Data Quality Reports — evidence of integrity, month after month
We publish short, visual snapshots of real study hygiene—bot removals, fraud detection and human review. Explore the latest reports or subscribe and get a new one in your inbox each month.
AI-driven fraud checks flag bots, duplicates, and synthetic responses before they pollute your data.
No data leaves our hands without a manual pass. We look for coherence, relevance and context.
Every report links to methodology notes and the month’s removal rationale.
Monthly data quality reports
Short, visual PDFs. Click to open the full report.
Avg removal rate: 66% across 5 studies
Avg removal rate: 41% across 6 studies
Avg removal rate: 43% across 7 studies
Latest monthly data quality metrics
Avg removal rate: 53% across 7 studies
Avg removal rate: 21% across 7 studies
Avg removal rate: 34% across 7 studies
Avg removal rate: 36% across 8 studies