,280 --> 00:24:52,700
And yet the media does not talk about

603
00:24:52,700 --> 00:24:53,360
that, Anthony.

604
00:24:53,520 --> 00:24:54,400
Yeah, it's true.

605
00:24:54,640 --> 00:24:55,560
And I'll do you one better.

606
00:24:56,240 --> 00:24:58,160
The cat on my lap is responsible.

607
00:24:58,760 --> 00:25:02,900
Her and my other departed, little petite, the

608
00:25:02,900 --> 00:25:03,900
other cat from the USDA.

609
00:25:04,260 --> 00:25:06,240
Let's see Delilah a little bit, because she's

610
00:25:06,240 --> 00:25:07,200
out of frame.

611
00:25:07,440 --> 00:25:08,060
Come on.

612
00:25:08,440 --> 00:25:09,180
Come on, baby.

613
00:25:10,260 --> 00:25:12,100
Or just, all you have to do is

614
00:25:12,100 --> 00:25:14,220
lower your screen a little bit from your,

615
00:25:14,420 --> 00:25:14,700
yeah.

616
00:25:15,000 --> 00:25:16,980
If you lower your screen, there we go.

617
00:25:17,060 --> 00:25:17,840
That's Delilah.

618
00:25:18,020 --> 00:25:18,840
She escaped.

619
00:25:19,340 --> 00:25:22,340
Well, she was rescued by Anthony's white coat

620
00:25:22,340 --> 00:25:23,980
waist from one of the labs.

621
00:25:24,100 --> 00:25:24,880
Tell the story.

622
00:25:24,980 --> 00:25:25,660
Thank you, Anthony.

623
00:25:25,660 --> 00:25:31,340
And the reason the world knows that US

624
00:25:31,340 --> 00:25:36,420
taxpayers funded that Wuhan lab, the reason they

625
00:25:36,420 --> 00:25:38,640
even know that, that Fauci funded the lab,

626
00:25:38,720 --> 00:25:40,500
the NIH funded all of that, the reason

627
00:25:40,500 --> 00:25:43,160
they know that is because of this cat.

628
00:25:43,720 --> 00:25:44,960
This cat changed the world.

629
00:25:45,040 --> 00:25:45,620
Let me explain.

630
00:25:50,150 --> 00:25:51,790
You see, the kitten slaughterhouse at the US

631
00:25:51,790 --> 00:25:55,390
Department of Agriculture wasn't just abusing animals here.

632
00:25:55,730 --> 00:25:57,490
They were abusing animals over there in China

633
00:25:57,490 --> 00:25:57,790
too.

634
00:26:00,040 --> 00:26:02,360
We found out that, again, she was a

635
00:26:02,360 --> 00:26:04,860
breeder and 22 of her kittens were slaughtered

636
00:26:04,860 --> 00:26:10,200
and incinerated in those toxoplasmosis tests.

637
00:26:12,690 --> 00:26:16,010
But we found out, working with whistleblowers, working

638
00:26:16,010 --> 00:26:18,090
with Freedom of Information Act, working with our

639
00:26:18,090 --> 00:26:20,650
investigative research, that the US Department of Agriculture

640
00:26:20,650 --> 00:26:24,910
was also, for many years, rounding up cat

641
00:26:24,910 --> 00:26:27,270
and dog meat in China at the wet

642
00:26:27,270 --> 00:26:32,450
markets, bringing it back to its lab in

643
00:26:32,450 --> 00:26:36,170
Maryland, where she was born and abused and

644
00:26:36,170 --> 00:26:41,130
trapped, and feeding cat and dog meat to

645
00:26:41,130 --> 00:26:43,710
the kittens in the lab.

646
00:26:43,990 --> 00:26:45,570
So think about that for a minute.

647
00:26:46,570 --> 00:26:47,610
Think about that for a minute.

648
00:26:47,970 --> 00:26:51,910
Dog and cat meat abroad, taxpayer-funded animal

649
00:26:51,910 --> 00:26:52,650
testing at home.

650
00:26:52,750 --> 00:26:54,650
They were doing cannibalism experiments.

651
00:26:55,770 --> 00:26:59,310
Well, in 2019, in March of 2019, right

652
00:26:59,310 --> 00:27:01,990
before we shut down her lab, we blew

653
00:27:01,990 --> 00:27:04,070
the whistle on this, exposed it.

654
00:27:04,130 --> 00:27:05,430
It was on the cover of everything, Time

655
00:27:05,430 --> 00:27:12,210
magazine, the BBC, NBC News, everywhere, and took

656
00:27:12,210 --> 00:27:12,810
down her lab.

657
00:27:13,430 --> 00:27:14,870
Her lab was shut down after the scandal.

658
00:27:16,070 --> 00:27:16,610
She came out.

659
00:27:16,690 --> 00:27:17,250
I adopted her.

660
00:27:17,310 --> 00:27:17,970
But here's the thing.

661
00:27:18,630 --> 00:27:22,670
In 2019, one year before the pandemic, White

662
00:27:22,670 --> 00:27:25,730
Coat Waste investigators were on the trail in

663
00:27:25,730 --> 00:27:26,010
China.

664
00:27:26,530 --> 00:27:27,910
We were on the trail of what our

665
00:27:27,910 --> 00:27:29,090
government was doing over there.

666
00:27:29,550 --> 00:27:32,430
And immediately after saving her life and little

667
00:27:32,430 --> 00:27:36,490
Petit's life, we asked, what else is our

668
00:27:36,490 --> 00:27:37,910
government funding over there?

669
00:27:38,010 --> 00:27:39,250
Because this can't be the only thing.

670
00:27:40,390 --> 00:27:42,370
That's how we knew about the Wuhan lab.

671
00:27:42,710 --> 00:27:45,590
And I believe it was 27 other labs

672
00:27:45,590 --> 00:27:47,590
in China at the time, not just Wuhan.

673
00:27:48,190 --> 00:27:50,490
And we had it.

674
00:27:50,590 --> 00:27:51,270
We had the goods.

675
00:27:51,410 --> 00:27:53,750
We had the information before anyone else because

676
00:27:53,750 --> 00:27:55,430
of her.

677
00:27:56,230 --> 00:27:59,050
And the world owes these cats a great

678
00:27:59,050 --> 00:28:01,570
deal of gratitude for this expose.

679
00:28:01,910 --> 00:28:04,510
We never would have known about that had

680
00:28:04,510 --> 00:28:06,310
we not already been on the trail of

681
00:28:06,310 --> 00:28:09,250
our government's animal abuse in China, because that's

682
00:28:09,250 --> 00:28:10,970
what we're talking about, Jane, the Wuhan lab.

683
00:28:11,530 --> 00:28:16,070
Even if it's innocent of starting the pandemic,

684
00:28:16,170 --> 00:28:18,810
it is guilty of taxpayer-funded torture.

685
00:28:19,350 --> 00:28:22,010
The Wuhan lab is an animal lab.

686
00:28:22,290 --> 00:28:24,390
It is an animal testing lab that was

687
00:28:24,390 --> 00:28:26,310
funded by our National Institutes of Health.

688
00:28:26,970 --> 00:28:29,970
They were abusing bats, rounding them up, wild

689
00:28:29,970 --> 00:28:31,230
animals, trapping them.

690
00:28:31,990 --> 00:28:33,070
You know what happens when you trap a

691
00:28:33,070 --> 00:28:34,770
wild animal in a cage and transport her

692
00:28:34,770 --> 00:28:36,730
in thousands of miles?

693
00:28:37,250 --> 00:28:38,330
They don't like it very much.

694
00:28:38,690 --> 00:28:40,010
It's not very humane.

