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Narrator:
How do a million high-speed bats
avoid crashing into each other?
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00:00:05,906 --> 00:00:09,041
It's an absolute wonder
to behold.
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00:00:09,043 --> 00:00:11,777
Narrator: What did this dolphin
want with this diver?
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00:00:11,779 --> 00:00:15,748
I was blown away that it
just swam right up to me.
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00:00:18,185 --> 00:00:21,720
Narrator: And how is one bug
a secret mathematician?
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00:00:21,722 --> 00:00:23,589
It's always some weird number.
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00:00:25,726 --> 00:00:28,460
Narrator:
Nature is awe-inspiring,
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00:00:28,462 --> 00:00:31,130
But sometimes it just
doesn't make sense.
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00:00:31,132 --> 00:00:33,499
Man: I have never seen
anything like this.
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00:00:33,501 --> 00:00:37,336
Our team of experts investigates
the weirdest animal behavior...
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00:00:37,338 --> 00:00:38,404
That's amazing.
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00:00:38,406 --> 00:00:40,072
...And the most
unexpected events...
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00:00:40,074 --> 00:00:41,607
What is causing that?
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00:00:41,609 --> 00:00:43,108
...Ever caught on camera.
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00:00:43,110 --> 00:00:44,676
My god!
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00:00:44,678 --> 00:00:46,612
These are...
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00:00:46,614 --> 00:00:49,615
-- Captions by vitac --
www.Vitac.Com
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00:00:49,617 --> 00:00:52,684
Captions paid for by
discovery communications
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00:00:52,686 --> 00:00:54,853
In downtown austin, texas,
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00:00:54,855 --> 00:00:58,624
Crowds gather to watch
a breathtaking nightly display.
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00:01:01,996 --> 00:01:04,897
This is one of the greatest
natural phenomena
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00:01:04,899 --> 00:01:08,967
You can see
anywhere on the planet.
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00:01:08,969 --> 00:01:12,271
The mexican free-tail bats
come out from under the bridge
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00:01:12,273 --> 00:01:14,406
In austin, texas,
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And fly out
in these massive clouds
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To go eat insects
across the countryside.
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00:01:23,150 --> 00:01:25,818
Narrator: Many bat colonies
number in the thousands,
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But crammed under
congress avenue bridge
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Are over 1.5 million.
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This is the biggest
urban bat colony in the world.
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Narrator:
That means in summer, bats
outnumber people in this city.
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00:01:38,566 --> 00:01:41,133
They're almost like
a plume of smoke.
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00:01:41,135 --> 00:01:44,336
It's an absolute wonder
to behold.
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00:01:44,338 --> 00:01:46,071
What's amazing
about this spectacle
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00:01:46,073 --> 00:01:48,440
Is these millions of bats
emerge,
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Yet there's no congestion.
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They don't even seem to collide
with one another.
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00:01:54,748 --> 00:01:57,683
Narrator: So, how do they manage
to fly out at the same time
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00:01:57,685 --> 00:02:00,686
Without flying into each other?
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00:02:00,688 --> 00:02:02,321
So, one possible explanation
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00:02:02,323 --> 00:02:04,389
Is that
they're using their echolocation
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00:02:04,391 --> 00:02:07,793
To see where everyone is
and avoid bumping into them.
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00:02:09,830 --> 00:02:11,497
Cooke: Well, we've all heard
of echolocation.
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00:02:11,499 --> 00:02:13,098
It's the incredible system
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00:02:13,100 --> 00:02:16,802
Whereby bats can navigate
in the dark.
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00:02:16,804 --> 00:02:19,171
They send out high-frequency
sounds,
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00:02:19,173 --> 00:02:22,574
And then they listen
for their reflection back.
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00:02:22,576 --> 00:02:26,211
Narrator:
Is it possible the texas bridge
bats are using echolocation
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00:02:26,213 --> 00:02:30,582
To minimize the number
of deadly mid-air collisions?
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00:02:30,584 --> 00:02:33,051
It's really hard to imagine,
with that many bats,
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00:02:33,053 --> 00:02:35,387
Millions of bats,
all whirling around,
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00:02:35,389 --> 00:02:38,023
That they simply
have this perfect system
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00:02:38,025 --> 00:02:41,627
Where the echolocation means
they avoid one another.
