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Every 17 minutes in America,
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someone is killed by a gun.
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It's a wave of violence
that political debate
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can't seem to stop.
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Can science
point the way forward
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by pinpointing
how the shootings spread,
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predicting gun crimes
before they happen,
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and uncovering
how guns infect our minds?
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Is this an epidemic
that can be cured?
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Could gun crime be a virus?
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Space, time, life itself,
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the secrets of the cosmos lie
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through the wormhole.
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Captions by vitac...
www.Vitac.Com
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captions paid for by
discovery communications
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if gun violence is a disease,
we are suffering mightily.
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In Chicago, where shootings
on a summer weekend
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soar into the double digits.
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In Newtown, where 20 children
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never came home from school.
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In Orlando,
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where a night of dancing
became a bloodbath.
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Every day,
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new holes are opened up
in some family's life.
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Is gun control the answer,
or is it safer to carry one?
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The answer may come,
not from politicians,
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but from scientists,
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who are tracking
the spread of gun crime
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like a biological pandemic.
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Reports of a
school shooting in progress
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are coming out
of Colorado today.
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They started shooting everyone
in the cafeteria,
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and then you could hear them
laughing and running upstairs.
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Since columbine, the heartbreak
has been broadcast live.
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Since Orlando,
it's been screened.
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The names have been
running together.
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It's a flood of data.
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How do we understand it?
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Sherry towers is a statistician.
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In her work,
streams of data tell stories.
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One of the things
that I've noticed
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as I've been sitting here
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is that, once people
lock their bikes there,
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they tend to walk
underneath that tree
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and go to the path.
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- Bicycle, lock, tree, repeat.
- Sherry can make a prediction.
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Soon, bikers will wear
a path in the grass.
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We can use mathematical
and statistical models
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to study
far more complex patterns
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than just the ones we're seeing
on this school campus today.
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For instance, these models
can be used to predict
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the spread of disease
within a population.
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We can use these models
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to try to forecast trends
in the stock market.
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We can also use these models
to examine earthquakes
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and try to predict when and
where there will be aftershocks.
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But one day in 2014,
Sherry's safe world
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of spreadsheets and stats
came unmoored.
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She was heading to a meeting
at Purdue university
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when the event was canceled.
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A student had been shot
on campus.
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I realized that, that
was the third school shooting
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I had heard about in
approximately a 10-day period.
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And I wondered to myself
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if this was just
a statistical fluke
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or whether there was
other patterns involved.
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Then, Sherry had a radical idea.
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Could the media itself be
the mechanism of transmission?
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Could stories about shootings
actually lead to more shootings,
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triggering an epidemic?
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We decided
to focus on gun tragedies
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that get the most
media attention,
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and those are school shootings
and mass killings.
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Sherry's team
went story by story
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and broke the events
into discrete pieces of data...
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Type of shooting, map
location, date, and time.
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It was the largest,
most comprehensive survey
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of its kind.
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Was each shooting
an isolated event?
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With all the data in, Sherry
was able to isolate a pattern.
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It didn't matter where
an event occurred.
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The important variable was when.
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What we found was,
there is very strong evidence
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of clustering in time.
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When there is an event
that occurs,
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one of these gun tragedies
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tends to trigger
a similar tragedy
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in the very near future.
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And this bunching together
in time
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is actually the hallmark
of contagion.
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We typically
use the word "contagion"
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to describe
the spread of diseases,
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but Sherry says it also applies
to mass shootings.
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It appears the gun violence
really does spread
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like a contagious disease.
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Unlike influenza,
that spreads by direct,
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person-to-person contact,
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the medium for spreading
the contagion is media itself.
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And, as with a biological virus,
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Sherry's data show
there is a definite period
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during which any one incident of
gun violence remains contagious.
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What we find is that,
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the contagious period
seems to last around 13 days,
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which also seems to be,
approximately,
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the same time period
of the attention span
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that's given
to these high-profile shootings,
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like, for instance,
the Newtown tragedy
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or the San Bernardino tragedy.
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13 days...
One famously unlucky number.
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Sherry hopes she'll never make
another discovery like it.
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This is, by far,
the hardest study, emotionally,
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that we've ever undertaken.
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You're reading the details about
how children have gotten killed,
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and you realize that
these are entire families
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who aren't here anymore.
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Sherry believes that,
as long as the media
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keeps giving mass shootings
wall-to-wall coverage,
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the gun virus
will continue to spread
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and claim even more victims
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unless someone intervenes.
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Shots fired.
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Mass shootings
are the most visible aspect
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of America's problem
with gun violence.
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But vastly more Americans
are killed in isolated shootings
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on city streets.
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And many of these killings
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receive little or no
media coverage.
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But renowned epidemiologist
Gary Slutkin
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thinks they, too,
bear the hallmarks of a virus.
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Gary made his name
by fighting contagious diseases
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all around the world.
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But when he finally
returned to Chicago,
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he realized his hometown
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harbored an epidemic
of a different kind.
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When I began
to look at violence in Chicago,
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I didn't really know
very much about it.
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But I did ask, first, to see
the charts and graphs and maps,
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and the data on it looked
exactly like the epidemic maps
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that I had been working with
in all these other problems.
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To Gary's trained eye,
the clustering of gun crimes
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resembled the way
a contagious disease
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sweeps through
densely populated areas.
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He'd seen cholera do this
in refugee camps in Somalia
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during the 1990s.
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So, what we have here
is a representation
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of a refugee camp.
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The white chips here
are representing the population,
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and the red,
a person with cholera.
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And when the infection comes,
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it can spread
from one person to another.
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Stopping cholera
isn't complicated.
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A strict regimen
of washing hands,
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boiling water, and quarantine
will do it.
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But Gary struggled to get these
practices adopted in Somalia
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because the refugees
were suspicious of outsiders.
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Then, Gary had an inspiration...
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He could hire refugees and
train them as health workers.
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These locals
successfully interrupted
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the spread of the disease
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because they had
what Gary did not...
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Street cred.
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In Chicago, Gary saw a city
repeating the mistake
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he'd once made himself...
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Fighting an outbreak
with outsiders
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who weren't trusting.
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The cops pulled up,
and they left.
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They're scared.
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They're scared of the community.
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So, Gary founded an organization
called "cure violence"
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with the mission to hire and
train trusted local aid workers.
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He calls them
"the interrupters."
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Almost all of them
know the violence
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of the streets firsthand.
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Well, I've been shot five times,
you know,
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on different occasions.
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The man that was watching us
got shot in his head.
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I was part of the violence.
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Now, I'm part of the solution.
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Because of who they are,
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interrupters can go
where police cannot.
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They don't carry handcuffs
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and they don't serve
search warrants.
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Instead, they carry
a simple message...
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You don't need a gun
to settle an argument.
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Crazy, man.
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You two guys, man,
y'all been around here
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on a lot of bull, both of y'all.
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Robbing people, breaking
in windows, all kinds of stuff.
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Don't get it all twisted.
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Once upon a time,
this man was out here too.
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Through the interrupters,
Gary keeps the focus
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where he thinks it belongs...
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On preventing disease,
not punishing crimes.
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So, Jacob, you from
this community.
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You're going to be
hearing gunshots tonight?
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Probably, 'cause if you tell
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for whatever I did yesterday,
it's just a cycle.
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If you want to use violence
and shoot somebody as a way
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to solve your differences,
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we trying to say
that's not the way to go
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'cause you can't
take back a life.
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It's a simple,
but revolutionary, approach,
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and it has shown
dramatic results.
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We started in February.
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By march,
it was already 67% down.
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It was amazing.
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There was this park across the
street that they'd never use.
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Now, their kids
are playing there.
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The epidemic's no longer there.
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Gary has now
rolled out "cured violence"
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in locations across the country.
