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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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00:00:47,515 --> 00:00:51,917
However, something in god's plan
is not correct in this matter.
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00:00:54,455 --> 00:00:56,522
Whenever we find them,
we have to kill them.
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00:00:56,624 --> 00:01:01,460
We cannot tolerate or risk
having more of them around.
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00:01:01,562 --> 00:01:03,362
This creature must
be eradicated.
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00:01:03,464 --> 00:01:07,199
If we fail at this,
and it spreads,
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00:01:07,301 --> 00:01:11,136
Then you can expect catastrophic
problems with the honeybees.
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00:01:18,679 --> 00:01:21,046
[music playing]
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00:02:26,247 --> 00:02:28,413
One of my favorite screen movies
is the movie "the exorcist."
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00:02:29,683 --> 00:02:30,816
If you watch that
movie, you'll hear
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00:02:30,918 --> 00:02:33,218
The bees buzzing at the
very beginning of the movie.
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00:02:33,320 --> 00:02:36,889
And it's supposed to be a scary,
intimidating kind of a noise.
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00:02:36,991 --> 00:02:41,593
But whenever I hear that sound,
I think of something very nice
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00:02:41,695 --> 00:02:43,595
And something very pleasant.
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As a little boy, I
didn't really understand
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00:02:46,100 --> 00:02:47,566
The importance of honeybees.
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00:02:47,668 --> 00:02:50,435
I just knew that my family
needed the honeybees.
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00:02:50,538 --> 00:02:51,837
And my dad did
everything he could
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00:02:51,939 --> 00:02:53,172
To take care of honeybees.
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00:02:53,274 --> 00:02:56,975
And in elementary school, there
was a big field of clover.
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00:02:57,077 --> 00:02:58,710
And there were always
bees pollinating
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00:02:58,812 --> 00:02:59,778
That big field of clover.
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00:03:01,682 --> 00:03:04,550
And some of the other kids would
run around that clover field,
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00:03:04,652 --> 00:03:07,719
And stomp on the bees,
and kill the honeybees.
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00:03:07,821 --> 00:03:10,656
I remember thinking, I wonder
if that's my family's bees.
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00:03:10,758 --> 00:03:14,793
I wonder if those are the
bees that make us honey.
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00:03:14,895 --> 00:03:17,796
Because even then, I had a
certain connection to the hives
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00:03:17,898 --> 00:03:20,599
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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00:03:31,212 --> 00:03:32,411
Going on with their hives.
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00:03:32,513 --> 00:03:34,046
Because you never know if a
tree is going to fall on a hive,
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00:03:34,148 --> 00:03:36,148
Or if a lightning
bolt's going to hit it,
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00:03:36,250 --> 00:03:38,483
Or some vandal's going
to get to the hive.
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00:03:38,586 --> 00:03:41,386
And I just went to go
do a regular inspection
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00:03:41,488 --> 00:03:42,921
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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00:03:52,900 --> 00:03:56,301
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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00:04:01,809 --> 00:04:05,010
I opened the hive, that I would
find the queen still alive.
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00:04:05,112 --> 00:04:08,313
But as soon as I open up
that lid, and I peered in,
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00:04:08,415 --> 00:04:09,982
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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00:04:14,488 --> 00:04:17,289
It's kind of like finding
a family pet, or maybe even
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00:04:17,391 --> 00:04:20,726
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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00:04:25,733 --> 00:04:28,200
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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00:04:39,046 --> 00:04:40,412
If someone dies--
oh, what happened?
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00:04:40,514 --> 00:04:42,848
Or if someone breaks
an arm-- what happened?
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00:04:42,950 --> 00:04:44,016
Well, that's exactly
what she said.
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What happened?
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00:04:45,219 --> 00:04:47,286
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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00:04:53,727 --> 00:04:55,093
Her jaw was dropped.
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00:04:55,195 --> 00:04:56,028
And I'll never forget.
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00:04:56,130 --> 00:04:57,429
She took her hand,
and she kind of
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00:04:57,531 --> 00:05:00,165
Raked it through the bee bodies,
just looking at it, real quiet.
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00:05:03,103 --> 00:05:07,606
And actually, I shouldn't get
choked up about silly bees.
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00:05:07,708 --> 00:05:09,574
Well, I guess to us, it's
not silly bees, right?
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00:05:11,211 --> 00:05:12,944
Hang on a second.
