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This week on "VICE,"
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the battle over what is
and what isn't fake news.
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Violence against Trump supporters
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isn't being covered. Why is that?
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- I am, madam.
- You're like every other goddamn guy
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who comes in with a fucking opinion.
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"VICE" is fake news? What
are you talking about?
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We did allow the enemy into the house.
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And then, unlocking the
mysteries of human health
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in our microbiome.
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This is a medicine for headaches.
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Whoa!
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We've shifted too far
away from the environments
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which supported our health,
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and now we need to
move backwards a little.
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Go, go, go!
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We are not animals!
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Since the last presidential election,
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America has become increasingly divided.
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If you want to discover the source
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of the division in our country,
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look no further
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than the fake news
and the crooked media.
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So much so that today's
political opponents
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are not only arguing over the issues,
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but also over what is
actually considered a fact.
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Facts really have no meaning.
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Facts are only true to the progressives.
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That's not what we do.
We are in the business
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of sussing out what is
true and what is false.
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The debate over what
is or is not fake news
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has become the latest
partisan controversy
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in the United States.
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So we sent Isobel Yeung
to Washington, D.C.,
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the frontlines in this
battle for the truth.
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We're here at the White House,
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about to head into the press room
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for the media's daily briefing.
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During the Trump administration,
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there's been a lot of
tensions playing out
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between the mainstream media
and alternative news sources
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that have been spreading fake news,
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and often that battle plays
out inside this press room.
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So, what's the goal?
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You're going to be
Periscoping the whole briefing?
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Yeah, I'll see what the vibe is.
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You want people to watch
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what you do, as your own brand.
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That's the key.
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Can I ask you to move over
to the left here a little bit?
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Sorry.
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Mike Cernovich is part of a new class
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of conservative media personalities
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who garnered huge popularity online
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throughout the 2016 election,
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and are now gaining access
to the White House press room.
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- _
- Hi, guys.
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Uh, I hope you guys had a good weekend.
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It was definitely a busy one
for the Trump administration.
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Over 27,000 people watched
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as Mike Cernovich
live-streamed the briefing.
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Your questions. Jill.
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John.
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- Sarah.
- Thanks, Sean.
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- Zeke.
- Thanks, Sean.
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Margaret. Margaret, Margaret.
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What about violence
against Trump supporters?
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The media endorses violence.
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When you have been asked about, uh,
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President Duterte and
his human rights record...
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Well, I think there's an
economic piece to this as well.
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What about violence
against Trump supporters
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that's happened at Berkeley?
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And again, I'm just gonna let...
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the President will have an opportunity
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to speak with him
about those objectives.
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So, with that, I'll
see you guys tomorrow.
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Have a great day. Thank you.
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What about violence against
Trump supporters in Berkeley?
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The violence against Trump supporters
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isn't being covered. Why is that?
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Why will nobody here cover
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the violence against Trump supporters,
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and why won't you demand
that leaders of the Democrats
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disavow the violence from Antifa,
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the way you demanded Trump disavow
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violence from his supporters?
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- You have no answer?
- _
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I am, madam.
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It is very important that
this get out there. Thank you.
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I didn't see actual, you know...
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I didn't see any real journalism there.
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A lot of high school kids in there.
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I got to take you back behind the scenes
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and... we'll talk soon.
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_
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_
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_
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I do. I want the violence
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against Trump supporters to be...
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I want to hold the
Democrats to the fire.
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And here's what I know...
here's the way I know...
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- Time out. It's the White House.
- Yeah. Right.
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You wanna hold the
Democrats to the fire,
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go to the Democrats.
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You have a point of
view, and I understand,
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but you don't understand journalism.
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You don't understand what
we're really here for,
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and that's what pisses me off.
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You're like every other goddamn guy
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that comes in with a fucking opinion,
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and instead of listening,
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instead of really
finding out the issues,
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you want to grandstand
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at the end of a goddamn meeting.
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I just want to see the violence
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against Trump supporters,
which is rampant...
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I want to see some actual
leadership from the media on that.
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I wanna see them hold
Democrats accountable.
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We're not leaders! We're reporters!
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Before Cernovich fancied himself
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as a political reporter,
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he was a little-known blogger
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on the Internet's alt-right fringes.
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We might have some breaking news...
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During the 2016 election,
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he began spreading pro-Trump propaganda
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and conspiracy theories
about Hillary Clinton.
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A lot of you don't have the trained eye,
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so you might not be able
to see this right away,
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but she's doing Parkinson's shuffling.
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He now has over half a million followers
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across multiple platforms.
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To get a better sense of his operation,
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we went to his house slash
headquarters in Orange County.
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Every day I think, "How am I gonna build
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a platform and make it bigger?"
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The old days of, you know,
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"I'm just one guy and I work
for the whatever newspaper,"
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that's how you become
irrelevant, that's how you die.
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To stay relevant,
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Cernovich spends his days
Periscoping to his followers
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from a bedroom-cum-studio upstairs.
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- So, here it is.
- This is where... this is the office.
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This is where the magic happens.
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As you see, I just have
things cobbled together here.
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So, this computer here
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will be my YouTube.
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This one will be my Periscope.
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These are my burner phones.
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And I could do a lot
more if I had more...
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- stuff.
- Yeah, you're good at making yourself
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- sound bigger than you are.
- Exactly.
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Well, it depends on how
you measure impact, right?
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How many individual journalists
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get more views than I do a month?
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You know? Not many.
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And... we're back.
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Hottest story of the day, of course,
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is that CNN staging the
fake news media thing.
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There's a camera guy in
the background, by the way.
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We did... we did allow
the enemy into the house.
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I met this person, Isobel...
do you want to say hi, Isobel?
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Hi, guys.
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I'm Isobel Yeung, from "VICE."
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I met Isabella... how do
you say your last name?
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Isobel Yeung.
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"'VICE' is fake news."
What are you talking about?
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Here, you can sit down. They
can't see you on YouTube.
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"Fuck you. Fuck 'VICE."'
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Some people are happy,
some people are don't.
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"Isobel, are you ISIS?"
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Right, that's... that's the new thing.
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CNN is ISIS. It's kind
of like a new thing.
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So, what are you trying to do here?
What are you trying to achieve?
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Just, like, hanging out, really.
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So, when I... when I
go live, I can actually
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feel parts of my brain activated,
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because I'm plugging out of...
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this physical world,
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and I'm plugging into this
collective consciousness,
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this collective matrix.
