The Council Room, from Let the AI Be Smart
Five AI models investigated this independently, cross-examined each other, and a synthesizer delivered this verdict.
The letter "r" appears 3 times in "strawberry."
Spelling it out: s-t-r-a-w-b-e-r-r-y, the r's fall at positions 3, 8, and 9 (one after "st," then a double-r in "berry").
Where the room agreed
All five voices independently counted 3, and this is directly verifiable by spelling out the word letter by letter, not a matter of opinion or majority vote but a checkable fact. The agreement here is meaningful because the evidence (the letter sequence itself) was actually shown, not just asserted.
Where it split and why
The only friction was Voice D's added claim that "many AI models initially miscount this as 2 due to tokenization issues," repeated with citation-like markers ([1][2][6]). Voices B, C, and E explicitly challenged this in debate as unsupported and irrelevant, a plausible-sounding but ungrounded meta-claim with no real evidence behind the citations. D did not withdraw it but doubled down, treating the phantom references as if they validated the tokenization explanation. This is a real, uncorrected disagreement about a side-claim, not about the count itself: the core answer (3) is solid, but D's causal story about *why* some models supposedly get it wrong is an unverified assertion that the rest of the room correctly flagged as weak.
Confidence
Very high confidence in the count: 3. This is a simple, directly checkable fact, confirmed identically by independent letter-by-letter enumeration across all five voices. Low/no confidence in D's unsupported tokenization-error claim, it should be disregarded as unverified.
The full method is in the book Run your own question
Models can be wrong, including together. Verify anything important. That is the point of the method.