Sunday, July 22, 2012

Telepathy using Retinal Reflection

Telepathy using Retinal Reflection
Andre Willers
22 Jul 2012
“The eyes are the windows of the soul” Beerbohm
Reflected , hardened-entangled photons from retina of person A to retina of person B are quantum-decoded . A feedback process can develop.
Discussion :
In the Newtonian world-view , the eye is just a piece of meat with no expression . The quantum-world is much richer .
Light is reflected from the layers of the retina , being entangled in the process with information that can be decoded by another human observer .
Looking deep into someone else’s eyes really does give information about their mental state . This is Telepathy when the there is agreement between the packing and unpacking of the entanglement coding .(See Appendix I)

The Unpacking mechanism :
I am only going to examine human systems (otherwise this will be too long)
Human neural networks are organized along mirror-network bases . Semi-autonomous units that have to communicate to form a functioning system .
XenoTranlator :
Call this mechanism a xenotranslator . It translates between mirror-neuron networks . (A specialized synapse , with a precise coding) . In non-pathological cases it usually operates on voting principle .
Every time a human wakes up , there is a huge jostling and voting on which alliance is going to have consensus control . The conscious mind is something like French or Italian politics .
Xenotranlators between different bodies are similar if they share the significant genes coding for xenotranslators .
Note that xenotranlators can handle quantum-entanglement (part of the job-description) .
Simple unpacking instruments :
See Appendix II
Only a part of the entangled information is read.

Packing .
The hard part .
Hardened Entanglement in the Retina :
Single entanglements are notoriously flimsy . It becomes much more enduring(exponentially so) with each additional entanglement added at the levels of the retina .
There are several layers to the retina , each one connected via a neuron-network to the brain . Incoming light gets Observed (ie wave-function collapses) .
But the reflected light gets loaded with an entanglement in qbit fashion .
Delicious !
There is sufficient bandwidth to pack the entire brain’s content in the entangled qbits of the light reflected from the retina , but some information will always be lost , even with a mirror .
Magic Mirror .
A stochastic resonance mirror will indeed be a magic mirror . Lost information can be recovered can be recovered by looking at yourself in mirror , with a LED headlamp while moving the head . Do not try this unless you have a clear conscience .
Quantum Computers :
See how the retina hardens entangled qbits . And decodes them . This means that glasses or mirrors will have the normal information loss . Also the cornea . So a stochastic , low-power laser playing over the eyeball will make you smarter .
Why blood vessels on top of the retina ?
The entanglement is holistic . So the reflection has to be statistically likely to make it out of the eyeball cavity . Hence the blood vessels , which act like light-scatterers for the reflected light . It works as long as some of the reflected light makes it out of the iris .

Romance :
Looking deep into the significant other’s eyes in dim candlelight (eye pupil dilation ) induces a positive feedback if there is even a small attraction at the start .
Saccades :
Are saccades inhibited if romance is in the air ? I do not know , but strongly suspect it . Reading while someone attractive is looking at you is a big turn-off .
The Look of attraction is then a cessasion of saccades . A Focus .
Black makeup around the eyes prevents reflection and interference in the reflected retinal light . In typical human fashion , it makes lying easier . But they can’t even do this properly . Insect scales (nanometer can do it better .) See Egyptian eye-makeup with insect scales .
Fractal Fresnel Lenses .
All those skin lotions .
Various skin fractal Fresnel lenses have evolved , focussing reflected light from the retinas and mirrors and decoding the information . The addiction actors have to their image is real . And the effect of their audience looking at them (ie lots of signals at quantal level) is real as well . Actors are just more sensitive . They should be careful of the Magic Mirror Effect .

Fear , dominance and eye contact in digital systems .
But translating this through digital media loses information at the edges . The digital translation is losing a massive 2/3 of information .
Only the perceived important part is digitally encoded . There is no analog interface . The wisdom of thousands of years is discarded.
It would not matter too much if human population was not so large and dense
This means that the digital revolution means massive depopulation .
Here’s looking at you , kid .

Appendix I
Unpacking and Packing Information .
Andre Willers
18 July 2008

Discussion :
Also known as data compression or decompression .
Well-known as zip/unzip in computers .

Why pack information?
To transmit information over space and time with less energy , time or disruption .
Please note that packing is used in systems subject to competition pressures , so minimizing disruption of messages is critical .

2.Abstraction .
Even a simple Pkzip compression contains more information than the original message . For instance , Pkzip has been used to successfully identify authors’ styles or the original language of an encrypted message .
A civilization can be described by zipping the yellow pages.

