Project Veilbreak

An open research framework by Code of Reality for documenting experimental protocols and collecting experiment data from community members — with a free public API. This is DannyGoler.org's independent analysis of that data.

Official site: veilbreak.ai · API docs: api.veilbreak.ai

What Veilbreak is

Veilbreak standardizes experimental protocols and captures quantitative and qualitative phenomenological data through structured questionnaires. Protocols specify parameters, methodology and equipment; participants submit results via the platform or API. It describes itself as part of the Code of Reality vision of "cognitive physics" (a proposed framework, not an established scientific discipline).

Public dashboard snapshot

2026-08-23

82± experiments

total submitted records

2026-08-23

8 protocols

different experimental setups

2026-08-23

~56 "observed"

marked as seeing the phenomenon

Snapshot values are re-verified against the live registry on each review — never permanently hardcoded.

Read this first: Community-submitted observational records, not a randomized controlled trial. Aggregate 'observed' counts are not a controlled replication rate: protocols, substances, wavelengths and outcome coding vary. Must be re-checked dynamically via the public API rather than hardcoded.

Why the raw count is not a replication rate

Data-quality tracker

Constructive documentation of potential issues, phrased as unresolved until independently resolved.

Potential data-quality issueDescriptionStatus
Dose metadataThe original paper describes 1 g loaded into the projection device, while Veilbreak metadata may treat 1000 mg as the participant dose.Potential data-quality issue (unresolved)
Projection distanceThe paper and Veilbreak baseline metadata appear inconsistent on projection distance.Potential data-quality issue (unresolved)
Unit anomaliesSome substance values appear incorrectly entered or converted.Potential data-quality issue (unresolved)
Outcome coding'Code Observed' can include very different kinds of reports — from brief structured forms to detailed glyph sequences.Known heterogeneity

What would make this data decisive

Consistent outcome definitions, protocol-level denominators, blinding, and cross-subject comparison under matched stimuli — see the decisive-experiment design.