There are plenty of targets involving buildings or statues, and I can work with those as well. But there are almost no real-life targets. What do I mean by that? I'm sure remote viewing (RV) can be used in real-world situations, and we should start preparing such targets to demonstrate its practical applications.
In his book, Lyn Buchanan describes how, during the Iraq War, they were tasked with advising in which direction the Iranian military should be pushed. They recommended going in the opposite direction of the oil fields because they saw huge fires there. However, the military didn’t act on their advice. Still, the vision of burning fields could have served as a powerful real-life application of RV.
A long time ago, Ingo Swann was tasked with remote viewing Jupiter. He described features that were confirmed many years later. This shows that RV can also be used for scientific purposes.
In another example from Lyn Buchanan, there is a target on his website where he, taks the viewers, to identify a problem and propose a solution. The issue is that a village was without sunlight for most of the year. His solution was to install giant mirrors, again, a real-world use of RV.
These are the kinds of targets I’m interested in: ones that clearly demonstrate the real-world application of remote viewing.
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We can do plenty of targets like describing what’s under the Sphinx or who killed JFK , but everyone does that. What really pushes remote viewing (RV) forward is its real-world application.
Let me show you what I did. Some time ago, I created three targets , you can find them on my Substack, focused on Enron, ETH, and Luna. I was curious whether AI could spot danger in advance and how the session should be structured to achieve that. The outcomes were interesting.
In the Enron session, it turned out that my questions were poorly formulated. Only in Phase 6 did the AI detect that something was wrong with the target. It took time. But if you look at the Luna session, you’ll see that the AI spotted the danger quite quickly.
What I’m trying to say is that you can use RV for real-life decision-making. For example:
- Should you buy from supplier A or B?
- Who is more reliable?
- Should I hire person A or B?
- Are there hidden problems in a contract?
- Is there a bug in a piece of code?
The key challenge is finding the right formula to approach it. In the Luna session, I gave the AI a frontloading — I told it the target was a financial instrument. Then I asked the right questions, like:
- What is visible in the target?
- What is hidden in the target?
- Describe key future events.
If you can find targets with real-life relevance, it could be huge. But you need to train and develop those targets first, and figure out how to handle them.
For instance, if you give a blind target and the target is “TAZZ,” the AI will probably draw a few geometric shapes. But if you tell the AI that the target is a person, it may draw the subject’s face.
So what I’m saying is: apart from finding the right targets, you also need to find the right approach. Should you go blind, or should you provide frontloading, like saying “this is a subject” or “this is a financial instrument”?
Right now, if I want AI to remote view a subject successfully, I have to do one of two things:
- Blind session, the wording of the target must be indirect, like “describe the location of the recording of the Harvey movie.” In this case, I want to RV Harvey, but I try to view the location he’s in, hoping the AI will pick up on him as well.
- Frontloaded session, I tell the AI before the session that the target is a subject. That way, the AI goes straight to the subject and should be able to pick up on him and his connections.
It was a long post, but I hope you understand what kind of targets would be most valuable.
One more example , and I’m not saying this is a target I want to pursue, but it seems like an easy one to prepare, is a murder case.
You could prepare three separate targets and give them to the AI to view one by one in the same session window:
First target – the location of the murder. This target can be completely blind.
Second target – the subject or subjects who committed the murder. At this stage, there should be frontloading, such as: “Describe the subject or subjects.”
Third target – the object used to commit the murder. This could be blind or frontloaded, although Orion (at the moment) isn’t very good with shapes anyway.
The idea for it comes form Lyn Buchanan website and his target you can see the target, the link below
https://www.crviewer.com/targets/160203/160203.htm
As you can see, it’s possible to design targets with real-world applications , but it takes time and effort.
I propose that if you’d like to try this approach, we could create and test such targets twice a month - that is, once every two weeks.