Uncertainty, Evidence & Inference Failure

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A belief, claim, explanation, forecast, comparison, or causal conclusion is not adequately warranted by the available evidence and assumptions.

This problem family contains 101 solution archetypes and 829 mechanisms. Choose a more specific problem pattern below; each subfamily page drills into the mechanisms inherited from its archetypes. Click a column header to sort.

Problem subfamily	Mechanisms	Archetypes	Description
Belief Bias, Confidence & Revision Governance	64	9	Affect, anchors, identity, familiarity, consensus assumptions, and domain overreach distort confidence or prevent warranted belief revision.
Causal, Counterfactual & Attribution Validity	79	9	Association or observed outcome is assigned causal meaning without a mechanism, valid counterfactual, confounder control, or correct level of change.
Comparator, Value, Demand & Outcome Calibration	74	8	Performance, demand, preference, regret, and realized outcomes lack a legitimate feasible benchmark that accounts for risk, constraints, and selection.
Evidence Fusion, Correlation & Expert Aggregation	82	10	Multiple signals, sources, models, or experts are combined without reliability weights, independence checks, shared-lineage controls, or conflict handling.
Evidence Warrant, Source & Observation Chain	84	10	Observations, absences, reports, reputations, and sources are treated as self-evident proof without an explicit chain from trace to claim.
Experimental Comparison & Hypothesis-Test Design	91	9	Treatment, control, assignment, blinding, power, and evidence thresholds are insufficiently designed to support the intended comparison.
Explanatory Hypothesis, Pattern & Case Reasoning	75	11	Partial or recurring observations are forced into a favored explanation, analogy, pattern, or universal before alternatives and boundary cases are tested.
Forecast, Scenario, Assumption & Sensitivity Uncertainty	69	8	Plans and forecasts hide assumption dependence, alternative futures, reference-class evidence, revision conditions, and uncertainty ranges.
Premature Release & Missing Robustness Evidence	27	5	A product, policy, intervention, or dose commits before real-context tests, perturbations, edge scenarios, and response evidence validate its operating logic.
Probability, Distribution & Risk Calibration	58	7	Probability, uncertainty intervals, tails, multiplicity, and variability are interpreted under hidden frames or assumptions that misstate risk.
Sampling, Selection, Missingness & Generalization	65	8	Observed cases differ systematically from the target because entry, dropout, missingness, case choice, or reuse beyond the sampled domain is ungoverned.
Temporal Process, Nonstationarity & Trend Inference	61	7	Historical and sequential evidence is treated as stable, deterministic, or self-explanatory despite drift, dependence, trends, survival conditioning, and time ordering.