WEBVTT FILE

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Downloaded from
YTS.MX

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Official YIFY movies site:
YTS.MX

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[water sloshing]

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Ted mcfall (voiceover):
It's tough to look

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At anything in
creation and say, oh,

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Yeah, that is an evil creature.

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However, something in god's plan
is not correct in this matter.

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Whenever we find them,
we have to kill them.

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We cannot tolerate or risk
having more of them around.

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This creature must
be eradicated.

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If we fail at this,
and it spreads,

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Then you can expect catastrophic
problems with the honeybees.

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[music playing]

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One of my favorite screen movies
is the movie "the exorcist."

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If you watch that
movie, you'll hear

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The bees buzzing at the
very beginning of the movie.

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And it's supposed to be a scary,
intimidating kind of a noise.

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But whenever I hear that sound,
I think of something very nice

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And something very pleasant.

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As a little boy, I
didn't really understand

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The importance of honeybees.

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I just knew that my family
needed the honeybees.

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And my dad did
everything he could

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To take care of honeybees.

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And in elementary school, there
was a big field of clover.

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And there were always
bees pollinating

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That big field of clover.

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And some of the other kids would
run around that clover field,

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And stomp on the bees,
and kill the honeybees.

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I remember thinking, I wonder
if that's my family's bees.

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I wonder if those are the
bees that make us honey.

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Because even then, I had a
certain connection to the hives

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That we had and the
creatures that we

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Were entrusted to take care of.

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A good beekeeper always
has to be aware of what's

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Going on with their hives.

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Because you never know if a
tree is going to fall on a hive,

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Or if a lightning
bolt's going to hit it,

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Or some vandal's going
to get to the hive.

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And I just went to go
do a regular inspection

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Just to make sure
that everything

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Was ready for a long winter.

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As I approached the
hive, I look down,

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And there were thousands of
bees that had been slaughtered.

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I was just praying
to god that once

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I opened the hive, that I would
find the queen still alive.

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But as soon as I open up
that lid, and I peered in,

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All hope was gone at that point.

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60,000 of my honeybees had
their heads chopped off.

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It's kind of like finding
a family pet, or maybe even

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A family member that got killed,
and you have no idea who did,

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Or what did it, or
what the heck happened.

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You just get that bad feeling
in the pit of your stomach

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That something
terrible has happened.

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I called my wife dorothy,
and I was like, hey, dorothy,

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You're not going
to believe this.

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We just lost a whole colony.

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And she said, what?

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What happened?

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The first thing that anyone says
whenever something bad happens

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Is, well, what happened?

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If someone dies--
oh, what happened?

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Or if someone breaks
an arm-- what happened?

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Well, that's exactly
what she said.

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What happened?

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I'm juggling kids,
and then hearing this.

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And at the time, I was pregnant.

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So it was stressful.

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It was a stressful call.

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She could not believe it.

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Her jaw was dropped.

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And I'll never forget.

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She took her hand,
and she kind of

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Raked it through the bee bodies,
just looking at it, real quiet.

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And actually, I shouldn't get
choked up about silly bees.

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Well, I guess to us, it's
not silly bees, right?

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Hang on a second.

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Had to compose myself.

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If I had a chalk, and you did
the little outline of a scene,

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You could easily do
it around our bees.

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And it's a murder scene.

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I had a lot of
theories in my mind.

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I thought maybe someone
came in, and gassed my bees,

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And then decided to cut their
heads off, some satanic cult.

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At that point, who knows?

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When something
mysterious happens,

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Anything is a possibility
at that point.

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It's just a helpless feeling.

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Because I know how to
take care of my bees.

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I know how to keep my
bees strong, healthy.

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And I take care of
my bees, and my bees

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Take care of our family.

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And that's what I do.

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Come on, conrad.

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Come on.

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Good boy.

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It was just a regular
morning, like any other,

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Taking the dog out for a walk.

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I looked down, and
I spotted a hornet

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Laying here on the concrete.

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It was the biggest hornet I'd
ever seen in my entire life.

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It had its stinger sticking
out, and it was a big stinger.

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I grabbed my phone and
took a few pictures.

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My wife recommended that
I posted him on reddit,

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So I found this subreddit--

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What'sthisbug.

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Not long after that,
I got a reply saying,

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You should save the
wasp and report it

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To your local department of
agriculture and the washington

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Invasive species council.

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Jessica labelle: In
December of last year,

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A local resident noticed a dead,
large, upsetting-looking insect

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Outside his home.

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It was reported to washington
invasive species council,

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Who then moved it over to us.

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Sven went out to investigate
and confirmed that it was

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Indeed an asian giant hornet.

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[shutter clicking]

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It was actually shocking.

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It looked like a child's
toy because they're

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So much larger than the other
hornets that we deal with.

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My heart sank, because
I was like, crap,

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That's not a yellowjacket.

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I knew zero-- zero--

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About giant hornets
before last December.

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Sven-erik spichiger: We'd spent
the entire holidays of 2019

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Reading research paper
after research paper,

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Regarding its behaviors,
if it has any weaknesses.

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Turns out, it really doesn't.

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It's an apex predator, and
nothing really bothers it.

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We knew it was a big deal
just because of how it can prey

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On managed honeybee hives
and how detrimental that

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Would be for our agriculture.

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And we sent out pest alerts
on asian giant hornet

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To everyone who keeps
bees in washington.

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And that's when the mcfall bee
kill came to our attention too.

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What happened to ted
mcfall is what we

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Worry about for all beekeepers.

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Teddy lives about
six miles from me.

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And so I was extremely
concerned that,

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Yes, they are in my backyard.

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And I don't think
it's ok to say, let

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Somebody else take care of it.

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Ruthie danielsen,
she's a beekeeper,

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And she contacted us
early on and said,

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I am setting up an asian
giant hornet task force.

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Washington state department
of agriculture pest program

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Is a couple entomologists.

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And this year is
the year of covid.

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So funding for these
programs is extremely lean.

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And it's really hard to work
with a government agency.

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There's liabilities,
and there's usually so

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Many regulations that say no.

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And so what can
I do, personally,

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So that I can feel good
that I did everything

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I could to protect
my bees and protect,

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Actually, north america?

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I am fascinated by insects.

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There's this tiny
part of our world

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That can have outsized impacts.

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Here's a little invasive species
showing up for the first time.

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And as you start doing the
reporting to figure out where

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The impact is, and
you're like, oh, wow,

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Here's someone that lost
a whole colony of bees.

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And there was a bit of a
mystery to the whole thing.

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And then as I was
reporting this story,

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I kept coming across
these various nicknames,

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A whole bunch of nicknames.

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And the one that
really stood out to me

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Was the yak killer hornet.

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Where did that come from?

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Did one of these hornets
kill some famous yak

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Somewhere along the way?

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I was just trying
to track that down

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And contacted this researcher
in japan who had worked

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With these hornets a lot.

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And I was asking,
like, do you know where

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This yak killer name came from?

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And he came back with,
actually, I haven't even

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Heard that nickname.

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Around here, they just
call it the murder hornet.

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Ok, well, that's-- I guess we
can just go with that nickname.

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Reporter: "the new
york times" reports

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Deadly hornets in
parts of the us,

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And they're called
murder hornets.

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As if we needed more to
worry about than the threat

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Of the deadly disease that
has gripped the world,

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Now there is more fodder
for people's nightmares.

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Reporter: It looks like
something out of a horror film,

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With a name to match--

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The murder hornet.

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It comes straight
out of hollywood

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In terms of what you think an
evil alien might look like.

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They are, in fact, the largest
species of wasp on the planet.

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And its sting is strong
enough to kill a human.

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Reporter: Some describe the
sting as feeling like hot metal

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Inside their skin.

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Their jaw can
actually take a chunk

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Of flesh out of the human body.

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Reporter: They can
kill people and wipe

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Out entire honeybee colonies.

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Reporter: 60,000 honeybees
torn apart in a savage attack.

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There were dead bees all
over the front of the hive,

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All over the bottom board.

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And they all had
been chopped to bits.

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Reporter: They rip
their heads off

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And take the thorax for food.

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I know nature is violent,
but that's like horror movie

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Violent.

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The pollination that
honeybees do for our food

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Supply cannot be understated.

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Reporter: Washington state
entomologist chris looney

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Says the clock is ticking.

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The goal is to eradicate
it now while the population

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Is presumably small.

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It's a bit of a race for us to
find them, and find their nest,

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And destroy them before
they destroy our honeybees.

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If this were to
become well-established

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And then start spreading, it
could be pretty catastrophic.

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Reporter: If he
and his colleagues

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Can't wipe out the
invaders this summer,

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They're likely to
multiply and spread

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Across the country
with potentially

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Disastrous consequences.

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Reporter: The big concern
that these hornets

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Could wipe out the population,
which is already under siege--

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Reporter: --Because they kill
massive amounts of honeybees--

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[interposing voices]

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Albert einstein said
that if bees get wiped out,

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Then humanity will be wiped
out four years after that.

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And I'm glad that albert
einstein understood very

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Clearly the bee's
role in pollination,

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Because that pollen is
really the dust of life.

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Early on, before this
whole asian giant hornet

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Problem hit the media,
sven showed up to one

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Of our bee club meetings.

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This was shortly before
the whole pandemic started.

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We're looking at each other,
saying, hey, what are we

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Going to do about this problem?

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Because if this thing gets out
and starts slaughtering more

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Colonies, then everyone's
going to be like, hey,

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Why didn't we do something
at the beginning?

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Asian giant hornet's been
on my radar since 2013.

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In 2013, conditions
in southern china

245
00:12:31.218 --> 00:12:33.284
Led to the deaths of 42 people.

246
00:12:33.386 --> 00:12:35.887
Those who did survive are
on dialysis for the rest

247
00:12:35.989 --> 00:12:37.489
Of their life, in wheelchairs.

248
00:12:37.591 --> 00:12:39.924
If you get more than
one or two stings,

249
00:12:40.026 --> 00:12:41.159
It starts to get serious.

250
00:12:41.261 --> 00:12:44.763
If you get 10 or 12, it
becomes life-threatening.

251
00:12:44.865 --> 00:12:46.498
Before you know
what's even happening,

252
00:12:46.600 --> 00:12:48.600
You could be in a real
serious world of hurt.

253
00:12:48.702 --> 00:12:50.702
So it's one of the
secondary reasons

254
00:12:50.804 --> 00:12:52.270
Why we just don't
want this to get

255
00:12:52.372 --> 00:12:54.305
Established here permanently.

256
00:12:54.407 --> 00:12:56.241
The chance to
eradicate is very rare,

257
00:12:56.343 --> 00:12:58.209
That humans will
win a battle against

258
00:12:58.311 --> 00:12:59.744
An invasive introduction.

259
00:12:59.846 --> 00:13:03.615
And you have no idea what
the environmental impact

260
00:13:03.717 --> 00:13:06.417
Of adding something else
to the ecological system

261
00:13:06.486 --> 00:13:07.952
Is going to have.

262
00:13:08.054 --> 00:13:10.054
Ruthie danielsen: The west
coast of the united states

263
00:13:10.157 --> 00:13:13.858
Is perfect habitat for
the asian giant hornet.

264
00:13:13.960 --> 00:13:17.061
So that's why it is
so important that we

265
00:13:17.164 --> 00:13:21.566
Stop the asian giant hornet
from moving any further south.

266
00:13:21.668 --> 00:13:24.002
We're the first line
of defense here.

267
00:13:24.104 --> 00:13:26.104
Ted mcfall: We started coming
up with ideas for, hey,

268
00:13:26.206 --> 00:13:28.406
Maybe we can figure out
a way to eradicate them.

269
00:13:28.508 --> 00:13:30.208
Because we thought that it
was going to be pretty much

270
00:13:30.310 --> 00:13:31.476
Us on our own.

271
00:13:31.578 --> 00:13:33.378
We knew that sven and the
department of agriculture

272
00:13:33.480 --> 00:13:35.580
Were going to try to
help us in some degree,

273
00:13:35.682 --> 00:13:37.348
We weren't sure what.

274
00:13:37.450 --> 00:13:38.850
My hope is it's not too late.

275
00:13:38.952 --> 00:13:40.718
Right now, the murder
hornet is only here

276
00:13:40.821 --> 00:13:43.221
In the pacific northwest,
in this area somewhere.

277
00:13:43.323 --> 00:13:45.890
The goal is to find the nest.

278
00:13:45.992 --> 00:13:49.627
But finding an asian
giant hornet nest

279
00:13:49.729 --> 00:13:53.264
Is difficult at best.

280
00:13:53.366 --> 00:13:55.600
Ted mcfall: No one really
knows how bad this murder

281
00:13:55.669 --> 00:13:57.402
Hornet situation could be.

282
00:13:57.504 --> 00:14:01.372
Could it throw the entire world
into the pangs of poverty?

283
00:14:01.474 --> 00:14:03.107
It's possible.

284
00:14:03.210 --> 00:14:05.577
The fact that they got
here shows that there

285
00:14:05.679 --> 00:14:08.213
Is something terribly wrong.

286
00:14:08.315 --> 00:14:10.148
And the only way
to make right is

287
00:14:10.250 --> 00:14:14.385
To kill the asian
giant hornet that seeks

288
00:14:14.487 --> 00:14:17.021
Out to destroy these honeybees.

289
00:14:17.123 --> 00:14:18.990
And I tell you what, if we're
unsuccessful getting rid

290
00:14:19.092 --> 00:14:21.926
Of this murder hornet,
god help us all.

291
00:14:37.577 --> 00:14:39.377
Chris looney: I have always
been the kind of entomologist

292
00:14:39.479 --> 00:14:41.112
That catches insects.

293
00:14:41.214 --> 00:14:42.380
I don't have a collection.

294
00:14:42.482 --> 00:14:44.983
I have no qualms
about killing insects.

295
00:14:45.085 --> 00:14:47.986
But if I'm not contributing
to new knowledge,

296
00:14:48.088 --> 00:14:50.622
It's just not really
my gig to catch bugs.

297
00:14:50.724 --> 00:14:52.257
But I like to do it
when there's a reason.

298
00:14:56.029 --> 00:14:59.864
I have looked for some insects
that I really wanted to find,

299
00:14:59.966 --> 00:15:03.334
But nothing like this,
where the stakes were high,

300
00:15:03.436 --> 00:15:05.503
The people were watching.

301
00:15:05.605 --> 00:15:07.805
My entire professional
life was wrapped around it.

302
00:15:09.309 --> 00:15:11.676
Short of being able to follow
one, walking around the woods

303
00:15:11.778 --> 00:15:14.445
And looking for one is
another pretty decent tool.

304
00:15:14.547 --> 00:15:15.780
It's actually a
horrible tool, but we're

305
00:15:15.882 --> 00:15:16.681
Going to do it anyway.

306
00:15:16.783 --> 00:15:17.615
Hornet in a haystack.

307
00:15:19.719 --> 00:15:24.155
If there is anything that
influenced me as a kid,

308
00:15:24.257 --> 00:15:25.890
It was not science.

309
00:15:25.992 --> 00:15:27.358
This just happened by accident.

310
00:15:27.460 --> 00:15:28.693
I'm not a good mechanic.

311
00:15:28.795 --> 00:15:30.828
I'm not especially religious,
so monk was probably out.

312
00:15:30.931 --> 00:15:33.965
And I have no stories
to tell, so no ernest

313
00:15:34.067 --> 00:15:35.967
Hemingway option either.

314
00:15:36.069 --> 00:15:37.835
The nests apparently
have these really

315
00:15:37.938 --> 00:15:39.704
Distinctive mounts of soil.

316
00:15:39.806 --> 00:15:43.241
They nest in the ground,
often in rodent burrows,

317
00:15:43.343 --> 00:15:45.843
Or exposures made
around rotting tree

318
00:15:45.946 --> 00:15:47.645
Roots or exposed tree roots.

319
00:15:47.747 --> 00:15:52.450
So this is sort of ideal
and impenetrable habitat.

320
00:15:52.552 --> 00:15:54.519
Let's hope they're not
in these blackberries.

321
00:15:55.989 --> 00:15:58.022
Jumping around on the ground
in a place where there might be

322
00:15:58.124 --> 00:15:59.958
One of these nests and
it's hard to run away

323
00:16:00.060 --> 00:16:02.527
Is probably the stupidest
way to look for this insect.

324
00:16:02.629 --> 00:16:03.795
It seems insurmountable
right now.

325
00:16:03.897 --> 00:16:04.762
I'm not really--

326
00:16:06.366 --> 00:16:08.132
I'm not feeling that happy.

327
00:16:09.536 --> 00:16:10.368
God, I talk a lot.

328
00:16:22.849 --> 00:16:26.150
Last year, giant hornet
come to your country.

329
00:16:28.521 --> 00:16:29.620
[speaking japanese]

330
00:16:29.723 --> 00:16:32.223
Interpreter: Exterminating
asian giant hornet

331
00:16:32.325 --> 00:16:33.725
Is a difficult job.