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Anyway, I'll be coming back tonight
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to do a live show,
so like and subscribe.
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Do you think that it's the failings
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of the mainstream media
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that has allowed for the
rise of people like you?
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Oh, for sure, because
they didn't want to cover
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the kind of stories we
thought were important.
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If you don't cover stories that a
lot of people want to hear about,
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then that's a market
opportunity for other people
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and that vacuum is going
to be kind of filled.
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I'm going to ask you a
few questions, actually,
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which will be "yes" or "no."
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Do you believe that
Hillary Clinton was involved
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in a child pedophilia ring?
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I believe... definitely
that whole story...
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Yes or no. Do you believe
that Hillary Clinton
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was involved in a child pedophilia ring?
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Well, it depends on how you define it,
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because there's multiple
definitions of that.
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On the 3rd of November... so
five days before the election...
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you tweeted...
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"The Clintons were
running a pedophile ring.
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It's been in the emails all of the time.
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We just weren't able to see the code.
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- Yeah, I don't agree with that.
- You don't agree with that?
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I definitely don't think
the Clintons are personally
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running a pedophilia ring.
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- So, why did you write it?
- That was worded imprecisely.
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- It was more that they...
- Why did you write it then?
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Well, Anthony Weiner is a pedophile
and they're connected with him.
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Bill Clinton officiated his wedding.
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So, why did you say this if
you know that it's not true?
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Well, it's not that it's not true,
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it's that it's worded improperly.
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- So, now you take this back?
- I would reword things
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definitely more carefully on Twitter.
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You pretty aggressively tweeted this.
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You tweeted the idea that they were
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very heavily involved
in a pedophilia ring.
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You also hash-tagged
"Pizzagate" very aggressively,
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which led to the shooting
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- _
- in a Comet pizza restaurant in D.C.
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Exclusive tonight on
the conspiracy theory
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that came to be known as "Pizzagate."
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An armed gunman stormed a pizza place
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in Washington, D.C.,
known as Comet Ping Pong.
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Police say Welch drove six hours
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from Salisbury, North Carolina,
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to self-investigate a conspiracy
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known online as "Pizzagate."
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Do you understand,
or if you acknowledge,
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the dangers which are
involved in spreading
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this sort of false information?
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Well, people spun that
whole pizza thing out of...
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completely away from
what I was talking about.
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But can you understand the
connection between the two?
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I definitely believe the Clintons
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are connected with
pedophiles and pedophilia,
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- the pedophiles in Saudi...
- Can you make the connection?
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Do you understand that one
is connected to the other,
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and that you tweeting about Pizzagate
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and you tweeting about the Clintons
being involved in a pedophilia ring
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led to this shooting in broad daylight
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in a pizza restaurant in D.C.?
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No, because I'm not connected
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to what other people are
saying on the Internet.
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- On an given day on the Internet...
- So you absolve
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all responsibility when it
goes out onto the Internet?
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I'm responsible for what I
talk about and what I say.
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I'm not responsible for
what other people talk about.
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You think you're one of the
best journalists in the country?
255
00:09:39,712 --> 00:09:41,479
In Amer... Oh, for sure. Yeah, for sure,
256
00:09:41,514 --> 00:09:44,448
but the people who are
gonna watch this on "VICE,"
257
00:09:44,484 --> 00:09:47,619
or on HBO, are not my people.
258
00:09:47,653 --> 00:09:50,187
So you guys could create
this, like, caricature
259
00:09:50,224 --> 00:09:51,722
of a madman and a monster,
260
00:09:51,759 --> 00:09:53,355
and maybe two or three people
261
00:09:53,355 --> 00:09:55,025
who follow me on Twitter
will, like, even watch it.
262
00:09:55,062 --> 00:09:57,528
So we live, now, in
like parallel structures.
263
00:09:57,563 --> 00:09:59,965
Right now there's no shared
set of facts in the country.
264
00:10:00,000 --> 00:10:02,134
We wanted to know how polarizing
265
00:10:02,168 --> 00:10:04,434
America's media landscape has become.
266
00:10:04,471 --> 00:10:06,504
So, we visited MIT's Media Lab,
267
00:10:06,538 --> 00:10:08,339
where Eugene Yi and his team
268
00:10:08,375 --> 00:10:10,341
analyzed millions of political tweets
269
00:10:10,376 --> 00:10:12,710
throughout the 2016
presidential campaigns.
270
00:10:12,745 --> 00:10:14,645
So, what are we actually
seeing from this graph?
271
00:10:14,681 --> 00:10:17,282
These are people on Twitter
who are following each other.
272
00:10:17,317 --> 00:10:19,850
The red indicates the Trump supporters,
273
00:10:19,885 --> 00:10:21,786
the blue, the Clinton supporters,
274
00:10:21,821 --> 00:10:24,154
and then the green, Sanders supporters.
275
00:10:24,190 --> 00:10:27,692
Each tiny dot represents a
user tweeting about politics,
276
00:10:27,726 --> 00:10:30,995
with the fine lines showing shared
Twitter connections between them,
277
00:10:31,029 --> 00:10:33,864
clustering them into tribal networks.
278
00:10:33,899 --> 00:10:35,832
There's very few
connections, as you see.
279
00:10:35,868 --> 00:10:37,201
It's very sparse.
280
00:10:37,235 --> 00:10:39,669
Trump supporters are connected
281
00:10:39,705 --> 00:10:41,172
and very tightly clustered
282
00:10:41,206 --> 00:10:43,274
into their own information world.
283
00:10:43,308 --> 00:10:45,875
Secondly, if you look at the pattern
284
00:10:45,912 --> 00:10:48,412
of how these Trump
supporters use Twitter,
285
00:10:48,447 --> 00:10:51,148
they actually tweet four times more
286
00:10:51,183 --> 00:10:53,017
than the average Clinton supporter.
287
00:10:53,052 --> 00:10:57,687
So, did it not come as much of
a surprise to you that Trump won,
288
00:10:57,722 --> 00:10:59,456
with all this passion behind him here?
289
00:10:59,490 --> 00:11:01,725
Well, more than the passion, I think.
290
00:11:01,759 --> 00:11:05,394
Seeing where the journalists
are located in this network
291
00:11:05,431 --> 00:11:10,099
was way more indicative of some
kind of missing feedback loop.
292
00:11:11,370 --> 00:11:13,336
What you see here blinking in blue
293
00:11:13,371 --> 00:11:15,605
are the verified journalists,
294
00:11:15,640 --> 00:11:19,075
and the yellow represent
unverified journalists.
