You are proving my point. The CDC has faced several instances where its data was inaccurate or misrepresented: - COVID-19 Death Overcount: In 2022, a coding er

You are proving my point. The CDC has faced several instances where its data was inaccurate or misrepresented: - COVID-19 Death Overcount: In 2022, a coding error led the CDC to overcount 72,277 COVID-19 deaths across 26 states. Source: https://www.theguardian.com/world/2022/mar/24/cdc-coding-error-overcount-covid-deaths https://www.theguardian.com/world/2022/mar/24/cdc-coding-err... - Maternal Mortality Data: Changes in death certificate reporting, particularly the addition of a pregnancy checkbox, resulted in overcounts of maternal deaths due to false positives. Source: https://www.theatlantic.com/podcasts/archive/2024/08/maternal-mortality-crisis-pregnancy-data/679367/ https://www.theatlantic.com/podcasts/archive/2024/08/materna... - Lead Exposure Report: A 2004 CDC report underestimated the impact of lead-contaminated water in Washington, D.C., leading to criticism over its data accuracy. Source: https://en.wikipedia.org/wiki/Morbidity_and_Mortality_Weekly_Report https://en.wikipedia.org/wiki/Morbidity_and_Mortality_Weekly... - Property System Data: An audit revealed that the CDC's property system data was neither accurate nor complete, with an estimated $29.2 million of property at risk of being lost or misplaced. Source: https://oig.hhs.gov/reports/all/2016/centers-for-disease-control-and-preventions-property-system-data-were-neither-accurate-nor-complete/ https://oig.hhs.gov/reports/all/2016/centers-for-disease-con... These instances highlight that data, even from reputable sources, can be subject to errors, misinterpretation, or manipulation, underscoring the need for critical analysis beyond face-value acceptance.