695
00:28:41,510 --> 00:28:45,390
They were doing fear experiments with electro-shocking

696
00:28:45,390 --> 00:28:47,710
animals, electro-shocking their paws.

697
00:28:48,210 --> 00:28:49,910
They were working with humanised mice.

698
00:28:50,730 --> 00:28:55,150
They were genetically manipulating mice to have the

699
00:28:55,150 --> 00:28:58,490
lungs like humans, so they could do gain

700
00:28:58,490 --> 00:28:59,790
-of-function research.

701
00:29:00,030 --> 00:29:01,750
Gain-of-function research is animal research.

702
00:29:01,830 --> 00:29:03,190
It's just code for animal research.

703
00:29:04,010 --> 00:29:08,750
And they were abusing everything, primates, pigs, bats,

704
00:29:09,510 --> 00:29:10,430
you name it.

705
00:29:10,910 --> 00:29:12,670
That's why we got involved with it, because

706
00:29:12,670 --> 00:29:14,470
it's taxpayer-funded animal testing.

707
00:29:14,990 --> 00:29:16,610
And it's a campaign that's since changed the

708
00:29:16,610 --> 00:29:19,810
world, because Wuhan is not alone.

709
00:29:20,190 --> 00:29:24,310
Our government funds many animal labs around the

710
00:29:24,310 --> 00:29:25,270
world.

711
00:29:25,950 --> 00:29:26,990
Worldwide waste.

712
00:29:27,850 --> 00:29:29,670
I'm very proud that the White Coat Waste

713
00:29:29,670 --> 00:29:31,250
Project blew the whistle on all of this

714
00:29:31,250 --> 00:29:33,490
and got all of this started, because just

715
00:29:33,490 --> 00:29:38,390
a year after that, we put out another

716
00:29:38,390 --> 00:29:42,650
investigation showing that we were also funding more

717
00:29:42,650 --> 00:29:44,170
cat experiments in Russia.

718
00:29:44,770 --> 00:29:46,430
Now, I want to jump into that.

719
00:29:46,910 --> 00:29:49,010
We could talk about this, like I say,

720
00:29:49,030 --> 00:29:50,910
several podcasts, but we've got another caller.

721
00:29:51,750 --> 00:29:54,730
Sophia in California, your question or thought for

722
00:29:54,730 --> 00:29:56,710
Anthony Bilotti, head of White Coat Waste.

723
00:29:58,820 --> 00:29:59,160
Yes.

724
00:29:59,200 --> 00:29:59,480
Hi.

725
00:29:59,580 --> 00:30:00,480
Thanks for having me.

726
00:30:01,180 --> 00:30:03,720
I am just thoroughly disgusted.

727
00:30:09,460 --> 00:30:15,320
This is a holocaust against these little innocent

728
00:30:15,320 --> 00:30:15,840
animals.

729
00:30:16,520 --> 00:30:17,940
I'm a cat lover.

730
00:30:18,140 --> 00:30:20,280
I have a few kitties of my own,

731
00:30:20,580 --> 00:30:23,060
and just the mere thought of it sickens

732
00:30:23,060 --> 00:30:23,900
me to the core.

733
00:30:24,940 --> 00:30:27,060
This should be considered an act of terrorism

734
00:30:27,060 --> 00:30:28,960
against animals worldwide.

735
00:30:29,460 --> 00:30:31,960
It's so unnecessary, and the products that these

736
00:30:31,960 --> 00:30:35,540
people are using for animal testing, animals don't

737
00:30:35,540 --> 00:30:36,000
use them.

738
00:30:36,240 --> 00:30:38,960
It's humans who consume these products and make

739
00:30:38,960 --> 00:30:41,020
billions of dollars from their corporations.

740
00:30:42,180 --> 00:30:43,660
It's got to stop.

741
00:30:44,220 --> 00:30:46,100
There needs to be some sanctions in place.

742
00:30:47,240 --> 00:30:48,880
What I mean is punishments.

743
00:30:50,900 --> 00:30:54,200
They all need to be widely exposed, these

744
00:30:54,200 --> 00:30:56,180
countries, their labs, everything.

745
00:30:56,380 --> 00:30:57,060
Follow the money.

746
00:30:57,280 --> 00:30:58,040
Expose them.

747
00:30:59,480 --> 00:31:02,160
This should be a nonstop campaign against this.

748
00:31:02,200 --> 00:31:03,180
There's no need for this.

749
00:31:03,240 --> 00:31:07,260
In this day and age of technology, again,

750
00:31:07,680 --> 00:31:09,440
they can replace all the animal testing with

751
00:31:09,440 --> 00:31:12,680
technology that could do a simulation if they

752
00:31:12,680 --> 00:31:13,120
have to.

753
00:31:13,400 --> 00:31:16,740
Sophia, I want to thank you, and I

754
00:31:16,740 --> 00:31:19,160
feel and hear your outrage.

755
00:31:19,620 --> 00:31:22,480
That outrage is shared by millions of Americans.

756
00:31:22,620 --> 00:31:25,060
Americans and people around the world, frankly, consider

757
00:31:25,060 --> 00:31:26,320
themselves animal lovers.

758
00:31:27,080 --> 00:31:31,940
Yet, it seems like it's carte blanche for

759
00:31:31,940 --> 00:31:32,720
animal torture.

760
00:31:33,280 --> 00:31:34,260
All you have to do is say the

761
00:31:34,260 --> 00:31:35,020
word science.

762
00:31:35,380 --> 00:31:37,960
One of the reasons, according to other experts

763
00:31:37,960 --> 00:31:40,360
I've spoken with, is that the National Institutes

764
00:31:40,360 --> 00:31:42,660
of Health is run by vivisectors.

765
00:31:43,140 --> 00:31:47,440
Now, there was the Dr. Collins who resigned

766
00:31:47,440 --> 00:31:50,260
or retired, and there was hope that the

767
00:31:50,260 --> 00:31:52,640
person who replaced him might be less of

768
00:31:52,640 --> 00:31:53,400
a vivisector.

769
00:31:54,000 --> 00:31:55,180
In other words, if you want to stop

770
00:31:55,180 --> 00:31:58,680
vivisection, don't put vivisectors in charge of billions

771
00:31:58,680 --> 00:31:59,900
of dollars of funding.

772
00:32:00,700 --> 00:32:03,080
Has there been any progress made?

773
00:32:03,240 --> 00:32:04,860
We're in the 21st century.

774
00:32:05,180 --> 00:32:06,860
We have organs on a chip.

775
00:32:07,640 --> 00:32:10,880
I don't even understand why they want to

776
00:32:10,880 --> 00:32:14,300
remain in this mediaeval state of doing these

777
00:32:14,300 --> 00:32:18,200
backward experiments that are really 19th century.

778
00:32:18,200 --> 00:32:20,800
This is not the 21st century.

779
00:32:21,000 --> 00:32:22,340
I don't get it.

780
00:32:22,740 --> 00:32:25,480
I would just be ashamed more than anything

781
00:32:25,480 --> 00:32:25,880
else.

782
00:32:25,960 --> 00:32:28,180
I would be filled with shame that I

783
00:32:28,180 --> 00:32:31,100
lack the imagination or the intelligence to do

784
00:32:31,100 --> 00:32:32,300
smarter experiments.

785
00:32:33,380 --> 00:32:34,600
No question about it.

786
00:32:35,040 --> 00:32:37,060
No question about it.

787
00:32:37,200 --> 00:32:39,440
I mean, it's if you put Fox in

788
00:32:39,440 --> 00:32:41,100
charge of the henhouse, right?

789
00:32:41,300 --> 00:32:43,860
I mean, they're going to put vivisectors in

790
00:32:43,860 --> 00:32:44,480
charge of stuff.