295
00:11:19,110 --> 00:11:21,792
So, both the verified and
the unverified journalists
296
00:11:21,793 --> 00:11:23,722
are all the way over here.
There's no journalists
297
00:11:23,724 --> 00:11:25,349
connecting to the
Trump supporters at all.
298
00:11:25,384 --> 00:11:27,451
Yeah, isn't that... isn't
that very interesting?
299
00:11:27,485 --> 00:11:29,885
So, I mean, Trump has a
real point when he says
300
00:11:29,921 --> 00:11:31,687
we're not listening to the
people who really matter
301
00:11:31,724 --> 00:11:35,392
because these people's views
are not being represented.
302
00:11:35,427 --> 00:11:38,327
At least on Twitter,
we see that there is
303
00:11:38,364 --> 00:11:40,629
a separation of where the journalists,
304
00:11:40,665 --> 00:11:42,431
and who the journalists are following,
305
00:11:42,466 --> 00:11:44,033
and no one is really listening
306
00:11:44,068 --> 00:11:47,236
or plugged into, uh, this
Trump-supporter graph.
307
00:11:47,272 --> 00:11:50,572
This suggests that we are
missing, fundamentally in society,
308
00:11:50,607 --> 00:11:53,775
some of the voices that led to, um,
309
00:11:53,811 --> 00:11:55,443
you know, Trump's success.
310
00:11:55,480 --> 00:11:57,179
These voices included many
311
00:11:57,215 --> 00:11:59,982
formerly fringe bloggers
and alt-right personalities
312
00:12:00,018 --> 00:12:01,750
who saw a golden opportunity
313
00:12:01,785 --> 00:12:03,753
to speak directly to Trump supporters
314
00:12:03,788 --> 00:12:05,721
and create a mass movement online
315
00:12:05,756 --> 00:12:07,623
to elect him as president.
316
00:12:07,658 --> 00:12:09,325
All of these false attacks
317
00:12:09,360 --> 00:12:12,327
are absolutely beneficial.
We're only bigger.
318
00:12:12,364 --> 00:12:14,529
Social media feeds across the country
319
00:12:14,565 --> 00:12:16,831
were flooded with their
pro-Trump messaging,
320
00:12:16,866 --> 00:12:19,033
along with highly-targeted adverts
321
00:12:19,068 --> 00:12:21,269
fueled by mass amounts
of personal information
322
00:12:21,304 --> 00:12:22,904
mined from the Internet.
323
00:12:22,940 --> 00:12:24,438
In the case of the Trump campaign,
324
00:12:24,474 --> 00:12:26,140
the controversial
data-targeting company,
325
00:12:26,176 --> 00:12:27,642
Cambridge Analytica,
326
00:12:27,677 --> 00:12:28,876
claimed to have been integral
327
00:12:28,913 --> 00:12:29,977
to Trump's victory,
328
00:12:30,014 --> 00:12:32,346
reportedly using an analytics technique
329
00:12:32,383 --> 00:12:33,948
called psychometrics.
330
00:12:33,984 --> 00:12:36,650
We were able to use data to identify
331
00:12:36,686 --> 00:12:38,720
that there was very large quantities
332
00:12:38,754 --> 00:12:40,154
of persuadable voters there
333
00:12:40,190 --> 00:12:42,290
that could be influenced
334
00:12:42,326 --> 00:12:44,625
to vote for the Trump campaign.
335
00:12:44,661 --> 00:12:46,193
Psychologist Michal Kosinski
336
00:12:46,230 --> 00:12:48,830
is not affiliated with
Cambridge Analytica,
337
00:12:48,865 --> 00:12:51,832
but he is an expert in
the field of psychometrics.
338
00:12:51,868 --> 00:12:54,668
Psychometrics aims at measuring
339
00:12:54,703 --> 00:12:56,403
psychological traits.
340
00:12:56,440 --> 00:12:58,239
A computer model, just by looking
341
00:12:58,274 --> 00:13:01,075
at the books you're reading,
movies that you're watching,
342
00:13:01,110 --> 00:13:04,144
or websites that you're visiting,
343
00:13:04,179 --> 00:13:06,914
would be able to infer
your political views
344
00:13:06,950 --> 00:13:10,851
with an accuracy that is not
achievable to human judges.
345
00:13:10,886 --> 00:13:12,219
Do you think that people
realized, at the time,
346
00:13:12,254 --> 00:13:15,722
that their own digital footprint,
and that this big data was being used
347
00:13:15,759 --> 00:13:19,326
to actually target them
with personalized adverts?
348
00:13:19,361 --> 00:13:21,796
I think that people do not realize
349
00:13:21,831 --> 00:13:25,832
how much an algorithm
can know about them.
350
00:13:25,868 --> 00:13:28,034
The same algorithm can also be used
351
00:13:28,071 --> 00:13:31,705
to reveal your intimate
traits without your knowledge
352
00:13:31,740 --> 00:13:34,575
and without your consent, which clearly
353
00:13:34,610 --> 00:13:37,077
creates huge risks for the individuals
354
00:13:37,113 --> 00:13:39,447
and for the society as a whole.
355
00:13:39,481 --> 00:13:42,048
While Cambridge Analytica
has denied any wrongdoing,
356
00:13:42,085 --> 00:13:44,518
a UK regulatory authority has named them
357
00:13:44,552 --> 00:13:46,753
as part of a widespread investigation
358
00:13:46,788 --> 00:13:48,422
into the use of data analytics
359
00:13:48,457 --> 00:13:50,591
for political purposes in that country.
360
00:13:50,625 --> 00:13:52,826
Is there any proof at
all of the effectiveness
361
00:13:52,861 --> 00:13:55,028
of psychometrics in the
most recent election?
362
00:13:55,063 --> 00:13:56,763
One of the pieces of evidence
363
00:13:56,798 --> 00:13:59,764
is to look at the amount of
money that has been spent on it.
364
00:13:59,801 --> 00:14:03,602
Politicians, very much like
companies, are rational beings
365
00:14:03,638 --> 00:14:06,572
and they won't throw money at
something that doesn't work.
366
00:14:06,607 --> 00:14:09,208
Cambridge Analytica
has since backtracked,
367
00:14:09,244 --> 00:14:12,445
claiming it never used psychometrics
for the Trump campaign after all.
368
00:14:12,480 --> 00:14:14,913
But political campaigns around the world
369
00:14:14,948 --> 00:14:18,150
are pumping money into the
use of big data for elections.