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00:02:41,629 --> 00:02:43,328
You're shouting
and listening to your echoes,
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00:02:43,330 --> 00:02:46,932
But everybody around you is also
shouting as loud as they can.
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00:02:46,934 --> 00:02:50,502
So, how do you tell your echo
from that bat's or that bat's
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00:02:50,504 --> 00:02:52,604
Or the one coming right at you?
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00:02:52,606 --> 00:02:54,840
So, something else
is going on here.
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00:02:54,842 --> 00:02:59,845
Narrator: If echolocation is not
the answer, what is?
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00:02:59,847 --> 00:03:04,082
Is there a clue in the way that
british daubentons bats fly?
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00:03:07,688 --> 00:03:09,254
Scientists in the u.K.
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00:03:09,256 --> 00:03:14,693
Discovered that bats will choose
a wing man, a leader to follow.
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00:03:14,695 --> 00:03:17,129
Narrator: Thermal imaging
cameras revealed that these bats
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00:03:17,131 --> 00:03:18,931
Tend to forage in pairs
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00:03:18,933 --> 00:03:22,234
And seem to obey a simple
set of traffic rules.
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00:03:22,236 --> 00:03:23,669
It goes left, you go left.
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00:03:23,671 --> 00:03:24,970
If it goes right, you go right.
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00:03:24,972 --> 00:03:26,772
And as long as everybody
cooperates,
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00:03:26,774 --> 00:03:30,509
That should keep everyone safe.
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00:03:30,511 --> 00:03:33,645
Narrator:
Could the bats in texas
also be playing a giant game
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00:03:33,647 --> 00:03:37,282
Of follow the leader to
avoid catastrophic collisions?
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00:03:37,284 --> 00:03:39,051
The problem with that theory,
though,
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00:03:39,053 --> 00:03:42,654
Is that these bats are all
changing position all the time,
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00:03:42,656 --> 00:03:43,922
And it's really not clear that
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00:03:43,924 --> 00:03:48,460
There's any particular leader
in these clouds.
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00:03:48,462 --> 00:03:51,363
Narrator: So, how do they
fly out from under this bridge
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00:03:51,365 --> 00:03:53,832
In their millions
without getting injured?
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00:03:56,036 --> 00:03:58,570
Burke: Bat biologists are
so intrigued by this behavior
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00:03:58,572 --> 00:04:01,306
That they film bats
with ultra high-speed cameras
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00:04:01,308 --> 00:04:03,408
That slow the action right down.
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00:04:03,410 --> 00:04:07,679
♪
82
00:04:09,083 --> 00:04:11,316
Narrator: When scientists
analyzed the footage,
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00:04:11,318 --> 00:04:12,751
They were amazed to discover
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00:04:12,753 --> 00:04:15,587
That, actually, thousands
of collisions do occur,
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00:04:15,589 --> 00:04:17,956
Many more than expected.
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00:04:21,061 --> 00:04:23,895
Yet incredibly, the bats
carry on flying
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00:04:23,897 --> 00:04:27,799
Without missing a wing beat.
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00:04:27,801 --> 00:04:31,937
So it seems bats really do
go bump in the night.
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00:04:31,939 --> 00:04:34,706
The question now is
how are they able to recover
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00:04:34,708 --> 00:04:37,442
From mid-air collisions
so quickly?
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00:04:40,014 --> 00:04:43,882
Could the answer lie in the
unique structure of their wings?
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00:04:46,220 --> 00:04:47,819
Boerma: They're mammals
just like we are,
93
00:04:47,821 --> 00:04:50,088
And so their anatomy
is really similar to ours, too.
94
00:04:50,090 --> 00:04:52,824
And so their wings are made
from an arm and a hand.
95
00:04:52,826 --> 00:04:54,026
I can look at my arm
and my hand,
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00:04:54,028 --> 00:04:55,994
And I can see the same joints
in my body
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00:04:55,996 --> 00:04:57,996
That a bat has in their wings.
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00:04:57,998 --> 00:04:59,531
Not only that, but they actually
have muscles
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00:04:59,533 --> 00:05:00,966
Embedded
within the wing membrane
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00:05:00,968 --> 00:05:03,268
That can control
the stiffness of the wing.
101
00:05:03,270 --> 00:05:05,470
That affects the aerodynamics.
102
00:05:05,472 --> 00:05:08,440
Narrator: A bat's flexible wings
can change shape during flight
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00:05:08,442 --> 00:05:11,843
To a much greater extent
than those of insects or birds.
