1
00:15:34,480 --> 00:15:35,880
I have for the last four years

2
00:15:36,080 --> 00:15:38,280
the movement patterns of animals

3
00:15:38,440 --> 00:15:40,080
recorded on Mount Etna in Sicily.

4
00:15:41,600 --> 00:15:43,480
I went to local farmers

5
00:15:43,680 --> 00:15:46,320
and told them that I wanted to track foxes.

6
00:15:47,320 --> 00:15:49,160
They said I should take goats,

7
00:15:49,320 --> 00:15:51,120
because they react more sensitively -

8
00:15:51,360 --> 00:15:53,440
so I equipped them with sensors.

9
00:15:54,640 --> 00:15:56,440
These are the GPS points.

10
00:15:57,680 --> 00:16:00,640
There is always an accumulation of activity,

11
00:16:00,960 --> 00:16:03,240
but rose on certain nights
this increases by leaps and bounds.

12
00:16:03,880 --> 00:16:06,120
And what happened there?

13
00:16:07,360 --> 00:16:09,880
Well, that was seven nights in two years

14
00:16:10,040 --> 00:16:11,680
before volcanic eruptions.

15
00:16:13,760 --> 00:16:15,760
I'm not sure how they manage it,

16
00:16:16,000 --> 00:16:17,480
but obviously they feel it.

17
00:16:17,960 --> 00:16:20,080
I am convinced that we can help
of swarm intelligence

18
00:16:20,240 --> 00:16:21,600
at least ten hours before the earthquake

19
00:16:21,760 --> 00:16:23,400
could receive a warning.

20
00:16:24,600 --> 00:16:27,120
That's why I want this concept

21
00:16:27,280 --> 00:16:29,880
in the tsunami lab in Chile.

22
00:16:31,360 --> 00:16:34,480
How long do you need

23
00:16:34,680 --> 00:16:37,480
to develop a warning system?

24
00:16:37,960 --> 00:16:39,480
At least a few years.

25
00:16:39,680 --> 00:16:41,040
It depends

26
00:16:41,200 --> 00:16:43,280
how much data we can collect,

27
00:16:43,480 --> 00:16:46,800
how many earthquakes and tsunamis occur.

28
00:16:47,240 --> 00:16:49,840
Did all the sheep react the same way?

29
00:17:04,040 --> 00:17:07,480
Van Leewen, Waeng, Molinari.

30
00:17:08,240 --> 00:17:09,280
Congratulations.

31
00:17:09,440 --> 00:17:12,920
Thank you to everyone else for your time and effort.

32
00:20:20,920 --> 00:20:22,480
Have you ever been here?

33
00:20:23,960 --> 00:20:24,840
No.

34
00:20:25,800 --> 00:20:27,280
I can't let you in.

35
00:20:31,880 --> 00:20:33,000
“makefucknotkill”?

36
00:20:50,480 --> 00:20:51,360
That makes thirty.

37
00:24:25,160 --> 00:24:31,480
9 Moons Later

38
00:29:08,320 --> 00:29:11,280
This is the hinterland of Iquitos.

39
00:29:11,960 --> 00:29:13,960
Everyone who lives here

40
00:29:14,120 --> 00:29:16,920
would be severely affected by a tsunami.

41
00:29:17,320 --> 00:29:21,360
Wish us good luck on the flight tomorrow.

42
00:29:21,560 --> 00:29:23,200
Let's toast -

43
00:29:23,480 --> 00:29:24,440
to the Tsunami Lab!

44
00:29:24,640 --> 00:29:26,040
Thank you, thank you very much.

45
00:29:30,480 --> 00:29:31,880
Well done. - Thanks.

46
00:29:32,040 --> 00:29:35,680
Cheers, guys. Cheers, Bigna.

47
00:29:39,200 --> 00:29:41,040
Are you looking forward to tomorrow? - Yes.

48
00:29:41,200 --> 00:29:42,480
Already packed?

49
00:29:42,680 --> 00:29:45,480
Yes, I didn't have much to pack.

50
00:39:14,800 --> 00:39:19,880
⅐ Moons Later

51
00:57:51,600 --> 00:57:57,960
16 Moons Later

52
00:59:59,720 --> 01:00:00,600
Everything good?

53
01:16:12,720 --> 01:16:19,000
22 Moons Later

54
01:31:34,000 --> 01:31:40,320
52 Moons Later

55
01:32:38,080 --> 01:32:40,560
Hello.

56
01:32:40,840 --> 01:32:41,720
I just arrived.

57
01:32:43,200 --> 01:32:44,360
You are sweet.

58
01:32:45,280 --> 01:32:46,480
The interview is at nine.

59
01:32:47,720 --> 01:32:50,040
The plane leaves for Dubai at 2 p.m.

60
01:32:53,480 --> 01:32:54,400
Yes, perfect.

61
01:32:55,840 --> 01:32:57,360
Okay, bye.

62
01:32:58,000 --> 01:32:58,880
You too.

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01:51:27,920 --> 01:51:30,360
CINETYPE
Translation: Anita Brechbühl