Remote viewer technique to clear your screen by filling it with multiple colors

Remote viewer technique:  To clear your “screen” — modern remote viewers build a movie screen, which they program to have an interface like a computer’s.  When they need to clear their system, they use this technique:

Imagine you’re using Adobe Photoshop.  Fill the picture (the screen) with black, then white, then a 100% transparent color.  Now you’re ready for business.

I “got” this one from Food Stamp Man.  You’ll remember I had a weird dream that a remote viewer was hassling me and, on finding out I had a food stamp card, told me he’d cancel it.  No reason:  just to be mean, from what I can tell.  In a later dream (today), he tried to win my trust by telling me a technique he thought would be useful to me.  I just want my food stamps back, but he claims I permanently won’t qualify.

Anyway, more fodder for the novel about the no-good moonlighting government telepaths are up to in this sci-fi novel.


Published in: on April 13, 2011 at 7:05 pm  Leave a Comment  
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remote viewer novel concept: reopen switches

Reopen switches, designed in 1972 at MIT.  Each has a blueprint of the system they’re meant to assume control of.  They drift through the system and attach to control nodes, then hooking in to each other.  They establish feedback loops that allow them through testing cycles to establish their location in the system.

They congregate into subsumption architecture and do their best to exert a prevailing influence on the system’s behavior.  They add or reduce activation energy to each control unity.

Such a structure must be attacked by taking out the leaves and working toward the root.  Taking out the root only causes the others to rearrange themselves.  Important point:  this is always a tree structure.

Question:  what happens if you splice leaf nodes into roots, with traitorous R-O switches, in the hope to set up some kind of destructive feedback with such a recursive system?  Presumably the attack would have to resonate with the system’s frequency.  But this probably won’t work:  at best it will break contacts between R-O switches, but since it will not fry the switches themselves, they will simply recongregate.  Also, over any usefully long chain the R-O system will damp the cycle.

In practice R-O switches are built in to little motivator units, that swim around the system looking for a hook point.  These are kept in a klein bottle until ready to be deployed.

Known countermeasures — none.

They can hook into either neurobiology or electronics.  The blueprint of a human is acquired through holographic imaging of the person from RV cameras tethered to them.  It scans them and sends the info to a video chip, captured in a computer.  This is mapped to a generic image of a human system, which traces pathways and develops a close-enough approximation of the system for the command and control structures to hook in.

In humans, the person must be awake.  This is because the R-O switches do not have sufficient energy to take over switching.  They’re relays.  Sleeping people go into sleep paralysis, and therefore cannot be robotted around this way.  They hook into the neurobiology of the musculature itself, not the brain.  The brain is not understood well enough to do this.  The hook point is the reflex arc at which the pain response activates, e.g. to pull a hand away from a burn.

It can also be used to take over control systems for electronic systems.  The reason is that either case only requires small quantities of energy to simulate the switching, which in both cases is electrical.  However, in the case of nuclear weapons, the difficulties are formidable.

There is no one trigger in the control path to launch a nuclear weapon.  A simple “short circuit” will not activate one.  Further, the documents to such control systems only exist digitally, which are difficult to teep, and an abstract diagram is not sufficient for the reopen map.  A physical model is needed.  Even so, efforts are under way.

Published in: on April 9, 2011 at 8:47 pm  Leave a Comment  
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