Equal parts rumination, observation and meditation, HERD challenges us…
The Ghosts In Our Machine
- Description
- Reviews
- Citation
- Cataloging
- Transcript
With the exception of our companion animals and a few wild and stray species within our urban environments, we experience animals daily only as the food, clothing, animal-tested goods and entertainment we make of them. This moral dilemma is often hidden from our view.
This multi-award winning documentary gently removes our blinders by illuminating the lives of individual animals living within and rescued from the machine of our modern world. Through the heart and photographic lens of acclaimed photographer Jo-Anne McArthur, we become intimately familiar with a cast of non-human animals. The film follows Jo-Anne over the course of a year as she photographs animal stories in North America and in Europe. Each story is a window into global animal industries: Food, Fashion, Entertainment and Research. THE GHOSTS IN OUR MACHINE charts McArthur's efforts to bring wider attention to a topic that most of humankind strives hard to avoid. Are non-human animals property to be owned and used, or are they sentient beings deserving of rights?
'This groundbreaking film is at once profoundly moving, utterly stilling, and one of the most educational exposes of how we use and abuse other animals as if their lives don't matter even to them, as if they're ghosts who really don't exist and whose lives are valued only if they can be useful to us. By portraying animals as individuals this film provokes us to move into a future that does not rely upon reprehensibly exploiting them for our own ends. We suffer the indignities to which we subject animals and when we treat them better it's a win-win situation for everyone.' Marc Bekoff, Professor Emeritus of Ecology and Evolutionary Biology, University of Colorado, Author, The Emotional Lives of Animals and Why Dogs Hump and Bees Get Depressed: The Fascinating Science of Animal Intelligence, Emotions, Friendship, and Conservation
'No words can capture the importance of Liz Marshall's film or the mix of sadness and inspiration it conveys. Jo-Anne McArthur is the film's main focus. Through her global photographic lens, she maps both the agony and the ecstasy of the plight of other animals, laboring tirelessly to catch them in the act of being who they are. ' Tom Regan, Professor Emeritus of Philosophy, North Carolina State University, President of The Culture and Animals Foundation, Author of Empty Cages: Facing the Challenge of Animal Rights
'The Ghosts in Our Machine highlights the courageous work and affecting photographs of an intrepid advocate for other animals. This extraordinary documentary both reveals the personhood and beauty of other animals and exposes the profit-driven horrors inflicted upon them - by the billions. I highly recommend this important film for educators to supplement their discussions of the oppression of other animals.' David Nibert, Professor of Sociology, Wittenberg University, Author, Animal Oppression and Human Violence: Domesecration, Capitalism and Global Conflict
'I was pleasantly surprised by the soft touch of The Ghosts In Our Machine, having seen too many hard hitting documentaries about animal abuse. In an educational setting, this film presents a great opportunity to explore the existence of wrongs being inflicted upon animals by humans in a variety of settings. This is a powerful film for understanding the horrible conditions in which some animals are forced to exist - the filmmaking team's images reach immediately and deeply into your consciousness. The truth is revealed in the eyes of those caged.' David Favre, Professor of Property and Animal Law, Michigan State University, Author of Animal Law: Welfare, Interest, and Rights
'Ghosts in Our Machine is an innovative approach to the vexing problems of animal exploitation. It chronicles one young woman's journey as she tries to get her photographs of animal abuse published, and captures the heartbreak of public indifference. Although it does not shy away from very difficult images of tortured animals, the film invites the viewer to see these pictures and stories through the lens of the photographers struggle; this viewpoint renders this documentary less disturbing in many ways than other animal rights videos. As such, it may be more appropriate for high school and college classrooms than other materials.' Kathy Rudy, Professor of Women's Studies, Duke University, Author, Loving Animals: Toward a New Animal Advocacy
'McArthur's stark images speak louder than words...Arresting...An emotionally powerful film for mature audiences...for college age and adult viewers who are in a position to bring about positive change in animal use industries.' Faith Brynie, Science Books and Films
'Haunting expose...The Ghosts in Our Machine shines a disturbing spotlight on the inhumane treatment of animals, revealing sad situations that are often hidden from any sort of regulation or investigation. Highly recommended.' F. Gardner, Video Librarian
'Photographer Jo-Anne McArthur has a mission: to expose the cruel treatment of animals, whether for human adornment, entertainment, or consumption...Undeniable moving...Would spark discussions in ethics and animal welfare issues.' Maggie Knapp, Trinity Valley School, School Library Journal
'Incredible and forward looking film...The Ghosts In Our Machine invites us to reflect on the attitudes and norms of our so-called exceptional contemporary culture as we meet individual and named animal beings - cows, turkeys, dolphins, chimpanzees - whose pain, suffering, and death are a major part of why our species makes claims of superiority and domination over other animals...[This is] a very important move in the right direction.' Marc Bekoff, Psychology Today
'A multiple award-winning documentary about how humans use animals - sometimes with careless cruelty...Dark, thought-provoking, and challenging the common view of animals purely as property, The Ghosts In Our Machine is highly recommended.' The Midwest Book Review
'A quieter, more reflective film than some of its predecessors...Ghosts takes an almost arthouse approach, resulting in a film that's more a meditation on suffering and the relationship between humans and other species, than an angry, didactic diatribe...It's a shockingly intimate sequence, and ultimately more powerful than a dozen shots of bloody pelts and butchered corpses.' Rebecca Hawkes, The Telegraph
Citation
Main credits
Marshall, Liz (film director)
Marshall, Liz (film producer)
Marshall, Liz (screenwriter)
Marshall, Liz (cinematographer)
Beveridge, Nina (film producer)
McArthur, Jo-Anne (photographer)
Other credits
Edited by Roland Schlimme and Roderick Deogrades; cinematographers: John Price, Iris Ng, Nick de Pencier, Liz Marshall; original music score, Bob Wiseman.
Distributor subjects
Activism; Animal Behavior/Communication; Animal Ethics; Animal Rights; Anthropology; Biology; Business Practices; Consumerism; Critical Animal Studies; Ecology; Economics; Environment; Ethics; Law; Media Studies; Philosophy; Photography; Religion; Sociology; Veterinary Science; Wildlife; Women and GenderKeywords
WEBVTT
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JONATHAN BALCOMBE:
The question is,
00:00:49.600 --> 00:00:51.899
morality as it relates to
the human animal relationship
00:00:51.900 --> 00:00:53.932
is a huge question.
00:00:53.933 --> 00:00:56.765
It\'s the next big hurdle
of social moral development
00:00:56.766 --> 00:00:59.799
that humans need to cross.
00:00:59.800 --> 00:01:04.032
I say next because
it\'s already underway.
00:01:04.033 --> 00:01:06.332
We\'re becoming much more
aware of animal [fades out].
00:01:06.333 --> 00:01:08.065
DR. LORI MARINO: not supported
by any of the data.
00:01:08.066 --> 00:01:10.365
The fact is that all
animals are sentient
00:01:10.366 --> 00:01:12.699
and humans are animals.
00:01:12.700 --> 00:01:19.032
And we share the basic
property of emotions,
00:01:19.033 --> 00:01:22.632
pleasure and pain
with other animals.
00:01:22.633 --> 00:01:25.299
This is the basic
packet of...[fades out]
00:01:25.300 --> 00:01:27.132
BALCOMBE: that
spectrum of experience
00:01:27.133 --> 00:01:28.699
of what we call sentience.
00:01:28.700 --> 00:01:32.332
Sentience means the
capacity to feel.
00:01:32.333 --> 00:01:36.165
Really, it refers to a
whole spectrum of feelings.
00:01:36.166 --> 00:01:38.299
From the agony of the
worst sorts of pain
00:01:38.300 --> 00:01:42.365
to the ecstasy of the best
sorts of pleasure [fades out].
00:01:42.366 --> 00:01:44.165
MARINO:
The science is there
00:01:44.166 --> 00:01:46.965
and it is growing by the minute.
00:01:46.966 --> 00:01:49.899
And we are deliberately
ignoring it
00:01:49.900 --> 00:01:53.699
because it is inconvenient
to recognize it.
00:01:53.700 --> 00:01:57.299
Sentience is a concept
that... [fades out]
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DR. TEMPLE GRANDIN: Animals
definitely have emotions.
00:01:59.666 --> 00:02:01.732
But that doesn\'t mean
that they\'re people.
00:02:01.733 --> 00:02:03.432
There\'s one big
thing in the brain
00:02:03.433 --> 00:02:05.732
that separates
people from animals,
00:02:05.733 --> 00:02:07.565
the size of the cortex.
00:02:07.566 --> 00:02:10.899
We\'ve got raw computer power
that animals don\'t have.
00:02:10.900 --> 00:02:13.199
Animals are not gonna
fly to the moon.
00:02:13.200 --> 00:02:16.299
Intellect is what separates
people from animals,
00:02:16.300 --> 00:02:17.933
not emotion.
00:02:22.733 --> 00:02:25.132
MARINO: It really is the
solution to all our ills.
00:02:25.133 --> 00:02:28.132
Someone once said that
animals are another nation.
00:02:28.133 --> 00:02:31.265
They\'re not aliens,
they\'re not property, uh,
00:02:31.266 --> 00:02:33.199
they\'re not dangers,
00:02:33.200 --> 00:02:37.465
but rather they\'re other beings
with whom we share life.
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Who have as vested an interest
in their own lives as we do.
00:02:44.400 --> 00:02:47.299
All we need to do
is make certain
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that we don\'t become
the plague, the vermin,
00:02:50.866 --> 00:02:52.732
that takes it all over
00:02:52.733 --> 00:02:56.099
but rather make sure that
there\'s always room for them.
00:02:56.100 --> 00:02:57.799
Because without them,
00:02:57.800 --> 00:02:59.966
it would be one hell
of a lonely place.
00:03:40.100 --> 00:03:42.165
JO-ANNE: I feel like
I\'m a war photographer
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and I\'m photographing history
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and I\'m photographing
changes in history right now,
00:03:47.300 --> 00:03:49.180
in terms of animal rights
and where it\'s going.
00:03:57.666 --> 00:04:05.666
[howling]
00:04:09.266 --> 00:04:12.032
Right in the corner there.
00:04:12.033 --> 00:04:14.499
[shutter clicking]
00:04:14.500 --> 00:04:21.699
[howling]
00:04:21.700 --> 00:04:25.365
She\'s such a good mom.
00:04:25.366 --> 00:04:30.099
Next cage.
00:04:30.100 --> 00:04:31.899
She needs water.
00:04:31.900 --> 00:04:34.532
I wonder how long
she\'s been without.
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[howling]
00:04:41.100 --> 00:04:42.866
[quiet growl]
00:04:49.733 --> 00:04:51.100
[quiet growl]
00:05:00.833 --> 00:05:03.565
JO-ANNE: Leaving is always
the hardest thing.
00:05:03.566 --> 00:05:07.832
And leaving is the
reason that I\'m haunted,
00:05:07.833 --> 00:05:10.932
I\'m closing the door as
I leave this factory farm
00:05:10.933 --> 00:05:13.999
or this fur farm,
or this slaughterhouse,
00:05:14.000 --> 00:05:16.400
I\'m closing the door
and leaving them behind.
00:05:20.600 --> 00:05:23.566
Leaving\'s the hardest
part of my work.
00:05:48.833 --> 00:05:51.899
JO-ANNE: What it is is an
emergency for these animals,
00:05:51.900 --> 00:05:55.565
and the activist
side of me came first
00:05:55.566 --> 00:05:58.065
when I realized that my photos
were far more effective
00:05:58.066 --> 00:06:01.165
and got out there much quicker
when I worked with campaigns.
00:06:01.166 --> 00:06:03.632
So for example, when I shot
the fur farms in Sweden,
00:06:03.633 --> 00:06:06.499
hundreds of thousands of
people saw those photos
00:06:06.500 --> 00:06:09.132
because there was a
big campaign happening.
00:06:09.133 --> 00:06:14.065
I just came back from Laos
and Vietnam, Cambodia,
00:06:14.066 --> 00:06:15.532
so I can show you
a few of the photos
00:06:15.533 --> 00:06:17.013
and I think you\'ve
seen some of them.
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So this is where they\'re kept,
00:06:20.533 --> 00:06:24.565
right before they\'re heading-
00:06:24.566 --> 00:06:27.232
you know, being
shipped to China.
00:06:27.233 --> 00:06:30.232
This is a typical facility.
00:06:30.233 --> 00:06:32.299
When people think
about animals in labs,
00:06:32.300 --> 00:06:34.465
they think about animals
in a cage in a lab.
00:06:34.466 --> 00:06:36.299
But their history before that
00:06:36.300 --> 00:06:39.632
and the way that they\'re
raised is a secret.
00:06:39.633 --> 00:06:43.032
So these are monkeys
that are wild-caught,
00:06:43.033 --> 00:06:45.999
often in Cambodia and
raised in Laos, in Vietnam,
00:06:46.000 --> 00:06:48.832
but it involves
American companies
00:06:48.833 --> 00:06:51.732
and European companies who
are buying these monkeys
00:06:51.733 --> 00:06:55.165
and that\'s why we want this
to be a story here as well.