104
00:05:11,845 --> 00:05:14,780
And this may give them
superior aerial agility.
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00:05:14,782 --> 00:05:18,750
The beauty of bat wings is that
they can handle a bump.
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00:05:18,752 --> 00:05:19,985
They can deform.
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00:05:19,987 --> 00:05:21,820
They're made out of a flexible
membrane,
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00:05:21,822 --> 00:05:23,822
So it's not like when
two airplanes hit each other,
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00:05:23,824 --> 00:05:25,590
And they both crash
to the ground.
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00:05:25,592 --> 00:05:28,794
If bats smack wings a little,
they're okay.
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00:05:28,796 --> 00:05:32,364
Narrator: And that's why it's
not raining bats every night
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00:05:32,366 --> 00:05:34,299
In austin, texas.
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00:05:34,301 --> 00:05:38,603
♪
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January 2013.
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Kona, hawaii.
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00:05:46,447 --> 00:05:48,213
Dive instructor keller laros
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00:05:48,215 --> 00:05:53,518
Is leading a busy nighttime
scuba dive at garden eel cove.
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00:05:53,520 --> 00:05:55,821
There are 50 snorkelers
and divers in the water
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00:05:55,823 --> 00:05:57,689
At this manta ray hotspot.
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00:05:57,691 --> 00:05:59,224
Many have underwater cameras
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00:05:59,226 --> 00:06:01,793
To film the wildlife
they encounter.
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00:06:01,795 --> 00:06:03,729
We're sitting, and we're
watching the manta rays
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00:06:03,731 --> 00:06:05,364
As they swoop back and forth
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00:06:05,366 --> 00:06:08,734
And feed on the plankton
attracted to our light.
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00:06:08,736 --> 00:06:11,203
All of a sudden,
I heard a really loud,
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00:06:11,205 --> 00:06:14,039
Piercing sonic burst.
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00:06:14,041 --> 00:06:17,342
[ animal squeaking ]
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00:06:17,344 --> 00:06:20,045
It sounded like a dolphin,
and as I turned,
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00:06:20,047 --> 00:06:22,714
A bottlenose dolphin
was right behind me.
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00:06:22,716 --> 00:06:24,349
[ dolphin squeaking ]
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00:06:24,351 --> 00:06:25,650
It was all alone.
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00:06:25,652 --> 00:06:29,821
Normally, they travel in pairs
or threes or sixes.
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00:06:29,823 --> 00:06:31,790
Narrator: A bottlenose dolphin
is a rare sight
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00:06:31,792 --> 00:06:33,825
At this shallow dive location.
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00:06:33,827 --> 00:06:38,797
At night, they usually head out
to deeper waters to hunt.
136
00:06:38,799 --> 00:06:42,501
But then, as keller watches
the unexpected guest,
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00:06:42,503 --> 00:06:44,703
He spots something ominous.
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00:06:44,705 --> 00:06:47,973
I notice that there's a fishing
line hanging out of his mouth
139
00:06:47,975 --> 00:06:50,409
And was wrapped around
his pectoral fin.
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00:06:53,847 --> 00:06:58,417
It was obviously in distress,
and I sensed the urgency.
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00:07:00,687 --> 00:07:05,056
I'd seen fishing lines seriously
cut and injure manta rays
142
00:07:05,058 --> 00:07:10,896
And see them actually
lose fins from fishing line.
143
00:07:10,898 --> 00:07:15,534
And it's that important
that you get it off.
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00:07:15,536 --> 00:07:19,771
Narrator:
Using his dive knife, he starts
to cut away the fishing line.
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00:07:19,773 --> 00:07:22,641
Dolphins are known
for playing with humans,
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00:07:22,643 --> 00:07:25,076
But this animal could be
in a lot of pain,
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00:07:25,078 --> 00:07:28,847
And most injured wild animals
will avoid human contact.
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00:07:28,849 --> 00:07:31,116
So, what is this dolphin doing?
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00:07:33,554 --> 00:07:36,455
Is it possible that the dolphin
panicked after it approached
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00:07:36,457 --> 00:07:39,724
Keller,
and now it's scared stiff?
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00:07:44,431 --> 00:07:48,467
When an animal is caught
and handled by a human
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00:07:48,469 --> 00:07:50,569
And then an animal
is unable to get away.
