Correction
Data Analytics
Why Analysts Spend 80% of Their Time Cleaning Bad Data
Dirty data silently breaks dashboards, ML models, and million-dollar decisions. See the 10 quality problems that cause it and how to catch them early.
What was corrected
What the page claimed
Article attributed a specific real-sounding statistic to a specific named expert and publication venue that could not be verified as the actual source.
What was corrected
Corrected the attribution to the real source (Fetzer and Graeber's study) and the real metric it measured (additional infections, not contacts not notified), while preserving the accurate core statistic of 15,841 dropped cases.
Why this is better
A real number from a real study was reattributed to a different real expert and an unverified publication venue, the same fabrication pattern found across this batch of legacy articles.