00:06:55.166 --> 00:06:57.299
MARCEL: Yeah I don\'t know,
I... I don\'t know.
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I think this is so powerful.
00:07:02.600 --> 00:07:05.132
That... that\'s disturbing.
00:07:05.133 --> 00:07:06.965
JO-ANNE:
It\'s really disturbing.
00:07:06.966 --> 00:07:10.365
They\'re a commodity, they\'re
not really worth much,
00:07:10.366 --> 00:07:12.265
and that\'s why they don\'t
care about the conditions
00:07:12.266 --> 00:07:13.965
so they don\'t feed
them very much.
00:07:13.966 --> 00:07:15.265
They\'re just, you know,
00:07:15.266 --> 00:07:17.032
the bare minimum
to keep them alive.
00:07:17.033 --> 00:07:18.632
MARCEL: Oh my God, look how
he\'s holding the monkey.
00:07:18.633 --> 00:07:20.432
That\'s pretty sad.
00:07:20.433 --> 00:07:21.865
LORI: And you see,
just bringing that up,
00:07:21.866 --> 00:07:23.599
you see the conflict here
00:07:23.600 --> 00:07:26.732
because these images
are so difficult.
00:07:26.733 --> 00:07:30.465
Consumer magazines are
not going to publish that.
00:07:30.466 --> 00:07:32.799
It\'s so potent though.
I understand.
00:07:32.800 --> 00:07:34.199
I know.
I know.
00:07:34.200 --> 00:07:35.632
It\'s such potent-
00:07:35.633 --> 00:07:37.132
MARCEL: But this is what
we always talked about -
00:07:37.133 --> 00:07:40.065
And these issues
are so important.
00:07:40.066 --> 00:07:42.432
MARCEL: We pick up stories
from photographers, you know,
00:07:42.433 --> 00:07:45.399
that have social
impact, you know,
00:07:45.400 --> 00:07:47.265
around the world because
we care about it.
00:07:47.266 --> 00:07:49.699
But it doesn\'t mean-what
we care about doesn\'t mean
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it\'s going to get
published tomorrow
00:07:51.233 --> 00:07:52.532
or the day after tomorrow.
00:07:52.533 --> 00:07:54.899
And the less graphic
it is, I mean,
00:07:54.900 --> 00:07:56.965
this is still like a PG society
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for a lot of magazines
here in the US.
00:07:59.066 --> 00:08:01.999
PG-13, you know?
00:08:02.000 --> 00:08:03.999
You know?
00:08:04.000 --> 00:08:05.332
Hm.
00:08:05.333 --> 00:08:07.499
Do you sleep well at night?
00:08:07.500 --> 00:08:09.132
JO-ANNE:
I have PTSD.
00:08:09.133 --> 00:08:10.499
Okay.
00:08:10.500 --> 00:08:12.865
Yeah, no I have
a lot of nightmares.
00:08:12.866 --> 00:08:14.799
I would imagine.
00:08:14.800 --> 00:08:17.432
No, I\'m trying to
take care of that.
00:08:17.433 --> 00:08:19.165
I totally relate to that.
00:08:19.166 --> 00:08:21.299
I mean, we have war
photographers that come in
00:08:21.300 --> 00:08:25.365
and they just crash
because it\'s just-
00:08:25.366 --> 00:08:27.299
LORI: Well, and like you said-
00:08:27.300 --> 00:08:29.332
when you\'re there, you\'re
in the crisis zone.
00:08:29.333 --> 00:08:31.265
JO-ANNE: The adrenaline
is insane.
00:08:31.266 --> 00:08:33.432
And to witness so
many emergencies,
00:08:33.433 --> 00:08:36.199
like going to a factory farm
00:08:36.200 --> 00:08:38.532
where there\'s 40,000
pigs suffering.
00:08:38.533 --> 00:08:41.532
And then also when you\'re
watching an animal
00:08:41.533 --> 00:08:45.632
being led to slaughter, and
being with them as they die.
00:08:45.633 --> 00:08:48.132
I\'m not sure what to say about
it, it\'s just what I do.
00:08:48.133 --> 00:08:49.332
And it would-
00:08:49.333 --> 00:08:50.999
MARCEL: Well, it\'s important.
00:08:51.000 --> 00:08:52.432
You know, and unfortunately
I wish every magazine
00:08:52.433 --> 00:08:54.265
would write about it everyday
00:08:54.266 --> 00:08:56.432
but it\'s not going to be the
case, I can tell you that.
00:08:56.433 --> 00:08:59.965
But what we can tell you
is I think all three of us
00:08:59.966 --> 00:09:01.799
will try to get your
stuff out there.
00:09:01.800 --> 00:09:04.199
So yeah, we\'ll try to-
00:09:04.200 --> 00:09:06.865
we\'ll try to get you as many
appointments as possible
00:09:06.866 --> 00:09:08.865
and as you can.
00:09:08.866 --> 00:09:11.065
JO-ANNE: Okay, well that\'s
something, that\'s good.
00:09:11.066 --> 00:09:12.732
MARCEL:
Yeah.
00:09:12.733 --> 00:09:14.199
JO-ANNE:
So let\'s be in touch more.
00:09:14.200 --> 00:09:15.532
MARCEL: Yeah, listen,
it was great seeing you-
00:09:15.533 --> 00:09:16.932
LORI:
Yeah, just communicate
00:09:16.933 --> 00:09:18.599
if you have any
questions about anything.
00:09:18.600 --> 00:09:20.432
Just email me and we\'ll
keep each other informed.
00:09:20.433 --> 00:09:21.832
MARCEL:
So we\'ll stay in touch.
00:09:21.833 --> 00:09:22.999
JO-ANNE:
Yes please.
00:09:23.000 --> 00:09:24.032
MARCEL:
We\'ll see you soon.
00:09:24.033 --> 00:09:25.199
JO-ANNE:
Yeah.
00:09:25.200 --> 00:09:26.600
MARCEL:
Keep up the good work.
00:09:32.033 --> 00:09:35.865
JO-ANNE: I wouldn\'t say that
I take photographs of animals.
00:09:35.866 --> 00:09:38.332
I would say that I
photograph the predicaments
00:09:38.333 --> 00:09:41.200
that animals are in
because of humans.
00:09:50.433 --> 00:09:52.332
When I started photography,
00:09:52.333 --> 00:09:56.832
the success came from creating
a good, artistic image.
00:09:56.833 --> 00:09:58.665
And that\'s still important,
00:09:58.666 --> 00:10:01.765
but not as important as
creating a connection
00:10:01.766 --> 00:10:06.066
between the non-human animal
in the picture and humans.
00:10:24.333 --> 00:10:28.100
The photography has become
a tool for activism.
00:10:38.666 --> 00:10:46.666
My mission in life is to raise
awareness about animal issues.
00:10:49.200 --> 00:10:51.432
There are not many people
working for animals.
00:10:51.433 --> 00:10:56.832
[doorbell]
00:10:56.833 --> 00:10:58.699
- JO-ANNE: Cheers everyone.
- ALL: Cheers!
00:10:58.700 --> 00:11:00.932
JO-ANNE:
Great to see everyone again.
00:11:00.933 --> 00:11:02.765
- Yes.
- You like to cook.
00:11:02.766 --> 00:11:04.065
MARTIN: You know, funnily enough
00:11:04.066 --> 00:11:06.799
I like to cook
for lots of people.
00:11:06.800 --> 00:11:09.065
Normally I have rice
and beans every night
00:11:09.066 --> 00:11:14.832
so you know it\'s, it\'s
really... but I, you know.
00:11:14.833 --> 00:11:17.665
JO-ANNE: They support
documentary photographers
00:11:17.666 --> 00:11:20.665
and they do more than
some of the other agencies
00:11:20.666 --> 00:11:22.632
and they\'re known for that
00:11:22.633 --> 00:11:24.499
and that\'s why I went to them,
00:11:24.500 --> 00:11:27.232
but two and a half years ago
00:11:27.233 --> 00:11:29.799
we had kind of the same
meeting that we had today.
00:11:29.800 --> 00:11:30.999
Oh.
00:11:31.000 --> 00:11:35.265
Which was, great photos, um...
00:11:35.266 --> 00:11:40.732
this issue isn\'t...
on the radar at all.
00:11:40.733 --> 00:11:43.265
And they\'re like,
until it\'s on the radar -
00:11:43.266 --> 00:11:45.465
JASMIN: But how does it
get on the radar?
00:11:45.466 --> 00:11:47.599
Not to make an impressive term,
00:11:47.600 --> 00:11:49.299
is this an impressive term,
00:11:49.300 --> 00:11:51.399
but isn\'t it a chicken
and egg situation?
00:11:51.400 --> 00:11:53.399
Like isn\'t it-
00:11:53.400 --> 00:11:58.965
up to our people and the
media to make it an issue?
00:11:58.966 --> 00:12:02.499
That\'s ultimately
what we have to change.
00:12:02.500 --> 00:12:04.799
MARIANN: We have to
get to the point
00:12:04.800 --> 00:12:06.399
where they want to
look at these animals-
00:12:06.400 --> 00:12:08.800
and understand that each
animal is an individual.
00:12:19.966 --> 00:12:22.899
JO-ANNE: They see the animals
that they want to see,
00:12:22.900 --> 00:12:25.632
like wildlife and pets,
00:12:25.633 --> 00:12:28.032
and it\'s comfortable
to look at those
00:12:28.033 --> 00:12:30.532
and inspires
feelings of happiness
00:12:30.533 --> 00:12:32.665
and comfort and familiarity.
00:12:32.666 --> 00:12:34.365
But the ones that
we don\'t look at
00:12:34.366 --> 00:12:36.165
are the ones that I\'m often
trying to photograph.
00:12:36.166 --> 00:12:38.065
Those who are
objectified in zoos,
00:12:38.066 --> 00:12:40.899
those that we eat and wear,
00:12:40.900 --> 00:12:43.965
and so there\'s an
invisibility there.
00:12:43.966 --> 00:12:45.299
MARTIN: Well, do you want
to talk about the book?
00:12:45.300 --> 00:12:47.065
JO-ANNE: Yeah.
00:12:47.066 --> 00:12:52.832
MARTIN: You came to me with an
idea of publishing a book of
00:12:52.833 --> 00:12:56.865
and with your photos,
and I said to you,
00:12:56.866 --> 00:12:59.332
it will be a very
expensive project,
00:12:59.333 --> 00:13:02.299
we can\'t afford it,
you need to get a grant.
00:13:02.300 --> 00:13:05.099
JO-ANNE: Do you want
to be my editor? [laughs]
00:13:05.100 --> 00:13:07.732
MARTIN: I\'m going to put the
stuff down in writing
00:13:07.733 --> 00:13:09.899
and I\'m going to come
up with a budget.
00:13:09.900 --> 00:13:12.699
- And we\'re going to think big.
- Okay.
00:13:12.700 --> 00:13:14.932
So the answer is yes,
I could be your editor.
00:13:14.933 --> 00:13:18.433
[jet engines]
00:13:25.566 --> 00:13:28.899
[phone rings]
00:13:28.900 --> 00:13:30.432
MARCEL: Hello?
00:13:30.433 --> 00:13:32.132
JO-ANNE: Hey Marcel,
it\'s Jo, how are you?
00:13:32.133 --> 00:13:34.099
MARCEL: Good Jo, how you doing?
00:13:34.100 --> 00:13:37.465
JO-ANNE: I\'m good, uh, I\'m
calling because I want to talk
00:13:37.466 --> 00:13:39.265
about putting together
that portfolio
00:13:39.266 --> 00:13:41.065
so we can get it out
to the right people.
00:13:41.066 --> 00:13:42.765
MARCEL: Absolutely.
00:13:42.766 --> 00:13:44.532
JO-ANNE: I guess I need some
guidance from you
00:13:44.533 --> 00:13:46.232
as to how we do that
00:13:46.233 --> 00:13:49.465
and strategically what
stories we put in there
00:13:49.466 --> 00:13:51.865
that you feel will fit
best with certain clients.
00:13:51.866 --> 00:13:55.232
MARCEL: Yeah, I think you
have great series,
00:13:55.233 --> 00:13:56.565
you know on the monkeys...
00:13:56.566 --> 00:13:58.199
JO-ANNE: Okay.
00:13:58.200 --> 00:14:00.265
And stuff that I\'ve
sent to you recently,
00:14:00.266 --> 00:14:02.432
is the bear story-
00:14:02.433 --> 00:14:04.365
MARCEL: The bear story
is amazing.
00:14:04.366 --> 00:14:07.365
- Okay,
there\'s the mink farming-
00:14:07.366 --> 00:14:08.965
- The mink farming, yes.
00:14:08.966 --> 00:14:10.499
- Okay, that\'s a yes.
00:14:10.500 --> 00:14:12.332
And do you have any idea yet
00:14:12.333 --> 00:14:14.532
where we will try and
send this portfolio?
00:14:14.533 --> 00:14:16.865
MARCEL: I think we\'re talking
about major magazines,
00:14:16.866 --> 00:14:20.265
New York Times Magazine,
the New Yorker,
00:14:20.266 --> 00:14:21.965
Time and Newsweek.
