3 things need to be considered to use mental models/map better.
a) Reality is the ultimate update: maps/models can become outdated. When reality changes, models should change too.
c) Maps can influence territories: models have limitation. Don't try to overfit it.
Maps, or models, are necessary but necessarily flawed.
When we operate within our circle of competence, we know what we don't know. We understand what is knowable and what is unknowable and can differentiate between the two.
But this circle is NOT static. To build and maintain a circle of competence...
While outside of your circle of competence, acknowledge you are stranger there and try to learn at least the basics. Beware though it's the basics that gives unwarranted confidence.
The idea is If you can't prove something wrong, you can't really prove it right either. Any good theory must have an element of risk to it i.e. it must be able to be proven wrong in certain conditions.
To cut through the dogma in a particular space, use Socratic questioning and the 5-Why's.
5-Why's is children-like behavior to understand something. If you hear things like "it just is" or "because I said so", you have landed on dogma/myth.
It is useful in:
-Imagining physical impossibilities: Exercises such as The Trolley experiment help us prepare for similarly difficult situations.
-Re-imagining history: Counter-factual narratives can convince us nothing is inevitable in history...
To be really successful, hard work is perhaps necessary, but may itself not be sufficient as there are other factors that can come into play. The sufficient set is far larger than the necessary set.
It's easy to anticipate the immediate result of an action. But the second and third order effects can prove to be far more important to consider.
During colonial period, the British wanted to reduce the cobra epidemic in India and declared rewards...
In short, it's the effect of effects. Beware of analysis paralysis though.
3 important aspects of probability:
a) Bayesian thinking: Always incorporate all the information you currently have to build your probability estimates.
b) Fat-tailed curves: If the underlying distribution is fat tailed and not normal...
c) Asymmetries: It's...
Most people know correlation is not causation, but almost everyone mistakes or misinterprets correlation as causation. Learn to control this urge.
Avoiding stupidity is easier than pursuing brilliance. 2 ways to apply inversion:
a) Assume what you're trying to prove is either true or false, then show what else would have to be true.
b) Think deeply about what you want to avoid and see what options are left.
If you really just want to avoid underperforming the market, investing in index funds perhaps makes more sense to you.
The idea is simpler explanations are more likely to be true than complicated ones. While this is mostly true, an important caveat is some things are simply not that simple. Pyramid/Ponzi schemes, for example.
The idea is try not to attribute to malice which is more easily explained by stupidity. The explanation most likely to be right is the one that contains the least amount of intent.
Kahneman and Tversky posed the following question in 1982:
"Linda is...
Which is more probable?
a) Linda is a bank teller...
Majority choose B over A. But single condition is more likely to be true than multiple conditions. To say it differently, every feminist bank teller is a bank teller, but not every bank teller is a feminist.
It's a short book, but not certainly not short on content!