Did a meteor bring down Air France 447?
blogs.discovermagazine.com
blogs.discovermagazine.com
If I have a probability of throwing a 6 on a dice of 1/6, throwing 6 dice doesn't give me a probability of 1 of getting (at least) a six.
The correct calculation is:
If the probability of one meteor hitting an airplane is 5.7e-13, then the probability of it missing is 1-5.7e-13. For no plane to be hit, all of the 750e6 hours * 125 meteors/hour must miss. That probability is (1-5.7e-13)^(750e6*125)=0.948, ie the probability of at least one hit is 5.2%.
The answer is close to the same, but that's just luck. If the probability was higher, it would be increasingly off.
p(one or meteor strikes) = 1 - ( (1 - p(strike of any meteor))^ (total # meteors) )
(assuming statistical independence, etc).
p(strike of any meteor) = 5.82e-13
(total # meteors) = 3000 * 365 * 20 (for testing over 20 years)
p(one or meteor strikes) = 1.3e-5 = 0.0013%
The error of multiplying 720e6 hrs (the total # of flight hours) by 125 meteors/hr is that it does not give you the total number of meteors in the time period (which is what you need), it gives you a number ~4000 times larger (because at any one time, there are ~4000 planes in the sky...)As long as the planes don't overlap, the flight hours is the correct number to use, because more planes in the sky gives higher probability. It's not the number of meteors that matter, but the number of "potential meteor strikes".
Equivalently, you can say that the probability of a meteor hitting any one plane at a given time is the fractional area taken up by planes, which if there are 4000 planes in the air is 4000*5.82e-13. (Again assuming the planes don't overlap, which since 5.82e-13<<1 is a safe assumption.)
p(one or meteor strikes) = 1 - ( (1 - p(strike of any meteor))^ (total # meteors) )
(assuming statistical independence, etc).
p(strike of any meteor) = 5.82e-13 * 3500 = 2.04E-9
(total # meteors) = 3000 * 365 * 20 (for testing over 20 years)
p(one or meteor strikes) = 0.0436 = 4.36%Since I suspect, due to the way civilization works, there are more planes flying between noon and midnight than between midnight and noon, and the ones that are flying during that time are mostly intercontinental flights that go preferentially across the pole, there are probably less planes than average where those meteors hit.
But now I'm just speculating. ;-)
Using Taylor series, if A<1
(1-A)^B = 1 – B A + B(B-1)/2 A^2 - B(B-1)(B-2)/6 A^3 + B(B-1)(B-2)/24 A^4 - ...
so 1-(1-A)^B ~= B A - B(B-1)/2 A^2 + ...
And if A is small enough (A<<1) 1-(1-A)^B ~= B A - B(B-1)/2 A^2
So, AB is a good approximation and if B is big (B>>1) the second order correction is -B(B-1)/2 A^2 ~= -(AB)^2 /2
Then, with A=5.7e-13 and B=750e6*125=9.4E10, then Exact: 1-(1-A)^B = 0.0520
Approximation: AB = 0.0534
Second Order: -(AB)^2 /2 = -0.0014Just stating the calculation like he did might induce others to think that the expression applies regardless of the magnitude of the result. And then it will be pure luck whether it works or not.
I saw a meteor on a flight once. Granted it was pretty far away, but I also only fly a few times a year. It's certainly not impossible.
[Horrid URL follows, sorry]
http://articles.adsabs.harvard.edu/cgi-bin/nph-iarticle_quer...
Actually what I thought I would find is radar data showing actual counts of meteor strikes, but no joy - I suspect the military knows what they are but they are not saying.
Of course there could be more recent papers hidden behind a paywall, but ADS didn't bring up any obvious abstracts.
And if you really do want to keep black boxes, why not develop an ejection mechanism for them so that they would separate from the plane at the last second and float in the ocean?
http://en.wikipedia.org/wiki/Flight_data_recorder#Future_dev...
You can fly into a storm or into a canyon where radio/satellite uplinks won't work. Hence you need to store the data on sturdy local storage aka a black box.
As much as people love to think that technology can completely tame mother nature, it can't. It's still a brutal place, with nasty conditions. While the uplink data is great, you still need backups (Higher resolution is a nice bonus too)
Redundancy doesn't always mean the same thing as simple duplication.
Problem is that it's not all that strong, and is likely under a few tons of airplane and a few kilometers of water.
-steven wright
The kind of bumps you get in something like that aren't what you think of as turbulence in a plane. Airlines have radar and always go around the big cells. This one would have been strong enough to fling people out of their seats and kill them from blunt force impact with the interior of the plane.
Second, in a thunderstorm, you have lots of rain, which if strong enough can interfere with the engines. There is also hail which can do significant damage to the skin of the plane and make it very difficult to handle. Third, there is lightning, and while airliners are supposed to be able to take a lighting strike, there are different types of lightning, and "positive lighting" has been known to poke holes in airplanes otherwise believed to be protected. Fourth, there can be lots and lots of ice. Airbus has already issued a letter warning of the danger of pitot icing as a result of this crash, and they know that at least one of the airspeed indicators wasn't working properly, probably because it was iced over.
Furthermore, with extreme turbulence, it can be difficult to even read the instruments. With lighting going off all around you, no visible horizon, and you being vibrated and thrown around in your seatbelts, it is very easy to become disoriented and lose control, possibly to the point of overstressing the airframe and ripping it apart.
A thunderstorm like this is about the most dangerous place for an airplane to be. I'm certain that one way or another, that is what did them in.
What's the probability that what those pilots saw was an up beam?