Author(s)

Nicolas Rouleau, Trevor N. Carniello, Michael A. Persinger

Biomolecular Sciences Program, Laurentian University, Sudbury, Canada.

Excess correlations, one of the quantitative demonstrations of “entanglement”, have been experimentally demonstrated as spontaneous shifts in photon properties and molecular interactions. The magnitudes of the excess correlations have been enhanced experimentally for photon emissions and proton densities in aqueous solutions when the loci containing these physical chemical reactions shared circular magnetic fields whose angular velocities were always changing. In the present experiment, quantities of spring water each placed in one of two loci (local or non-local) separated by 100 or 10,000 m were exposed simultaneously to toroidal magnetic fields within a paradigm that has been shown to produce conspicuous excess correlations in shifts of photon emissions, pH in spring water, and human brain activity as inferred by electroencephalography. The non-local area that was not injected with proton donors displayed a reliable shift in pH when the local area was serially injected with small aliquots of protons but only during the presentations of the field parameters known to produce “entanglement”. The effect was most obvious when the global geomagnetic activity was less than Kp < 3. The probability is high that convergent similarities in the magnitudes of the local geomagnetic intensities of the two loci enhance the strength of the excess correlations. These results suggest that a minimal energy and inexpensive system, not involving classical electromagnetic transmission through a medium, but influenced by the global geomagnetic field activity, could be employed to generalize and superpose information between two non-local spaces.

Excess Correlation, Water, Toroids, Geomagnetic Activity, Signal Detection

Rouleau, N. , Carniello, T. and Persinger, M. (2016) Identifying Factors Which Contribute to the Magnitude of Excess Correlations between Magnetic Field-Paired Volumes of Water. Journal of Signal and Information Processing, 7, 136-147. doi: 10.4236/jsip.2016.73014.