I don't know :P. Well, but recently heard Heisenberg's uncertainty principle being applied to programming world (can't remember what was it exactly, but its about some variable whose state is not known till its value is read). Can this principle be applied to future prediction. Here is is the theory, the more ahead in future you try to predict, the less the probability of the event occurring. So, the difference of time predicted times probability of event occurring must be constant (and probably may be equal to h - Planck's constant, no proof yet :(.)
(delta) T * (delta) p = h
This leads to the corollary that at a given moment, you can predict exactly what is going to happen the next moment.
Now, here is an interesting argument. Given that we can determine what is going to occur immediately next moment, we can use that data to predict exactly what is going to occur the next moment precisely. Continuing in the same fashion, we can determine the future at any instant of time.
Confused? Well, I am too :P. Any comments to prove my theory wrong?
(delta) T * (delta) p = h
This leads to the corollary that at a given moment, you can predict exactly what is going to happen the next moment.
Now, here is an interesting argument. Given that we can determine what is going to occur immediately next moment, we can use that data to predict exactly what is going to occur the next moment precisely. Continuing in the same fashion, we can determine the future at any instant of time.
Confused? Well, I am too :P. Any comments to prove my theory wrong?
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