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On average, the program
has reduced shootings by 44%
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and killings by up to 56%
in the neighborhoods it targets.
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It's an approach born
from medical techniques.
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To Gary, its success
proves gun crime
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is no different from a virus.
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You can't see gun crime
under a microscope,
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00:11:07,830 --> 00:11:10,600
but if it spreads like a virus,
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00:11:10,600 --> 00:11:13,800
if we can fight it
like we fight a virus,
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00:11:13,810 --> 00:11:16,670
maybe we need to stop
thinking about gun crime
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as a political issue
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and start treating it
as a medical issue.
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Some researchers already are.
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They've discovered a new way
to predict shootings
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and to stop them.
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Every virus spreads
in its own unique way.
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Mosquitos spread malaria.
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00:11:39,660 --> 00:11:41,890
The common cold
relies on the sneeze
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00:11:41,890 --> 00:11:45,130
to spread its germs
through the air.
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00:11:45,130 --> 00:11:48,130
On the Internet, memes go viral
when they spread
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from person to person
across a social network.
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If we're going to stem
the epidemic of gun violence,
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we have to discover the precise
means of its transmission.
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In Chicago,
the police department
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00:12:04,520 --> 00:12:06,480
is trying to do just that
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00:12:06,480 --> 00:12:10,250
by launching a high-tech
and highly controversial program
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to reduce gun crime.
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This is the heart
of the operation.
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It connects to 29,000
surveillance cameras.
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It has microphones
to record gunshots in real time,
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00:12:25,000 --> 00:12:27,200
and the brain behind all of this
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is an algorithm
designed to predict
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who is going to be
the next victim of a gun crime
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00:12:32,380 --> 00:12:35,010
before the crime happens.
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00:12:35,010 --> 00:12:40,450
It was developed by Illinois
tech professor Miles Wernick.
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00:12:40,450 --> 00:12:41,880
The algorithm tries to see,
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00:12:41,890 --> 00:12:44,550
how many times
have you been shot recently,
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00:12:44,560 --> 00:12:47,420
how many times have you
been arrested on things
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00:12:47,430 --> 00:12:49,030
like weapons charges.
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00:12:49,030 --> 00:12:51,390
And all of those
play into a pattern,
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00:12:51,400 --> 00:12:54,000
which turns out
to be very accurate
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00:12:54,000 --> 00:12:56,300
in predicting a person's risk.
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00:12:56,300 --> 00:12:59,040
Miles developed his
algorithm from one he'd used
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00:12:59,040 --> 00:13:03,940
to detect the spread
of cancer cells in MRI scans.
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00:13:03,940 --> 00:13:07,040
But Chicago pd
deputy chief Jonathan Lewin
256
00:13:07,050 --> 00:13:11,410
has used it to develop a
politically charged heat list...
257
00:13:11,420 --> 00:13:13,550
The 400 people in Chicago
258
00:13:13,550 --> 00:13:17,790
most likely to be involved
in violent crime.
259
00:13:17,790 --> 00:13:19,760
So, we were wondering,
could we look at
260
00:13:19,760 --> 00:13:21,960
person-based prediction methods,
261
00:13:21,960 --> 00:13:25,260
and could we look at a way
to develop a risk score
262
00:13:25,260 --> 00:13:27,330
for a specific
person's likelihood
263
00:13:27,330 --> 00:13:29,500
for becoming involved
in future gun crimes?
264
00:13:29,500 --> 00:13:31,530
This is a subject who,
as you can see,
265
00:13:31,540 --> 00:13:33,340
was first arrested
when he was 13.
266
00:13:33,340 --> 00:13:35,000
He was 14 in that picture.
267
00:13:35,010 --> 00:13:38,170
See, he's 15.
268
00:13:38,180 --> 00:13:40,410
And this, we see too often.
269
00:13:40,410 --> 00:13:42,110
The subject ended up
being killed...
270
00:13:42,110 --> 00:13:44,010
Fatal, multiple gunshot wounds.
271
00:13:44,020 --> 00:13:47,120
Everything we're doing
is trying to prevent this.
272
00:13:47,120 --> 00:13:50,120
Is the heat list
government overreach,
273
00:13:50,120 --> 00:13:52,590
an invasion of privacy?
274
00:13:52,590 --> 00:13:54,590
Or can such
tightly targeted policing
275
00:13:54,590 --> 00:13:57,960
actually stop the spread
of gun violence?
276
00:13:57,960 --> 00:14:01,260
Yale professor and Chicago
native Andrew Papachristos
277
00:14:01,270 --> 00:14:03,900
believes we need more
and better data
278
00:14:03,900 --> 00:14:07,700
to predict and prevent
the spread of urban crime.
279
00:14:07,710 --> 00:14:10,710
His social statistics work
was the inspiration
280
00:14:10,710 --> 00:14:13,310
for Chicago's current program.
281
00:14:13,310 --> 00:14:16,480
So, really, my stock and trade
is dealing with big data sets,
282
00:14:16,480 --> 00:14:17,750
data sets like arrest records,
283
00:14:17,750 --> 00:14:19,750
immunization records,
census records,
284
00:14:19,750 --> 00:14:22,750
survey records,
and pulling them all together.
285
00:14:22,750 --> 00:14:25,890
So, when I was growing up
in Chicago, there were 800, 900,
286
00:14:25,890 --> 00:14:27,890
nearing 1,000 homicides a year.
287
00:14:27,890 --> 00:14:30,390
And kids all around me
were getting pulled into gangs,
288
00:14:30,390 --> 00:14:31,960
other types of stuff.
289
00:14:31,960 --> 00:14:34,260
Still, I've never had anybody
pull a gun on me.
290
00:14:34,270 --> 00:14:35,300
I've never been shot at.
291
00:14:35,300 --> 00:14:37,470
The question is, "why?"
292
00:14:37,470 --> 00:14:41,000
Andrew doesn't believe
he just got lucky.
293
00:14:41,010 --> 00:14:43,310
His research shows
that gun crime
294
00:14:43,310 --> 00:14:46,010
is tied to limited networks
of people...
295
00:14:46,010 --> 00:14:49,550
Far smaller networks
than you might expect.
296
00:14:49,550 --> 00:14:53,720
And you don't have to be
a criminal to be a victim.
297
00:14:53,720 --> 00:14:55,950
Jonylah Watkins
was just six months old
298
00:14:55,950 --> 00:14:57,820
when she was shot to death.
299
00:14:57,820 --> 00:15:00,060
She was lying
in the back seat of a car
300
00:15:00,060 --> 00:15:02,930
while her father
changed her diaper.
301
00:15:02,930 --> 00:15:04,460
She was so innocent.
302
00:15:04,460 --> 00:15:06,930
Her murder looked truly random,
and I was interested
303
00:15:06,930 --> 00:15:09,170
to see how random
it actually was.
304
00:15:09,170 --> 00:15:11,970
Investigators learned
Jonylah's father
305
00:15:11,970 --> 00:15:14,500
was the target of the attack.
306
00:15:14,510 --> 00:15:16,940
To the media,
her death was a tragic case
307
00:15:16,940 --> 00:15:20,810
of being in the wrong place
at the wrong time.
308
00:15:20,810 --> 00:15:23,910
But as a statistician,
Andrew wanted to know
309
00:15:23,920 --> 00:15:27,320
whether Jonylah's death
could have been predicted.
310
00:15:27,320 --> 00:15:30,920
Jonylah didn't have
almost any of the risk factors
311
00:15:30,920 --> 00:15:32,660
that we usually look at
in these models...
312
00:15:32,660 --> 00:15:34,760
Being young, being male,
313
00:15:34,760 --> 00:15:36,030
living in a particular
neighborhood,
314
00:15:36,030 --> 00:15:37,430
being part of a street gang.
