A meta-analysis that combines data from multiple small, underpowered studies yields a more accurate estimate of true population-level effects compared to estimates derived from individual underpowered studies.

Study: The Resistance Training Dose-Response: Meta-Regressions Exploring the Effects of Weekly Volume and Frequency on Muscle Hypertrophy and Strength Gain

By combining many small exercise studies, this research found clearer patterns than any single study could—like getting a better picture by putting together lots of blurry photos.

Study: Repairing Trust in Robots?: A Meta-analysis of HRI Trust Repair Studies with a No-Repair Condition

This study combines many small experiments about robot trust repair into one big analysis, showing that doing so gives a clearer answer than any single small study could. That supports the idea that combining small studies helps us understand the real effect better.

Study: A Comparative Evaluation of Psychometric Meta‐Analysis Methods in Management and Applied Psychology: Toward a Nuanced Understanding of Their Accuracy

The study shows that combining many small studies using special methods gives a better guess of the true effect than any single small study can.

Study: Robust inference for the unification of confidence intervals in meta-analysis

The study looks at a better way to combine results from many small studies, which supports the idea that doing so gives a clearer picture than any single small study alone.