332
00:16:33.827 --> 00:16:36.894
If your protective wear
isn't thick enough,

333
00:16:36.997 --> 00:16:39.297
They can penetrate
it and sting you.

334
00:16:41.267 --> 00:16:45.970
Giant hornet have this stinger
that can also spray venom.

335
00:16:46.072 --> 00:16:49.507
Once, I heard from a
hornet exterminator

336
00:16:49.609 --> 00:16:52.944
The venom went through
that gap in his goggles

337
00:16:53.046 --> 00:16:55.480
And got into his eyes.

338
00:16:55.582 --> 00:16:58.883
He said the pain was so
incredible that he couldn't

339
00:16:58.985 --> 00:17:01.285
Open his eyes for a while.

340
00:17:01.388 --> 00:17:04.288
And if he'd been a
little less lucky,

341
00:17:04.391 --> 00:17:06.691
He could have lost
his vision completely.

342
00:17:09.195 --> 00:17:10.561
[speaking japanese]

343
00:17:10.663 --> 00:17:12.697
So they don't just
attack by stinging.

344
00:17:14.034 --> 00:17:16.367
They can also attack
by spraying venom.

345
00:17:18.872 --> 00:17:21.272
Narrator: But how did
the asian giant hornet

346
00:17:21.374 --> 00:17:24.542
Get from asia to north america?

347
00:17:24.644 --> 00:17:26.911
The most popular theory
begins with a fertilized

348
00:17:27.013 --> 00:17:29.981
Queen looking for a cozy spot
to curl up for the winter.

349
00:17:31.684 --> 00:17:34.819
She finds her way into a
stack of nestled terracotta

350
00:17:34.921 --> 00:17:39.090
Pots intended for
export to north america.

351
00:17:39.192 --> 00:17:41.759
Or perhaps she boards
the ship herself,

352
00:17:41.861 --> 00:17:45.630
One of many bringing lumber
from the pacific northwest.

353
00:17:45.732 --> 00:17:47.765
Once emptied, the
cargo holds are

354
00:17:47.867 --> 00:17:50.868
Littered with bark,
twigs, and sawdust,

355
00:17:50.970 --> 00:17:53.171
Perfect for digging a nest.

356
00:17:53.273 --> 00:17:57.308
After an 8,000-mile trip, the
ship arrives on the northwest

357
00:17:57.410 --> 00:17:59.744
Coast of north america.

358
00:17:59.846 --> 00:18:01.779
The queen emerges
into the sunlight

359
00:18:01.881 --> 00:18:05.049
And flies into the lush forest,
ready to start her colony.

360
00:18:06.753 --> 00:18:09.887
Or maybe humans played
a more direct role.

361
00:18:09.989 --> 00:18:13.024
Vespa mandarinia is considered
a delicacy in certain parts

362
00:18:13.126 --> 00:18:18.062
Of asia, sometimes
grilled on skewers

363
00:18:18.164 --> 00:18:20.698
Or steeped in a korean
liquor called soju.

364
00:18:23.603 --> 00:18:25.703
Perhaps some
unscrupulous entrepreneur

365
00:18:25.805 --> 00:18:28.239
Managed to smuggle a
murder hornet starter pack

366
00:18:28.341 --> 00:18:30.775
Through customs,
hoping to charge

367
00:18:30.877 --> 00:18:33.811
Premium prices to vancouver's
most adventurous diners.

368
00:18:35.448 --> 00:18:37.648
Unfortunately, it was
the hornets who decided

369
00:18:37.750 --> 00:18:38.950
To go out for a bite instead.

370
00:18:42.789 --> 00:18:44.155
[gasp]

371
00:18:44.257 --> 00:18:47.959
Or maybe none of
this was accidental.

372
00:18:48.061 --> 00:18:51.629
Some conspiracy theorists point
out that the murder hornet just

373
00:18:51.731 --> 00:18:53.898
Happened to show
up in north america

374
00:18:54.000 --> 00:18:58.469
At a time in which the us is
locked in bitter trade wars.

375
00:18:58.571 --> 00:19:01.939
Is it possible that foreign
agents deliberately recruited

376
00:19:02.041 --> 00:19:05.743
Vespa mandarinia as a bioweapon
and sent them into enemy

377
00:19:05.845 --> 00:19:08.679
Territory to disrupt
american agriculture

378
00:19:08.781 --> 00:19:10.448
By massacring honeybees?

379
00:19:12.152 --> 00:19:14.118
Yeah, that's a bit far-fetched.

380
00:19:14.220 --> 00:19:17.088
But in a world as
interconnected as ours,

381
00:19:17.190 --> 00:19:19.423
There are so many
ways the asian giant

382
00:19:19.526 --> 00:19:21.859
Hornet could have arrived
that it practically

383
00:19:21.961 --> 00:19:23.494
Doesn't matter anymore.

384
00:19:23.596 --> 00:19:27.398
It's here now, and there's
not much time left to stop it.

385
00:19:29.969 --> 00:19:34.205
The asian giant hornet
has evolved in asia.

386
00:19:34.307 --> 00:19:37.408
The honeybees in that
part of the world

387
00:19:37.510 --> 00:19:41.546
Actually have a way
to protect themselves.

388
00:19:41.648 --> 00:19:47.852
Our honeybees do not have any
means of protecting themselves.

389
00:19:47.954 --> 00:19:50.121
[speaking japanese]

390
00:19:50.223 --> 00:19:54.158
Interpreter: When a giant hornet
attacks a japanese honeybee,

391
00:19:54.260 --> 00:19:56.561
The bees group
together and smother

392
00:19:56.663 --> 00:19:58.696
The hornet in a bee ball.

393
00:19:58.798 --> 00:20:01.232
Using vibrations
from their wings,

394
00:20:01.334 --> 00:20:03.901
And their muscles,
and their abdomens,

395
00:20:04.003 --> 00:20:05.636
The bees generate heat.

396
00:20:05.738 --> 00:20:10.107
And together, they raise the
temperature to 130 degrees

397
00:20:10.210 --> 00:20:13.511
To kill the hornet
by cooking it alive.

398
00:20:13.613 --> 00:20:17.114
The only reason this
species is in north america

399
00:20:17.217 --> 00:20:18.883
Is because of humans.

400
00:20:18.985 --> 00:20:22.553
As human beings and
globalization moved a species

401
00:20:22.655 --> 00:20:25.856
That shouldn't be in north
america to north america,

402
00:20:25.959 --> 00:20:29.627
That's just one more
horrific impact that we

403
00:20:29.729 --> 00:20:32.830
Can have to our food supply.

404
00:20:32.932 --> 00:20:35.600
So since we created
this problem,

405
00:20:35.702 --> 00:20:38.236
We, as humans, should
take ownership of trying

406
00:20:38.338 --> 00:20:40.271
To correct this problem.

407
00:20:40.373 --> 00:20:43.708
I don't have the science
background, but a lot of times,

408
00:20:43.810 --> 00:20:45.443
People don't like
government agencies

409
00:20:45.545 --> 00:20:46.877
To come on their property.

410
00:20:46.980 --> 00:20:48.980
So that's a little
sensitive piece.

411
00:20:49.082 --> 00:20:53.451
And so there's no better way
to learn than to do it myself.

412
00:20:53.553 --> 00:20:54.952
This is a bottle trap.

413
00:20:55.054 --> 00:20:57.221
The hornet comes
in, takes a drink,

414
00:20:57.323 --> 00:21:00.157
And gets caught in
the liquid and drowns.

415
00:21:00.226 --> 00:21:01.892
We have to use the
rice wine to help

416
00:21:01.995 --> 00:21:05.129
Keep honeybees and other of the
good pollinators out of this.

417
00:21:05.231 --> 00:21:07.064
Because honeybees would be
attracted to the sugar in here,

418
00:21:07.166 --> 00:21:08.899
And they can get trapped
in here and die too.

419
00:21:09.002 --> 00:21:11.435
And the murder hornets, they
actually like the taste of rice

420
00:21:11.537 --> 00:21:13.871
Wine and rancid type of tastes.

421
00:21:13.973 --> 00:21:16.307
They're meat eaters, and they
don't mind eating nasty things.

422
00:21:17.944 --> 00:21:21.379
This design was given to
us from the people in asia.

423
00:21:21.481 --> 00:21:22.747
It's interesting, a
couple of the traps

424
00:21:22.849 --> 00:21:24.482
They found the murder
hornet still alive,

425
00:21:24.584 --> 00:21:26.217
Swimming around in there.

426
00:21:26.319 --> 00:21:27.451
This particular
orange juice actually

427
00:21:27.553 --> 00:21:29.053
Came from the department
of agriculture.

428
00:21:29.155 --> 00:21:30.254
Ruthie sweet talked them.

429
00:21:30.356 --> 00:21:31.822
She said, hey, you
know, our bee club's

430
00:21:31.924 --> 00:21:33.591
Trying to do everything
we can to help with this.

431
00:21:33.693 --> 00:21:35.493
Do you think you could
help us with some bottles

432
00:21:35.595 --> 00:21:36.994
And with some orange juice?

433
00:21:37.096 --> 00:21:39.096
You need something done,
get some girl to sweet talk

434
00:21:39.198 --> 00:21:40.631
Whoever you need to.

435
00:21:40.733 --> 00:21:42.800
Because this juice does
get expensive, changing

436
00:21:42.902 --> 00:21:44.568
These traps every single week.

437
00:21:44.671 --> 00:21:46.637
It seems like the
department of agriculture

438
00:21:46.739 --> 00:21:48.606
Is very concerned
about this problem.

439
00:21:48.708 --> 00:21:51.442
Of course, they get paid for
it, and so that kind of makes

440
00:21:51.544 --> 00:21:52.777
It a little bit
different, whenever it's

441
00:21:52.879 --> 00:21:54.078
Your job that you have to do.

442
00:21:54.180 --> 00:21:55.513
But thank god it
has their attention,

443
00:21:55.615 --> 00:21:57.281
And it's not just a
bunch of us ragtag

444
00:21:57.383 --> 00:21:59.417
Beekeepers that are trying
to figure out what to do.

445
00:21:59.519 --> 00:22:01.319
Even if we catch a
couple murder hornets

446
00:22:01.421 --> 00:22:03.387
In this particular trap,
that doesn't really

447
00:22:03.489 --> 00:22:06.057
Help us in the long run
because it's only taking

448
00:22:06.159 --> 00:22:07.858
A couple out of a big nest.

449
00:22:07.960 --> 00:22:10.628
But the idea is if you hang
these up in enough places,

450
00:22:10.730 --> 00:22:12.296
Then we're going to know
where they're active.

451
00:22:12.398 --> 00:22:15.299
So we know that there's
going to be a nest nearby.

452
00:22:15.401 --> 00:22:17.101
I see potential.

453
00:22:17.203 --> 00:22:18.302
You never know
which one of these

454
00:22:18.404 --> 00:22:20.104
Is going to be the one to
catch the murder hornet.

455
00:22:26.446 --> 00:22:27.411
Interviewer (on radio):
As if the pandemic

456
00:22:27.513 --> 00:22:29.180
And the economic meltdown
aren't bad enough,

457
00:22:29.282 --> 00:22:32.817
Now murder hornets have arrived
in the pacific northwest.

458
00:22:32.919 --> 00:22:34.518
Ruthie danielson is a beekeeper.

459
00:22:34.620 --> 00:22:35.786
Thanks for joining us today.

460
00:22:35.888 --> 00:22:37.388
Ruthie danielsen (on
radio): Oh, you're welcome.

461
00:22:37.490 --> 00:22:39.323
Interviewer (on radio): What
do you think the chances are?

462
00:22:39.425 --> 00:22:41.192
Can this invasion be stopped?

463
00:22:41.294 --> 00:22:43.394
Ruthie danielsen (on
radio): Well, I'm hopeful.

464
00:22:43.496 --> 00:22:44.995
What you do is you
get involved, and you

465
00:22:45.098 --> 00:22:46.130
Try to do something about it.

466
00:22:48.401 --> 00:22:50.401
Ruthie danielsen:
This is a huge area.

467
00:22:50.503 --> 00:22:52.103
It's all of whatcom county.

468
00:22:52.205 --> 00:22:54.905
Hundreds if not thousands
of square acres.

469
00:22:56.609 --> 00:22:58.576
The more we get the word
out, the more people

470
00:22:58.678 --> 00:23:01.345
That are looking, the
better chance we have.

471
00:23:01.447 --> 00:23:03.681
That's an asian
giant hornet queen.

472
00:23:03.783 --> 00:23:04.849
Oh, wow.

473
00:23:04.951 --> 00:23:07.418
So if you do see one, call.

474
00:23:07.520 --> 00:23:10.821
Human intervention might have
the biggest impact on us being

475
00:23:10.923 --> 00:23:12.523
Able to eradicate this species.

476
00:23:15.128 --> 00:23:19.397
We've got over 1,220
individual traps

477
00:23:19.499 --> 00:23:21.999
Set up by the general public.

478
00:23:22.101 --> 00:23:26.337
Well, I don't see anything
here as far as a hornet.

479
00:23:26.439 --> 00:23:27.872
They call us
"citizen scientists."

480
00:23:27.974 --> 00:23:29.473
I don't feel much
like a scientist.

481
00:23:29.575 --> 00:23:31.409
I just am a person that cares.

482
00:23:31.511 --> 00:23:34.845
And if we don't do it, who will?

483
00:23:34.947 --> 00:23:39.650
I've had some really tall,
long, skinny, green creatures

484
00:23:39.752 --> 00:23:43.521
And things that I've never seen
before, creatures of the night.

485
00:23:43.623 --> 00:23:46.457
This is an entomologist's
dream, right?

486
00:23:46.559 --> 00:23:52.730
I've been doing nonconventional
female things my whole life.

487
00:23:52.832 --> 00:23:56.467
And there was a
job to drive a suck

488
00:23:56.569 --> 00:24:02.039
Truck, which is a diesel-powered
vacuum cleaner, right?

489
00:24:02.141 --> 00:24:05.376
Really, really
physically demanding.

490
00:24:05.478 --> 00:24:08.279
And now we're
talking in the '70s.

491
00:24:08.381 --> 00:24:12.183
There were very few
women in industry.

492
00:24:12.285 --> 00:24:16.120
They looked at me and said,
let's see how she can fail.

493
00:24:16.222 --> 00:24:20.758
So they sent me by
myself to this plant

494
00:24:20.860 --> 00:24:23.828
To suck up human shit.

495
00:24:23.930 --> 00:24:25.729
And I went in
there, and I cleaned

496
00:24:25.832 --> 00:24:27.097
Up all that human [bleep].

497
00:24:27.200 --> 00:24:31.368
And I did it in three hours
less than they bid the job for.

498
00:24:31.471 --> 00:24:33.270
So I started doing
industrial cleanup

499
00:24:33.372 --> 00:24:35.072
Throughout the northwest.

500
00:24:35.174 --> 00:24:39.610
They didn't necessarily want
females doing what I was doing.

501
00:24:39.712 --> 00:24:41.512
You'd get a lot of harassment.

502
00:24:41.614 --> 00:24:44.748
I actually bought a black
hills gold wedding ring

503
00:24:44.851 --> 00:24:46.450
So I'd quit getting hit on.

504
00:24:46.552 --> 00:24:48.419
You just have to
have thick skin.

505
00:24:48.521 --> 00:24:52.323
So you just be resilient,
you put your head forward,

506
00:24:52.425 --> 00:24:54.758
And you do the best job you can.

507
00:24:54.861 --> 00:24:58.329
The reason people are trapping
now and why it's important

508
00:24:58.431 --> 00:25:04.134
Now is to be able to see if we
can find the nest before they

509
00:25:04.237 --> 00:25:06.337
Start to make new queens.

510
00:25:06.439 --> 00:25:08.372
Now is when we have the chance.

511
00:25:08.474 --> 00:25:12.409
So every day, people
collect samples

512
00:25:12.512 --> 00:25:14.879
With a number and the
date it was collected,

513
00:25:14.981 --> 00:25:17.147
And bring it down
here and put it

514
00:25:17.250 --> 00:25:19.950
In the cooler for washington
state department of agriculture

515
00:25:20.052 --> 00:25:20.918
To collect.

516
00:25:25.992 --> 00:25:27.558
Welcome to the
natural resources

517
00:25:27.660 --> 00:25:29.059
Building entomology laboratory.

518
00:25:29.161 --> 00:25:31.295
This is where we do all
of our trap processing

519
00:25:31.397 --> 00:25:33.297
And identification services.

520
00:25:33.399 --> 00:25:35.833
This is one of our
ace entomologists.

521
00:25:35.935 --> 00:25:38.369
Early on, she requested
to be on team hornet

522
00:25:38.471 --> 00:25:40.437
To get a break from dissecting
moth genitalia, which

523
00:25:40.540 --> 00:25:41.739
Is what we do most of the time.

524
00:25:41.841 --> 00:25:42.940
It's not so bad.

525
00:25:43.042 --> 00:25:45.576
Sometimes, we get big old slugs.