791
00:32:45,140 --> 00:32:46,120
That's what they know.

792
00:32:46,480 --> 00:32:47,440
That's what they do.

793
00:32:48,080 --> 00:32:50,180
Why is it that every paper I see,

794
00:32:50,680 --> 00:32:53,220
every single one has the same so-called

795
00:32:53,220 --> 00:32:55,980
scientific paper from a vivisector, has the same

796
00:32:55,980 --> 00:32:56,500
conclusion?

797
00:32:57,080 --> 00:32:58,720
More research is necessary.

798
00:32:59,060 --> 00:33:01,020
Translation, more money is necessary.

799
00:33:01,980 --> 00:33:05,120
Well, follow the science is not what we

800
00:33:05,120 --> 00:33:05,500
do here.

801
00:33:06,200 --> 00:33:08,720
We follow the money, as the caller right

802
00:33:08,720 --> 00:33:12,280
before us so appropriately said, follow the money.

803
00:33:13,180 --> 00:33:14,360
That's what we do here.

804
00:33:14,740 --> 00:33:16,920
And there is progress, Jane.

805
00:33:17,500 --> 00:33:18,440
There is room.

806
00:33:18,600 --> 00:33:20,500
I'm more optimistic than I've ever been.

807
00:33:21,000 --> 00:33:22,660
I'm more optimistic than I've ever been because

808
00:33:22,660 --> 00:33:25,560
I think this organisation has reoriented the focus

809
00:33:25,560 --> 00:33:27,900
right back where it belongs, which is the

810
00:33:27,900 --> 00:33:28,140
money.

811
00:33:28,840 --> 00:33:30,760
Follow the darn money.

812
00:33:31,580 --> 00:33:35,140
At the NIH, in appropriations this year, we're

813
00:33:35,140 --> 00:33:40,860
working on language to hold them accountable, get

814
00:33:40,860 --> 00:33:43,980
more spending reports, hold them accountable for that

815
00:33:43,980 --> 00:33:44,260
money.

816
00:33:45,040 --> 00:33:46,040
We've got legislation.

817
00:33:47,140 --> 00:33:49,220
The PAW Act, I mentioned, the Preventing Animal

818
00:33:49,220 --> 00:33:49,520
Abuse.

819
00:33:49,520 --> 00:33:50,480
How is that doing?

820
00:33:50,900 --> 00:33:51,840
How is that doing?

821
00:33:52,480 --> 00:33:53,280
It's doing great.

822
00:33:53,820 --> 00:33:56,100
Well, I mean, we're working to pass it,

823
00:33:56,380 --> 00:33:57,920
but we just got it.

824
00:33:58,000 --> 00:34:02,080
We just introduced that, Nancy Mace and Congressman

825
00:34:02,080 --> 00:34:06,160
Moskowitz, but we're getting good bipartisan support, but

826
00:34:06,160 --> 00:34:07,179
there's more work to be done.

827
00:34:07,260 --> 00:34:08,100
We've got to pass the bill.

828
00:34:08,880 --> 00:34:11,480
And so we're working both to pass bills

829
00:34:11,480 --> 00:34:16,300
like that and also appropriations work, not just

830
00:34:16,300 --> 00:34:16,860
at the NIH.

831
00:34:16,980 --> 00:34:18,699
The NIH is the biggest, but at the

832
00:34:18,699 --> 00:34:20,260
VA, the Veterans Administration.

833
00:34:20,900 --> 00:34:22,380
We just cleaned out the lab.

834
00:34:22,500 --> 00:34:23,800
We cleaned out the dog labs.

835
00:34:23,860 --> 00:34:25,320
Then we cleaned out the cat labs and

836
00:34:25,320 --> 00:34:28,600
we're working to get insurance as well with

837
00:34:28,600 --> 00:34:31,639
appropriations language, which we passed back in March

838
00:34:31,639 --> 00:34:37,120
to mandate, to eliminate that the VA eliminates

839
00:34:37,120 --> 00:34:40,000
its dog, cat, and monkey tests, all of

840
00:34:40,000 --> 00:34:42,480
them, all of them by 2026.

841
00:34:42,639 --> 00:34:44,100
That had never happened before.

842
00:34:44,280 --> 00:34:46,560
Let me jump in and show this.

843
00:34:46,639 --> 00:34:49,199
US Secretary of Veterans Affairs.

844
00:34:49,860 --> 00:34:50,239
Okay.

845
00:34:50,860 --> 00:34:53,840
This is the guy in charge of Veterans

846
00:34:53,840 --> 00:34:57,160
Affairs and you have a famous case versus

847
00:34:57,160 --> 00:34:58,580
the Stokes Seven.

848
00:34:58,860 --> 00:34:59,360
Explain.

849
00:34:59,740 --> 00:35:00,260
Yeah.

850
00:35:00,920 --> 00:35:01,440
Yeah.

851
00:35:01,580 --> 00:35:04,500
So as we mentioned in the call earlier

852
00:35:04,500 --> 00:35:06,420
before, we started with the dogs.

853
00:35:06,900 --> 00:35:09,400
We started with the dogs and we won.

854
00:35:09,740 --> 00:35:11,660
We knocked out the dog testing at the

855
00:35:11,660 --> 00:35:12,620
VA in Los Angeles.

856
00:35:12,780 --> 00:35:13,860
We knocked it out in Cleveland.

857
00:35:14,060 --> 00:35:15,200
We knocked it out in Milwaukee.

858
00:35:15,340 --> 00:35:16,420
We knocked it out in Richmond.

859
00:35:16,660 --> 00:35:17,560
We annihilated it.

860
00:35:17,660 --> 00:35:18,460
We zeroed it out.

861
00:35:18,900 --> 00:35:20,300
Then we moved to the cats.

862
00:35:20,880 --> 00:35:22,660
We cleaned out their cat lab in Los

863
00:35:22,660 --> 00:35:23,040
Angeles.

864
00:35:23,360 --> 00:35:26,400
We cleaned out the cat lab in Cleveland.

865
00:35:26,640 --> 00:35:29,000
We cleaned out the cat lab in Louisville,

866
00:35:29,080 --> 00:35:30,140
Kentucky for the VA.

867
00:35:31,340 --> 00:35:34,440
So we had zeroed them out there too.

868
00:35:35,840 --> 00:35:41,420
Then last summer, our investigators did a Freedom

869
00:35:41,420 --> 00:35:44,120
of Information Act request and we exposed that

870
00:35:44,120 --> 00:35:47,700
VA Secretary McDonough, a White House cabinet member,

871
00:35:48,280 --> 00:35:52,080
had personally authorised another round, a new round.

872
00:35:52,200 --> 00:35:54,400
He wanted to bring back another round of

873
00:35:54,400 --> 00:35:57,280
painful testing on seven cats at the Cleveland

874
00:35:57,280 --> 00:35:59,560
lab, the Stokes, the name of the lab,

875
00:35:59,640 --> 00:36:01,960
the Stokes Veterans Lab.

876
00:36:03,120 --> 00:36:06,840
We waged a very, very hard fought battle

877
00:36:06,840 --> 00:36:08,260
over the last 12 months.

878
00:36:08,500 --> 00:36:13,240
We ran ads that reached 4 million pet

879
00:36:13,240 --> 00:36:14,500
owners and taxpayers.

880
00:36:15,720 --> 00:36:18,920
We hundreds and hundreds of thousands of emails

881
00:36:18,920 --> 00:36:20,820
and phone calls from coast to coast.

882
00:36:20,980 --> 00:36:23,800
People in both parties were pissed off about

883
00:36:23,800 --> 00:36:24,160
this.

