Scientific Claim Evaluation Template¶
Template — instantiates Hypothesis Testing Frame
Prompts analysts to state claim, default, alternative, evidence, assumptions, thresholds, error costs, and interpretation limits.
A Scientific Claim Evaluation Template is a fill-in-the-blanks worksheet that forces the whole evaluation frame into writing before a verdict is reached. It is not a test and it computes nothing; it is a set of mandatory prompts — What exactly is being claimed? What would the alternative be? What would each kind of error cost us? What does this evidence NOT establish? — whose value is that an analyst cannot leave any of them blank. Its defining move is to make the reasoning explicit and auditable as a written record, surfacing the tacit assumptions and unstated limits that let a plausible-sounding claim slide through. What makes this THIS mechanism is that it is a documentation artifact whose job is completeness of the frame, not the crossing of any threshold.
Example¶
An analyst on a hospital's technology-review committee must appraise a vendor's claim that its AI triage tool "reduces missed sepsis cases." Rather than reacting to the marketing, she opens the standard evaluation template and fills each field. Claim under test: stated precisely — the tool lowers the missed-sepsis rate versus current nurse triage, in this hospital's patient mix. Alternative claim: she writes the competing possibility the vendor's framing hides — that the tool merely flags more cases overall, trading fewer misses for a flood of false alarms. Error costs: she records both — a missed sepsis case can be fatal; a false alarm consumes clinician attention and erodes trust — and notes they are gravely unequal. Interpretation limit: she writes that the vendor's evidence comes from a different hospital's population and says nothing about performance here, nor about causation.
By the time every field is filled, the appraisal has changed character: the impressive headline now sits beside an explicit alternative it never addressed and a limit that guts its transferability. The committee asks the vendor for the missing comparison instead of buying the claim as presented.
How it works¶
- Mandate the fields. Every prompt — claim, alternative, error costs, limits — must be answered; a blank is itself a finding.
- Force the competing story. Requiring the alternative claim in writing blocks one-sided framing where only the vendor's reading is considered.
- Record both error costs. Writing the false-accept and false-reject costs side by side prevents quietly optimizing for one.
- Bound the conclusion in writing. The limit field states what the evidence does not establish, so the verdict cannot silently overreach.
Tuning parameters¶
- Field set — which prompts are mandatory. More fields catch more gaps but raise the effort and the temptation to answer perfunctorily.
- Required specificity — whether fields accept a phrase or demand a defensible justification; stricter forces real thought but costs time.
- Blocking vs advisory — whether an unfilled field halts the review or merely flags it; blocking guarantees completeness but can stall on genuinely unknowable fields.
- Reviewer independence — whether the filler and the checker are the same person; separation catches motivated blanks.
When it helps, and when it misleads¶
Its strength is structural completeness: it makes it nearly impossible to accept a claim without having at least articulated the alternative, the error costs, and the limits — the very things a persuasive claim tends to omit. As a shared artifact it also makes appraisals comparable and auditable across a team.
Its failure mode is ritual: fields filled with box-ticking boilerplate that satisfy the form while performing none of the thought — the paperwork equivalent of what Feynman called cargo-cult science, where the outward motions are copied but the substance that made them work is absent.[1] A template can manufacture a look of rigor over a shallow appraisal. The guarding discipline is to demand justified, specific entries rather than slogans, have a second reader challenge thin fields, and treat the template as a prompt for reasoning, never a substitute for it.
How it implements the components¶
claim_under_test— the field forcing the claim to be stated precisely enough to evaluate.alternative_claim— the mandatory competing-explanation field that blocks one-sided framing.error_cost_profile— the paired false-accept / false-reject cost fields, recorded before a verdict.interpretation_limit— the field naming what the evidence does not establish, bounding the conclusion in writing.
It prompts for but does not itself set the numeric cut or gather the data: it does not implement evidence_threshold operationalization — that is Decision Threshold Rule — nor test_evidence collection, which is the work of Null Hypothesis Significance Test.
Related¶
- Instantiates: Hypothesis Testing Frame — the documentation realization that makes the whole frame explicit on paper.
- Sibling mechanisms: Falsification Protocol · Null Hypothesis Significance Test · Decision Threshold Rule · A/B Test Interpretation Protocol
Editorial Notes¶
Form Classification¶
Form family: Representation, Specification & Plan
Rationale: Scientific Claim Evaluation Template operates by externalizes claim, alternative, error costs, limits, and required evidence in a reusable template. That concrete deployed or enacted form is Representation, Specification & Plan under the frozen taxonomy.
Nearest alternative: Interface, Display & Cue — Although Interface, Display & Cue can support this mechanism, the frozen evidence makes its operative form the act that externalizes claim, alternative, error costs, limits, and required evidence in a reusable template; the alternative is therefore secondary rather than defining.
Review outcome: Adjudicated after independent review; high confidence.
Origin Attribution¶
Primary origin: Statistics & Experimental Design
Origin pattern: Cross-disciplinary synthesis
Present-day reach: Universal
Rationale: Explicit alternatives, evidence, thresholds, error costs, and assumptions are core scientific-inference practice.
Related originating lineages:
- Data Science & Analytics — Data science, analytics, and operational monitoring supplies a parallel or contributing lineage for the mechanism's defining operation: prompts analysts to state claim, default, alternative, evidence, assumptions, thresholds, error costs, and interpretation limits.
- Mathematics — Mathematical modeling, proof, and abstract-structure practice supplies a parallel or contributing lineage for the mechanism's defining operation: prompts analysts to state claim, default, alternative, evidence, assumptions, thresholds, error costs, and interpretation limits.
- Philosophy — Philosophical logic, epistemology, and normative reasoning supplies a parallel or contributing lineage for the mechanism's defining operation: prompts analysts to state claim, default, alternative, evidence, assumptions, thresholds, error costs, and interpretation limits.
Review resolution: Both blind reviewers agree that statistics_experimental_design is the primary historical origin. Explicit reconciliation of alternate_origin_disagreement, domain_reach_disagreement starts from reviewer_a's mechanism-specific evidence: Explicit alternatives, evidence, thresholds, error costs, and assumptions are core scientific-inference practice. Reviewer A proposed alternates=philosophy, origin_mode=cross_disciplinary_synthesis, domain_reach=universal, and encyclopedia_synthesis=true; reviewer B proposed alternates=data_science, mathematics, philosophy, origin_mode=cross_disciplinary_synthesis, domain_reach=multi_domain, and encyclopedia_synthesis=true. The final record retains every independently supported alternate from either review (philosophy, data_science, mathematics) without an arbitrary cap, selects origin_mode=cross_disciplinary_synthesis to represent the combined lineage evidence, and records domain_reach=universal and encyclopedia_synthesis=true. Present-day transfer is recorded as reach and is not treated as proof of historical origin.
Encyclopedia synthesis: The exact catalogued form synthesizes established practice rather than reproducing a single standard historical label.
Review outcome: Reconciled after independent review; high confidence.
References¶
[1] In his 1974 Caltech commencement address, physicist Richard Feynman coined "cargo cult science" for work that mimics the outward forms of rigorous inquiry while missing the substance that makes it trustworthy. A template filled with box-ticking boilerplate is precisely this failure: the form is honored, the reasoning skipped. withdrawn registry ↩