526
00:25:47.647 --> 00:25:49.046
I don't mind the
smell so much, but I

527
00:25:49.148 --> 00:25:52.783
Probably won't willingly drink
orange juice for a long time.

528
00:25:52.885 --> 00:25:55.352
These are massive amounts
of traps that are being

529
00:25:55.454 --> 00:25:58.022
Sent by private residents.

530
00:25:58.124 --> 00:26:05.162
This is a envelope containing
a trap that was put up

531
00:26:05.264 --> 00:26:08.799
By a citizen science
collaborator, someone

532
00:26:08.901 --> 00:26:11.402
Named elsa from bellingham.

533
00:26:11.504 --> 00:26:15.906
We have processed, so far,
3,794 traps from the public,

534
00:26:16.008 --> 00:26:19.543
4,359 traps from wsda.

535
00:26:19.645 --> 00:26:21.512
And these guys have
identified more than 88,000

536
00:26:21.614 --> 00:26:23.447
Individual specimens so far.

537
00:26:23.549 --> 00:26:28.152
You read about climate change,
acid rain, species extinctions.

538
00:26:28.254 --> 00:26:30.387
And there's nothing you can
do about it unless you're

539
00:26:30.489 --> 00:26:32.623
Actively working in the field.

540
00:26:32.725 --> 00:26:34.058
But not in this case.

541
00:26:34.160 --> 00:26:36.126
I think there's
lots of opportunity

542
00:26:36.228 --> 00:26:39.063
To get people involved.

543
00:26:39.165 --> 00:26:40.965
It's not just beekeepers,
it's everybody, right?

544
00:26:41.067 --> 00:26:42.333
Everybody is concerned
about the hornet

545
00:26:42.435 --> 00:26:45.035
Because we all right now have
a bee in our bonnet about bees.

546
00:26:45.137 --> 00:26:47.304
We have happy movies about bees.

547
00:26:47.406 --> 00:26:48.505
They sell us cereal.

548
00:26:48.608 --> 00:26:49.607
We eat honey.

549
00:26:49.709 --> 00:26:51.742
So it's easy for
the public to care

550
00:26:51.844 --> 00:26:54.845
And invest time into something
that keeps bees alive.

551
00:26:54.947 --> 00:26:57.748
If this was a predator
of, say, katydids,

552
00:26:57.850 --> 00:26:59.683
Nobody would give a damn.

553
00:26:59.752 --> 00:27:01.785
And yet, you can't fault
any of us for that.

554
00:27:01.887 --> 00:27:04.388
It's fine that we pick
and choose the insect

555
00:27:04.490 --> 00:27:05.956
Battles that we care about.

556
00:27:06.058 --> 00:27:08.626
And I'm glad people are
caring about this one.

557
00:27:08.728 --> 00:27:10.427
We have invasive
insects pretty

558
00:27:10.529 --> 00:27:12.496
Much everywhere in the world.

559
00:27:12.598 --> 00:27:14.732
But this one struck
a lot of fear

560
00:27:14.834 --> 00:27:17.034
In the heart of people at a time
when they were already afraid.

561
00:27:21.507 --> 00:27:22.906
Ted mcfall: This world
would not be a good place

562
00:27:23.009 --> 00:27:23.841
Without these fellas.

563
00:27:25.978 --> 00:27:28.612
God created bees at the same
time that he created plants.

564
00:27:28.714 --> 00:27:32.149
And his plan was to create
these creatures that

565
00:27:32.251 --> 00:27:35.319
Can provide food for the earth.

566
00:27:35.421 --> 00:27:37.488
Jesus talked about honey.

567
00:27:37.590 --> 00:27:41.358
The ancient israelites were
wandering around the desert,

568
00:27:41.460 --> 00:27:44.328
Looking for the land
of milk and honey.

569
00:27:44.430 --> 00:27:46.664
They found honey in
the tomb of king tut.

570
00:27:48.534 --> 00:27:52.636
Having the ability to
raise bees and harvest honey

571
00:27:52.738 --> 00:27:55.706
Allows us to make
decisions that are

572
00:27:55.808 --> 00:28:00.010
Otherwise extremely difficult.
Good thing kids don't know.

573
00:28:00.112 --> 00:28:01.945
They don't know finances.

574
00:28:02.048 --> 00:28:04.214
Things are real tight
already as it is.

575
00:28:04.316 --> 00:28:07.551
So knowing that there is
honey money, in my mind,

576
00:28:07.653 --> 00:28:11.922
I see, oh, ok, we can afford
piano lessons for our kids.

577
00:28:12.024 --> 00:28:14.158
Whenever I see some
of the wax spill,

578
00:28:14.260 --> 00:28:15.793
I see that as a few quarters.

579
00:28:15.895 --> 00:28:18.062
I'm like, there's a quarter,
and there's a quarter.

580
00:28:18.164 --> 00:28:20.698
I was just thinking about
them like it's precious money.

581
00:28:20.800 --> 00:28:22.399
Yeah, it is.

582
00:28:22.501 --> 00:28:24.001
It's liquid gold.

583
00:28:24.103 --> 00:28:24.868
Love the bees.

584
00:28:24.970 --> 00:28:25.969
Got to--

585
00:28:26.072 --> 00:28:27.004
Keep them going.

586
00:28:27.106 --> 00:28:28.072
Got to keep them
going, that's right.

587
00:28:28.174 --> 00:28:29.039
Keep us going.

588
00:28:30.676 --> 00:28:33.410
The amount of danger
that our bees are in

589
00:28:33.512 --> 00:28:37.081
And the potential havoc
that this animal can bring

590
00:28:37.183 --> 00:28:40.417
To our bee yard is devastating.

591
00:28:40.519 --> 00:28:44.154
Many things that we
are unfamiliar with

592
00:28:44.256 --> 00:28:46.957
Can make us uncomfortable
because we don't know how

593
00:28:47.059 --> 00:28:50.561
To live around them, then
that could be something

594
00:28:50.663 --> 00:28:54.965
That we are unwilling to learn.

595
00:28:55.067 --> 00:28:58.502
Especially with our
line of beekeeping,

596
00:28:58.604 --> 00:29:02.039
Why would we want to
live side by side?

597
00:29:04.110 --> 00:29:05.342
And so even
though god may have

598
00:29:05.444 --> 00:29:07.578
Allowed this terrible
creature to show up literally

599
00:29:07.680 --> 00:29:09.780
On our doorstep and
start slaughtering bees,

600
00:29:09.882 --> 00:29:11.348
A lot of times, there's
a bigger picture,

601
00:29:11.450 --> 00:29:12.850
And there's going to be
a greater good that's

602
00:29:12.952 --> 00:29:14.017
Going to come out of that.

603
00:29:14.120 --> 00:29:15.953
And so that's why
I try to cooperate

604
00:29:16.055 --> 00:29:19.123
As best I can with the
department of agriculture.

605
00:29:19.225 --> 00:29:21.725
I know the head of the trapper
program is chris looney.

606
00:29:23.229 --> 00:29:24.695
I'm not quite sure
about that guy.

607
00:29:24.797 --> 00:29:28.265
He seems a little laid
back for my taste.

608
00:29:28.367 --> 00:29:30.000
So hopefully,
we're all following

609
00:29:30.102 --> 00:29:32.035
In what god wills of
this whole situation,

610
00:29:32.138 --> 00:29:34.471
And we're trying to make
right what has gone wrong.

611
00:29:42.148 --> 00:29:46.517
And-- right.

612
00:29:46.619 --> 00:29:47.451
That is done.

613
00:29:51.590 --> 00:29:54.792
There is some brand new
underwear right there.

614
00:29:54.894 --> 00:29:55.826
That has not even been used.

615
00:30:00.833 --> 00:30:02.733
There are a ton of fruit flies.

616
00:30:02.835 --> 00:30:05.803
There's some sort of
houseflies, a moth,

617
00:30:05.871 --> 00:30:08.238
Probably noctua
pronuba, and then

618
00:30:08.340 --> 00:30:10.207
A handful of yellowjackets.

619
00:30:10.309 --> 00:30:11.742
You manufacture that optimism.

620
00:30:11.844 --> 00:30:14.077
Every single day, like,
this could be the day

621
00:30:14.180 --> 00:30:15.245
That there's one in the trap.

622
00:30:15.347 --> 00:30:17.714
And every day, I believe that.

623
00:30:17.817 --> 00:30:20.184
And every day, I'm disappointed.

624
00:30:20.286 --> 00:30:22.119
But I'll never have
that excitement,

625
00:30:22.254 --> 00:30:24.221
I'll never get to find
a hornet in the trap

626
00:30:24.323 --> 00:30:26.990
If I don't actually get all the
traps and check the traps, so.

627
00:30:27.092 --> 00:30:27.958
Hm.

628
00:30:30.729 --> 00:30:31.762
Somebody took one of my traps.

629
00:30:38.437 --> 00:30:39.570
Little frustrating.

630
00:30:41.807 --> 00:30:45.008
I really want to get live
hornets so that we can get

631
00:30:45.110 --> 00:30:48.545
Our usda colleagues to
work on what the best

632
00:30:48.647 --> 00:30:50.547
Detractant could possibly be.

633
00:30:50.649 --> 00:30:52.749
Some of the other motivations
for coming up with better lures

634
00:30:52.852 --> 00:30:54.651
Than orange juice and
rice wine is that it's

635
00:30:54.753 --> 00:30:55.886
Really gross and sticky.

636
00:30:55.988 --> 00:30:57.888
It'd be great to have
something that is less nasty

637
00:30:57.990 --> 00:30:58.822
And doesn't spill.

638
00:31:00.526 --> 00:31:01.959
That's one of my
motivations, anyway.

639
00:31:02.061 --> 00:31:05.963
Full of mostly fruit flies.

640
00:31:06.065 --> 00:31:08.098
Drosophila is the genus.

641
00:31:08.200 --> 00:31:09.867
A couple of sad moths.

642
00:31:09.969 --> 00:31:12.169
More fruit flies, kind
of like the last one.

643
00:31:12.271 --> 00:31:15.906
Yeah, this is a sticky trap,
got a glue surface on here.

644
00:31:17.376 --> 00:31:19.843
And then it actually has the
giant hornet alarm pheromone,

645
00:31:19.945 --> 00:31:21.578
Which seems like a risky
thing to put on a trap,

646
00:31:21.680 --> 00:31:23.146
But whatever, we're
trying everything.

647
00:31:23.249 --> 00:31:25.782
Being a scientist is the
human being's natural state.

648
00:31:25.885 --> 00:31:27.818
We are always taking
in information,

649
00:31:27.920 --> 00:31:29.453
Processing it, and doing
our very, very best

650
00:31:29.555 --> 00:31:32.289
To make repeatable
decisions about our world

651
00:31:32.391 --> 00:31:33.991
Based on the
information we take in.

652
00:31:34.093 --> 00:31:37.394
So everybody's kind of a
citizen scientist all the time.

653
00:31:37.496 --> 00:31:39.529
But all the citizen
scientists that

654
00:31:39.632 --> 00:31:41.465
Have taken this on
have really, I think,

655
00:31:41.567 --> 00:31:43.000
Changed the game for us.

656
00:31:43.102 --> 00:31:45.736
All of the people that live here
that have stepped up and placed

657
00:31:45.838 --> 00:31:47.871
These traps out have
essentially quadrupled

658
00:31:47.973 --> 00:31:49.973
Our ability to look
on the landscape

659
00:31:50.075 --> 00:31:51.341
For this invasive species.

660
00:31:51.443 --> 00:31:53.210
It's just huge.

661
00:31:53.312 --> 00:31:54.244
It makes me a little teary.

662
00:32:13.732 --> 00:32:15.065
We've got a whole
bunch of zeros.

663
00:32:15.167 --> 00:32:17.567
And it leaves you wondering, do
we have a whole bunch of zeros

664
00:32:17.670 --> 00:32:18.936
Because there are
no hornets here

665
00:32:19.038 --> 00:32:20.971
To be attracted to the traps,
or because none of the traps

666
00:32:21.040 --> 00:32:22.572
Are attractive?

667
00:32:22.675 --> 00:32:25.475
I think we would learn so much
if we could just find one nest.

668
00:32:25.577 --> 00:32:26.843
That's why I keep
not going home.

669
00:32:26.946 --> 00:32:28.979
I want to stay up here until
I find a nest or somebody else

670
00:32:29.081 --> 00:32:29.813
Does.

671
00:32:29.915 --> 00:32:31.815
[whistling]

672
00:32:35.387 --> 00:32:37.087
Five more sites to go.

673
00:32:37.189 --> 00:32:38.255
That right?

674
00:32:38.357 --> 00:32:39.222
Six more sites to go.

675
00:32:57.843 --> 00:32:59.176
Good afternoon.
My name is chris looney.

676
00:32:59.278 --> 00:33:01.178
I work for the washington state
department of agriculture.

677
00:33:01.280 --> 00:33:02.379
I was calling to
talk to somebody

678
00:33:02.481 --> 00:33:04.581
About accessing
property up near blaine

679
00:33:04.683 --> 00:33:06.216
To look for the
asian giant hornets.

680
00:33:08.053 --> 00:33:09.753
I've been siding
the greenhouse,

681
00:33:09.855 --> 00:33:12.189
And I started seeing
bugs, big bugs,

682
00:33:12.291 --> 00:33:13.724
That weren't familiar at all.

683
00:33:15.527 --> 00:33:17.260
I had come in the
shop to grab a tool,

684
00:33:17.363 --> 00:33:19.930
And I heard the
humming sound that I

685
00:33:20.032 --> 00:33:21.365
Realized was the murder hornet.

686
00:33:21.467 --> 00:33:23.600
And at first, I couldn't
tell where it was.

687
00:33:23.702 --> 00:33:27.204
But then I realized it was up
by the open window upstairs.

688
00:33:27.306 --> 00:33:30.974
So this is where I first
saw the hornet up close.

689
00:33:31.076 --> 00:33:35.345
He was coming in here, and he
was landing on the wasp nests.

690
00:33:35.447 --> 00:33:37.047
So I went, and I got
a can of wasp spray.

691
00:33:37.149 --> 00:33:39.883
I held my breath,
and I shot, and I

692
00:33:39.985 --> 00:33:41.818
Basically emptied half a can.

693
00:33:41.920 --> 00:33:43.653
Oh, yeah, that does
sound like a good spot.

694
00:33:43.756 --> 00:33:45.322
Water and conifers, all right.

695
00:33:45.424 --> 00:33:47.858
He did observe them flying
off in a straight bee line

696
00:33:47.960 --> 00:33:50.627
To the southwest,
which is great news.

697
00:33:50.729 --> 00:33:52.129
Because as far as
we know, that's

698
00:33:52.231 --> 00:33:54.798
What they do when they're
returning to their nest.

699
00:33:54.900 --> 00:33:56.666
And he sent me some pictures
and said, here it is.

700
00:33:56.769 --> 00:33:58.668
They're walking around,
looking at stuff.

701
00:33:58.771 --> 00:33:59.870
That's fantastic then.

702
00:34:01.540 --> 00:34:04.441
Chris pulled in our driveway,
and we stood for about an hour,

703
00:34:04.543 --> 00:34:09.246
Just watching and
listening for hornets.

704
00:34:09.348 --> 00:34:10.213
Didn't really see any.

705
00:34:10.315 --> 00:34:11.481
And right when I
was about to leave--

706
00:34:11.583 --> 00:34:14.684
We saw one fly over
the ridge of the house

707
00:34:14.787 --> 00:34:17.387
Down over the roof
and start buzzing

708
00:34:17.489 --> 00:34:20.390
Around the eaves of the house.

709
00:34:20.492 --> 00:34:24.227
And chris sauntered over
there with his basically big

710
00:34:24.329 --> 00:34:25.495
Butterfly net.

711
00:34:25.597 --> 00:34:27.697
And when he was in
the right position,

712
00:34:27.800 --> 00:34:30.767
He arced it over,
grabbed it, flipped

713
00:34:30.869 --> 00:34:32.335
The net around to lock it in.

714
00:34:32.438 --> 00:34:33.737
And we were able
to capture it.

715
00:34:33.839 --> 00:34:35.272
And that's what's
in this cooler.

716
00:34:49.121 --> 00:34:51.288
This is what we
call the robo fly.

717
00:34:51.390 --> 00:34:54.391
What we're trying to do
is build this little robot

718
00:34:54.493 --> 00:34:57.461
That's about the size
of an actual insect.

719
00:34:57.563 --> 00:34:59.896
That was my first
introduction to building

720
00:34:59.998 --> 00:35:03.767
These sorts of small things
that are at insect scale.

721
00:35:03.869 --> 00:35:06.503
And at some point, I realized
that those same small things

722
00:35:06.605 --> 00:35:08.605
That we'd been building
to put on little robots

723
00:35:08.707 --> 00:35:10.340
Could also be attached
to live insects.

724
00:35:12.111 --> 00:35:15.011
I found out about this issue
with the asian giant hornets,

725
00:35:15.114 --> 00:35:18.281
So I reached out to the
department of agriculture.

