COVID Data & Death Counts: Why Tucker Calls the Stats “Unusable” | Jeffrey A. Tucker

https://www.buymeacoffee.com/slobodnipoI Tucker argues that many COVID-era decisions were driven by models and statistics built on flawed inputs — including what he calls unreliable testing. He claims this made it hard (or impossible) to know how many people truly died from COVID versus with COVID, and adds an allegation about financial incentives affecting hospital reporting. He also attacks “millions of lives saved” vaccine narratives as bad science driven by conflicts of interest — urging viewers to question how those numbers were produced. Full episode: https://www.youtube.com/playlist?list=PLJTy3oXCzHShsVuJ-zfiGnx96nuR-BNWB WEB: https://slobodnipodcast.hr/2024/12/22/slobodni-podcast-99-jaffrey-a-tucker-grat-barrongton-declaration/