315
00:15:37,430 --> 00:15:40,000
But what those really tell you
are about aggregate risks.
316
00:15:40,000 --> 00:15:42,400
The vast majority of people
with those attributes,
317
00:15:42,400 --> 00:15:45,570
they never shoot anybody
nor do they ever get shot.
318
00:15:45,570 --> 00:15:48,240
To find Jonylah's risk factor,
319
00:15:48,240 --> 00:15:51,640
Andrew peered into
the network of people around her
320
00:15:51,640 --> 00:15:56,450
using a forensic tool called
"social network analysis."
321
00:15:58,620 --> 00:16:01,280
It measures relationships
between people,
322
00:16:01,290 --> 00:16:04,550
counting their number
and their strength.
323
00:16:04,560 --> 00:16:07,220
Who were Jonylah's parents?
324
00:16:07,230 --> 00:16:11,090
Who were their friends
and their friends' friends?
325
00:16:11,100 --> 00:16:14,800
All of those connections
carry risk factors.
326
00:16:14,800 --> 00:16:17,500
So, one of the variables
that really helps you identify
327
00:16:17,500 --> 00:16:20,040
who's at risk,
who's a potential victim,
328
00:16:20,040 --> 00:16:22,240
is exposure to violence.
329
00:16:22,240 --> 00:16:24,470
Even if you're not
directly engaging
330
00:16:24,480 --> 00:16:27,440
in these sorts of incidents,
but people around you are,
331
00:16:27,450 --> 00:16:30,510
it can increase your individual
probability of getting shot
332
00:16:30,510 --> 00:16:33,480
upwards to 500% to 900%.
333
00:16:33,480 --> 00:16:37,650
For Jonylah, the greatest risks
stemmed from her father.
334
00:16:37,660 --> 00:16:42,290
He had been shot in the past,
and almost 40% of his associates
335
00:16:42,290 --> 00:16:44,890
had been victims of violence.
336
00:16:44,900 --> 00:16:47,930
Statistics don't assign blame
to anyone,
337
00:16:47,930 --> 00:16:50,300
but mathematically speaking,
338
00:16:50,300 --> 00:16:53,040
anyone belonging to
her father's social network
339
00:16:53,040 --> 00:16:57,540
faced dramatically higher risks.
340
00:16:57,540 --> 00:16:59,880
If her father
is literally living in a world
341
00:16:59,880 --> 00:17:01,680
where his friends
are getting shot,
342
00:17:01,680 --> 00:17:04,910
she's at risk by her own
connections to this network.
343
00:17:04,920 --> 00:17:07,780
Andrew's social network
analysis shows that gun crime
344
00:17:07,790 --> 00:17:11,420
is highly localized
within social networks.
345
00:17:11,420 --> 00:17:14,190
In one of Chicago's
high-crime neighborhoods,
346
00:17:14,190 --> 00:17:18,530
41% of all gun homicides
took place in a network
347
00:17:18,530 --> 00:17:22,600
that represented just 4%
of the population.
348
00:17:22,600 --> 00:17:24,870
You have a very small
percentage of the population
349
00:17:24,870 --> 00:17:26,740
that are responsible
for the vast majority
350
00:17:26,740 --> 00:17:28,900
of the violence as victims.
351
00:17:28,910 --> 00:17:32,440
You can use that information
to use prevention efforts,
352
00:17:32,440 --> 00:17:34,810
as well as enforcement
after its... when needed,
353
00:17:34,810 --> 00:17:36,010
to get those individuals.
354
00:17:36,010 --> 00:17:38,910
And in fact,
to save their lives.
355
00:17:38,920 --> 00:17:41,250
But focusing on
small social networks
356
00:17:41,250 --> 00:17:45,190
to prevent gun crime
also has a down side.
357
00:17:45,190 --> 00:17:48,960
In Chicago, the police
department has faced criticism
358
00:17:48,960 --> 00:17:53,130
for tracking people
based only on who they know.
359
00:17:53,130 --> 00:17:56,930
But it claims the heat list
has a social benefit.
360
00:17:56,930 --> 00:17:59,440
A cop may come knock
on your door,
361
00:17:59,440 --> 00:18:02,140
but a social worker
would be there, too.
362
00:18:02,140 --> 00:18:03,610
The goal is not to be punitive.
363
00:18:03,610 --> 00:18:05,710
The goal is to try to
reduce the chance
364
00:18:05,710 --> 00:18:06,810
that somebody's gonna be
365
00:18:06,810 --> 00:18:08,680
continuing the cycle
of violence.
366
00:18:08,680 --> 00:18:12,720
The jury is still out
on Chicago's heat list,
367
00:18:12,720 --> 00:18:16,490
but no one expects it to prevent
every gun death.
368
00:18:16,490 --> 00:18:20,790
So, how can we protect ourselves
from the gun virus?
369
00:18:20,790 --> 00:18:26,800
Should we all go out
and buy ourselves a gun?
370
00:18:31,060 --> 00:18:33,560
You've seen it in the movies.
371
00:18:33,560 --> 00:18:36,660
Our hero saves the day
with a well-aimed shot.
372
00:18:36,670 --> 00:18:38,800
It's the end of the road
for you, Malone.
373
00:18:41,670 --> 00:18:44,700
This is the heart
of the gun debate.
374
00:18:44,710 --> 00:18:46,740
Does it take a good guy
with a gun
375
00:18:46,740 --> 00:18:49,740
to stop a bad guy with a gun?
376
00:18:49,750 --> 00:18:51,280
I ain't done yet.
377
00:18:54,450 --> 00:18:59,350
Or would it just mean
more bullets flying around?
378
00:18:59,350 --> 00:19:03,790
Do guns make us
more safe, or less?
379
00:19:06,800 --> 00:19:10,530
Epidemiologist Charlie Branas
started out as a paramedic.
380
00:19:10,530 --> 00:19:12,830
On the tough streets
of Philadelphia,
381
00:19:12,830 --> 00:19:15,500
he treated many gunshot wounds.
382
00:19:15,500 --> 00:19:19,140
As a paramedic, I was exposed
to cases of gun violence,
383
00:19:19,140 --> 00:19:22,310
but it became very frustrating
not to be able
384
00:19:22,310 --> 00:19:23,540
to prevent those cases,
385
00:19:23,550 --> 00:19:26,810
to simply see them
on a regular basis.
386
00:19:26,820 --> 00:19:29,880
It was here in Philadelphia
where the right to bear arms
387
00:19:29,890 --> 00:19:34,090
was added to
the U.S. constitution in 1791.
388
00:19:34,090 --> 00:19:37,120
Today, it's reeling
from gun violence
389
00:19:37,130 --> 00:19:40,430
with almost five shootings
a day.
390
00:19:40,430 --> 00:19:43,400
So, now, Charlie is returning
to the crime scenes
391
00:19:43,400 --> 00:19:45,570
he once visited as a paramedic
392
00:19:45,570 --> 00:19:49,240
with the skills
of an epidemiologist.
393
00:19:49,240 --> 00:19:52,570
And he's asking
one burning question...
394
00:19:52,570 --> 00:19:56,410
Does carrying a gun
make you safer?
395
00:19:56,410 --> 00:19:58,950
It is important
to begin to think about
396
00:19:58,950 --> 00:20:01,310
whether a gun is
protective or perilous,
397
00:20:01,320 --> 00:20:03,820
and if you are in possession
of a firearm,
398
00:20:03,820 --> 00:20:07,490
under what conditions will you
be able to protect yourself?
399
00:20:07,490 --> 00:20:11,830
His first challenge was how
to study this scientifically.
400
00:20:11,830 --> 00:20:14,060
Charlie knew he couldn't
hand out guns
401
00:20:14,060 --> 00:20:17,200
and wait to see
which subjects got shot.
