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Clinical Electric Field Measurements; In situ pre and post treatment measurement data with weather and space-weather, lunar and solar data, with self-reported pain and significance scales, in three phases of experimentation

November 2018

Authors:

University of Kentucky

Magnetic Fields have not provided on-the-fly diagnostic ability for alternative and traditional practitioners and doctors because it is Electric Fields which hold the key to our understanding of disease, especially those carried by environmental effects. In this experiment, three trials were conducted over a year's time, looking at the possibility of charge-related neural immunocompromised states, the effects of weather, sun, and moon. Sample sizes were robust enough to establish low standard deviation for the treatment efficacy (0.24/10) in self-reported ordinal pain and significance single-case data. Results show clear relationships between Electric Fields at local complaint sites, and change in pain reporting, and in all trials maintains an overunity ratio while all controls remain underunity. Various types of controls were introduced to eliminate noise and interference and human error. Results showed staggering potential, and indeed unexpected possible correlations that demand three different trials as a follow-up. In this paper the full hypothesis is explained as well as the designs, controls, and criticisms to the approach and theory are provided. This work is important because for the first time Chinese Medicine, particularly acupuncture stands upon hard physics and not subjective data or "sham" controls which are fraught with criticisms even when they demonstrate interesting correlations. The efficacy of the medicine is proved through three trials as a side-note, despite problems with self-reported data (in general). Gender is considered as well as alternative modalities, though sample size for tuina, guasha, and cupping were not significant in enough of the experiment to be considered conclusive. Solar wind density and speed data, solar flare data, and moon phase data show intriguing correlations between pain reporting, particularly change in pain during a single session. Moving averages show relationships between solar wind density, moon phase, and dPx. Potential explanations dwell on the power of protons in dendritic pathways to disrupt normal action potential behaviors.

Phase comparison of mean deltas, and mean of 3 phases, and standard deviations 10

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Sample Information and Modes for Age, Wind Speed, and Temperature through Phase 3

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Looking at the validity of Pain Self-reporting: sd of Px_initial = 6.4% of mean Measurements taken indoors at all times. For Phase 3, in Berea location as in Lexington the same room was used for all the samples.

…

Standard Deviations of Maximum deltas far exceed the deviations for pain or E-field measurements 15

…

+30

Regression and trendline modeling for tightened controls indicate possible crossing point

…

Figures - uploaded by Angel Careaga

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Content uploaded by Angel Careaga

Content may be subject to copyright.

Clinical Electric Field Measurements

In situ pre and post treatment measurement data with weather and

space-weather, lunar and solar data, with self-reported pain and significance

scales, in three phases of experimentation.

Sf. R. Careaga, BSEE, MSTOM

Blue Lotus Health & Acupuncture, Lexington, KY, USA

November 21, 2018

ABSTRACT

Magnetic Fields have not provided on-the-fly diagnostic ability for alternative and traditional

practitioners and doctors because it is Electric Fields which hold the key to our understanding of disease,

especially those carried by environmental effects. In this experiment, three trials were conducted over a

year’s time, looking at the possibility of charge-related neural immunocompromised states, the effects of

weather, sun, and moon. Sample sizes were robust enough to establish low standard deviation for the

treatment efficacy (0.24/10) in self-reported ordinal pain and significance single-case data. Results show

clear relationships between Electric Fields at local complaint sites, and change in pain reporting, and in all

trials maintains an overunity ratio while all controls remain underunity. Various types of controls were

introduced to eliminate noise and interference and human error. Results showed staggering potential, and

indeed unexpected possible correlations that demand three different trials as a follow-up. In this paper the

full hypothesis is explained as well as the designs, controls, and criticisms to the approach and theory are

provided.

This work is important because for the first time Chinese Medicine, particularly acupuncture stands

upon hard physics and not subjective data or “sham” controls which are fraught with criticisms even when

they demonstrate interesting correlations. The efficacy of the medicine is proved through three trials as a

side-note, despite problems with self-reported data (in general). Gender is considered as well as alternative

modalities, though sample size for tuina, guasha, and cupping were not significant in enough of the

experiment to be considered conclusive. Solar wind density and speed data, solar flare data, and moon phase

data show intriguing correlations between pain reporting, particularly change in pain during a single session.

Moving averages show relationships between solar wind density, moon phase, and dPx. Potential

explanations dwell on the power of protons in dendritic pathways to disrupt normal action potential

behaviors.

Key-words: Solar Wind - Moon - Electric Fields - Pain - Weather - Flares - Autoimmune

Produced in association with: TesLAB, LLC

ΣSLΛβT

Complete Analysis

Introduction: Hypotheses

While pursuing the source of the Chinese Medicine (TCM) saying, “Wind is the carrier/source of 10,000

diseases,” the author was simultaneously contemplating a previous hypothesis about Qi (氣) which involves

1 2

supposed “magnetic scalar waves” while learning about cosmic rays, and solar forcing data. The author’s

intuition kicked in. “What if charges could become trapped in tissue, particularly nerve tissue?” After acquiring

the Trifield 100XE, the author made a test of the idea that “Qi could be charge (Q)” in clinic. Many types of

interference interrupted those early observations. It soon became clear that while negative charges cannot be

definitively proven to be positive Qi (zhengqi), instead another exciting observation developed…. many chief

complaints presented demonstrated elevated electrical fields, often over 5 V/m etc… The author began to

notice as well that, in most cases, post treatment the E-field (but not the magnetic (B) field) would return to 0

V/m.

The first phase of the experiment set out to test this correlation to determine if there was plausible

causation. The hypothesis being twofold: (1) that charge indicated disease presence or some other alteration

of normal neural behavior, and (2) if an E-field measurement was a reliable indicator of the presence of

“negative energy” (bingqi) which could be used as a diagnostic tool in the detection and reduction of

symptoms.

The results from Phase 1 were promising enough to justify a second trial. The concerns that arose out

of room interference and the author’s concerns over static electricity gathered from walking across the carpet

combined with a third concern: could atmospheric conditions alter not only the treatment results but the E-field

(Ef) results? In short: did weather matter? A series of controls were established, but also new variables or

problems were introduced. However, the results, though slightly more sober (~2 V/m less in deltaE on

average), the controls clearly demonstrated the confirmation of Phase 1’s second hypothesis.

Secondly, in both phases 1 and 2, max changes were measured, and in this there was an expectation

of an increased max deltaE (dE). This was not the case.

But, the hypothesis regarding weather effects was suggestive enough to warrant a third phase of

experimentation. Firstly the sample size had been large overall, but not large enough per type of weather.

Unfortunately, the timing of Phase 3 has not remedied this issue, but it did not affect Phase 3. Future study

specifically on weather conditions will be useful for a clarification.

The author was interested in the variation of Ef from the door to the room. A second identical model

Trifield was employed to make measurements on tile (pre-carpet) after entering from the outside. So the

controls were the following: (1) measurements pre-carpet by secondary helper, (2) same non-cc control

measurement in room as Phase 1, (3) same random “placebo” measurements also randomly assigned to

several of the cases. Unfortunately, double-blinding is not possible in this type of intervention study, nor is it

necessary or relevant. It would probably be unhelpful as data shows that the efficacy of the treatment is

1 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5234349/

2 Pronounced “ch’ee” (Vital Breath/Energy/Life-force); Original meaning 本义: Meaning steam from food.

http://hanziyuan.net/#%E6%B0%A3

3 https://www.academia.edu/8547496/Scalar_Magnetic_Waves_and_Qi_a_first_draft_of_a_hypothesis ; officially redacted

under EPEMC by author (though originally was only offered as a hypothesis, and was never an assertion, and it remains

untested)

4 Ie - “inflammation” (for all practical purposes); perhaps immunocompromised cells.

affected by patient-practitioner interaction . Rather, the reliability of the device itself must account for error.

However, obviously variations in measurement distance from tissue remain a constant issue. Luckily, electric

fields carry energy very efficiently even through air and within 1-2 inches is “good enough” since the Trifield is

analog and not precise enough to measure beyond a standard deviation of +/- 2 V/m .

Thirdly, the effects of the moon needed to be cross-correlated with weather and solar data. Once the

Var_mag (variability magnitude) data made it clear that condition and weather condition variability had a drastic

effect on the Ef (but not on the Bf), a third phase of experimentation was constructed around a different method

of controls (see next part). The hypothesis from Phase 1 and 2 were seeking confirmation under stricter

controls, such as precise cc naming using ICD-10, and a last hypothesis would be tested regarding the solar

wind. “Does the solar wind/solar forcing effect self reported pain changes or Ef or Bf delta?” The unique results

from Phase 2 regarding the cc would be able to be remeasured, as well as the weather, but more importantly,

the unexpected correlations of different Ef delta between the types of modalities used. Once again, too few

samples of cupping or guasha were available to confirm the data from Phase 2. However, as these are not of

primary concern, it was not crippling to the success or failure in Phase 3.

Each stage of experimentation provided unique alterations to the original hypothesis, and confirmations

as well as rejections. Although none of it has as of yet, involved the testing of “scalar magnetic waves,” the

experiment has fulfilled the original curiosities and yielded even more exciting data to warrant further study.

Magnetics has long been both touted and ridiculed as therapeutic related. However, precise enough

measurements that can ignore the normal “noise” of the Earth’s own magnetosphere and various building

interferences has not been demonstrated here. Still, in Phase 3 some interesting Bf results were found, which

indicate that a calmed nervous system, as predicted, results in a reduction of Bf. This may mean that medical

devices which combine the best measurements of all the modes (and more), combined into a reliable image,

will be of use to the therapist. But, as of yet, it is not found to be 100% correlated in the same way that Ef is.

