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Model answers are probabilities, not verdicts.

Dimension 01 / 10

Error feedback

30.1%Bullshit weight
Model confidence33.3%

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.64.78%
  • 1 · 0.85It produces unverifiable ad-hoc explanations whose only function is to protect the core claim from refutation.27.99%
  • 2 · 1.00It interprets every contrary piece of evidence as proof of a deliberate conspiracy, data manipulation or a cover-up by outside institutions.1.60%
  • 3 · 0.95It blames the missing result on the recipient's wrong intention, lack of faith or insufficient commitment.1.13%
  • 4 · 0.80It avoids confronting error by making predictions so vague that any outcome can be called a success after the fact.4.51%

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 feedback30.1%33.3%
Causal carrier3.3%89.1%
Blinding test42.6%7.5%
Falsifiability23.4%31.7%
Semantic precision43.0%14.3%
Ockham's razor30.3%42.2%
Measurement network13.5%56.4%
Operator independence4.7%83.9%
Model evolution42.9%12.1%
Risk asymmetry36.1%51.8%
Model provenanceliquid/d1-ultra-20261015 · Oct 30, 2026

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