402
00:20:17,200 --> 00:20:20,670
But epidemiology offers
a different approach...
403
00:20:20,670 --> 00:20:23,800
Find people
who've contracted a disease
404
00:20:23,810 --> 00:20:27,240
and then work backward
to discover how they caught it.
405
00:20:27,240 --> 00:20:29,980
To identify cases
of the gun virus,
406
00:20:29,980 --> 00:20:32,150
Charlie got his research team
hooked up
407
00:20:32,150 --> 00:20:34,610
with Philadelphia's
police department.
408
00:20:37,350 --> 00:20:40,120
We set up, with the city
police department,
409
00:20:40,120 --> 00:20:42,660
a system whereby
we were notified,
410
00:20:42,660 --> 00:20:44,420
typically on the day
of a shooting,
411
00:20:44,430 --> 00:20:47,490
but soon after, within hours.
412
00:20:47,500 --> 00:20:49,530
As the shootings roved in,
413
00:20:49,530 --> 00:20:53,470
the team collected key details
about each victim.
414
00:20:53,470 --> 00:20:55,200
Where was he at the time?
415
00:20:55,200 --> 00:20:58,170
To what age group and race
did he belong?
416
00:20:58,170 --> 00:21:02,010
Was he under the influence
of drugs or alcohol?
417
00:21:02,010 --> 00:21:05,710
And most importantly,
was he carrying a gun?
418
00:21:05,710 --> 00:21:10,620
But in epidemiology, you can't
pinpoint why a person gets sick
419
00:21:10,620 --> 00:21:14,450
until you compare him
to a similar person who hasn't.
420
00:21:14,460 --> 00:21:16,790
So, for every gunshot victim,
421
00:21:16,790 --> 00:21:19,330
Charlie's team had to find
a comparable person...
422
00:21:19,330 --> 00:21:23,000
during the past month...
who was not shot.
423
00:21:23,000 --> 00:21:26,470
As a case came in,
depending on their age,
424
00:21:26,470 --> 00:21:28,700
their race, and their gender,
425
00:21:28,700 --> 00:21:30,900
we called around,
through random digit dialing
426
00:21:30,910 --> 00:21:35,110
across the city, to find someone
roughly of the same age,
427
00:21:35,110 --> 00:21:37,910
race, and gender,
to ask them quickly
428
00:21:37,910 --> 00:21:39,250
about their experiences
429
00:21:39,250 --> 00:21:41,650
at the time of a case
and shooting.
430
00:21:41,650 --> 00:21:44,980
And lastly,
they asked their interviewees
431
00:21:44,990 --> 00:21:47,590
whether they themselves
had been carrying a gun
432
00:21:47,590 --> 00:21:50,260
at the time the crime took place
across town.
433
00:21:50,260 --> 00:21:51,960
How old are you?
Do you own a gun?
434
00:21:51,960 --> 00:21:54,090
Where were you at 10:00 P.M.
last Wednesday?
435
00:21:54,100 --> 00:21:56,430
Were you in possession
of a firearm at this time?
436
00:21:56,430 --> 00:22:00,170
For over 2.5 years, Charlie
and his team collected data
437
00:22:00,170 --> 00:22:04,440
on almost 3,500 shootings.
438
00:22:04,440 --> 00:22:07,810
They ended up
with 677 shooting victims
439
00:22:07,810 --> 00:22:10,980
for whom they had
a good comparison group.
440
00:22:10,980 --> 00:22:14,480
Now, Charlie could answer
the central question...
441
00:22:14,480 --> 00:22:18,020
Are you less likely to be shot
if you're carrying a gun?
442
00:22:19,820 --> 00:22:22,260
We expected to see
a protective effect,
443
00:22:22,260 --> 00:22:23,990
and we simply could not find it,
444
00:22:23,990 --> 00:22:26,930
no matter how we analyzed
the data.
445
00:22:26,930 --> 00:22:30,960
In fact, Charlie saw
exactly the opposite.
446
00:22:30,970 --> 00:22:33,200
Philadelphians
were four and a half times
447
00:22:33,200 --> 00:22:35,400
more likely to be shot
448
00:22:35,400 --> 00:22:38,440
if they were in possession
of a gun.
449
00:22:38,440 --> 00:22:40,410
One of the things
that we hypothesized
450
00:22:40,410 --> 00:22:42,710
from our case-control study
was that,
451
00:22:42,710 --> 00:22:45,880
possession of a firearm
changed peoples' actions...
452
00:22:45,880 --> 00:22:47,080
Mere possession of it.
453
00:22:47,080 --> 00:22:49,820
And so, that, perhaps,
people reacted in ways
454
00:22:49,820 --> 00:22:52,050
they would have otherwise
not reacted
455
00:22:52,050 --> 00:22:54,390
had they not had a firearm.
456
00:22:54,390 --> 00:22:58,020
Charlie plans future research
to see whether firearm training
457
00:22:58,030 --> 00:23:00,960
could make guns more protective.
458
00:23:00,960 --> 00:23:02,860
But his research
on gun possession
459
00:23:02,860 --> 00:23:05,030
sends a simple message...
460
00:23:05,030 --> 00:23:08,640
If you want to lower
your chances of being shot,
461
00:23:08,640 --> 00:23:11,740
don't carry a gun.
462
00:23:11,740 --> 00:23:16,210
Is the best way to immunize
yourself against the gun virus
463
00:23:16,210 --> 00:23:19,480
not to put a firearm
in your hand?
464
00:23:19,480 --> 00:23:23,950
Well, that may not be enough,
because science is finding
465
00:23:23,950 --> 00:23:27,720
guns do strange things
to our minds.
466
00:23:27,720 --> 00:23:32,760
The mere sight of one can
trigger an outburst of violence.
467
00:23:37,100 --> 00:23:39,570
We've all heard it said...
468
00:23:39,570 --> 00:23:44,370
"guns don't kill people.
People kill people."
469
00:23:44,370 --> 00:23:47,040
In other words, the gun
isn't what matters...
470
00:23:47,040 --> 00:23:50,010
It takes a finger
to pull the trigger.
471
00:23:50,010 --> 00:23:54,210
But new research
casts doubt on this idea.
472
00:23:54,220 --> 00:23:57,480
Maybe it's not
the people who fire them,
473
00:23:57,490 --> 00:24:00,820
but guns alone,
that are fueling the epidemic.
474
00:24:05,090 --> 00:24:09,030
Why do people shoot one another?
475
00:24:09,030 --> 00:24:10,530
For over 25 years,
476
00:24:10,530 --> 00:24:13,730
Ohio state university
psychologist Brad bushman
477
00:24:13,740 --> 00:24:17,400
has been asking that question.
478
00:24:17,410 --> 00:24:23,010
But recently, he's been asking
it in an unusual setting.
479
00:24:23,010 --> 00:24:25,480
This state-of-the-art simulator
480
00:24:25,480 --> 00:24:29,420
was designed to study
the behavior of drivers.
481
00:24:29,420 --> 00:24:33,450
But Brad hijacked it
to study aggression.
482
00:24:33,460 --> 00:24:35,590
In this experiment,
drivers encountered
483
00:24:35,590 --> 00:24:37,690
a number of frustrating events,
484
00:24:37,690 --> 00:24:41,430
such as somebody
mimicking their behavior,
485
00:24:41,430 --> 00:24:44,330
somebody cutting them off
in traffic,
486
00:24:44,330 --> 00:24:46,330
construction zones.
487
00:24:46,330 --> 00:24:48,970
We all know about road rage,
488
00:24:48,970 --> 00:24:52,240
but Brad wanted to see
if he could trigger it
489
00:24:52,240 --> 00:24:54,470
with something
seemingly unrelated.
490
00:24:56,010 --> 00:24:59,550
We placed a stimulus object
in the passenger's seat.
