CORONAVIRUS TRICKS THE BODY INTO FEELING OKAY
A recent NYT article3 suggests Covid-19 Virus tricks the body into feeling okay when it is really dying from severe lack of oxygen, a condition that can be called silent hypoxia. This occurs because the lungs initially expel carbon dioxide (CO2), a product of normal metabolism, better than they transfer oxygen to the blood. It is only the buildup of CO2 that makes us feel the need to breath and drives normal respiration. A graphic example is if one breathes helium to get that special Mickey Mouse sounding voice that everyone laughs at. Helium is inert and is not metabolized, so CO2 does not build up. There is no feeling of suffocation and unconsciousness or even death can result unless normal air is breathed.
Entropy, Predictability and Post-Quantum RNG Design
The emergence of quantum computers and potential quantum eavesdropping may make many of the current methods of encryption and information security obsolete within a very few years [MOS15, NI16a]. A clear understanding of the fundamentals of randomness and random number generators is required to address the ever-changing needs of security designers. The proper use of entropy can make certain “chaotic” generators as unpredictable as any quantum RNG, while typically used deterministic post processing methods can result in an overestimation of nondeterminism. Post-quantum randomness may also need to take into account quantum nonlocality, which puts special new requirements on the design of random number generators.
Entropy Analysis and System Design for Quantum Random Number Generators in CMOS Integrated Circuits
A quantum random number generator is implemented in an integrated circuit without the need for complex, bulky and expensive measurement equipment and circuitry. Quantum entropy, chaotic entropy and pseudo-entropy are defined and their combinations mathematically described. Models and design equations are provided for estimating the quantum entropy in the form of shot noise due to sub-threshold leakage, gate tunneling leakage and junction tunneling leakage in MOS transistors and CMOS IC’s.
Advances in Mind-Matter Interaction Technology: Is 100 Percent Effect Size Possible?
Very high speed random number generators in conjunction with amplification algorithms can greatly enhance the measurements of anomalous effects and anomalous cognition. These measurements must be statistically significant and develop rapidly to become relevant and be useful in our everyday experience. Mathematical models based on a random-walk bias amplifier and experiments using GHz to THz true random bit generators hint at the possibility measurements of mentally-influenced outputs of these generators can produce results approaching 100 percent of the corresponding intended outcomes, and at trial rates around one to two per second. Our experiments indicate feedback of results should optimally occur within about a quarter of a second of the generation of each trial so a trend may be noticeable in just a few seconds. Further, it is important the effect size be above a threshold of about 4 to 5 percent – but preferably much higher – to be psychologically “impressive.”
Intelligence Gathering Using Enhanced Anomalous Cognition
The capability to gather and correctly interpret hidden information is a critical resource to gaining and maintaining an advantage in any highly competitive environment. Methods are described which employ trained operators utilizing objective electronic equipment to obtain information that is hidden or not inferable from known data. The equipment contains quantum mechanical elements, which respond directly to the operators’ visualized outcome, producing a type of machine-enhanced cognition. The cognition is anomalous because it is not limited by the classical constraints of sensing equipment or direct observation.
Machine-Enhanced Anomalous Cognition
For at least 45 years researchers have studied the statistical properties of electronic true random number generators for signs of anomalous mental phenomena. Research published over this period shows no significant increase in Effect Size or degree of mental influence, expressed in terms of a derived Information Rate. Methods are presented for increasing the Information Rate by 1,000 to 10,000 times previous levels by using a type of bias “amplifier” with a statistical efficiency approaching 100%, bringing Machine-Enhanced Anomalous Cognition into the realm of practical applications.