evidence-weighing

Tactic for assessing the strength and relevance of evidence for causal claims — distinguishes correlation from causation.

Opciones de instalación

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Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

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npx skills add https://github.com/yogsoth-ai/knowledge-structuring --skill evidence-weighing

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¿Prefieres una copia local? Descarga los archivos que SkillsMP tiene disponibles ahora.

Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.

SKILL.md

Instrucciones de origen · Vista previa de solo lectura

SOP for detecting and resolving concept aliases — merge duplicate pages, redirect edges.

SOP for creating a claim page in the vault — atomic proposition with type classification, source attribution, and initial confidence.

SOP for creating a new concept page with proper frontmatter, content, and initial edges.

name	evidence-weighing
description	Tactic for assessing the strength and relevance of evidence for causal claims — distinguishes correlation from causation.
execution	tactic
used-by	causal-modeling, variable-identification, evidence-collection, model-validation

Assess the strength of evidence for causal claims. Not all evidence is equal — RCTs > observational studies > expert opinion > anecdote.

Hierarchy of evidence. Interventional > observational > theoretical > anecdotal.
Effect size matters. A statistically significant but tiny effect is weak evidence for practical causation.
Replication is king. Single studies are suggestive; replicated findings are convincing.
Confounders weaken. Evidence from studies with uncontrolled confounders gets lower weight.
Mechanism strengthens. Evidence backed by a plausible mechanism gets higher weight.

≥2 evidence assessments with explicit strength ratings per invocation.