h a l f b a k e r yI didn't say you were on to something, I said you were on something.
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Predicting and preparing for natural disasters is still an inexact science.
An earthquake in one part of the world leads to Tsunami in others.
The idea is to build an internet tracking system to track patterns in internet postings in the days/hours before a disaster.
As an example, some people
report a bright or blue light before an earthquake. Or many people report that the tides have suddenly receded.
The internet spider would look for timestamped postings which might have predicted distaster and eventually, could be used to update a page with the potential of incipient disaster.
Google Flu Trends
http://www.google.o...ends/about/how.html
[ytk, Aug 27 2012]
Another spider - related disaster story
http://www.electric...pcomix.com/spiders/
[normzone, Oct 02 2014]
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Non-poetic but shorter version to [bigs]. |
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The web trembled ever so slightly before the quake. |
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I recall that China had (still has?) a system wherein people report behavior of animals to warn of quakes. A billion goats can't be wrong. |
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Maybe people could have 20 secs so they could have time to turn on the camera and take off their pants. |
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Is this in reply to the goat anno? I'm trying to keep this page clean. |
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Baked. This is exactly what Google Trends does.
Particularly of interest is its ability to estimate flu
activity, often well before any other agency has had a
chance to compile statistics. (link) |
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That's what the NSI are listening 4 |
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Google Flu Trends video [ytk's link]: "Personal data remains
safe and private". We do not use personal records or
personal identified data to create our estimates." |
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I gather from that, that they DO have personal records and
personal identified data, just they are not using it. So that
data can either be leaked out, or misused. |
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As a programmer and manager, I experienced many times
non-intentional data leaks at large banks, government
institutions and major attorney offices. (A programming
error-message revealed bank account usernames and
passwords, a mock-up system revealed true data about all
the Israeli civilians along with their CVs, a mistake in a
chosen printer sent a secret agreement of a prominent
politician to the one I was waiting at, not gathered till late
that afternoon... and many more) Oh well. |
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//As an example, some people report a bright or blue
light before an earthquake. Or many people report that
the tides have suddenly receded.// //behavior of
animals to warn of quakes.// |
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Except that many of these things are reported every day,
and only remarked on when there's a quake. |
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Given the existence of twitter/instagram/facebook, it
should be possible to do a cohort study of cases where
unusual behavior or effects are reported and see if they
really do uptick prior to disasters. That's your first step. |
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This is clever, but I don't think we're networked well enough
for this to be as effective as it might. Also I don't think most
disasters give much advance warning aside from the things
we're already tracking (earthquakes, hurricanes) |
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If it's smart enough it can use economic data to pick up on
hunches. A spate of canned food and bottled water sales
among people who have lived in the area over 20 years
means the locals have a hunch. |
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// the locals have a hunch // |
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Yes, but that could just be inbreeding ... |
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