John Hood explores how misinterpreting data can lead to flawed conclusions about government policies and their effectiveness.

Correctly distinguishing between correlation and causation is critical because it influences how treatments for illnesses are devised and tested. Also, in the context of the law, it ensures that as ...

Did you know you can customize Google to filter out garbage? Take these steps for better search results, including adding my work at Lifehacker as a preferred source. I usually focus on something a ...

Kwon is a Ph.D. student in health policy at Harvard University. Stuart is professor and chair in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. It is human ...

Russell has a PhD in the history of medicine, violence, and colonialism. His research has explored topics including ethics, science governance, and medical involvement in violent contexts. Russell has ...

Today’s post is the third, and final, one in a series providing guidance to teachers on how to interpret education research. Cara Jackson currently serves as the president of the Association for ...

Abel Garcia speaks to a doctor on a key distinction between acetaminophen, the active ingredient in Tylenol, and autism following the Trump administration's recent claims LAS VEGAS (KTNV) — The Trump ...

Even with all our progress in science and education, people still confuse correlation with causation. It's not just about not knowing statistics. This mix-up runs deeper. It's rooted in how our brains ...

When falls increase in a nursing home, the first reaction is almost always the same: call a meeting, schedule retraining, and remind staff to “be more careful.” It feels like action, but it’s often ...

Today, Artificial Intelligence (AI) has become a buzzword across industries. In finance, AI is used to identify fraud, automate lending decisions, predict stock price movements, and, in some cases, ...