Oh man. My PhD work is focused on helping people communicate clearly about the measurements they are making and how to interpret them and where the pitfalls are in a research setting. Every time I read about something like this I wonder if I can use what I am working on to help people automatically detect when the assumptions of their measurement model could be violated. For example, if you can explicitly model the fact that the measurement is not the actual value and that they can become decoupled (and can thus brainstorm and model potential reasons), then you can start to help people realize that the map (measurements) are not the territory (reality), in ways that aren't just cute phrases without guidance for practical implementation.