153
00:07:50,571 --> 00:07:55,874
Sort of almost goes into a --
almost like a trance-like state.
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00:07:55,876 --> 00:07:58,043
Sort of safety shutdown,
I guess.
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00:07:58,045 --> 00:08:00,912
Essentially, the stress hormones
pumping through their body
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00:08:00,914 --> 00:08:04,249
Are so overwhelming that,
instead of trying to fight back,
157
00:08:04,251 --> 00:08:07,052
They just freeze,
and they go motionless.
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00:08:10,757 --> 00:08:13,758
Narrator: But keller's
dolphin encounter is different.
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00:08:13,760 --> 00:08:16,928
The dolphin actually chooses
to approach the diver.
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00:08:16,930 --> 00:08:19,397
It's not being
approached itself.
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00:08:19,399 --> 00:08:20,932
Laros: I looked up, and I said,
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00:08:20,934 --> 00:08:22,567
"oh, you've got
a fishing line, come here."
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00:08:22,569 --> 00:08:24,803
And I literally gestured
like that.
164
00:08:27,307 --> 00:08:29,975
And then dolphin just swam
straight up to me.
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00:08:32,112 --> 00:08:33,478
You know, when you say
to your dog,
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00:08:33,480 --> 00:08:35,881
"come here,"
you expect the dog to come.
167
00:08:35,883 --> 00:08:38,049
But when I said, "come here"
to the dolphin,
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00:08:38,051 --> 00:08:42,020
I was blown away that
it just swam right up to me.
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00:08:44,558 --> 00:08:46,091
That animal is completely
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00:08:46,093 --> 00:08:48,627
And utterly happy
in the presence of keller.
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00:08:48,629 --> 00:08:52,864
Narrator:
As he works on the dolphin's
fin, it stays close by,
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00:08:52,866 --> 00:08:54,399
But then, without warning,
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00:08:54,401 --> 00:08:58,303
And before the fishing line
is removed, it leaves.
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00:08:58,305 --> 00:09:01,406
If the dolphin really has
approached keller for help,
175
00:09:01,408 --> 00:09:04,342
Why would it swim away
mid-rescue?
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00:09:15,756 --> 00:09:18,990
Narrator: In kona, hawaii, a
dolphin tangled in fishing line
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00:09:18,992 --> 00:09:22,260
Approaches diver
keller laros for help.
178
00:09:22,262 --> 00:09:26,898
Mid-rescue, it suddenly leaves
and swims to the surface,
179
00:09:26,900 --> 00:09:28,366
But why?
180
00:09:28,368 --> 00:09:31,136
This dolphin clearly needed to
surface for air, which it did.
181
00:09:31,138 --> 00:09:32,904
But as soon as it had
enough air,
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00:09:32,906 --> 00:09:35,106
It went straight back down.
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00:09:35,108 --> 00:09:38,043
Narrator:
It picks keller out again
from the group of 50 divers
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00:09:38,045 --> 00:09:40,078
And swims right up to him.
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00:09:40,080 --> 00:09:43,081
Yeah, there I am in a wetsuit
at night, you know, with a mask,
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00:09:43,083 --> 00:09:45,850
And the dolphin came back
and found me again.
187
00:09:45,852 --> 00:09:51,056
Narrator:
But how did it single keller out
from such a large group?
188
00:09:51,058 --> 00:09:54,759
Could it be that the dolphin
actually recognized him?
189
00:09:57,898 --> 00:10:00,899
Well, there are many examples
of dive sites
190
00:10:00,901 --> 00:10:05,470
And even boat safaris where
the same individual dolphins
191
00:10:05,472 --> 00:10:08,440
Will appear in response
to a boat
192
00:10:08,442 --> 00:10:11,076
Or a diver
being present in the water.
193
00:10:13,380 --> 00:10:15,680
It's possible
that this what was going on,
194
00:10:15,682 --> 00:10:17,983
That this dolphin
actually knew the diver.
195
00:10:17,985 --> 00:10:20,118
Narrator: But did the diver
know the dolphin?
196
00:10:20,120 --> 00:10:21,453
Well, it turns out that keller
197
00:10:21,455 --> 00:10:23,722
Is more of a manta ray
specialist.
198
00:10:23,724 --> 00:10:26,358
I can tell manta rays apart
by the spots on their abdomen.
