The central tendency relationships between earthquakes, quantum fluctuations, and the human brain

Physical phenomena occur within a complex manifold of interactions from small scale quantum to large scale energies. These random interactions appear to conform to the central limit theorem, however prediction of these events suggest a non-local factor is typically involved. Data were compiled from a random number generator that utilizes quantum electron tunneling, a photomultiplier tube measuring background photon emissions (~10-11 W/m2), earthquakes recorded by USGS Advanced National Seismic System, and from a database of human electroencephalographic recordings. The data indicated temporal and spatial relationships, suggesting the causality of physical phenomena and the associated entropy conforms to the central limit theorem by means of variable distribution of occurrence.Master of Arts in Psychology (M.A.

Predicting Quantum Random Events from Background Photon Density Two Days Previously: Implications for Virtual-to-Matter Determinism and Changing the Future

Abstract. We tested the hypothesis that discrete energies from entropic-like processes immersed within background photon densities of ~10-11 W·m-2 were coupled to the occurrence of changes in random events that lead to specific consequences about two days later. This latency was obtained from the ratio of the summed equivalent energies associated with a Bohr electron divided by the value for the fluctuation of background photon density within the likely area of the gap junctions mediating the electron tunneling. Hourly values for 30 days for background photon densities and deviations on random number generators involved lags between 0 and 72 hours. Multiple regression equations indicated that deviations from random number variations were only correlated with photon densities approximately 48 hr (2 days) previously. Convergent quantitative values were consistent with source energies from virtual particles at the level of entropic thresholds. The delay of approximately two days between the emergent energies that influence an event and the manifestation of the event in physical time or the specious present suggest that technology could be developed to predict or modify actual events in real time.  Implications for causality and determinism are considered.

Similar Spectral Power Densities Within the Schumann Resonance and a Large Population of Quantitative Electroencephalographic Profiles: Supportive Evidence for Koenig and Pobachenko.

In 1954 and 1960 Koenig and his colleagues described the remarkable similarities of spectral power density profiles and patterns between the earth-ionosphere resonance and human brain activity which also share magnitudes for both electric field (mV/m) and magnetic field (pT) components. In 2006 Pobachenko and colleagues reported real time coherence between variations in the Schumann and brain activity spectra within the 6-16 Hz band for a small sample. We examined the ratios of the average potential differences (~3 μV) obtained by whole brain quantitative electroencephalography (QEEG) between rostral-caudal and left-right (hemispheric) comparisons of 238 measurements from 184 individuals over a 3.5 year period. Spectral densities for the rostral-caudal axis revealed a powerful peak at 10.25 Hz while the left-right peak was 1.95 Hz with beat-differences of ~7.5 to 8 Hz. When global cerebral measures were employed, the first (7-8 Hz), second (13-14 Hz) and third (19-20 Hz) harmonics of the Schumann resonances were discernable in averaged QEEG profiles in some but not all participants. The intensity of the endogenous Schumann resonance was related to the 'best-of-fitness' of the traditional 4-class microstate model. Additional measurements demonstrated real-time coherence for durations approximating microstates in spectral power density variations between Schumann frequencies measured in Sudbury, Canada and Cumiana, Italy with the QEEGs of local subjects. Our results confirm the measurements reported by earlier researchers that demonstrated unexpected similarities in the spectral patterns and strengths of electromagnetic fields generated by the human brain and the earth-ionospheric cavity

Local Harmonic Synchrony.

<p>Cross-channel coherence between the caudal root-mean-square derivation and extremely low-frequency electromagnetic activity recorded simultaneously in Sudbury, Canada for one male and one female measured on separate days. Evident in this time-frequency analysis is harmonic synchrony occurring between brain electrical activity and atmospheric ‘noise’ at approximately 8, 13 and 20 Hz which define the first three harmonics of the Schumann resonance.</p

Rostral-Caudal Correlation.

<p>Scattergram of the correlation (r = 0.82) between the discrete potential difference values for the caudal-rostral vs left-right potential differences.</p

Rostral-Caudal and Left-Right Individual Differences.

<p>Means of the z-scores of the spectral density (μV²·Hz^-1) of the measurements as a function of frequency for the rostral-caudal and left-right measurements.</p

Individual Electroencephalographic Schumann Resonance Profiles.

<p>Log of spectral density of various frequencies reflecting the Schumann resonance for all 237 records.</p

Non-local Harmonic Synchrony.

<p>Similar harmonic synchrony between extremely low-frequency atmospheric noise measured in Cumiana, Italy and brain electrical activity measured in Sudbury, Canada at 8, 13, and 20 Hz for two subjects (1 male and 1 female) measured on a different day.</p

Averaged Schumann Resonance Profiles.

<p>Mean Log value of the spectral density for high and low intensity subjects as a function of frequency for the rostral, middle, and caudal regions of the cerebrums. Note the peaks at the fundamental Schumann resonance (first harmonic) as well as the second (about 14 Hz) and third (about 20 Hz) harmonics.</p

Variance explained of all classic microstates as a function of the intensity of the Schumann resonance (first three harmonics) within the EEG.

<p>N indicates numbers of records per <i>post hoc</i> group.</p