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Imagine a ball falling down a peg board. Each time it hits a peg, it has a 50% chance of falling either direction. This creates a Gaussian distribution where it
by Houshalter 11y ago
Imagine a ball falling down a peg board. Each time it hits a peg, it has a 50% chance of falling either direction. This creates a Gaussian distribution where it lands. It has a very high probability of landing in the exact center, and slightly less probability of landing to the right, and even less at landing to the far right, etc.
See this image: http://ptrow.com/articles/Galton_June_07_files/GaltonBoard2.jpg http://ptrow.com/articles/Galton_June_07_files/GaltonBoard2....
Now imagine instead of probability, you just split universes each time it hits a peg. One universe the ball goes to the left, and in one universe, the ball goes to the right. Each possibility gets it's own universe.
Then the same result happens. The majority of universes have the ball land in the middle, and very few universes have it land on the tails. But each possibility does have it's own universe. It's just some things happen more than others. If you pick a random universe, you are more likely to end up in one with the ball in the middle, then on a tail.
And this doesn't require an infinite number of universes. It's a completely discrete system.
- eridius 11y agoI appreciate the example here, but this only works when every decision has 2 outcomes with a 50/50 probability distribution (or more generally, when every decision has an even weighting between all results). I don't pretend to have a good understanding of quantum mechanics, but my impression is that this model doesn't match how quantum "decisions" actually work.
- Houshalter 11y agoIt's my understanding that that's exactly how quantum physics works. E.g. a particle has a fixed number of things it can do each moment. E.g move left or right, or whatever. It's the aggregate combination of all these possibilities that produce the probability distributions we observe. But at some low level, there's just a uniform distribution over some number of possibilities.
- eridius 11y agoBut move left/right/whatever by what distance?