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Model answers are probabilities, not verdicts.

Dimension 01 / 10

Error feedback

83.3%Bullshit weight
Model confidence93.3%

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.2.03%
  • 1 · 0.85It produces unverifiable ad-hoc explanations whose only function is to protect the core claim from refutation.58.22%
  • 2 · 1.00It interprets every contrary piece of evidence as proof of a deliberate conspiracy, data manipulation or a cover-up by outside institutions.3.49%
  • 3 · 0.95It blames the missing result on the recipient's wrong intention, lack of faith or insufficient commitment.8.49%
  • 4 · 0.80It avoids confronting error by making predictions so vague that any outcome can be called a success after the fact.27.77%

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 feedback83.3%93.3%
Causal carrier34.7%14.5%
Blinding test91.8%74.8%
Falsifiability83.5%55.4%
Semantic precision94.0%95.1%
Ockham's razor72.8%69.0%
Measurement network75.4%42.4%
Operator independence40.7%23.0%
Model evolution94.7%94.9%
Risk asymmetry61.1%92.0%
Model provenanceliquid/d1-ultra-20261015 · Oct 30, 2026

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