884
00:36:24,700 --> 00:36:28,240
Republicans and Democrats united to send McDonough a

885
00:36:28,240 --> 00:36:30,640
message, do not bring this test back on

886
00:36:30,640 --> 00:36:31,400
the seven cats.

887
00:36:31,800 --> 00:36:33,080
These cats were going to be, they were

888
00:36:33,080 --> 00:36:34,040
risking paralysis.

889
00:36:34,480 --> 00:36:36,540
They were risking death, pain.

890
00:36:37,340 --> 00:36:39,740
You've shown some images from that cat lab,

891
00:36:39,820 --> 00:36:41,220
the little orange cat Copper.

892
00:36:42,520 --> 00:36:43,300
There he is.

893
00:36:43,640 --> 00:36:45,700
This poor cat was a victim at the

894
00:36:45,700 --> 00:36:46,320
Stokes lab.

895
00:36:47,860 --> 00:36:53,860
This cat underwent experiments that made him pee

896
00:36:53,860 --> 00:36:54,240
blood.

897
00:36:55,860 --> 00:36:58,700
They implanted devices in him via remote control.

898
00:36:59,080 --> 00:37:01,640
He urinated blood via remote control and they

899
00:37:01,640 --> 00:37:01,980
killed him.

900
00:37:02,240 --> 00:37:04,420
They ended his life, but we ended their

901
00:37:04,420 --> 00:37:04,680
money.

902
00:37:05,240 --> 00:37:07,140
We ended their lab and we got justice

903
00:37:07,140 --> 00:37:07,660
for Copper.

904
00:37:10,120 --> 00:37:12,060
We beat McDonough.

905
00:37:12,360 --> 00:37:15,280
We just announced victory and they admitted that

906
00:37:15,280 --> 00:37:19,140
they cancelled the protocol and it's done.

907
00:37:19,980 --> 00:37:21,960
Well, I got to say, yeah, not good

908
00:37:21,960 --> 00:37:23,520
as an understatement when it comes to these

909
00:37:23,520 --> 00:37:24,060
experiments.

910
00:37:24,920 --> 00:37:27,060
You are extraordinary.

911
00:37:27,740 --> 00:37:29,500
You're a tiny little organisation.

912
00:37:30,060 --> 00:37:31,560
You have very little overhead.

913
00:37:31,980 --> 00:37:36,200
I urge everybody support White Coat Waste.

914
00:37:36,480 --> 00:37:38,260
I have donated to White Coat Waste as

915
00:37:38,260 --> 00:37:41,560
an individual because I know the money goes

916
00:37:41,560 --> 00:37:43,600
right into this action.

917
00:37:44,300 --> 00:37:48,440
What you leverage with your pretty small organisation

918
00:37:48,440 --> 00:37:50,200
is absolutely extraordinary.

919
00:37:50,880 --> 00:37:55,480
So everybody get on whitecoatwaste.org and start

920
00:37:55,480 --> 00:37:58,120
donating because they can't do it alone and

921
00:37:58,120 --> 00:37:59,040
they need some funding.

922
00:37:59,540 --> 00:38:01,600
Now let me go back to the whole

923
00:38:01,600 --> 00:38:04,240
Wuhan thing because that's how you ended up

924
00:38:04,240 --> 00:38:08,500
basically making global news.

925
00:38:09,060 --> 00:38:15,020
You've broken down various experiments, but that puts

926
00:38:15,020 --> 00:38:16,700
you on the map as it were.

927
00:38:17,720 --> 00:38:23,020
So essentially, when this whole pandemic started, and

928
00:38:23,020 --> 00:38:25,500
I'll never forget, I was watching CNN and

929
00:38:25,500 --> 00:38:27,720
I saw a reporter actually show the wet

930
00:38:27,720 --> 00:38:30,360
market and they were walking through the wet

931
00:38:30,360 --> 00:38:30,700
market.

932
00:38:30,820 --> 00:38:32,200
It was a breaking news story.

933
00:38:32,780 --> 00:38:34,320
They think it started here.

934
00:38:35,440 --> 00:38:37,500
It seems like a pretty obvious thing.

935
00:38:37,620 --> 00:38:42,800
There's been other pandemics and zoonotic diseases that

936
00:38:42,800 --> 00:38:45,580
have started in other wet markets.

937
00:38:46,120 --> 00:38:47,940
And so I saw the images of that

938
00:38:47,940 --> 00:38:53,600
horrible wet market in Wuhan with all sorts

939
00:38:53,600 --> 00:38:58,700
of animals, domestic animals, live animals, dying animals,

940
00:38:58,920 --> 00:39:00,540
faeces and pus and blood.

941
00:39:00,720 --> 00:39:01,280
Of course.

942
00:39:02,460 --> 00:39:06,560
But then to everybody's shock and horror, oh,

943
00:39:06,660 --> 00:39:10,020
there's a lab also in Wuhan, China, where

944
00:39:10,020 --> 00:39:12,820
they're doing what they call gain of function

945
00:39:12,820 --> 00:39:13,540
experiments.

946
00:39:14,820 --> 00:39:17,840
Tell us about that and how you broke

947
00:39:17,840 --> 00:39:19,440
that story.

948
00:39:20,080 --> 00:39:20,540
Absolutely.

949
00:39:23,860 --> 00:39:26,900
Remember, right here, this little cat, she's not

950
00:39:26,900 --> 00:39:28,920
a little cat, but she's my cat, and

951
00:39:28,920 --> 00:39:31,740
Delilah here, and Petit, who's not with us.

952
00:39:32,420 --> 00:39:35,160
They were breeding specimens at the USDA to

953
00:39:35,160 --> 00:39:39,140
eat cats who were coming from those wet

954
00:39:39,140 --> 00:39:40,060
markets in China.

955
00:39:40,440 --> 00:39:44,400
Our government was forced feeding kittens in the

956
00:39:44,400 --> 00:39:49,280
lab, cannibalism experiments, in these disgusting, heinous, and

957
00:39:49,280 --> 00:39:51,000
wasteful toxoplasmosis tests.

958
00:39:51,660 --> 00:39:54,060
We knew about the wet markets in 2019.

959
00:39:54,520 --> 00:39:55,240
We exposed it.

960
00:39:55,320 --> 00:39:58,360
We knew that labs occasionally in China were

961
00:39:58,360 --> 00:40:03,200
even recycling spent lab animals and sending them

962
00:40:03,200 --> 00:40:04,160
to the wet markets.

963
00:40:04,300 --> 00:40:05,680
So there was even a connection between the

964
00:40:05,680 --> 00:40:05,980
two.

965
00:40:06,680 --> 00:40:10,780
And we knew, again, because our investigators immediately

966
00:40:10,780 --> 00:40:14,740
turned its focus to foreign animal labs after

967
00:40:14,740 --> 00:40:20,480
we saved Delilah, that the Wuhan Institute of

968
00:40:20,480 --> 00:40:24,320
Virology and Wuhan University, there were two Wuhan

969
00:40:24,320 --> 00:40:27,800
labs, as well as 27 other Chinese labs,

970
00:40:28,000 --> 00:40:30,060
were all on the NIH payroll.

971
00:40:30,860 --> 00:40:33,420
Well, you mentioned a moment in time in

972
00:40:33,420 --> 00:40:34,460
early 2020.

973
00:40:35,340 --> 00:40:39,300
In January of 2020, it wasn't even a

974
00:40:39,300 --> 00:40:39,840
pandemic yet.

975
00:40:39,860 --> 00:40:42,100
It was an epidemic in China, the local

976
00:40:42,100 --> 00:40:42,400
thing.

977
00:40:43,440 --> 00:40:45,440
Well, I was in the White House.

