Understanding science

The importance of red teams

“The first principle is that you must not fool yourself—and you are the easiest person to fool.” —Richard Feynman

COVID-19

COVID-19: What’s wrong with the models?

Originally written as an internal memo on April 15, 2020; updated and shared publicly on April 20

COVID-19

How to interpret screening tests: video, spreadsheet, and primer

An overview of how to interpret screening tests for COVID-19 (and diagnostic testing & screening in general).

Understanding science

Multiple problems with a study linking proximity to major roads to dementia, Parkinson’s disease, Alzheimer’s disease, and MS

“You miss 100% of the shots you don’t take.” —Wayne Gretzky

Nutritional biochemistry

The red meat and plant-based recommendation wars

Does reducing meat consumption improve health?

Mental models

The pleasure of finding things out

Why do those last few “O”s in a bowl of Cheerios tend to clump together in the middle of the bowl or around the edges?

Diseases

Alzheimer’s disease and glucose metabolism

“In Alzheimer’s Research, Glucose Metabolism Moves to Center Stage.”

Mental models

The killer(s) on the road: reducing your risk of automotive death

How, where, and why do most people die behind the wheel of an automobile? Is there anything we can do to prevent deaths on the road?

Mental models

Making sense of tragedy

As soon as this week’s podcast with Ryan Holiday went up people began contacting me to say how timely it was, if not outright eerie, given it was recorded a few months earlier. Only the day before it was released, we learned about the tragic helicopter crash that claimed the life of Kobe Bryant and his 13-year-old daughter, along with seven other people.

Understanding science

Nobel retractions

On January 2nd, Arnold made headlines after announcing she and her co-authors retracted a paper that was published in the prestigious journal Science in May of 2019, 7 months after winning the Nobel Prize.

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