← New search
🌐 Live WebBeta — synthesis improving
What evidence shows that it actually works?
3 modelsComplete
60%Consensus Score — 3 models mostly agreed, with some nuance. Read the breakdown.
🔴Semantic Entropy — Fragmented · 2 distinct meanings across 3 responsesH=58%
60%
consensus
Contested topic
How much the models agreed on this answer
This topic is genuinely contested — read the individual model responses for different perspectives.
Models agree on
- ✓Need for clarification on what 'it' refers to
- ✓Hierarchy of evidence (Systematic Reviews & RCTs being strongest)
- ✓Importance of peer-reviewed research, replication, and study design
- ✓Mechanistic plausibility and magnitude of effect as key evaluation criteria
- ✓Examples (medical, marketing, educational) illustrating evidence types
To answer 'What evidence shows that it actually works?' effectively, we must first clarify what 'it' refers to, as evidence varies widely depending on the subject (e.g., a medical treatment, an educational method, or a marketing strategy).
General Hierarchy of Evidence (Strongest to Weakest)
- ·Systematic Reviews & Meta-Analyses – The most reliable, combining results from multiple high-quality studies.
- ·Randomized Controlled Trials (RCTs) – Gold standard for intervention testing (e.g., medications, therapies), with random assignment to minimize bias.
- ·Observational Studies (Cohort/Case-Control) – Useful for identifying associations but weaker than RCTs for causality.
- ·Cross-Sectional Studies & Anecdotal Evidence – Limited by lack of temporal or controlled data.
Key Considerations When Evaluating Evidence
- ·Peer-Reviewed Research: Studies published in reputable journals undergo expert scrutiny.
- ·Study Design Strength: RCTs and meta-analyses are superior to observational or anecdotal reports.
- ·Replication: Independent validation of results increases credibility.
- ·Mechanistic Plausibility: Understanding how something works supports its effectiveness.
- ·Magnitude of Effect: Not just whether it works, but how well.
- ·Conflict of Interest: Assess funding sources (e.g., company-sponsored studies).
Examples of Evidence by Category
- ·Medical Treatments: FDA approval requires Phase III RCTs vs. placebo.
- ·Diet/Supplements: Look for systematic reviews of human trials, not testimonials.
- ·Marketing/Technology: A/B testing or longitudinal performance metrics.
To provide a precise answer, specify the subject (e.g., 'Does intermittent fasting work for weight loss?'). Without context, these principles help evaluate claims across domains.
Follow-ups
You just saw open-source models answer
Want GPT-5, Claude, Gemini & more on the same question?
Sign in free to run any question against frontier models — side by side, same synthesis, honest comparison.
GPT-5Claude SonnetGemini 2.5 ProGrokDeepSeek R1Perplexity Sonar