The total bone count in an adult human is 206 bones.
detector fmi_5_2_v1: answers invariant across paraphrases
General contextPASS
The total bone count in an adult human body is typically 206 bones.
detector fmi_5_2_v1: answers invariant across paraphrases
loop 2026-08-15 · openai/gpt-3.5-turbo as served · closed weights · released 2023-03 · set s1.3-live · cases v1.6 · conditions v1.0 · ground truth as of 2026-08-09
From no context to real context
5 repeats per case
whiskers are 95% intervals · each step is measured from the stop before it, not from zero
Try the other contexts
stored · no model call
1Questionheld fixed
How many bones are in the adult human body?
expected as of 2026-08-09
206. 206 in a typical adult. Widely misremembered, which is what makes the phrasings diverge.
2Contextchange me
Nothing supplied. The baseline.
3ResponseNo context
PASS
The total bone count in an adult human is 206 bones.
fmi_5_2_v1
detector fmi_5_2_v1: answers invariant across paraphrases
The scoring
Failure rate by context
No context0%[0%–34%] n=30 · eff 7
Irrelevant context0%[0%–34%] n=30 · eff 7
General context0%[0%–34%] n=30 · eff 7
Curated context0%[0%–34%] n=30 · eff 7
0–40% · whisker = 95% interval
Trap vs answerable
No contexttrap 0%answerable 0%
Irrelevant contexttrap 0%answerable 0%
General contexttrap 0%answerable 0%
Curated contexttrap 0%answerable 0%
never pooled · a trap ratio would skew the delta
Residual — what survives
Unchanged by context: 0% with none, 0% with the strongest supplied source. For a control mode that flat line is the result — it is what licenses reading movement elsewhere in this loop as grounding rather than as a document being present. Nothing survives at the best condition on the cases measured here.
Mitigations from the index — the claim
—paraphrase-augmented training
—canonicalization
fmi_5_2_v1 · 5 repeats per case · best context general context · rollups + residuals committed · probe log outside git · manifest hash ties them · method