Thomas Campbell

There's another attribute of the system. It's kind of our feedback for us to see how we're doing. And that is that in this database, things are in terms of probability. Probability is the thing that will happen. What's the probability? What are the possibilities and all the probabilities of those possibilities? That's how the database is constructed. And it's constructed about the future.

There's another attribute of the system. It's kind of our feedback for us to see how we're doing. And that is that in this database, things are in terms of probability. Probability is the thing that will happen. What's the probability? What are the possibilities and all the probabilities of those possibilities? That's how the database is constructed. And it's constructed about the future.

In the next 10 to the minus 44 seconds, what are the possibilities and what are the probabilities of each possibility? And the way the system works is that it takes a random draw from that probability distribution of the possibilities And that's what happens next.

In the next 10 to the minus 44 seconds, what are the possibilities and what are the probabilities of each possibility? And the way the system works is that it takes a random draw from that probability distribution of the possibilities And that's what happens next.

In the next 10 to the minus 44 seconds, what are the possibilities and what are the probabilities of each possibility? And the way the system works is that it takes a random draw from that probability distribution of the possibilities And that's what happens next.

Understanding that lets you understand quantum physics and how it works and lets you understand that the silly thing about, oh, the probability distribution collapses to a physical particle, because that doesn't make any sense. Probability distribution is mathematics. It's running in a computer someplace. How does mathematics running in a computer collapse to a physical particle?

Understanding that lets you understand quantum physics and how it works and lets you understand that the silly thing about, oh, the probability distribution collapses to a physical particle, because that doesn't make any sense. Probability distribution is mathematics. It's running in a computer someplace. How does mathematics running in a computer collapse to a physical particle?

Understanding that lets you understand quantum physics and how it works and lets you understand that the silly thing about, oh, the probability distribution collapses to a physical particle, because that doesn't make any sense. Probability distribution is mathematics. It's running in a computer someplace. How does mathematics running in a computer collapse to a physical particle?

It makes no sense. That's not what's happening at all. What's happening is that reality is created by these, when I say a random draw, it's not a random draw from the possibilities, but from the probability distribution of the possibilities. That means the things that are more likely have a higher probability of coming out.

It makes no sense. That's not what's happening at all. What's happening is that reality is created by these, when I say a random draw, it's not a random draw from the possibilities, but from the probability distribution of the possibilities. That means the things that are more likely have a higher probability of coming out.

It makes no sense. That's not what's happening at all. What's happening is that reality is created by these, when I say a random draw, it's not a random draw from the possibilities, but from the probability distribution of the possibilities. That means the things that are more likely have a higher probability of coming out.

The things that are one in a million have a very low probability of being drawn, but sometimes they are drawn. Things happen one in a million now and again because sometimes they get drawn. Here's an example. A scientist gets a better telescope, and he's going to look into a piece of space farther out. Nobody's ever looked into that space before, so nobody knows what's there.

The things that are one in a million have a very low probability of being drawn, but sometimes they are drawn. Things happen one in a million now and again because sometimes they get drawn. Here's an example. A scientist gets a better telescope, and he's going to look into a piece of space farther out. Nobody's ever looked into that space before, so nobody knows what's there.

The things that are one in a million have a very low probability of being drawn, but sometimes they are drawn. Things happen one in a million now and again because sometimes they get drawn. Here's an example. A scientist gets a better telescope, and he's going to look into a piece of space farther out. Nobody's ever looked into that space before, so nobody knows what's there.

So it's an unknown, okay? So now humans do what we call in science, take a measurement. So he's got this new device, he looks up at this piece of sky with his telescope, and that's taking the measurement. When he takes the measurement, A random draw is taken from the probability distribution of all the possibilities. There's lots of possibilities what might be in outer space.

So it's an unknown, okay? So now humans do what we call in science, take a measurement. So he's got this new device, he looks up at this piece of sky with his telescope, and that's taking the measurement. When he takes the measurement, A random draw is taken from the probability distribution of all the possibilities. There's lots of possibilities what might be in outer space.

So it's an unknown, okay? So now humans do what we call in science, take a measurement. So he's got this new device, he looks up at this piece of sky with his telescope, and that's taking the measurement. When he takes the measurement, A random draw is taken from the probability distribution of all the possibilities. There's lots of possibilities what might be in outer space.

It could be one of, say, a thousand things. But one, there's a constraint. It can't be something that doesn't fit. It can't be something that's cockeyed with what we already know. It has to kind of fit into historical background. So that's one constraint. But all the things that would fit in are still a large number. So then the random draw is taken. That's what he sees.

It could be one of, say, a thousand things. But one, there's a constraint. It can't be something that doesn't fit. It can't be something that's cockeyed with what we already know. It has to kind of fit into historical background. So that's one constraint. But all the things that would fit in are still a large number. So then the random draw is taken. That's what he sees.

It could be one of, say, a thousand things. But one, there's a constraint. It can't be something that doesn't fit. It can't be something that's cockeyed with what we already know. It has to kind of fit into historical background. So that's one constraint. But all the things that would fit in are still a large number. So then the random draw is taken. That's what he sees.