The (Computational) Complexity of Manifesting

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I want to change the way you think about the forces you channel.

Until recently, when I thought about manifesting, it was in terms of the behavior: You ask about something (information, luck or both), and the ethereal software handles the rest.

But now, I’m thinking about how the ethereal software decides what to do — the algorithm it uses to pick the sequence of events to tell you about or make more likely.

Because it can’t possibly be considering every possible path. That’s called “exhaustive search,” which works great if you’re trying to pick the best frozen pizza at the local grocery, but is totally impractical for picking the best book on Amazon. And what we have here is an Amazon-scale problem:

Time for some math. (Math-o-phobes, I promise to be gentle). Let’s say you’re asking about something that happens tomorrow. And let’s say that, every hour, you make a decision, choosing from 10 possible options.

How many decisions do you actually make per hour? A lot. Sure, most of them are trivial, like which article to read, but there’s no way to know whether they’re trivial until we see where that path leads. It could be the article that sparks an idea for a company and changes your life.

To keep the math gentle, say that each hour you make one decision, with 10 options. So, first hour, there are 10 paths. Next hour, each path makes another decision, with another 10 options per path. They multiply, for 100 possibilities total. Then next hour, each of those 100 possibilities has 10 options, for 1,000 total. Once you go 15 hours (we’ll leave out events while you sleep), that’s 10^15 = 1,000,000,000,000,000 possible paths. And that’s just for you — that’s not even including the decisions that other people make, or how your manifesting might influence them.

Here’s the kicker: Decisions multiply. If you and 9 friends make a decision every minute, and each of you has 10 options with each decision, that’s 10 ^ 10 ^ 60 possible futures every hour, which is a 1 followed by 600 zeros, which is an unimaginably large number.

Clearly, it’s not using exhaustive search, especially if you’re using manifesting for events that are weeks or months away. There must be some pruning or collapsing of paths involved.

Thinking back to university, the A* algorithm (pronounced “A star”) is probably a good starting point for this kind of problem. It’s how computers play chess, another arena where there are many possible paths to a broadly-defined goal. (Checkmate, not a particular board position). But it’s been a while since I studied it.

Just like we can improve energy healing with modern medicine, maybe manifesting can benefit from computer science. So, any clues on the algorithm manifesting uses? And any thoughts on what it should use?

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