Your core interests are deeply personal
50 writings about "consciousness"
Measures are naive: keyword tags on posts, Jaccard-style pair strength for overlap, and static cluster lists in code—not embeddings or latent topics.
Quarterly frequency of top 5 topics. Formula: frequency(tag, quarter) = count(posts in quarter where tag ∈ post.tags)
Calculating data...
Topics with highest growth rates. Formula: growth_rate = ((recent_count - early_count) / early_count) × 100
Calculating data...
Friendly readings of the counts above—take as prompts, not statistically validated claims.
Your core interests are deeply personal
50 writings about "consciousness"
You explore diverse life areas
6 different life areas represented
Your interests have strong connections
20 strong topic relationships
You focus on what matters most
246% of writings in top 5 topics
Raw frequency in the archive plus category weights from taxonomy metadata.
These “clusters” are hard-coded slug lists—not learned communities. Useful for aligning with YOUR categories, misleading if read as clustering output.
Rule: if a post has any tag from the bucket’s list, it counts once. Overlaps across buckets are possible.
Strength = joint count ÷ min(individual tag counts) on the same post.
Topic Frequency: Posts per tag / Total posts
Top Topic Concentration: Most frequent tag / Total posts × 100
Topic Diversity: Number of unique tags used
Topic Balance: Stable areas / Total areas × 100
Growth Areas: Topics with increasing post frequency
Declining Areas: Topics with decreasing post frequency
Stable Areas: Topics with consistent post frequency
Trend Distribution: Growing/Declining/Stable topic counts
Co-occurrence Strength: Shared posts / Total posts with either tag
Relationship Percentage: Co-occurrence count / Total posts × 100
Topic Clusters: Groups of frequently co-occurring tags
Cross-pollination: Tags that appear together across different posts
Maslow Distribution: Posts per life area / Total posts × 100
Area Concentration: Most focused life area percentage
Balance Score: Evenness of distribution across life areas
Growth Trajectory: Life area focus trends over time
Analysis identifies 1 significant challenges. 7 objective metrics provide baseline data.