Dowsing

Claim: Dowsing allows practitioners to detect underground water, minerals, or other hidden materials using hand-held tools such as rods or pendulums.

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Model answers are probabilities, not verdicts.

Dimension 01 / 10

Error feedback

83.7%Bullshit weight
Model confidence85.7%

How does the examined system (claim, method or field) respond to inputs that directly contradict its predictions or assumptions?

  • 0 · 0.00It adjusts its parameters, narrows its scope or rejects the refuted hypothesis on the basis of repeated anomalies.4.43%
  • 1 · 0.85It produces unverifiable ad-hoc explanations whose only function is to protect the core claim from refutation.47.42%
  • 2 · 1.00It interprets every contrary piece of evidence as proof of a deliberate conspiracy, data manipulation or a cover-up by outside institutions.1.74%
  • 3 · 0.95It blames the missing result on the recipient's wrong intention, lack of faith or insufficient commitment.30.41%
  • 4 · 0.80It avoids confronting error by making predictions so vague that any outcome can be called a success after the fact.16.01%

The bar shows the probability the model gave each answer. The weight shows how much that answer counts as bullshit.

10 decision dimensions

View JSON
DimensionBullshit weightModel confidence
Error feedback83.7%85.7%
Causal carrier84.9%53.7%
Blinding test99.6%98.7%
Falsifiability76.0%37.4%
Semantic precision66.7%40.6%
Ockham's razor91.0%88.9%
Measurement network81.8%58.0%
Operator independence82.7%87.5%
Model evolution86.1%93.2%
Risk asymmetry64.6%64.9%
Model provenanceliquid/d1-ultra-20261015 · Oct 30, 2026

OpenRouter · liquid/d1-ultra · google/gemini-3.8-flash (canonicalisation)