Statistical Significance vs. Clinical Meaningfulness

In the context of evaluating competent-and-reliable-scientific-evidence (CRSE), the ftc draws a strict distinction between Statistical Significance and Clinical Meaningfulness.

To substantiate a health or wellness claim, research findings must satisfy both criteria:

• Statistical Significance: This is a mathematical validation, typically measured by a p-value (e.g., p<0.05). It indicates that the results observed in the study are unlikely to have occurred by random chance.
• Clinical Meaningfulness: This is a practical validation. A study may achieve statistical significance simply by utilizing a massive sample size, allowing researchers to detect minuscule physiological changes. However, if the actual health benefit is trivial or imperceptible to the user, it is not clinically meaningful.

The FTC requires that the measured effects translate into a tangible, real-world health benefit for the consumer. This standard prevents brands from exploiting mathematically valid but practically useless data to market functional beverages and dietary supplements.