370
00:14:18,186 --> 00:14:20,220
In fact, one of Trump's top donors,
371
00:14:20,254 --> 00:14:23,023
billionaire computer
scientist Robert Mercer,
372
00:14:23,057 --> 00:14:24,456
invested millions of dollars
373
00:14:24,493 --> 00:14:25,957
into Cambridge Analytica.
374
00:14:25,994 --> 00:14:29,028
Mercer did not respond to
our requests for an interview,
375
00:14:29,063 --> 00:14:30,763
But we spoke with David Magerman.
376
00:14:30,798 --> 00:14:32,663
He was a key architect of Mercer's
377
00:14:32,698 --> 00:14:34,599
billion-dollar hedge fund algorithms
378
00:14:34,634 --> 00:14:35,700
for nearly 20 years.
379
00:14:35,735 --> 00:14:38,602
Cambridge Analytica themselves
have denied that they've
380
00:14:38,639 --> 00:14:41,005
really had much impact
at all on the elections.
381
00:14:41,042 --> 00:14:42,706
Do you think that
that could be the case?
382
00:14:42,743 --> 00:14:44,275
I don't believe that's possible.
383
00:14:44,311 --> 00:14:47,678
Bob Mercer is a lot of things.
One thing he is, is brilliant.
384
00:14:47,713 --> 00:14:49,864
If he invested the kind of money
385
00:14:49,865 --> 00:14:51,350
that he invested in Cambridge Analytica,
386
00:14:51,384 --> 00:14:54,253
and if he asked candidates
that he wanted to win
387
00:14:54,288 --> 00:14:55,854
to use Cambridge Analytica,
388
00:14:55,889 --> 00:14:57,655
he's doing it because he knows it works.
389
00:14:57,691 --> 00:15:00,725
Magerman is suing Mercer
for wrongful termination,
390
00:15:00,760 --> 00:15:02,961
claiming he was fired
for speaking to the press
391
00:15:02,995 --> 00:15:05,364
about Mercer's involvement
with the Trump campaign.
392
00:15:05,399 --> 00:15:07,097
Mercer's attorney has described
393
00:15:07,133 --> 00:15:09,600
Magerman's allegations as meritless.
394
00:15:09,635 --> 00:15:12,003
Wealthy people and
businessmen have always given
395
00:15:12,038 --> 00:15:15,105
sizable donations to politicians
and to political campaigns.
396
00:15:15,140 --> 00:15:18,109
What's so different about
what Robert Mercer's done?
397
00:15:18,144 --> 00:15:20,211
I think that there's a new wave
398
00:15:20,245 --> 00:15:22,547
of political donors
399
00:15:22,582 --> 00:15:25,349
that are buying overwhelming influence
400
00:15:25,384 --> 00:15:30,087
over the views of the people
who they're supporting.
401
00:15:30,123 --> 00:15:31,822
One of Mercer's key collaborators
402
00:15:31,857 --> 00:15:32,856
in obtaining that influence
403
00:15:32,893 --> 00:15:35,059
has been Trump's
former chief strategist,
404
00:15:35,095 --> 00:15:37,461
and executive chairman
of Breitbart News,
405
00:15:37,496 --> 00:15:39,230
Steve Bannon.
406
00:15:39,264 --> 00:15:40,293
Bannon also formerly served
407
00:15:40,294 --> 00:15:42,495
as the vice president
of Cambridge Analytica.
408
00:15:42,802 --> 00:15:45,302
And Mercer pumped millions
into Breitbart News,
409
00:15:45,337 --> 00:15:46,870
which was used as a strategic
410
00:15:46,905 --> 00:15:48,871
pro-Trump tool during the election.
411
00:15:48,908 --> 00:15:51,875
Bob Mercer saw, before most people,
412
00:15:51,911 --> 00:15:55,178
the impact that
non-mainstream media could have
413
00:15:55,215 --> 00:15:56,647
on manipulating voters
414
00:15:56,682 --> 00:15:59,450
and on getting people to believe
what he wanted them to believe.
415
00:15:59,485 --> 00:16:01,051
And when the mainstream media
416
00:16:01,086 --> 00:16:02,986
began reporting on false information
417
00:16:03,022 --> 00:16:05,722
spread by these new alternative outlets,
418
00:16:05,758 --> 00:16:08,392
a war over facts arose
between the two sides.
419
00:16:08,427 --> 00:16:10,094
Look, alternative facts are not facts.
420
00:16:10,129 --> 00:16:11,562
They're falsehoods.
421
00:16:11,597 --> 00:16:14,798
This has been fueled by the
president's personal crusade
422
00:16:14,833 --> 00:16:16,765
against the traditional press.
423
00:16:16,801 --> 00:16:18,668
Media outlets
424
00:16:18,702 --> 00:16:21,337
like CNN and MSNBC
425
00:16:21,373 --> 00:16:23,139
are fake news.
426
00:16:23,174 --> 00:16:25,008
We now live in a world where any facts
427
00:16:25,043 --> 00:16:27,244
you disagree with can be labeled "fake,"
428
00:16:27,278 --> 00:16:30,779
leading to a record low of
only 32% of the population
429
00:16:30,815 --> 00:16:32,914
now actually trusting the press.
430
00:16:32,951 --> 00:16:34,650
No, not you. Not you.
431
00:16:34,686 --> 00:16:37,153
- Your organization is terrible.
- You are attacking our news organization.
432
00:16:37,188 --> 00:16:39,489
Your organization is terrible. Let's go.
433
00:16:39,524 --> 00:16:40,889
One of Trump's favorite targets
434
00:16:40,924 --> 00:16:43,460
in his war on mainstream media is CNN
435
00:16:43,495 --> 00:16:46,327
and their senior White House
correspondent, Jim Acosta.
436
00:16:46,364 --> 00:16:48,364
Aren't you concerned, sir,
that you are undermining
437
00:16:48,399 --> 00:16:52,000
the people's faith in the First
Amendment, Freedom of the Press,
438
00:16:52,036 --> 00:16:54,669
when you call stories you
don't like "fake news"?
439
00:16:54,705 --> 00:16:57,905
The public doesn't
believe you people anymore.
440
00:16:57,941 --> 00:17:00,142
Now, maybe I had something
to do with that. I don't know.
441
00:17:00,177 --> 00:17:03,345
We spoke to Acosta about
reporting on the White House
442
00:17:03,380 --> 00:17:05,047
in the fake news era.
