To determine whether monthly aggregation is changing the rate at which prevalence estimates converage, for each sampling level we compute how close an estimates' correlation with GFT is to the correlation's maximum value.
they also find that twitter's 1% sample is similar to the Firehose, however, indicating that most of the bias they observed is introduced by the Streaming API.