People Who Chose the Preventive Natural Bioenergetics (NB) COVID-19 Treatment Safely Experienced a Significant Reduction of COVID-19 Symptoms Compared to the General Population
Bibliographic record
Abstract
BACKGROUND AND AIM: The aim of this study is to assess if people who chose to receive the preventive Natural Bioenergetics (NB) COVID-19 treatment would experience safely a strong reduction in frequency and severity of COVID-19 major symptoms (fever, cough, and shortness of breath) compared to the general population. Experimental procedure: The preventive NB COVID-19 treatment is a double acupuncture meridian-based procedure that primes the immune system using acupuncture points and specific substances and sounds on precise body locations. Four hundred and thirty-nine people from seven countries (Canada, USA, Mexico, UK, France, Israel, and Belgium) voluntarily received the non-invasive preventive NB treatment. Data used for this study have been gathered between April 2020 and December 2020. The severity of cases experienced by the general population was statistically compared with those of the 42 infected people of this study. RESULTS AND CONCLUSION: Our analysis suggests the population who chose to receive the preventive NB COVID-19 treatment experienced a strong reduction in frequency and severity of the three major symptoms of COVID-19 (p<0.01) compared to the general population. Nobody in that population needed hospitalization, including the elderly, which can be interpreted as a very significant clinical improvement. Most people did not report any side effects. Only small side effects were reported.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".