Professional scientists are expected to know how to analyze data, but statistical errors are alarmingly common in published research, according to David Vaux, a cell biologist.
There's a whole pile of mathematical cleverness that allows us to store data, and just as importantly to transmit it, in a way that's resilient to errors.
And they're the ones that appear consistently enough that they are probably not just data aggregation errors." So, we're like, " Oh, well, she probably was there for a while.