199
00:10:26,360 --> 00:10:28,460
It's like a fingerprint.
200
00:10:28,462 --> 00:10:29,828
But dolphins?
201
00:10:29,830 --> 00:10:33,198
They all pretty much look
alike to me.
202
00:10:33,200 --> 00:10:34,899
Narrator:
As far as he was concerned,
203
00:10:34,901 --> 00:10:39,337
This was just any old dolphin
that came by to say hi.
204
00:10:39,339 --> 00:10:42,807
That is, until he got back home
and reviewed the footage
205
00:10:42,809 --> 00:10:45,610
When he realized
something astonishing.
206
00:10:57,324 --> 00:10:59,958
Narrator: On a routine
night dive off kona, hawaii,
207
00:10:59,960 --> 00:11:02,894
Scuba instructor keller laros
encounters a dolphin
208
00:11:02,896 --> 00:11:04,896
In need of his help.
209
00:11:04,898 --> 00:11:07,265
It approaches, and keller works
to cut away
210
00:11:07,267 --> 00:11:08,800
A tangled fishing line.
211
00:11:08,802 --> 00:11:12,103
But why did the dolphin
single out keller in particular?
212
00:11:12,105 --> 00:11:14,572
I noticed that it had
a white scar,
213
00:11:14,574 --> 00:11:17,809
Kind of a rectangular-shaped
scar behind its left eye.
214
00:11:17,811 --> 00:11:22,747
And I realized, that makes
this dolphin look different
215
00:11:22,749 --> 00:11:24,249
Than all the rest.
216
00:11:24,251 --> 00:11:26,885
The previous summer,
keller had taken his son
217
00:11:26,887 --> 00:11:29,254
On a snorkeling trip
with school friends,
218
00:11:29,256 --> 00:11:31,656
And they'd taken
some underwater photos.
219
00:11:31,658 --> 00:11:34,659
So, when my son's senior
yearbook came out,
220
00:11:34,661 --> 00:11:35,827
We were looking at the pictures.
221
00:11:35,829 --> 00:11:37,495
And one of the pictures
he'd used was him
222
00:11:37,497 --> 00:11:39,931
Snorkeling with this dolphin.
223
00:11:41,835 --> 00:11:44,302
It was the same dolphin.
224
00:11:44,304 --> 00:11:46,171
White scar behind its eye.
225
00:11:48,775 --> 00:11:51,810
So, I'd actually met this
dolphin the previous summer.
226
00:11:54,214 --> 00:11:56,681
Narrator: Whether it not
it remembered him,
227
00:11:56,683 --> 00:11:59,250
The dolphin certainly
does seem to have known
228
00:11:59,252 --> 00:12:01,386
That keller could help it out.
229
00:12:05,559 --> 00:12:07,058
Laros: I think the first sign
of trouble
230
00:12:07,060 --> 00:12:11,029
Was that the dolphin
squeaked really, really loud.
231
00:12:11,031 --> 00:12:15,133
Very sharp, focused sonar blast.
232
00:12:15,736 --> 00:12:19,370
[ dolphin squeaks ]
233
00:12:19,372 --> 00:12:22,607
It was almost like a call
for help.
234
00:12:22,609 --> 00:12:25,176
It came up and sort of leaned
into me.
235
00:12:27,914 --> 00:12:29,781
It was so intent and so focused
236
00:12:29,783 --> 00:12:32,884
On getting this
fishing line removed.
237
00:12:32,886 --> 00:12:36,287
So, it was no accident.
238
00:12:36,289 --> 00:12:39,090
This dolphin was clearly
trying to make sure
239
00:12:39,092 --> 00:12:42,227
That the diver understood
what needed to be done.
240
00:12:42,229 --> 00:12:45,630
Baker: Somewhere along the line,
that dolphin has worked out
241
00:12:45,632 --> 00:12:49,234
That keller is the solution
to its problem.
242
00:12:49,236 --> 00:12:51,236
That's the incredible thing.
243
00:12:51,238 --> 00:12:56,875
Narrator:
But how did it figure out
that humans were the answer?
244
00:12:56,877 --> 00:13:01,379
Or that keller and the other
divers were safe to approach?
245
00:13:03,383 --> 00:13:05,183
It seems to me
what's happening here
246
00:13:05,185 --> 00:13:07,485
Is some form of habituation.
