Science vs. Spin

Across decades of public health data, researchers have noticed a stunning trend: as global education rates climb, age-adjusted dementia numbers are beginning to drop. This episode breaks down the complex longitudinal studies tracking how even a single additional year of schooling correlates with a significantly delayed onset of cognitive decline. We analyze the variables at play, investigating whe...

Recent epidemiological data shows a devastating rise in aggressive, early-onset cancers among adults who experienced metabolic dysfunction before age 30. This episode examines the precise biomolecular pathways—including hyperinsulinemia, altered cytokine signaling, and chronic systemic inflammation—that accelerate tumor development in adipose tissue environments. Join clinical researchers as they...

This podcast evaluates the scientific evidence supporting and questioning the role of sunscreen in melanoma prevention, drawing on randomized controlled trials, observational studies, and meta-analyses while addressing key limitations. It examines the interplay between sunscreen use and vitamin D synthesis, presenting arguments for potential interference alongside real-world data indicating minima...

This podcast episode explores the use of surrogate endpoints versus patient-important clinical outcomes in medical and psychological research studies, highlighting their role in accelerating trials while cautioning against over-reliance. It presents advantages such as faster, less expensive studies alongside critical limitations, including frequent failures to predict real clinical benefit as seen...

We put the "obesity shrinks your brain" headlines under the microscope to separate causal reality from confounding variables. This episode navigates the neurodegeneration debate, questioning if the data holds up or if we're seeing another case of correlation being sold as causation. Join us as we strip away the spin to see what the evidence actually says about the relationship between weight and w...

In 2025, a viral study claiming that 95% of corporate AI pilots were failing sent the Nasdaq into a tailspin—but there was one problem: the math was 100% wrong. We join Rob Wiblin to dissect how a flawed report managed to hijack the global AI narrative and what the evidence actually says about the success of generative AI in the enterprise. Learn how to spot "data torture" and why the real story o...

A major 2026 review in the journal Carcinogenesis claims nicotine vapes are “likely” to cause lung and oral cancers based on DNA damage, inflammation, and mouse tumors. Public-health experts on the other side call the paper misleading, arguing vaping remains far safer than smoking and a proven tool for quitting. We examine both arguments, expose the limitations of the studies on each side, and end...

This episode examines the heated debate between the Cochrane Review and The Lancet on anti-amyloid drugs for Alzheimer’s. We break down the modest benefits, real risks, and methodological differences between older and newer treatments. A balanced, evidence-based analysis for patients, families, and clinicians seeking clarity on this controversial topic.

In this episode, we examine the “Rat Study Problem” — the persistent challenge in biomedical research where treatments that succeed dramatically in mice frequently fail when tested in humans. The discussion explores biological differences in metabolism, immune response, disease progression, and environmental factors that limit the predictive value of rodent models. It highlights the high cost of t...

Most people consume scientific research through headlines—but those headlines often distort study design, exaggerate results, and hide critical limitations like small sample sizes, animal models, and surrogate markers. In this episode, we break down the most common ways research is misrepresented in the media, including the misuse of relative risk, correlation vs. causation errors, and misleading...