00:14:21.966 --> 00:14:25.599
JO-ANNE: Okay, sounds great
Marcel, thank you so much.
00:14:25.600 --> 00:14:27.865
I need to
shoot more fur stories.
00:14:27.866 --> 00:14:29.632
Not just the mink,
00:14:29.633 --> 00:14:33.365
but the smaller animals and
the foxes and the raccoons,
00:14:33.366 --> 00:14:38.499
and the dogs even who are
kept in cages for fur.
00:14:38.500 --> 00:14:41.333
These places are often out
in the middle of nowhere.
00:14:43.666 --> 00:14:46.499
You have to go off the
beaten track and down paths
00:14:46.500 --> 00:14:49.500
and down dirt roads
to get to these places.
00:14:55.100 --> 00:15:00.699
MARCUS: Denmark, China,
Finland, Holland...
00:15:00.700 --> 00:15:08.165
it\'s, the last 10 years I\'m
doing one job after the next.
00:15:08.166 --> 00:15:10.199
The fur industry says
everything is okay,
00:15:10.200 --> 00:15:12.999
everything is controlled,
everything is fine.
00:15:13.000 --> 00:15:16.699
And this investigation
should show the opposite.
00:15:16.700 --> 00:15:19.265
This whole industry
is rotten from inside
00:15:19.266 --> 00:15:22.032
and this is how it has
to get on tape, because-
00:15:22.033 --> 00:15:23.899
JO-ANNE: And we need to stay on
top of it, shooting new stuff,
00:15:23.900 --> 00:15:26.899
all the time, to show this
isn\'t last year\'s footage,
00:15:26.900 --> 00:15:28.665
this is right now\'s footage.
00:15:28.666 --> 00:15:32.065
[walkie-talkie chatter]
00:15:32.066 --> 00:15:37.199
[speaking German]
00:15:37.200 --> 00:15:41.032
MARCUS: Um, my way is
to really give the media
00:15:41.033 --> 00:15:43.532
the best footage available.
00:15:43.533 --> 00:15:46.265
That\'s the reason why
I decided to take photos.
00:15:46.266 --> 00:15:50.865
A photo can do a
thousand more times harm
00:15:50.866 --> 00:15:53.232
to the industry than-
00:15:53.233 --> 00:15:54.599
JO-ANNE:
Than an action.
00:15:54.600 --> 00:15:56.865
MARCUS: Than any direct
action activity.
00:15:56.866 --> 00:15:58.732
And I have learned
this, for example
00:15:58.733 --> 00:16:02.599
when I worked in an animal
testing laboratory,
00:16:02.600 --> 00:16:06.565
this laboratory was not
afraid of property damage
00:16:06.566 --> 00:16:08.732
because this is paid
by the insurance,
00:16:08.733 --> 00:16:11.765
see, they can pay it
from their pocket money.
00:16:11.766 --> 00:16:15.099
But they were afraid of
somebody infiltrating them,
00:16:15.100 --> 00:16:17.099
taking photo, video.
00:16:17.100 --> 00:16:18.499
JO-ANNE: And that\'s what
you were there doing?
00:16:18.500 --> 00:16:19.799
MARCUS: Yeah.
00:16:19.800 --> 00:16:21.165
JO-ANNE:
How long did you stay there?
00:16:21.166 --> 00:16:22.632
MARCUS: 5 months.
00:16:22.633 --> 00:16:26.065
JO-ANNE: Oh my God!
00:16:26.066 --> 00:16:29.265
MARCUS: I show you just to -
give you a little overview.
00:16:29.266 --> 00:16:30.632
We\'re starting with mink?
00:16:30.633 --> 00:16:32.732
No.
Fox.
00:16:32.733 --> 00:16:35.565
So here we are.
00:16:35.566 --> 00:16:39.832
This is the fox farm,
quite small one
00:16:39.833 --> 00:16:42.932
but it\'s all the same if
it\'s the one with 5,000 foxes
00:16:42.933 --> 00:16:44.432
or 200, it doesn\'t matter.
00:16:44.433 --> 00:16:46.499
It\'s the same system.
00:16:46.500 --> 00:16:49.932
It\'s a farm area,
lot of agricultural stuff
00:16:49.933 --> 00:16:52.999
but fortunately this
farm is located in here
00:16:53.000 --> 00:16:56.799
in the corner between the
railway line and the forest.
00:16:56.800 --> 00:17:01.165
So the only house is
within vision range,
00:17:01.166 --> 00:17:04.699
right here about
400 metres away.
00:17:04.700 --> 00:17:06.865
So they are not a threat.
00:17:06.866 --> 00:17:08.632
The only threat is this road.
00:17:08.633 --> 00:17:11.465
But we will locate
one person here
00:17:11.466 --> 00:17:13.999
and maybe one person here.
00:17:14.000 --> 00:17:19.499
And so, at this line, we will
see how the situation is
00:17:19.500 --> 00:17:21.499
and so whatever happens,
00:17:21.500 --> 00:17:25.165
we have warning time
of about one minute.
00:17:25.166 --> 00:17:27.299
So what time do the farmers
start at this place?
00:17:27.300 --> 00:17:32.332
We don\'t know, but normally
fur farmers are not a job
00:17:32.333 --> 00:17:36.699
for really busy people,
so the only activity,
00:17:36.700 --> 00:17:40.032
the daily activity is getting
feed to the foxes two times.
00:17:40.033 --> 00:17:43.399
So one time in the morning,
and one time in the evening.
00:17:43.400 --> 00:17:45.565
We should be
finished in one hour
00:17:45.566 --> 00:17:48.199
because at 6:30,
all the people go to work
00:17:48.200 --> 00:17:50.232
and the chances that
somebody will see something
00:17:50.233 --> 00:17:53.199
is much higher.
00:17:53.200 --> 00:17:56.332
In case of emergency,
you leave the farm first.
00:17:56.333 --> 00:18:00.733
I will go as last
person and so...
00:18:29.266 --> 00:18:32.265
JO-ANNE:
Emotionally I\'m already there.
00:18:32.266 --> 00:18:37.432
I\'m already there with them.
00:18:37.433 --> 00:18:39.100
[engine starts]
00:18:50.533 --> 00:18:52.399
MARCUS:
So, we drive there,
00:18:52.400 --> 00:18:59.032
it will take about 15 minutes
to 20 minutes to go there.
00:18:59.033 --> 00:19:02.465
Foxes are vulnerable
for self-mutilation
00:19:02.466 --> 00:19:05.299
and cannibalism
so it could be that
00:19:05.300 --> 00:19:06.999
there will be wounds
00:19:07.000 --> 00:19:09.265
and this is very
important to get on tape.
00:19:09.266 --> 00:19:10.799
JO-ANNE: All the stuff
we need to document.
00:19:10.800 --> 00:19:13.133
Yeah, and the ear injuries,
the neck injuries.
00:19:20.766 --> 00:19:26.532
[indistinct
walkie-talkie chatter]
00:19:26.533 --> 00:19:28.599
MARCUS: We will park the car
deep in the forest.
00:19:28.600 --> 00:19:30.332
So this is safe there,
00:19:30.333 --> 00:19:38.333
nobody will make
any trouble there.
00:19:43.300 --> 00:19:50.932
[Jo-anne whispers]
It stinks already.
00:19:50.933 --> 00:19:54.332
MARCUS: The life cycle of
a fur farm begins in March
00:19:54.333 --> 00:19:55.799
with the mating.
00:19:55.800 --> 00:19:57.699
This means that the
number of the animals
00:19:57.700 --> 00:19:59.432
may be up to 7 times higher.
00:19:59.433 --> 00:20:02.599
That means the cages
are overcrowded.
00:20:02.600 --> 00:20:04.365
JO-ANNE:
There\'s fighting already.
00:20:04.366 --> 00:20:07.165
MARCUS: The animals begin to
fight, aggression will start.
00:20:07.166 --> 00:20:10.599
They will be divided from
the mothers from June to July.
00:20:10.600 --> 00:20:13.632
And then for every
fox but the females
00:20:13.633 --> 00:20:15.599
and a few mating males,
00:20:15.600 --> 00:20:19.465
their life ends in
November or December.
00:20:19.466 --> 00:20:27.466
[foxes yelping]
00:20:39.300 --> 00:20:41.465
MARCUS:
Be careful in touching stuff.
00:20:41.466 --> 00:20:43.132
JO-ANNE:
Yeah, no traces of us.
00:20:43.133 --> 00:20:45.165
MARCUS:
No damages. No traces.
00:20:45.166 --> 00:20:48.532
[foxes yelping]
00:20:48.533 --> 00:20:56.533
[shutter clicking]
00:21:03.266 --> 00:21:05.099
I\'m so sorry.
00:21:05.100 --> 00:21:13.100
[foxes yelping]
00:21:20.433 --> 00:21:27.232
[shutter clicking]
00:21:27.233 --> 00:21:30.699
JO-ANNE:
Oh baby...
00:21:30.700 --> 00:21:38.700
[loud yelping]
00:22:00.733 --> 00:22:08.733
[loud yelping]
00:22:30.733 --> 00:22:38.733
[loud yelping]
00:23:09.733 --> 00:23:17.733
[loud yelping]
00:23:28.700 --> 00:23:36.333
[yelping]
00:23:47.066 --> 00:23:49.465
[walkie-talkie chatter]
00:23:49.466 --> 00:23:50.965
MARCUS:
Okay, we should go.
00:23:50.966 --> 00:23:58.966
JO-ANNE:
Yes.
00:24:02.233 --> 00:24:04.132
Okay.
00:24:04.133 --> 00:24:12.133
[mouse clicking]
00:24:46.566 --> 00:24:48.032
JO-ANNE:
You connect with them
00:24:48.033 --> 00:24:49.365
because you\'re
looking in their eyes
00:24:49.366 --> 00:24:54.199
and they\'re looking in yours.
00:24:54.200 --> 00:24:57.399
And I knew actually
seeing the foxes would be-
00:24:57.400 --> 00:24:59.865
it would be hard because
they\'re so soulful.
00:24:59.866 --> 00:25:02.265
Their eyes and their movements,
00:25:02.266 --> 00:25:10.266
I mean they\'re really easy to
read because they\'re like dogs.
00:25:13.366 --> 00:25:15.299
I\'m not there to liberate them.
00:25:15.300 --> 00:25:18.699
I\'m there to document them.
00:25:18.700 --> 00:25:21.932
As much as I\'d like to liberate
them from their cages,
00:25:21.933 --> 00:25:25.965
I can\'t because that\'s not
going to change the system.
00:25:25.966 --> 00:25:29.699
So my role is to educate people.
00:25:29.700 --> 00:25:37.700
And then there won\'t be future
generations of these animals.
00:25:41.300 --> 00:25:43.665
That is really infected.
00:25:43.666 --> 00:25:45.532
Yeah but it shows
00:25:45.533 --> 00:25:47.999
there\'s no medical
treatment of the animals.
00:25:48.000 --> 00:25:50.599
They just survive or not.
00:25:50.600 --> 00:25:52.632
Yeah.
00:25:52.633 --> 00:25:54.799
JO-ANNE: What\'s the
plan this afternoon?
00:25:54.800 --> 00:25:58.132
MARCUS: The plan is arriving
at this very big mink farm,
00:25:58.133 --> 00:26:00.332
getting some good
outside shots showing
00:26:00.333 --> 00:26:04.533
how huge this factory
farms can come.
00:26:12.700 --> 00:26:15.065
[shutter clicks]
00:26:15.066 --> 00:26:17.932
JO-ANNE:
It\'s hard to document.
00:26:17.933 --> 00:26:19.500
Actually.
00:26:21.600 --> 00:26:23.365
MARCUS:
If we count the sheds,
00:26:23.366 --> 00:26:25.599
for sure over
a hundred thousand,
00:26:25.600 --> 00:26:27.165
but it\'s very hard to say.
00:26:27.166 --> 00:26:29.665
A mink farm can have 20,000
00:26:29.666 --> 00:26:33.999
and in 3 months later after
the young ones have come
00:26:34.000 --> 00:26:36.699
it\'s 6 times or 7 times more.
00:26:36.700 --> 00:26:42.032
But this is a top range
of mink farming, worldwide.
00:26:42.033 --> 00:26:44.499
If you look at the
facility, how it\'s built,
00:26:44.500 --> 00:26:48.232
there\'s western money
involved in this.
00:26:48.233 --> 00:26:51.832
Thousands of fur farms have
been shut down in Europe
00:26:51.833 --> 00:26:55.765
in the last year so the fur
industry is still on the run.
00:26:55.766 --> 00:26:59.565
I\'m not sure if
I will see the day
00:26:59.566 --> 00:27:02.333
with the last fur farm
worldwide being shut down.
00:27:18.166 --> 00:27:19.899
Look!
Yeah.
00:27:19.900 --> 00:27:23.065
A breeding card.
00:27:23.066 --> 00:27:24.999
[shutter clicks]
00:27:25.000 --> 00:27:27.399
MARCUS: It\'s one of
the very rare proofs.
00:27:27.400 --> 00:27:29.999
International.
00:27:30.000 --> 00:27:33.999
That\'s another one.
