From the makers of Lewsearch
The Lewsearch Report
Consumer and public-opinion data from calibrated synthetic panels — published before the human benchmarks, then scored against them in public. Every issue ships with its full methodology, raw data, and the error we got wrong last time. Free to cite with attribution.
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All issues
Back-to-School 2026: America's First Agentic Shopping Season
6,500 simulated Americans on school spending and AI shopping — with spending predictions frozen before NRF's 2026 human benchmark, to be scored in public when it drops.
Prince George's County: the Data-Center Moratorium
Overnight county-level read published before the July 7 Council vote. n=600 simulated respondents matched to the county's census profile.
1 · Simulated, disclosed
Findings come from Lewsearch's synthetic panels — AI respondents grounded in U.S. census demographics and calibrated against real surveys. No humans are interviewed, and every page says so.
2 · Predict, then verify
Where a human benchmark exists (NRF, Pew, election results), we publish our numbers first, freeze them, and append a public scorecard when the ground truth lands — hits and misses alike.
3 · Published error
The pipeline behind every issue runs at 7.47% pooled mean absolute error across 460 cross-validated benchmark questions. Full methodology →
Citing this data
All findings are free to republish with attribution to “The Lewsearch Report” and a link to the issue. Please describe the data as what it is: a calibrated synthetic panel with published error rates, not a traditional human survey. Press inquiries, custom cuts of the data, or a topic you want a fast read on: jeffrey@lewsearch.com