978
00:40:46,120 --> 00:40:50,480
Justin Goodman, our senior vice president, who has

979
00:40:50,480 --> 00:40:52,020
been on the show many times, he was

980
00:40:52,020 --> 00:40:52,700
with me.

981
00:40:53,020 --> 00:40:55,280
So was Louise Linton, an advisory board member.

982
00:40:57,540 --> 00:40:59,780
We were at the Trump White House at

983
00:40:59,780 --> 00:41:01,480
the time in January 2020, and we were

984
00:41:01,480 --> 00:41:03,380
there to do a meeting with them about

985
00:41:03,380 --> 00:41:05,600
the federal animal testing problem.

986
00:41:06,320 --> 00:41:07,720
And we were meeting with them about all

987
00:41:07,720 --> 00:41:10,160
the different things we work on, dogs, cats,

988
00:41:10,380 --> 00:41:11,260
monkeys, et cetera.

989
00:41:11,560 --> 00:41:15,240
But one of the issues on the table

990
00:41:15,240 --> 00:41:17,060
in that meeting we had with the Trump

991
00:41:17,060 --> 00:41:19,640
White House in January, two months before it

992
00:41:19,640 --> 00:41:23,040
was a pandemic, was about this lab in

993
00:41:23,040 --> 00:41:25,340
Wuhan and the other labs in China that

994
00:41:25,340 --> 00:41:27,060
the NIH was paying for.

995
00:41:27,780 --> 00:41:30,840
And we warned them and said, you see

996
00:41:30,840 --> 00:41:32,920
these news reports about Wuhan?

997
00:41:33,940 --> 00:41:35,220
Turns out it's on the payroll.

998
00:41:36,520 --> 00:41:38,500
Unfortunately, they didn't do anything at the time.

999
00:41:39,480 --> 00:41:41,900
And Justin and I were like, well, we've

1000
00:41:41,900 --> 00:41:43,140
got to get the word out about this.

1001
00:41:43,420 --> 00:41:44,380
This is like news.

1002
00:41:44,520 --> 00:41:46,200
I mean, people are getting sick.

1003
00:41:46,280 --> 00:41:47,580
It seems like it's going to come here

1004
00:41:47,580 --> 00:41:47,840
soon.

1005
00:41:49,020 --> 00:41:53,980
And in April of 2020, we fired the

1006
00:41:53,980 --> 00:41:55,080
shot heard around the world.

1007
00:41:55,840 --> 00:41:59,260
Over Easter Sunday of 2020, we put out

1008
00:41:59,260 --> 00:42:01,880
an investigation in the Daily Mail, with a

1009
00:42:01,880 --> 00:42:03,860
paraphrase in the headline here, but the US

1010
00:42:03,860 --> 00:42:07,360
government gives $3.7 million to Lab Week

1011
00:42:07,360 --> 00:42:07,640
Centre.

1012
00:42:08,480 --> 00:42:13,120
And that's how the world learned that we

1013
00:42:13,120 --> 00:42:15,320
paid for probably our own pandemic.

1014
00:42:16,280 --> 00:42:18,600
And it all comes back to animal testing.

1015
00:42:18,960 --> 00:42:20,480
It's all about animal testing.

1016
00:42:20,960 --> 00:42:26,100
Again, I believe that President Biden's FBI and

1017
00:42:26,100 --> 00:42:30,520
Department of Energy believe that that's where it

1018
00:42:30,520 --> 00:42:31,080
started from.

1019
00:42:31,240 --> 00:42:32,320
Not everybody believes that.

1020
00:42:32,640 --> 00:42:34,440
Most people in the country now do, not

1021
00:42:34,440 --> 00:42:34,800
everybody.

1022
00:42:35,460 --> 00:42:36,520
But look, it doesn't matter.

1023
00:42:36,680 --> 00:42:37,840
At the end of the day, like I

1024
00:42:37,840 --> 00:42:41,480
said, even if the Wuhan lab is innocent

1025
00:42:42,360 --> 00:42:45,340
of starting the pandemic, it's guilty of taxpayer

1026
00:42:45,340 --> 00:42:46,100
funded torture.

1027
00:42:46,760 --> 00:42:48,180
And that's why we got involved.

1028
00:42:48,660 --> 00:42:49,380
No other reason.

1029
00:42:49,960 --> 00:42:52,140
That's what we did, stop taxpayer funded animal

1030
00:42:52,140 --> 00:42:52,440
testing.

1031
00:42:52,500 --> 00:42:54,660
You would think that that would be a

1032
00:42:54,660 --> 00:42:55,540
wake up call.

1033
00:42:56,400 --> 00:42:59,340
You would think that it's just like with

1034
00:42:59,340 --> 00:43:01,200
climate change and animal agriculture.

1035
00:43:01,640 --> 00:43:04,360
You could make a very strong argument that

1036
00:43:04,360 --> 00:43:06,600
the US government, and this is a bipartisan

1037
00:43:06,600 --> 00:43:10,280
issue, doesn't matter what administration, it's just ongoing.

1038
00:43:10,600 --> 00:43:13,100
The Farm Bill goes for five years, and

1039
00:43:13,100 --> 00:43:14,800
they're negotiating it again.

1040
00:43:15,360 --> 00:43:18,020
They're subsidising the meat and dairy industry.

1041
00:43:18,020 --> 00:43:21,060
The average cheap burger that you get at

1042
00:43:21,060 --> 00:43:23,860
a fast food joint would cost so much

1043
00:43:23,860 --> 00:43:26,800
more if the US government didn't subsidise the

1044
00:43:26,800 --> 00:43:30,580
crops that these animals are fed, the animals

1045
00:43:30,580 --> 00:43:34,320
lost when there's hurricanes and storms and floods

1046
00:43:34,320 --> 00:43:37,700
and fires, the pandemics where the US government

1047
00:43:37,700 --> 00:43:42,900
subsidises just wiping, baking animals to death.

1048
00:43:43,780 --> 00:43:47,120
And yet they're talking about how they're fighting

1049
00:43:47,120 --> 00:43:52,380
fossil fuels while they're funding another leading cause

1050
00:43:52,380 --> 00:43:55,660
of climate change, which is animal agriculture.

1051
00:43:56,260 --> 00:43:58,520
So that's one side.

1052
00:43:59,080 --> 00:44:01,360
And then you have on the other side,

1053
00:44:01,840 --> 00:44:06,880
the government funding these labs that may very

1054
00:44:06,880 --> 00:44:09,100
well have been the source of the pandemic.

1055
00:44:09,760 --> 00:44:10,220
It's insanity.

1056
00:44:10,220 --> 00:44:10,320
Yeah.

1057
00:44:11,720 --> 00:44:14,440
You talk about absolutely insanity.

1058
00:44:14,700 --> 00:44:16,620
Stop the money, stop the madness.

1059
00:44:17,340 --> 00:44:19,100
That's our slogan for a reason.

1060
00:44:19,300 --> 00:44:20,040
It's madness.

1061
00:44:20,520 --> 00:44:22,160
Stop the money, stop the madness.

1062
00:44:23,720 --> 00:44:25,120
The fact that we might have even paid

1063
00:44:25,120 --> 00:44:27,960
for our own pandemic is bananas.

1064
00:44:29,060 --> 00:44:30,720
But to go back to you, you also

1065
00:44:30,720 --> 00:44:33,420
made another point about what else our government

1066
00:44:33,420 --> 00:44:33,980
is funding.

1067
00:44:35,260 --> 00:44:39,460
Well, Delilah's Lab, the USR Department of Agriculture.

1068
00:44:42,150 --> 00:44:44,090
I'll never forget when I found out that

1069
00:44:44,090 --> 00:44:44,890
they had a cat lab.

1070
00:44:45,070 --> 00:44:46,190
Justin Goodman called me.