726
00:35:18.383 --> 00:35:22.319
And it turns out that the sorts
of radio technologies that we

727
00:35:22.421 --> 00:35:24.321
Had been building in
the lab were pretty

728
00:35:24.423 --> 00:35:26.590
Well-aligned with what they
needed to do-- something

729
00:35:26.692 --> 00:35:29.993
Small enough to be able
to attach to a live hornet

730
00:35:30.095 --> 00:35:32.963
That we could then use to try
to follow it back to its nest.

731
00:35:37.436 --> 00:35:38.268
Oh.

732
00:35:41.240 --> 00:35:42.105
There she is.

733
00:35:43.475 --> 00:35:45.342
I do have it on ice
to keep it calm.

734
00:35:45.444 --> 00:35:46.843
And I'll try to do
it fast so if she

735
00:35:46.945 --> 00:35:48.512
Does wake up, doesn't fly away.

736
00:35:50.182 --> 00:35:52.015
You can see its abdomen
is moving in and out.

737
00:35:53.752 --> 00:35:55.051
So insects don't
have lungs, right.

738
00:35:55.154 --> 00:35:56.887
They just have this
network of tubes that feeds

739
00:35:56.989 --> 00:35:58.622
Oxygen to batches of cells.

740
00:35:58.724 --> 00:36:00.056
And when they pump
their abdomen like that,

741
00:36:00.159 --> 00:36:02.092
Sometimes, they're
helping force air through.

742
00:36:10.936 --> 00:36:12.536
I don't know if this
wasp is going to make it,

743
00:36:12.638 --> 00:36:15.338
But it's the best
lead we've had so far.

744
00:36:15.440 --> 00:36:18.341
And it came from an actual
human being just seeing one

745
00:36:18.443 --> 00:36:20.243
And calling us,
not our bad mimosas

746
00:36:20.345 --> 00:36:22.212
That we hang up all
over the landscape.

747
00:36:22.314 --> 00:36:23.280
Oh, look at those wings.

748
00:36:23.382 --> 00:36:25.081
All right, I'm going
to close this up

749
00:36:25.184 --> 00:36:26.616
Because I don't
want it to fly away.

750
00:36:28.754 --> 00:36:30.120
Fingers crossed.

751
00:36:30.222 --> 00:36:33.423
This has been like chasing
ghosts the whole time,

752
00:36:33.525 --> 00:36:35.025
And finally, I got
a ghost in the net.

753
00:36:38.397 --> 00:36:40.363
This is almost a win.

754
00:36:43.936 --> 00:36:46.136
Tomorrow morning,
we're hopefully

755
00:36:46.238 --> 00:36:49.439
Going to find a happy, healthy
hornet that wants to go home.

756
00:36:49.541 --> 00:36:52.342
We will glue a
bluetooth tag to it,

757
00:36:52.444 --> 00:36:55.011
And work with our
buddy vikram, and try

758
00:36:55.113 --> 00:36:56.379
To follow it through the woods.

759
00:37:03.722 --> 00:37:06.156
So this is the receiver
that we're using.

760
00:37:06.258 --> 00:37:08.425
We have this large
directional antenna

761
00:37:08.527 --> 00:37:11.161
That's receiving the broadcast
coming from the little tag

762
00:37:11.263 --> 00:37:12.429
That we're going to
put on the hornet.

763
00:37:12.531 --> 00:37:14.164
So we've got three of
the little trackers.

764
00:37:14.266 --> 00:37:16.366
And I just have
this charger here

765
00:37:16.468 --> 00:37:18.201
To make sure the
batteries stayed at 100%

766
00:37:18.303 --> 00:37:19.736
Until we need them.

767
00:37:19.838 --> 00:37:20.670
All right.

768
00:37:22.608 --> 00:37:24.174
Do you guys have something
to apply glue with?

769
00:37:27.713 --> 00:37:30.213
The mission this morning is
to see if all of this works.

770
00:37:30.315 --> 00:37:31.748
We're going to try
tagging a hornet.

771
00:37:31.850 --> 00:37:33.250
We're going to hope the
hornet's still alive.

772
00:37:33.352 --> 00:37:34.951
We're going to hope the
hornet does what hornets do,

773
00:37:35.020 --> 00:37:36.086
Which is to fly home.

774
00:37:36.188 --> 00:37:38.088
And we're going to hope
that the phones do what

775
00:37:38.190 --> 00:37:39.623
Vikram wants them to
do, which is to help

776
00:37:39.725 --> 00:37:41.524
Us find where that home is.

777
00:37:41.627 --> 00:37:42.859
That's really it.

778
00:37:42.961 --> 00:37:46.296
If we get all of that done
today, I can probably retire.

779
00:37:46.398 --> 00:37:48.098
We'll have had a major success.

780
00:37:49.668 --> 00:37:50.734
It is super active.

781
00:37:53.405 --> 00:37:54.671
I'm going to put
her right on the ice

782
00:37:54.773 --> 00:37:56.506
And let her be real
cold for a minute.

783
00:37:56.608 --> 00:37:57.641
So what are we doing?

784
00:37:57.743 --> 00:37:59.142
So I've got super glue here.

785
00:37:59.244 --> 00:38:01.244
You can put a drop then
and put it on its back.

786
00:38:01.346 --> 00:38:02.379
All right.

787
00:38:02.481 --> 00:38:05.915
The other thing is I
found on some insects

788
00:38:06.018 --> 00:38:09.319
That scoring the area where
you're going to attach it,

789
00:38:09.421 --> 00:38:10.553
That helps the
glue stick better.

790
00:38:10.656 --> 00:38:11.388
Sure.

791
00:38:11.490 --> 00:38:12.689
So you're going to do this?

792
00:38:12.791 --> 00:38:14.324
I don't know if I'm
going to score this insect.

793
00:38:14.426 --> 00:38:15.558
Yeah, that's what I thought.

794
00:38:15.661 --> 00:38:17.060
[chuckle]

795
00:38:25.604 --> 00:38:26.736
It's going to be ok.

796
00:38:26.838 --> 00:38:27.871
You're going to love this.

797
00:38:38.750 --> 00:38:39.649
Yeah, yeah.

798
00:38:40.752 --> 00:38:41.685
Ok.

799
00:38:41.787 --> 00:38:44.287
So I see a little
bit of it has dried.

800
00:38:44.389 --> 00:38:46.489
We probably want to put
more glue, otherwise,

801
00:38:46.591 --> 00:38:47.791
I think it's just
going to fall off.

802
00:38:47.893 --> 00:38:48.658
Yeah.

803
00:38:48.760 --> 00:38:49.793
And it just did.

804
00:38:49.895 --> 00:38:51.961
Here, you hold it, chris.

805
00:38:52.064 --> 00:38:53.296
And I'll try to get glue.

806
00:38:55.334 --> 00:38:56.866
So you want to put some
glue on from the sides--

807
00:38:57.002 --> 00:38:58.168
No, no, no.
Her wings are getting stuck.

808
00:38:58.270 --> 00:38:59.102
It's no good.

809
00:39:00.605 --> 00:39:02.305
It just needs to chill.

810
00:39:08.880 --> 00:39:09.612
Relax.

811
00:39:09.715 --> 00:39:10.447
Just relax.

812
00:39:10.549 --> 00:39:11.281
It's fine.

813
00:39:11.383 --> 00:39:12.315
Wings are all ripped up.

814
00:39:12.417 --> 00:39:13.283
Well.

815
00:39:15.120 --> 00:39:15.952
Let's try it again.

816
00:39:18.156 --> 00:39:19.022
Come here, girl.

817
00:39:27.933 --> 00:39:32.335
This is a lot of crap to
happen to this poor wasp.

818
00:39:32.437 --> 00:39:33.269
Yeah.

819
00:39:35.841 --> 00:39:37.006
Boy, do you think that's--

820
00:39:37.109 --> 00:39:39.275
Do you think we still need
to reinforce with glue?

821
00:39:39.378 --> 00:39:40.543
No, I think that's--

822
00:39:40.645 --> 00:39:43.513
We don't want to risk
getting her wings any gluier.

823
00:39:43.615 --> 00:39:47.050
Yeah, tap a little accelerant
on there, but I mean,

824
00:39:47.152 --> 00:39:48.418
It's pretty much dry.

825
00:39:52.190 --> 00:39:53.022
Yeah.

826
00:39:54.926 --> 00:39:56.025
It's on there.

827
00:39:56.128 --> 00:39:57.594
It's on there
pretty good though.

828
00:40:06.204 --> 00:40:07.937
She's not happy.

829
00:40:08.039 --> 00:40:09.406
No, not happy.

830
00:40:09.508 --> 00:40:10.507
You're right.

831
00:40:10.609 --> 00:40:12.442
So I'm going to put her
in here for a minute.

832
00:40:12.544 --> 00:40:13.276
All right.

833
00:40:13.378 --> 00:40:14.210
Ok.

834
00:40:24.256 --> 00:40:25.655
Oh, it came off.

835
00:40:25.757 --> 00:40:27.557
[groaning]

836
00:40:34.332 --> 00:40:35.465
Didn't sleep last night.

837
00:40:35.567 --> 00:40:37.233
Full of weird anxiety dreams.

838
00:40:37.335 --> 00:40:39.002
I had a dream I was at seaworld.

839
00:40:39.104 --> 00:40:42.572
And I needed to sign my
name on a piece of paper,

840
00:40:42.674 --> 00:40:44.374
And I couldn't sign it right.

841
00:40:44.476 --> 00:40:45.842
It's like the paper
was all soggy.

842
00:40:45.944 --> 00:40:46.776
What a drag.

843
00:40:50.715 --> 00:40:51.681
Could also do the--

844
00:40:53.752 --> 00:40:54.984
Tie the string too.

845
00:40:56.922 --> 00:40:58.221
See what I'm saying?

846
00:40:58.323 --> 00:40:59.189
Loop it around.

847
00:41:00.992 --> 00:41:03.760
Like a couple loops around
the abdomen with string.

848
00:41:10.569 --> 00:41:11.434
Dental floss.

849
00:41:14.239 --> 00:41:18.741
We are going to try basically
dangling it from the petiole,

850
00:41:18.844 --> 00:41:22.245
So the area where the
mesosoma and the metasoma

851
00:41:22.347 --> 00:41:24.647
Are joined together is very,
very narrow, very flexible.

852
00:41:24.749 --> 00:41:26.916
It's how a wasp can sting
you all over the place.

853
00:41:27.018 --> 00:41:28.751
We're going to make a
little cinchy noose.

854
00:41:28.854 --> 00:41:30.520
We'll put it around the
abdomen, cinch it up,

855
00:41:30.622 --> 00:41:31.721
And just let the tag dangle.

856
00:41:33.258 --> 00:41:35.325
I would very much like
this to work though.

857
00:41:36.661 --> 00:41:37.527
All right, lady.

858
00:41:39.264 --> 00:41:41.264
Ok, let's do this again.

859
00:41:53.945 --> 00:41:54.811
Now we're talking.

860
00:41:58.416 --> 00:41:59.716
Man: I see there.

861
00:41:59.818 --> 00:42:02.852
All right, now
let her warm up.

862
00:42:06.157 --> 00:42:07.590
Let's get the phones.

863
00:42:07.692 --> 00:42:09.859
Get the gps going.

864
00:42:13.131 --> 00:42:14.130
[shout]

865
00:42:46.398 --> 00:42:47.997
Well, I don't think she's
going to be able to fly.

866
00:42:48.099 --> 00:42:49.632
We glued her wings together.

867
00:42:49.734 --> 00:42:50.867
She's trying to--

868
00:42:50.969 --> 00:42:52.001
Yeah.

869
00:42:52.103 --> 00:42:53.736
So we're going to have
to catch another one.

870
00:43:06.217 --> 00:43:09.352
What I am wondering
is if she is releasing

871
00:43:09.454 --> 00:43:11.254
Alarm pheromones as we speak.

872
00:43:11.356 --> 00:43:12.555
That's what I'm wondering.

873
00:43:16.328 --> 00:43:17.393
Yeah, that's a bummer.

874
00:43:27.272 --> 00:43:28.538
So are you going
to take care of her

875
00:43:28.640 --> 00:43:29.539
For the rest of her life?

876
00:43:31.242 --> 00:43:34.177
If by "take care of her,"
you mean chop her legs

877
00:43:34.279 --> 00:43:36.245
Off and analyze her dna, yes.

878
00:43:54.799 --> 00:43:55.999
Ted mcfall: Is that
the famous conrad.

879
00:43:56.067 --> 00:43:57.500
- Hi, I'm conrad.
- You are the conrad.

880
00:43:57.602 --> 00:43:58.668
I'm ted mcfall.
Nice to meet you.

881
00:43:58.770 --> 00:43:59.502
Oh, you're ted.
Nice.

882
00:43:59.604 --> 00:44:00.570
Yeah, yeah.

883
00:44:00.672 --> 00:44:01.838
I recognize you from
the youtube videos.

884
00:44:01.940 --> 00:44:02.905
Nice.

885
00:44:03.008 --> 00:44:04.407
So I'm on the end
of just being a victim

886
00:44:04.509 --> 00:44:05.775
Of the asian giant hornet.

887
00:44:05.877 --> 00:44:07.243
So far, I haven't killed one.

888
00:44:07.345 --> 00:44:09.212
I haven't even seen
one flying yet myself.

889
00:44:09.314 --> 00:44:11.748
So to meet the guy on the
other side of the border that

890
00:44:11.850 --> 00:44:14.384
Has actually killed a nest
and killed the murder hornets

891
00:44:14.486 --> 00:44:16.486
Over there, that's kind of
like heroic for this part

892
00:44:16.588 --> 00:44:18.321
Of the country for sure.

893
00:44:18.423 --> 00:44:22.025
I had the dubious distinction
of serving as the trigger

894
00:44:22.127 --> 00:44:26.462
Man for the eradication
of the first nest

895
00:44:26.564 --> 00:44:30.933
Of asian giant hornets
discovered in north america.

896
00:44:31.036 --> 00:44:33.836
About mid-August 2019,
specimens started

897
00:44:33.938 --> 00:44:36.372
Showing up in the province
of british columbia.

898
00:44:36.474 --> 00:44:38.608
A colleague of mine,
she and her husband

899
00:44:38.710 --> 00:44:40.977
Were following a
footpath along a creek

900
00:44:41.079 --> 00:44:44.447
And saw the flightline of the
hornets going to their nest.

901
00:44:46.284 --> 00:44:48.985
I had some experience
collecting entire colonies

902
00:44:49.087 --> 00:44:51.621
Of yellowjackets
for the preparation

903
00:44:51.723 --> 00:44:53.623
Of desensitization
serum for people

904
00:44:53.725 --> 00:44:55.958
That are allergic to
yellowjacket stings.

905
00:44:56.061 --> 00:44:58.194
So she called me and
said, we found the nest,

906
00:44:58.296 --> 00:44:59.595
We found the nest.

907
00:44:59.698 --> 00:45:02.565
Come over, and
we'll do something.

908
00:45:02.667 --> 00:45:06.669
So I grabbed my carbon
dioxide fire extinguisher

909
00:45:06.771 --> 00:45:09.939
And my handi-vac that I
normally used for sucking

910
00:45:10.041 --> 00:45:11.074
Up the yellowjackets.

911
00:45:11.176 --> 00:45:14.243
I put on the kevlar vest
that I have in case--

912
00:45:14.345 --> 00:45:15.311
Interviewer: Bulletproof vest?

913
00:45:15.413 --> 00:45:16.412
Yeah, a bulletproof vest.

914
00:45:20.685 --> 00:45:22.985
I squatted down
with the handi-vac.

915
00:45:23.088 --> 00:45:27.190
I turned it on and tried to
suck up what I see coming

916
00:45:27.292 --> 00:45:28.224
Out of the nest entrance.

917
00:45:28.326 --> 00:45:29.158
And it's kind of like--

918
00:45:29.260 --> 00:45:29.992
[buzzing]

919
00:45:30.095 --> 00:45:31.961
Like stuck to the nozzle.

920
00:45:32.063 --> 00:45:33.830
And it's like, this
isn't going to work.

921
00:45:33.932 --> 00:45:36.866
And then it freed
itself from the suction

922
00:45:36.968 --> 00:45:38.601
And then stung me four times.

923
00:45:39.971 --> 00:45:41.237
Yeah, it hurt.

924
00:45:41.339 --> 00:45:43.005
It's like red, hot thumbtacks
being driven in your flesh.

925
00:45:43.108 --> 00:45:44.741
Not everybody's into that.

926
00:45:44.843 --> 00:45:47.176
I give them a dose
of carbon dioxide.

927
00:45:55.086 --> 00:45:57.587
When insects are flying,
they're metabolizing a lot

928
00:45:57.689 --> 00:46:00.223
Of oxygen. If you
give them carbon

929
00:46:00.325 --> 00:46:03.192
Dioxide instead of oxygen,
they basically suffocate--

930
00:46:03.294 --> 00:46:04.627
[snap]-- right away.

931
00:46:06.831 --> 00:46:07.663
It's like dagobah.

932
00:46:11.035 --> 00:46:11.801
Look at this.

