Trimmed duplicates improve standard deviation estimates, reducing errors and biases.
Researchers found a better way to estimate standard deviation from duplicate measurements by using trimmed data and a specific statistical method. This new approach results in more accurate estimates with lower errors and biases compared to traditional methods.