CO2 Emissions: Accounting for Accountability
by Taylor Lange
In my very first graduate statistics course, the professor often cautioned us about data collection: “Garbage in, Garbage out.” What she said, in no uncertain terms, was that mistakes in the measurement or methodology would invalidate our statistical analyses. I’ve consistently reminded myself of this mantra. My colleagues, students, and I double check the sources and methodology behind any data we’re testing. If we aren’t entirely confident in the integrity of the data,