Furthermore the author wants to stress that the hypothesis that charges are becoming lodged in nerves

and tissues (channels - jing-luo 經絡) as is suggested by the TCM (zhongyi 中醫) theory of “pores” cannot be

definitively proven without a very meticulous two step process of (1) highly controlled biopsy of selectively

determined tissues without draining charge via grounding and (2) microscopy of affected nerves to determine if

there are cellular changes, as predicted in TCM description of processes, such as ying (營) & wei (維)

separation .

7 8

Although this cannot be definitively proven at this time, with this level of equipment, the results, based

on Solar Wind Density (SWD) (protons/cm

) are highly compelling. A further study of just SWD as compared

with changes in self-reported pain/significance and ICD-10 values will be performed, with an increased sample

size.

5 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3981763/

6 Indeed the author asserts 1 V/m is more possible, but Phase 3 standard deviations ran much, much higher, making it

irrelevant.

7 That is: the nutritive/plasma/controller aspect of the immune system and the defense/attack/macrophage portion.

https://www.acupuncturetoday.com/mpacms/at/article.php?id=28351

8 https://www.researchgate.net/publication/51553731_Study_on_meridians_and_collaterals_through_ying-qi_and_wei-qi

9 To improve the moving average and because nearly half of patients are reporting on musculo-skeletal (TMM) conditions

(Mxx) and it is desired to have a far better 10+ sample rate for all the various non-TMM conditions.

Design

Brief Explanation

The experimental trials utilize an analog electromagnetometer called the Trifield 100XE. It has received

numerous excellent reviews from the public and engineers alike. It is extremely reliable and sturdy. It is,

however, block-shaped. For this experiment, measurements were take with the dial facing upward and the top

surface facing the skin tissue, and held .5-1.5” away. Measurements were, necessarily, “eye readings” which

are notoriously difficult to prove precision.

Treatments given were a mixture. This entire experiment was not designed to prove TCM efficacy.

Efficacy is assumed based on the author’s solid reputation of thousands of cases and perfect reviews, as well

as a gold standard education at one of the nation’s most prestigious campuses. Efficacy proved, for all three

trials to remain within a narrow margin of each other (standard deviation of 0.24 based on delta values).

Figure 1: Phase comparison of mean deltas, and mean of 3 phases, and standard deviations

10 http://bit.ly/2CvNxQp

Figure 2: Looking at the validity of Pain Self-reporting: sd of Px_initial = 6.4% of mean

Measurements taken indoors at all times. For Phase 3, in Berea location as in Lexington the same

room was used for all the samples.

Figure 3: Phase 3 Sample breakdown by location

Further location analysis of Magnetic Field differences will be found in Critiques and Errors (below.)

11 http://bit.ly/2yeWn1j

Equipment specs

The primary non-medical, electrical equipment for this experiment was the TriField Meter 100XE, and a

typical E-stim device. Values for electrical stimulation were not recorded, as the goal was to simply see if

introducing electricity changed either efficacy or electromagnetic values by some unknown process of charge

movement. Given that the electricity was to remain in a circuit, the expectation was no major statistical

difference should be observed. However, this was not the case, and it

must be concluded that the effect of electro-stimulation has profound

implications for leaving charge within the body, which would be

anti-therapeutic according to the Phase 1 secondary hypothesis. More

below.

Suffice it to say, the individual specs of the E-stim devices are

unnecessary. But they are listed anyway below Figure 4.

Figure 4: typical E-stim II device

➢Specifications : 500 ohm test load

➢Output Channels: 2 independent intensity channels

➢Frequency: 1 to 100 Hz, flashing LED

➢Volts and current: Microcurrent:0 to 1 volts, 0 to 2,000 µA (2mA)

➢TENS: 0 to 20 volts, 0 to 40 mA

➢Pulse width: 280 microseconds (µS)

➢Pulse shape: asymmetric biphasic square wave

➢Pulse modes: continuous

➢Power indication: flashing LED, each channel

➢Power source: 9 volt battery

➢Low power indication: yellow LED light

➢1 milli-amp (mA) = 1,000 microamp (µA)= 0.001 amp

Below are both the image and specifications of the 100XE. To reiterate, the top of the device as it

faces the practitioner (the black side), was held

perpendicular to the skin tissue in every case, as

opposed to the bottom (larger) portion of the device.

Figure 5 - Trifield 100XE

Future experiments would rely upon a digital meter,

which are more costly.

12 https://www.smeincusa.com/sme/e-stim-ii.html

13 https://www.trifield.com/product/trifield-meter-model-100xe/

➢AC Magnetic Fields: (3-axis; shows true magnitude)

➢Frequency Range: 40 Hz – 100 KHz (see frequency weighting)

➢Accuracy @ 60 Hz (50 Hz): +/- 20% of reading

➢Range/Resolution (@ 60 Hz or 50 Hz):100 milligauss / 0.2 milligauss

➢Sensitivity is proportional to frequency from 40 Hz to 500 Hz; flat from 500 Hz to 2000 Hz

➢AC Electric Fields: (3-axis; however, note that E-field is affected by the body position)

➢Frequency Range: 40 Hz – 100 K Hz (see frequency weighting)

➢Accuracy @ 60 Hz (50 Hz): +/- 30% of reading

➢Range/Resolution: 1000 V/m / 5 V/m (Original Version: 100 KV/m / 0.5 KV/m)

➢Frequency Weighting: Same as magnetic (above)

➢Frequency Range: 50 MHz – 3000 MHz (3 GHz)

➢Meter Size: 5.0 x 2.6 x 2.4 in ; 129 x 67 x 62 mm

All needles, cups, oils, etc… used were typical to the industry and no more conductive or insulating than

would be expected. They were not large gauge, and their ranges were always between 0.20-0.24mm needle

diameters. Guasha implementations are also industry standard devices. No moxa was used in this experiment in

any trial.

Phase 1 Design

Sample size: 50

Figure 6: Gender demographics for Phase 1

14 http://bit.ly/2CvzKJJ

Phase 1 is simple enough. The patient provides their age, gender (Other was optional, but 0 reported

“other” in any of the three trials) and their chief complaint (cc). They indicated from 1 to 10 how serious their

condition was (either pain or significance), with 10 being “the worst ever imaginable.” The indicated site was

measured with the Trifield 100XE, along with (usually an opposite side) a control. Also a maximum Ef signal

was searched for (again maintaining .5-2” distance from body). Another control (generally an “average” or “eye

reading” of the device for the body anywhere was also recorded). At the end the cc and self reported pain were

taken, but not the control or avg. The interest in the maximum was to establish how the standard deviations

would not exceed the maximums in these experiments. Controls not being re-measured, and the use of a 1 to

10 scale were partly the reasons for the stricter re-design in Phase 2 trial. This being a trial designed to

generate veracity but not prove definitively, it was not considered absolutely vital. The author had also to

consider the patient’s time and patience for the intrusive new method. In later trials, these were not factors, and

indeed patients proved to be very interested in the process.

As a note, referring to Figure 2, and Figure 7, the author would like to point out that the typical pain drop

averaged 45% with a standard deviation of 0.24, or 8.91% of mean dPx (4.85% of Px_initial). These are

phenomenal results, and probably above par for TCM in general, as compared with the research. The author

will not push the point to say that the data indicates better potency than typical for the industry, but will simply

insist that the efficacy of TCM in general is very good. But, probably this average drop will depend highly on the

types of conditions. That data will not be presented as this study is not about TCM efficacy specifically.

However, it very well could be done, considering the high standard deviation. It is easier to discount the

self-reporting numbers as coming from notoriously unreliable methods (through a dialectic attack of patient

reliability and honesty), than to attack the TCM itself. The standard deviation of the % change (%var) for all

three phases was an astounding 1.51%!

Figure 7: Standard Deviations of Maximum deltas far exceed the deviations for pain or E-field measurements

15 http://bit.ly/2Ec5aX7

Criticisms

Although the standard deviation of the maximum far outstrips the dE mean, the sd_dE indicates the

need for tighter controls.

Three sources of room interference were noted to contribute errors in measurement:

1. Overhead lights (minimal)

2. Cell-phones left in pockets (minimal to medium)

3. Table warmers, even plugged in (maximal)

The design for Phase 1 is not robust , and untrustworthy. The data is limited. The sample size was cut

off at 50 to enable a first analysis to determine validity to continue to a better trial. The criteria of possible

correlation was proved (See Phase 1 Results). But otherwise the data is unreliable for the meter

measurements. Pain scales are reliable, as discussed above. But results are included herein in comparisons

for completion. Very likely they skew the mean of the 3 phases unreasonably . The most likely source of error

are overhead lights left on.

A criticism can be levied at the imprecision of the analog equipment, which is fair and necessary. The

author indicates that the primary choice for the analog device was due to price and reliability (trust in analog

measurements). But, in future measurements, digital measurements are expected as part of a tighter control

process. Given that the tighter controls each trial resulted in a drop in average dE for cc, it is not unreasonable

to think that the dE might continue to drop to a statistically irrelevant value, that is as stipulated in this

experiment when:

dP x ≤ 1 (1)

In the comparisons, several log-scaled graphs utilize equation (1) as an indicator of positive control

confirmation. So what if the dE drops below 45% (which, as indicated, is a reliable measure of self-reporting

delta variability)? Then it must be assumed that the interesting results hinted in the Solar Data (see below)

regarding Solar Wind Density (SWD) are more important than Ef measurementation, and this would totally

invalidate hypothesis 1.2, but not necessarily the original hypothetical inquiry, “do charges get stuck in nerves?”

The answer could be that all TCM modalities help reduce proton load in individuals at an average rate of 45%

per single session. Still spectacular. Given that Ef for protons specifically could be used, it would require a

tinkering with equipment to create a positive confirmation of this alteration of the original hypothesis.

16 In Phase 3 there was one case of an abnormally high magnetic field measurement. It also has skewed the mean data.

However that case really was an uncontrollably high measurement, and all attempts to eliminate interference did not

eliminate it. It is possible that it was a true nerve-induced physical anomaly, and its measurement is included in the 112

samples.