443
00:17:05,082 --> 00:17:06,981
Do you feel like this
term, "fake news," has been
444
00:17:07,017 --> 00:17:09,084
hijacked by the administration?
Has been jumped on?
445
00:17:09,118 --> 00:17:11,554
It's being exploited,
no question about it.
446
00:17:11,588 --> 00:17:14,155
They want to damage the credibility
447
00:17:14,192 --> 00:17:16,592
of news organizations that are reporting
448
00:17:16,626 --> 00:17:18,160
factual information
449
00:17:18,195 --> 00:17:21,061
about things that are going
on here at this White House.
450
00:17:21,096 --> 00:17:22,829
And when he calls us fake news,
451
00:17:22,865 --> 00:17:24,464
okay, let's... let's examine that.
452
00:17:24,500 --> 00:17:25,792
I'm not the one who said
453
00:17:25,794 --> 00:17:28,368
that Barack Obama wasn't
born in the United States.
454
00:17:29,372 --> 00:17:30,672
That was fake news.
455
00:17:30,707 --> 00:17:32,839
The President of the United
States did not have a larger
456
00:17:32,875 --> 00:17:36,109
inauguration crowd
size than Barack Obama.
457
00:17:36,144 --> 00:17:37,978
President Trump said that Barack Obama
458
00:17:38,013 --> 00:17:39,880
was wiretapping him at Trump Tower.
459
00:17:39,915 --> 00:17:41,382
That's fake news.
460
00:17:41,417 --> 00:17:45,152
We're reporting on a president who...
461
00:17:45,188 --> 00:17:46,587
has engaged, time and again,
462
00:17:46,623 --> 00:17:48,690
in his own version of fake news.
463
00:17:48,724 --> 00:17:49,868
Why is it, do you think,
464
00:17:49,869 --> 00:17:51,192
that the American public
is so divided right now
465
00:17:51,228 --> 00:17:53,760
and that there is so much trust
in what the president says?
466
00:17:53,796 --> 00:17:56,529
You know, I think that
bitter partisanship
467
00:17:56,565 --> 00:17:59,633
is always going to exist
in the United States.
468
00:17:59,667 --> 00:18:01,836
The extreme left and right
469
00:18:01,871 --> 00:18:04,003
squaring off in bloody demonstrations
470
00:18:04,039 --> 00:18:06,405
in recent weeks.
471
00:18:06,442 --> 00:18:09,175
These people, Antifa, are Neo-communists
472
00:18:09,211 --> 00:18:11,310
and they need to be rejected
by the Democratic party,
473
00:18:11,346 --> 00:18:13,713
just like Republicans have
rejected the Neo-Nazis.
474
00:18:16,285 --> 00:18:18,352
The idea that a president
of the United States
475
00:18:18,386 --> 00:18:19,619
cannot unambiguously
476
00:18:19,654 --> 00:18:22,722
denounce Nazism... is extraordinary.
477
00:18:22,759 --> 00:18:24,391
It's time to expose
478
00:18:24,425 --> 00:18:26,425
the crooked media deceptions,
479
00:18:26,461 --> 00:18:29,162
and to challenge the media
480
00:18:29,196 --> 00:18:32,499
for their role in fomenting divisions.
481
00:18:32,534 --> 00:18:34,901
The danger becomes
482
00:18:34,935 --> 00:18:37,537
when you have somebody
483
00:18:37,573 --> 00:18:38,971
in the Oval Office
484
00:18:39,007 --> 00:18:42,308
who is fomenting an
atmosphere of division.
485
00:18:42,344 --> 00:18:44,911
What's at stake is...
486
00:18:44,945 --> 00:18:47,846
we get to a point in
this country where...
487
00:18:47,883 --> 00:18:51,684
half of the country only believes
something because the president says
488
00:18:51,720 --> 00:18:52,986
that's what the truth is.
489
00:18:53,020 --> 00:18:56,256
Um, the president doesn't get
to decide what the truth is.
490
00:18:58,693 --> 00:19:01,661
In season three, we covered
the search for new drugs
491
00:19:01,695 --> 00:19:03,862
to combat powerful
and sometimes incurable
492
00:19:03,897 --> 00:19:06,999
bacterial infections known as superbugs.
493
00:19:07,034 --> 00:19:09,268
We then followed up that
story with our report
494
00:19:09,304 --> 00:19:11,036
on the use of fecal transplants,
495
00:19:11,070 --> 00:19:13,172
or injecting beneficial bacteria
496
00:19:13,207 --> 00:19:15,674
from one person's gastric
system into another's,
497
00:19:15,710 --> 00:19:17,576
to actually treat these superbugs.
498
00:19:17,612 --> 00:19:19,978
Who would have ever thought
this was, like, the cure?
499
00:19:20,013 --> 00:19:23,214
You just put other people's
poop in you, and it works.
500
00:19:23,250 --> 00:19:24,416
Right.
501
00:19:24,451 --> 00:19:26,451
As this previously-untapped
scientific field
502
00:19:26,487 --> 00:19:27,720
continues to evolve,
503
00:19:27,755 --> 00:19:29,821
the possibilities for human health
504
00:19:29,856 --> 00:19:31,523
could be limitless.
505
00:19:31,558 --> 00:19:34,659
So we sent Thomas Morton to
investigate the next steps
506
00:19:34,694 --> 00:19:36,827
in this emerging field of medicine.
507
00:19:51,076 --> 00:19:52,544
The lady I'm very carefully
508
00:19:52,578 --> 00:19:54,211
trying not to infect with anything
509
00:19:54,247 --> 00:19:56,647
has an aggressive form
of bone marrow cancer.
510
00:19:56,682 --> 00:19:58,482
Her doctors have put
her in sterile isolation
511
00:19:58,518 --> 00:19:59,817
following a massive dose of chemo
512
00:19:59,853 --> 00:20:03,153
which has left her immune
system practically nonexistent.
513
00:20:03,189 --> 00:20:05,021
That chart up there,
they'll start writing down
514
00:20:05,057 --> 00:20:07,124
my red and white blood
cells, my platelets,
515
00:20:07,160 --> 00:20:08,759
and they'll keep track of it every day.
516
00:20:08,794 --> 00:20:11,662
Today is zero, and then tomorrow
will be, you know, plus one.
517
00:20:11,696 --> 00:20:13,029
Okay.
518
00:20:13,066 --> 00:20:14,530
To replenish her white blood cell count,
519
00:20:14,567 --> 00:20:17,500
Anne's about to receive a
routine stem cell transplant,
520
00:20:17,536 --> 00:20:18,869
but to get her gut
back in working order,
521
00:20:18,904 --> 00:20:21,771
she'll have to undergo a
slightly less routine procedure.