00:27:34.000 --> 00:27:36.732
That\'s a Dutch company.
00:27:36.733 --> 00:27:41.599
[shutter clicks]
00:27:41.600 --> 00:27:49.600
[quiet animal cries]
00:28:27.500 --> 00:28:29.199
[quiet animal cries]
00:28:29.200 --> 00:28:37.200
[thumping]
00:28:45.000 --> 00:28:50.499
[shutter clicks]
00:28:50.500 --> 00:28:58.500
[shutter clicks]
00:29:00.966 --> 00:29:08.966
[birds chirping]
00:29:10.300 --> 00:29:12.400
[cow moos]
00:29:49.266 --> 00:29:52.532
[rooster crowing]
00:29:52.533 --> 00:30:00.065
[clucking]
00:30:00.066 --> 00:30:01.732
JO-ANNE:
Since I was a kid,
00:30:01.733 --> 00:30:09.432
I\'ve always felt
community with animals.
00:30:09.433 --> 00:30:12.032
My mom had 10 chickens,
00:30:12.033 --> 00:30:14.265
10 layer hens
at her country home
00:30:14.266 --> 00:30:17.399
and they became my friends.
00:30:17.400 --> 00:30:19.765
I knew which ones were shy,
00:30:19.766 --> 00:30:22.632
I knew which ones were the boss.
00:30:22.633 --> 00:30:24.399
Seeing their dynamics
00:30:24.400 --> 00:30:29.299
and seeing just what incredible
personalities they had...
00:30:29.300 --> 00:30:32.799
I learned that...
you know, if I went home
00:30:32.800 --> 00:30:35.032
and ate chicken, I wasn\'t
just eating a piece of meat,
00:30:35.033 --> 00:30:37.865
I was eating a little person.
00:30:37.866 --> 00:30:39.532
You know, someone
with a personality,
00:30:39.533 --> 00:30:44.299
someone with sentience.
00:30:44.300 --> 00:30:47.432
Being here, being at the
farm, allows me to process.
00:30:47.433 --> 00:30:50.732
Because I\'m seeing them
happy and it makes me think
00:30:50.733 --> 00:30:53.032
of the sad ones, the sad ones-
00:30:53.033 --> 00:30:54.699
it makes me think of the
ones that are in the farms,
00:30:54.700 --> 00:30:56.599
confined and completely abused.
00:30:56.600 --> 00:30:58.932
Not everybody can come
to the sanctuaries.
00:30:58.933 --> 00:31:00.765
There\'s such a thing where -
00:31:00.766 --> 00:31:02.532
there\'s so many
people that are like,
00:31:02.533 --> 00:31:04.332
all sanctuaries are not -
you\'re wasting money.
00:31:04.333 --> 00:31:05.832
I don\'t think it\'s
a waste of money
00:31:05.833 --> 00:31:07.932
because it used to be
more of a farming world.
00:31:07.933 --> 00:31:09.865
It\'s not now, most people
live in the cities,
00:31:09.866 --> 00:31:11.332
there\'s very few farmers,
00:31:11.333 --> 00:31:12.865
most of the small farms
are getting eaten alive
00:31:12.866 --> 00:31:14.365
by the factory farms,
so nobody makes
00:31:14.366 --> 00:31:16.332
those connections
to animals anymore.
00:31:16.333 --> 00:31:18.632
So they\'re almost
so disconnected
00:31:18.633 --> 00:31:20.465
that we\'re desensitized to them.
00:31:20.466 --> 00:31:22.765
I think that having
sanctuaries is just like
00:31:22.766 --> 00:31:25.665
this whole like...
getting to the heart of,
00:31:25.666 --> 00:31:27.699
these are individual animals
00:31:27.700 --> 00:31:29.832
and they have feelings
and they, like, see them.
00:31:29.833 --> 00:31:31.665
Like who they are, because
each one\'s different.
00:31:31.666 --> 00:31:33.365
Because you can\'t feel
anything for a billion animals
00:31:33.366 --> 00:31:35.265
- or a million animals.
- No one can!
00:31:35.266 --> 00:31:37.132
- Or a thousand or a hundred.
- You can\'t do that with people.
00:31:37.133 --> 00:31:38.932
JO-ANNE: But that\'s what you
guys do, you put a face to -
00:31:38.933 --> 00:31:44.499
SUSIE: A face and a name.
00:31:44.500 --> 00:31:46.799
Every time we get one
of these animals on the farm,
00:31:46.800 --> 00:31:50.865
they represent all those
animals that we can\'t save.
00:31:50.866 --> 00:31:53.865
Um, so we have the powerful
photos to show like
00:31:53.866 --> 00:31:55.632
what it\'s like when
we get these animals
00:31:55.633 --> 00:31:58.532
out of the stockyard and
how bad of shape they\'re in.
00:31:58.533 --> 00:32:00.865
So I actually am very
hopeful that we can really
00:32:00.866 --> 00:32:08.432
make this a very special rescue.
00:32:08.433 --> 00:32:10.432
A girl that we got
was in the sale
00:32:10.433 --> 00:32:13.899
where they were getting
rid of all the spent um,
00:32:13.900 --> 00:32:16.332
mothers, the spent dairy cows.
00:32:16.333 --> 00:32:18.032
The little calf we got was down
00:32:18.033 --> 00:32:22.099
but its back up and he\'s
really, really, really tiny.
00:32:22.100 --> 00:32:25.199
And they just... they
look so terrified.
00:32:25.200 --> 00:32:28.265
Like none of it makes
any sense really.
00:32:28.266 --> 00:32:30.699
And nobody wanted her.
00:32:30.700 --> 00:32:32.565
And I always do this whole
thing about you know,
00:32:32.566 --> 00:32:35.065
I\'m going to vet school and I
want animals that are not good.
00:32:35.066 --> 00:32:36.532
So you can work on them.
00:32:36.533 --> 00:32:38.532
Yeah. But when this cow came up,
00:32:38.533 --> 00:32:40.399
they had somebody
walk up and say,
00:32:40.400 --> 00:32:42.032
like you have to kill her
that\'s all she\'s good for
00:32:42.033 --> 00:32:44.599
at this point,
which is just insane.
00:32:44.600 --> 00:32:49.566
Yeah.
00:32:55.233 --> 00:32:59.733
[shutter clicking]
00:33:31.600 --> 00:33:39.600
[shutter clicking]
00:33:41.333 --> 00:33:43.499
Come on girl.
00:33:43.500 --> 00:33:46.432
Here, I can go behind.
I can go behind.
00:33:46.433 --> 00:33:49.499
Come on sweetie.
00:33:49.500 --> 00:33:51.766
Come on babe.
00:33:58.500 --> 00:34:02.699
[gate latches]
00:34:02.700 --> 00:34:04.499
FEMALE VET:
So what did you think?
00:34:04.500 --> 00:34:07.332
MALE VET: The first
weight was 64.
00:34:07.333 --> 00:34:11.299
And the respiratory rate was 36.
00:34:11.300 --> 00:34:14.799
And the breathing
sound was clear also.
00:34:14.800 --> 00:34:16.299
And -
00:34:16.300 --> 00:34:18.299
FEMALE VET: And her eyes
aren\'t very sunken.
00:34:18.300 --> 00:34:21.499
But I do... I\'m sure she
is somewhat dehydrated.
00:34:21.500 --> 00:34:24.132
Did you detect any
abnormalities with her udder?
00:34:24.133 --> 00:34:25.465
MALE VET:
The appearance is okay.
00:34:25.466 --> 00:34:27.565
There is no swelling.
No redness.
00:34:27.566 --> 00:34:31.299
And the appearance
of milk is also okay.
00:34:31.300 --> 00:34:33.199
FEMALE VET:
Normal.
00:34:33.200 --> 00:34:35.465
MALE VET: I didn\'t hear any
abnormalities on both sides.
00:34:35.466 --> 00:34:37.032
FEMALE VET:
Neither did I.
00:34:37.033 --> 00:34:40.699
And then obviously her
feet are extremely long
00:34:40.700 --> 00:34:43.365
and it seems like,
she doesn\'t have mastitis
00:34:43.366 --> 00:34:45.699
so I don\'t think she\'s
mastitis in her udder.
00:34:45.700 --> 00:34:47.665
Her long, long
hooves were probably
00:34:47.666 --> 00:34:50.165
causing most of her troubles.
00:34:50.166 --> 00:34:57.665
So we\'ll be taking
at least two inches off.
00:34:57.666 --> 00:35:05.666
[beeping]
00:35:12.633 --> 00:35:14.765
[shutter clicks]
00:35:14.766 --> 00:35:20.432
[indistinct conversation]
00:35:20.433 --> 00:35:24.065
[beeping]
00:35:24.066 --> 00:35:26.632
FEMALE VET: His umbilicus
is looking kind of ratty,
00:35:26.633 --> 00:35:29.099
so maybe he was born, you know,
00:35:29.100 --> 00:35:34.699
a day ago or even you know,
today, for all I know.
00:35:34.700 --> 00:35:38.532
But probably, probably about
a day or two old I guess.
00:35:38.533 --> 00:35:41.565
Check the umbilicus, see if
there\'s infection there.
00:35:41.566 --> 00:35:45.965
[indistinct conversation]
00:35:45.966 --> 00:35:50.732
[shutter clicking]
00:35:50.733 --> 00:35:54.199
There you go, you can do it.
00:35:54.200 --> 00:35:57.065
He\'s tired.
00:35:57.066 --> 00:35:58.965
Before I give it any fluids,
I kind of want to know
00:35:58.966 --> 00:36:02.432
what its sodium is because
its been at the sale all day,
00:36:02.433 --> 00:36:06.699
its dehydrated and if its
really in no need of treatment.
00:36:06.700 --> 00:36:10.132
[beeping]
00:36:10.133 --> 00:36:12.799
JO-ANNE: The connection
that I have to animals
00:36:12.800 --> 00:36:16.632
while I\'m photographing
them is one of empathy...
00:36:16.633 --> 00:36:22.132
an understanding that
there\'s a huge mistreatment
00:36:22.133 --> 00:36:25.499
and inequality between
human and non-human animals.
00:36:25.500 --> 00:36:29.432
And that\'s always in
the forefront of my mind.
00:36:29.433 --> 00:36:37.433
[machines whirring and
cattle lowing throughout]
00:37:05.033 --> 00:37:13.033
[indistinct loudspeaker voice]
00:37:16.933 --> 00:37:24.933
[lowing continues throughout]
00:37:50.000 --> 00:37:58.000
[buzzer]
00:38:03.466 --> 00:38:11.466
[birds chirping]
00:38:13.600 --> 00:38:19.165
[phone ringing]
00:38:19.166 --> 00:38:22.265
SUSIE: So this is like
the history of everybody.
00:38:22.266 --> 00:38:24.332
Everybody\'s in here,
everybody has a record.
00:38:24.333 --> 00:38:26.732
So like you can see
animals, you know,
00:38:26.733 --> 00:38:29.465
that we\'ve had for a very,
very, very long time.
00:38:29.466 --> 00:38:32.565
- [Jo-anne gasps]
- If you look, we start from
the very first animal,
00:38:32.566 --> 00:38:34.099
which is Hilda.
00:38:34.100 --> 00:38:35.965
Yeah, and she\'s in here.
00:38:35.966 --> 00:38:38.965
So this, this is the incoming,
outgoing log for everybody.
00:38:38.966 --> 00:38:41.065
And yeah, if you notice,
they\'re like Bombay,
00:38:41.066 --> 00:38:43.965
Tom Collins, Grog.
[Laughs]
00:38:43.966 --> 00:38:45.765
Like, you can run out of names,
you really do.
00:38:45.766 --> 00:38:47.565
JO-ANNE:
Perfect.
00:38:47.566 --> 00:38:49.665
SUSIE: This is Sonny\'s chart.
He has ulcers already.
00:38:49.666 --> 00:38:51.832
I know, it\'s terrible.
00:38:51.833 --> 00:38:53.232
I like how they called
her unknown too,
00:38:53.233 --> 00:38:54.732
that\'s what they
always start out as.
00:38:54.733 --> 00:38:57.932
Number 880257.
She was numbered.
00:38:57.933 --> 00:39:00.565
Adult female cow,
of unknown age.
00:39:00.566 --> 00:39:03.465
JO-ANNE:
Hi Fanny, sweet girl.
00:39:03.466 --> 00:39:05.532
This is your new
home sweetheart.
00:39:05.533 --> 00:39:08.465
[cow mooing]
00:39:08.466 --> 00:39:10.032
MARIO: I think
she hears you.
00:39:10.033 --> 00:39:13.032
SUSIE: That\'s for his
umbilical cord problem.
00:39:13.033 --> 00:39:16.333
That\'s for ulcers.
Okay.
00:39:19.533 --> 00:39:21.332
Okay, he\'s coming.
00:39:21.333 --> 00:39:23.499
[shutter clicking]
00:39:23.500 --> 00:39:25.732
JO-ANNE:
Hi Sonny!
00:39:25.733 --> 00:39:27.399
[shutter clicks]
00:39:27.400 --> 00:39:29.065
You see it hurts, just like
touching that tag hurts
00:39:29.066 --> 00:39:32.899
because the metal gets pulled.