Figure 8: Regression and trendline modeling for tightened controls indicate possible crossing point

However, it is equally possible, that since the more active electrical period of the year (for static) is in

fall and winter, that the tightening was coincidental to the more clear data seen in Phase 3 for both weather

and space weather. It may be that an exact repeat of Phase 3, during winter, would (as the author expects)

show an increase of dE towards the Phase 2 value.

But, also, perhaps human habit is the issue, Phase 2’s helpers or room controls broke down and Phase

2 should be at Phase 3 levels, which still show a >100% ratio and far above control statistical correlations, but

nothing spectacular as indicated in Phase 1, which has already been stated to be unreliable.

Error Margins

The author has already given the specifics of standard deviations for the devices. However, it bears

repeating that some error margins might not be taken into account. Firstly, the device can be read at the

nearest 5V/m, but by utilizing “eye-measurement” can actually be read to 1-2 V/mspecificity. The standard

deviation seems to indicate an error as high as 6C, but that’s not possible. It should be recognized that, in fact,

the standard deviation of the Ef is not a measure of quality but of possibility . So for a measurement that is very

clearly 4V/m, it could be 2 or 6 V/m, with an R

=.996 one could argue 1 V/m or 7 V/m, but according to the

manufacturer the error is 30%, which would be 2.8 or 5.2 V/m, well within the 2-6 range. The author insists that

the manufacturer’s range is better and reliable enough.

Another factor to consider, which only became clear in Phase 3, is that sometimes a 0 V/m reading

might actually be 1V/m, or a 1V/m might be a 0V/m, depending upon the orientation of the device to north or

south.It begs the question is this related to the room arrangement, the magnetosphere, the building wiring, or a

circuitry relationship between the practitioner and the patient being insulated from ground? It is not known at

this time. But, since this 1 V/m error margin matches the eye-sight margin and is less than the standard

deviation by a wide margin, it is not considered to be a significant detractor from the experiment, let alone the

results.

There are also unknown errors that have been introduced from the environment, such as static,

weather, wiring, etc… In an ideal environment the entire experiment would be conducted in an outdoors

enclosure such as a sun porch (on clear days except in phase 2 and 3 where weather is considered). Or

perhaps in a “clean room” with grounding equipment to remove static.

Phase 2 Design

Sample Size: 133

Figure 9: Gender Demographics for Phase 2

Phase 2 was designed around a different curiosity and premise. The curiosity was whether or not

weather influenced the results from the experiment. There were three new design parameters, and a change to

the pain self-reporting scale from 1-10 to 0-10, as some patient reported a post treatment pain/significance of

0, which was not anticipated in Phase 1.

The first change was to also record the post treatment control and max, in order to find delta values

and averages for both of those.

The second was to include a control in the form of a door-to-room measurement. The door

measurement and room measurement were performed by different people (the assistants and the author,

respectively). The assistants were to inquire as to the chief complaint region, and to measure within the same

parameters as the phase 1. They also collected the latest weather and moon data. Then the patient proceeded

from the tile, across the carpet to the room, where they would be remeasured at the same location, to check for

17 http://bit.ly/2PrurxO

static changes. Of course the electromagnetic environment of the room would also change. So in measuring

error, a new statistic, varMag was calculated to compare the deltas to look for statistical variation which would

address the carpet/static issue.

A final, third control was introduced via randomly choosing a patient to give a placebo measurement

(but not a placebo treatment). This enabled a comparison of control groups, control environment, and “live”

measurement.

Error Margins

In terms of error, much could be introduced here: assistant error, reporting error, measurement error,

electrical interference from phones and computers, lights, etc… Also, people might self-report a different

number to the assistants as to the practitioner, on account of trust. This would only be an issue in the post

treatment pain/significance self-reporting. The pre-treatment number was only recorded by the assistants.

There is also another issue of chief complaint vagueness which made Phase 2 less reliable than Phase

3, on account of lack of use of ICD-10 codes. However, it was interesting to see general lists of complaints and

compare demographics, and where sample sizes were large enough, trend differences for delta values

between different types of complaints (such as shoulder versus back pain, etc…)

The equipment remained the same for all 3 phases, so all the previous potential errors remain in effect,

unless specifically dealt with and otherwise stated.

Phase 3 Design

Sample Size: 112

Figure 10: Treatment by Gender Demographics for Phase 3

After the fascinating results of Phase 2 which showed possible differences in Ef results between

different modalities, the author was interested in creating a wide-ranging, multi-locale experiment, to compare

the results and verify if there was really a Ef delta difference in results between modalities. In short, there were

wide differences, although the cupping and guasha treatment samples were still far too low in number to be

conclusive. A longer, one year plus treatment sampling would need to take place to verify these numbers.

Figure 10 shows the average ages for each of the three major modalities and for male and female.

Figure 11: ICD-10 samples; Mxx codes refer to musculoskeletal pains, and make up the vast majority

18 http://bit.ly/2ObubGl

19 http://bit.ly/2Cw7A0Z

Figure 12: Samples divided by moon phase

Figure 13: Another way of looking at moon sampling, according to traditional beliefs about moon phases

20 http://bit.ly/2CAfztS

Figure 14: Moon sampling by modality

Moon sampling data is useful because it can demonstrate issues in sample size. For example, due to

the nature of pure coincidence, almost nobody was sampled on the exact day of First quarter, but for

Acupuncture several were sampled on Last Quarter. Note also that the majority of tuina results came from the

Waning Gibbon or New Moon or Waning Crescent. This may skew results, as it was found that tuina has

massive Ef delta measurements… but it was also found in Phase 2 and Phase 3 in that the Waning period

measures differently than the Waxing period. In other words, the Tuina results may be more effective during

the Waning Period. So although the author will use the tuina results, the author will not call them conclusive .

Meanwhile acupuncture and e-stim sampling was pretty well distributed, considering some of the “phases”

above are short, others are far longer periods of time.

In Phase 3 a new form of control was used, and the max measurement was abandoned. The max

measurement was abandoned because the standard deviation already indicates, pretty conclusively that Ef

values can vary by about the entire magnitude. As shown in Figure 8, it cannot be conclusively proven that this

isn’t a matter of improving controls, however, in actuality it reflects the situation as follows. Some people have

very high, unpredictably high, Ef pre-treatment values for their chief complaints, or somewhere in the body, and

some do not. So partly the hypothesis of the Ef measurement reflecting disease state has been invalidated, but

not in total. Why? Because there is something in enough cases to warrant the hypothesis that if an entire body

full spectrum Ef measurement could be obtained, the Ef could be high somewhere in the body, even if not at

the complaint site location. This is the effect of reflexology logic, and distal/referred pains, channels , fascia

trains, etc… which may shunt electrical activity elsewhere or otherwise indicate a local-distal relationship in

treatment and even diagnosis. For example it is well known that migraines can be caused by internal organ

issues, so perhaps a lack of Ef measurement in the head does not mean no EF.

21 “Promo-vasculature”

Regarding the maximum measurement, it was also time consuming to search for such high signals, and

their deltas were of dubious consequence. While sensational, a 50 V/m change did not necessarily mean a

complete subsidence of symptoms/complaint. There was no observed correlation there before, so it was not

looked for. Perhaps in the future it could be.

Regarding the controls, the previous form of randomized “placebo” measurement was found to be,

basically, good enough medically but not from an engineering standpoint. In this Phase, instead an option was

exercised to utilize the same 12 locations in all samples, in both locations. This eliminated, as well, the

“opinion” nature of finding opposite sides for conditions which may not have any opposite sides and where

off-location measurements may in fact be perfectly valid (as just described above).

1. Right temple

2. Left temple

3. Right upper deltoid of shoulder

4. Left upper deltoid of shoulder

5. Right flank (GB21)

6. Left flank

7. Right hip (glute minimus)

8. Left hip

9. Right knee (GB33)

10. Left knee

11. Right foot (GB41)

12. Left foot

The benefit of this list is that it can be performed supine or prone, for all cases sampled . It also

provides a very evenly distributed sample set that more closely approaches the ideal of a full body spectrum

analysis, as described above.

Additionally, the experiments were entirely performed in the same one room at each location (room 2 in

Lexington, KY and room 1 in Berea, KY).

Error Margins

The errors and problems which are introduced are much fewer in Phase 3. Part of that is practice, part

is eliminating the assistants, and part is the control of the room and using the same parts of the body for

controls.

There is one issue which has to be addressed which is that the measurements of the magnetic field

utilized the more precise bar line, which seemingly inflates the measured values. But since the author is only

interested in delta values and this is not a measurement of the rooms themselves, this is completely

acceptable. All the author is interested in for Phase 3 regarding Bf is the change of value, particularly if the Ef

does not change, to see if some diseases might possibly be more correlated (at complaint site) with the BF.

Results were, on occasion, interesting, but mostly inconclusive.

22 Phase 2 contained a phantom limb case which was not re-sampled in Phase 3.

It may interest the reader to know the EMF characteristics (profiles) of the clinics, they are as follows:

Figure 15: Lexington EMF Profile

Please note that the fountain (in lobby) was not present in Phase 3. Heat lamps were not used in any

phase of the experiment.

23 http://bit.ly/2PkDDaf

Figure 16: Berea EMF Profile

Statistical Design

In designing the statistics, the experimental data was not “copy and pasted,” rather all data was

recorded using Google Forms to Spreadsheets, and as has been cited, individual tabs were used to refer to

specific portions of the data. This made it quite simple to measure all statistics.

There is however two areas that require more explanation.

★In Phase 1, there are a number of results that led to division by 0. In order to make the formula work,

decisions were in some cases made to change delta to an insignificant value, and in other cases, to not

skew rations, they were replaced with 0’s. As stated before, Phase 1 data is not considered conclusive

only indicative, and this is not seen as a major detraction. It was dealt with in the later trials to avoid this

issue again.

