How epidemiologists try to fool us with flawed statistical practices

We have just completed a study for the National Association of Scholars [1] that took a deep dive looking at flawed statistical practices used in the field of environmental epidemiology. The study focused on air quality−health effect claims; more specifically PM2.5−health effect claims. However, the flawed practices apply to all aspects of risk factor−chronic disease research. The study also looked at how government bureaucrats use these claims to skew policy in favor of PM2.5 regulation and their own positions.