00:39:32.900 --> 00:39:34.199
SUSIE: Would you
like to keep this?
00:39:34.200 --> 00:39:35.232
JO-ANNE:
Yes, I would.
00:39:35.233 --> 00:39:36.399
SUSIE:
You can have it.
00:39:36.400 --> 00:39:38.199
I keep a whole bunch of them.
00:39:38.200 --> 00:39:40.299
I have almost everybody\'s
so you can have that one.
00:39:40.300 --> 00:39:41.565
JO-ANNE:
Thank you Mario.
00:39:41.566 --> 00:39:44.299
MARIO:
No problem guys.
00:39:44.300 --> 00:39:45.399
[loud mooing]
00:39:45.400 --> 00:39:47.466
[shutter clicking]
00:39:59.333 --> 00:40:02.000
[cattle lowing]
00:40:28.900 --> 00:40:32.199
JO-ANNE: Farm Sanctuary
is my home away from home.
00:40:32.200 --> 00:40:35.799
It\'s where I go when
I need to recuperate
00:40:35.800 --> 00:40:38.132
and be with happy animals.
00:40:38.133 --> 00:40:46.133
[shutter clicking]
00:40:52.533 --> 00:40:54.299
Surrounding myself with people
00:40:54.300 --> 00:40:57.565
who are working really hard
for the same goals that I have.
00:40:57.566 --> 00:41:00.565
Which is animal liberation.
00:41:00.566 --> 00:41:02.299
SUSIE: Come up
and stay for a week
00:41:02.300 --> 00:41:04.065
and just take pictures
and hang, lay in the grass.
00:41:04.066 --> 00:41:05.299
JO-ANNE:
How about a month?
00:41:05.300 --> 00:41:06.532
SUSIE: You can stay
for a month,
00:41:06.533 --> 00:41:07.732
you can stay as
long as you want,
00:41:07.733 --> 00:41:09.299
because you need
a break from all-
00:41:09.300 --> 00:41:11.099
when you\'re seeing
just bad it\'s hard.
00:41:11.100 --> 00:41:14.733
Yeah, you gotta lay back and see
the good, and the good is here.
00:41:31.133 --> 00:41:36.365
[wind chimes]
00:41:36.366 --> 00:41:39.066
[rooster crows]
00:42:02.500 --> 00:42:10.500
[distant cattle lowing]
00:42:12.033 --> 00:42:15.466
[bleating]
00:42:17.200 --> 00:42:19.299
Hi Blitzen.
00:42:19.300 --> 00:42:21.865
Hello. Hello.
00:42:21.866 --> 00:42:23.799
I\'m trying to say hi to Fanny.
00:42:23.800 --> 00:42:25.132
Okay, come on.
00:42:25.133 --> 00:42:28.532
[moo]
00:42:28.533 --> 00:42:30.365
I know.
00:42:30.366 --> 00:42:32.432
Come on.
00:42:32.433 --> 00:42:34.965
Hi Fanny, sweet girl.
00:42:34.966 --> 00:42:39.765
Hi, I know where you
were a few months ago.
00:42:39.766 --> 00:42:42.599
Yeah, you\'re still shy.
00:42:42.600 --> 00:42:45.865
[whispers]
I know.
00:42:45.866 --> 00:42:48.166
How are those legs huh?
00:42:52.166 --> 00:42:54.200
[moo]
00:42:58.100 --> 00:43:00.033
JO-ANNE:
Hi Sonny!
00:43:03.566 --> 00:43:05.866
[laughs]
00:43:14.066 --> 00:43:16.033
You\'re so big now.
00:43:29.033 --> 00:43:31.699
JO-ANNE: I\'m finally getting
these thousands of stories
00:43:31.700 --> 00:43:33.433
that I have down on paper.
00:43:38.400 --> 00:43:39.832
The animals that
I\'ve left behind
00:43:39.833 --> 00:43:42.100
are never far from my mind.
00:43:48.166 --> 00:43:51.565
I want the book
to be a meditation
00:43:51.566 --> 00:43:54.266
on the individuals that
I\'ve met throughout the years.
00:43:58.233 --> 00:43:59.865
Um, there have been
hundreds of thousands
00:43:59.866 --> 00:44:02.500
but some of them I\'ve
spent more time with.
00:44:06.333 --> 00:44:07.799
[shutter clicks]
00:44:07.800 --> 00:44:10.932
JO-ANNE:
Well, hello there.
00:44:10.933 --> 00:44:12.432
Thank you.
00:44:12.433 --> 00:44:13.965
JO-ANNE: And some
of them stay with me
00:44:13.966 --> 00:44:17.100
in my heart as I go
forward, doing this work.
00:44:31.266 --> 00:44:34.966
[clucking]
00:44:58.766 --> 00:44:59.999
Teresa.
00:45:00.000 --> 00:45:03.066
[shutter clicking]
00:45:32.333 --> 00:45:36.832
JO-ANNE: And I want to
share their stories and...
00:45:36.833 --> 00:45:38.332
I think people will
want to read them
00:45:38.333 --> 00:45:40.499
because these are really
incredible individuals
00:45:40.500 --> 00:45:43.500
that I\'ve met in
incredible circumstances.
00:45:51.233 --> 00:45:53.165
So... I can just
put those images
00:45:53.166 --> 00:45:55.666
and all those stories
in front of me.
00:45:57.033 --> 00:45:59.199
JO-ANNE:
Hi pretty girl.
00:45:59.200 --> 00:46:02.565
[shutter clicks]
00:46:02.566 --> 00:46:05.932
Yeah, sore leg, always.
00:46:05.933 --> 00:46:07.400
Poor kid.
00:46:12.233 --> 00:46:14.066
Hey beautiful.
00:46:18.400 --> 00:46:20.599
JO-ANNE: And I think
that the stories will...
00:46:20.600 --> 00:46:22.432
will change people.
00:46:22.433 --> 00:46:25.365
And get people
caring about animals.
00:46:25.366 --> 00:46:30.365
So with that I have immense
motivation to be here.
00:46:30.366 --> 00:46:32.366
To be writing.
00:46:42.766 --> 00:46:50.766
[dogs barking]
00:47:05.333 --> 00:47:08.499
DR. THEODORA CAPALDO: Beagles
have become the dog of choice,
00:47:08.500 --> 00:47:10.665
one, because they\'re
the right size.
00:47:10.666 --> 00:47:13.665
They\'re, you know,
around 40 pounds or less.
00:47:13.666 --> 00:47:19.132
Two, because there are enough
laboratories providing beagles
00:47:19.133 --> 00:47:20.699
that they have been able
00:47:20.700 --> 00:47:25.032
to selectively breed over
the last many decades
00:47:25.033 --> 00:47:33.033
for a docile, passive,
non-aggressive dog.
00:47:33.266 --> 00:47:37.199
All of that actually makes
the beagle an even more
00:47:37.200 --> 00:47:40.865
heart-breaking model than
one might already think.
00:47:40.866 --> 00:47:44.299
[indistinct chatter]
00:47:44.300 --> 00:47:47.432
[loud barking]
00:47:47.433 --> 00:47:49.533
MAN: Oh, I know.
00:47:53.333 --> 00:47:54.766
I know buddy.
00:48:00.266 --> 00:48:01.365
JO-ANNE: Come on up
and have a visit.
00:48:01.366 --> 00:48:04.765
Come on, right up here.
Hi!
00:48:04.766 --> 00:48:06.499
Hello!
00:48:06.500 --> 00:48:08.199
JO-ANNE: When it comes
to documenting animals
00:48:08.200 --> 00:48:10.199
used in research
and animals in labs
00:48:10.200 --> 00:48:12.665
there aren\'t a lot
of open doors for me.
00:48:12.666 --> 00:48:15.232
So there needs to be other
ways of telling these stories
00:48:15.233 --> 00:48:19.532
of these animals who have
come from such places.
00:48:19.533 --> 00:48:20.765
[shutter clicking]
00:48:20.766 --> 00:48:22.865
Hey Maggie.
00:48:22.866 --> 00:48:24.499
Good girl!
00:48:24.500 --> 00:48:27.099
JO-ANNE: Maggie is actually
a purpose-bred beagle.
00:48:27.100 --> 00:48:29.999
Not all beagles are
used in research labs.
00:48:30.000 --> 00:48:33.000
Some, like Maggie, are used
in teaching facilities.
00:48:35.666 --> 00:48:37.332
What\'s interesting
about Melanie and Mark
00:48:37.333 --> 00:48:39.099
is that they\'re not
animal rights people.
00:48:39.100 --> 00:48:43.899
They\'re regular, dog-loving
people, like most of us.
00:48:43.900 --> 00:48:46.899
They\'ve adopted Maggie and
their life has been changed.
00:48:46.900 --> 00:48:49.199
Hold still sweet girl.
00:48:49.200 --> 00:48:51.365
Tattoos from your past.
00:48:51.366 --> 00:48:53.365
Shows where you\'ve
been, eh pretty girl?
00:48:53.366 --> 00:48:55.699
[shutter clicking]
00:48:55.700 --> 00:48:57.832
MELANIE: To get Maggie
to where she is now,
00:48:57.833 --> 00:49:01.332
was a long and hard,
very hard journey.
00:49:01.333 --> 00:49:04.065
JO-ANNE: I\'m supposed
to be shooting Maggie.
00:49:04.066 --> 00:49:07.665
I\'m supposed to be shooting!
Okay! Off you go.
00:49:07.666 --> 00:49:09.299
JO-ANNE:
After Maggie\'s rescue,
00:49:09.300 --> 00:49:11.332
she went through a
year of transformation
00:49:11.333 --> 00:49:13.999
to become the dog
that she is now.
00:49:14.000 --> 00:49:15.900
What a mess.
00:49:18.466 --> 00:49:19.899
There we go.
00:49:19.900 --> 00:49:21.299
[shutter clicks]
00:49:21.300 --> 00:49:25.632
JO-ANNE: Oh really,
here we go, here we go.
00:49:25.633 --> 00:49:28.665
MELANIE: When we got her she
was about 8 or 9 months old.
00:49:28.666 --> 00:49:30.432
So she was still a puppy.
00:49:30.433 --> 00:49:33.933
And um, separation anxiety
was probably the worst thing.
00:49:37.966 --> 00:49:40.165
The facility said
to bring a crate,
00:49:40.166 --> 00:49:41.799
that that\'s what
they were used to
00:49:41.800 --> 00:49:43.232
and that they would adapt
00:49:43.233 --> 00:49:45.233
and they would be
fine with their crate.
00:49:47.633 --> 00:49:49.565
She was throwing up.
00:49:49.566 --> 00:49:50.999
She was going nuts.
00:49:51.000 --> 00:49:54.099
She was chewing on the
metal bar, the door,
00:49:54.100 --> 00:49:56.132
and she was cutting her
gums and everything.
00:49:56.133 --> 00:49:58.165
Like, she was going crazy.
00:49:58.166 --> 00:50:00.565
We didn\'t know how
to deal with it.
00:50:00.566 --> 00:50:04.432
So we completely
cut the crating out.
00:50:04.433 --> 00:50:07.065
She has a lot of issues,
00:50:07.066 --> 00:50:08.632
and there\'s a lot of issues
00:50:08.633 --> 00:50:10.399
that we may never
be able to fix.
00:50:10.400 --> 00:50:13.099
MARK: Yeah.
00:50:13.100 --> 00:50:14.632
MELANIE: Please
check all the reasons
00:50:14.633 --> 00:50:16.232
for which to adopt a pet.
00:50:16.233 --> 00:50:18.899
Companion.
I think so yes.
00:50:18.900 --> 00:50:20.599
Company for current pet.
Yes.
00:50:20.600 --> 00:50:22.165
MARK: Yup.
00:50:22.166 --> 00:50:24.265
MELANIE: Please list any
and all pets that you own
00:50:24.266 --> 00:50:27.565
or have owned in
the past 10 years.
00:50:27.566 --> 00:50:30.665
Maggie.
2 and a half.
00:50:30.666 --> 00:50:35.565
Female, spayed yes,
still own, yes.
00:50:35.566 --> 00:50:38.299
Knowing that most animals coming
from research and teaching
00:50:38.300 --> 00:50:42.765
have lived a very different
lifestyle than a house pet,
00:50:42.766 --> 00:50:44.799
are you willing to allow
for an adjustment period
00:50:44.800 --> 00:50:47.332
that may last weeks or months,
00:50:47.333 --> 00:50:51.999
before the dog fully settles
into the home environment?
00:50:52.000 --> 00:50:55.332
MARK: Well, we\'ve done it
with Maggie
00:50:55.333 --> 00:50:57.265
and it was more than weeks.
00:50:57.266 --> 00:50:59.132
MELANIE: It was
more like a year.
00:50:59.133 --> 00:51:04.865
But... I think Maggie\'s
going to be a big help.
00:51:04.866 --> 00:51:08.333
I love the breed and I feel
it\'s been life-changing.
00:51:10.400 --> 00:51:13.132
MARK: Let\'s go get our dog.
00:51:13.133 --> 00:51:14.333
MELANIE: Oh!
