I see, but you are talking about an extremely idiosyncratic measure (only two points) on the space of initial conditions. One could as easily find another couple of initial conditions, in which the wing flip prevents the tornado.
If there were a prediction market on tornadoes, its estimations should not change in neither direction after observing the butterfly.
“there is a set of initial conditions such that when butterfly flap = 0 there is no Texas tornado, but when butterfly flap = 1 and no other initial conditions are changed, there is a Texas tornado.”
Phrased this way it is obviously true.
However, why are you saying that chaos requires determinism? I can think of some Markovian master equations with quite a chaotic behavior.
I see, but you are talking about an extremely idiosyncratic measure (only two points) on the space of initial conditions. One could as easily find another couple of initial conditions, in which the wing flip prevents the tornado.
If there were a prediction market on tornadoes, its estimations should not change in neither direction after observing the butterfly.
Phrased this way it is obviously true.
However, why are you saying that chaos requires determinism? I can think of some Markovian master equations with quite a chaotic behavior.