522
00:20:21,807 --> 00:20:23,941
The chemotherapy, like,
wipes out everything,
523
00:20:23,977 --> 00:20:26,042
and not only does it
wipe out your blood cells,
524
00:20:26,078 --> 00:20:27,411
but everything in your GI tract.
525
00:20:27,445 --> 00:20:30,780
All this natural flora that's
growing there that protects you
526
00:20:30,816 --> 00:20:32,583
and has things moving along,
527
00:20:32,617 --> 00:20:34,919
is all wiped out as well.
528
00:20:34,953 --> 00:20:38,221
- When did you submit your stool sample?
- A couple of weeks ago.
529
00:20:38,258 --> 00:20:40,557
- It's not fun, right?
- No.
530
00:20:40,593 --> 00:20:43,094
Especially, you know, 'cause I
took the train in from Long Island,
531
00:20:43,128 --> 00:20:44,528
so, I have my bag of poop
532
00:20:44,563 --> 00:20:46,101
and there's just enough room for me
533
00:20:46,102 --> 00:20:47,230
to squeeze in and get my bag of poop,
534
00:20:47,266 --> 00:20:50,000
like, right up in everybody's faces.
535
00:20:50,035 --> 00:20:52,201
So, you're banking your own bacteria?
536
00:20:52,237 --> 00:20:54,069
And then once I have the red blood cells
537
00:20:54,105 --> 00:20:55,971
and white blood cells
building back up again,
538
00:20:56,008 --> 00:20:58,709
then they would, like,
re-inject them into me
539
00:20:58,743 --> 00:21:00,911
- with, like, an enema.
- Okay, yeah.
540
00:21:04,249 --> 00:21:05,868
Dr. Ying Taur and his team
541
00:21:05,869 --> 00:21:07,049
have found that a fecal transplant
542
00:21:07,085 --> 00:21:09,653
can increase the odds of survival
by restoring the diversity
543
00:21:09,688 --> 00:21:12,055
of gut bacteria lost during chemo.
544
00:21:12,089 --> 00:21:14,458
Is there a direct relationship
between the diversity
545
00:21:14,492 --> 00:21:17,126
of flora in the gut and immune health?
546
00:21:17,162 --> 00:21:18,693
In terms of the microbiome,
547
00:21:18,730 --> 00:21:20,363
if you look at a transplant patient's
548
00:21:20,398 --> 00:21:22,865
diversity during their treatment,
549
00:21:22,901 --> 00:21:25,134
if you had a low diversity,
550
00:21:25,170 --> 00:21:28,038
then you were over
five times more likely
551
00:21:28,073 --> 00:21:30,673
to die of transplant-related causes,
552
00:21:30,708 --> 00:21:33,608
compared to if you had a nice diversity
553
00:21:33,644 --> 00:21:36,378
of healthy, health-promoting bacteria
554
00:21:36,414 --> 00:21:37,247
in your gut.
555
00:21:37,281 --> 00:21:40,049
There's this amazing set of creatures
556
00:21:40,085 --> 00:21:43,185
living in all of us, working 24/7,
557
00:21:43,221 --> 00:21:44,586
for mutual benefit.
558
00:21:44,622 --> 00:21:47,557
And we're seeing links everywhere.
559
00:21:47,592 --> 00:21:50,226
We're seeing links to
prevention of infection,
560
00:21:50,261 --> 00:21:51,927
to allergies,
561
00:21:51,962 --> 00:21:53,462
autoimmune disorders,
562
00:21:53,498 --> 00:21:56,332
mood, autism, depression.
563
00:21:56,366 --> 00:21:58,601
All these creatures working inside us
564
00:21:58,635 --> 00:22:01,604
are what scientists refer
to as the human microbiome.
565
00:22:01,638 --> 00:22:02,971
Now, this has opened
566
00:22:03,007 --> 00:22:04,840
a whole new dimension in medicine.
567
00:22:04,875 --> 00:22:07,241
You know, it's not science
fiction anymore, as you can see,
568
00:22:07,278 --> 00:22:08,410
it's out on the frontlines.
569
00:22:08,445 --> 00:22:10,680
I don't... I don't recall
any fecal transplants
570
00:22:10,714 --> 00:22:14,750
in the science fiction I read or saw.
571
00:22:14,786 --> 00:22:16,952
Since the 19th century,
germ theory has been
572
00:22:16,988 --> 00:22:18,887
the dominant model of medical thinking.
573
00:22:18,923 --> 00:22:21,289
It holds that microorganisms
like bacteria and viruses
574
00:22:21,325 --> 00:22:24,558
are responsible for infecting
our bodies and causing disease.
575
00:22:24,595 --> 00:22:26,461
Therefore, the best way to avoid disease
576
00:22:26,497 --> 00:22:29,097
is to cleanse our body and
its surroundings of germs.
577
00:22:29,133 --> 00:22:31,665
Unfortunately, this
antibacterial dragnet
578
00:22:31,701 --> 00:22:35,003
has not only helped eliminate dangerous
pathogens from our environment,
579
00:22:35,038 --> 00:22:37,705
it's also knocked out the good
microorganisms that live in us
580
00:22:37,740 --> 00:22:39,773
and are responsible
for healthy digestion,
581
00:22:39,809 --> 00:22:42,076
immune reaction, and, as
researchers are learning,
582
00:22:42,113 --> 00:22:44,645
an ever-widening number of vital roles.
583
00:22:46,583 --> 00:22:48,349
We've done an awful lot of work
584
00:22:48,385 --> 00:22:50,118
looking at how the built environment
585
00:22:50,153 --> 00:22:51,487
that we've constructed around ourselves
586
00:22:51,521 --> 00:22:54,923
affects how our microbes
develop in our microbiome.
587
00:22:54,958 --> 00:22:57,625
Dr. Jack Gilbert is the
head of microbiome research
588
00:22:57,661 --> 00:22:58,859
at Argonne National Labs.
589
00:22:58,895 --> 00:23:01,929
He has found that living in areas
with high microbial diversity
590
00:23:01,963 --> 00:23:05,232
significantly reduces the occurrence
of asthma and other diseases.
591
00:23:05,268 --> 00:23:08,669
We've got places like Amish
communities here in America,
592
00:23:08,703 --> 00:23:10,938
whereby the children
are exposed to animals
593
00:23:10,972 --> 00:23:13,273
and dust and dirt environments
594
00:23:13,308 --> 00:23:15,910
that their ancestors were
exposed to on a regular basis.