00:51:16.700 --> 00:51:18.999
She\'s got a lot of same
markings as Maggie.
00:51:19.000 --> 00:51:20.665
She\'s lighter in the face.
00:51:20.666 --> 00:51:21.732
JO-ANNE: So they said
she\'s had more done to her
00:51:21.733 --> 00:51:23.299
than Maggie did.
00:51:23.300 --> 00:51:25.132
MELANIE: That\'s what
she was saying, yeah.
00:51:25.133 --> 00:51:28.499
JO-ANNE: Yeah, we\'ll have to
find out more about that.
00:51:28.500 --> 00:51:30.499
Wow, she\'s so docile.
00:51:30.500 --> 00:51:32.532
MELANIE: She\'s very docile.
00:51:32.533 --> 00:51:34.799
JO-ANNE: This is so exciting.
00:51:34.800 --> 00:51:37.199
What a beautiful face.
00:51:37.200 --> 00:51:39.499
She\'s so sweet.
00:51:39.500 --> 00:51:41.565
MELANIE: Hi.
00:51:41.566 --> 00:51:43.565
JO-ANNE: What a life
she\'s had, I wonder, eh?
00:51:43.566 --> 00:51:45.165
Like, not much of one.
00:51:45.166 --> 00:51:47.232
MELANIE: Hi pup.
00:51:47.233 --> 00:51:48.665
JO-ANNE: Hello.
00:51:48.666 --> 00:51:51.365
MELANIE: Hey, come on.
00:51:51.366 --> 00:51:54.065
She\'s got anxiety.
00:51:54.066 --> 00:51:56.632
I\'m going to fix this anxiety.
00:51:56.633 --> 00:51:59.332
That\'s it for me.
00:51:59.333 --> 00:52:00.899
Yup.
00:52:00.900 --> 00:52:03.032
WOMAN: You said you were
going to change her name?
00:52:03.033 --> 00:52:07.233
MELANIE: Yes. Abbey.
A-B-B-E-Y.
00:52:10.600 --> 00:52:12.599
Is that for her...
for the vet right,
00:52:12.600 --> 00:52:14.532
with all her procedures
and everything?
00:52:14.533 --> 00:52:16.465
WOMAN: Yes, this is
what she\'s been through,
00:52:16.466 --> 00:52:18.599
and what she\'s been
vaccinated for.
00:52:18.600 --> 00:52:21.732
She was a teaching
candidate for her spay.
00:52:21.733 --> 00:52:23.532
MELANIE: Okay.
00:52:23.533 --> 00:52:26.033
So I\'ll go with you?
And yup.
00:52:27.366 --> 00:52:30.265
Abbey!
Hi baby.
00:52:30.266 --> 00:52:32.599
Are you ready to go home?
00:52:32.600 --> 00:52:35.265
Abbey.
Alright.
00:52:35.266 --> 00:52:37.300
Are you ready for
the drive home?
00:52:42.933 --> 00:52:45.033
MELANIE:
(laughing) Yay!
00:52:51.200 --> 00:52:52.465
MARK: What\'s going on?
00:52:52.466 --> 00:52:53.965
MELANIE: I\'m just taking it easy
00:52:53.966 --> 00:52:55.065
because I don\'t know
how she is in a car.
00:52:55.066 --> 00:52:56.433
JO-ANNE: Hi Abbey.
00:53:00.200 --> 00:53:02.465
MARK: She\'s seems
very good actually.
00:53:02.466 --> 00:53:04.365
MELANIE: She\'s just
like so mesmerized.
00:53:04.366 --> 00:53:06.533
See the look in her face.
00:53:10.633 --> 00:53:13.765
JO-ANNE: Those are
nice photos sweetheart.
00:53:13.766 --> 00:53:16.000
You photograph very well Abbey.
00:53:47.833 --> 00:53:55.833
[whimpers]
00:53:57.700 --> 00:53:59.633
JO-ANNE:
Oh my gosh, here we go.
00:54:04.700 --> 00:54:08.665
MELANIE: Ohhh.
00:54:08.666 --> 00:54:11.199
Look at that!
00:54:11.200 --> 00:54:12.900
No no wait.
00:54:18.333 --> 00:54:20.200
[shutter clicking]
00:54:23.266 --> 00:54:24.699
JO-ANNE: Hi Abbey.
00:54:24.700 --> 00:54:26.565
MELANIE: Good girl.
00:54:26.566 --> 00:54:28.099
[shutter clicks]
00:54:28.100 --> 00:54:29.665
MARK: This is your new home.
00:54:29.666 --> 00:54:31.565
JO-ANNE: This is your home.
00:54:31.566 --> 00:54:33.865
Maggie\'s being great.
00:54:33.866 --> 00:54:36.265
MARK: Let\'s get you
some water then.
00:54:36.266 --> 00:54:37.866
MELANIE: Come on you two.
00:54:46.100 --> 00:54:51.433
[barking]
00:55:01.866 --> 00:55:03.965
MELANIE: You can do it.
00:55:03.966 --> 00:55:05.899
You can do it.
Go up one more.
00:55:05.900 --> 00:55:09.099
Keep going.
One more.
00:55:09.100 --> 00:55:11.265
[shutter clicks]
00:55:11.266 --> 00:55:13.665
Ready?
One more.
00:55:13.666 --> 00:55:16.732
[shutter clicks]
00:55:16.733 --> 00:55:19.232
Good, almost there.
00:55:19.233 --> 00:55:20.732
JO-ANNE: There she goes!
00:55:20.733 --> 00:55:22.266
[shutter clicks]
00:55:24.766 --> 00:55:26.232
MELANIE: One more.
00:55:26.233 --> 00:55:29.132
Up one.
00:55:29.133 --> 00:55:34.300
[shutter clicking]
00:56:12.633 --> 00:56:20.633
[sound of children playing]
00:56:22.800 --> 00:56:24.632
[loud splash]
00:56:24.633 --> 00:56:28.232
[cheering]
00:56:28.233 --> 00:56:32.465
[excited screams]
00:56:32.466 --> 00:56:34.165
DR. MARINO:
The unfortunate trend
00:56:34.166 --> 00:56:36.132
that is occurring globally
00:56:36.133 --> 00:56:42.199
is that marine theme parks
holding marine mammals captive
00:56:42.200 --> 00:56:45.300
are literally popping
up everywhere.
00:56:48.233 --> 00:56:56.065
[cheering]
00:56:56.066 --> 00:57:00.832
Any highly intelligent,
highly social animal
00:57:00.833 --> 00:57:05.732
cannot thrive in
zoos or aquaria.
00:57:05.733 --> 00:57:09.065
We have more than enough
scientific evidence
00:57:09.066 --> 00:57:10.865
to tell us that.
00:57:10.866 --> 00:57:17.066
[laughter, cheering]
00:57:36.566 --> 00:57:44.566
[dolphin noises]
00:57:55.233 --> 00:58:01.533
[applause and animal noises]
00:58:10.933 --> 00:58:14.699
RECORDED VOICE: he squints
his eyes in daylight.
00:58:14.700 --> 00:58:17.299
He has come to us from Zurich.
00:58:17.300 --> 00:58:19.465
He was bought in May 2000.
00:58:19.466 --> 00:58:22.332
He was a big child, and...
he was spoiled...
00:58:22.333 --> 00:58:25.432
[indistinct recording continues]
00:58:25.433 --> 00:58:29.266
[indistinct children voices]
00:58:36.433 --> 00:58:38.999
RECORDED VOICE:
They are known for wrestling.
00:58:39.000 --> 00:58:40.932
The smaller one,
00:58:40.933 --> 00:58:43.765
with a distinctive
grimace on his face...
00:58:43.766 --> 00:58:45.533
[children chattering]
00:58:46.933 --> 00:58:50.465
Another gorilla,
is a year older.
00:58:50.466 --> 00:58:52.999
He is bigger and courageous.
00:58:53.000 --> 00:58:57.499
The white hairs on his back
means he is soon to be...
00:58:57.500 --> 00:59:05.500
[children chattering]
00:59:34.166 --> 00:59:37.265
JO-ANNE: The book\'s going
to be dedicated to Ron.
00:59:37.266 --> 00:59:40.665
He\'s a chimpanzee that
I\'ve met a few times
00:59:40.666 --> 00:59:42.432
that I had quite
a connection with.
00:59:42.433 --> 00:59:43.999
He passed away last year,
00:59:44.000 --> 00:59:46.865
but he spent most of
his life, over 30 years,
00:59:46.866 --> 00:59:50.100
used in research and
he lived in a cage.
00:59:53.366 --> 00:59:56.199
Ron just underwent
so many surgeries.
00:59:56.200 --> 00:59:58.599
He was anesthetized
so many times.
00:59:58.600 --> 01:00:01.165
16 times in a 5 week period.
01:00:01.166 --> 01:00:06.432
And he was kept in
a 5 by 5 by 7 cage.
01:00:06.433 --> 01:00:09.265
And he would um, he wasn\'t
really given any enrichment
01:00:09.266 --> 01:00:12.332
except once in awhile
a blanket or a sheet,
01:00:12.333 --> 01:00:16.665
and even after his rescue
that was his comfort,
01:00:16.666 --> 01:00:18.165
that\'s what he knew,
01:00:18.166 --> 01:00:19.999
so he would gather up
a bunch of blankets
01:00:20.000 --> 01:00:23.233
and make a perfect
circular nest.
01:00:27.533 --> 01:00:29.699
The forgiveness that
he showed to humans
01:00:29.700 --> 01:00:31.732
was really incredible.
01:00:31.733 --> 01:00:37.399
And he\'s such an ambassador
for animals used in research.
01:00:37.400 --> 01:00:40.866
And... I really miss him.
01:01:44.333 --> 01:01:47.666
[honking]
01:01:56.933 --> 01:02:01.266
[pigs squealing]
01:03:08.133 --> 01:03:09.766
[honking]
01:03:12.866 --> 01:03:14.700
[honking]
01:03:17.433 --> 01:03:19.433
[honking]
01:03:33.866 --> 01:03:41.866
[pigs squealing]
01:03:42.266 --> 01:03:45.565
JO-ANNE: You guys are
packed in here.
01:03:45.566 --> 01:03:46.799
[pigs squealing]
01:03:46.800 --> 01:03:48.865
[truck honks]
01:03:48.866 --> 01:03:56.866
[pigs squealing,
shutter clicking]
01:03:57.433 --> 01:04:00.132
[honking]
01:04:00.133 --> 01:04:08.133
[squealing]
01:04:12.766 --> 01:04:16.532
JO-ANNE:
I see you guys.
01:04:16.533 --> 01:04:18.432
[shutter clicks]
01:04:18.433 --> 01:04:20.465
WOMAN: They\'re so gentle.
01:04:20.466 --> 01:04:28.466
[squealing]
01:04:29.166 --> 01:04:31.700
[honking]
01:04:44.600 --> 01:04:46.999
[honking]
01:04:47.000 --> 01:04:52.800
[squealing]
01:04:57.100 --> 01:05:03.566
[engine revs]
01:05:12.266 --> 01:05:18.565
[honking]
01:05:18.566 --> 01:05:21.365
[phone rings]
01:05:21.366 --> 01:05:23.765
SUSIE:
Hi this is Susie.
01:05:23.766 --> 01:05:25.665
We just took in a gestation sow
01:05:25.666 --> 01:05:28.199
and she gave birth to 16
piglets and we had to pull 8
01:05:28.200 --> 01:05:31.765
and they are going
through some serious milk.
01:05:31.766 --> 01:05:33.332
SUSIE: We got
the gestation sow,
01:05:33.333 --> 01:05:35.499
one of the workers turned
in, that they beat her.
01:05:35.500 --> 01:05:38.065
[rooster crows]
01:05:38.066 --> 01:05:40.265
Uh, the worker went to the
police and turned her in.
01:05:40.266 --> 01:05:43.532
The police actually
pulled her out.
01:05:43.533 --> 01:05:47.932
They called us, we went and got
her and then we took her here.
01:05:47.933 --> 01:05:50.165
This is the farm she came from.
01:05:50.166 --> 01:05:52.499
These are the gestation cells.
01:05:52.500 --> 01:05:54.699
That\'s all the room they have.
01:05:54.700 --> 01:05:56.865
On concrete.
01:05:56.866 --> 01:05:58.665
And this is... and
that\'s... he showed me,
01:05:58.666 --> 01:06:00.732
this is where she came from,
so these are her neighbours,
01:06:00.733 --> 01:06:03.632
and this is where they
had moved her from.
01:06:03.633 --> 01:06:05.665
And you can see,
everybody\'s pregnant.
01:06:05.666 --> 01:06:08.799
That\'s one of the moms.
01:06:08.800 --> 01:06:12.432
I wanted to take all
of them and I couldn\'t.
01:06:12.433 --> 01:06:13.832
And this is her.
01:06:13.833 --> 01:06:15.299
Like she had blood
all over here.
01:06:15.300 --> 01:06:16.633
These are bruises.
01:06:19.166 --> 01:06:21.899
And then the top of her
is where the burns are.