933
00:46:11.903 --> 00:46:12.835
The size of the cells.

934
00:46:12.937 --> 00:46:14.704
Oh my god.

935
00:46:14.806 --> 00:46:16.072
Oh, look at this.

936
00:46:16.174 --> 00:46:17.039
Oh my goodness.

937
00:46:17.142 --> 00:46:18.508
It was getting
at the time of year

938
00:46:18.610 --> 00:46:21.944
Where sexual reproductives
would be cast off,

939
00:46:22.046 --> 00:46:25.181
So it was pretty imperative
that the nest be eradicated

940
00:46:25.283 --> 00:46:26.983
As quickly as possible.

941
00:46:27.085 --> 00:46:28.684
This, there's the queen.

942
00:46:28.787 --> 00:46:29.552
Oh, that's the queen?

943
00:46:29.654 --> 00:46:30.920
- So.
- Let me see.

944
00:46:31.022 --> 00:46:31.754
Oh, look at her.

945
00:46:31.856 --> 00:46:32.588
Look at the size.

946
00:46:32.690 --> 00:46:34.557
Oh my god.

947
00:46:34.659 --> 00:46:35.591
Let me see the queen.

948
00:46:35.693 --> 00:46:36.959
Look how beautiful she is.

949
00:46:37.061 --> 00:46:37.794
Do you see her?

950
00:46:37.896 --> 00:46:38.628
I know.

951
00:46:38.730 --> 00:46:40.029
I know, I know.

952
00:46:40.131 --> 00:46:42.665
It is god's creature.

953
00:46:42.767 --> 00:46:43.633
Oh my god.

954
00:46:44.803 --> 00:46:46.235
There's a certain
pang in having

955
00:46:46.337 --> 00:46:49.605
Been involved in its
eradication on the island.

956
00:46:49.707 --> 00:46:51.707
It's a beautiful animal.

957
00:46:51.810 --> 00:46:55.912
But it's an invasive
species, and the impacts

958
00:46:56.014 --> 00:46:58.047
That it might have
on the environment

959
00:46:58.149 --> 00:47:00.483
Are unknown, so why risk it?

960
00:47:00.585 --> 00:47:01.884
Oh, awesome.
Hit him.

961
00:47:01.986 --> 00:47:02.885
It's an asian giant hornet.

962
00:47:02.987 --> 00:47:04.487
Get him.

963
00:47:04.589 --> 00:47:06.489
I figured if we
found the nest,

964
00:47:06.591 --> 00:47:08.825
I figured I'd go incognito.

965
00:47:10.695 --> 00:47:11.961
So that's the queen.

966
00:47:12.063 --> 00:47:13.029
She is huge.

967
00:47:13.131 --> 00:47:13.896
Yeah.

968
00:47:13.998 --> 00:47:14.864
Wow.

969
00:47:17.769 --> 00:47:18.568
Can I hold her?

970
00:47:18.670 --> 00:47:19.535
Yeah, for sure.

971
00:47:19.637 --> 00:47:20.870
Yeah.

972
00:47:20.972 --> 00:47:21.804
Wow.

973
00:47:21.906 --> 00:47:22.805
Like what I've
been doing with--

974
00:47:22.907 --> 00:47:24.507
Oh, [bleep].

975
00:47:24.609 --> 00:47:25.441
I did it.

976
00:47:25.543 --> 00:47:27.543
I've done it twice
already today.

977
00:47:27.645 --> 00:47:29.645
Here, let me hang it.

978
00:47:29.747 --> 00:47:31.047
Do you need the camera?

979
00:47:31.149 --> 00:47:32.682
Come on.

980
00:47:32.784 --> 00:47:34.250
My pet murder hornet. Oh.

981
00:47:34.352 --> 00:47:35.384
Ruthie danielsen:
Oh my goodness.

982
00:47:35.486 --> 00:47:36.586
Conrad berube: Do you
want to take off the mask?

983
00:47:36.688 --> 00:47:37.787
Yeah.
Ruthie danielsen: Yeah, yeah.

984
00:47:37.889 --> 00:47:38.621
Conrad berube: There you go.
Ruthie danielsen: Easy.

985
00:47:38.723 --> 00:47:39.589
Oh.

986
00:47:41.226 --> 00:47:43.059
Get a quick selfie
with the famous conrad.

987
00:47:43.161 --> 00:47:45.995
Ok, we're going to look
nobly in each direction

988
00:47:46.097 --> 00:47:47.096
And take our masks off.

989
00:47:47.198 --> 00:47:48.831
Ruthie danielsen: You
want me to take it?

990
00:47:48.933 --> 00:47:49.966
Ok, ready?

991
00:47:50.068 --> 00:47:51.334
Look in the opposite
direction and look noble.

992
00:47:57.308 --> 00:47:59.342
Yeah, normally, the
sting is inside.

993
00:47:59.444 --> 00:48:01.410
But in death, they
kind of lose their--

994
00:48:01.512 --> 00:48:02.678
- Oh, sure.
- You know?

995
00:48:02.780 --> 00:48:04.080
Yeah.

996
00:48:04.182 --> 00:48:05.882
It's going to be hard to get
them though, don't you think?

997
00:48:05.984 --> 00:48:06.716
Yeah.

998
00:48:06.818 --> 00:48:08.117
Yeah.

999
00:48:08.219 --> 00:48:10.186
I feel like it's like trying to
stop coronavirus or something,

1000
00:48:10.288 --> 00:48:11.520
You know?

1001
00:48:11.623 --> 00:48:14.257
Once it's here, how are you
ever going to get them all?

1002
00:48:14.359 --> 00:48:15.191
Yeah.

1003
00:48:17.495 --> 00:48:19.462
Conrad just had
offered to come

1004
00:48:19.564 --> 00:48:23.299
Down and share his insights
from his experience

1005
00:48:23.401 --> 00:48:24.600
On vancouver island.

1006
00:48:24.702 --> 00:48:26.068
We've been
discussing the biology

1007
00:48:26.170 --> 00:48:30.940
And kicking around ideas for how
to better attract and monitor

1008
00:48:31.042 --> 00:48:33.876
For the workers who
are out foraging.

1009
00:48:33.978 --> 00:48:38.214
So this is the rice
wine and orange juice?

1010
00:48:38.316 --> 00:48:39.181
And honey.

1011
00:48:39.284 --> 00:48:40.283
Honey.

1012
00:48:40.385 --> 00:48:41.851
All right, nothing in that.

1013
00:48:41.953 --> 00:48:45.288
So where are you deciding
to put your live traps?

1014
00:48:45.390 --> 00:48:46.889
So this one.

1015
00:48:47.025 --> 00:48:48.524
So this is a live trap, eh?

1016
00:48:50.628 --> 00:48:51.360
Wow.

1017
00:48:51.462 --> 00:48:53.229
Has a hornet in it.

1018
00:48:53.331 --> 00:48:56.065
This is the first one that
I've caught in one of my traps.

1019
00:48:56.167 --> 00:48:57.266
We caught one.

1020
00:48:57.368 --> 00:49:00.836
And now we're going to
tag it and follow it home.

1021
00:49:08.179 --> 00:49:09.445
Yeah, there.

1022
00:49:09.547 --> 00:49:10.379
Number 4.

1023
00:49:11.883 --> 00:49:14.784
So chris just glued on
the little piece of string

1024
00:49:14.886 --> 00:49:15.952
That we're going
to use to actually

1025
00:49:16.054 --> 00:49:17.253
Attach this to the hornet.

1026
00:49:17.355 --> 00:49:20.456
If you remember, last
time, we had some issues

1027
00:49:20.558 --> 00:49:22.191
Being able to apply glue.

1028
00:49:22.293 --> 00:49:23.392
Kept moving around.

1029
00:49:23.494 --> 00:49:25.328
I think a little bit got
on one of the hind wings.

1030
00:49:25.430 --> 00:49:27.396
And so now we're
trying this method.

1031
00:49:27.498 --> 00:49:28.397
All right.

1032
00:49:33.805 --> 00:49:34.637
All right, girl.

1033
00:49:37.208 --> 00:49:38.040
She looks pretty cold.

1034
00:49:57.028 --> 00:49:57.860
Think you're good.

1035
00:50:00.898 --> 00:50:02.098
I've only got her
by one wing now.

1036
00:50:03.701 --> 00:50:04.467
Careful.

1037
00:50:04.569 --> 00:50:05.401
Careful.

1038
00:50:06.938 --> 00:50:07.770
All right.

1039
00:50:12.977 --> 00:50:14.076
I'm not going to
mess with it anymore.

1040
00:50:14.178 --> 00:50:15.411
It's just going
to be where it is.

1041
00:50:17.348 --> 00:50:19.181
I actually wish I had made
it a little bit tighter.

1042
00:50:19.283 --> 00:50:20.249
It's going to be fine.

1043
00:50:20.351 --> 00:50:21.183
Yeah.

1044
00:50:22.854 --> 00:50:24.687
All right, let's
take her over here

1045
00:50:24.789 --> 00:50:25.988
Where we hope to release her.

1046
00:50:31.329 --> 00:50:32.361
All right, there.

1047
00:50:32.463 --> 00:50:33.696
Now she's up there, warming up.

1048
00:50:33.798 --> 00:50:34.897
Hopefully, she can walk around.

1049
00:50:46.010 --> 00:50:46.976
She's agitated.

1050
00:50:47.078 --> 00:50:47.910
Keep your distance.

1051
00:51:07.932 --> 00:51:08.764
There she goes.

1052
00:51:10.535 --> 00:51:12.268
All right, well, let's see.

1053
00:51:12.370 --> 00:51:13.969
Oh, yeah, I just got it.

1054
00:51:14.072 --> 00:51:15.237
This way.

1055
00:51:15.339 --> 00:51:16.806
Oh, yeah.

1056
00:51:16.908 --> 00:51:17.840
Yeah.

1057
00:51:17.942 --> 00:51:19.041
So I think somewhere
up in these trees.

1058
00:51:19.143 --> 00:51:20.242
Pretty good.

1059
00:51:20.344 --> 00:51:23.045
Yeah, that actually means
she's relatively close

1060
00:51:23.147 --> 00:51:25.147
Somewhere, somewhere up there.

1061
00:51:27.118 --> 00:51:28.517
Well, that didn't take
long to lose sight, huh?

1062
00:51:28.619 --> 00:51:29.452
Yeah.

1063
00:51:40.865 --> 00:51:41.597
Are you still seeing it?

1064
00:51:41.699 --> 00:51:42.431
No.

1065
00:51:42.533 --> 00:51:43.232
Because I'm not either.

1066
00:51:43.334 --> 00:51:44.066
Nope.

1067
00:51:44.168 --> 00:51:45.201
She is gone somewhere.

1068
00:51:48.272 --> 00:51:50.573
Hey, chris, I'm going
to walk around this way.

1069
00:51:50.675 --> 00:51:51.607
Ok.

1070
00:51:51.709 --> 00:51:52.675
You want to wander
around over there?

1071
00:51:52.777 --> 00:51:53.609
Indeed.

1072
00:51:55.113 --> 00:51:56.512
I think she probably flew off.

1073
00:52:06.324 --> 00:52:07.556
I picked it up.

1074
00:52:07.658 --> 00:52:10.092
It was pretty strong there
for a second, then it stopped.

1075
00:52:13.564 --> 00:52:14.330
Oh, yeah.

1076
00:52:14.432 --> 00:52:15.664
I got it.

1077
00:52:15.766 --> 00:52:16.732
Over here.

1078
00:52:16.834 --> 00:52:18.167
Still think they're
back there somewhere.

1079
00:52:18.269 --> 00:52:19.301
I think that's it.

1080
00:52:19.403 --> 00:52:20.669
Now it's time to start
wandering in the woods.

1081
00:52:20.771 --> 00:52:21.604
Yep.

1082
00:52:29.714 --> 00:52:32.314
Not sure I like this many people
creeping up on a nest, guys.

1083
00:52:35.119 --> 00:52:35.951
Which fork?

1084
00:52:37.288 --> 00:52:39.054
I know everybody's
excited, but please,

1085
00:52:39.157 --> 00:52:41.857
There is actually a real danger
to what we're doing today.

1086
00:52:41.959 --> 00:52:43.225
Are you picking it up?

1087
00:52:43.327 --> 00:52:46.795
I think she looped back around
the back side of the woods.

1088
00:52:46.898 --> 00:52:47.630
That way?

1089
00:52:47.732 --> 00:52:48.564
Yeah.

1090
00:52:53.104 --> 00:52:54.637
We lost the signal.

1091
00:52:54.739 --> 00:52:55.604
Just had it again.

1092
00:52:59.377 --> 00:53:01.343
Yeah, I'm getting
really good signal

1093
00:53:01.445 --> 00:53:03.078
Pointing straight down here.

1094
00:53:03.181 --> 00:53:05.247
We lost it, and chris got it.

1095
00:53:05.349 --> 00:53:10.719
Yeah, chris is all the way
back over on the other side

1096
00:53:10.821 --> 00:53:11.620
Of this yard.

1097
00:53:11.722 --> 00:53:13.122
That thing took off.

1098
00:53:13.257 --> 00:53:14.924
They can fly really fast.

1099
00:53:15.026 --> 00:53:17.493
I wonder if the nest
isn't right there.

1100
00:53:17.595 --> 00:53:20.262
She could be underground.

1101
00:53:20.364 --> 00:53:22.598
So what brave soul's going
to go wandering in there

1102
00:53:22.700 --> 00:53:23.432
To see what's going on?

1103
00:53:23.534 --> 00:53:24.333
Me.

1104
00:53:25.903 --> 00:53:28.237
I've got clippers
in the truck.

1105
00:53:28.339 --> 00:53:30.239
Well, we're going to have
to go buy a machete, but yeah.

1106
00:53:46.290 --> 00:53:48.557
But if I go in, I don't
have a signal even slightly.

1107
00:53:48.659 --> 00:53:51.360
So she either got past us,
or she's down in the ground

1108
00:53:51.462 --> 00:53:52.361
There somewhere.

1109
00:53:52.463 --> 00:53:53.963
These blackberry
bushes are nasty.

1110
00:53:55.800 --> 00:53:58.367
Oldest trick-- go backwards
through the blackberries.

1111
00:54:10.781 --> 00:54:14.183
Just wondering what I was
thinking coming along on this.

1112
00:54:23.160 --> 00:54:24.827
All right, I
have 100% lost it.

1113
00:54:28.699 --> 00:54:29.531
She's gone.

1114
00:54:31.869 --> 00:54:33.836
Hey, did you guys lose it?

1115
00:54:33.938 --> 00:54:35.504
I don't see it.

1116
00:54:35.606 --> 00:54:37.973
Yeah, we completely lost it.

1117
00:54:38.075 --> 00:54:39.575
If she started
flying again, then

1118
00:54:39.677 --> 00:54:41.677
Who knows how far
she's gone, right?

1119
00:54:43.080 --> 00:54:44.580
It's probably underground.

1120
00:54:46.083 --> 00:54:48.350
Everybody has lost it now.

1121
00:54:48.452 --> 00:54:49.418
They fly pretty fast.

1122
00:54:52.089 --> 00:54:53.589
What do you say
we call it a day?

1123
00:54:53.691 --> 00:54:54.423
Yeah, call it a day.

1124
00:54:54.525 --> 00:54:55.391
Fun one.

1125
00:55:21.118 --> 00:55:22.451
He was like, I wonder
what the current news

1126
00:55:22.553 --> 00:55:23.652
About murder hornets is.

1127
00:55:23.754 --> 00:55:25.554
So I looked it up, and
the headline was something

1128
00:55:25.656 --> 00:55:28.290
Like, "washington state
fails to track hornet again,"

1129
00:55:28.392 --> 00:55:32.094
Which was true, but it was
a bit of a downer headline.

1130
00:55:32.196 --> 00:55:35.130
I guess I was a little
frustrated whenever they caught

1131
00:55:35.232 --> 00:55:37.266
A murder hornet, and
got glue on its wings,

1132
00:55:37.368 --> 00:55:40.002
And had a little fiasco trying
to put a tracker on them

1133
00:55:40.104 --> 00:55:41.036
And all that.

1134
00:55:41.138 --> 00:55:42.638
I was like, oh,
here's our big chance.

1135
00:55:42.740 --> 00:55:44.006
And then they blew it.

1136
00:55:44.108 --> 00:55:46.008
I was like, oh, come on.

1137
00:55:46.110 --> 00:55:47.509
I know the entomologists
feel like they

1138
00:55:47.611 --> 00:55:48.544
Already know everything.

1139
00:55:48.646 --> 00:55:50.846
But beekeepers are
very well aware

1140
00:55:50.948 --> 00:55:53.048
Of putting creatures to
sleep and waking them back up

1141
00:55:53.150 --> 00:55:53.982
And things like that.

1142
00:55:54.085 --> 00:55:57.419
And honestly, I
was pretty upset.

1143
00:55:57.521 --> 00:55:59.588
One, this has never
been done before.