★In Phase 2, varMag requires a bit more explanation.

arM ag dEMeasured Edoor∣ v=∣−d(2)

f .5, then weather and moon conditions are consideredi varM ag

dEM easured > 0 (3)

More analysis could be considered as to whether or not varMag/dEControl would be statistically useful,

but it was not of interest to the author at this time.

24 Both profiles were made using the same individual Trifield device.

25 See tab “Door to Room Control” in Phase 2 Spreadsheet

The thinking behind (2) is that if we are interested in severe changes in Ef characteristics, pertaining to

weather, we should compare situations where various door to room measurements exceeded 50%. A more

nuanced, “dialed in” percentage, probably exists, but it is not known, at the time of writing. Perhaps the

threshold should be 30% or 80%, or some ratio for dE:dPx. But the author thinks it is an arbitrary filter. The

goal is merely to look for large variances.

Phase 1 Results

Figure 17 : Changes in pain scale and E-field within same day visits

Phase 1 showed significant promise about changes in the E-field. However, despite these massive

Max changes, the average measured dE value was only 8.95 V/m. That’s still fantastic (and as it turns out,

outlandish), and thus the experiment warranted a second trial. However, it was soon discovered that too many

variables in the treatments may have introduced problems in measurement, especially the Max values. One

such variable was the presence of a plugged-in table warmer. However, in most instances max measurements

were taken prior to contact with the table, and in very little of the samples were overhead lights an issue

because of the orientation of the Trifield precluding a maximum measurement of Ef from overhead lights.

One of the values that it turns out can be aptly trusted is the average change in pain/significance from

pre and post treatment. This has already been covered, but it is worth noting that in all three trials it remains

around 3 points of difference (no decimals were used, only ordinals). Typically this is a significant portion of the

initial value and as stated previously is roughly 48% in decrease, on average. That is fantastic for the medicine,

and it is fantastic for the experiment. Considering many trials demonstrate that trained (or mis-trained as the

26 http://bit.ly/2CvzKJJ

case may be) doctors trying to prove or disprove acupuncture get results that barely outperform placebos

(“sham acupuncture”) which indicates a high efficacy of the author. Furthermore the relative consistency is

considered by the author to be an indication of excellent repetition. But the author would invite others to try to

replicate Phase 2 or 3, and attempt to either beat or disprove this benchmark.

Figure 18: Sample by sample ratios of dE:dPain

Not every case resulted in a positive difference (decrease from initial measurement) in EF, and in one

instance: pain reporting. This resulted in 5 cases of negative ratio values. There is also a questionable trend of

weak or 0 ratio in the start of the trial, versus significantly high ratios in the middle and then decreasing. This

may have indicated a solar electrical event or change in the SEC/PEC relationship. Or it may indicated a moon

phase correlation. Either way, this is the graph which indicated to the author that further controls and study

were needed and that Phase 1 data was not considered to be conclusive.

Figure 19: Sample by Sample dE

and dPain, with values (in Volts/m

for EF)

Criticisms

There are a number of

samples which the author would

consider as “error prone” or at least

potentially suspicious. In which

case the averages for dE would

probably come down to Phase 3

levels.

What the author would prefer

to spend time dwelling on are the

negative values.

As has been stated before,

the purpose of the experiment is to

verify the hypothesis that charge

can become stuck in the nerves. In

Phase 3, the experiment leans

towards protons. But suppose for a

moment that the hypothesis was

negative charges (electrons), and

that these are the cause of high

readings. In such a case, then how

could the results invert, given the

hypothesis (confirmed in Phase 2)

that conductive needles, in

interaction with the practitioner’s

hand, would facilitate electron

migration out of the nerves and

channels, etc…?

The answer would be if the

treatment also stimulated nerves

that were not firing previously into

behavior or if there is, as Zhongyi

suggests, a collection of “negative

energy” that moves out of the

interior and into the channels

during treatment, causing

hyper-reactivity and sensitivity in

the nerves, resulting in sudden firing of the local site , then possibly there would be an increase of Ef. That is,

if it is not simply introduced post-treatment interference, which is unlikely but possible.

Through trial and experience the author has learned that one measure of the activity of a nerve

pathway is, if in doing e-stim style acupuncture, the device requires a > 1u setting for a typically reactive and

impedance-even region (such as down the tibialis anterior), then the nerve pathways may be “off”. In such a

case, could turning them on cause an increase in Ef? The author thinks this is highly likely.

In Phase 3 several situations arose such as this:

● Patient complains of headache

● Head readings are 0 or 1 V/m

● Shoulder (and thus neck) readings are > 3 V/m

● Post treatment the head and shoulder are 0 or 1 V/m

● Knee or foot post treatments are suddenly > 5V/m, often 10 V/m

This phenomenon matches almost perfectly with the concepts in Zhongyi “channel theory” whereby

inflammation is eliminated along prescribed pathways which descend from the head to the hands and feet. In

fact several of the points for treating the head and neck are located on the appendages (such as LI4, which

primarily treats head pain).

Phase 2 Results

Figure 20: Various measurement deltas (V/m) by modality

27 Bear in mind the treatments may or may not have had needles at the local site. In tuina, guasha, and cupping, no

needles at all, but physical manipulation which may introduce grounding.

28 http://bit.ly/2y7of7q

Figure 21: Phase 2 Delta Averages

Phase 2 starts off with some very strong results, both on the whole averages, confirming Phase 1’s

significance (dE:dPain >> 1), and in establishing the controls. Figure 21 is unassailably conclusive that Ef

behaviors are present in treatment conditions. It also confirms that the max “average” should be more in line

with the standard deviations of Phase 1 and 2 (as they are trials performed in the same basic way).

More interestingly, as well the dPain of the control group did show a notable difference with the dPain of

the non control group (2.49 vs 3.25, a difference of 23.4%). But far more interestingly shown is that the dE of

the control group (averaged), was far different than the dE of the average measured sample. As the sample

size of the random controls were ~6% of cases, but the sample size of control measurements for the remaining

94% was 100%. So in those 94% of measured cases, the average control dE was 1.81 V/m vs 6.3 V/m for the

chief complaint. This is relevant because in all cases for the 94% non-control group, the controls were

measured in tandem with the chief complaints and in the same way, under otherwise the same “room”

conditions. These control measurements were not measured at the door. Which means all of these statistics

are clinically relevant.

The results in Figure 21 are to be considered de facto proof of the main hypotheses. It is important also

to note that Phase 3, despite being a completely different control design, confirms the relationship of dE:dPx >

1 but not for the controls! See Phase 3 results below.

Figure 20, by contrast, shows fascinating results whereby dE_control is negative for acupuncture and

basically 0 for e-stim. However, either due to small sample size, or to lack of use of conductive needles, the

other three modalities showed no control correlation. This prompted a retrial, especially of tuina in Phase 3. Let

us take each modalities’ graphs separately:

● While the e-stim dPain was remarkably high, indicating possible increase efficacy in stimulation of

needles (with acupuncture), the acupuncture, tuina, and guasha values were all near to standard

deviations. (2-3 points).

● However the dPain for cupping would suggest it has no benefit or even negative benefit. This is almost

assuredly a sample size issue. Most probably this is an issue of bad self-reporting, whereby the patient

confuses satisfaction with efficacy itself. However, in 4 cases one would expect a positive value.

● The tuina and cupping results seem to indicate (again with only 5 and 4 samples) that there is a

massive Ef change regardless of controls throughout the entire body , which truly demonstrates the

power of nervous system modification, or possible charge sequestration through grounding (via the

practitioner).

● The Ef max of tuina, cupping, and guasha all exceed the dE and dE_control. But the guasha value is

especially high, and this suggests a very potent case of change (therapeutic transformation), and

change in the nervous system. However, none of these has enough samples to be conclusive.

● The cupping dE_control and dE are very close to one another, 13.6% in variation, suggesting a

possible full body change that is worth following up given the dE_Max is also very close to control at

0.15% variance.

Figure 22 demonstrates the conductive versus non-conductive modalities. The non-conductive results

are not easy to dismiss, as they may hold clues to the efficacy of physical therapies (versus energetic or

intervention therapies), which has been especially noted in sports and PT. Also, it may be that something else

very interesting may be going on “behind the scenes.”

Figure 22: Measurements broken down by modality, in bar graph form, with values listed.

Figure 23 below demonstrates the application of equations (2) and (3) in filtering the data. AS can be

seen the average varMag is 8.152, indicating that there is a significant effect of the carpet and/or environment

on the experiment. This is much higher variation (in V/m) than the control (1.81); over 350% more!

In the author’s opinion this cannot be due solely to the room, or to the errors of the assistants. Though

they would introduce error, it would be expected to be within the standard deviations (see Figure 1). Instead

the author suggests looking at the varMag average when over 50% of dE_measured. In this case the varMag

is higher , suggesting an influence of weather as well as something else. The author suspects static electricity

or interference from unknown wiring issues, probably the former based on clinic EMF profile characteristics.

Following Figure 23 is a breakout of said varMag > 50% dE_Measured, their sample sizes (used to

indicated which types of conditions encourage (3)). The sample size was more than substantial enough to

make the entire data set valid, but the individual breakouts of daily conditions and of the medical conditions

treated may be considered, at times, too small in sample size to be conclusive of individual situations.

Figure 23: varMag and varMag for >50% (equation 3) averaged compared with Phase 2 results

Figure 24: varMag (from door to room) > 50% of dE_cc, sample: 127

29 http://bit.ly/2OG5Gkf

As can be seen in Figure 24, the most common conditions to create a higher varMag are in waning “yin

moon” phases, when it is sunny out or there are solar wind increases above normal conditions, or on cold,

windy, or dry days. This experiment was conducted in the fall, so increased static activity would be expected in

cold, dry, static conditions. Also conditions of storms or being overcast (which indicate the presence of

increased charge and atmospheric capacitance ) created more significant VarMag conditions.

