I am currently working through the entire Commissaire Maigret detective series written by Belgian author author Georges Simenon. I read a lot as I travel around and I have 74 (out of 75) Maigret novels to read. But don’t let that fool you, I am already becoming familiar with Maigret’s forensic way of thinking (-:. So for the next two blog posts we will be conducting a forensic examination of data to solve a puzzle that appears to be confusing people. This is the sort of puzzle that people (like me), who are interested in data and have a penchant for spy and detective novels like to investigate. For others though, while the nuances might appear to be rather obscure, the importance of this sort of puzzle cannot be understated. Community perceptions are influenced by what I am talking about today. Policy decisions are taken. Industrial relations strategies are designed, implemented, and, in some cases, fought out with significant consequences. The data I am analysing today and tomorrow can provide information about the state of the economy. It can inform us of the way in which the economic is changing in structure over time. It can provide guidance to fiscal and monetary authorities as to the likely impact of policy changes. So, as you will see, ambiguity is not going to be very helpful. The data I am dealing with in this blog post explores the relationships between nominal wages, prices and productivity in the Australian economy. The principles established, though, apply to all economies. What I will show you is that the choice of how we choose to measure key variables can fundamentally alter the way we think and act. This is Part 1 of a two-part series. Now, if only I had a pipe to light! (Maigret joke for insiders).