Concepts
The irreducible epistemic atoms underlying the curriculum. 4,828 atoms across 8 types
Rule
When a pattern reverses across subgroups, disaggregate…
When a pattern appears to reverse across subgroups in your data, disaggregate by relevant context variables (sleep, stress, social setting) before drawing conclusions from the aggregate pattern.
1 lessondata-analysiscritical-thinkingpattern-recognition
Rule
Validate patterns with three filters
Before concluding a pattern is meaningful, verify it survives three independent filters: sample size check (occurrences vs. opportunities), base rate comparison (frequency vs. background rate), and alternative explanation generation (minimum two alternatives).
1 lessoncritical-thinkingpattern-recognitioncalibration
Rule
Check subgroup relationships before aggregating…
Before aggregating data across subgroups, check whether the relationship holds within each subgroup independently, as aggregate patterns can reverse at the disaggregated level (Simpson's paradox).
1 lessondata-analysisstatistical-thinkingcognitive-bias