Earthquake Prediction Months In Advance
eegad writes "A UCLA seismologist named Vladimir Keilis-Borok claims earthquakes can be predicted months in advance. In the article at the University of California Newswire, he claims that the "team including experts of pattern recognition, geodynamics, seismology, chaos theory, statistical physics and public safety ... has developed algorithms to detect precursory earthquake patterns." It also says "the team's current predictions have not missed any earthquake, and have had its two most recent ones come to pass." They predict "an earthquake of at least magnitude 6.4 by Sept. 5, 2004, in a region that includes the southeastern portion of the Mojave Desert, and an area south of it." We'll see if they're right."
While this is a great advance, the real deal will be when we get to the point we can predict precisely enough to WARN the people living in these areas.
As in, hey two weeks from friday, leave the area for a day or two.
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In June of 2003, this team predicted an earthquake of magnitude 6.4 or higher would strike within nine months in a 310-mile region of Central California whose southern part includes San Simeon, where a magnitude 6.5 earthquake struck on Dec. 22.
In July of 2003, the team predicted an earthquake in Japan of magnitude 7 or higher by Dec. 28, 2003, in a region that includes Hokkaido. A magnitude 8.1 earthquake struck Hokkaido on Sept. 25, 2003.
In 6-9 months there will be an earthquake within 310 miles of San Francisco of at least 4.0.
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It is apparently now possible to locate the epicenters of tiny earthquakes ("microquakes") that occur very often, and they found that these often occur in the same spot, which would tell us that that location is a place where no bigger Earthquake could happen, as the tension is released often.
Even if we assume that we can conclude the other way round (saying, if the microquakes cease for a while, the probability of a bigger quake right in that spot would rise - which is probably true sometimes), still there would be no information about when the bigger quake would occur or how much bigger it was.
Sure, one could estimate the energy buildup (maybe, in some way), but the time when the bigger quake happens is still unknown. Also, the absence of microquakes is just telling that no more of these are happening - noone can know if this is because tension is building up or if for some reason this place is now lubricated better and tends not to lock anymore.
What one would need is a reliable way to measure the tension underground, and still it wouldn't be possible to know when a big quake happens. It would give a result like "Uh this tension is really high. Better we leave right now and dont come back until the big quake happened."
So far, the only sensible protection against Earthquakes is either buildings that withstand earthquakes (or dont kill people when they collapse... well the first approach sure is favoured ;) or not building at all where quakes happen.
This all seems like a hoax to me, BUT... lets pretend for a moment that it is absolutely true.
If earthquake prediction became the norm, imagine the damage to local economies here in the US!
Imagine this scenario...
"Earthquake, 2 months from now, Seattle area".
Ok, what do you, a business owner, do? Pack up and get out. Hell, you've got 2 months to do it.
Ok, what do you, a would-be tourist on vacation, do? Pick an alternate destination.
Ok, what do you, a local citizen, do? Panic. Perhaps pack the family and leave. Perhaps stay and stockpile supplies if your employer hasn't left yet.
I think it's very obvious that natural disaster prediction would be devastating for local and regional economies. In the big picture, as local economies start their own self-destruction, it'll have a bigger effect on the nation as a whole.
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The key is to start out general and work down to more specific predictions as the methodology is improved and you can build an adequate database and figure out what parts of your model are hogwash and which parts contribute. If they can get one or more parts of the prediction accurate at the 9 month mark, then there is a chance that they can become even more accurate over lesser ranges as time progresses. Also, the ability to predict a major earthquake out at the 9 month mark would be quite welcome for municipalities who are planning emergency preparedness. Imagine being able to budget so that your emergency personnel have the materials on hand that they need. Imagine being able to say "Ok, no-one go on vacation during the August-September timeframe as we are probably going to need all the bodies we can lay our hands on. Just because in the past it has not been possible to predict this sort of thing accurately does not mean it will not be possible in the future and therefore is not worth spending money on. Robert H
I wonder what this might do to the insurance business. Lets say perhaps they predict a 7 or greater in LA in the next 4 months... Now a smart person living in that area would go beef up their earthquake or homeowners insurance (or buy some if they don't have it already).
But a smarter insurance company might decide not to sell any more quake insurance until after the deadline if you live in that area.
So now we know they are coming but can't do much to protect ourselves other than getting out of the area.
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Which is why I am confident we will someday find a way to predict ( with 100% accuracy ) weather patterns.
My god, are you channeling Von Neumann? He said the same thing about weather and predicted 100% accurate prediction "very soon now" for quite a while. The problem is, "most of" the variables isn't enough, and there's no way to get all of the variables exactly right. Even if you had (say) a temperature sensor for each cubic inch of air space in the atmosphere, the temperature variations between the sensors will make any model you base off your sensor readings deviate from reality after a relatively small number of iterations. Complex iterative models are often insanely sensitive to initial conditions. There will never be 100% accurate weather prediction.
If a job's not worth doing, it's not worth doing right.