- We make assumptions based on false correlations (and we should guard against that tendency).
- Data and maps are verbs, not nouns, and they never tell the complete truth. Something is always omitted in a data set or on a map.
- Watch out for false boundaries. For example, why is there a boundary between undergraduate education and the working world? What if there were no boundary? How would universities change?
- If you bow down to the frames of existing aggregates (such as an org chart or a database), you may miss the signal that a single person or piece of data is screaming out to you. We miss so much insight this way.
During Q&A, I observed that a false boundary in health care is that which supposedly defines “home” vs. “clinical” care, when in fact it is all part of one system. I was also thinking to myself that patients and caregivers are screaming out to be heard but aren’t on the official health care org chart — or are way at the bottom. Continue reading