Intent:

I made this in order to show how one is able to take two loosely related sets of data and force a comparison that is ultimately useless. Here, we see renewable electricity in use per person for each state in the US plotted against each state's population. This might seem somewhat useful at first glance, but then one remembers how the value of interest is calculated. Of course one will see abnormally high values of anything per person in places with fewer people. We are dividing a value by a smaller value rather than a bigger one. Other factors influence the value of interest here, thereby making the relationship shown above less meaningful if not meaningless. 

Data is skewed in this way all the time. It becomes a problem, however, when people fail to realize mistakes in data representation and make efforts to change policies. 

"How could you believe in global warming? My home town had its coldest winter ever! Why should we change pollution laws if the whole thing is a hoax?"

Failure to consider context and methods can make bogus graphs like the one above seem legitimate. 

"Wait! We should cut all states in half so we can use more renewable electricity!"