In today’s episode, I’m tackling the bold, research-backed claim that AI produces lower carbon emissions for writing and drawing than humans. We’ll break down the study’s methodology, question its framing, and uncover the glaring omissions that make its conclusions feel more like a pro-AI pitch than neutral science. Plus, you’ll learn what Mark Twain has to do with all of this and why apples-to-oranges carbon calculations can skew the bigger picture.

Join me as I unpack the study’s findings, explore why bias in research matters, and share tips for critically evaluating the next viral “science-backed” claim you encounter.

Referenced:

• Scientific Reports article
• The Writer Magazine
• EPA’s Greenhouse Gas Equivalencies Calculator
• The Nature Conservancy’s footprint calculator

In today’s episode, I’m diving into the viral claim behind the triple nod, touted as a research backed hack for better communication. We’ll trace its evolution over the years, explore the research (or lack thereof) that backs it up, and unpack how ambiguous stats and missing citations can turn into misinformation. From precise percentages to vague references, we’ll see whether this popular nonverbal cue holds up to scrutiny.

Join me as I separate fact from fiction, explain why transparency in sharing “research” matters, and share tips for navigating the next viral stat you encounter.

Referenced:

• Mel Robbins Podcast
• YouTube video for the speaker’s organization
• The Carey Nieuwhof Leadership Podcast
• Time Magazine article
• LifeHacker
• Science of People

Perhaps you’ve seen the ads: a hot chocolate drink that promises to fix your sleep, boasting “93% of participants said it helped them get a better night’s rest.” But as a researcher who loves digging into the details, I had to ask: REALLY?

In today’s episode, I’m diving into the clinical study behind this claim from Beam’s Dream Powder. We’ll break down the who, what, when, where, and why of the research; explore the buzzwords like “randomized,” “double-blind,” and “placebo-controlled”; and unpack how the study design may not be as rigorous as it seems. From missing demographic details to potential placebo effects (hello, distinct flavors), we’ll see whether this magic hot chocolate truly lives up to its promise.

Join me as I separate fact from marketing spin, explain why transparency in research matters, and share tips for evaluating the next “scientifically proven” claim you see.

Clinical Trial Registry

Beam Blog