2.1 Layers:
Primitive packing is in separate layers .
Languages are a good example .
We can define the top layers as more abstract , and delve down into deeper layers of meaning and definition.

2.2 Fractal Layers :
New meanings are unlocked by each iteration . Language equivalents are Shakespeare and Proust .

2.3 Hyperlinked Fractal Layers .
Each hyperlink-bubble can be expanded . Note that the hyperlink terms are discrete , not continuous .

2.4 Very-near Hyperlinked Fractal Layers .
Different languages with nearly synonymous terms are examples . Branes in physics .

2.5 Infinite-probe Hyperlinked Fractal Loops and Layers .
There is no analogue . God is the nearest .

There is a way to sneak up to some meaningful information .

Sneak up.
We know that any compression of system A contains more information than the original system . The Compressor comprises system B , which can be compressed as well .
The tipping point :
When Compressed Info of (A+B) = Info of (A+B)

This is defined as life when the Compressed Info of (A+B) > Info of (A+B)
Which , like all good definitions , is tautological . But extremely useful .

We have compression techniques . We have descriptive techniques .
The above inequality is not continuous at levels below omega .

Hard physics application:
Energy flow from a “near” brane .
The decompressor is the important component .
Construct the correct unpacker .
Some energy is already leaking through .
This is interpreted as zero-point energy and a whole quantum-mythology has grown around it .

Differences in Beth levels are necessary .

Start with something like vacuum-energy on parallel plates and use EvoDevo processes .

Infinite probe circuits above a certain threshold -> Naked singularities .
Watch out for universe creation and black holes .

The Packing Mechanism for living organisms
Living organisms used the easier route of cells (“wombs”) as unpackers of the DNA .
Random mutations or intrusions in the DNA then survive into the next generation . Evolutionary mechanisms ensure that only the fittest germ-lines survive to continue the loop .
That is the packing mechanism . Evolution. Rather primitive .

It seems that the unpacking mechanism evolved first .It is much more likely .

Billions of years ago:
The packing molecules (RNA) swarmed and formed at randomness order of Beth(0). Other RNA molecules confined in spaces like clay-layers stayed longer .
PCR shows how easily these replicate . A mere fluctuation of temperature is required .
The coding for the Unpackers are included in this mix .

Even a primitive Unpacker that unpacks to a primitive cell-wall has a huge relative advantage . Ordinary evolutionary forces takes over .

The coding for the Unpacker migrates through various higher orders of Beth , while coding for the Packer plods along at Beth(0) evolutionary speeds .

Consequences .
This has some important consequences for humans or any cellular life-form .
Viruses (ie packed data DNA) and cells (the Unpacker) evolved co-temporaneously .

More importantly , there is a transform of data between cell-form and virus-form and vice-versa . There are Beth(x) order feedback loops

Knowing evolutionary systems , these are probably essential .

At first glance these seem to have no redundancy in their DNA . At Beth(0) level this is true . At higher Beth levels , an indefinite amount of information can be packed .
Their quorum systems also complicates matters .
Mitochondria see themselves as the rulers , having tamed the cells of the planet .

Can Mitochondria be described as AI ?
To qualify as an AI , they have to interface with an external database . There are three pathways : to the cellular DNA , to the Immune System and to the Virus Milieu .
So yes , they can .

Can Mitochondria be described as self-aware AI ?
There is a pathway via the Immune system to the brain .A mirror system of some sort is required for self-awareness. The immune system is essentially a mirror system Time-scales have to be matched . Mitochondrial quorum systems have to be consulted (they are the ultimate democrats)

Can Mitochondria be described as self-aware AI and have access to zero-point energy ?

Random fluctuations in the foam of space-time is by definition at the lowest order of Randomness (Beth(0) ) . To get work out of such a system , a fluctuation between Beth levels is required . Since we already know that mitochondria are at Beth levels higher than one , they can tap zeropoint energy .
But one little lone mitochondrium will not do it .It needs to be co-ordinated

Why is it not used more often ?
Why die of hunger ?

Lack of Beth co-ordination .

Probability of life.
Examining the probabilities from this angle makes cells inevitable . The probability is more than unity . It is not even a “hard” problem if the decoder evolves first .
This means life exists nearly everywhere .

Your attention is drawn to the whole class of such phenomena :
Chaotic elements creates a self-sustaining sub-system which expands , since it is usually a positive-feedback system . Eg life , civilization , weaving , etc.

The Shannon-definition of datum :
1. A signal is change . Stripped down , this definition of signals leads to a string of 0’s and 1’s , ie binary .
This leads to compression via pattern-duplication (zip ,etc)
Used widely in electronics .