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00:05:13,047 --> 00:05:14,346
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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00:05:21,422 --> 00:05:23,488
You could easily do
it around our bees.
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00:05:23,590 --> 00:05:24,823
And it's a murder scene.
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00:05:26,160 --> 00:05:27,459
I had a lot of
theories in my mind.
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00:05:27,561 --> 00:05:30,629
I thought maybe someone
came in, and gassed my bees,
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00:05:30,731 --> 00:05:34,466
And then decided to cut their
heads off, some satanic cult.
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00:05:34,568 --> 00:05:35,867
At that point, who knows?
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00:05:35,936 --> 00:05:38,070
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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00:05:47,348 --> 00:05:49,748
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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00:06:07,801 --> 00:06:08,633
Come on.
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00:06:10,637 --> 00:06:11,503
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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00:06:51,845 --> 00:06:55,147
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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00:07:00,687 --> 00:07:01,853
Invasive species council.
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00:07:03,557 --> 00:07:05,157
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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00:07:25,446 --> 00:07:29,214
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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00:07:46,733 --> 00:07:50,068
Regarding its behaviors,
if it has any weaknesses.
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00:07:50,170 --> 00:07:51,369
Turns out, it really doesn't.
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It's an apex predator, and
nothing really bothers it.
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00:07:54,508 --> 00:07:57,642
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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00:08:00,481 --> 00:08:02,113
Would be for our agriculture.
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00:08:02,216 --> 00:08:05,350
And we sent out pest alerts
on asian giant hornet
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00:08:05,452 --> 00:08:09,187
To everyone who keeps
bees in washington.
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00:08:09,289 --> 00:08:12,491
And that's when the mcfall bee
kill came to our attention too.
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00:08:12,593 --> 00:08:14,559
What happened to ted
mcfall is what we
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00:08:14,661 --> 00:08:16,428
Worry about for all beekeepers.
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00:08:16,530 --> 00:08:20,432
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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00:08:32,112 --> 00:08:33,879
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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00:09:02,109 --> 00:09:05,343
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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00:09:18,225 --> 00:09:20,225
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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00:09:31,738 --> 00:09:34,072
Here's someone that lost
a whole colony of bees.
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00:09:34,174 --> 00:09:36,308
And there was a bit of a
mystery to the whole thing.
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00:09:36,410 --> 00:09:38,410
And then as I was
reporting this story,
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00:09:38,512 --> 00:09:40,512
I kept coming across
these various nicknames,
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A whole bunch of nicknames.
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00:09:41,615 --> 00:09:43,348
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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00:09:50,824 --> 00:09:52,557
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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00:09:57,931 --> 00:10:00,031
This yak killer name came from?
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00:10:00,133 --> 00:10:01,566
And he came back with,
actually, I haven't even
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00:10:01,668 --> 00:10:02,834
Heard that nickname.
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00:10:02,936 --> 00:10:04,970
Around here, they just
call it the murder hornet.
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00:10:05,072 --> 00:10:09,541
Ok, well, that's-- I guess we
can just go with that nickname.
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00:10:09,643 --> 00:10:10,809
Reporter: "the new
york times" reports
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00:10:10,911 --> 00:10:13,044
Deadly hornets in
parts of the us,
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00:10:13,146 --> 00:10:14,879
And they're called
murder hornets.
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00:10:14,982 --> 00:10:17,449
As if we needed more to
worry about than the threat
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00:10:17,551 --> 00:10:19,951
Of the deadly disease that
has gripped the world,
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00:10:20,053 --> 00:10:22,587
Now there is more fodder
for people's nightmares.
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00:10:22,656 --> 00:10:24,856
Reporter: It looks like
something out of a horror film,
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00:10:24,958 --> 00:10:26,257
With a name to match--
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00:10:26,360 --> 00:10:27,258
The murder hornet.
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00:10:27,361 --> 00:10:28,627
It comes straight
out of hollywood
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00:10:28,729 --> 00:10:31,396
In terms of what you think an
evil alien might look like.
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00:10:31,498 --> 00:10:34,566
They are, in fact, the largest
species of wasp on the planet.
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00:10:34,668 --> 00:10:37,702
And its sting is strong
enough to kill a human.
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00:10:37,804 --> 00:10:40,805
Reporter: Some describe the
sting as feeling like hot metal
197
00:10:40,907 --> 00:10:42,107
Inside their skin.