1071
00:44:46,270 --> 00:44:48,410
I was in a concert with my parents

1072
00:44:48,410 --> 00:44:49,290
in New York City.

1073
00:44:49,510 --> 00:44:50,570
I had my phone on mute.

1074
00:44:50,750 --> 00:44:52,170
I was in Carnegie Hall and I was

1075
00:44:52,170 --> 00:44:53,730
listening to classical music.

1076
00:44:54,150 --> 00:44:58,010
And I came out and I saw like

1077
00:44:58,010 --> 00:44:59,950
15 urgent phone calls from Justin.

1078
00:44:59,950 --> 00:45:02,750
And I call him back and he's like,

1079
00:45:02,830 --> 00:45:03,750
you'll never believe this.

1080
00:45:04,150 --> 00:45:07,330
The US Department of Agriculture has a cat

1081
00:45:07,330 --> 00:45:07,730
lab.

1082
00:45:07,870 --> 00:45:10,010
And I go, say that again?

1083
00:45:10,350 --> 00:45:11,130
They have cats.

1084
00:45:12,770 --> 00:45:13,330
USDA?

1085
00:45:13,610 --> 00:45:14,130
Agriculture?

1086
00:45:14,330 --> 00:45:18,390
You mean like pigs, farm animals, right?

1087
00:45:18,610 --> 00:45:19,670
No, cats.

1088
00:45:19,930 --> 00:45:20,790
And I go, why?

1089
00:45:21,890 --> 00:45:24,690
Well, we had just gotten the Freedom of

1090
00:45:24,690 --> 00:45:25,990
Information Act request back.

1091
00:45:27,530 --> 00:45:31,890
And we learned from that investigation that they

1092
00:45:31,890 --> 00:45:35,690
were doing rotten meat experiments as a handout,

1093
00:45:35,810 --> 00:45:38,330
a corporate handout for the meat industry.

1094
00:45:38,910 --> 00:45:41,690
They were doing these rotten meat, feeding the

1095
00:45:41,690 --> 00:45:45,210
cats rotten meat, toxoplasmosis-infected meat, more government

1096
00:45:45,210 --> 00:45:45,730
waste.

1097
00:45:46,150 --> 00:45:49,650
And it was a corporate handout all along

1098
00:45:49,650 --> 00:45:51,670
that US taxpayers were funding.

1099
00:45:53,050 --> 00:45:54,850
Well, there's waste everywhere.

1100
00:45:55,390 --> 00:45:58,210
But that call I got from Justin that

1101
00:45:58,210 --> 00:46:01,930
day turned out to be more important than

1102
00:46:01,930 --> 00:46:03,090
I ever knew.

1103
00:46:03,910 --> 00:46:05,610
And I could have realised because if it

1104
00:46:05,610 --> 00:46:08,230
wasn't for that call, we wouldn't have dug

1105
00:46:08,230 --> 00:46:09,030
into the USDA.

1106
00:46:09,370 --> 00:46:10,570
If we didn't dig into the USDA, we

1107
00:46:10,570 --> 00:46:12,550
wouldn't have shut down the largest cat lab

1108
00:46:12,550 --> 00:46:15,030
in the United States federal government, save Delilah.

1109
00:46:15,250 --> 00:46:17,890
If we didn't shut that down, we would

1110
00:46:17,890 --> 00:46:21,670
never have exposed and uncovered that US taxpayers

1111
00:46:21,670 --> 00:46:23,230
funded the Wuhan lab.

1112
00:46:23,650 --> 00:46:26,010
If we hadn't done that campaign, we wouldn't

1113
00:46:26,010 --> 00:46:28,330
have exposed that the NIH was funding hundreds

1114
00:46:28,330 --> 00:46:31,250
and hundreds of other labs, spent $2 billion

1115
00:46:31,250 --> 00:46:32,690
all around the world.

1116
00:46:32,830 --> 00:46:34,270
If we hadn't done that, we wouldn't have

1117
00:46:34,270 --> 00:46:36,150
been able to expose and enclose the NIH

1118
00:46:36,150 --> 00:46:38,090
funding for cat labs in Russia, which we

1119
00:46:38,090 --> 00:46:38,870
successfully did.

1120
00:46:39,030 --> 00:46:41,490
We wouldn't have been able to pass the

1121
00:46:41,490 --> 00:46:44,850
first public policies to retire and release the

1122
00:46:44,850 --> 00:46:46,210
survivors in the federal government.

1123
00:46:46,750 --> 00:46:50,690
Just earlier this year, following my cat's passing,

1124
00:46:51,550 --> 00:46:53,910
we shut down an attempt by the NIH

1125
00:46:53,910 --> 00:46:57,130
to resurrect and rebuild the kitten slaughter house.

1126
00:46:57,310 --> 00:46:58,730
Five years later, they were trying to rebuild

1127
00:46:58,730 --> 00:46:59,690
it at the UC Davis.

1128
00:46:59,750 --> 00:47:01,310
We shut that one down too.

1129
00:47:01,510 --> 00:47:03,170
On what grounds?

1130
00:47:04,050 --> 00:47:05,030
On what grounds?

1131
00:47:05,730 --> 00:47:08,310
What does it prove?

1132
00:47:09,250 --> 00:47:10,090
Nothing, nothing.

1133
00:47:10,250 --> 00:47:12,370
They were doing those experiments, like I said,

1134
00:47:12,430 --> 00:47:14,110
for nearly 50 years.

1135
00:47:14,570 --> 00:47:16,190
Nothing to show for it, nothing at all.

1136
00:47:16,610 --> 00:47:19,010
Corporate handouts, taxpayer weight, nothing.

1137
00:47:19,310 --> 00:47:20,510
A lot of dead cats we got.

1138
00:47:21,250 --> 00:47:23,870
5,000 cats, dogs, and other animals in

1139
00:47:23,870 --> 00:47:25,210
that body count that were piled up.

1140
00:47:25,270 --> 00:47:26,510
Nothing to show for it, nothing.

1141
00:47:26,970 --> 00:47:28,510
Five decades of madness, and then they wanted

1142
00:47:28,510 --> 00:47:30,190
to rebuild it and resurrect it at the

1143
00:47:30,190 --> 00:47:31,730
University of California, Davis.

1144
00:47:33,490 --> 00:47:36,450
I just want to point out, we just

1145
00:47:36,450 --> 00:47:39,590
interviewed PETA the other day about their campaign

1146
00:47:39,590 --> 00:47:44,950
to stop a massive monkey lab that they're

1147
00:47:44,950 --> 00:47:46,830
trying to build in Georgia, in a little

1148
00:47:46,830 --> 00:47:47,770
town in Georgia.

1149
00:47:48,790 --> 00:47:53,170
The people of Bainbridge, Georgia have stood up

1150
00:47:53,170 --> 00:47:54,230
and said, hell no.

1151
00:47:54,330 --> 00:47:56,790
They filed lawsuits.

1152
00:47:57,450 --> 00:47:59,330
They want to bring in 30,000 monkeys.

1153
00:48:01,510 --> 00:48:04,190
It's just beyond comprehension, Anthony.

1154
00:48:04,890 --> 00:48:08,710
We're in the 21st century, and we're driving

1155
00:48:08,710 --> 00:48:12,790
some of these species into extinction, kidnapping them

1156
00:48:12,790 --> 00:48:13,630
from the wild.

1157
00:48:14,970 --> 00:48:19,910
I have to ask you, how are the

1158
00:48:19,910 --> 00:48:21,630
politicians in Congress reacting?

1159
00:48:21,770 --> 00:48:24,270
Because let's face it, most of the members

1160
00:48:24,270 --> 00:48:26,070
of Congress are just running scared.

