Complicated
- An engine is a good example of complicated. If something is broken, we can use process and past knowledge to diagnose a fix.
- A complicated system has a cause & effect relationship between its components.
- This implies predictability. It’s a knowable thing
Complex
- Whereas venturing into an unknown area is complex as you can’t just rely on standards, procedures, and past knowledge.
- Examples include weather, traffic, immune system
- They are dispositional systems, they operate in a vector space. Although we have
an idea that
x
will happen because things are trending in that way, we can’t fully predict what’ll happen.
The only way to understand a complex system is to interact with it.
Key take away:
Lots of businesses try to solve complex problems with mental models from solving complicated problems.
Standards vs Defaults
- Standard: “This is the way we solve the problem, and everyone agrees on it”
- Default: “If you don’t know any better, try this”
- Shuhari framework?
on Metrics
- Metrics are a proxy for reality, not the whole story. easy for them to miss nuance.
Behind the scenes
Listened to this on 19 April 2023 - or at least, that’s when I made the handwritten notes. I just found that handwritten note while doing a little bit of tidying up and decided it was worth persisting on the internet