evaluative-reasoning-deception

What problem does it solve?

It helps practitioners and researchers avoid common myths and cognitive biases when judging the truthfulness of claims by providing a structured, scientific framework for evaluative reasoning and probabilistic judgment.

Core Features & Use Cases

• Structured assessment process: Phase-based workflow (claim clarification, premise identification, evidence quality assessment, alternative hypothesis generation, Bayesian updating).
• Practical interview techniques: Guidance on designing information-gathering interviews, cognitive-load and unexpected-question tactics, and SUE-style evidence confrontation.
• Decision support for diverse contexts: Use in hiring decisions, investigative interviews, compliance reviews, media fact-checking, and research evidence appraisal.
• Interpretability and ethics: Emphasizes transparent reasoning, explicit priors/likelihoods, limits of inference, and ethical constraints to minimize false positives.

Quick Start

Assess the credibility of the claim by listing available supporting and contradicting evidence, estimating a probabilistic confidence, and recommending targeted follow-up questions or evidence-gathering steps.