491
00:24:59,550 --> 00:25:03,180
What we told participants
when they got in the car was,
492
00:25:03,180 --> 00:25:04,620
"this car is being used
493
00:25:04,620 --> 00:25:08,190
in a number of different
experiments."
494
00:25:08,190 --> 00:25:10,290
All right. And again,
I just wanted to apologize.
495
00:25:10,290 --> 00:25:12,430
The other experiment was
supposed to put it away,
496
00:25:12,430 --> 00:25:14,530
but they didn't,
so you can just ignore that.
497
00:25:14,530 --> 00:25:15,700
Brad and his team
498
00:25:15,700 --> 00:25:18,630
measured how the
tennis-racket subjects drove,
499
00:25:18,630 --> 00:25:20,400
how frustrated they got,
500
00:25:20,400 --> 00:25:22,900
whether they broke
any traffic laws,
501
00:25:22,900 --> 00:25:26,110
or leaned on their horns.
502
00:25:26,110 --> 00:25:28,340
Nothing unusual happened.
503
00:25:28,340 --> 00:25:32,250
But the tennis racket was
just there to set a baseline.
504
00:25:32,250 --> 00:25:34,410
Brad's real question was,
what would happen
505
00:25:34,420 --> 00:25:37,420
when a gun was sitting
on the passenger's seat.
506
00:25:37,420 --> 00:25:39,990
So, he's breaking
the speed limit again.
507
00:25:39,990 --> 00:25:42,190
He's pretty impatient, I think.
508
00:25:42,190 --> 00:25:45,590
Oh, dude.
Right in the middle of the road.
509
00:25:45,590 --> 00:25:46,590
- Oh, man.
- Wow, over the center.
510
00:25:46,590 --> 00:25:48,760
That's a double yellow line.
511
00:25:48,760 --> 00:25:51,400
Yeah, I think he's really
an aggressive driver.
512
00:25:51,400 --> 00:25:56,940
In driver after driver, Brad saw
the same thing happening.
513
00:25:56,940 --> 00:25:59,970
What we discovered
in this experiment is that,
514
00:25:59,970 --> 00:26:03,540
the mere presence of a gun
in the passenger's seat
515
00:26:03,550 --> 00:26:06,350
made drivers more aggressive.
516
00:26:06,350 --> 00:26:10,020
It primes or activates
aggressive thoughts in memory.
517
00:26:10,020 --> 00:26:12,750
We call this
"the weapons effect."
518
00:26:12,750 --> 00:26:17,420
in a fight, having a gun
would give you the upper hand.
519
00:26:17,430 --> 00:26:20,230
So, perhaps,
Brad's armed drivers
520
00:26:20,230 --> 00:26:23,730
consciously chose
to be more aggressive.
521
00:26:23,730 --> 00:26:27,270
But Brad thinks we may not be
so logical...
522
00:26:27,270 --> 00:26:30,400
At least, not according to
a second experiment.
523
00:26:32,340 --> 00:26:34,440
Driver behavior's
a great laboratory
524
00:26:34,440 --> 00:26:35,880
for studying aggression,
525
00:26:35,880 --> 00:26:37,810
not just in a driving simulator,
526
00:26:37,810 --> 00:26:40,310
but in the real world.
527
00:26:40,320 --> 00:26:44,320
Researchers did an experiment
where they had a pickup truck
528
00:26:44,320 --> 00:26:45,920
pull up to an intersection.
529
00:26:45,920 --> 00:26:50,220
Driver remained at the stop
for 12 seconds
530
00:26:50,230 --> 00:26:53,160
to see what the motorist
trapped behind him would do.
531
00:27:05,010 --> 00:27:06,670
A few honked.
532
00:27:06,670 --> 00:27:11,340
Most sat quietly until they
pulled out and went around.
533
00:27:11,350 --> 00:27:15,980
In a second version, the truck
blocking the intersection
534
00:27:15,980 --> 00:27:18,550
had a rifle on a gun rack.
535
00:27:34,670 --> 00:27:37,370
What's amazing about this study
is that, people do the opposite
536
00:27:37,370 --> 00:27:39,840
of what you would expect.
537
00:27:39,840 --> 00:27:42,240
Motorists were more likely
to honk their horn
538
00:27:42,240 --> 00:27:44,210
when there is a gun
in the back window
539
00:27:44,210 --> 00:27:45,440
of the pickup truck
540
00:27:45,450 --> 00:27:48,050
than if there is no gun
in the back window.
541
00:27:50,290 --> 00:27:52,750
It's an instinctive response,
not a logical one.
542
00:27:52,750 --> 00:27:54,850
There's nothing logical
about it.
543
00:27:57,890 --> 00:28:02,190
Why does a gun
provoke an aggressive response,
544
00:28:02,200 --> 00:28:05,670
even when it's in
someone else's possession?
545
00:28:05,670 --> 00:28:11,300
Brad thinks it comes down to
the wiring in our brains.
546
00:28:11,310 --> 00:28:14,210
Human beings are very good
at identifying
547
00:28:14,210 --> 00:28:17,280
potentially dangerous stimuli
in their environment,
548
00:28:17,280 --> 00:28:20,710
such as spiders and snakes.
549
00:28:20,720 --> 00:28:23,350
It's called
the "fight-or-flight response,"
550
00:28:25,250 --> 00:28:28,420
and it happens
faster than we can think.
551
00:28:28,420 --> 00:28:30,720
Brad believes that
the sight of a gun
552
00:28:30,730 --> 00:28:34,530
activates that same system.
553
00:28:34,530 --> 00:28:39,400
We've been repeatedly exposed
to images of guns and violence
554
00:28:39,400 --> 00:28:41,770
that the link
between guns and violence
555
00:28:41,770 --> 00:28:44,400
in the human brain
is very strong
556
00:28:44,410 --> 00:28:46,310
because people recognize them
557
00:28:46,310 --> 00:28:49,410
as a source of threat
and danger.
558
00:28:49,410 --> 00:28:52,810
In other words,
a gun doesn't merely shoot.
559
00:28:52,810 --> 00:28:56,680
It plants the idea of violence
in your mind.
560
00:28:56,680 --> 00:28:58,780
And by triggering
those feelings,
561
00:28:58,790 --> 00:29:02,150
a gun is actually prompting you
to use it.
562
00:29:02,160 --> 00:29:05,160
Of course, it takes a finger
to pull the trigger,
563
00:29:05,160 --> 00:29:08,090
but by increasing
these aggressive impulses,
564
00:29:08,100 --> 00:29:11,500
the trigger may also be
pulling the finger.
565
00:29:14,700 --> 00:29:19,470
Today, there are more
than 300 million guns in America
566
00:29:19,470 --> 00:29:23,940
silently triggering
our aggressive impulses.
567
00:29:23,950 --> 00:29:26,950
A few of us give in to them.
568
00:29:29,220 --> 00:29:34,350
But if you catch the gun virus,
do you have it for life?
569
00:29:34,360 --> 00:29:38,120
One scientist thinks
he's found a way to cure it.
570
00:29:40,200 --> 00:29:43,740
Gun violence,
whether it's mass shootings
571
00:29:43,740 --> 00:29:47,140
or the ceaseless daily litany
of killings,
572
00:29:47,140 --> 00:29:51,450
is almost always committed
by one type of person...
573
00:29:51,450 --> 00:29:53,580
Young men.
574
00:29:53,580 --> 00:29:57,290
If we're going to eradicate
the gun virus,
575
00:29:57,290 --> 00:30:02,460
we need therapies to target
those who have been infected.
576
00:30:02,460 --> 00:30:04,390
Is there any way to cure them?
577
00:30:09,000 --> 00:30:12,100
Neuroscientist Kent Kiehl
is trying to understand
578
00:30:12,100 --> 00:30:14,040
the brains of those who kill.
