Method verification · cohort recruitment · new positioning.
You've worked with people — or yourself — for years. You see results. You know your method (or practice) changes lives. But when someone asks "is there any research?" — you answer with testimonials. This course turns your magic into science, your stories into data, and your practice into a verified product with a cohort of paying clients.
A practitioner of a "soft" profession — psychologist, coach, yoga teacher, body therapist, method author — holds their method on conviction built from accumulated practice stories: "I've seen hundreds of people, I know it works." Honest knowledge, but non-transferable and unprovable.
| You want | What you actually have |
|---|---|
| Raise your price | A competitor with less experience charges more — and you don't understand why |
| Scale | Your knowledge doesn't transfer: a student can't reproduce the result without you |
| Protect your method | You get copied — and you can't prove it's yours |
| Reach the global market | You don't know where to start or what language to speak with science |
The researcher stands elsewhere. Not "I believe my method works", but "here is exactly what it changes, in whom, over what period, by what mechanism — and here is what would count as proof that it did NOT work".
Verification of wearables and AI in client work is the most modern way to work with both client and self. You collect objective data (EEG, trackers, labs), analyze it with AI, and see what actually affects state — and how to influence it. This changes both practice and research: you lead the client by data, and verify your method as a reproducible protocol.
ONTO NOTHING is just one of the methods you can study with this logic. The course is not tied to a specific practice: you can verify your coaching, therapy, meditation, biohacking protocol, or self-research the same way. One logic — measure, triangulate, prove.
An invitation into the most modern way of client work and research — through wearable verification and AI. For anyone who works with people or themselves and wants to see data, not reviews.
Each week — one rhythm:
The methodology the whole program is built around.
Why measure at all. What a measurement is and why the before → during → after scheme. Three layers of data:
Why triangulation (intersection of three layers) = proof, not a review. What counts as real change: MCID (clinically meaningful change, e.g. −4 points on GAD-7) and RCI (reliable change index). This removes the fear "what if it's placebo."
The course rests on a reproducible design. You don't "collect reviews" — you build a study that survives scrutiny.
Methodology result: by the end of the course you have a white paper of your method — fixed, verifiable, ready for publication and to become the basis of your positioning.
Each module = one data source you connect to your cohort.
Validity, Cronbach's alpha, normative samples, thresholds. GAD-7 (91%), PHQ-9 (up to 93%), PSS-10, HAKEMP-90, ISI, MAAS, ATQ-30. Why science trusts them: ICD-10 / DSM-5, Russian Ministry of Health.
HRV, resting pulse, sleep, recovery, ECG. Garmin / Whoop / Oura / Apple Watch. "Stress delta" PSS-10 vs HRV. 15 tracker metrics as triggers.
Neiry EEG: alpha/theta, relaxation index, NSI / MNPI. Cases: Victor Zhuravkov — ×2.36, bio-ritual −49%. Neurobend as a paid module on EEG base.
Morning/evening reflections, flow, AI vocabulary shift before/after. Mimetic — triggers and hooks. Researcher's journal.
Cortisol, inflammation (CRP, ferritin), glucose, lipids, hormones → ECG, MRI → DNA test. The method works against real biology.
15 tracker metrics + neurobend + tests + reflections → triggers for Reels / TikTok (12 neuro-pulses + 6 channels). AI writes and edits.
NDA, education law and research law, what's prohibited, what causes problems, what to register, pre-registration (OSF, ClinicalTrials.gov).
Where to place: OSF, SSRN, Preprints.org, ResearchGate, Zenodo, bioRxiv/medRxiv. AI generates article drafts from auto-reports and dashboard.
MASTER NIHILO 2.0 is not "lectures about science" but a working pipeline: in 40 days you go from packaging your method to a launched cohort and a sales lecture.
Eight "Science of…" modules — each opens one proof channel and gives ready-made lessons.
How to turn a questionnaire into scientific evidence: validity, reliability, diagnostic thresholds and normative samples.
The body as an objective device: what trackers output and how to read the signal through the noise.
EEG as a reproducible signal of consciousness and a product built on it.
The client's word is also measurable data.
Your body's metrics — from simple to deep complexity.
How data becomes promotion and sales you can't argue with, and how to grow the ticket.
Why a master needs law, not just a method. Research with people is a regulated zone.
How cohort data turns into a public scientific footprint.
The course runs on the ex NIHILO platform — you don't just learn, you immediately run research on yourself and your cohort through the bot.
Technology partners: Neiry (EEG), Garmin / Whoop / Oura (trackers) — the equipment on which you officially confirm your results, and which can be purchased at a discount as a course participant.
Like Apple: first the filling, then — what you actually get.
Result: you run and verify your method's results, get a white paper, a launched cohort, a sales lecture and a research archive you can't argue with — because there's a device behind it.
Without this, the course would be "selling air."
The course is not a separate sale, but a condition of certification. We don't charge for entry and don't mix it with the subscription as a "free bonus-air": the course opens the certified master ONTO NOTHING status, the subscription — gives access to the platform and infrastructure.
Why this way. A separate entry fee cuts the funnel and slows method popularization — which is the beta's goal. The base is free with the subscription so there are as many masters as possible; we monetize not the entry, but the network the master builds (client subscriptions, referrals, equipment). The paid premium module is for those who need depth beyond the base, and doesn't mix with the core.
40 days. 8 modules "Science of…". One live session per week. On the output — a launched cohort, a conducted sales lecture and a research archive you can't argue with, because there's a device behind it.
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