Protocols
Every experiment begins with a question: What happens if I try this?
A Protocol gives that question structure.
It turns curiosity into a method — a repeatable path that others can follow, verify, and build upon.
Definition and Purpose
Protocols are the backbone of Signal.
Each one is a structured framework for running a measurable experiment — from recovery peptides to fasting regimens to sleep optimization.
They define:
- What is being tested
- How it should be measured
- When data should be logged
- What counts as success
By standardizing these parameters, protocols turn isolated self-experiments into data that can be compared, aggregated, and validated.
They make real progress visible — not as anecdotes, but as evidence.
Lifecycle (Creation → Participation → Verification)
Every protocol moves through three stages:
1. Creation (by Pioneers)
Pioneers design protocols based on emerging research, clinical knowledge, or field-tested insights.
They submit them for peer and DAO review to ensure clarity, safety, and scientific value before they go live on Signal.
Once approved, the protocol becomes an NFT — a unique, verifiable object that can be shared, funded, and replicated.
2. Participation (by Champions)
Champions select a live protocol to join.
They receive clear instructions, dosage or behavior guidelines, and the required tracking inputs (wearables, labs, or self-reports).
Throughout the process, their data is securely logged — timestamped, encrypted, and linked to their pseudonymous ID.
3. Verification (by Oracles and Verifiers)
After the experiment ends, the results are verified.
This involves validating biomarker shifts, timestamps, and completion metrics through oracles and approved Verifiers.
If the data meets verification standards, the Champion’s outcome mints a Proof of Progress (PoP) — an immutable record tied back to the original protocol.
This proof feeds into the shared Signal data graph, strengthening both the Pioneer’s credibility and the protocol’s evidence base.
How Protocols Become Replicable Science
Science depends on replication — and that’s what Signal makes possible.
When multiple Champions run the same protocol under different conditions, their verified outcomes begin to form statistical patterns.
These patterns reveal what truly works, for whom, and under what circumstances.
Each verified run increases the protocol’s resolution — its accuracy and reliability as a real-world experiment.
Over time, these protocols evolve like open-source projects: refined, versioned, and improved through collective testing.
Protocols don’t just describe what to do — they record how progress happens.
Together, they form a living archive of applied human biology.
Example: A Champion Completing a Live Protocol
A Champion joins the “Recovery Protocol: BPC-157 + Collagen Support.”
They commit to a 4-week regimen with daily logs, wearable sleep data, and one baseline and post-cycle lab test.
As data flows in, Signal’s oracle verifies time stamps, biomarker changes, and device consistency.
At completion, the results are validated, and a Proof of Progress (PoP) is minted.
The Pioneer earns recognition for designing a reproducible framework.
The Champion earns $SGNL for verified contribution.
And the data — now trusted, traceable, and standardized — becomes part of the growing map of human improvement.
That’s how Signal turns everyday experiments into collective science.