In this episode, we discuss mental maps/models. We talk about how models can be used to reach goals, specifically how models have 4 key attributes:  

1. They can explain or help understand something

2. They can make predictions

3. They can optimize or remove errors in a process

4. They can help generate new more accurate models. 

Some of the questions we tackle are: 

1. What is a map?

2. If Maps/Models are flawed, then why use them?

3. What is the relationship between maps/models and the territory they are mapping/modeling?

4. What are the key features of models?

5. What is the mind projection fallacy?

6. What are some major pitfalls when using maps/models?

7. How do you choose good models? How do you evaluate any given model?

8. How can we effectively apply and use maps/models?

9. Why are maps important?

10. Is it possible to create a perfect map? What about a practically perfect one?  

Links to some of the topics we discuss:

1. The map is not the territory: https://www.lesswrong.com/tag/the-map-is-not-the-territory

2. The mind projection fallacy: https://www.lesswrong.com/tag/mind-projection-fallacy