01:06:21.900 --> 01:06:25.499
These are all electrical
burns from a cattle prod,
01:06:25.500 --> 01:06:28.265
and then they took a metal
pole and beat her with it,
01:06:28.266 --> 01:06:29.765
and she went into shock.
01:06:29.766 --> 01:06:31.599
And she completely collapsed
01:06:31.600 --> 01:06:33.499
by the time we had
her in the trailer.
01:06:33.500 --> 01:06:36.599
Um, ah, it just doesn\'t
even make any sense,
01:06:36.600 --> 01:06:38.133
that she went through all that.
01:06:39.933 --> 01:06:41.932
Yeah, they really hurt her.
01:06:41.933 --> 01:06:45.132
And then she came here.
[chuckles]
01:06:45.133 --> 01:06:48.099
She was just such a mess.
01:06:48.100 --> 01:06:50.799
To put an animal
through all that,
01:06:50.800 --> 01:06:53.099
while she was like
days from giving birth,
01:06:53.100 --> 01:06:57.832
just because she wouldn\'t
do what they wanted.
01:06:57.833 --> 01:06:59.566
She\'s a heart-breaker,
she is so sweet.
01:07:03.000 --> 01:07:06.066
[quiet squeals]
01:07:18.566 --> 01:07:22.299
JO-ANNE: Everyone
go say hi to mommy!
01:07:22.300 --> 01:07:25.066
[squealing]
01:07:30.833 --> 01:07:36.899
[shutter clicking]
01:07:36.900 --> 01:07:38.565
SUSIE: When I talked to
this guy, it was crazy.
01:07:38.566 --> 01:07:41.665
He said... I said how long
do you keep your sows
01:07:41.666 --> 01:07:43.232
and he said, oh I never keep
them more than 2 years,
01:07:43.233 --> 01:07:44.799
like he\'s doing them
a favour, which he is,
01:07:44.800 --> 01:07:46.799
but that means they
go to slaughter.
01:07:46.800 --> 01:07:50.065
So it\'s like, so they don\'t even
get to live more than 2 years.
01:07:50.066 --> 01:07:52.565
But they\'re impregnated
two and a half times a year.
01:07:52.566 --> 01:07:55.665
Yeah, because they\'re
a 144 day cycle.
01:07:55.666 --> 01:07:58.500
Yeah, it\'s one of the most
horrible... they\'re machines.
01:08:02.566 --> 01:08:04.465
JO-ANNE: How big
are they gonna be?
01:08:04.466 --> 01:08:07.532
SUSIE: Um, the boys will
be like 800 pounds (laughs)
01:08:07.533 --> 01:08:11.199
and the girls, will be like 6.
01:08:11.200 --> 01:08:14.399
JO-ANNE:
Come on! Come on!
01:08:14.400 --> 01:08:16.199
[squealing]
01:08:16.200 --> 01:08:18.233
Oh you got milk all over you.
01:08:22.800 --> 01:08:30.800
[squealing]
01:08:32.933 --> 01:08:37.465
JO-ANNE: You are so silly!
(laughs)
01:08:37.466 --> 01:08:41.565
SUSIE: There we go.
01:08:41.566 --> 01:08:44.066
(laughs)
01:09:13.666 --> 01:09:17.765
[jet engine]
01:09:17.766 --> 01:09:20.300
[elevator door rings]
01:09:30.466 --> 01:09:32.965
[elevator door rings]
01:09:32.966 --> 01:09:36.165
JO-ANNE: Hi.
I\'m here to see Marcel.
01:09:36.166 --> 01:09:37.866
Great, thanks.
01:09:43.266 --> 01:09:44.599
JO-ANNE: Nice to see you!
01:09:44.600 --> 01:09:47.265
MARCEL: Give me a hug,
good to see you.
01:09:47.266 --> 01:09:51.465
We have an editor from
Newsweek coming in.
01:09:51.466 --> 01:09:54.165
JO-ANNE: Hi Jamie.
I\'m Jo-Anne.
01:09:54.166 --> 01:09:55.332
JAMIE: Pleasure,
thank you for waiting.
01:09:55.333 --> 01:09:57.133
I\'m sorry it took me forever.
01:09:58.600 --> 01:10:00.299
Good to see you.
01:10:00.300 --> 01:10:01.965
You\'re in Toronto
01:10:01.966 --> 01:10:04.265
but you spend 6 months
a year pursuing this issue.
01:10:04.266 --> 01:10:05.965
JO-ANNE: Yeah, that\'s the
thing I have a huge archive,
01:10:05.966 --> 01:10:07.632
10 years worth,
01:10:07.633 --> 01:10:10.165
of our relationships with
animals around the globe.
01:10:10.166 --> 01:10:12.199
And uh...
01:10:12.200 --> 01:10:14.665
[whispers]
I\'m trying to save the world.
01:10:14.666 --> 01:10:16.199
JAMES: Yeah, but there\'s
nothing wrong with that.
01:10:16.200 --> 01:10:18.532
That\'s why I do what I do.
01:10:18.533 --> 01:10:20.999
Even though often
I look at issues
01:10:21.000 --> 01:10:24.865
which are about
torment and loss,
01:10:24.866 --> 01:10:27.532
even aggression and sadness.
01:10:27.533 --> 01:10:29.699
But unless we expose
those to the world
01:10:29.700 --> 01:10:32.199
what chance do we have
to engage in conversation
01:10:32.200 --> 01:10:34.665
to figure out ways
to save the world.
01:10:34.666 --> 01:10:36.532
JO-ANNE: So that\'s
what I\'m doing,
01:10:36.533 --> 01:10:40.199
photographing these topics
but it\'s an invisible war.
01:10:40.200 --> 01:10:42.165
And it\'s a war against animals.
01:10:42.166 --> 01:10:44.499
JAMES: Very powerful.
JO-ANNE: Thank you.
01:10:44.500 --> 01:10:47.099
JAMES: Very upsetting.
Strong though, visually.
01:10:47.100 --> 01:10:48.699
It\'s very strong.
01:10:48.700 --> 01:10:50.299
JO-ANNE: And I\'m looking
at stuff closer to home,
01:10:50.300 --> 01:10:51.932
stuff that\'s really invisible.
01:10:51.933 --> 01:10:53.432
JAMES: Such as?
01:10:53.433 --> 01:10:54.965
JO-ANNE: Like factory farming,
01:10:54.966 --> 01:10:57.765
because the highest number
of animals in the world
01:10:57.766 --> 01:11:00.665
are suffering the worst fates.
01:11:00.666 --> 01:11:05.232
So this is the day in the life
of a veal and dairy farm.
01:11:05.233 --> 01:11:09.532
JAMES: New York is a huge
dairy state by the way.
01:11:09.533 --> 01:11:11.565
JO-ANNE: And this
is like organic,
01:11:11.566 --> 01:11:16.032
humanely raised animals.
01:11:16.033 --> 01:11:18.832
I\'m trying to show the industry
of it even at the small...
01:11:18.833 --> 01:11:20.199
JAMES: It\'s very good.
01:11:20.200 --> 01:11:22.532
JO-ANNE: small farms.
01:11:22.533 --> 01:11:28.165
JAMES: But milk is... that\'s
slightly different for you
01:11:28.166 --> 01:11:30.499
than butchering them?
01:11:30.500 --> 01:11:31.932
Or is it kind of similar...
01:11:31.933 --> 01:11:33.565
JO-ANNE: No, they get
butchered eventually
01:11:33.566 --> 01:11:35.732
and like these dairy
cows can live 20 years
01:11:35.733 --> 01:11:38.199
but they usually get
butchered at 3 or 4 years old
01:11:38.200 --> 01:11:41.032
because their bodies are
just completely spent.
01:11:41.033 --> 01:11:43.332
And actually a lot of
people go vegetarian
01:11:43.333 --> 01:11:45.865
and they cut out like the
red meats and the chickens
01:11:45.866 --> 01:11:47.732
and um, for ethical reasons.
01:11:47.733 --> 01:11:49.399
JAMES: And then sit around
and eat lobster or something.
01:11:49.400 --> 01:11:53.032
- Or they continue to eat
dairy and um, eggs...
01:11:53.033 --> 01:11:54.665
- Ice cream for instance.
01:11:54.666 --> 01:11:56.732
JO-ANNE: But those are actually
the cruelest industries,
01:11:56.733 --> 01:11:58.932
much crueler, because of the
confinement of the animals
01:11:58.933 --> 01:12:00.232
and their babies are taken away
01:12:00.233 --> 01:12:02.165
and how quickly
they get slaughtered
01:12:02.166 --> 01:12:04.132
and the way their bodies are
super abused so if you\'re...
01:12:04.133 --> 01:12:05.899
JAMES: That\'s the
hormone thing then.
01:12:05.900 --> 01:12:07.932
JO-ANNE: No, not even.
Not even.
01:12:07.933 --> 01:12:09.599
Like layer hens
have the worst...
01:12:09.600 --> 01:12:10.965
JAMES: How long have
you been a vegan?
01:12:10.966 --> 01:12:12.565
Almost 10 years.
01:12:12.566 --> 01:12:14.465
- When you talk about
the number of animals
01:12:14.466 --> 01:12:16.565
which are killed a
year to be consumed,
01:12:16.566 --> 01:12:17.899
how many are you talking about?
01:12:17.900 --> 01:12:19.899
JO-ANNE: Around 10 billion
01:12:19.900 --> 01:12:21.665
10 billion animals
a year for food.
01:12:21.666 --> 01:12:24.165
Animals which are way higher.
01:12:24.166 --> 01:12:25.632
The numbers are way higher.
01:12:25.633 --> 01:12:27.299
The ones that are killed
and caught in nets.
01:12:27.300 --> 01:12:28.300
JAMES: In the nets.
01:12:28.301 --> 01:12:29.665
And what would you do next
01:12:29.666 --> 01:12:31.465
if you could go out
and do any story?
01:12:31.466 --> 01:12:32.965
Where would it be?
01:12:32.966 --> 01:12:36.332
JO-ANNE: Uh, actually...
01:12:36.333 --> 01:12:39.965
it needs to be where there\'s
concentrated suffering.
01:12:39.966 --> 01:12:42.065
JAMES: Where would that be?
01:12:42.066 --> 01:12:44.799
JO-ANNE: Developed countries
with factory farming.
01:12:44.800 --> 01:12:48.099
And I would also like
to get assignments
01:12:48.100 --> 01:12:49.665
doing this kind of thing.
01:12:49.666 --> 01:12:52.965
I want... I need to spend time
getting myself out there
01:12:52.966 --> 01:12:55.332
so that publications think of me
when they have an animal story.
01:12:55.333 --> 01:12:59.065
JAMES: Well, you have to go and
visit places about your work.
01:12:59.066 --> 01:13:01.165
- And I need to be doing
more of this, so...
01:13:01.166 --> 01:13:03.399
- I would say so.
01:13:03.400 --> 01:13:05.565
I mean this is
your cause in life.
01:13:05.566 --> 01:13:08.133
You have...
you have to push it.
01:13:14.733 --> 01:13:17.165
JAMES: People will
continue to do this story
01:13:17.166 --> 01:13:20.065
and it\'s important that they
know that you\'ve been doing it.
01:13:20.066 --> 01:13:22.999
You have to make people aware
that you\'re doing this work.
01:13:23.000 --> 01:13:24.665
JO-ANNE: One of my
challenges is that -
01:13:24.666 --> 01:13:26.465
JAMES: If you run a story
in the New York Times
01:13:26.466 --> 01:13:30.199
or the Wall Street Journal,
a lot of people would see it.
01:13:30.200 --> 01:13:31.999
JO-ANNE: I know.
01:13:32.000 --> 01:13:33.532
JAMES: And it\'s very,
very important,
01:13:33.533 --> 01:13:37.366
not just for you but
obviously for... the issue.
01:13:41.866 --> 01:13:45.465
JAMES: So after having done
years and years of this work,
01:13:45.466 --> 01:13:50.132
what\'s your feeling about
your fellow human being?
01:13:50.133 --> 01:13:51.532
JO-ANNE: I can\'t spend
a lot of time thinking
01:13:51.533 --> 01:13:53.532
why, why, why are we like this
01:13:53.533 --> 01:13:56.199
because I don\'t have an answer
and there\'s not an easy one.
01:13:56.200 --> 01:13:58.165
So my job is to take
the pictures, and...
01:13:58.166 --> 01:14:00.499
JAMES: Yeah, but since you
are taking the pictures
01:14:00.500 --> 01:14:03.465
and you are endowing yourself
with a certain amount
01:14:03.466 --> 01:14:06.399
of responsibility on this
issue, you have a lot more
01:14:06.400 --> 01:14:08.766
than you\'re actually giving
yourself credit for.
01:14:34.766 --> 01:14:38.065
JAMES: I\'m always fascinated
by the fact that... you know,
01:14:38.066 --> 01:14:41.800
how do you change something
that\'s so culturally engrained?
01:14:55.733 --> 01:15:03.700
[sizzling]
01:15:40.833 --> 01:15:44.633
[indistinct noises and chatter]
01:15:56.266 --> 01:15:58.265
DR. GRANDIN: I think
that we can use animals
01:15:58.266 --> 01:16:00.032
in an ethical manner for food.
