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Model answers are probabilities, not verdicts.

Dimension 01 / 10

Error feedback

57.5%Bullshit weight
Model confidence28.0%

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.34.87%
  • 1 · 0.85It produces unverifiable ad-hoc explanations whose only function is to protect the core claim from refutation.44.63%
  • 2 · 1.00It interprets every contrary piece of evidence as proof of a deliberate conspiracy, data manipulation or a cover-up by outside institutions.15.07%
  • 3 · 0.95It blames the missing result on the recipient's wrong intention, lack of faith or insufficient commitment.1.05%
  • 4 · 0.80It avoids confronting error by making predictions so vague that any outcome can be called a success after the fact.4.39%

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 feedback57.5%28.0%
Causal carrier7.7%74.6%
Blinding test30.6%18.2%
Falsifiability43.4%7.3%
Semantic precision30.6%29.9%
Ockham's razor78.9%45.7%
Measurement network35.6%17.0%
Operator independence21.4%40.4%
Model evolution78.0%42.1%
Risk asymmetry43.1%54.7%
Model provenanceliquid/d1-ultra-20261015 · Oct 30, 2026

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