1161
00:48:26,570 --> 00:48:28,350
They don't want to get involved in any

1162
00:48:28,350 --> 00:48:28,950
controversies.

1163
00:48:29,030 --> 00:48:30,330
I've experienced it myself.

1164
00:48:30,450 --> 00:48:31,730
You try to talk to them about an

1165
00:48:31,730 --> 00:48:33,370
issue and, oh, I got to run, I

1166
00:48:33,370 --> 00:48:33,770
got to run.

1167
00:48:34,030 --> 00:48:35,710
They just don't want to get pinned down

1168
00:48:35,710 --> 00:48:36,250
on anything.

1169
00:48:36,710 --> 00:48:38,770
How have you been able to get them

1170
00:48:38,770 --> 00:48:39,490
involved?

1171
00:48:39,710 --> 00:48:42,550
Because a lot of them, they just want

1172
00:48:42,550 --> 00:48:44,790
to get reelected, and they just want to

1173
00:48:44,790 --> 00:48:46,730
stay as far away from stuff like this

1174
00:48:46,730 --> 00:48:47,350
as possible.

1175
00:48:48,070 --> 00:48:48,190
Yeah.

1176
00:48:48,870 --> 00:48:51,150
Look, I had a head start in that.

1177
00:48:51,430 --> 00:48:55,330
Again, I went into my professional training in

1178
00:48:55,330 --> 00:48:57,830
my former life before I got ...

1179
00:48:57,830 --> 00:48:59,630
I learned the secret sauce.

1180
00:48:59,870 --> 00:49:01,310
I learned how Washington works.

1181
00:49:02,730 --> 00:49:05,170
Remember, I went into the professional campaign business

1182
00:49:05,170 --> 00:49:05,750
for a reason.

1183
00:49:05,930 --> 00:49:08,890
I wanted to learn how the system works,

1184
00:49:09,170 --> 00:49:15,580
and I wanted to learn what messages resonated.

1185
00:49:16,080 --> 00:49:18,820
I was also concerned when I started White

1186
00:49:18,820 --> 00:49:19,260
Coat Waste.

1187
00:49:20,480 --> 00:49:21,120
Let's be honest.

1188
00:49:21,780 --> 00:49:25,540
It wasn't a bipartisan effort, the effort to

1189
00:49:25,540 --> 00:49:26,780
battle to end animal testing.

1190
00:49:26,880 --> 00:49:28,440
Animal testing is an old issue in this

1191
00:49:28,440 --> 00:49:28,760
country.

1192
00:49:28,880 --> 00:49:30,180
It's been going on for many years.

1193
00:49:30,320 --> 00:49:31,840
In fact, Jane, it's been going on since

1194
00:49:31,840 --> 00:49:33,700
the reconstruction after the Civil War.

1195
00:49:34,240 --> 00:49:35,400
That's a long time.

1196
00:49:36,320 --> 00:49:38,880
But I wasn't too happy with the state

1197
00:49:38,880 --> 00:49:40,120
of the campaigns we were running.

1198
00:49:40,360 --> 00:49:42,040
They didn't look very bipartisan to me.

1199
00:49:42,080 --> 00:49:42,760
Let's be honest.

1200
00:49:43,060 --> 00:49:45,520
They were dominated by one side, and there

1201
00:49:45,520 --> 00:49:46,440
was no reason for that.

1202
00:49:46,800 --> 00:49:47,980
Power comes from the centre.

1203
00:49:48,180 --> 00:49:49,240
It doesn't come from the right.

1204
00:49:49,340 --> 00:49:50,240
It doesn't come from the left.

1205
00:49:50,320 --> 00:49:51,780
If you want to make impact in this

1206
00:49:51,780 --> 00:49:54,840
country on any issue at all, that's my

1207
00:49:54,840 --> 00:49:56,840
life's work, animal testing, one issue.

1208
00:49:57,720 --> 00:49:58,820
But if you want to make an impact,

1209
00:49:58,960 --> 00:50:01,560
you better find a way to recalibrate the

1210
00:50:01,560 --> 00:50:03,640
issue to the centre, to the 50-yard

1211
00:50:03,640 --> 00:50:04,080
line.

1212
00:50:04,220 --> 00:50:07,560
That means getting Democrats and Republicans, both sides.

1213
00:50:08,040 --> 00:50:09,520
That's how winning is done.

1214
00:50:09,640 --> 00:50:12,120
It's not done with one party, because if

1215
00:50:12,120 --> 00:50:13,940
you only got one party working with you,

1216
00:50:14,420 --> 00:50:16,160
good luck when the political winds blow.

1217
00:50:16,340 --> 00:50:17,860
I have no idea what's going to happen

1218
00:50:17,860 --> 00:50:18,600
in Washington.

1219
00:50:18,860 --> 00:50:20,720
Let me try to say this.

1220
00:50:20,720 --> 00:50:20,980
Yes.

1221
00:50:21,600 --> 00:50:25,860
Leaving electoral politics aside, I think you were

1222
00:50:25,860 --> 00:50:31,340
extremely clever in appealing to the traditional Republican

1223
00:50:31,340 --> 00:50:37,480
argument, which is reduce government spending and wasteful

1224
00:50:37,480 --> 00:50:38,320
government spending.

1225
00:50:38,440 --> 00:50:39,800
A lot of times it has to do

1226
00:50:39,800 --> 00:50:43,280
with other issues, but that is a mantra

1227
00:50:43,280 --> 00:50:45,400
and a theme, and you went in there

1228
00:50:45,400 --> 00:50:46,100
and used that.

1229
00:50:46,260 --> 00:50:47,080
Tell us about that.

1230
00:50:47,080 --> 00:50:47,960
Absolutely.

1231
00:50:49,220 --> 00:50:50,960
I wanted to get both sides.

1232
00:50:51,240 --> 00:50:53,900
I don't care.

1233
00:50:54,260 --> 00:50:56,520
We don't care as an organisation why members

1234
00:50:56,520 --> 00:51:01,140
of Congress shut down cat labs like hers.

1235
00:51:01,640 --> 00:51:02,300
I don't care.

1236
00:51:02,420 --> 00:51:04,520
I don't care if they love cats.

1237
00:51:05,780 --> 00:51:08,620
I would prefer it if they loved cats.

1238
00:51:08,780 --> 00:51:11,520
I got into this issue myself because I

1239
00:51:11,520 --> 00:51:12,940
didn't like animal abuse.

1240
00:51:13,180 --> 00:51:15,040
Remember, when I was 17 years old, I

1241
00:51:15,040 --> 00:51:17,700
didn't know about taxpayer funding, and I definitely

1242
00:51:17,700 --> 00:51:21,540
wasn't paying taxes at 17, income taxes, that

1243
00:51:21,540 --> 00:51:21,940
kind of thing.

1244
00:51:22,740 --> 00:51:24,500
Animal abuse is what got me into it.

1245
00:51:24,700 --> 00:51:28,080
Animal abuse is my motivation, but at the

1246
00:51:28,080 --> 00:51:32,070
end of the day, impact is more important

1247
00:51:32,070 --> 00:51:32,910
than intent.

1248
00:51:33,830 --> 00:51:37,330
Animals care about winning, and if I can

1249
00:51:37,330 --> 00:51:40,070
get Republicans or Democrats to do the right

1250
00:51:40,070 --> 00:51:42,290
thing, who cares why?

1251
00:51:42,790 --> 00:51:43,110
Who cares?

1252
00:51:43,710 --> 00:51:44,350
That's what it's about.

1253
00:51:44,430 --> 00:51:44,850
I agree, but how did you do it?

1254
00:51:44,990 --> 00:51:46,030
How did you do it?