Of these results the moon phases were the most surprising. But the conditions shown seem to indicate

that both protons (or nuclei) and electrons are involved.

Figure 25: varMag demonstrated in terms of % and ratios

From Figure 25 we can see another interesting phenomenon. Of the cases where the varMag actually

exceeds dE is more than half of the samples (55.2%), which would almost suggest that the samples for Phase

2 are diluted by environmental errors. But only 23% of samples actually exceed the dE_Measured by 50% or

more, whereby the varMag exceeds 10 V/m. For the rest the varMag remains near to the dE average. So this

might be construed as an argument for mere “noise” and not true dilution.

If this trial were to be performed again in the same way (with better equipment), it should be divided into

two groups, each with their own redundant controls. Noting the conditions outside is good, but most importantly

would be to perform assiduous measurement to look for high varMag, and try to ascertain the possibilities. It

might be suggested that the groups also be randomly divided so that roughly half the samples (for both groups)

remove their shoes at the door as well (which was not done here, and the shoe sole may affect static effects).

30 According to www.spaceweather.com

31 The layers of the clouds and the Earth’s surface form the capacitor plates. Electrostatic repulsion may be indicative of

the real reason incredibly heavy clouds are able to float, or why rain falls as the clouds move over differently charged

surfaces.

Figure 26: Conditions which produce high varMag

In the opinion of the author Figure 26 does not suggest much to demonstrate conclusive connections

between conditions reported and varMag > dE. There does seem to be a high number of knee and back pain

cases, but those also represent a high proportion of the samples already.

Figure 27: dE average as compared with the ratio to pain

32 http://bit.ly/2PrurxO

Figure 27 is a bit complicated to understand. What it demonstrates is the distribution of dE and the

dE:dPx ratio in magnitude, as differentiated by the pain scales. By far the greatest dE is when people report a

change of 3 ordinal points, followed by 4 and 2. However for all of these patients also had, on occasion,

negative deltas in Ef readings. However, this trend greatly reduced when the dPx ordinals were from 5 to 7.

Ordinal changes of 8 points did not show significant dE values, which may be a sample size issue, or some

other unintuitive phenomenon. It should not be taken as an invalidation of the hypothesis, although it is

possible the hypothesis is not nuanced enough to explain this data. Perhaps massive shifts in self-reported

pain and significance is reflected instead in Bf? It may also be that some other therapeutic effect is altering the

behavior of the nerves, or that self-reporting itself is too flawed, in which case fMRI would be the only way to

verify this effect and such a trial would be incredibly difficult to administer, and flawed by substantial

interference. Not to mention the cost of having enough samples. For now, clinical trials using self-reporting

instruments must be considered valid to make any forward progress.

Figure 28: dE vs dPx; most samples conform to expected ranges

Figure 29: Ef ratios and dPx log scale

Both of these figures and the ones

following demonstrate the general

sample trend distributions. As can be

seen, most of the data, by far conforms

to expected Phase 2 hypothesis

behaviors, albeit some more

spectacularly than others. But, enough

do not conform to the hypothesis, and

produce negative dE values with positive

dPx ordinal changes, to warrant a closer

look at the hypothesis for “mitigating

factors”.

In Figure 30 below, another strange

phenomenon is observed: when dE is

negative, more often than not dE_control

and dE_max are as well. This occurs

several times, with few other outliers, and

suggests an unknown behavior of the

nervous system.

It has been suggested in “energy” or

CAM circles (industry wide), that some

people are ”reverse polarized” having

adverse reactions to copper, magnetic

jewelry, and feeling better on “yin” days

or under the new moon. Could this

perhaps be related to the issue here? It

would be very useful, in a future re-trial of

the weather and moon conditions to also

record chakra behaviors, and look for

more-or-less objective signs of reverse

polarization. Muscle strength testing

might be another way to consider, by

using a crystal or magnet held the same

way for each person, so long as right &

left-handedness is also recorded.

Crystals and magnets represent known

EMF sources in use in therapy, with more

or less unknown (scientific) values.

Figure 30: dEf for cc, controls and max sites (in V/m)

Figure 31: dE vs dPain on a log scale, + only

Figure 31 demonstrates the relative order of magnitude distribution for dE cases. A large number of

cases are in the 0-7 ordinal point dPain, but the majority of samples are in the 10 V/m to 100 V/m range. The

two do appear to more or less follow each other, with significant outliers and spikes. Even in the case of an

under 1C

dE, which isn’t statistically valid (it could be human error in entering the data), the dPain was very high.

Criticisms

The most ubiquitous criticism to heap upon Phase 2 is not towards the data or design, but towards the

proveability of Phase 2’s hypothesis. While Phase 1’s hypothesis is validated, and awaiting Phase 3, Phase 2

presents major obstacles for its hypothesis. Chiefly, that varMag could either be definite relationships between

the environment and health or dilution of the relationship of Ef measurements in health settings, due to

interference from the environment.

However, there are three things in Phase 2’s hypothesis’ favor, which justify a further, detailed or

specific trial with very high quality equipment and grouping as suggested before. First, the moon results show

that varMag alterations were not mere room noise or practitioner error. Second, the weather data made perfect

sense for varMag > 50%: all the conditions that created this situation had logical explanations based on solid

electromagnetic phenomenon. How may this relate to the moon? The moon is a reflector and based on Phase

3, there may exist in fact a correlation between the noted full and new moon effects reported in hospitals and

jails, and the solar wind density (of protons). This would support two aspects of Phase 2: moon correlation and

solar storm correlations. Please bear in mind that “yin” phases of the moon correspond to “negative”, but

protons or positive ions are “negative” in energetics, while negative ions are “positive” for human health .

34 35

Phase 3 Results

Figure 32: Phase 3 results with Standard Deviation and 10% error bars, all 12 controls averaged

The standard deviations for Ef make a lot of sense, as there is a wide margin of max measurements

that were demonstrated in Phase 1 and Phase 2. Note that the sd_controls shows great confidence in control

of Ef measurements as opposed to sd_E for the cc. What is at first surprising is that the sd_Pain is also high,

until one remembers how widely varying results for delta of ordinal measurements would be in self-reporting.

Bear in mind that for all three trials, the standard deviation for dPain was only 0.24.

What is certainly very surprising is that the sd_M is so high, considering the vast majority of Bf

measurements were only varying .5-1 mG (0.61 on average) during treatment. This means, more than likely

that one or two very large measurements changed the sd_M (deltas) substantially. When these measurement

came up, sources of interference were sought, and not found, and multiple measurements were taken. They

are, therefore to be regarded as usefully out of place data that may have significance, as discussed in the

Phase 2 Results. But to confirm these results, Bf controls like Ef in Phase 3 would need to be established,

probably in a separate trial altogether.

The dE_controls demonstrates clear verification of Phase 1 and 2 testing of Phase 1 hypothesis, with

an improved dE:dPx ratio in the controls. So, while the dE_cc:dPx ratio is closer to 1:1 than before , the

controls are so much further from 1:1 that it highlights the Phase 3 results’ validity. It is expected that if Phase 1

33 Waning past half, Last Quarter, crescent, and New Moons.

34 Ben Franklin arbitrarily assigned this convention; the Chinese have the correct charge orientation.

35 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3598548/

36 http://bit.ly/2NuG1pV

37 This is the third proposed follow-up trial.

38 1.11 vs. 1.35

were performed again, with these type controls, in the spring to summertime, the results would be in the same

order of magnitude.

Delta for self-reported pain and significance was slightly less on average with that of Phase 1 (by

9.66%) and slightly more than Phase 2 (by 12.4%), but was within the 2-3 ordinal point error margin, so that

2.71 is considered very reliable and the 10% error bars are expected. Overall the results in Figure 32 are

incredibly satisfactory.

Figure 33: mean delta % changes for Pain and Ef (ratio of 1.97)

The overall pain decrease was slightly improved in this trial, perhaps reflecting the practitioner, but

more likely reflecting the overall calm conditions of the sun as opposed to the period when Phase 2 was taking

place which saw several spectacular X class solar flare events. Phase 3 had 0 X class solar flare events, even

during non-treatment days. It was a very quiet sun, overall. Maximum solar wind speed was 615.9 km s

-1

with a

maximum density of 24.1 protons cm

-3

. The highest X-ray class was C1, which is well below X class in energy

output .

39 By 2 orders of magnitude; https://www.nasa.gov/mission_pages/sunearth/news/X-class-flares.html

Figure 34: dE:dPx mean ratios (as %) per modality and by gender

In Figure 34 we see, very clearly, that the acupuncture modality is reliably able to decrease Ef for males

and females within a strong confidence level, at overunity. Meanwhile, e-stim as a modality underperformed,

and it was not a matter of efficacy as dPx_e-stim was 2.36 vs 2.83 for dPx_acu (16.6% variance). It is a plain

fact that dE_e-stim << dE_acu (See Figure 35 below). In fact it underperformed Tuina, comparing more to the

results of cupping which was even more significantly under-unity. Tuina was also under-unity but less

significantly so.

40 http://bit.ly/2ObubGl

Figure 35: Phase 3 Results by modality, dE vs dPx

None of this means that the modalities have no value nor that there is no change in Ef for the cc, but

that, perhaps, Phase 3 was sobering to Phase 1 and 2 in terms of providing limits. However, given the use of

electrostimulation generates interference within the body, and perhaps leaves charges within nerve pathways

(hence stimulation ) and alters the results. Or perhaps the e-stim technique was sub-par as compared to

Phase 2.

41 http://bit.ly/2OaVZuC

42 Caffeine is also a stimulant, and it definitely adds energy to the nerve pathways by blocking rest/fatigue mechanisms.

