UFOs, UAPs, and Trans-dimensional Physics

My 2017 book “Dimensions Next Door” now seems likely to be a very useful starting point for UFO and UAP research. A major government report is pending. That’s because in the book (DND) there was a very productive “survey of the data” approach taken.  Something missing in most UFO/UAP “reports.”

The problem is a quirk in how humans perceive non-ordinary events.  While some call it “normalcy bias” there’s a similar phenom in electronics called “bias.”  That’s the tendency of a vacuum tube or solid state device to “stop conducting” when biased a certain way.

Thomas Gilovitch’s book, “How We Know What Isn’t So: The Fallibility of Human Reason in Everyday Life” touches on this.

A thought experiment if I may?

Pretend you go outside and are run over by a truck.  The normal “human bias” response is to look at the truck which nailed out.  And then deepen your understanding on the “impact phenomenon.”  Maybe it was a Kenworth, perhaps a Freightliner.  Red?  Sleep cab? Towing something?

There is another approach to science.  Suppositional and investigatory.  It zooms-out from the singular impact-moment and instead looks around.  Have their been other impacts?  Is there anything in common between them?

You can see where this leads:

One interpretation of “science” focuses on the truck, impact, medical results, and so forth.

The Scientific Generalist finds other examples of truck-human impacts. As the commonalities of all impact cases are reviewed, much broader truths beyond a singular probe of a Kenworth or Freightliner and one victim come into focus.

Impacts don’t happen at random.  Discovery follows.  Impacts cluster in a pattern.  Looked at with “new eyes” we make out these things called (variously) roads, streets, turnpikes, and freeways.

Which leads to our discussion this morning of simple/obvious mechanisms of trans dimensional physics I believe have been overlooked.  Can’t say if this will be an opening to Dimensions Next Door II, but there’s a clustering to the impact data coming clearly into view for the data focused Scientific Generalist.

After a few headlines (which are starting to read like my 2012 book, Broken Web) and, of course, the ChartPack.

The two most important words in this morning’s report, though?  GID and hyper.  You need to be prepared for both…

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