579
00:30:14,040 --> 00:30:15,140
You dialed 9-1-1.
580
00:30:15,140 --> 00:30:16,170
What's the location
of your emergency?
581
00:30:16,170 --> 00:30:17,440
Sandy hook elementary school.
582
00:30:17,440 --> 00:30:18,710
I keep hearing shooting.
583
00:30:18,710 --> 00:30:20,240
It's still happening.
584
00:30:20,240 --> 00:30:22,810
I was approached by the parents
who had lost their children
585
00:30:22,810 --> 00:30:25,150
at Sandy hook elementary school
in that tragedy.
586
00:30:25,150 --> 00:30:27,520
And they asked if there was
any science that we could do
587
00:30:27,520 --> 00:30:28,820
that might help us understand
588
00:30:28,820 --> 00:30:31,250
why people might commit
such types of crimes,
589
00:30:31,250 --> 00:30:32,420
and how we might be able
590
00:30:32,420 --> 00:30:34,360
to develop better ways
of preventing them.
591
00:30:34,360 --> 00:30:38,460
The tragedy of
Sandy hook haunts our society.
592
00:30:38,460 --> 00:30:43,660
In just five short minutes,
20 first-graders were murdered,
593
00:30:43,670 --> 00:30:46,070
along with six teachers.
594
00:30:46,070 --> 00:30:51,110
The killer was male,
20, and disturbed...
595
00:30:53,280 --> 00:30:58,250
Not unlike the young juveniles
Kent has come to study.
596
00:30:58,250 --> 00:31:00,110
All of these kids
that we were working with
597
00:31:00,120 --> 00:31:02,080
were in an
ultra-supermax facility...
598
00:31:02,090 --> 00:31:04,650
The highest risk facility
in the state of new Mexico...
599
00:31:04,650 --> 00:31:07,560
Because they had committed
one or more felonies.
600
00:31:07,560 --> 00:31:09,990
And I'm not talking,
you know, simple things.
601
00:31:09,990 --> 00:31:12,390
These are serious
multiple felons.
602
00:31:12,400 --> 00:31:14,260
A lot of the time,
the crimes that are committed
603
00:31:14,260 --> 00:31:16,860
by these kids
use handguns or firearms.
604
00:31:16,870 --> 00:31:19,530
And almost every one of them
has had or owns a firearm,
605
00:31:19,540 --> 00:31:22,000
or has acquired one.
606
00:31:22,010 --> 00:31:24,870
It's really something
that's just commonplace.
607
00:31:24,870 --> 00:31:28,880
Kent studies the brains of
these violent young offenders,
608
00:31:28,880 --> 00:31:33,050
but his subjects can't come
to an MRI lab,
609
00:31:33,050 --> 00:31:36,480
so he brings the lab to them.
610
00:31:36,490 --> 00:31:37,720
So, we designed and created
611
00:31:37,720 --> 00:31:39,990
a state-of-the-art
mobile MRI system.
612
00:31:39,990 --> 00:31:43,290
We've scanned the brains
of over 4,000 inmates,
613
00:31:43,290 --> 00:31:47,900
developed the world's largest
repository of youth populations.
614
00:31:47,900 --> 00:31:49,730
Kent is trying
to detect patterns
615
00:31:49,730 --> 00:31:50,930
in brain anatomy
616
00:31:50,930 --> 00:31:54,170
that are correlated
with violent behavior.
617
00:31:54,170 --> 00:31:57,840
He scanned the brains
of 25 incarcerated young men
618
00:31:57,840 --> 00:31:59,670
who had committed murder
619
00:31:59,680 --> 00:32:03,610
and contrasted them with
the brains of 150 offenders
620
00:32:03,610 --> 00:32:05,410
who had not.
621
00:32:05,420 --> 00:32:08,880
He looked for differences
in areas involved with emotion,
622
00:32:08,890 --> 00:32:12,750
impulse control,
and decision-making...
623
00:32:12,760 --> 00:32:15,320
The amygdala,
anterior cingulate,
624
00:32:15,330 --> 00:32:17,290
and orbital frontal cortex.
625
00:32:20,930 --> 00:32:24,930
The scans revealed
stark differences.
626
00:32:24,930 --> 00:32:27,640
Turns out that,
parts of this amygdala
627
00:32:27,640 --> 00:32:30,270
are actually not well-developed
in youths that commit homicides,
628
00:32:30,270 --> 00:32:32,040
compared to their peers.
629
00:32:32,040 --> 00:32:33,640
As well,
kids that commit homicide
630
00:32:33,640 --> 00:32:36,410
have less
orbital frontal cortex.
631
00:32:36,410 --> 00:32:37,710
Parts of the brain
that we have found
632
00:32:37,710 --> 00:32:40,050
that are not developed normally,
or developed differently,
633
00:32:40,050 --> 00:32:41,250
are actually parts of the brain
634
00:32:41,250 --> 00:32:42,750
that are kind of
the last to develop.
635
00:32:42,750 --> 00:32:46,190
They usually don't reach full
maturity until age, about, 25.
636
00:32:46,190 --> 00:32:48,960
It appears almost, like, even
though they're 15, 16 years old,
637
00:32:48,960 --> 00:32:51,560
their brains might only
really be 10, 11 years old.
638
00:32:51,560 --> 00:32:53,890
With 85% accuracy,
639
00:32:53,900 --> 00:32:57,260
Kent could guess which juveniles
had committed murder
640
00:32:57,270 --> 00:33:00,330
just by looking at
their brain scans.
641
00:33:00,340 --> 00:33:04,340
Do these differences mean some
people are incurably violent,
642
00:33:07,110 --> 00:33:08,910
or is there a saving grace
643
00:33:08,910 --> 00:33:11,310
in the brain's capacity
to change?
644
00:33:11,310 --> 00:33:13,510
People are only really kind of
beginning to understand this,
645
00:33:13,520 --> 00:33:16,450
but the brain continues
to change throughout your life.
646
00:33:16,450 --> 00:33:17,620
All the experiences
that you have,
647
00:33:17,620 --> 00:33:19,390
they continue to shape and mold
the brain.
648
00:33:25,560 --> 00:33:31,100
But most prison experiences are
not helpful for inmate's brains.
649
00:33:31,100 --> 00:33:32,830
Unfortunately,
in a correctional environment,
650
00:33:32,840 --> 00:33:36,440
there's really no behaviors
that get reinforced positively.
651
00:33:36,440 --> 00:33:38,540
If you're quiet and you're good,
and you don't do anything,
652
00:33:38,540 --> 00:33:41,010
what happens? Nothing.
653
00:33:41,010 --> 00:33:43,080
The only thing
that gets these individuals
654
00:33:43,080 --> 00:33:45,410
any type of social interaction
is aggression.
655
00:33:53,260 --> 00:33:56,090
It's a very dangerous
environment for everyone.
656
00:33:56,090 --> 00:33:57,630
That's called "compression."
657
00:33:57,630 --> 00:33:59,390
It compresses them into
a very limited set
658
00:33:59,400 --> 00:34:00,960
of behavioral things
that they do.
659
00:34:04,830 --> 00:34:09,170
The term "compression"
comes from diving.
660
00:34:09,170 --> 00:34:11,440
As a diver descends
into the depths,
661
00:34:11,440 --> 00:34:13,440
he encounters greater
and greater pressure
662
00:34:13,440 --> 00:34:15,110
from the water.
663
00:34:15,110 --> 00:34:19,580
After a while, his body adjusts.
664
00:34:19,580 --> 00:34:21,820
But at this point,
returning to the surface
665
00:34:21,820 --> 00:34:24,750
actually becomes dangerous.
666
00:34:24,750 --> 00:34:27,920
Kent thinks it is just as hard
for imprisoned kids
667
00:34:27,920 --> 00:34:32,360
to return to positive
kinds of interaction.