1144
00:55:59.690 --> 00:56:03.258
Two, my god, try to
get a collar on a cat

1145
00:56:03.361 --> 00:56:05.627
And see how easy
that is sometimes.

1146
00:56:05.730 --> 00:56:09.598
And three, it's like,
excuse me for saying this,

1147
00:56:09.700 --> 00:56:11.467
But [bleep] happens.

1148
00:56:11.569 --> 00:56:13.469
My ex mother-in-law
would always say,

1149
00:56:13.571 --> 00:56:16.939
"it only gets worse," which
is a very glass half empty

1150
00:56:17.041 --> 00:56:18.006
Kind of perspective, right?

1151
00:56:18.109 --> 00:56:20.008
But it also suggests
that this is

1152
00:56:20.111 --> 00:56:23.979
Your best shot, so just
assume this is all you've got

1153
00:56:24.081 --> 00:56:26.115
And go for it 100%.

1154
00:56:26.217 --> 00:56:30.386
Failure is always the logical
conclusion of everything I do,

1155
00:56:30.488 --> 00:56:32.921
But not trying is
even more failing.

1156
00:56:33.023 --> 00:56:34.723
So you just muscle
through it and try

1157
00:56:34.825 --> 00:56:36.558
Not to let that mean voice
in the back of your head

1158
00:56:36.660 --> 00:56:37.726
Tell you to quit.

1159
00:56:41.665 --> 00:56:45.100
These are the food traps
that we set out yesterday.

1160
00:56:45.202 --> 00:56:48.570
But we had a proteinaceous
bait, basically cat food.

1161
00:56:48.672 --> 00:56:50.472
This is tuna paté.

1162
00:56:50.574 --> 00:56:51.807
[meow]

1163
00:56:52.843 --> 00:56:53.575
What is that?

1164
00:56:53.677 --> 00:56:55.010
Is that a kitten?

1165
00:56:55.112 --> 00:56:55.978
Hey, cat.

1166
00:56:57.548 --> 00:56:59.381
What you doing?

1167
00:56:59.483 --> 00:57:00.382
Where'd you come from?

1168
00:57:03.888 --> 00:57:06.121
Find us some asian
giant hornets?

1169
00:57:06.223 --> 00:57:09.425
In my mental wanderings, I
was making the comparison

1170
00:57:09.527 --> 00:57:10.959
Of a sasquatch in saskatoon.

1171
00:57:11.061 --> 00:57:12.394
If you were in an
apartment building,

1172
00:57:12.496 --> 00:57:14.329
And you saw a
sasquatch, and then

1173
00:57:14.432 --> 00:57:16.665
It ran upstairs into
one of the rooms

1174
00:57:16.767 --> 00:57:18.834
In the apartment
building, finding it

1175
00:57:18.936 --> 00:57:20.536
Would be a challenge.

1176
00:57:20.638 --> 00:57:25.507
And the scale of having to find
something in the great outdoors

1177
00:57:25.609 --> 00:57:28.277
As opposed to a single
building is just

1178
00:57:28.379 --> 00:57:31.079
Astronomically more difficult.

1179
00:57:31.182 --> 00:57:33.449
You may have noted I'm not even
looking up here because they're

1180
00:57:33.551 --> 00:57:36.251
Exclusively ground nesters.

1181
00:57:36.353 --> 00:57:42.057
So you're not going to find
them above ground level.

1182
00:57:42.159 --> 00:57:45.127
The only way that you would find
a nest in something like this

1183
00:57:45.229 --> 00:57:47.930
Is if you were to see
hornets flying out

1184
00:57:48.032 --> 00:57:48.997
From the base of the debris.

1185
00:57:50.234 --> 00:57:53.469
In the forested
area around nanaimo,

1186
00:57:53.571 --> 00:57:56.038
There are patches that are
as impenetrable as here,

1187
00:57:56.140 --> 00:57:59.441
But it's not completely
clogged with blackberry.

1188
00:57:59.543 --> 00:58:02.711
Well, I'm going to take
the cat food down and leave

1189
00:58:02.813 --> 00:58:04.746
It for our little furry friend.

1190
00:58:04.849 --> 00:58:05.581
There you go.

1191
00:58:05.683 --> 00:58:06.448
Look.

1192
00:58:06.550 --> 00:58:08.050
There you go.

1193
00:58:08.152 --> 00:58:09.485
Just need to get the
asian giant hornets

1194
00:58:09.587 --> 00:58:11.920
To respond the same way.

1195
00:58:12.022 --> 00:58:17.426
But best laid plans, mice and
men, often go [inaudible]..

1196
00:58:20.865 --> 00:58:23.765
Frankly, I don't think
they're going to find it.

1197
00:58:23.868 --> 00:58:24.766
Oh, hey.

1198
00:58:24.869 --> 00:58:26.702
I looked at the ferry
schedule, and it

1199
00:58:26.804 --> 00:58:28.237
Looks like it makes
more sense for me to try

1200
00:58:28.339 --> 00:58:29.471
And boot it home tonight.

1201
00:58:29.573 --> 00:58:30.839
Woman (on phone): Yeah.

1202
00:58:30.941 --> 00:58:32.774
If you could have anything
from america, what would it be?

1203
00:58:35.212 --> 00:58:36.445
Ok.
Woman (on phone): Yeah.

1204
00:58:36.547 --> 00:58:37.613
Have a good one.
- Bye, sweetie.

1205
00:58:37.715 --> 00:58:38.480
Have a good day.

1206
00:58:38.582 --> 00:58:39.314
[kiss]

1207
00:58:39.416 --> 00:58:40.249
Bye.

1208
00:58:41.485 --> 00:58:43.352
[fog horn]

1209
00:58:48.859 --> 00:58:50.726
These gurkha knives are
actually made to behead people.

1210
00:58:50.828 --> 00:58:53.228
This particular one
was my grandfathers,

1211
00:58:53.330 --> 00:58:55.330
Who fought in world war ii.

1212
00:58:55.399 --> 00:58:57.833
They didn't believe in
taking prisoners of war.

1213
00:58:57.935 --> 00:59:00.669
So they would catch
the nazis, and when

1214
00:59:00.771 --> 00:59:02.571
The nazis would surrender,
they would say, uh-uh.

1215
00:59:04.108 --> 00:59:05.941
As the murder hornet
comes flying by,

1216
00:59:06.043 --> 00:59:08.944
It'll smell the sap from the
tree, and it'll try to go in.

1217
00:59:09.046 --> 00:59:10.712
And when it tries to go
in, it'll accidentally

1218
00:59:10.814 --> 00:59:13.715
Bump the outside of this
sticky stuff with his wings,

1219
00:59:13.817 --> 00:59:15.450
And he'll get captured on there.

1220
00:59:15.553 --> 00:59:18.320
It's poetic justice that
I'm using a beheading tool

1221
00:59:18.422 --> 00:59:20.489
To try to stop the
creatures that are here

1222
00:59:20.591 --> 00:59:23.091
On us soil, beheading bees.

1223
00:59:23.193 --> 00:59:25.561
My grandfather, he's
been dead a long time.

1224
00:59:25.663 --> 00:59:27.696
I'm sure he'd be real proud of
me right now to know that I'm

1225
00:59:27.798 --> 00:59:30.866
Using his gurkha beheading
tool to try to help stop

1226
00:59:30.968 --> 00:59:31.900
This murder hornet problem.

1227
00:59:49.820 --> 00:59:50.586
All right.

1228
00:59:50.688 --> 00:59:51.787
All right.

1229
00:59:51.889 --> 00:59:53.755
I'm going to go put
this in a location

1230
00:59:53.857 --> 00:59:56.058
I think a hornet's
nest might be,

1231
00:59:56.160 --> 00:59:57.826
And then chris is going
to try to find it.

1232
01:00:00.097 --> 01:00:02.831
This technology
is a vhf radio tag

1233
01:00:02.933 --> 01:00:04.499
As opposed to a bluetooth chip.

1234
01:00:04.602 --> 01:00:07.202
In theory, the signal
carries a little further.

1235
01:00:07.304 --> 01:00:10.439
And we should be able to pick it
up again if it for some reason

1236
01:00:10.541 --> 01:00:11.373
Goes out of range.

1237
01:00:41.872 --> 01:00:42.704
Oh, yeah.

1238
01:00:44.908 --> 01:00:46.775
That works pretty well.

1239
01:00:46.877 --> 01:00:50.779
I mean, it just lights up hard
when you get in the right zone.

1240
01:00:50.881 --> 01:00:52.214
He was within two feet of it.

1241
01:00:52.316 --> 01:00:55.784
And I guarantee, if we're
sitting on a hornet's nest,

1242
01:00:55.886 --> 01:00:57.119
Two feet away from
the hornet's nest

1243
01:00:57.221 --> 01:00:58.887
Is going to be close
enough for us to find it.

1244
01:01:04.628 --> 01:01:06.862
Yesterday afternoon,
I heard the noise again,

1245
01:01:06.964 --> 01:01:08.463
The loud buzzing sound.

1246
01:01:08.565 --> 01:01:10.799
He said the sound was
kind of like a hummingbird.

1247
01:01:10.901 --> 01:01:13.535
He was hiding under the eaves
there, and so I walked up,

1248
01:01:13.637 --> 01:01:14.569
I got close.

1249
01:01:14.672 --> 01:01:15.737
And I was watching
him, but I couldn't get

1250
01:01:15.839 --> 01:01:16.805
Him while he was under there.

1251
01:01:16.907 --> 01:01:20.175
So he climbed onto his
roof, which is the worst

1252
01:01:20.277 --> 01:01:21.977
Idea any human can have.

1253
01:01:22.079 --> 01:01:23.879
You don't swing nets
at bugs on roofs.

1254
01:01:23.981 --> 01:01:25.113
That's how you fall off.

1255
01:01:25.215 --> 01:01:27.416
And then he just flew
out and was hovering

1256
01:01:27.518 --> 01:01:28.617
Right there in front of me.

1257
01:01:28.719 --> 01:01:30.786
And when he did, I
just made a swoop,

1258
01:01:30.888 --> 01:01:32.087
And then I rolled
it up like that.

1259
01:01:32.189 --> 01:01:33.455
I saw chris do that.

1260
01:01:33.557 --> 01:01:34.656
And I got it.

1261
01:01:34.758 --> 01:01:38.026
It was like the platonic
ideal of citizen-agency

1262
01:01:38.128 --> 01:01:39.394
Collaboration.

1263
01:01:39.496 --> 01:01:42.497
Well, philip, I'm surprised
that you've done all this stuff.

1264
01:01:42.599 --> 01:01:44.266
I'm surprised I've
done all this stuff.

1265
01:01:44.368 --> 01:01:45.167
Yeah?

1266
01:01:45.269 --> 01:01:46.168
Yeah.

1267
01:01:46.270 --> 01:01:48.103
My weeks don't
usually go like this.

1268
01:01:48.205 --> 01:01:51.006
I'll be all depressed when
it goes back to normal.

1269
01:01:51.108 --> 01:01:52.474
It was super
cool to-- you know,

1270
01:01:52.576 --> 01:01:55.077
I don't want to say bond, but
kind of bond with him that way.

1271
01:02:19.803 --> 01:02:21.570
The receivers
seem to be working.

1272
01:02:24.141 --> 01:02:24.973
What was that?

1273
01:02:27.377 --> 01:02:29.845
That kind of looked
like another hornet.

1274
01:02:29.947 --> 01:02:30.979
Did one just fly by?

1275
01:02:31.081 --> 01:02:32.013
I think it's a good sign.

1276
01:02:42.292 --> 01:02:43.325
Look at that stinger come out.

1277
01:02:43.427 --> 01:02:44.626
Yep, I see it.

1278
01:02:44.728 --> 01:02:45.794
Under there.

1279
01:02:45.896 --> 01:02:46.762
Watch it.
Watch it.

1280
01:02:46.864 --> 01:02:47.696
Watch it.

1281
01:02:52.569 --> 01:02:53.401
Ok, watch out.

1282
01:02:53.504 --> 01:02:54.336
One leg there.

1283
01:02:55.639 --> 01:02:56.471
Oh, yeah.

1284
01:02:58.876 --> 01:02:59.708
You're on.

1285
01:02:59.810 --> 01:03:00.609
Nope.
She's good.

1286
01:03:00.711 --> 01:03:01.543
Yeah.

1287
01:03:02.780 --> 01:03:03.612
Cut them.

1288
01:03:09.319 --> 01:03:10.051
All right.

1289
01:03:10.154 --> 01:03:10.986
Stand back.

1290
01:03:14.591 --> 01:03:17.659
So let's give her some jelly.

1291
01:03:19.997 --> 01:03:20.829
It's what hornets want.

1292
01:03:22.399 --> 01:03:23.431
Looks good.

1293
01:03:23.534 --> 01:03:24.766
Looks like there's nothing
in the way of the wings.

1294
01:03:26.236 --> 01:03:27.936
I like that she's eating now.

1295
01:03:28.038 --> 01:03:29.938
This is very encouraging.

1296
01:03:45.656 --> 01:03:46.521
It's looking good.

1297
01:03:48.492 --> 01:03:49.925
Now she just noticed the tag.

1298
01:03:58.101 --> 01:03:58.967
There it goes.

1299
01:04:04.508 --> 01:04:05.874
She's flying around.

1300
01:04:08.912 --> 01:04:09.878
[inaudible]

1301
01:04:14.952 --> 01:04:16.651
Yeah, I think
it flew this way.

1302
01:04:16.753 --> 01:04:17.519
Which way?

1303
01:04:17.621 --> 01:04:18.453
Into the sun.

1304
01:04:21.425 --> 01:04:22.657
Well, she took
off, didn't she?

1305
01:04:24.328 --> 01:04:25.260
Went home.

1306
01:04:25.362 --> 01:04:27.963
Yeah, let's go
see where home is.

1307
01:04:36.173 --> 01:04:37.038
Getting it just right here.

1308
01:04:42.913 --> 01:04:44.946
I'm not hearing anything now.

1309
01:04:45.048 --> 01:04:46.715
Let's go around and get
in a little bit deeper.

1310
01:04:50.888 --> 01:04:51.620
Nothing.

1311
01:04:51.722 --> 01:04:52.554
Nothing.

1312
01:04:55.325 --> 01:04:56.157
That way?

1313
01:05:00.664 --> 01:05:02.063
Maybe she's underground.

1314
01:05:03.533 --> 01:05:04.266
[radio click]

1315
01:05:04.368 --> 01:05:05.200
I heard that.

1316
01:05:08.272 --> 01:05:09.638
She's in here somewhere.

1317
01:05:11.942 --> 01:05:13.708
There's a chance that it's
actually still just moving.

1318
01:05:15.245 --> 01:05:16.144
Could be just moving.

1319
01:05:18.649 --> 01:05:20.482
[radio clicking]

1320
01:05:29.293 --> 01:05:30.225
That was really loud.

1321
01:05:31.762 --> 01:05:34.596
I wouldn't be shocked if it
was in that little gully there.

1322
01:05:42.506 --> 01:05:44.139
Stay back so I have
a clear path to run.

1323
01:05:51.848 --> 01:05:52.814
This is nuts.

1324
01:05:52.916 --> 01:05:53.882
It's around somewhere.

1325
01:05:53.984 --> 01:05:56.251
It's either a nest
or our tag, but where?

1326
01:05:56.353 --> 01:05:57.452
[dog barking]

1327
01:05:57.554 --> 01:05:59.454
It seems like it's got to
be a tag at this point--

1328
01:05:59.556 --> 01:06:01.823
A dead hornet or the dropped
tag-- because I feel like we

1329
01:06:01.925 --> 01:06:03.058
Would all see hornets, no?

1330
01:06:03.160 --> 01:06:04.960
I feel like it because
you're right on top of it.

1331
01:06:06.463 --> 01:06:07.262
Nothing here.

1332
01:06:07.397 --> 01:06:08.263
Where the hell is she?

1333
01:06:10.000 --> 01:06:10.732
Wait, wait, wait, wait.

1334
01:06:10.834 --> 01:06:11.666
Wait.

1335
01:06:13.003 --> 01:06:14.035
Sorry.

1336
01:06:14.137 --> 01:06:16.004
I just saw a mound of
dirt under a tree there.

1337
01:06:21.211 --> 01:06:22.210
Chris, I hear it.

1338
01:06:27.551 --> 01:06:29.117
I heard it.

1339
01:06:29.219 --> 01:06:30.185
You mean the hornet?

1340
01:06:30.287 --> 01:06:31.219
Loud buzzing.

1341
01:06:31.321 --> 01:06:32.220
Right there.
- There it goes.

1342
01:06:32.322 --> 01:06:33.154
Whoa.

1343
01:06:34.658 --> 01:06:35.857
That was not our hornet, was it?

1344
01:06:35.959 --> 01:06:36.691
I don't think so.

1345
01:06:36.793 --> 01:06:38.193
No.

1346
01:06:38.295 --> 01:06:39.127
Oh.

1347
01:06:40.530 --> 01:06:42.030
Ah, shit.