595
00:23:15,944 --> 00:23:18,578
And those children have
very low levels of asthma,
596
00:23:18,614 --> 00:23:20,780
very low levels of atopy,
597
00:23:20,816 --> 00:23:22,517
so, you know, allergic disease,
598
00:23:22,551 --> 00:23:24,251
and even lower levels of autism.
599
00:23:24,287 --> 00:23:25,853
If we go into the developing world,
600
00:23:25,887 --> 00:23:29,057
those children have
many, many, many more
601
00:23:29,092 --> 00:23:30,723
microbial exposures.
602
00:23:30,759 --> 00:23:33,527
But there's a cost-benefit
analysis there,
603
00:23:33,561 --> 00:23:35,761
that they also have much higher levels
604
00:23:35,797 --> 00:23:36,895
of infant mortality.
605
00:23:36,932 --> 00:23:39,865
Because their access
to medical prevention
606
00:23:39,901 --> 00:23:42,035
for diseases and other complications
607
00:23:42,070 --> 00:23:43,302
is much more limited.
608
00:23:43,337 --> 00:23:45,372
Would the best of both
worlds be to, you know,
609
00:23:45,406 --> 00:23:47,874
grow up somewhere with the
medicine available to you,
610
00:23:47,909 --> 00:23:50,009
to you know, not die when
you're sick, obviously,
611
00:23:50,045 --> 00:23:53,980
but, um, nevertheless be exposed
to much more bacteria than we are,
612
00:23:54,015 --> 00:23:56,249
or much more microorganisms?
613
00:23:56,285 --> 00:23:58,651
Absolutely, I mean,
we've shifted too far away
614
00:23:58,686 --> 00:24:00,953
from the environments
which supported our health,
615
00:24:00,989 --> 00:24:02,689
and now we need to move
backwards a little bit.
616
00:24:02,723 --> 00:24:04,691
This is why it's so
important to go to Africa,
617
00:24:04,726 --> 00:24:06,326
and study populations of people
618
00:24:06,361 --> 00:24:08,994
which we wouldn't normally have
access to in this community.
619
00:24:14,335 --> 00:24:16,001
So, we did. We came to Africa.
620
00:24:16,037 --> 00:24:19,071
We're in the Central
African Republic right now
621
00:24:19,106 --> 00:24:20,807
in a town called Bayanga,
622
00:24:20,842 --> 00:24:22,474
smack in the heart of Africa.
623
00:24:22,509 --> 00:24:24,876
We're following Dr. Andres Gomez,
624
00:24:24,913 --> 00:24:28,180
who is a microbiome researcher.
625
00:24:28,215 --> 00:24:29,982
When we talk about Westerners,
626
00:24:30,018 --> 00:24:32,484
with our industrialized microbiomes,
627
00:24:32,519 --> 00:24:34,319
we lack diversity.
628
00:24:34,355 --> 00:24:37,256
To learn what's missing from
the industrialized microbiome,
629
00:24:37,290 --> 00:24:39,491
researchers like Dr. Gomez
have turned to the planet's
630
00:24:39,527 --> 00:24:41,527
few remaining pre-industrial societies,
631
00:24:41,561 --> 00:24:44,229
to see what their guts
have that our guts don't.
632
00:24:44,263 --> 00:24:46,364
Dr. Gomez hit fecal pay
dirt while looking at
633
00:24:46,398 --> 00:24:48,933
the microbiome's Mountain
Gorillas in Central Africa.
634
00:24:48,969 --> 00:24:51,103
He realized that the stool
samples he was taking from them
635
00:24:51,137 --> 00:24:52,871
bore an uncanny
resemblance to samples taken
636
00:24:52,905 --> 00:24:55,272
from the people living
in the surrounding forest,
637
00:24:55,307 --> 00:24:56,842
called the BaAka.
638
00:24:56,876 --> 00:24:58,644
I collected the samples,
639
00:24:58,679 --> 00:25:00,645
sequenced their microbiomes,
and that's where I discovered
640
00:25:00,681 --> 00:25:03,280
this was something... this
was something important here.
641
00:25:03,316 --> 00:25:05,583
The BaAka are traditional
hunter-gatherers
642
00:25:05,618 --> 00:25:08,286
who live in the
Dzanga-Sangha forest preserve.
643
00:25:08,320 --> 00:25:10,255
Their lifestyle is not
only pre-industrial,
644
00:25:10,289 --> 00:25:12,057
but pre-agricultural.
645
00:25:12,092 --> 00:25:13,892
The fact that the BaAka's
microbial diversity
646
00:25:13,926 --> 00:25:16,359
is closer to gorillas
than industrialized people,
647
00:25:16,394 --> 00:25:18,228
suggests that their
environment and lifestyle
648
00:25:18,263 --> 00:25:20,329
have an enormous effect
on their microbiomes.
649
00:25:20,365 --> 00:25:22,365
So, we hiked for two
hours into the jungle
650
00:25:22,401 --> 00:25:24,801
to see what both these things look like.
651
00:25:27,205 --> 00:25:30,141
This is it. So, these
are all their huts.
652
00:25:31,978 --> 00:25:33,832
_
653
00:25:33,913 --> 00:25:36,681
Everybody is now
mobilizing to go hunting.
654
00:25:36,682 --> 00:25:39,970
_
655
00:25:42,171 --> 00:25:45,800
_
656
00:25:45,825 --> 00:25:47,825
He's telling the animals
to come into his net.
657
00:25:49,126 --> 00:25:51,795
The BaAka hunt by stringing
up nets in a large circle...
658
00:25:53,365 --> 00:25:56,031
then flushing out animals from the
encircled forest into said nets.
659
00:25:57,802 --> 00:26:00,103
Which isn't always as
cut and dry as it sounds.
660
00:26:02,674 --> 00:26:05,608
That's, I guess, the fourth
animal that's gotten through a net.
661
00:26:07,112 --> 00:26:09,778
Yeah, today's really
a gather day, for sure.
662
00:26:13,685 --> 00:26:16,452
Part of what Andres is studying,
663
00:26:16,488 --> 00:26:17,653
in terms of the microbiome,
664
00:26:17,690 --> 00:26:19,855
a good deal of that relates
to what we'll be gathering:
665
00:26:19,891 --> 00:26:21,458
the foods that they eat,
666
00:26:21,492 --> 00:26:24,492
and also the bark from trees
and stuff they use as medicines.