668
00:34:32,360 --> 00:34:34,400
The diving analogy
is a good one because,
669
00:34:34,400 --> 00:34:36,160
you know, you don't just pop
right back up to the surface
670
00:34:36,170 --> 00:34:37,160
and you're healthy again.
671
00:34:37,170 --> 00:34:38,670
That can kill you, right?
672
00:34:39,900 --> 00:34:43,070
Kent is now studying
kids who've been through
673
00:34:43,070 --> 00:34:47,140
a therapeutic program
called "decompression."
674
00:34:47,140 --> 00:34:49,880
It asks social workers
and prison guards
675
00:34:49,880 --> 00:34:51,710
to reward good behaviors
676
00:34:51,710 --> 00:34:54,050
instead of just
punishing bad ones.
677
00:34:56,990 --> 00:34:58,690
And so, if the kids
were good today,
678
00:34:58,690 --> 00:35:00,450
and they talked to someone,
and they engaged with someone,
679
00:35:00,460 --> 00:35:02,960
and they didn't get in fights,
they'll get some reward.
680
00:35:02,960 --> 00:35:04,020
And they learn, through these
681
00:35:04,030 --> 00:35:06,560
positive-reinforcement
strategies, that,
682
00:35:06,560 --> 00:35:10,260
good things can happen to
them if they act better.
683
00:35:10,270 --> 00:35:12,970
12 months
after decompression therapy,
684
00:35:12,970 --> 00:35:16,340
Kent conducted
a second series of scans.
685
00:35:16,340 --> 00:35:21,010
He saw that critical regions
had begun to grow and change.
686
00:35:21,010 --> 00:35:23,380
There's an area of
the brain that helps to regulate
687
00:35:23,380 --> 00:35:25,510
decision-making
and capacity for decision,
688
00:35:25,520 --> 00:35:27,780
and help you understand
when you make mistakes,
689
00:35:27,780 --> 00:35:30,220
and that area of the brain is
called the "anterior cingulate,"
690
00:35:30,220 --> 00:35:32,820
and we are actually seeing
an increase in activity there.
691
00:35:32,820 --> 00:35:35,790
These circuits that control or
help to regulate your behavior,
692
00:35:35,790 --> 00:35:38,430
regulate your thinking,
they are getting better.
693
00:35:38,430 --> 00:35:42,360
Many underage felons
are ultimately released
694
00:35:42,370 --> 00:35:44,270
and have to make
the dangerous transition
695
00:35:44,270 --> 00:35:46,900
back to a free society.
696
00:35:46,900 --> 00:35:49,600
A group of inmates
not treated with decompression
697
00:35:49,610 --> 00:35:53,110
went on to kill 16 more people.
698
00:35:53,110 --> 00:35:58,050
But inmates who received
the therapy killed no one.
699
00:35:58,050 --> 00:36:00,510
One of the things that
the programs try to teach them
700
00:36:00,520 --> 00:36:02,350
is how not to act impulsively.
701
00:36:02,350 --> 00:36:04,250
Whether that's
with the firearm or without,
702
00:36:04,250 --> 00:36:05,850
it's likely to lead
to better outcomes
703
00:36:05,860 --> 00:36:07,790
if they don't act impulsively.
704
00:36:07,790 --> 00:36:09,760
Kent may have found
a way to cure those
705
00:36:09,760 --> 00:36:13,260
who've been infected
by the gun virus.
706
00:36:13,260 --> 00:36:16,500
But this therapy
can only reach a select few,
707
00:36:16,500 --> 00:36:19,700
and only after they have already
gone to jail.
708
00:36:19,700 --> 00:36:22,940
Now, one young scientist
is working on a different way
709
00:36:22,940 --> 00:36:26,170
to solve the epidemic
of gun crime...
710
00:36:26,180 --> 00:36:30,310
Fire a different type of gun.
711
00:36:32,520 --> 00:36:36,160
We've seen how
the gun virus spreads.
712
00:36:36,160 --> 00:36:39,160
Mass shootings move
through the media.
713
00:36:39,160 --> 00:36:42,930
Street violence spreads
through social networks.
714
00:36:42,930 --> 00:36:45,070
Holding a gun or seeing one
715
00:36:45,070 --> 00:36:48,970
triggers the urge
to commit more violence.
716
00:36:48,970 --> 00:36:51,910
We all want to stop
this pandemic.
717
00:36:51,910 --> 00:36:55,810
One man decided to focus
on a part of the disease
718
00:36:55,810 --> 00:36:57,680
that has long been overlooked.
719
00:37:01,190 --> 00:37:02,180
Howdy.
720
00:37:02,190 --> 00:37:03,220
Hey, Kai, how are you?
721
00:37:03,220 --> 00:37:05,490
Like many young people
in Colorado,
722
00:37:05,490 --> 00:37:09,490
19-year-old Kai Kloepfer
grew up at the gun range.
723
00:37:09,490 --> 00:37:11,230
Do you want the shoot
the Ar-15 today?
724
00:37:11,230 --> 00:37:12,230
Definitely. I'd love to.
725
00:37:12,230 --> 00:37:13,230
Awesome.
726
00:37:13,230 --> 00:37:14,400
Growing up in Colorado,
727
00:37:14,400 --> 00:37:16,870
firearms were always
a part of the culture...
728
00:37:16,870 --> 00:37:18,500
Maybe not as much as,
say, Texas,
729
00:37:18,500 --> 00:37:21,470
but they're definitely accepted.
730
00:37:21,470 --> 00:37:26,080
Most high schoolers don't dwell
on the problems caused by guns.
731
00:37:26,080 --> 00:37:29,080
Kai was no different,
until four years ago,
732
00:37:29,080 --> 00:37:33,050
when gun violence struck
just down the road.
733
00:37:33,050 --> 00:37:37,320
315 and 314 for
a shooting at century theatres.
734
00:37:37,320 --> 00:37:40,460
We got another person
shot in the leg, a female.
735
00:37:40,460 --> 00:37:44,160
I got people running out
of the theater. They're shot.
736
00:37:44,160 --> 00:37:47,230
In Aurora, Colorado,
the century theatre
737
00:37:47,230 --> 00:37:48,960
became a scene
of horrific slaughter
738
00:37:48,970 --> 00:37:52,000
when a young man opened fire.
739
00:37:52,000 --> 00:37:56,310
He killed a dozen people
and wounded 70 more.
740
00:37:56,310 --> 00:37:59,910
Like all Americans,
Kai was deeply shaken.
741
00:37:59,910 --> 00:38:02,780
But in the dark days
that followed,
742
00:38:02,780 --> 00:38:05,510
he began to think
about solutions.
743
00:38:05,520 --> 00:38:07,120
At the time,
I was looking for a project
744
00:38:07,120 --> 00:38:09,650
that could have
some societal impact.
745
00:38:09,650 --> 00:38:11,620
And with the
Aurora-theatre shooting,
746
00:38:11,620 --> 00:38:13,660
I realized that I need
to create a gun
747
00:38:13,660 --> 00:38:15,930
that only works
for certain people.
748
00:38:15,930 --> 00:38:19,330
And so, that's why I'm working
on smart-gun technology.
749
00:38:21,900 --> 00:38:24,030
Kai thought that,
by designing a gun
750
00:38:24,040 --> 00:38:26,370
that will only fire
for its owner,
751
00:38:26,370 --> 00:38:30,740
he might help prevent
some acts of mass homicide.
752
00:38:30,740 --> 00:38:34,940
Then, he realized that, out
of more than 30,000 gun deaths
753
00:38:34,950 --> 00:38:39,050
each year, two-thirds
weren't homicides at all.