198
00:10:42,209 --> 00:10:43,541
Their jaw can
actually take a chunk
199
00:10:43,644 --> 00:10:44,876
Of flesh out of the human body.
200
00:10:44,978 --> 00:10:46,711
Reporter: They can
kill people and wipe
201
00:10:46,813 --> 00:10:48,780
Out entire honeybee colonies.
202
00:10:48,882 --> 00:10:52,851
Reporter: 60,000 honeybees
torn apart in a savage attack.
203
00:10:52,953 --> 00:10:55,420
There were dead bees all
over the front of the hive,
204
00:10:55,522 --> 00:10:56,488
All over the bottom board.
205
00:10:56,590 --> 00:10:58,156
And they all had
been chopped to bits.
206
00:10:58,258 --> 00:10:59,491
Reporter: They rip
their heads off
207
00:10:59,593 --> 00:11:01,259
And take the thorax for food.
208
00:11:01,361 --> 00:11:04,329
I know nature is violent,
but that's like horror movie
209
00:11:04,431 --> 00:11:05,530
Violent.
210
00:11:05,632 --> 00:11:07,666
The pollination that
honeybees do for our food
211
00:11:07,768 --> 00:11:09,534
Supply cannot be understated.
212
00:11:09,636 --> 00:11:11,836
Reporter: Washington state
entomologist chris looney
213
00:11:11,938 --> 00:11:13,571
Says the clock is ticking.
214
00:11:13,674 --> 00:11:16,608
The goal is to eradicate
it now while the population
215
00:11:16,710 --> 00:11:18,009
Is presumably small.
216
00:11:18,111 --> 00:11:20,712
It's a bit of a race for us to
find them, and find their nest,
217
00:11:20,814 --> 00:11:23,682
And destroy them before
they destroy our honeybees.
218
00:11:23,784 --> 00:11:25,784
If this were to
become well-established
219
00:11:25,886 --> 00:11:28,920
And then start spreading, it
could be pretty catastrophic.
220
00:11:29,022 --> 00:11:30,055
Reporter: If he
and his colleagues
221
00:11:30,157 --> 00:11:32,290
Can't wipe out the
invaders this summer,
222
00:11:32,392 --> 00:11:33,892
They're likely to
multiply and spread
223
00:11:33,994 --> 00:11:35,694
Across the country
with potentially
224
00:11:35,796 --> 00:11:36,961
Disastrous consequences.
225
00:11:37,064 --> 00:11:39,064
Reporter: The big concern
that these hornets
226
00:11:39,166 --> 00:11:41,666
Could wipe out the population,
which is already under siege--
227
00:11:41,768 --> 00:11:43,668
Reporter: --Because they kill
massive amounts of honeybees--
228
00:11:43,770 --> 00:11:45,570
[interposing voices]
229
00:11:50,310 --> 00:11:53,278
Albert einstein said
that if bees get wiped out,
230
00:11:53,380 --> 00:11:55,847
Then humanity will be wiped
out four years after that.
231
00:11:55,949 --> 00:11:58,883
And I'm glad that albert
einstein understood very
232
00:11:58,985 --> 00:12:02,721
Clearly the bee's
role in pollination,
233
00:12:02,823 --> 00:12:05,890
Because that pollen is
really the dust of life.
234
00:12:05,992 --> 00:12:08,793
Early on, before this
whole asian giant hornet
235
00:12:08,895 --> 00:12:11,663
Problem hit the media,
sven showed up to one
236
00:12:11,765 --> 00:12:12,897
Of our bee club meetings.
237
00:12:12,999 --> 00:12:14,632
This was shortly before
the whole pandemic started.
238
00:12:14,735 --> 00:12:16,434
We're looking at each other,
saying, hey, what are we
239
00:12:16,536 --> 00:12:17,802
Going to do about this problem?
240
00:12:17,904 --> 00:12:20,371
Because if this thing gets out
and starts slaughtering more
241
00:12:20,474 --> 00:12:23,274
Colonies, then everyone's
going to be like, hey,
242
00:12:23,376 --> 00:12:25,176
Why didn't we do something
at the beginning?
243
00:12:25,278 --> 00:12:28,413
Asian giant hornet's been
on my radar since 2013.
244
00:12:28,515 --> 00:12:31,116
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. ♪
123785
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