01 — The Problem
Cannabis research cannot currently achieve double-blind conditions.
Reliable blinding — the methodological cornerstone of any RCT — is largely absent from cannabis research. Participants in most cannabis trials know which condition they are in from taste, smell, and subjective effect.
The National Academies of Sciences (2017) identified cannabis blinding as a priority methodological gap. A systematic analysis of the CANNA-TICS trial literature (Frontiers in Neuroscience, 2022) found blinding assessments in fewer than 2% of published studies.
In within-subject crossover designs — where participant expectancy is the primary confound — the absence of a standardised blinding instrument makes it impossible to distinguish pharmacological from expectancy-driven effects.
National Academies of Sciences, Engineering, and Medicine (2017). The Health Effects of Cannabis and Cannabinoids.
CANNA-TICS investigators (2022). Frontiers in Neuroscience.
"Only 2% of cannabis trials report blinding assessments. The National Academies of Sciences identifies cannabis blinding as a priority methodological gap. No standardised instrument exists for blinding participants to cannabis type in within-subject study designs."
02 — The Instrument
Two NFC-enabled tubes. One app. A complete session protocol.
Blindfold is a self-contained blinding instrument: two machined identical-looking tubes, an NFC read/write protocol, and an iOS/Android app that holds the allocation key while the participant does not.
03 — Study Designs Enabled
Five study designs now within reach.
04 — Current Limitations
What this instrument cannot yet do.
Disclosed here so you can assess fit for your study design without wasted back-and-forth.
Combustion and vapourisation only. The tube format is designed for pre-roll or loose flower. Edible, tincture, or topical administration is outside the current instrument scope.
Identical sample format required. Both conditions must be the same format and weight in the tube. Mixed-format comparisons (e.g. flower vs. concentrate) cannot currently be blinded with this instrument.
Smell-based unblinding is not addressed. The tube caps reduce but do not eliminate pre-session olfactory cues. Highly trained cannabis users may be able to identify condition from smell before consumption.
Not yet peer-reviewed. Blinding integrity data comes from our consumer trial population (n≈200 sessions). No published academic validation exists. Pilot collaboration is the mechanism for generating that evidence.
App data is session-level, not clinical-grade. The app logs session events with timestamps. Integration with REDCap, eCRF, or study-specific data pipelines requires custom export — available on request.
05 — Collaboration
Free for pilot studies. Data stays with your group.
The goal is to get this instrument into research designs where it generates publishable blinding integrity data. There is no licensing fee, no royalty, and no claim on your study's results.
06 — Get in Touch
If your study needs a blinding instrument, let's talk.
Email directly — no form, no sales process. Describe your study design and what you need. If there's fit, we can have kits to you in days.
blindfold@riddimsoftware.com
Blindfold is built by Riddim Software Inc., Toronto.
Research enquiries: blindfold@riddimsoftware.com · Subject: "Blindfold research collaboration"