754
00:38:39,050 --> 00:38:42,250
There's an even larger problem
of suicides
755
00:38:42,250 --> 00:38:45,250
and accidental gun death
with misuse of firearms
756
00:38:45,260 --> 00:38:47,060
that almost nobody talks about.
757
00:38:47,060 --> 00:38:49,460
21,000 firearm suicides,
758
00:38:49,460 --> 00:38:51,360
children that, every 30 minutes,
759
00:38:51,360 --> 00:38:53,460
are killed or injured
with a firearm.
760
00:38:53,460 --> 00:38:56,070
Kai knew many of
these victims were using a gun
761
00:38:56,070 --> 00:38:58,170
that didn't belong to them.
762
00:38:58,170 --> 00:38:59,870
Would these people have died
763
00:38:59,870 --> 00:39:02,840
if the gun had refused to fire
for them?
764
00:39:05,840 --> 00:39:09,280
Starting with a $3,000 loan
from his parents,
765
00:39:09,280 --> 00:39:13,420
Kai has now invested four years
on this project.
766
00:39:13,420 --> 00:39:17,920
He went through
an extensive prototyping process
767
00:39:17,920 --> 00:39:20,860
using a 3D printer
in his bedroom.
768
00:39:20,860 --> 00:39:21,890
There's a fingerprint sensor
769
00:39:21,890 --> 00:39:23,660
embedded in the grip
of the firearm
770
00:39:23,660 --> 00:39:26,000
that captures an image
of their fingerprint.
771
00:39:26,000 --> 00:39:29,160
That image is processed
and then matched against a list
772
00:39:29,170 --> 00:39:31,900
that's stored on the gun...
Encrypted and secure...
773
00:39:31,900 --> 00:39:34,970
Of everyone who's allowed
to use that firearm.
774
00:39:34,970 --> 00:39:37,140
Once we have
a verified fingerprint,
775
00:39:37,140 --> 00:39:38,710
there's a little motor
776
00:39:38,710 --> 00:39:40,910
that takes signals
from the circuit board
777
00:39:40,910 --> 00:39:42,750
and produces physical motion.
778
00:39:42,750 --> 00:39:46,320
We then use this motion
to lock and unlock the firearm.
779
00:39:50,050 --> 00:39:52,620
What started
as a high-school project
780
00:39:52,620 --> 00:39:55,320
has become a business
in the making.
781
00:39:55,330 --> 00:39:59,560
But Kai has an uphill battle
to get his prototype to market.
782
00:39:59,560 --> 00:40:03,200
Smartguns are not a new idea.
And about 20 years ago,
783
00:40:03,200 --> 00:40:06,000
the government saw that it was
an obviously good idea
784
00:40:06,000 --> 00:40:08,700
and decided to just throw
a bunch of money at the problem.
785
00:40:08,710 --> 00:40:11,670
They gave out grants to some
major firearm manufacturers,
786
00:40:11,680 --> 00:40:13,310
like Smith & Wesson.
787
00:40:13,310 --> 00:40:16,580
For the very first time,
a gun manufacturer
788
00:40:16,580 --> 00:40:17,910
will include locking devices
789
00:40:17,920 --> 00:40:21,220
and other safety features,
and will develop smartguns
790
00:40:21,220 --> 00:40:23,450
that can be fired
only by the adults
791
00:40:23,450 --> 00:40:25,290
who own them.
792
00:40:25,290 --> 00:40:28,790
The smartguns met
with fierce resistance.
793
00:40:28,790 --> 00:40:32,360
Gun-advocacy groups claimed
their second-amendment rights
794
00:40:32,360 --> 00:40:33,530
were at risk.
795
00:40:33,530 --> 00:40:34,830
Smith & Wesson got boycotted
796
00:40:34,830 --> 00:40:37,870
and almost lost over 40%
of their business,
797
00:40:37,870 --> 00:40:39,870
which is substantial
for any company.
798
00:40:39,870 --> 00:40:41,940
They basically abandoned
the projects and swore,
799
00:40:41,940 --> 00:40:44,240
more or less,
never to work on it again.
800
00:40:44,240 --> 00:40:47,440
Before a single
smartgun could be sold,
801
00:40:47,450 --> 00:40:49,710
the product was withdrawn.
802
00:40:49,710 --> 00:40:52,110
A lot of the public, especially
the gun-owning public,
803
00:40:52,120 --> 00:40:54,880
perceived smartguns
as the gun control or, like,
804
00:40:54,890 --> 00:40:56,520
something that's
gonna be mandated.
805
00:40:56,520 --> 00:40:58,450
It's not gun control in any way.
806
00:40:58,460 --> 00:41:00,120
It's not external control.
807
00:41:00,120 --> 00:41:01,720
There's no government database.
808
00:41:01,730 --> 00:41:05,430
Kai believes smartguns will
help to inoculate some of us
809
00:41:05,430 --> 00:41:08,930
against the virus that claims
so many American lives
810
00:41:08,930 --> 00:41:12,000
without compromising
second-amendment rights.
811
00:41:12,000 --> 00:41:15,100
With this technology, the owner
is still free to do anything
812
00:41:15,110 --> 00:41:17,470
that they judge they should do
with a firearm,
813
00:41:17,480 --> 00:41:20,510
but it will stop children
from finding guns,
814
00:41:20,510 --> 00:41:22,810
teenagers from using it
to commit suicide,
815
00:41:22,810 --> 00:41:26,950
and a solid portion
of the over 30,000 gun deaths
816
00:41:26,950 --> 00:41:28,780
that happen every year
in the United States.
817
00:41:33,990 --> 00:41:36,190
I might not be able to stop
the next psychopath
818
00:41:36,190 --> 00:41:37,460
who walks into a movie theater,
819
00:41:37,460 --> 00:41:40,830
but there are lives
that I can save.
820
00:41:40,830 --> 00:41:44,130
Even if we can save
one person's life,
821
00:41:44,140 --> 00:41:47,570
that'd make the whole thing
worth it.
822
00:41:47,570 --> 00:41:52,140
A smartgun would make a dent
in the gun virus,
823
00:41:52,140 --> 00:41:54,310
but only a small one.
824
00:41:54,310 --> 00:41:58,980
In fact, all the solutions
are in their early days,
825
00:41:58,980 --> 00:42:03,050
which is strange, considering
how dire the situation is.
826
00:42:03,050 --> 00:42:08,290
Guns claim over 30,000
American lives each year.
827
00:42:08,290 --> 00:42:10,760
When Ebola
threatened our shores,
828
00:42:10,760 --> 00:42:13,500
the full resources
of our public-health community
829
00:42:13,500 --> 00:42:16,300
were called into service.
830
00:42:16,300 --> 00:42:18,630
You know how many people
died in the U.S.
831
00:42:18,640 --> 00:42:22,300
From that devastating disease?
832
00:42:22,310 --> 00:42:23,840
Two.
833
00:42:23,840 --> 00:42:27,780
When the United States
puts its resources to work,
834
00:42:27,780 --> 00:42:30,080
we have great results.
835
00:42:30,080 --> 00:42:32,410
But in 1996, a federal law
836
00:42:32,420 --> 00:42:35,220
prohibited the centers
for disease control
837
00:42:35,220 --> 00:42:40,860
from funding anything
that may lead to gun control.
838
00:42:40,860 --> 00:42:43,230
The law has had
a chilling effect
839
00:42:43,230 --> 00:42:47,800
on gun-violence research
across the country.
840
00:42:47,800 --> 00:42:51,770
I believe in science,
and I believe
841
00:42:51,770 --> 00:42:55,170
it's only with the unfettered
help of science,
842
00:42:55,170 --> 00:42:58,870
and the answers it provides,
that we'll have a hope
843
00:42:58,880 --> 00:43:03,050
of ending this
devastating epidemic.
844
00:43:03,100 --> 00:43:07,650
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