1255
00:51:47,050 --> 00:51:48,710
Well, the answer is I did my homework.

1256
00:51:50,330 --> 00:51:54,150
Before White Coat Waste was a full-time

1257
00:51:54,150 --> 00:51:56,010
organisation, I spent a year on my own,

1258
00:51:56,110 --> 00:52:01,810
just lunch breaks at work, weekends, nights, putting

1259
00:52:01,810 --> 00:52:04,470
in an extraordinary amount of time doing my

1260
00:52:04,470 --> 00:52:04,770
homework.

1261
00:52:05,450 --> 00:52:07,890
I looked at public opinion polling.

1262
00:52:08,110 --> 00:52:12,910
I studied the issue, and I looked at

1263
00:52:12,910 --> 00:52:16,390
the arguments and the polling and the political

1264
00:52:16,390 --> 00:52:18,130
polling and the public opinion polling.

1265
00:52:18,490 --> 00:52:22,610
What motivates people to move their opinion on

1266
00:52:22,610 --> 00:52:23,130
this issue?

1267
00:52:23,910 --> 00:52:26,350
I also realised that, again, if I can

1268
00:52:26,350 --> 00:52:29,550
move them on the wasteful government spending message,

1269
00:52:30,230 --> 00:52:31,850
not only am I going to get them

1270
00:52:31,850 --> 00:52:34,330
to vote the right way in Congress and

1271
00:52:34,330 --> 00:52:36,990
build a new coalition that's, again, at the

1272
00:52:36,990 --> 00:52:39,250
50-yard line right down the middle, D's

1273
00:52:39,250 --> 00:52:41,370
and R's, but at the same time, I

1274
00:52:41,370 --> 00:52:44,090
would deprive the enemy of a vital source

1275
00:52:44,090 --> 00:52:46,770
of money, a vital source of funding.

1276
00:52:47,750 --> 00:52:50,870
When the money is gone, the vivisectors are

1277
00:52:50,870 --> 00:52:51,350
gone, too.

1278
00:52:52,550 --> 00:52:55,430
I realised we were onto something with this,

1279
00:52:55,610 --> 00:52:57,130
and that's how it happened.

1280
00:52:57,970 --> 00:52:59,210
Cut the waste.

1281
00:52:59,350 --> 00:53:00,270
I love it.

1282
00:53:00,950 --> 00:53:03,910
Again, very happy to report that we've already

1283
00:53:03,910 --> 00:53:07,670
gotten a donation from Nilo Farr, who said

1284
00:53:07,670 --> 00:53:08,690
she's donating.

1285
00:53:08,890 --> 00:53:12,090
We urge everybody, if you're disgusted, so many

1286
00:53:12,090 --> 00:53:16,030
people say, I'm disgusted by this, visit whitecoatwaste

1287
00:53:16,030 --> 00:53:16,530
.org.

1288
00:53:16,550 --> 00:53:18,930
Even if you're a $5 a month monthly

1289
00:53:18,930 --> 00:53:23,050
donor, every little bit adds up.

1290
00:53:23,430 --> 00:53:24,850
How do I know that?

1291
00:53:24,950 --> 00:53:28,090
Because I also run my own nonprofit, Unshamed

1292
00:53:28,090 --> 00:53:32,050
TV, which is a 501c3 nonprofit.

1293
00:53:32,370 --> 00:53:33,550
I do not take a salary.

1294
00:53:33,830 --> 00:53:35,670
We are mostly volunteer run.

1295
00:53:36,450 --> 00:53:38,510
We also need your help.

1296
00:53:39,130 --> 00:53:43,410
I wanted to say that what our mission

1297
00:53:43,410 --> 00:53:46,430
is, is to cover stories that are not

1298
00:53:46,430 --> 00:53:48,530
getting mainstream media coverage.

1299
00:53:49,070 --> 00:53:50,850
Now, you broke through, Anthony.

1300
00:53:51,490 --> 00:53:53,910
You took the biggest story of our time,

1301
00:53:54,010 --> 00:53:56,690
the pandemic, and connected it to animal abuse,

1302
00:53:56,830 --> 00:53:58,410
and you made global headlines.

1303
00:53:59,550 --> 00:54:00,110
Unbelievable.

1304
00:54:01,310 --> 00:54:02,990
Fantastic work.

1305
00:54:03,650 --> 00:54:05,530
But so many of these other stories, and

1306
00:54:05,530 --> 00:54:07,710
people are even asking, why isn't this a

1307
00:54:07,710 --> 00:54:08,390
bigger story?

1308
00:54:08,530 --> 00:54:11,550
A lot of the smaller things, the big

1309
00:54:11,550 --> 00:54:13,470
stories that you've done in terms of shutting

1310
00:54:13,470 --> 00:54:17,190
down smaller labs or other labs, they're not

1311
00:54:17,190 --> 00:54:18,070
getting the headlines.

1312
00:54:18,230 --> 00:54:20,490
And that's why we cover that stuff.

1313
00:54:20,730 --> 00:54:24,030
So I also hope that you support Unshamed

1314
00:54:24,030 --> 00:54:24,410
TV.

1315
00:54:24,950 --> 00:54:26,930
And to that end, let me tell you

1316
00:54:26,930 --> 00:54:30,590
just a little bit about Unshamed TV and

1317
00:54:30,590 --> 00:54:32,930
the work that we do.

1318
00:54:33,270 --> 00:54:34,970
So it's a vegan Netflix.

1319
00:54:35,270 --> 00:54:35,510
Okay.

1320
00:54:35,510 --> 00:54:37,150
That's the craziest thing I've ever heard.

1321
00:54:37,170 --> 00:54:38,450
I love Unshamed TV.

1322
00:54:38,750 --> 00:54:39,310
Unshamed.

1323
00:54:39,570 --> 00:54:40,410
Unshamed TV.

1324
00:54:40,590 --> 00:54:41,390
Your life will change.

1325
00:54:41,390 --> 00:54:42,590
It's just that easy.

1326
00:54:43,070 --> 00:54:45,390
Unshamed TV has all sorts of content for

1327
00:54:45,390 --> 00:54:45,890
everybody.

1328
00:54:46,290 --> 00:54:48,330
Unshamed TV changed my life.

1329
00:54:48,690 --> 00:54:51,450
Unshamed TV is crushing it.

1330
00:54:51,550 --> 00:54:53,110
I love Unshamed TV.

1331
00:54:53,390 --> 00:54:55,130
Unshamed TV is my go-to.

1332
00:54:55,490 --> 00:54:56,230
Unshamed TV.

1333
00:54:56,770 --> 00:54:57,210
Who knew?

1334
00:54:57,730 --> 00:54:59,170
Unshamed, baby.

1335
00:54:59,550 --> 00:54:59,650
Yeah.

1336
00:55:06,350 --> 00:55:10,890
And Nila Farsh said she donated $500 to

1337
00:55:10,890 --> 00:55:13,030
white coat waste just now.

1338
00:55:13,410 --> 00:55:14,810
Absolutely amazing.

1339
00:55:15,170 --> 00:55:17,210
I want to thank you, Anthony.

1340
00:55:17,550 --> 00:55:22,550
You are doing incredible work, surgical strikes on

1341
00:55:22,550 --> 00:55:30,810
this completely pathetic, unnecessary, wasteful, cruel, morally bankrupt

1342
00:55:30,810 --> 00:55:31,550
industry.

1343
00:55:32,170 --> 00:55:33,910
Together we can end it.

1344
00:55:34,210 --> 00:55:39,230
Everybody, please visit white coat waste, get involved.

1345
00:55:39,630 --> 00:55:42,470
And I will see you next time right

1346
00:55:42,470 --> 00:55:43,990
here on Unshamed.