In part 2 of How to Read Scientific Studies Series, we focus on interpreting the data and conclusions.We break down how results are reported, what statistical significance actually means, and how to spot confounding factors. We also highlight the common tricks and manipulations that influencers use to misrepresent research findings and media headlines.

Separate science from the hype with our guide for vetting scientific studies. Master the critical thinking tools to make true evidence‑based decisions.

Is kombucha truly good for you? We examine the evidence from human clinical trials to understand its effects on the body.

Presentation Available: https://www.jsdatascience.com/podcast_kombucha/

We break down the recently controversial paper “Plaque Begets Plaque, ApoB Does Not” with a critical eye on its statistical flaws.

The most important statistical concepts that everyone should understand. Whether you're into data or just curious about how the world works. From mean vs. median to correlation vs. causation, we discuss it all in simple and applicable terms.

The books that shaped our thinking, sparked creativity, and left a lasting impact.

Ranking various factors that contribute to a long and healthy life span.

Calvin asks John how he evaluates new supplements as a data scientist. John gives a general overview, then comes up with two examples to compare: Astaxanthin and Fatty15.