Blocking is a technique used in experimental design to reduce the impact of confounding variables by grouping similar experimental units together, allowing for more accurate comparisons of treatment effects. By controlling for variability within blocks, researchers can isolate the effect of the primary variable of interest, enhancing the reliability of the results.