Hypothesis Testing Frame¶
Frame a claim against a default alternative so evidence can change belief or action under explicit error risks.
The Diagnostic Story¶
Symptom: Decisions about whether evidence is convincing happen after the result is known, and the threshold keeps shifting to match whoever is arguing. A null finding becomes proof of absence, while a significant finding becomes proof of importance and causality without checking whether the design could actually support those claims. Metrics get swapped mid-analysis for ones that gave a better-looking number. The process produces a verdict but not a trustworthy one.
Pivot: Fix the claim under test, the default position, the alternative, the evidence threshold, and the false-positive and false-negative costs before observing results. Define the decision rule so interpretation cannot move after the outcome is visible.
Resolution: Evidence is evaluated against a stable standard rather than a retrospective one. Post-hoc threshold shopping and burden-shifting become visible violations rather than normal practice. A result's meaning is bounded — inconclusive evidence stays distinguishable from proof of no effect, and a significant result stays distinguishable from proof of causality or practical importance.
Reach for this when you hear…¶
[drug approval] “You don't get to decide your primary endpoint after unblinding — that ship sailed when you filed the protocol.”
[fraud investigation] “The threshold for what counts as suspicious keeps moving based on who the suspect is, and that means the standard itself is the problem.”
[engineering reliability] “We need to agree before the test run whether a 5% failure rate is a pass or a fail — I'm not deciding it after I see the number.”
Mechanisms / Implementations¶
- Null Hypothesis Significance Test: A formal statistical mechanism for evaluating a default/null claim against an alternative under assumptions and thresholds.
- Decision Threshold Rule: A procedural mechanism that turns evidence into a status change.
- Quality Acceptance Test: An operational mechanism for accepting, rejecting, or reworking a batch, product, service, or process.
- A/B Test Interpretation Protocol: A product or service experimentation mechanism that interprets measured differences against planned metrics and launch criteria.
- Legal Burden-of-Proof Analog: A governance mechanism that assigns a default presumption and evidence burden before changing a status or imposing a consequence.
- Inspection Pass/Fail Test: A classification mechanism for checking whether an item meets criteria.
- Falsification Protocol: A mechanism for stating what would count against a favored claim before evidence is reviewed.
- Equivalence or Noninferiority Test: A mechanism for showing that a difference is small enough or that a new option is not unacceptably worse.
- Sequential Review Gate: A workflow mechanism for interpreting evidence at predefined milestones.
- Scientific Claim Evaluation Template: A template mechanism that prompts users to document claim, default, alternative, evidence, threshold, assumptions, error costs, and limits.
Related Abstractions¶
Abstractions this archetype builds on — directly (a source ingredient) or as a related pattern. Links follow the typed catalog namespace.
Built directly on (3)
- Hypothesis Testing (Null vs. Alternative): Null vs alternative evaluation.
- Statistical Significance (p-Value): Likelihood results are random.
- Type I & Type II Errors: False positive/negative.
Also references 8 related abstractions
- Bayesian Updating: Update beliefs with evidence.
- Effect Size: Magnitude of effect.
- Multiple Comparisons Correction: Adjust the thresholds or p-values of a defined family of simultaneous tests so a chosen family-level error criterion remains bounded despite multiplicity.
- Probability: Quantifies uncertainty and likelihoods.
- Reproducibility & Replicability: Repeatable results.
- Statistical Power: Probability of detecting effect.
- Threshold: Safe vs harmful levels.
- Uncertainty: Incomplete knowledge.
Variants¶
Narrower or domain-specific specializations that share this archetype's core structure. Recognized variants are established; candidate variants are provisional.
Null–Alternative Statistical Test Variant · mechanism family variant · recognized
A formal statistical variant that evaluates a null/default hypothesis against an alternative using a specified test statistic and threshold.
Superiority Test Variant · subtype · recognized
A variant where the alternative claims that one option, process, treatment, or policy performs better than the default or comparator.
Equivalence / Noninferiority Variant · subtype · recognized
A variant where the aim is to show that a new option is close enough to, or not unacceptably worse than, an existing standard.
Burden-of-Proof Variant · governance variant · recognized
A governance-oriented variant that assigns which side must provide evidence and what standard must be met before a presumption changes.
Falsification Frame Variant · risk or failure variant · recognized
A variant that defines in advance what observation would count against a favored claim so evidence search does not become one-sided confirmation.