Statistics can make or break the credibility of a clinical trial, but too often they’re misunderstood. In this episode, we dive into the statistical backbone of clinical research — P-values, null hypothesis, sample size, effect size, and safety data — and uncover the common misconceptions that can distort how results are interpreted. From the chronic confusion around what a P-value really means, to why sample size isn’t everything, to the difference between statistical significance and clinical relevance, we break it down in plain language for anyone working in dietary supplement and nutraceutical research. Whether you’re a sponsor, regulator, or just passionate about evidence-based wellness, this episode will give you a clearer perspective on how to read between the numbers.