S
Serious
Guest
Ok. An old joke is in order. A mathematician, a physicist and an engineer are asked to prove the theorem: “all integers are prime numbers”. The mathematician says: “1 is a prime, 2 is a prime, 3 is a prime, 4 is not a prime… so the theorem is false”. The engineer says: “1 is a prime, 2 is a prime, 3 is a prime, 4 is a prime, 5 is a prime, 6 is a prime… so the theorem is true”. The physicist says: “1 is a prime, 2 is a prime, 3 is a prime, 4 is not a prime, 5 is a prime… the 4 is just a measurement error… so the theorem is true”.To me, as a physicist, there is only one right answer. Having multiple solutions is not an answer, it is not even an option.
We are talking about creating a function of F(x), which will yield the values from a random source. There are infinitely many of such functions. All of them are right. A right answer is the one which gives the right result.
Random is as random does. The edge of Mandelbrot set is truly random. You cannot “predict” if an (x[sub]1[/sub], y[sub]1[/sub]) value will belong to the Mandelbrot set or not, unless you actually calculate it. Not even God can predict the answer. He would have to actually go through the calculation to find it out.True these seeds can be further randomized by using seeds based on millisecond clock-time, the prescription for getting those numbers is still not random which is what I wanted to point out. There is a formula, so obtaining a formula post facto should not conflict with the design of the RNG.
I am sure that some numerical modelers would disagree with you on it being truly random. All of these lottery ball’s motions work on Newtonian mechanics, so if one were sufficiently inclined and saw how the balls were placed initially, it is possible to predict which balls would be selected. In this scenario, assuming the prediction (which comes first) from the numerical model is correct (matches the subsequent lottery drawing), is this then a design and not randomness?