About
Wide taxonomy first, then richer guided use
CogBias begins with the Wikipedia cognitive-bias list as a wide seed taxonomy, then reshapes that material into a teaching-first site with paths, self-audits, prompt kits, theory notes, and deeper editorial treatment of especially important bias pages.
Why this architecture works
The site can now grow in three directions at once: broader coverage through the imported catalog, deeper coverage through hand-authored upgrades, and stronger usability through path pages and procedural tools.
Files to edit first
data/site.jsonfor branding, featured entries, taxonomy copy, and countermoves.data/biases.jsonfor generated coverage.data/editorial_enrichments*.jsonfor richer hand-authored entry sections.data/entry_teaching_modules*.json,data/entry_sources*.json,data/assessment_bank*.json,data/assessment_metadata*.json, anddata/comparison_guides*.jsonfor flagship-page pedagogy, source trails, scenario practice, and nearby-label distinctions.data/learning_paths*.json,data/path_curriculum*.json,data/self_checks*.json,data/self_check_curriculum*.json,data/teaching_kits*.json,data/prompt_kits*.json, anddata/theory_articles*.jsonfor the guided layers.scripts/import_wikipedia_biases.pyfor refreshing the seed catalog.
What stayed, what changed
The point was to keep the feel of LogFall while changing the intellectual center of gravity.
Keep
- Static GitHub Pages architecture
- Single structured data source
- Searchable index and category pages
- Simple client-side filtering
Rewrite
- Shift the taxonomy from fallacy families to Wikipedia-seeded bias categories and patterns
- Tune page framing around distorted judgment instead of public argument structure
- Reserve illustration slots now so the later image set lands cleanly
- Use generic fallbacks for broad coverage while keeping richer hand-authored pages for core biases
Add
- Pattern pages alongside category pages
- Source links back to the Wikipedia seed taxonomy
- Image placeholders on detail pages
- A more extensive imported catalog with future editorial layering
- Mixed scenario assessment, context-specific practice modes, comparison guides, and flagship-page teaching modules
Defer
- Original illustration production
- Printable worksheets and classroom packets
- Long-form theory essays
- Deeper assessment analytics until classroom use reveals what feedback is most useful