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Kas Tālāk Aukstas Kodolsintēzes? .. Super Efektīvs Strāvas Ģeneratori Sacenšas par Cilveku Uzmanība(Kopsavilkumu Latviešu) / What's Next Cold Fusion? Fundamental Paradigm Shift in Energy Cleantech with Scientific, Economical & political impact

Kas Tālāk Aukstas Kodolsintēzes? .. Super Efektīvs Strāvas Ģeneratori Sacenšas par Cilveku Uzmanība(Kopsavilkumu Latviešu) / What's Next Cold Fusion? Fundamental Paradigm Shift in Energy Cleantech with Scientific, Economical & political impact

Kas Tālāk Aukstas Kodolsintēzes? .. Super Efektīvs Strāvas Ģeneratori Sacenšas par Cilveku Uzmanība(Kopsavilkumu Latviešu) / What's Next Cold Fusion? Fundamental Paradigm Shift in Energy Cleantech with Scientific, Economical & political impact

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Bio<br />

29: Measur<strong>in</strong>g BioEnergetic Field Effect<br />

• ->>cont: BioEnergetic field: ■β: Field affect<strong>in</strong>g: vi-Non contact Heal<strong>in</strong>g:<br />

• Because of alleged significant performance gap by practitioner(this factor is<br />

conveniently ignored by ma<strong>in</strong>stream & sometimes used to debunk entire healers<br />

claims), large control sample research of high performer for serious chronic<br />

disease is very difficult <strong>with</strong> current fund<strong>in</strong>g/profit structure(some exception <strong>in</strong><br />

Ch<strong>in</strong>a), while ma<strong>in</strong>stream will call such test "Immoral"(they declare nonlocality<br />

cannot have any physical effect etc), & can easily obfuscate experiments by<br />

pressur<strong>in</strong>g to set conditions that are design to have weaker effect(speculat<strong>in</strong>g from<br />

other medical tamper<strong>in</strong>g & numerous consistent examples of disruptive energy tech<br />

experiment tamper<strong>in</strong>g by ma<strong>in</strong>stream or its support<strong>in</strong>g & <strong>par</strong>asitic groups).<br />

• This issue can be equated to exaggerated example of marathon runn<strong>in</strong>g <strong>in</strong> which<br />

not all runners(e.g. equat<strong>in</strong>g as healer) necessarily runs marathon under 2h20m<strong>in</strong>s<br />

(e.g. equivalent of mean<strong>in</strong>g as strong heal<strong>in</strong>g effect), and some run at 3hrs(eg barely<br />

marg<strong>in</strong>al effect), and large majority runs marathon at 3.5hrs and more (eg zero<br />

effect or worse). So if randomly select 10 marathon runners(eg healers) to test "<strong>in</strong><br />

order to get fair controlled results" as average, there might be no effect at all, or<br />

one or two strong effect would become "statistical error" - hence still no effect at all.<br />

Furthermore, gather<strong>in</strong>g of high performance healers itself would become "selective<br />

data" and becomes void as qualified research by "trusted scientific protocol".<br />

-->>cont:<br />

270<br />

l<strong>in</strong>ked<strong>in</strong>.com/<strong>in</strong>/newnature<strong>par</strong>adigm -Ben Rusuisiak: Specialty <strong>Cleantech</strong> Analysis, Vancouver, Canada

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