seems like a lot of back-and-forth about nomenclature. i would imagine we can we all agree that an increase in sensitivity allows for (at least) a potential increase in accuracy. while sensitivity is merely a measure of how much raw data can be gathered based on the same conditions, accuracy is a measure of how correctly computations based on that data are. assuming LEX's algorithms are true, a 500% increase in raw data would likely have a profound impact on accuracy.
News 
Market Data 
Discover 
