Tag

Understanding science

Mental health

Alternative perspectives on drug use and addiction

Considerations for drug use and treatment

Nutritional biochemistry

#167 – Gary Taubes: Bad science and challenging the conventional wisdom of obesity

Doing a background analysis is the hard, relentless, rigorous grunt work of science. It’s endless and thankless, because if you do it right, all you’ll do is prove that you were wrong all along.” —Gary Taubes

Mental health

MDMA for PTSD?

MDMA-assisted therapy gets one step closer to its projected 2023 FDA approval

Mental health

Psilocybin for depression?

The psychedelic drug goes head-to-head with Lexapro in a recent trial

Understanding science

How teeth sense cold; the efficacy of digital advertising

A few things worth checking out: 05-16-2021

Understanding science

#159 – Peter Hotez, M.D., Ph.D.: Evolution of the anti-vaccine movement, the causes of autism, and COVID-19 vaccine state of affairs

“What started out as an anti-vaccine movement is now a movement against any kind of public health intervention and demonizing scientists and basically calling us the boogeyman.”  —Peter Hotez

Nutritional biochemistry

What gives Rice Krispies their pop and my related experiment

Explaining the Snap! Crackle! Pop! to my sons

Understanding science

#158 – Brian Deer: A tale of scientific fraud—exposing Andrew Wakefield and the origin of the belief that vaccines cause autism

In science, courage isn’t about proving yourself right, it’s in your efforts to prove yourself wrong. . .to try and refute your own hypothesis.” —Brian Deer

Nutritional biochemistry

#157 – AMA #22: Losing fat and gaining fat: the lessons of fat flux

“If we didn’t understand fat flux, there would be no flux capacitor and Marty might still actually be in the past.” —Peter Attia

Mental models

#154 – Steve Levitt, Ph.D.: A rogue economist’s view on climate change, mental health, the ethics of experiments, and more

“What economists do now is they’re asked not just to estimate parameters really well, but to embed those parameters into models, which then have enough degrees of freedom that you can start to imagine: if I turn this dial to that dial, what would happen?” —Steve Levitt

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