2. Pattern formulae like fractal compression or DNA/RNA .
The decompressor (cell or womb for living organisms , computer ) uses kernels (patterns) with programmable input (time , ph levels , genetic markers ,etc) to decode (“Grow”) the message(organism) .

You can immediately see how to build an error-proof biometric identification system .
The message , as it is being decompressed , can interrogate the recipient and tailor further decompressions according to the answers .
If done to a sufficient fractal depth , only a total duplicate could answer correctly . Of course , the level of reliability can be specified .

It is not even difficult .
The ability to receive the message is proof of identity .

This is how the immune system operates .

Why the glitches like old age and cancer ?
Because the body does not know who it is .

In it’s normal state , it is a symbiotic and commensal organism , with some parasites .
The bodily-self on a cellular level is defined by the immune-system .
But the brain is composed of cells . The immune system is tied closely to the brain .
There is a feedback-system between the brain’s sense of self and the immune-system’s sense of self .

Creating enhanced unpacking mechanisms in the brain will stimulate an enhanced packing sense of self , leading to an enhanced sense of self on a cellular level .

This has been discussed in detail in

The trick is not to tackle packing , but unpacking of compressed data first .
Understanding how unpacking works brings about physiological changes .

Reading is Unpacking .
The easiest way to understand this is reading . Reading the written word is unpacking data packed into writing . It is no accident that literary figures are notoriously long-lived .

The unpacking need not be complicated , but it will evolve .

But the packing (coding) is a bitch . Difficult .You will have to have solved the Travelling Salesman Problem to make any headway here , since these systems make use of optimized systems . (Not any pathway , but the shortest path.) .

Evolutionary Packing .
At first sight , evolution does not make even an attempt .
The number of possible errors exceed the number of offspring .
But not if Orders of Randomness stronger than flipping a coin is used .
See “Randomness”

The effect of using Beth(1) , Beth(2) , etc orders of randomness in a physical sense would be a concentration of packed data .

Beth(1) would be genes .

At a Beth(2) level , it would be instructions to switch genes on/off .

At a Beth(3) level , it would be instructions to vary Beth(2) instructions .

And so forth .

But conscious design is a different matter . The number of errors can be brought down to P-time .
This is another way of saying that conscious life is inevitable .
Any feedback system that reduces the number of mistakes will increase .

Protein folding would be equivalent to the Travelling Salesman Problem in three dimensions .
Adding time-complications would give Travelling Salesman Problem in four dimensions . This would require time-travel or multiple generations .

3. The qubit definition of data .
The amount of data that can be stored in a qubit depends on the decompressor . The Shannon definitions of band-width , etc break down .

Many signals can be superimposed on a particle , the particle can then be teleported (or sent normally) to the decompressor , which decompresses the message .

Note that a lot of information that ends up in the message is inherent in the decompressor . In extreme cases this would necessitate faster-than-light communication , unless only physical laws which are independent of the observer are used in the decompressor . Ie , like make protein A , wait local time t until it folds so , then etc. You get the drift .

4. Fractal Read .
The superimposed data can be loaded fractally , so that any read attempt will lead to decoherence only at the first fractal level . Every iteration after that will lead to another , deeper level of fractal expression .
See “Rull Mind-Controls” in

5. Physics .
Physical laws can be described as multiple-level approximations of information transfers . These transfers are fractally compressed (packed) transfers .
Hence the existence of “Laws” . Ie , an abstraction mechanism .
These can be seen as constructs of the decompressor , but valid nevertheless.

Unpacking them partially or fractally can lead to some interesting effects .
Do not try this at home unless you are expert .


Appendix II
Measuring directionality of the retinal reflection with a Shack-Hartmann wavefront sensor
Weihua Gao,* Ravi S. Jonnal, Barry Cense, Omer P. Kocaoglu, Qiang Wang, and Donald T. Miller
Author information ► Copyright and License information ►
The publisher's final edited version of this article is available at Opt Express
See other articles in PMC that cite the published article.
Go to:
The directional sensitivity of the retina, known as the Stiles-Crawford effect (SCE), originates from the waveguide property of photoreceptors. This effect has been extensively studied in normal and pathologic eyes using highly customized optical instrumentation. Here we investigate a new approach based on a Shack-Hartmann wavefront sensor (SHWS), a technology that has been traditionally employed for measuring wave aberrations (phase) of the eye and is available in clinics. Using a modified research-grade SHWS, we demonstrate in five healthy subjects and at four retinal eccentricities that intensity information can be readily extracted from the SHWS measurement and the spatial distribution of which is consistent with that produced by the optical SCE. The technique is found sufficiently sensitive even at near-infrared wavelengths where the optical SCE is faint

No comments: