Methodology
Our approach combines quantitative data analysis with qualitative cultural expertise. We believe that understanding what's truly "in" requires both rigorous measurement and intuitive cultural intelligence.
How We Determine Acceptance
Every trend evaluation follows a structured process that weighs quantitative signals against qualitative cultural analysis. Our Council members use a standardized rubric while maintaining space for nuanced judgment and dissenting opinions.
Data Sources & Weighting
Google Trends
Global search volume and interest over time
Social Platforms
Hashtag velocity, engagement rates, creator adoption
Market Proxies
E-commerce trends, Pinterest saves, Lyst searches
Council Expertise
Cultural context, authenticity assessment, longevity prediction
Evaluation Criteria
Cultural Impact
How significantly does this trend influence behavior, aesthetics, or social norms?
- Shifts in consumer behavior
- New aesthetic standards
- Changed social interactions
Data Signals
What quantitative evidence supports the trend's momentum and adoption?
- Search volume growth
- Social media velocity
- Commercial adoption rates
Longevity Potential
Is this a fleeting moment or a lasting cultural shift?
- Historical precedents
- Infrastructure requirements
- Generational adoption patterns
Authenticity Markers
Does this represent genuine cultural evolution or manufactured hype?
- Organic vs. astroturfed growth
- Creator vs. brand-driven
- Community engagement depth
Transparency & Integrity
What We Publish
- Complete voting records
- Data sources and methodology
- Dissenting opinions
- Council member accuracy rates
Conflict Prevention
- Anonymous Council identities
- Financial interest screening
- Recusal protocols
- Regular rotation of members
Limitations & Biases
We acknowledge that no methodology is perfect. Our approach has inherent limitations that we work to understand and mitigate:
- Geographic bias: Our data sources skew toward English-speaking, Western markets
- Platform dependency: Social signals rely on major platforms that may not capture all cultural activity
- Temporal lag: Some cultural shifts may be evident before appearing in our data sources
- Council composition: Despite diversity efforts, our panel represents specific perspectives and expertise areas