247
00:13:10,123 --> 00:13:12,290
Oh, my god.
248
00:13:12,292 --> 00:13:16,127
Narrator:
Habituation is when wild animals
repeatedly interact with humans
249
00:13:16,129 --> 00:13:18,429
And learn not to
be fearful of them.
250
00:13:18,431 --> 00:13:20,298
It's not always a good thing.
251
00:13:20,300 --> 00:13:23,401
It can put them at risk,
but in this unique case,
252
00:13:23,403 --> 00:13:26,337
It may have saved
the dolphin's life.
253
00:13:26,339 --> 00:13:29,174
Laros: I think that dolphin came
to find humans
254
00:13:29,176 --> 00:13:31,376
Because it knew that humans
would be in a position
255
00:13:31,378 --> 00:13:32,877
Where we could help it,
256
00:13:32,879 --> 00:13:36,781
And I was just lucky enough that
I recognized the dolphin's need.
257
00:13:40,253 --> 00:13:46,090
As I cut the line off, I really
think the dolphin felt relief,
258
00:13:46,092 --> 00:13:47,759
And it took off.
259
00:13:47,761 --> 00:13:52,297
We see that dolphin to this day,
and it's doing well.
260
00:13:52,299 --> 00:13:54,999
Narrator: This distressed
dolphin knew it was in trouble
261
00:13:55,001 --> 00:13:57,368
And sought out humans
for help.
262
00:13:57,370 --> 00:14:00,071
Fortunately, keller was on hand
to make sure
263
00:14:00,073 --> 00:14:02,941
This mystery
had a happy ending.
264
00:14:02,943 --> 00:14:09,080
♪
265
00:14:13,553 --> 00:14:17,021
June 2013, east coast, america.
266
00:14:17,023 --> 00:14:20,191
In nine different states,
from new jersey to virginia,
267
00:14:20,193 --> 00:14:23,728
Millions of cicadas emerge
all at the same time.
268
00:14:23,730 --> 00:14:24,929
Nelson: Imagine one acre.
269
00:14:24,931 --> 00:14:27,999
That's maybe a large plot
of land for a house.
270
00:14:28,001 --> 00:14:32,470
We're talking about 1.5 million
cicadas an acre.
271
00:14:32,472 --> 00:14:36,207
Narrator: These cicadas were
laid and hatched 17 years ago.
272
00:14:36,209 --> 00:14:37,809
They've been biding their time,
273
00:14:37,811 --> 00:14:41,279
Developing underground
ever since.
274
00:14:41,281 --> 00:14:43,848
They're known as
periodical cicadas,
275
00:14:43,850 --> 00:14:45,783
And for a very good reason.
276
00:14:45,785 --> 00:14:47,018
Riskin: The mystery around them
277
00:14:47,020 --> 00:14:53,424
Is why they only come out
every 13 or 17 years.
278
00:14:53,426 --> 00:14:55,426
Not every 10, not every 5.
279
00:14:55,428 --> 00:14:57,762
It's always some weird number.
280
00:14:59,733 --> 00:15:03,434
Narrator:
What's the reason for their
strangely timed appearance?
281
00:15:07,140 --> 00:15:12,143
Is there a clue in the actions
of other swarming insects?
282
00:15:12,145 --> 00:15:14,612
So, one possibility is that
the cicadas
283
00:15:14,614 --> 00:15:17,148
Are just moving around
in search of food.
284
00:15:20,353 --> 00:15:23,721
Nelson: Desert locusts,
from the biblical plague,
285
00:15:23,723 --> 00:15:26,758
They form these huge
populations of individuals
286
00:15:26,760 --> 00:15:28,726
Which can destroy crops.
287
00:15:28,728 --> 00:15:30,728
These come up in their billions,
288
00:15:30,730 --> 00:15:34,332
And when they do,
they form these vast clouds.
289
00:15:34,334 --> 00:15:36,801
Narrator: Hungry locusts
must travel up to a mile a day
290
00:15:36,803 --> 00:15:39,704
To find enough food
to support the swarm.
291
00:15:39,706 --> 00:15:43,741
But adult cicadas barely feed,
drinking only a little tree sap,
292
00:15:43,743 --> 00:15:46,444
Causing minimal damage
to plants.
293
00:15:46,446 --> 00:15:47,745
Burke: They emerge en masse,
294
00:15:47,747 --> 00:15:50,882
But they seem to stay
put and die in one place.