667
00:26:24,528 --> 00:26:29,598
But the environment itself has a
major impact on your microbiome.
668
00:26:29,634 --> 00:26:32,567
So, if you can't climb
a tree and collect honey,
669
00:26:32,604 --> 00:26:35,070
you're not man enough to have a wife.
670
00:26:35,106 --> 00:26:36,305
Wow.
671
00:26:36,340 --> 00:26:39,762
_
672
00:26:41,947 --> 00:26:43,113
Ugh.
673
00:26:43,147 --> 00:26:45,381
Oof.
674
00:26:45,415 --> 00:26:48,384
- Is that shrimp?
- Pull it. Keep pulling.
675
00:26:50,587 --> 00:26:52,688
Whoa! I did not expect that to come out.
676
00:26:52,723 --> 00:26:55,258
That's food, right?
677
00:26:55,292 --> 00:26:58,026
The forest not only acts as the
BaAka's live-in grocery store,
678
00:26:58,061 --> 00:26:59,493
but also their pharmacy.
679
00:26:59,528 --> 00:27:01,596
The barks and leaves
the BaAka use as medicine
680
00:27:01,632 --> 00:27:03,898
may seem primitive to
the average CVS shopper,
681
00:27:03,933 --> 00:27:05,134
but unlike modern antibiotics,
682
00:27:05,169 --> 00:27:07,701
which don't always discriminate
between good and bad bacteria,
683
00:27:07,738 --> 00:27:10,271
they're a lot easier on the microbiome.
684
00:27:10,307 --> 00:27:12,974
We're gonna scrape this bark.
685
00:27:12,976 --> 00:27:16,532
_
686
00:27:16,542 --> 00:27:18,012
Oh, you put your breast milk in it
687
00:27:18,048 --> 00:27:21,016
and then you would use
that and put it in your ear.
688
00:27:21,050 --> 00:27:23,050
This is a medicine for headaches.
689
00:27:23,086 --> 00:27:24,853
You rub it up in your hands.
690
00:27:26,722 --> 00:27:27,789
Whoa!
691
00:27:28,959 --> 00:27:30,357
Ah.
692
00:27:30,394 --> 00:27:31,926
It burns a little bit.
693
00:27:31,961 --> 00:27:33,595
Yeah, it does. It burns a lot.
694
00:27:33,630 --> 00:27:35,363
- Well, headache gone.
- Yeah.
695
00:27:35,398 --> 00:27:38,400
Two foods that Dr. Gomez is
particularly interested in,
696
00:27:38,434 --> 00:27:40,968
due to their potential connection
to the BaAka's microbiome,
697
00:27:41,003 --> 00:27:42,869
are cocoa leaves and forest yams,
698
00:27:42,905 --> 00:27:46,207
which have a much higher fiber content
than their Western counterparts.
699
00:27:46,241 --> 00:27:48,676
This is the thing, if we
have the right microbiome,
700
00:27:48,677 --> 00:27:52,980
- Right.
- like these people have been adapted to for millennia,
701
00:27:53,016 --> 00:27:56,451
those things are now gonna
be detrimental for you.
702
00:27:56,486 --> 00:27:58,185
Like how a cow can eat
grass, but we can't.
703
00:27:58,221 --> 00:28:00,454
Like how a cow can eat
grass, but we can't, yeah.
704
00:28:00,490 --> 00:28:02,324
The cocoa leaves the
BaAka eat by the pile
705
00:28:02,358 --> 00:28:05,026
are likewise ill-suited
to our industrialized guts.
706
00:28:05,060 --> 00:28:07,294
What role do these
play in the microbiome?
707
00:28:07,329 --> 00:28:09,563
Fermentation. I wouldn't be surprised
708
00:28:09,597 --> 00:28:11,865
if the bloom of
specific bacterial groups
709
00:28:11,900 --> 00:28:14,634
is a response to this
specific cocoa leaf.
710
00:28:14,670 --> 00:28:15,836
The BaAka's fiber-rich diet
711
00:28:15,871 --> 00:28:18,338
doesn't just make taking
stool samples a lot easier,
712
00:28:18,374 --> 00:28:21,741
the breakdown and fermentation
of complex foods in their colon
713
00:28:21,777 --> 00:28:24,076
helps populate the lower
reaches of the GI tract
714
00:28:24,112 --> 00:28:26,078
with a greater diversity of microbes.
715
00:28:26,114 --> 00:28:27,910
_
716
00:28:27,911 --> 00:28:32,173
_
717
00:28:32,173 --> 00:28:36,089
_
718
00:28:39,327 --> 00:28:42,194
Actually being able to see what
the BaAka eat and how they get it,
719
00:28:42,230 --> 00:28:45,397
helps explain some of the
findings in Dr. Gomez's research
720
00:28:45,432 --> 00:28:47,432
that lab science alone could not.
721
00:28:47,469 --> 00:28:49,501
This basic anthropological observation,
722
00:28:49,537 --> 00:28:50,836
combined with the fecal samples,
723
00:28:50,873 --> 00:28:52,072
helps paint a complete picture
724
00:28:52,106 --> 00:28:54,574
of the BaAka's microbial health,
725
00:28:54,608 --> 00:28:55,875
which could, in turn,
726
00:28:55,911 --> 00:28:57,911
help us restore or own
depleted modern guts
727
00:28:57,945 --> 00:28:59,612
to their original nature.
728
00:28:59,646 --> 00:29:01,480
With every advance
729
00:29:01,516 --> 00:29:04,017
comes a caveat, a sacrifice.
730
00:29:04,051 --> 00:29:07,653
So, we were able to
extend our lifespans,
731
00:29:07,689 --> 00:29:09,721
but at the same time,
732
00:29:09,758 --> 00:29:12,125
we have starved our microbiomes,
733
00:29:12,160 --> 00:29:15,227
and depletion of
diversity's correlated to...
734
00:29:15,262 --> 00:29:16,627
weakened immune systems.
735
00:29:16,663 --> 00:29:18,630
So, that's something we've lost then.
736
00:29:18,664 --> 00:29:20,731
We've lost them, and
the real question is,
737
00:29:20,768 --> 00:29:22,634
"Are we able to recover them back?"
738
00:29:22,669 --> 00:29:25,537
I think future generations
are gonna be enjoying
739
00:29:25,571 --> 00:29:29,074
the fruits of the things we're
doing right now with the microbiome.58179
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