something is random or not ; the distribution of something, which might be equal or not¹; ¹) very often, it isn't an equal distribution, but a normal distribution, when most cases are grouped around an average. Think: body size of persons of same age and culture: Most are around 1.8m, fewer 1.7m or 1.9m, far fewer 1.6 or 2.m.

2018年8月30日 · We can set the probabilities to be as close to 50-50 as we like, depending on how well we make our apparatus. However, something can be random without being 50-50, as long as they're not even theoretically predictable. We're dealing with something called the collapse of the wave function. Anything can be described with a wave function.

2015年11月6日 · So, a random event must be always mean something like, "an event that we currently understand to be not determined by anything external to it, although we might find later that it was." Free will must be remain a shorthand for "that which we cannot currently find determination for, and so may very well be uncaused."

A mathematician wouldn't use a formula to generate a random number. He or she would simply stipulate the properties that a random number might satisfy: for example, to model a dice, one would ask for a random integer drawn from the set {1,2,3,4,5,6} and uniformly distributed.

2013年9月15日 · Something can be both random and caused, or random and uncaused (if you believe in such things). Randomness is not a property of origin (cause) but of comprehension (understanding the origin). Random can mean simply "unpredictable", or "of or characterizing a process of selection in which each item of a set has an equal probability of being ...

2011年12月31日 · Random is something that our friend Reality cannot pre-calculate. It has no roots, no origins, no subconscious reasons. It just is there. Nothing can generate random numbers. There always has to be something, or some reason to everything. Even computer random generation algorithms have a seed, i.e., the number starting from which the random ...

2024年12月5日 · Random processes don't follow probability distributions; random processes have probability distributions. If we have a truly random process (however that might be defined), what we know is that events are independent: the occurrence of one event is not conditioned on the occurrence of any other event.

2018年4月15日 · As long as there are constraints on the system there is at least something we can be sure about, even if it's just the probability of a certain outcome. Random outcomes are described in terms of completely determined numbers without contradiction. Since determined logic can apply to random systems, there is no reason to reject it

2023年1月6日 · Machines are deterministic. Regarding the claim that a sequence that looks random is random, you might consider the decimal digits of pi. They are perfectly deterministic. There's an algorithm that, given a positive integer n, will output the n-th digit after a finite number of operations. The digits are not random. But they look random.

2022年6月8日 · When assuming how something is the way it is, you choose the simplest explanation. But what is the chance of this actually being the explanation? For example, say a cucumber randomly appeared on the ground. After your initial shock, you would try to figure out how it appeared without seeing it placed there.