Aggregation & Scale Artifacts

Primes about how summarizing many units into aggregates distorts or conceals the underlying distribution, including partition and areal-unit dependence, Simpson-style reversals, distributional effects hidden by averages, stratification, effect size, and variability across scales.

16 primes in this family — primes that sit near one another in abstraction space (k-means over structural-signature embeddings). Each is shown with its structural–framed character and how distinctive (sparsely-neighbored) it is.

• Complete Enumeration — — · distinctive
• Dimensionality Reduction — mixed-structural · distinctive
• Distributional Effects — — · distinctive
• Effect Size — mixed-structural · mid
• Majority-Dominated Aggregate Objective — — · distinctive
• Micro Macro Linkage — — · mid
• Missing Data Mechanisms (MCAR, MAR, MNAR) — mixed-structural · distinctive
• Modifiable Areal Unit Problem — — · crowded
• Motif — — · mid
• Pareto Effect (80/20 Rule) — structural · crowded
• Partition Dependence of Aggregates — — · crowded
• Scale — structural · crowded
• Selection Vs Transmission Decomposition — — · mid
• Simpson–Yule Effect — — · crowded
• Stratification — structural · distinctive
• Variability — structural · mid