1348
01:06:42.132 --> 01:06:42.998
I see the hole.

1349
01:06:43.100 --> 01:06:45.133
It's not in the ground.

1350
01:06:45.235 --> 01:06:46.301
Are you kidding?

1351
01:06:46.403 --> 01:06:47.702
It's in a tree.

1352
01:06:47.804 --> 01:06:49.004
It's in the freaking tree?

1353
01:06:49.106 --> 01:06:50.005
Yes.

1354
01:06:50.107 --> 01:06:52.173
Holy crap.

1355
01:06:52.275 --> 01:06:53.742
(singing) we've
got ourselves a nest.

1356
01:06:53.844 --> 01:06:54.776
Oh, oh!

1357
01:06:55.679 --> 01:06:56.878
We've got ourselves a problem.

1358
01:06:58.849 --> 01:07:00.348
How the hell are we
going to kill that?

1359
01:07:06.189 --> 01:07:06.921
That's it.

1360
01:07:07.024 --> 01:07:08.656
That's the nest.

1361
01:07:08.792 --> 01:07:09.591
Oh, thank god.

1362
01:07:11.161 --> 01:07:12.160
Watch yourself, chris.

1363
01:07:24.608 --> 01:07:25.607
I want to talk
to the homeowner

1364
01:07:25.709 --> 01:07:27.375
Then about taking
this tree down.

1365
01:07:27.477 --> 01:07:28.643
Yeah.

1366
01:07:28.745 --> 01:07:30.378
I'm all turned around,
so I don't know if we've

1367
01:07:30.480 --> 01:07:31.579
Talked to you before or not.

1368
01:07:35.185 --> 01:07:35.950
Let's take it.

1369
01:07:36.053 --> 01:07:36.818
Ok.

1370
01:07:36.920 --> 01:07:38.086
Ok.

1371
01:07:38.188 --> 01:07:39.754
I'm a potato farmer, so
I've been gone the last month.

1372
01:07:39.856 --> 01:07:40.622
Oh, yeah?

1373
01:07:40.724 --> 01:07:41.589
Ok.

1374
01:07:42.659 --> 01:07:44.325
You need to [inaudible].

1375
01:07:44.428 --> 01:07:45.593
All right.

1376
01:07:45.695 --> 01:07:46.728
- In theory--
- yeah?

1377
01:07:46.830 --> 01:07:47.996
They can get a
little aggressive

1378
01:07:48.098 --> 01:07:48.863
If you get too close.

1379
01:07:48.965 --> 01:07:49.831
No kidding.

1380
01:07:49.933 --> 01:07:51.032
Holy.

1381
01:07:51.134 --> 01:07:52.567
Do you know, I come
through with my lawn mower

1382
01:07:52.669 --> 01:07:53.935
And never seen them.

1383
01:07:54.037 --> 01:07:57.439
Yes, we're assuming you'll
agree to let us deal with that.

1384
01:07:57.541 --> 01:07:59.374
It'll probably be
Saturday morning.

1385
01:07:59.476 --> 01:08:00.542
To what?
Take that tree down?

1386
01:08:00.644 --> 01:08:01.409
Well--

1387
01:08:01.511 --> 01:08:02.444
Oh, kill them?

1388
01:08:02.546 --> 01:08:03.711
Kill the nest first,
then take the tree down.

1389
01:08:03.814 --> 01:08:04.579
Light it up?

1390
01:08:04.681 --> 01:08:05.513
[laugh]

1391
01:08:06.383 --> 01:08:08.083
So you just come through the
woods, or you just came around?

1392
01:08:08.185 --> 01:08:09.384
We came through the woods.

1393
01:08:09.486 --> 01:08:12.053
Normally, we ask first, but
we had to follow her, so.

1394
01:08:12.155 --> 01:08:13.755
So is this the first
nest you've found?

1395
01:08:13.857 --> 01:08:14.589
Yes.

1396
01:08:14.691 --> 01:08:15.490
The very first one?

1397
01:08:15.592 --> 01:08:16.691
First nest in the us.

1398
01:08:16.793 --> 01:08:17.892
Wow.

1399
01:08:17.994 --> 01:08:19.294
Canadians got one last year.

1400
01:08:19.396 --> 01:08:20.495
Look how big that thing is.

1401
01:08:20.597 --> 01:08:22.297
Yeah, congratulations.

1402
01:08:22.399 --> 01:08:23.865
Let's see if you can buy
some lottery tickets today.

1403
01:08:23.967 --> 01:08:24.799
No kidding.

1404
01:08:26.403 --> 01:08:27.669
I could use a lottery right now.

1405
01:08:33.243 --> 01:08:36.111
Chris looney: You compound the
difficulty of even catching

1406
01:08:36.213 --> 01:08:39.747
These things to begin with with
the complication of catching

1407
01:08:39.850 --> 01:08:43.118
Them alive and then
figuring out a way to follow

1408
01:08:43.220 --> 01:08:44.285
Them back to their nest.

1409
01:08:44.387 --> 01:08:47.155
That's pretty challenging.

1410
01:08:47.257 --> 01:08:49.557
The public service thing
is part of my family.

1411
01:08:49.659 --> 01:08:52.760
I'm the only male in three
generations that wasn't

1412
01:08:52.863 --> 01:08:54.762
Actually in the military.

1413
01:08:54.865 --> 01:08:57.665
I have a brother who is a very
successful major in the army.

1414
01:08:57.767 --> 01:09:00.535
I have a cousin who is a
master chief petty officer.

1415
01:09:00.637 --> 01:09:03.371
That's like the highest rank
you can be in the coast guard.

1416
01:09:03.473 --> 01:09:04.639
I got a lot to live up to.

1417
01:09:04.741 --> 01:09:06.841
But I have massive
issues with authority.

1418
01:09:06.943 --> 01:09:08.943
I would be a crappy soldier.

1419
01:09:09.045 --> 01:09:12.814
Being a public
servant is awesome.

1420
01:09:12.916 --> 01:09:15.884
I love that I work
for every person that

1421
01:09:15.986 --> 01:09:17.352
Can figure out how to call me.

1422
01:09:17.454 --> 01:09:18.753
And because of
that, I don't want

1423
01:09:18.855 --> 01:09:22.190
To be just some slug
sitting in an office

1424
01:09:22.292 --> 01:09:24.125
Somewhere, taking
up public money.

1425
01:09:24.227 --> 01:09:25.460
And one of those
jobs that we have

1426
01:09:25.562 --> 01:09:29.030
Is to try and do our very,
very best to eradicate things

1427
01:09:29.132 --> 01:09:30.765
That we don't want
in north america,

1428
01:09:30.867 --> 01:09:32.200
Specifically washington state.

1429
01:09:32.302 --> 01:09:33.935
And we got one.

1430
01:09:34.037 --> 01:09:35.503
I feel like the
money that everybody

1431
01:09:35.605 --> 01:09:39.207
Paid for me to do my job
was better spent than not.

1432
01:09:39.309 --> 01:09:41.609
Now they can say, "washington
state finds hornets in trees,

1433
01:09:41.711 --> 01:09:43.178
Even though they said
they'd never be in trees,"

1434
01:09:43.280 --> 01:09:44.345
Or something like that.

1435
01:09:44.447 --> 01:09:45.580
Maybe that will be
the negative spin.

1436
01:09:48.418 --> 01:09:51.753
The scientists consider
it, and they determined

1437
01:09:51.855 --> 01:09:54.789
That there are more
negatives than positives

1438
01:09:54.891 --> 01:09:56.057
About them being here.

1439
01:09:56.159 --> 01:09:59.694
And so they decided this
is the best thing to do.

1440
01:09:59.796 --> 01:10:01.462
And I trust them
in that decision.

1441
01:10:01.565 --> 01:10:04.465
But they are beautiful insects
and interesting insects.

1442
01:10:04.568 --> 01:10:06.501
And in some ways,
it maybe wouldn't

1443
01:10:06.603 --> 01:10:10.738
Feel so bad to have an
insect like that around here.

1444
01:10:10.840 --> 01:10:12.373
I feel sad.

1445
01:10:12.475 --> 01:10:14.442
If they didn't
hurt the honeybees,

1446
01:10:14.544 --> 01:10:16.077
What would be wrong with them?

1447
01:10:18.448 --> 01:10:19.180
Yeah, look at that.

1448
01:10:19.282 --> 01:10:20.114
Look at that beast.

1449
01:10:22.052 --> 01:10:24.886
What a evil, little creature.

1450
01:10:24.988 --> 01:10:26.955
What a evil, little creature.

1451
01:10:27.057 --> 01:10:30.725
It just felt really good to know
that the next day, all of them

1452
01:10:30.827 --> 01:10:31.859
Were going to be dead.

1453
01:10:31.962 --> 01:10:33.628
Oh, I would love to
have stomped them.

1454
01:10:33.730 --> 01:10:35.430
The only way that it
would be more justice

1455
01:10:35.532 --> 01:10:37.031
Is if they would
have let me go in,

1456
01:10:37.133 --> 01:10:38.233
Behead all the murder hornets.

1457
01:10:38.335 --> 01:10:39.701
Glue them all down
to something and let

1458
01:10:39.803 --> 01:10:42.470
Me chop their little
heads off or something.

1459
01:10:42.572 --> 01:10:44.038
I just hate them
so much, you know?

1460
01:10:44.140 --> 01:10:47.609
I mean, they already slaughtered
so many of my bees last year.

1461
01:10:47.711 --> 01:10:49.677
So thank god that
this particular colony

1462
01:10:49.779 --> 01:10:51.512
Is going to be wiped
out tomorrow morning.

1463
01:10:51.615 --> 01:10:55.250
This little fella on this leaf
that I'm looking at right now,

1464
01:10:55.352 --> 01:10:57.619
He'll be slaughtered.

1465
01:10:57.721 --> 01:10:59.621
We're going to him right back
to hell where he came from.

1466
01:11:05.061 --> 01:11:07.729
As dangerous as these can
be, and as much as I don't want

1467
01:11:07.831 --> 01:11:10.665
To be stung by them, the
idea of murder hornets

1468
01:11:10.767 --> 01:11:13.534
Is a very hyperbolic nickname.

1469
01:11:13.637 --> 01:11:17.071
The concept of murdering things
exists in an ethical sphere,

1470
01:11:17.173 --> 01:11:18.406
Right?

1471
01:11:18.508 --> 01:11:20.775
And that only makes sense
for humans when we're talking

1472
01:11:20.877 --> 01:11:22.644
About what our morals are.

1473
01:11:24.147 --> 01:11:27.615
Ascribing our own ethics to the
actions of other species, let

1474
01:11:27.717 --> 01:11:29.884
Alone insects, which are so
different than vertebrates

1475
01:11:29.986 --> 01:11:33.221
That they're essentially an
alien life form, is nonsense.

1476
01:11:37.594 --> 01:11:38.626
Still dangerous.

1477
01:11:38.728 --> 01:11:40.995
Maybe dangerous hornets,
but not murder hornets.

1478
01:14:14.217 --> 01:14:15.783
News today from
washington state.

1479
01:14:15.885 --> 01:14:18.019
It came in a statement
of two words--

1480
01:14:18.121 --> 01:14:19.020
"got them."

1481
01:14:19.122 --> 01:14:20.588
Today, federal
agriculture authorities

1482
01:14:20.690 --> 01:14:23.357
Destroyed a murder hornet
nest, the first ever

1483
01:14:23.460 --> 01:14:24.759
Found in the united states.

1484
01:14:24.861 --> 01:14:26.694
Reporter: This morning,
finally, a major breakthrough

1485
01:14:26.796 --> 01:14:28.329
For washington state
researchers who

1486
01:14:28.431 --> 01:14:29.964
Have found where some
of the elusive hornets

1487
01:14:30.066 --> 01:14:31.232
Have been hiding.

1488
01:14:31.334 --> 01:14:33.334
Reporter: The first known
nest of its kind in the us,

1489
01:14:33.436 --> 01:14:36.237
Discovered inside a
tree north of seattle.

1490
01:14:36.339 --> 01:14:39.140
Many times, people say
that working with government

1491
01:14:39.242 --> 01:14:41.809
Agencies is a waste of time.

1492
01:14:41.911 --> 01:14:43.678
And I have to
disagree with that.

1493
01:14:43.780 --> 01:14:46.180
Working with washington state
department of agriculture

1494
01:14:46.282 --> 01:14:47.815
Has been fabulous.

1495
01:14:47.917 --> 01:14:52.220
We have that synergy that occurs
when you get a lot of people,

1496
01:14:52.322 --> 01:14:55.890
Kind of like the beehives,
working on a common goal.

1497
01:14:55.992 --> 01:14:59.827
I can imagine when all those
thousands of people that have

1498
01:14:59.929 --> 01:15:03.431
Put up traps heard
that they found a nest,

1499
01:15:03.533 --> 01:15:06.734
There was a collective yay.

1500
01:15:06.836 --> 01:15:08.469
We are not in the clear yet.

1501
01:15:08.571 --> 01:15:10.371
Entomologists saying there
is still a very good chance

1502
01:15:10.473 --> 01:15:11.772
There could be more nests.

1503
01:15:11.875 --> 01:15:14.175
Beekeepers hoping
that's not the case.

1504
01:15:14.277 --> 01:15:18.746
The asian giant hornet
is here because of humans

1505
01:15:18.848 --> 01:15:20.515
And the choices humans make.

1506
01:15:22.051 --> 01:15:23.518
Everything is connected.

1507
01:15:23.620 --> 01:15:26.387
If we tip the
balance one way, it's

1508
01:15:26.489 --> 01:15:27.989
Going to have an
impact on something

1509
01:15:28.091 --> 01:15:30.458
That we might not even
have thought about.

1510
01:15:30.560 --> 01:15:33.427
Reporter: Left unchecked, murder
hornets can potentially wipe

1511
01:15:33.530 --> 01:15:35.229
Out honeybees in north america.

1512
01:15:35.331 --> 01:15:36.898
It's very serious.

1513
01:15:37.000 --> 01:15:38.799
But score one for
the scientists.

1514
01:15:38.902 --> 01:15:42.637
When we work together,
when we have good science,

1515
01:15:42.739 --> 01:15:44.605
And if we get enough
people engaged,

1516
01:15:44.707 --> 01:15:48.009
Then I absolutely believe
that we have a chance

1517
01:15:48.111 --> 01:15:49.443
To eradicate this hornet.

1518
01:15:49.546 --> 01:15:51.913
I've seen so much
stuff in my life

1519
01:15:52.015 --> 01:15:54.048
That people say I can't do.

1520
01:15:54.150 --> 01:15:55.483
It's like, no.

1521
01:15:55.585 --> 01:15:59.020
I reject that and
say yes, we can.

1522
01:15:59.122 --> 01:16:00.187
Of course, we can.

1523
01:16:01.758 --> 01:16:04.892
So now let's find
the second one.

1524
01:16:15.371 --> 01:16:17.204
We didn't eradicate
the nest the day

1525
01:16:17.307 --> 01:16:18.406
We vacuumed it up, right?

1526
01:16:18.508 --> 01:16:20.942
All we did was catch a lot
of insects and seal it.

1527
01:16:21.044 --> 01:16:23.144
And so what's going on in
that nest is still a mystery.

1528
01:16:24.480 --> 01:16:25.713
Oh, I want that one.

1529
01:16:25.815 --> 01:16:27.014
Yeah.

1530
01:16:27.116 --> 01:16:28.249
I know.

1531
01:16:28.351 --> 01:16:30.952
Yeah, it looks like
the queen, or a queen.

1532
01:16:31.054 --> 01:16:32.186
Yeah.

1533
01:16:32.288 --> 01:16:33.220
That's her.

1534
01:16:33.323 --> 01:16:35.156
So we cut the
tree down, carved it

1535
01:16:35.258 --> 01:16:38.526
Into a movable
section, and hauled it

1536
01:16:38.628 --> 01:16:40.061
Off to a laboratory to look at.

1537
01:16:42.765 --> 01:16:44.432
We ended up doing it at
washington state university

1538
01:16:44.534 --> 01:16:46.033
Because they had a
big cold room that we

1539
01:16:46.135 --> 01:16:48.035
Could be in that would
keep them chilled

1540
01:16:48.137 --> 01:16:49.737
While we were working on it.

1541
01:16:49.839 --> 01:16:51.405
I looked out of
my kitchen window,

1542
01:16:51.507 --> 01:16:53.341
And I thought to myself,
wow, this looks like somebody

1543
01:16:53.443 --> 01:16:55.009
Got murdered in our backyard.

1544
01:16:55.111 --> 01:16:57.612
There was tons of
people with red lights,

1545
01:16:57.714 --> 01:17:00.114
And they were
documenting everything.

1546
01:17:00.216 --> 01:17:03.117
And then the news started
getting out that the first nest

1547
01:17:03.219 --> 01:17:04.619
Was in our backyard.

1548
01:17:04.721 --> 01:17:07.922
There's national news on
this, not even just in the us,

1549
01:17:08.024 --> 01:17:09.323
Everywhere.

