Community members have the option of duplicating an existing experiment that has gone through the design phase instead of creating a new one.
Duplicating experiments have additional advantages including being able to see what has worked well for others before starting an experiment.
Moreover, the results data for experiments that are duplicated are aggregated and presented as one experiment, making the results more statistically significant.
Lastly, data aggregated from all members in a common experiment can be pooled and monetized more effectively in comparison to individual experiments. Please see the reward mechanics section for more details.