Frequently asked questions about thinking, epistemology, and cognitive tools. 1431 answers
Personal growth is largely the process of replacing less accurate schemas with more accurate ones.
You can build models of how your models work — this is the beginning of recursive self-improvement.
You can build models of how your models work — this is the beginning of recursive self-improvement.
You can build models of how your models work — this is the beginning of recursive self-improvement.
You can build models of how your models work — this is the beginning of recursive self-improvement.
Pick one schema you use regularly — how you evaluate people, how you decide what to read, how you prioritize tasks. Write down the schema itself (the rules, heuristics, or criteria it contains). Then answer three meta-questions about it: (1) Where did this schema come from? (2) When was it last.
Treating meta-schemas as purely intellectual — understanding the concept without actually examining your own schemas. You'll know you've fallen into this trap when you can explain meta-cognition to someone else but cannot name three schemas you actively use, where they came from, or when they last.
You can build models of how your models work — this is the beginning of recursive self-improvement.
How do you typically form new mental models? Understanding your process lets you improve it.
How do you typically form new mental models? Understanding your process lets you improve it.
How do you typically form new mental models? Understanding your process lets you improve it.
Recall the last three mental models you formed — about a new technology, a person, a situation, anything. For each one, reconstruct how it formed: (1) What triggered the need for a new model? (2) What raw material did you draw on — experience, reading, conversation, analogy? (3) Did the model.
Operating with an unexamined schema creation process means every mental model you build inherits the same blind spots. If you always form schemas from personal experience alone, you will systematically miss patterns visible only through data. If you always adopt frameworks from authorities, you.
How do you typically form new mental models? Understanding your process lets you improve it.
Define what makes a schema good — accuracy predictive power simplicity scope.
Define what makes a schema good — accuracy predictive power simplicity scope.
Define what makes a schema good — accuracy predictive power simplicity scope.
Define what makes a schema good — accuracy predictive power simplicity scope.
Pick one schema you actively rely on — a belief about how your industry works, a model of what motivates your team, a theory about your own productivity patterns. Score it on each of the six criteria from this lesson (accuracy, predictive power, scope, simplicity, fruitfulness, falsifiability).
Evaluating schemas only by how they feel. A schema that reduces anxiety ('Everything happens for a reason') or flatters your self-image ('I succeed because I work harder than everyone') can score high on emotional comfort and zero on predictive power. Comfort is not a quality criterion. If your.
Define what makes a schema good — accuracy predictive power simplicity scope.
List your most important schemas so you can maintain and improve them systematically.
Some schemas depend on others — map these dependencies to understand cascading effects.
Some schemas depend on others — map these dependencies to understand cascading effects.