295
00:15:50,884 --> 00:15:54,686
So, something else is going on.
296
00:15:54,688 --> 00:15:56,521
Narrator:
If they're not looking for food,
297
00:15:56,523 --> 00:15:59,824
Why else might these cicadas
have suddenly turned up?
298
00:16:02,429 --> 00:16:04,228
Riskin: Another possibility
is that they're all coming out
299
00:16:04,230 --> 00:16:08,566
At the same time
for safety in numbers.
300
00:16:08,568 --> 00:16:11,703
They don't want to be eaten,
so if there's zillions of them,
301
00:16:11,705 --> 00:16:13,304
The predators
will be overwhelmed,
302
00:16:13,306 --> 00:16:17,041
And so individual cicadas
are more likely to survive.
303
00:16:17,043 --> 00:16:21,212
The theory is you're simply
flooding the market.
304
00:16:21,214 --> 00:16:26,417
♪
305
00:16:26,419 --> 00:16:29,887
So, if there is more animals
in the market,
306
00:16:29,889 --> 00:16:32,623
Then the native
predators can tackle --
307
00:16:32,625 --> 00:16:36,794
You simply cannot eat
all those animals in one go.
308
00:16:36,796 --> 00:16:41,232
Then some, by definition,
get away and succeed.
309
00:16:41,234 --> 00:16:44,135
Narrator: If this mass emergence
is all about safety,
310
00:16:44,137 --> 00:16:48,306
Wouldn't a less risky strategy
be to just stay put underground?
311
00:16:48,308 --> 00:16:51,476
There's another reason why
animals might emerge en masse,
312
00:16:51,478 --> 00:16:53,611
And that's to mate.
313
00:16:53,613 --> 00:16:58,416
Narrator:
So, is this huge gathering a
periodical cicada mating frenzy?
314
00:17:03,223 --> 00:17:05,923
So, over a period of just
a couple weeks,
315
00:17:05,925 --> 00:17:09,127
All these adult cicadas
push up through the soil.
316
00:17:09,129 --> 00:17:10,762
They've been
waiting for the cue,
317
00:17:10,764 --> 00:17:12,997
And they all come out
of the soil together.
318
00:17:12,999 --> 00:17:14,098
These are mating machines.
319
00:17:14,100 --> 00:17:15,299
They don't really feed
as adults.
320
00:17:15,301 --> 00:17:17,402
It's all about sex.
321
00:17:17,404 --> 00:17:23,641
♪
322
00:17:23,643 --> 00:17:27,845
Narrator:
Cicadas come out en masse
to maximize their chances.
323
00:17:27,847 --> 00:17:29,113
Like speed dating.
324
00:17:29,115 --> 00:17:30,915
The more potential partners
there are,
325
00:17:30,917 --> 00:17:33,651
The likely they are to be
lucky in love.
326
00:17:37,590 --> 00:17:38,990
Nelson: So maybe that's what
we're seeing here.
327
00:17:38,992 --> 00:17:40,324
A timed event
328
00:17:40,326 --> 00:17:43,394
Where they're all coming
out of the ground to mate.
329
00:17:43,396 --> 00:17:44,862
Riskin: The problem
with that theory, though,
330
00:17:44,864 --> 00:17:46,664
Is that it doesn't explain
why they would only come out
331
00:17:46,666 --> 00:17:49,434
In such weird numbers of years.
332
00:17:49,436 --> 00:17:52,937
Nelson: And I think the solution
to this is found
333
00:17:52,939 --> 00:17:54,939
When you actually look
at those numbers.
334
00:17:54,941 --> 00:17:56,841
13 and 17
are very unique numbers.
335
00:17:56,843 --> 00:17:58,309
They're prime numbers.
336
00:17:58,311 --> 00:18:00,711
What that means is the only
thing that divides into them
337
00:18:00,713 --> 00:18:02,680
Is itself and one.
338
00:18:02,682 --> 00:18:04,248
Riskin:
And you would think that that is
339
00:18:04,250 --> 00:18:05,783
Just something you learn
in math class,
340
00:18:05,785 --> 00:18:08,619
And it has no bearing
at all on the natural world.
341
00:18:08,621 --> 00:18:10,922
But it turns out
that prime numbers
342
00:18:10,924 --> 00:18:13,357
Are very important for cicadas.
