# Blinding

> Implement blinding procedures to reduce bias in experimental studies. Use when: (1) Designing RCTs, (2) Ensuring objectivity, (3) Meeting CONSORT standards, (4) Minimizing performance and detection bias.

- Skill: `majiayu000/blinding` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/blinding`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/blinding/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/blinding

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# Blinding Procedures Skill

## Purpose
Implement appropriate blinding to reduce bias in research studies.

## Types of Blinding

**Single-Blind**: Participants unaware of allocation
**Double-Blind**: Participants and researchers unaware
**Triple-Blind**: Participants, researchers, and analysts unaware

## Who to Blind

**Participants**: Reduce expectancy effects, placebo
**Interventionists**: Reduce performance bias
**Assessors**: Reduce detection bias
**Analysts**: Reduce reporting bias

## Blinding Strategies

**Medications:**
- Identical placebo (same appearance, taste)
- Over-encapsulation
- Matching packaging

**Behavioral Interventions:**
- Attention-matched control
- Active control condition
- Blind outcome assessors

**Assessments:**
- Automated/computerized measures
- Independent blinded raters
- Objective outcomes (less bias-prone)

## When Blinding Impossible

- Surgical interventions
- Exercise interventions
- Educational programs

**Mitigation:**
- Blind outcome assessors
- Use objective outcomes
- Report lack of blinding as limitation

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**Version:** 1.0.0

