Continuing with my previous post, here I summarize Chapter 4 of the book How to Lie with Statistics. This chapter is titled, The Gee-Whiz Graph.
If this chapter could be summarized in six words it would
be the following: It is not what it seems. Here we are illustrating how by
merely adjusting the scaling of a graph you can get it to say whatever it is
that you are trying to prove. Ten percent growth in one year is a “drop in a
bucket” when illustrated in a 50-year graph; but when compared versus, say a 2 year
graph, the 10-percent rate can be made to look fantastic. Adjust to quarters,
or months, or days, and you can get even more stunning results – just like the
doctor ordered. In other words, what would visually be a handsome yearly return
is lost when viewed in the context of a longer time frame; and vice versa. So,
whenever anyone shows you some graph (yours truly included) always check the
scaling. Do not be deceived.
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