343
00:18:27,040 --> 00:18:28,873
Narrator:
Across the eastern usa,
344
00:18:28,875 --> 00:18:34,612
Periodical cicadas emerge
every 13 or 17 years.
345
00:18:34,614 --> 00:18:36,247
They all come out
at the same time
346
00:18:36,249 --> 00:18:41,419
So they can mate en masse,
but why the strange timings?
347
00:18:41,421 --> 00:18:45,056
It turns out their long,
prime number population cycles
348
00:18:45,058 --> 00:18:48,359
Help the cicadas to avoid
as many predators as possible.
349
00:18:50,196 --> 00:18:52,730
Think of it from
a predator's perspective.
350
00:18:52,732 --> 00:18:55,066
They also have
population cycles,
351
00:18:55,068 --> 00:18:57,235
With their numbers
rising and falling,
352
00:18:57,237 --> 00:19:00,605
Depending on how much food
there is to go round.
353
00:19:00,607 --> 00:19:03,975
If their boom in population
matched that of the cicadas,
354
00:19:03,977 --> 00:19:07,111
They could almost wipe them out.
355
00:19:07,113 --> 00:19:10,681
Imagine a predator with a two-
or three-year life cycle.
356
00:19:10,683 --> 00:19:14,785
If the cicadas came out, say,
every 6 or 12 years,
357
00:19:14,787 --> 00:19:17,188
The peak in predator numbers
would coincide
358
00:19:17,190 --> 00:19:20,191
With the cicadas every time.
359
00:19:20,193 --> 00:19:22,226
But 13 and 17?
360
00:19:22,228 --> 00:19:24,996
Nothing divides into that.
361
00:19:24,998 --> 00:19:27,732
If you have a predator that
comes out every other year,
362
00:19:27,734 --> 00:19:30,768
It's never going to match
the cycle of the cicadas.
363
00:19:30,770 --> 00:19:32,737
Narrator: There are no
predator life cycles
364
00:19:32,739 --> 00:19:35,406
That synch up with
the prime number boom years
365
00:19:35,408 --> 00:19:37,608
Of the periodical cicada.
366
00:19:37,610 --> 00:19:40,044
As a strategy for the cicada,
it works really, really well
367
00:19:40,046 --> 00:19:43,648
'cause it is near impossible
to time your own life cycle,
368
00:19:43,650 --> 00:19:48,953
If you're a predator,
to hit those mass emergences.
369
00:19:48,955 --> 00:19:50,521
It's an amazing strategy.
370
00:19:50,523 --> 00:19:53,891
It's a bizarre strategy,
and I believe a unique one.
371
00:19:53,893 --> 00:19:56,294
But the question is
how do they know
372
00:19:56,296 --> 00:19:58,863
When 13 years or up
or 17 years are up?
373
00:19:58,865 --> 00:20:02,600
How do they know when to emerge?
374
00:20:02,602 --> 00:20:05,770
Narrator: Are cicadas secret
mathematicians?
375
00:20:09,809 --> 00:20:12,009
Potentially, because somehow,
376
00:20:12,011 --> 00:20:14,679
They're tracking
the passage of time.
377
00:20:14,681 --> 00:20:16,914
Nelson: Well, what we think
happens is that the cicadas
378
00:20:16,916 --> 00:20:18,382
Are actually keeping
track of the sugar
379
00:20:18,384 --> 00:20:19,650
Flowing through the tree.
380
00:20:19,652 --> 00:20:20,918
The sugar only flows
through the tree
381
00:20:20,920 --> 00:20:23,120
When the leaves are out.
382
00:20:23,122 --> 00:20:26,257
Narrator:
Track the sugars, and the
cicadas can track the seasons.
383
00:20:26,259 --> 00:20:28,259
Now, as every spring goes by,
384
00:20:28,261 --> 00:20:32,263
They can taste when the sugars
spike as the trees go into leaf,
385
00:20:32,265 --> 00:20:34,765
And it's this way
that they're able to monitor
386
00:20:34,767 --> 00:20:38,736
Each passing year,
each passing spring.
387
00:20:38,738 --> 00:20:43,674
Narrator:
The cycles of tree sap probably
affect how cicadas develop.
388
00:20:43,676 --> 00:20:48,613
In readiness to emerge en masse
every 13 or 17 years.
389
00:20:48,615 --> 00:20:54,785
♪
35147
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