Radiesthesia (dowsing or bio-tensor), also referred to as bio-tensor, is the practice of sensing vibrational frequencies with pendulums to detect invisible energy fields and balance them using energetic commands.
Every animate body gives off an individual hue which serves to identify it, which medical radiesthesia uses to detect diseases and identify their associated remedies.
Chart A
This 14 x 14 cm chart features stunning designs crafted from durable PVC, representing energy patterns believed to have an influence on both people and their environments. Specifically intended to aid practice of radionics (radiesthesia and radionics combined), an energetic science often mistaken for black magic.
Colonel Archdale took great pains to introduce radiesthesia in its most straightforward form to novice students without diving too deeply into its subfields of geology, minerology and medicine; leaving this task for those more knowledgeable than him. Additionally, he sought to clearly distinguish amongst all forms of dowsing methods available today.
This chart can be used for many different applications, including Teleradiesthesia (pendulum healing at a distance). With clear instructions and straightforward dowsing commands, this durable laminated chart offers extended use and longevity of use.
Chart C
Contrasting with X and R charts, which focus on measuring quantifiable quantities, c charts are designed for attribute data (counting type).
C charts may also be effective tools for tracking OSHA recordable injuries in a plant. Here, the opportunity for defects is high while their actual number remains small – in order to make such charts useful, the operational definitions of defects must be clearly set forth (for more on variation issues please refer to my January 2004 publication available on this site).
There are different SPC charts designed to handle various kinds of data. A P chart, for instance, works well when an attribute’s proportion can be summarized while an np chart excels when dealing with count data when sample sizes remain constant.
Chart D
The D Chart, developed by researchers in Glasgow to assess the degree and location of metamorphopsia in the central visual field, is an innovative clinical test created by researchers there to measure it more easily than current methods such as Amsler charts which are non-quantitative or those which require good visual acuity or costly equipment. Thomson Software Solutions modified it so it runs on PCs instead, significantly decreasing measurement time while adding various other features and benefits that increase efficiency of testing.
Chart G
The G Chart is an effective way of tracking rare events such as infections or surgical complications that recur at low rates, like infections or complications following surgery. As these recurrence frequencies tend to be low, traditional attribute charts such as P or c control charts may not provide adequate monitoring due to needing large subgroup sizes to establish accurate control limits.
This month’s newsletter focused on how the g Chart can assist with this problem. If you have data such as medication errors or times between events that need to be visualized, select Stat > Control Charts (SPC). Drag both data files and date variables to their respective drop zones within this tool and click OK; annotations will then be saved against your template/ticker combination.
Chart H
The H-Chart is useful when you need to plot multiple categories/dimensions without compromising readability. As a variation of slope charts, it allows the relationship between neighboring dimensions to be seen step-by-step. Unfortunately, however, its difficult reading makes it impractical for use and should only be employed if your data cannot fit any other format; its main use cases would include showing differences in demographic gaps in pay as well as between different equipment types.