01:16:00.033 --> 01:16:02.432
There\'s many animals that
if we didn\'t breed them
01:16:02.433 --> 01:16:04.065
they wouldn\'t be here,
01:16:04.066 --> 01:16:08.165
but we must give that
animal a life worth living.
01:16:08.166 --> 01:16:10.165
About 50 percent of the cattle
01:16:10.166 --> 01:16:12.232
in the US, Canada and Australia,
01:16:12.233 --> 01:16:15.232
when they go to the very
large slaughter plants
01:16:15.233 --> 01:16:18.165
are handled in my center
track restrainer system.
01:16:18.166 --> 01:16:22.499
And I often get asked, do
big plants really work well?
01:16:22.500 --> 01:16:26.732
Big plants can work just fine,
if equipment is set up right.
01:16:26.733 --> 01:16:28.665
You\'ve got to make sure
you don\'t under-staff
01:16:28.666 --> 01:16:31.165
and overload equipment.
01:16:31.166 --> 01:16:35.065
These are my drawings that
I hand-drafted myself.
01:16:35.066 --> 01:16:38.532
We\'ve got 2 curved
cattle handling systems,
01:16:38.533 --> 01:16:40.699
and you might wonder,
why are they curved?
01:16:40.700 --> 01:16:42.199
Cattle have a natural tendency
01:16:42.200 --> 01:16:44.565
to want to go back to
where they come from.
01:16:44.566 --> 01:16:46.599
So you could use that behaviour
01:16:46.600 --> 01:16:49.899
to help you get the animals
through the system.
01:16:49.900 --> 01:16:51.732
One of the things that
was really important
01:16:51.733 --> 01:16:54.499
is looking at what
are the cattle seeing.
01:16:54.500 --> 01:16:56.499
They see people walking
by, they won\'t go in.
01:16:56.500 --> 01:16:58.832
The entrance is too dark,
they won\'t go in.
01:16:58.833 --> 01:17:00.665
You\'ve got to light up
the entrance just right.
01:17:00.666 --> 01:17:02.132
You can\'t have
reflections on it.
01:17:02.133 --> 01:17:03.999
You\'ve got to have
a non-slip floor.
01:17:04.000 --> 01:17:06.399
You\'ve got to block the vision
in just the right places.
01:17:06.400 --> 01:17:08.299
Details of design are important.
01:17:08.300 --> 01:17:11.599
Also, since the system is
about 7 feet off the ground,
01:17:11.600 --> 01:17:13.732
you\'ve got to put
in a fault floor
01:17:13.733 --> 01:17:16.432
so the animals don\'t see
the visual cliff effect.
01:17:16.433 --> 01:17:18.632
With cattle, it\'s all
about what they see.
01:17:18.633 --> 01:17:21.465
You control what they see, and
they\'re on a non-slip surface,
01:17:21.466 --> 01:17:24.232
then they\'ll walk right in.
01:17:24.233 --> 01:17:26.399
I think slaughter plants
should have glass walls.
01:17:26.400 --> 01:17:28.899
I\'ve taken lots of people
through large slaughter plants
01:17:28.900 --> 01:17:30.465
when they\'re working right.
01:17:30.466 --> 01:17:32.432
And I have them watch the
cattle going up the ramp
01:17:32.433 --> 01:17:34.165
and they kind of go,
01:17:34.166 --> 01:17:36.599
oh I can\'t believe how
quietly they go up the ramp.
01:17:36.600 --> 01:17:39.665
Now one of the ways you could
give them glass walls is video.
01:17:39.666 --> 01:17:41.599
You could just stream
it out to the Internet.
01:17:41.600 --> 01:17:49.600
[machines whirring]
01:18:00.066 --> 01:18:02.833
[cattle lowing]
01:18:47.200 --> 01:18:50.865
JO-ANNE: Susie,
where are ya?
01:18:50.866 --> 01:18:54.199
Hello, well look at this place!
01:18:54.200 --> 01:18:56.833
[laughing]
01:19:06.033 --> 01:19:09.599
[moo]
01:19:09.600 --> 01:19:11.433
[whistles]
01:19:27.033 --> 01:19:28.532
JO-ANNE: How\'s Fanny?
01:19:28.533 --> 01:19:29.699
SUSIE: Fanny\'s good.
01:19:29.700 --> 01:19:30.965
JO-ANNE: Does she still kick?
01:19:30.966 --> 01:19:33.032
SUSIE: Yeah she
sometimes kicks the leg.
01:19:33.033 --> 01:19:35.699
Yeah, so she\'s always
going to have hoof problems
01:19:35.700 --> 01:19:37.199
for the rest of her life
because they were bad
01:19:37.200 --> 01:19:38.965
and she\'s always going
to have arthritis.
01:19:38.966 --> 01:19:43.699
Hi Fanny sweet girl.
01:19:43.700 --> 01:19:45.366
Hi!
01:19:49.966 --> 01:19:51.900
I\'m going to go say
hi to everyone else.
01:19:58.800 --> 01:20:00.932
SUSIE:
Sonny!
01:20:00.933 --> 01:20:03.765
(whistles)
SONNY!
01:20:03.766 --> 01:20:05.232
JO-ANNE: Is Sonny
growing healthy?
01:20:05.233 --> 01:20:08.265
SUSIE: Sonny is probably
about 800 pounds.
01:20:08.266 --> 01:20:09.865
Yeah, Sonny will turn a year,
01:20:09.866 --> 01:20:12.965
so Sonny\'s going to
be a year old now.
01:20:12.966 --> 01:20:16.032
[shutter clicks]
01:20:16.033 --> 01:20:17.800
[chuckling]
01:20:20.133 --> 01:20:21.533
Come over here...
01:20:27.766 --> 01:20:29.733
He\'s so huggable.
01:20:38.033 --> 01:20:40.800
Look at your perfect eyelashes.
01:20:53.133 --> 01:20:55.565
JO-ANNE: I truly
believe that it\'s innate
01:20:55.566 --> 01:20:57.465
that we\'re all compassionate
01:20:57.466 --> 01:21:03.465
and that if we\'re given the
opportunity to care, we will.
01:21:03.466 --> 01:21:09.165
[indistinct chatter]
01:21:09.166 --> 01:21:11.199
STUDENT: I have a question
about how you said
01:21:11.200 --> 01:21:13.365
you can\'t always go
through the front door.
01:21:13.366 --> 01:21:15.699
I don\'t know, you kind of said
it was like an espionage thing.
01:21:15.700 --> 01:21:18.932
I was wondering what
does that kind of entail?
01:21:18.933 --> 01:21:22.165
JO-ANNE: Okay, thanks!
01:21:22.166 --> 01:21:23.832
STUDENT 2: Hi, so,
I was just wondering
01:21:23.833 --> 01:21:25.532
because with a lot of the
stories you talk about
01:21:25.533 --> 01:21:26.932
and even what you
hear in the news,
01:21:26.933 --> 01:21:28.265
do you find that the
majority of things
01:21:28.266 --> 01:21:29.799
that are going on are overseas?
01:21:29.800 --> 01:21:31.432
Because I know there is
stuff that does go on here
01:21:31.433 --> 01:21:36.832
but it\'s like you don\'t
hear about that as much.
01:21:36.833 --> 01:21:39.832
JO-ANNE: As we all know, photos
can speak a thousand words.
01:21:39.833 --> 01:21:41.832
And if we can get
in and get close up
01:21:41.833 --> 01:21:44.499
and document something from the
point of view of the animal
01:21:44.500 --> 01:21:46.465
and show what animals go through
01:21:46.466 --> 01:21:48.586
then that will change the
hearts and minds of people.
01:21:57.966 --> 01:21:59.799
STUDENT 3:
Hi, I was wondering
01:21:59.800 --> 01:22:02.366
what are your plans
for the future?
01:22:16.200 --> 01:22:18.265
DR. VANDANA SHIVA: Most ancient
cultures of the world
01:22:18.266 --> 01:22:20.932
thought of themselves as
the family of the earth
01:22:20.933 --> 01:22:24.732
with all beings as part
of the web of life,
01:22:24.733 --> 01:22:27.699
not masters and owners of it.
01:22:27.700 --> 01:22:31.565
And we have this
development of a world view
01:22:31.566 --> 01:22:34.365
that defines power and rights
01:22:34.366 --> 01:22:37.099
only in the hands
of a few human beings,
01:22:37.100 --> 01:22:41.665
taking rights away from other
beings including animals.
01:22:41.666 --> 01:22:44.432
And I think what
we are seeing today
01:22:44.433 --> 01:22:47.733
is a correction of
that aberration.
01:22:52.066 --> 01:22:55.599
BRUCE: I\'m convinced
that animal rights
01:22:55.600 --> 01:23:00.165
and human rights work together.
01:23:00.166 --> 01:23:04.432
If we had been having this
conversation 200 years ago
01:23:04.433 --> 01:23:06.132
and we had been talking
01:23:06.133 --> 01:23:09.499
about slavery or suffrage,
people would argue
01:23:09.500 --> 01:23:11.832
women will never have
a say in governance,
01:23:11.833 --> 01:23:13.899
and they would have
argued that it\'s natural
01:23:13.900 --> 01:23:16.500
for humans to hold
other humans as slaves.
01:23:23.133 --> 01:23:26.899
ANTOINE: I would love to see
the animals to have rights.
01:23:26.900 --> 01:23:29.332
I do not know exactly
what this would mean.
01:23:29.333 --> 01:23:34.899
Probably one would say
no use of animals at all.
01:23:34.900 --> 01:23:38.266
Others would say,
no abuse of animals.
01:23:42.766 --> 01:23:48.765
The perception of animal
rights is a little bit vague,
01:23:48.766 --> 01:23:54.099
especially knowing the
process of lawmaking,
01:23:54.100 --> 01:23:57.632
especially trying to get
a majority in parliament
01:23:57.633 --> 01:24:02.733
and of the population to
say yes to steps ahead.
01:24:12.966 --> 01:24:14.565
DR. BOLLIGER:
The fact of the matter is
01:24:14.566 --> 01:24:18.732
that animals don\'t even
have a right to live.
01:24:18.733 --> 01:24:24.032
So we are quite far away from
achieving animal rights.
01:24:24.033 --> 01:24:26.965
I think other nations
could learn something
01:24:26.966 --> 01:24:28.965
from Switzerland.
01:24:28.966 --> 01:24:32.799
Namely that you can protect
animals on a legal level
01:24:32.800 --> 01:24:35.999
and that you can achieve
a lot for animal welfare
01:24:36.000 --> 01:24:39.066
with the leverage of the law.
01:24:41.800 --> 01:24:45.799
Animals have earned our
continued efforts
01:24:45.800 --> 01:24:47.799
on their behalf.
01:24:47.800 --> 01:24:50.399
They can\'t do it on their own.
01:24:50.400 --> 01:24:52.232
They are reliant on us
01:24:52.233 --> 01:24:55.632
and it needs to be done
on a societal level.
01:24:55.633 --> 01:24:58.132
And of course also
on a legal level
01:24:58.133 --> 01:25:01.033
with strong laws and
consistent enforcement.
01:25:14.733 --> 01:25:17.432
DR. MARINO: Inherently,
any living organism
01:25:17.433 --> 01:25:22.299
has basic rights to bodily
integrity and liberty.
01:25:22.300 --> 01:25:29.565
And to not be owned or
controlled by another being.
01:25:29.566 --> 01:25:33.965
And by that I mean, not that
they\'re deserving of rights
01:25:33.966 --> 01:25:39.065
that we might give them, but
that they have them already.
01:25:39.066 --> 01:25:41.400
By virtue of who they are.
01:26:18.133 --> 01:26:20.599
[Radiohead Give Up
the Ghost plays]
01:26:20.600 --> 01:26:26.932
Don\'t hurt me
01:26:26.933 --> 01:26:33.099
Don\'t hurt me
01:26:33.100 --> 01:26:39.665
Don\'t hurt me
01:26:39.666 --> 01:26:44.665
Don\'t hurt me
01:26:44.666 --> 01:26:52.666
Gather up the lost and sold
01:26:56.600 --> 01:27:02.033
In your arms
01:27:03.266 --> 01:27:05.900
In your arms
01:27:10.166 --> 01:27:18.000
Gather up the pitiful
01:27:22.166 --> 01:27:27.400
In your arms
01:27:28.400 --> 01:27:31.366
In your arms
01:27:34.766 --> 01:27:38.900
In your arms
01:27:41.066 --> 01:27:44.100
In your arms
01:27:49.100 --> 01:27:55.400
What seems impossible
01:28:00.166 --> 01:28:05.266
In your arms
01:28:13.666 --> 01:28:21.633
I think I have had my fill
01:28:25.900 --> 01:28:30.300
In your arms
01:28:32.000 --> 01:28:35.233
In your arms
01:28:51.933 --> 01:28:59.933
I think I should
give up the ghost
01:29:03.666 --> 01:29:11.666
In your arms
01:29:15.700 --> 01:29:18.466
In your arms
01:29:28.200 --> 01:29:34.166
In your arms
01:29:41.333 --> 01:29:49.333
In your arms