Figure 36: ratios of dE (and dM) to dPain for the cc and the controls

Figure 36, again, demonstrates the value of the Phase 1 hypothesis, and demonstrates clearly why

magnetism has never been considered a viable diagnostic. The fact that society, in general, understands

magnetic fields so much more (for various cultural and mathematical reasons) than electric fields, and has

(along with gravity) focused on it so much more, probably demonstrates the problem thus far. It is electric

fields, not magnetic fields, which are useful in diagnostic medicine.

Figure 37: Age not a factor; overunity for Acupuncture clearly demonstrated versus e-stim and tuina

43 http://bit.ly/2PnXyBM

Figure 38: Max changes (indicated by standard deviations); dE_cc clearly stands above controls

Regarding Phase 3’s hypothesis, the following subsections will detail the results (found in the cited

spreadsheet), broken down into (1) weather, (2) lunar, (3) solar, and (4) by complaint type (where applicable).

These were studies designed to explore further some of the effects found in Phase 2, with more specific

data, and more reliable reporting. However, as some of the criteria or categorization changed from Phase 2, it

should be weighed separately and for correlation and contrast. The results are pretty staggering on their own.

Weather Data

Table 1 - Sample Information and Modes for Age, Wind Speed, and Temperature through Phase 3

Age (yrs)

Wind Speed (mph/ km h

-1

)

Temp (F / C)

Avg

47.5

6.46 (10.4)

79.5 (26.4)

Mode

5.0 (8.05)

80.0 (26.7)

44 Overunity is sought not only because it validates hypothesis 1.1, but because theoretically, the results are scalable. The

worse the Ef measurement, the more the pain relief should be. Hence: in cases of severe, inoperable, incurable pain, in

seeking treatment outside of CAM and narcotics or other pain management, the alteration of Ef in the body should

produce a predictable overunity result. Creating methods (other than Zhongyi) to do this can become the entire focus of a

new branch of medicine.

Figure 39: Sample sizes for weather conditions for all and each major modality

Figure 40: Sample size % by weather conditions only

The above are categorized as results (rather than design) because weather cannot be predicted.

45 http://bit.ly/2zZyfkc

Figure 41: Phase 3 results by condition, for Ef, Bf, ratios and averages

As expected, all cloudy conditions show dE, with thunderstorms being the worst. In Phase 2

sunny/clear conditions produced varMag door-to-room variations > 50% dE, but in Phase 3 did not show

demonstrable dE overunity. However, all conditions show an even distribution of dPx, (mean: 2.71, standard

deviation of 0.266).

Figure 42: deltas in stacked form for visual comparison; ratios demonstrate paper hypothesis clearly

Lunar Data

Figure 43: deltas for lunar phases; note: log scale bars below 1 are not negatives

46 http://bit.ly/2CAfztS

Contrary to Phase 2 results, Phase 3 demonstrated clear stronger correlations between Ef in the yang

or “filling”/waxing portions than the yin or “draining”/waning portions. The Bf also showed slightly elevated

response in the waxing period. However, delta for pain was more elevated in the waning periods.

This does not mean that Phase 2 has no value or its lunar results are not interesting, because some of

the data from Phase 3 indicates changes in pain/significance reporting. This may be more intense during

waning periods, and/or transitional times, especially the New Moon. It is reasonable to suspect that the moon’s

reflection, particularly of protons/nuclei, might lead to distributed results, such as those seen.

Figure 44: Results focused around two halves of moon’s classical energetic behaviors

The data in Figure 44 demonstrates that sample size is not an issue. Rather, it is clear that overunity for

dE:dPx occurs only in the Yang period. Now it is also true that dE did change during the yin phases of the

moon, and so it isn’t that the experiment wasn’t successful, rather that the results were in “lock step.” Though

standard deviation and instrument error allows for massive deviation here, the author takes the above results,

and asserts that parity is what is achieved. For each ordinal point of pain delta, 1 Volt/meter of electromotive

force is decreased. But , at yang periods of the moon, it is possible to do even better, or hypothesis 1.2 is in

effect, and there are too many positive charges in the body, which need released.

At this point, however, it is an unverified hypothesis (a new one), which will require a reperformance of

the Phase 3 trial to corroborate.

47 Decreasing reflectivity, peaking at the New Moon, and increasing, peaking at the Full Moon.

Solar Data

Figure 45: Solar Wind Density vs Sunspot number

No demonstrable connection can be shown between SWD and SN, which is good for the experiment’s

validity.

Figure 46: Solar Flare Samples

The vast majority of samples were taken on calm solar days.

48 Sunspot # mode = 0

49 http://bit.ly/2zZz6Sa

Table 2: Average Solar Wind Speed and Density

Avg Solar Wind Speed (km/s)

417.9

Avg Proton Density / cubic cm

8.24

Table 3: Maxes and Solar Data with % differences

dPx

Max>

47.5

Modality

Acupuncture

SWS

372

374.2

530.4

PD/cm

7.4

1.6

SF#

Sunspot#

SWS%diff w/ avg

-10.99%

-10.47%

26.91%

PD%diff w/ avg

-10.21%

-80.59%

45.61%

Figure 47: SWD Minimum and Maximum

50 Maximums are used because minimums will always be 0 and there will be several such. They are not as interesting.

Note all the maximum deltas involve Acupuncture as the modality, which is handy.

Algorithmic searches reveal the maximum values and show a clear correlation of efficacy with acupuncture

coincidentally happened with the maximum values.

Figure 48: Proton Density Profile for Phase 3

Figure 49: SW data and standard deviations for Phase 3

Figure 50: Moving Averages of Pain, EF and

SWS for Phase 3

This graph shows the entire range of solar

data, compared with dE and dPain values.

From it, one can clearly see there is no

discernable connection (without further

sophisticated analysis) between SWS and

either measurement.

Figure 51: Moving Averages for SWD,

dE, and dPain for Phase 3

As opposed to Figure 50, the graph at

left demonstrates a very unique and

potentially groundbreaking connection.

While it does not show any apparent

connection between dE and the solar

wind density, which again may just be

due to a lack of sophisticated

statistical analysis. But what it does

demonstrate, somewhat clearly is a

connection between dPain and SWD.

At first this connection seems

abstruse, and difficult to pinpoint.

Sometimes the MA’s go in tandem,

and then appear to change behavior,

sometimes doing exactly the opposite

of one another.

But, looking at the graphs, there does

appear to be a type of correlation: a

chronological one. In Figure 52, the

relationship is revealed.

Figure 52: Moon Phase data added

with dE removed

Aside from proving hypothesis 1,

this may be the most exciting of the

results from all three trials. While not

conclusive, it certainly does warrant

its own small trial which is specific to

this hypothesis.

Afterwards, the author sought out a

similar correlation, as shown in

Figure 53, but it was after all,

unsuccessful. Compare with

sunspots (black dots), and there are

no obvious dE to SWD connections

or to sunspots.

Figure 53: SWD vs dE and sunspot #

Criticisms

Phase 3 is an excellent trial, and the results are staggering. However they leave, in many ways, more

questions than answers. That is the mark of a good hypothesis, as results should open up new possibilities

while eliminating previously unanswered questions. However, regarding problems, while they are relatively few,

there are some clear issues with design. For one, the lack of dM values for the 12 controls would have been

more useful, as it turns out. Secondly, it would have beneficial for the lunar analysis if a data field for both the

actual date, and the reflectivity % had been included. Figure 52 shows a good general trend, however it does

not have conclusive chronological proof. On rare occasion, several previously taken data was included in the

data later entered, which may or may not have been recorded at the same time as the day the data was taken.

This is the reason why of all the experiment data, this specific new hypothesis has the greatest mandate for

reproducing the results.

There is also a greater criticism, not only that the equipment needs to be more precise, but that the

rooms need to be physically cleared of any equipment that could be considered interference. Also, that the trial

needs to be reconducted in fall/winter (yin time of year), or perhaps year round, to include more information

and more samples. It also could be said that because of the need for more data and more sample data that the

results of the non-acupuncture modalities is not satisfactory, or even disappointing, as this was the hope for the

end of Phase 2: to create a better sample of data. However, due to circumstances, it was not always possible

to use the proper room, or take measurements. A full year of experimental measurement would most likely

remedy that situation.

Statistical Comparisons

Though the three trials are very different, in the following a brief comparison of the trials is conducted.

Figure 54: 3 Phase comparisons of pain, max, Ef, ratios, control and cc comparison

As the trials went along, it’s clear that better and better controls constrained the results downward.

What is also clear, though, is that the controls worked well enough to bring ratios under-unity. The graph in

Figure 54 shows a strong correlation with Phase 3’s proving the original hypothesis. Although the dE:dPx ratio

is only slightly overunity, it’s way higher than the controls of Phase 2 and Phase 3.

Another strange fact is that the max control values and the max dE values are higher (despite controls).

It is the statistical results of Figure 54 that shows the value of this experiment, and the mandate to do

more experimentation and specific trials, as well as repeating the successful parts of the trials.

It also bears repeating that the standard deviations also reduce as the trials went on. But their max

value standard deviations remain volatile. The constraints will continue to be made higher, but in reality the

standard deviations don’t ultimately reflect Ef and Bf measurement realities. It’s simply not reasonable that the

randomness of human health with wildly different kinds of complaints and weather conditions, along with a

rolling lunar phase and cycling (moody) solar disc will produce narrow banded results, except for pain changes.

51 http://bit.ly/2CvNxQp

Figure 55: Averages and ratios, cc vs controls for Phase 2 & 3

The averages and ratios for Phase 2 and 3, showing controls and the overall overunity ratio of dE:dPx

are the coup-de-gras for almost any challenge to the study. There is a very clear difference between chief

complaint and control data, and that not only validates the purpose of the work, and future investment for

re-trial, but it creates an entirely new inquest into medicine itself.

Conclusions

The goals of this experiment have been met: demonstrate validity of hypothesis 1.1 and 1.2, investigate

possible implications of hypothesis 2.1 (weather effects) and 2.2 (solar effects), and validate these in a highly

controlled third trial which also tests lunar relationships and demonstrates non-complaint related validity.

