Ideas to think with.
A model is useful when it changes the question you ask. These are six lenses I want to apply to work, gatherings, and the choices that shape an independent life.
Inversion
What would make this fail?
Before hosting a gathering: an unclear invitation, too much friction, and no reason to return.
The model and its limits +
Work backward from an unwanted outcome to find avoidable failure points.
Remember the limit
Avoiding failure does not tell you which worthwhile goal to pursue.
Opportunity cost
What does this choice displace?
Evaluate a new project against the attention it takes from existing commitments.
The model and its limits +
Compare a commitment with the best alternative use of the same resources.
Remember the limit
Some valuable returns · joy, trust, learning · are difficult to price.
First principles
What has to be true?
Define the customer’s problem before deciding what kind of consultancy or product to build.
The model and its limits +
Separate the underlying constraints from the assumptions inherited with a problem.
Remember the limit
Experience and existing practices may contain knowledge you have not yet understood.
Map and territory
What is the measure missing?
A contact list is a map; relevant expertise and useful participation are the territory.
The model and its limits +
A model or representation leaves things out. Check it against what is happening.
Remember the limit
You still need maps. The goal is to revise them, not abandon abstraction.
Circle of competence
Where does my knowledge end?
Prepare technical interviews carefully and make uncertainty explicit.
The model and its limits +
Distinguish what you understand well from what you are assuming or learning.
Remember the limit
Staying inside the circle forever would prevent learning.
Second-order thinking
And what happens after that?
Consider how a project affects future commitments, trust, and the work you want to do again.
The model and its limits +
Look beyond an immediate effect to the consequences it may set in motion.
Remember the limit
Long chains of prediction become fragile. Keep uncertainty visible.
inspired by FS