1550
01:17:09.425 --> 01:17:12.293
Sven was in charge of the tree
part, and I told him, I'm like,

1551
01:17:12.395 --> 01:17:14.061
Ok, we're going to
take this tree down.

1552
01:17:14.163 --> 01:17:15.429
Then what are we going to do?

1553
01:17:15.531 --> 01:17:16.263
They were here.

1554
01:17:16.366 --> 01:17:17.665
They got what they want.

1555
01:17:17.767 --> 01:17:19.634
And then here I am,
stuck with the mess.

1556
01:17:19.736 --> 01:17:21.135
What do I get for this?

1557
01:17:21.237 --> 01:17:22.703
It's not the fact that
there's a nest in it.

1558
01:17:22.805 --> 01:17:24.839
It's just my property, you know.

1559
01:17:24.907 --> 01:17:27.608
I paid taxes on that
property, so we want it back.

1560
01:17:27.710 --> 01:17:30.077
I told them I wanted
every specimen,

1561
01:17:30.179 --> 01:17:33.147
Every larva, everything back.

1562
01:17:33.249 --> 01:17:35.116
The same murder
hornet chaos that

1563
01:17:35.218 --> 01:17:37.184
Has made people
really engaged also

1564
01:17:37.286 --> 01:17:38.986
Makes them kind of want them.

1565
01:17:39.088 --> 01:17:42.723
Because this species is
an introduced species,

1566
01:17:42.825 --> 01:17:45.493
It is not governed by washington
state fish and wildlife laws

1567
01:17:45.595 --> 01:17:46.594
Explicitly.

1568
01:17:46.696 --> 01:17:47.995
There's kind of this
gray empty area.

1569
01:17:48.097 --> 01:17:51.132
And so the landowner just
said, I want this nest back.

1570
01:17:51.234 --> 01:17:52.867
He says, nothing gets
released unless it's

1571
01:17:52.969 --> 01:17:54.435
Approved by me in writing, so.

1572
01:17:58.207 --> 01:17:59.373
I guess I had
thought we would open

1573
01:17:59.475 --> 01:18:01.642
It exactly on the other
side, but that's pretty deep.

1574
01:18:01.744 --> 01:18:04.345
I don't think anything is
coming out in this temperature.

1575
01:18:04.447 --> 01:18:05.312
I'm going to roll it.

1576
01:18:07.884 --> 01:18:08.783
There's quite a few in there.

1577
01:18:10.887 --> 01:18:11.886
Do you want to gas it?

1578
01:18:11.988 --> 01:18:12.820
Yeah.

1579
01:18:16.059 --> 01:18:17.925
That ought to slow them down.

1580
01:18:28.871 --> 01:18:29.970
Split that tree open.

1581
01:18:31.941 --> 01:18:32.740
Oh, there's quite a few.

1582
01:18:32.842 --> 01:18:33.574
Yeah.

1583
01:18:33.676 --> 01:18:34.508
Stay back.

1584
01:18:34.610 --> 01:18:35.643
Keep your eyes open.

1585
01:18:35.745 --> 01:18:37.111
[inaudible] found all
of these living wasps.

1586
01:18:37.213 --> 01:18:39.013
They're crawling around.

1587
01:18:39.115 --> 01:18:41.382
All right, let's pick
those suckers off.

1588
01:18:41.484 --> 01:18:42.683
How fast can you guys run?

1589
01:18:45.054 --> 01:18:46.253
Oh, she's a big one.

1590
01:18:46.355 --> 01:18:48.889
We opened it up, and there
was a nest six combs deep.

1591
01:18:48.991 --> 01:18:50.558
Quite a few
hatched out, I think.

1592
01:18:50.660 --> 01:18:52.493
Yeah, this was an
interesting one here.

1593
01:18:52.595 --> 01:18:55.696
It looks like they started
cannibalizing their own.

1594
01:18:55.798 --> 01:18:56.931
Lunch.

1595
01:18:57.033 --> 01:18:58.132
[laughter]

1596
01:18:58.234 --> 01:19:01.001
There were still
almost 200 larvae in it.

1597
01:19:01.104 --> 01:19:03.804
76 living queens.

1598
01:19:03.906 --> 01:19:06.407
One of them, presumably,
was the foundress.

1599
01:19:06.509 --> 01:19:08.976
The other ones were all the
new queens that were emerging.

1600
01:19:09.078 --> 01:19:13.013
I think we got that nest,
frankly, right before they all

1601
01:19:13.116 --> 01:19:13.848
Would have left.

1602
01:19:13.950 --> 01:19:14.882
That's our tag.

1603
01:19:14.984 --> 01:19:16.684
That's our tracking tag.

1604
01:19:16.786 --> 01:19:20.254
There is no doubt that had
we not destroyed this nest,

1605
01:19:20.356 --> 01:19:23.724
Each of those queens could
be a new nest next year.

1606
01:19:23.826 --> 01:19:25.025
We didn't get
the whole species.

1607
01:19:25.128 --> 01:19:28.662
It's one triumph on a very
long road to winning this race

1608
01:19:28.765 --> 01:19:31.532
To eradicate things that we
don't want in north america,

1609
01:19:31.634 --> 01:19:33.267
Specifically washington state.

1610
01:19:33.369 --> 01:19:34.401
Agriculture, this is chris.

1611
01:19:36.038 --> 01:19:36.871
How's it going, man?

1612
01:19:40.042 --> 01:19:41.008
We're all right.

1613
01:19:41.110 --> 01:19:43.344
We opened up that
nest, and actually, I

1614
01:19:43.446 --> 01:19:45.546
Was going to call you because
I have a proposal for you,

1615
01:19:45.648 --> 01:19:47.281
And that would be a lot
more specimens for you

1616
01:19:47.383 --> 01:19:48.682
If you're interested.

1617
01:19:48.785 --> 01:19:51.652
But I would ask, in return, if
we can maybe take six of them

1618
01:19:51.754 --> 01:19:53.854
And get them to some of
these pheromone researchers.

1619
01:19:53.956 --> 01:19:56.657
The ability to get a fresh
queen is really unprecedented.

1620
01:19:56.759 --> 01:19:58.993
I don't think we'd have that
opportunity another time.

1621
01:19:59.095 --> 01:20:01.295
There's essentially 100
queens in there by now.

1622
01:20:01.397 --> 01:20:03.831
I talked him into
giving up eight queens.

1623
01:20:13.276 --> 01:20:14.608
It was very unexpected.

1624
01:20:14.710 --> 01:20:16.143
Never would have
anticipated that.

1625
01:20:16.245 --> 01:20:20.214
It was 100% a slap in the face
finding out that I suddenly had

1626
01:20:20.316 --> 01:20:22.950
To beg for access to this nest.

1627
01:20:23.052 --> 01:20:25.019
American taxpayers
had spent, basically,

1628
01:20:25.121 --> 01:20:27.254
At this point, a half a
million bucks to track

1629
01:20:27.356 --> 01:20:29.323
A nest down and capture it.

1630
01:20:29.425 --> 01:20:32.426
And then suddenly, we had
this unanticipated barrier.

1631
01:20:32.528 --> 01:20:34.261
And this is a big dog.

1632
01:20:34.363 --> 01:20:37.264
People sell them all over the
internet, I'm finding out,

1633
01:20:37.366 --> 01:20:39.400
30 to 50 bucks apiece.

1634
01:20:39.502 --> 01:20:41.501
I should have over
a hundred of them,

1635
01:20:41.571 --> 01:20:43.370
And I plan to sell them on ebay.

1636
01:20:44.874 --> 01:20:46.106
Chris looney: If
you've got a hundred

1637
01:20:46.209 --> 01:20:47.842
Things you can sell
for 40 bucks a pop,

1638
01:20:47.944 --> 01:20:49.510
That's a big chunk of money.

1639
01:20:49.645 --> 01:20:52.046
It's hard for me to say
that's the wrong thing

1640
01:20:52.148 --> 01:20:55.149
For you to do without just being
moralizing and grandstanding.

1641
01:20:55.251 --> 01:20:58.085
Nothing's really too
significant about these to me.

1642
01:20:58.187 --> 01:21:00.054
They're just another bee.

1643
01:21:00.156 --> 01:21:02.990
It's just one of
those things that it

1644
01:21:03.092 --> 01:21:06.093
Would be a good wall art, I
guess, in the house, you know?

1645
01:21:06.195 --> 01:21:08.329
Get it mounted or something.

1646
01:21:08.431 --> 01:21:09.763
I was going to
make him a display

1647
01:21:09.866 --> 01:21:13.434
Case with the comb and all
the specimens and stuff.

1648
01:21:13.536 --> 01:21:14.368
And I'm like, well, [bleep] it.

1649
01:21:14.470 --> 01:21:15.269
Here's your frozen nest.

1650
01:21:15.371 --> 01:21:16.103
Right?

1651
01:21:16.205 --> 01:21:17.171
I'm not going to do that now.

1652
01:21:17.273 --> 01:21:18.706
On 3.

1653
01:21:18.808 --> 01:21:20.741
It was a blow to science.

1654
01:21:20.843 --> 01:21:22.610
It was a blow to
american history

1655
01:21:22.712 --> 01:21:23.978
Is actually what I see it as.

1656
01:21:24.080 --> 01:21:27.348
I still think this should be
preserved in the smithsonian.

1657
01:21:27.450 --> 01:21:28.382
All right.

1658
01:21:28.484 --> 01:21:29.783
Well, everybody
have a good weekend.

1659
01:21:29.886 --> 01:21:31.218
Drive safely, sven.

1660
01:21:31.320 --> 01:21:32.620
See you later.

1661
01:21:39.996 --> 01:21:42.329
(singing) happy
birthday to dada.

1662
01:21:42.431 --> 01:21:45.332
Happy birthday to you.

1663
01:21:45.434 --> 01:21:46.267
Thank you.

1664
01:21:47.670 --> 01:21:50.571
I'm going to blow it
out covid-19-friendly.

1665
01:21:50.673 --> 01:21:52.740
4, 1.

1666
01:21:52.842 --> 01:21:53.607
That's it.

1667
01:21:53.709 --> 01:21:54.575
Yay.

1668
01:21:55.611 --> 01:21:56.944
I'm not sure about
the wine with the cake.

1669
01:21:57.046 --> 01:21:58.879
I think maybe I should've gone
with the milk with the cake.

1670
01:22:02.852 --> 01:22:03.918
Oh.

1671
01:22:04.020 --> 01:22:05.486
It's a bug zapper.

1672
01:22:05.588 --> 01:22:07.688
I didn't see that one coming.

1673
01:22:07.790 --> 01:22:10.758
Whenever I'm drinking
our fine honey wine,

1674
01:22:10.860 --> 01:22:13.460
I like it whenever she plays the
piano, because I feel refined.

1675
01:22:13.562 --> 01:22:14.328
I feel like I'm--

1676
01:22:14.430 --> 01:22:15.262
Elegant?

1677
01:22:15.364 --> 01:22:17.097
--Upper crust
kind of a person.

1678
01:22:17.199 --> 01:22:18.065
Play a song for us, kat.

1679
01:22:19.568 --> 01:22:21.235
Hey, come on, we're paying
for these piano lessons.

1680
01:22:21.337 --> 01:22:23.003
We've got to take
advantage of these.

1681
01:22:23.105 --> 01:22:26.640
Can you play the
theme song for 2020?

1682
01:22:26.742 --> 01:22:27.975
I think you know what
I'm talking about.

1683
01:22:29.979 --> 01:22:32.713
[plays "the exorcist" theme]

1684
01:22:34.250 --> 01:22:36.517
[laughter]

1685
01:22:36.619 --> 01:22:39.987
"2020-- pandemic."

1686
01:22:40.089 --> 01:22:44.491
"2020-- murder hornets."

1687
01:22:44.593 --> 01:22:45.859
For us to think that
there's not more

1688
01:22:45.962 --> 01:22:48.529
Murder hornets in this area
would be totally naive.

1689
01:22:48.631 --> 01:22:51.632
We successfully got rid of
a nest, which is a big win.

1690
01:22:51.734 --> 01:22:53.167
But we're going to war.

1691
01:22:53.269 --> 01:22:54.668
And actually, I'm going
to ask the department

1692
01:22:54.770 --> 01:22:56.971
Of agriculture, hey,
do you need a master

1693
01:22:57.073 --> 01:22:58.605
Beekeeper on your team?

1694
01:22:58.708 --> 01:23:01.208
I'm convinced that
real heroes are just

1695
01:23:01.310 --> 01:23:03.711
Regular people that try
to do the right thing

1696
01:23:03.813 --> 01:23:05.346
And accidentally become heroes.

1697
01:23:12.421 --> 01:23:13.420
Jeff kornelis
(voiceover): When I

1698
01:23:13.522 --> 01:23:16.290
Think about this hornet
coming to my porch,

1699
01:23:16.392 --> 01:23:17.691
I often wonder why.

1700
01:23:17.793 --> 01:23:18.993
Why me?

1701
01:23:19.095 --> 01:23:21.895
I think these things
happen for a reason.

1702
01:23:21.998 --> 01:23:26.233
Nature is more intelligent
than we give it credit for.

1703
01:23:26.335 --> 01:23:30.604
It might seem hard to
believe, or kind of woo woo,

1704
01:23:30.706 --> 01:23:35.309
But I think this hornet
ended up on my porch

1705
01:23:35.411 --> 01:23:37.578
Because I would know
what to do with it.

1706
01:23:39.015 --> 01:23:41.181
It was guided by
its intelligence

1707
01:23:41.283 --> 01:23:43.517
To its final resting place.

1708
01:23:45.488 --> 01:23:49.056
Nature can bring us
messages, whether or not

1709
01:23:49.158 --> 01:23:50.691
We're ready to hear it.

1710
01:23:50.793 --> 01:23:54.795
And I think these hornets are
giving us a reminder that we

1711
01:23:54.897 --> 01:23:57.498
Need to be stewards
for our environment

1712
01:23:57.600 --> 01:24:00.300
And do what we can
to take care of it.

1713
01:24:02.605 --> 01:24:05.039
I see a lot of beauty
in these hornets.

1714
01:24:05.141 --> 01:24:09.443
And I see that they
do belong somewhere.

1715
01:24:12.782 --> 01:24:14.848
They just don't belong here.

1716
01:24:14.950 --> 01:24:23.457
[music - guided by voices, "I am
a scientist"]

1717
01:24:23.559 --> 01:24:25.325
♪ I am a scientist-- ♪

1718
01:24:25.428 --> 01:24:29.897
♪ I seek to understand me, all
of my impurities and evils ♪

1719
01:24:29.999 --> 01:24:31.265
♪ yet unknown. ♪

1720
01:24:31.367 --> 01:24:33.400
♪ I am a journalist-- ♪

1721
01:24:33.502 --> 01:24:37.604
♪ I write to you to show
you I am an incurable, ♪

1722
01:24:37.706 --> 01:24:40.340
♪ and nothing else
behaves like me. ♪

1723
01:24:45.514 --> 01:24:51.585
♪ and I know what's right,
but I'm losing sight ♪

1724
01:24:51.687 --> 01:24:56.256
♪ of the clues for which
I search and choose, ♪

1725
01:24:56.358 --> 01:24:59.726
♪ to abuse, to just
unlock my mind, ♪

1726
01:24:59.829 --> 01:25:03.230
♪ yeah, just unlock my mind. ♪

1727
01:25:10.806 --> 01:25:15.175
♪ I am a pharmacist--
prescriptions I will fill you. ♪

1728
01:25:15.277 --> 01:25:18.679
♪ potions, pills, and medicines
to ease your painful lives. ♪

1729
01:25:18.781 --> 01:25:21.648
♪ I am a lost soul-- ♪

1730
01:25:21.750 --> 01:25:23.150
♪ I shoot myself
with rock and roll. ♪

1731
01:25:23.252 --> 01:25:25.385
♪ the hole I dig is
bottomless, but ♪

1732
01:25:25.488 --> 01:25:27.121
♪ nothing else
can set me free. ♪

1733
01:25:32.728 --> 01:25:37.598
♪ and I know what's right,
but I'm losing sight ♪

1734
01:25:37.700 --> 01:25:43.036
♪ of the clues for which
I search and choose, ♪

1735
01:25:43.139 --> 01:25:47.007
♪ to abuse, to just
unlock my mind, ♪

1736
01:25:47.109 --> 01:25:50.010
♪ yeah, just unlock my mind. ♪

1737
01:25:58.120 --> 01:25:59.786
♪ I am a scientist-- ♪

1738
01:25:59.889 --> 01:26:02.055
♪ I seek to understand me. ♪

1739
01:26:02.158 --> 01:26:07.127
♪ I am an incurable, and
nothing else behaves like me. ♪

1740
01:26:07.229 --> 01:26:08.328
♪ everything is right. ♪

1741
01:26:10.833 --> 01:26:13.700
♪ everything works out right. ♪

1742
01:26:15.304 --> 01:26:18.805
♪ everything fades from
sight because that's ♪

1743
01:26:18.908 --> 01:26:21.241
♪ all right with me. ♪