Unlock: Non-Probability Sampling

Convenience and opt-in samples do not give probability-of-inclusion guarantees. The data-defect identity (Meng 2018) shows why a massive convenience sample can produce a confidently wrong answer. Repair methods: calibration, sampling-score weighting, mass imputation, doubly robust integration with a probability sample, and sensitivity analysis.