Thursday, 18 February 2016

week 6 blogging question: stories told in numbers

This week's blogging question is related to our upcoming class on statistical literacy, but is also inspired by an NPR article on scorekeeping in baseball published a while ago. Alva Noë's fine essay points out that although few fans today maintain the old tradition of watching ball games with scoresheet and pencil in hand, the practice should not be mistaken for dispassionate number-crunching. Rather, close observation and recording of details -- combined with the exercise of judgment about, say, whether or not a play constitutes an error -- should be recognized as a different kind of engagement with the game. As Noë suggests, attending to the myriad details that make up a single play focuses the mind on the complexity of the event in ways that simply watching and listening to the announcers cannot. As Sherlock Holmes often points out to his companions Watson and Lestrade, we see but we don't observe. The act of recording the data generated by a baseball game, and especially of counting and analyzing them, helps us to observe patterns and details we might otherwise see but never comprehend. The same argument could be made for quantitative methods in social research: counting, measuring, and analyzing for statistical patterns can reveal dimensions of our lived experience that aren't available to the observer any other way.

Supposedly Einstein had a sign on the wall of his office at Princeton that read "Not everything that counts can be counted; not everything that can be counted counts." I believe this is true, but I also believe there are stories that can only numbers can tell. In Wednesday's class I'll tell the story of when I learned about gender differences in pay and promotion among the faculty at the university where I was doing my PhD. In that case, numbers told a story that contradicted the comfortable narrative about pay equity that I had just assumed to be true.

What are some of the significant things you've learned about the world that took the form of statistics? Are there any statistics that have similarly struck home with you, which you have perhaps found arresting or disquieting or illuminating? How were those stats derived from data? How were they communicated such that they'd have a human resonance beyond cold, abstract numbers? Another way to answer this question could be to share an example of a data visualization that you believe to be especially eloquent or insightful, such as the Minard flow map of Napoleon's march on Moscow, which I discussed in an earlier class.

And in case you were wondering, baseball season begins on April 3rd, just one month and ten days away...