Abstract
We used our gas and fluorescence measurement methods (at four wavelengths) with cucumber pieces of Cucumis sativus 'white spine type' as a bio-sensor and found three different patterns of the bio-sensor responses to non-contact healing (bio-PK). Then, relationships among response patterns of the bio-sensor and healing ways were studied through categorical principal component analysis (CATPCA). The experimental part of the study was done in 2012 from February 27 to March 30 and June 30 to August 5 at the International Research Institute. Healers (2 males, 9 females; average age, 44.1 y) were recruited through a collaborator's list, the internet and social network systems. Healing power was measured by gas and fluorescence measurement methods. J value, which is the natural logarithm of the ratio of gas concentrations (or intensities of fluorescence) of experimental and control samples, was used as an index of the magnitude of healing power. Measured J values were calibrated by the simultaneous calibration technique (SCAT). Healers were instructed to increase the odor (gas) of the cucumber samples. Questionnaire A consisted of 26 items (H-items) to survey healing ways which were used during the trials. Questionnaire B consisted of 26 items (CL-items) to survey client's feelings and responses in usual situations. A combination of averages of gas and fluorescence J values was made for each trial. Next, their patterns were categorized by cluster analysis and CATPCA. Data combinations could be categorized into three patterns, labeled as I, II and III. Three ways of healing were related to three patterns of the sensor's response: (1) chakra-activating type, (2) DNA-rewriting (language-leading) type, and (3) energy-circulation-improving type. There was a competition between types (1) and (2), and (2) was inhibited by (3). This result was also supported by correspondence analysis. These findings were obtained through pattern analysis of multivariate data sets using J value. This strategy is useful to study the mechanism of bio-PK.
