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1. The Concept of Mental Models
2. First Principles Thinking
3. The Map Is Not the Territory
4. Inversion
5. Occamβs Razor
6. Hanlonβs Razor
7. Probabilistic Thinking
8. Circle of Competence
9. The Pareto Principle
10. The Availability Heuristic
11. Confirmation Bias
12. Falsifiability
13. Second-Order Thinking
14. Thinking Gray
15. Margin of Safety
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Mental models are frameworks that help us understand and interpret the world. They simplify complexity and help us make better decisions by providing a structured way of thinking.
βTo understand reality, we need to build a latticework of mental models.β
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This model involves breaking down complex problems into basic elements. By understanding the fundamentals, we can develop innovative solutions and avoid assumptions.
βFirst principles thinking allows us to see the root cause and rebuild from scratch.β
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This model highlights the difference between models (maps) and reality (territory). It reminds us that all models are simplifications and can never fully represent reality.
βOur perceptions and interpretations are not the reality itself, but a map we use to navigate.β
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Inversion involves looking at a problem from the opposite perspective. By considering what we want to avoid, we can identify potential pitfalls and develop more robust solutions.
βInvert, always invert: this principle helps us find blind spots and avoid mistakes.β
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Occamβs Razor suggests that the simplest explanation is often the best. When faced with multiple hypotheses, choose the one that requires the fewest assumptions.
βWhen you have two competing theories, the simpler one is more likely to be correct.β
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This model advises not to attribute to malice what can be explained by ignorance or incompetence. It encourages us to avoid assuming ill intent without sufficient evidence.
βNever assume bad intentions when a mistake could explain the situation.β
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Probabilistic thinking involves assessing the likelihood of different outcomes. It helps us make better decisions by considering probabilities rather than certainties.
βThink in terms of probabilities, not absolutes, to improve decision-making.β
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Understanding the limits of our knowledge is crucial. By staying within our circle of competence, we can make better decisions and avoid unnecessary risks.
βKnowing what you donβt know is more important than being brilliant.β
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Also known as the 80/20 rule, this principle states that 80% of outcomes come from 20% of causes. It helps us focus on the most impactful activities.
βIdentify the vital few and ignore the trivial many.β
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This cognitive bias involves relying on immediate examples that come to mind. It can lead to overestimating the likelihood of events based on recent or vivid experiences.
βOur judgments are influenced by what is most easily recalled, not what is most probable.β
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Confirmation bias is the tendency to search for and interpret information that confirms our preconceptions. Being aware of this bias helps us seek diverse perspectives and avoid tunnel vision.
βWe see what we want to see and hear what we want to hear.β
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A hypothesis must be testable and able to be proven false to be scientific. This model helps us distinguish between valid and invalid theories.
βA statement is meaningful only if it can be proven false.β
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Second-order thinking involves considering the long-term consequences of our actions. It helps us avoid short-sighted decisions and anticipate future impacts.
βFirst-order thinking is simple and superficial, while second-order thinking is deep and complex.β
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Thinking gray means avoiding binary thinking and considering multiple viewpoints. It encourages open-mindedness and the acceptance of ambiguity.
βThe world is not black and white; embrace the shades of gray.β
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This concept, borrowed from engineering and finance, involves building in a buffer to account for uncertainties. It helps us make conservative decisions and avoid catastrophic failures.
βAlways leave room for error; the margin of safety is your buffer against the unknown.β
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1. Mental Models: Simplify complexity for better decisions.
2. First Principles: Break problems into basics for innovation.
3. Map vs. Territory: Models are simplifications of reality.
4. Inversion: Look at problems from the opposite perspective.
5. Occamβs Razor: Choose the simplest explanation.
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6. Hanlonβs Razor: Avoid attributing malice without evidence.
7. Probabilistic Thinking: Assess likelihoods, not certainties.
8. Circle of Competence: Know the limits of your knowledge.
9. Pareto Principle: Focus on the most impactful activities.
10. Availability Heuristic: Beware of recent or vivid experiences.
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11. Confirmation Bias: Seek diverse perspectives.
12. Falsifiability: Ensure hypotheses can be proven false.
13. Second-Order Thinking: Consider long-term consequences.
14. Thinking Gray: Embrace ambiguity and multiple viewpoints.
15. Margin of Safety: Build buffers against uncertainties.
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