Sampling, Inference & Statistical Bias

Primes about drawing valid inference from samples and combining noisy evidence: representativeness, selection and theoretical sampling, Bayesian cue integration and ensembles, and the perceptual traps — clustering illusion, false-positive and inspection paradoxes, calibration anomalies — that distort it.

12 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.

• Bayesian Cue Integration — — · mid
• Calibration Anomaly — — · crowded
• Clustering Illusion — — · crowded
• Dimensional Analysis — mixed-structural · distinctive
• Ensemble — structural · distinctive
• False Positive Paradox — — · mid
• Inspection Paradox — — · distinctive
• Parallel Independent Inspection — — · distinctive
• Reality Monitoring — — · mid
• Sampling (Representativeness) — structural · crowded
• Selection Bias — mixed-structural · crowded
• Theoretical Sampling — — · crowded