Additionally the efficacy of Zhongyi medicine was confirmed and re-confirmed with consistent 48%

reduction (on average) of single visit self-reported pain and significance ordinal data. Constrained results did

not dilute the validity of hypothesis 1, but rather further dramatically constrained control results while keeping

Phase 3 chief complaint Ef measurements overunity with respect to the excellent aforementioned self-reported

deltas.

Lunar relationships were challenged, and assumptions about lunar efficacy were tested; an unexpected

correlation was possibly uncovered pertaining to actual solar wind density (proton) values. This provided a

possible reasoning for excellent demonstrable results during the “Yang” phase of the moon’s natural cycles.

Meanwhile, overunity was maintained (hypothesis 1) throughout both cycles of the moon, waxing and waning.

The interesting value of Phase 1’s hypothesis were both confirmed:

1. Charges do influence the nerve pathways of the body, most notably protons

2. Electric fields, not magnetic fields, are the future observational diagnostic value in CAM and possibly,

mainstream diagnostic medicine.

The value for Ef reading in clinic is, as of yet, a new ground for which almost no “breaking” has been

done. The author would like to invite others to step into the new field, and test these results.

Acknowledgements

Special thanks to SAFIRE project engineer Michael Clarage for his notes and more than helpful

suggestions. Thank you to my personal assistant, Macon Asbury, who acted as primary editor, and to my

student Regina Burris who acted as secondary editor. A very special thank you to my wife, Arwen Careaga for

putting up with my eccentricities. Thank you to the Electric Universe/Plasma Cosmology community at large.

Inspirations from Wal Thornhill, Eugene Bagashov, Pierre-Marie Robitaille, Stephen Crothers, Ben Davidson,

and others. Thank you to Drew Taylor for his personal recommendations. Finally a very special thank you to

the patients of Blue Lotus Health & Acupuncture, for making the research possible.

Appendix A - What is an Electric Field?

“ e·lec·tric ﬁeld /əˌlektrik ˈﬁld/



1. a region around a charged particle or object within which a force would be exerted on other

charged particles or objects.” ~Google



An electric ﬁeld, like all ﬁelds, is a relationship. Unlike magnetic ﬁelds, which are unbroken connections

between north and south poles (and therefore natural metaphors for the Taijitu or yin and yang), a charged

particle can [theoretically] exist as a point charge alone far in space.

Magnetic ﬁelds, and gravity, both degrade by the distance squared; this is called the inverse square law.

However, electricity has three different degradations:

●1/r - Electricity in a wall and standard capacitance ﬁeld

●k/r

- Standard Electric ﬁelds

●1/ - Birkeland current “plasma” ﬁlaments

√r

The latter is the signature of structure and energy transfer throughout the Universe on all scales, but,

other than discussing solar effects, will not be considered in this study.

In general, however, an electric ﬁeld can also be said to be a relationship. If not between positive and

negative charges, then between the ﬁeld (and its induced/forced particles) and the magnetic ﬁeld produced by

(1) a changing electric ﬁeld or (2) a current. Current is, in actuality, a modeled ﬂow of dynamic incredibly small

(subatomic) electric ﬁelds. The smallest such ﬁelds are considered quarks, which do not have physical masses

but energy levels measured in electron-volts (usually in MeV or GeV).

The idea of a ﬁeld is a planar idea, but in reality electromagnetic ﬁelds have geometries that exist in a

fourth dimensional space. The fourth dimension of changing time is an observational one, and not inherent to

the substrata. For the Universe, all that is altering are voltages (energy levels and tension or pressure gradients)

and the ﬁelds forcing movement along those gradients or against them in some way. This is, in essence, a

similar enough concept to the Chinese conceptualization of Qi. In fact the two have many similarities in

behaviors (see Table 4) .

An electric ﬁeld is a relationship that can be open or closed-ended, but in which work is only performed

when a charge is accelerated by the ﬁeld. The ﬁeld, if present in appreciable quantities, will have an effect upon

all loose charges (which interact). Meanwhile, many materials do not have interactions with magnetic ﬁelds,

and all masses and even light seems to have interactions with gravitational ﬁelds, despite being much, much

weaker than electric ﬁelds .

The remarkable thing, given the long length of study of electromagnetism, is that so few people

understand electricity, electric ﬁelds (especially Birkeland currents), and have not investigated their possible

connections to bioenergetics, energetic medicine, CAM, and traditional western medicine. It is, in part, due to

the diﬃcult nature of the calculation of complex electrodynamics, and partly due to the mysterious nature of

electricity. To this day, many are still convinced that electricity is magnetism in disguise. But in actuality, EMF,

light, magnetism, hysteresis, and even gravity appear to be shadows of electrical motivation.



52 Note: neither are conductive in plastics. The author finds their similarities compelling, and also the similarities in

representative symbology!

53 10

times weaker

54 Even Hannes Alfvén, Nobel prize winner and creator of Magnetohydrodynamics had said, "Gravitational systems are

the ashes of prior electrical systems."

Figure 55: Single point charge E-fields; credit:Physics4Kids

The demonstration of single point charges is difficult to do, but

nevertheless, quite attainable in precision lab results. It is, in fact,

incredibly important to discuss isolated charges, especially in

relationship to magnetic fields, such as in microwaves and old

style televisions.

Electricity as most people know it is the smooth, continuous

alternating or continuous (direct) flow of electrons through a

conductor, however for most of space it is not a matter of a

conductor but of very powerful electric fields which can force

charge separation in a vacuum, or in dense to sparse plasma environments. More information about the

currents in space and their magnitudes can be found in the author’s work on “Magnetic Universe Theory,” table

Figure 56: Positive and Negative charge relationship; Wikipedia

Benjamin Franklin is the man initially responsible for our

symbolism and standard for which charge is “positive” and which

is “negative”, and indeed, as mentioned previously, their reality,

as far as human health is concerned, is opposite to the

convention.

Figure 57: Ef as related to interactions with charged

bodies; Wikipedia

Notice that in Figure 57 the way that the

charges in the bodies automatically orient towards

lines of attraction between negative and positive

charges.

Electric field relationship are interesting in

their ability to go through insulators. A typical

experiment that demonstrates this involves waving

a fluorescent light bulb not connected to anything, across the glass globe of a plasma globe “toy,” which

causes it to light up. In this way, one can be certain that there will be some kind of effect have EMF filled

environments upon the nervous system, although it is debatable to what extent RF signals have on human

health.

55 https://en.wikipedia.org/wiki/Electric_field

Table 4: Comparing Charge & Ch’i

Q ( Ch arge; electron-volts)

Qi ( Ch ’i; Vital energy, breath,

vapors)

Invisible

Measurable

Only in the form of Bing Qi (nerves

irritated = bad energy)

Thermography and kirlian

photography also present options.

Emanates in fields

Moves in waves

Conductive in metals

Conductive in wood and

fabrics

with enough

potential voltage

Depends on the

fabric

Conductive in pure water

Appendix B - Hypothesis 1.1 Explained

Briefly the author would like to expand on the original hypotheses, particularly the idea of how charges

could enter nerves. Originally the intuition was that the concept of “wind” as a disease origin (that enabled

vectors such as flu virus) may have been related to the presence of charges trapped in nerves. There has to be

some method of explaining a “Qi strike” or “channel stroke”, etc… which leads to “ying and wei separation,”

which does create a unique sensation of flu-like prodromal, full-body aches and weakness, or sudden profuse

sweating .

The following images were the initial diagrams drawn by the author. The words from their

accompanying text are typed to spare the reader.

Figure 58: Proposed effects on subdermal neuronal activity due to charge introduction

“I - In gentle, even temperature wind, the nerve cell can re-circulate and continue on or even be

stimulated. Thus the thought-inducing, even therapeutic uplift this wind provides [referring to negative

ions].

II - In pathogenic winds, disease is “carried” via disruption of immune (wei) sensation of pathogens.

This causes the prodromal Flu-like symptoms of ying/wei separation.

56 Which the Chinese explain both as weakness of Qi (failing to contain) and the attempt of the body to move the (positive)

Qi, and to expel Bing Qi. It is interesting to note that for this light uncontrolled sweating, herbals which promote “proper”

sweating are introduced. Their effects are to remove the prodromal sensations, relieve aching, warm the body, and alter

nerve behaviors. Perhaps it is extra ions (via sugar) or charges in the wind which lodge in the channels.

57 With filters to bring out details from scans, as originals were lost.

58 Electrons are obviously very miniscule, but a proton is on the scale of 10

-15

m, whereas a skin pore is 5-80 μm or about

9 orders of magnitude larger (1 billion times) https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4337418/

III - It is compounded by the presence of altered temperature (ie- exposure), such as cold, which

disrupts the circulation by inducing cramping (to retain heat), closing of ion-gates, or introduction of heat

vectors which disrupt cell repair and stimulate pathogen growth (by absence of mitigating buffers).

NOTE: the muscles contain nerves also, hence myopathy in autoimmune or immunocompromised

circumstances. But they also use ions (K+, Ca+ Na-, etc…) and are thus equally affected by Charge

movement as flux (current). Thus pre-storm myopathies (associated with arthritis and fibromyalgia), can

also be experienced in healthy populations as well as muscle deep cold sensations. The brain is a

massive nerve bundle, and therefore: seasonal affective disorders and depressions can be explained

via excessive or deficient charge accumulation in neural pathways.”

Figure 59: Demonstration of how Bernoulli’s Effect leads to charge carrying in wind

The above diagram shows that in a wind (or any fluid), the internal pressure drops (as is well known

with storm conditions). This leads to an external to internal pressure gradient which drives more charges , via

friction, into the wind, charging the air particles. When the particles bounce off the skin and body, the friction

deposits the high concentration of charge into the lower concentration, which is also likely grounded, as

shown in Figure 58. Accompanying The above, the author original wrote out two hypotheses:

“Hypothesis A: The combination of pressure change, magnetic disturbance, and static exchange is the

cause of arthritic-like prodromal symptoms often reported by many populations, especially the elderly

(who have less insulation)

Hypothesis B:The static charge gathered by wind, in striking the skin, transfers and affects the nervous

system’s charge movement mechanisms (such as action potentials), thereby weakening the immune

system response… making wind the “the Bringer of 10,000 diseases.”

Clinical Electric Field Measurements | by Sf. R. Careaga | © 2018 | BlueLotusHealth.com 
  
 
As can be seen, the author was already considering Hypothesis 2 while drafting Hypothesis 1, in this 
early sketches. It took till the second and third trials to find the right means to actual test these, via the varMag 
method, which was, again, innovated by the author. 
Appendix C - References 
1. “The Concept of Wind in Traditional Chinese Medicine,” NCBI, M. Dashtdar et.al., 2016, 
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5234349/ 
2. “Chinese Etymology,” http://hanziyuan.net/#%E6%B0%A3 
3. “Scalar Magnetic Waves and Qi, a first draft of a hypothesis,” Sf. R. Careaga, 2018 
4. “The Influence of the Patient-Clinician Relationship on Healthcare Outcomes: A Systematic Review and 
Meta-Analysis of Randomized Controlled Trials,” NCBI,  J. Kelley et.al., 2014, 
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3981763/ 
5. “ The Ying Qi Cycle,” Acupuncture Today, W. Morris, 2003, 
https://www.acupuncturetoday.com/mpacms/at/article.php?id=28351 
6. “Study on meridians and collaterals through ying-qi and wei-qi,” LS Zhuo,  Zhongguo zhen jiu = Chinese 
acupuncture & moxibustion  31(7):661-4 · July 2011 
7. “E-Stim,” SME,  https://www.smeincusa.com/sme/e-stim-ii.html 
8. “ TriField EMF Meter Model 100XE,” Trifield,  https://www.trifield.com/product/trifield-meter-model-100xe/ 
9. “What’s Up in Space,” Spaceweather.com,  http://www.spaceweather.com/ 
10. “Air ions and mood outcomes: a review and meta-analysis,” NCBI, V. Perez et al., 2013, 
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3598548/ 
11. “Electrical Field,” Wiki,  https://en.wikipedia.org/wiki/Electric_field 
12. “Facial skin pores: a multiethnic study,” NCBI, F. Flament et al., 2015, 
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4337418/ 
13. “Today’s Moon,” MoonGiant.com, https://www.moongiant.com/phase/today/ 
14. “The Predictable Rise of "Charged Dark Matter" How Covert Matter/Hot Grains-Plasma in Dark Mode-is pushing 
the failures of CDM and MOND into the Plasma-Electromagnetic Cosmological Paradigm,” Research Gate,  Sf. R. 
Careaga, 2018, 
https://www.researchgate.net/publication/328175179_The_Predictable_Rise_of_Charged_Dark_Matter_How_Cov
ert_MatterHot_Grains-Plasma_in_Dark_Mode-is_pushing_the_failures_of_CDM_and_MOND_into_the_Plasma-E
lectromagnetic_Cosmological_Paradigm 
15. “Extended-Plasma-Electromagnetic Cosmology” (EPEMC),Sf. R. Careaga, 2018, 
https://www.academia.edu/36753648/Extended-Plasma-Electromagnetic_Cosmology_EPEMC  
16. “EPEMC tm Benefits Ten Reasons to Consider Switching to Extended Plasma-electromagnetic Cosmology, ”  Sf. 
R. Careaga, 2018, 
https://www.academia.edu/37569958/EPEMC_tm_Benefits_Ten_Reasons_to_Consider_Switching_to_Extended_
Plasma-electromagnetic_Cosmology  
17. “Magnetic Universe Theory A Top-Down Review of Phases of Magnetic Theory Development, with accompanying 
historiography and comparison with Unified/Aether Field Theories including EPEMC,”  Sf. R. Careaga, 2018, 
https://www.academia.edu/37439506/Magnetic_Universe_Theory_A_Top-Down_Review_of_Phases_of_Magneti
c_Theory_Development_with_accompanying_historiography_and_comparison_with_Unified_Aether_Field_Theori
es_including_EPEMC 
 
   
58 

ResearchGate has not been able to resolve any citations for this publication.

The Concept of Wind in Traditional Chinese Medicine

Article

Full-text available

Dec 2016

The use of folk medicine has been widely embraced in many developed countries under the name of traditional, complementary and alternative medicine (TCAM) and is now becoming the mainstream in the UK and the rest of Europe, as well as in North America and Australia. Diversity, easy accessibility, broad continuity, relatively low cost, base levels of technological inputs, fewer side effects, and growing economic importance are some of the positive features of folk medicine. In this framework, a critical need exists to introduce the practice of folk medicine into public healthcare if the goal of reformed access to healthcare facilities is to be achieved. The amount of information available to public health practitioners about traditional medicine concepts and the utilization of that information are inadequate and pose many problems for the delivery of primary healthcare globally. Different societies have evolved various forms of indigenous perceptions that are captured under the broad concept of folk medicine, e.g., Persian, Chinese, Grecian, and African folk medicines, which explain the lack of universally accepted definitions of terms. Thus, the exchange of information on the diverse forms of folk medicine needs to be facilitated. Various concepts of Wind are found in books on traditional medicine, and many of those go beyond the boundaries established in old manuscripts and are not easily understood. This study intends to provide information, context, and guidance for the collection of all important information on the different concepts of Wind and for their simplification. This new vision for understanding earlier Chinese medicine will benefit public health specialists, traditional and complementary medicine practitioners, and those who are interested in historical medicine by providing a theoretical basis for the traditional medicines and the acupuncture that is used to eliminate Wind in order to treat various diseases.

The Influence of the Patient-Clinician Relationship on Healthcare Outcomes: A Systematic Review and MetaAnalysis of Randomized Controlled Trials

Article

Full-text available

Apr 2014
PLOS ONE

To determine whether the patient-clinician relationship has a beneficial effect on either objective or validated subjective healthcare outcomes. Systematic review and meta-analysis. Electronic databases EMBASE and MEDLINE and the reference sections of previous reviews. Included studies were randomized controlled trials (RCTs) in adult patients in which the patient-clinician relationship was systematically manipulated and healthcare outcomes were either objective (e.g., blood pressure) or validated subjective measures (e.g., pain scores). Studies were excluded if the encounter was a routine physical, or a mental health or substance abuse visit; if the outcome was an intermediate outcome such as patient satisfaction or adherence to treatment; if the patient-clinician relationship was manipulated solely by intervening with patients; or if the duration of the clinical encounter was unequal across conditions. Thirteen RCTs met eligibility criteria. Observed effect sizes for the individual studies ranged from d = -.23 to .66. Using a random-effects model, the estimate of the overall effect size was small (d = .11), but statistically significant (p = .02). This systematic review and meta-analysis of RCTs suggests that the patient-clinician relationship has a small, but statistically significant effect on healthcare outcomes. Given that relatively few RCTs met our eligibility criteria, and that the majority of these trials were not specifically designed to test the effect of the patient-clinician relationship on healthcare outcomes, we conclude with a call for more research on this important topic.

Scalar Magnetic Waves and Qi, a first draft of a hypothesis

Jan 2018

"Scalar Magnetic Waves and Qi, a first draft of a hypothesis," Sf. R. Careaga, 2018

Study on meridians and collaterals through ying-qi and wei-qi

Jul 2011
661-664

"Study on meridians and collaterals through ying-qi and wei-qi," LS Zhuo, Zhongguo zhen jiu = Chinese acupuncture & moxibustion 31(7):661-4 · July 2011

EPEMC tm Benefits Ten Reasons to Consider Switching to Extended Plasma-electromagnetic Cosmology

Jan 2018

Magnetic Universe Theory A Top-Down Review of Phases of Magnetic Theory Development, with accompanying historiography and comparison with Unified/Aether Field Theories including EPEMC

Jan 2018

"EPEMC tm Benefits Ten Reasons to Consider Switching to Extended Plasma-electromagnetic Cosmology, " Sf. R. Careaga, 2018, https://www.academia.edu/37569958/EPEMC_tm_Benefits_Ten_Reasons_to_Consider_Switching_to_Extended_ Plasma-electromagnetic_Cosmology 17. "Magnetic Universe Theory A Top-Down Review of Phases of Magnetic Theory Development, with accompanying historiography and comparison with Unified/Aether Field Theories including EPEMC," Sf. R. Careaga, 2018, https://www.academia.edu/37439506/Magnetic_Universe_Theory_A_Top-Down_Review_of_Phases_of_Magneti c_Theory_Development_with_accompanying_historiography_and_comparison_with_Unified_Aether_Field_Theori es_including_EPEMC

As can be seen, the author was already considering Hypothesis 2 while drafting Hypothesis 1, in this early sketches. It took till the second and third trials to find the right means to actual test these, via the varMag method, which was, again, innovated by the author

Jan 2016

M Ncbi
Dashtdar

Electrons are obviously very miniscule, but a proton is on the scale of 10 -15 m, whereas a skin pore is 5-80 μm or about 9 orders of magnitude larger (1 billion times) https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4337418/ As can be seen, the author was already considering Hypothesis 2 while drafting Hypothesis 1, in this early sketches. It took till the second and third trials to find the right means to actual test these, via the varMag method, which was, again, innovated by the author. 1. "The Concept of Wind in Traditional Chinese Medicine," NCBI, M. Dashtdar et.al., 2016, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5234349/ 2. "Chinese Etymology," http://hanziyuan.net/#%E6%B0%A3

Clinical Electric Field Measurements; In situ pre and post treatment measurement data with weather and space-weather, lunar and solar data, with self-reported pain and significance scales, in three phases of experimentation

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