MindMap Gallery Think Well Reading Notes
This book is a work that subverts thinking and cognition. This book combines Charlie Munger's multiple thinking models to gain progress from rapid learning and obtain continuous and effective feedback in daily life. This book emphasizes the importance of underlying thinking logic and explains from aspects of life, work, thinking and cognition why people encounter bottlenecks and why their growth slows down after working for a period of time. These problem-solving ideas of constantly asking questions and answers make us smarter, usher in lifelong learning more easily, and constantly surpass ourselves. Only by thinking differently can we do differently and have good results!
Edited at 2023-10-30 17:55:10El cáncer de pulmón es un tumor maligno que se origina en la mucosa bronquial o las glándulas de los pulmones. Es uno de los tumores malignos con mayor morbilidad y mortalidad y mayor amenaza para la salud y la vida humana.
La diabetes es una enfermedad crónica con hiperglucemia como signo principal. Es causada principalmente por una disminución en la secreción de insulina causada por una disfunción de las células de los islotes pancreáticos, o porque el cuerpo es insensible a la acción de la insulina (es decir, resistencia a la insulina), o ambas cosas. la glucosa en la sangre es ineficaz para ser utilizada y almacenada.
El sistema digestivo es uno de los nueve sistemas principales del cuerpo humano y es el principal responsable de la ingesta, digestión, absorción y excreción de los alimentos. Consta de dos partes principales: el tracto digestivo y las glándulas digestivas.
El cáncer de pulmón es un tumor maligno que se origina en la mucosa bronquial o las glándulas de los pulmones. Es uno de los tumores malignos con mayor morbilidad y mortalidad y mayor amenaza para la salud y la vida humana.
La diabetes es una enfermedad crónica con hiperglucemia como signo principal. Es causada principalmente por una disminución en la secreción de insulina causada por una disfunción de las células de los islotes pancreáticos, o porque el cuerpo es insensible a la acción de la insulina (es decir, resistencia a la insulina), o ambas cosas. la glucosa en la sangre es ineficaz para ser utilizada y almacenada.
El sistema digestivo es uno de los nueve sistemas principales del cuerpo humano y es el principal responsable de la ingesta, digestión, absorción y excreción de los alimentos. Consta de dos partes principales: el tracto digestivo y las glándulas digestivas.
"Think Well" Reading Notes
4. Comprehensive use of multiple thinking models to solve complex problems
Comprehensive application of multiple thinking models: dimensionality reduction attack
There are levels of cognition
To understand dimensionality reduction attacks, we must first establish a concept, that is, cognition is hierarchical.
Some cognitive levels are higher, and some are lower.
This different layering of cognition determines the quality of subsequent judgments.
If we can increase our cognitive dimension and see problems from a higher level than others, it is what we usually call "high dimensions and low dimensions"
The difference between different levels of cognition
High-dimensional cognition tends to be higher, and the higher the cognition, the closer it is to the subject theory of mathematics or physics.
High-dimensional cognition is often close to the starting point of the causal chain, while low-dimensional cognition is often close to the result of the phenomenon.
The real answer is often not found in visible phenomena.
If we can start from the phenomenon and continue to ask about the premise of the existence of the problem, starting from more basic and basic factors, we can actually see the "structural force" that really works behind it.
The world-famous linguist Stephen Pinker once said: "Good research is often concise, has higher generality, is in the early stage of the causal chain, and is closer to the irreducibility of physical and mathematical laws."
Enlightenment: Dimensionality reduction attack, high dimensionality defeats low dimensionality
This leads to the key to dimensionality reduction attacks: we need to layer the logic of thinking about problems and use lower-level but higher-dimensional dimensional analysis
Many times, we only focus on clear logic and rigorous reasoning when thinking about problems, but rarely think about the level at which we analyze it.
Robert Dilts' Logical Hierarchy Model
Environmental layer - lowest
behavior/action layer
Ability level
values
Role-High
These six levels rise step by step - problems that are difficult to solve at low levels are easier to deal with at high levels
“Business-Technology-Science-Humanities” Model
The top level is humanistic thinking
Moving on to scientific thinking
technical thinking
business thinking
If a person stays in business thinking, he will not be able to see the evolution of technology.
If a person only thinks technically, he will eventually feel confused about the development direction of technology.
If you only have scientific thinking, you will not be able to explore the meaning of science itself. Humanistic thinking is needed
And only by adding humanistic thinking can we form a correct and complete cognitive architecture
Changing scales in the comprehensive application of multiple thinking models
Effective strategies and spatiotemporal scales
How we avoid falling into the “right trap”
That is, implementing strategies that appear to be effective at the moment may lead to long-term, harmful consequences.
Adhering to a strategy that appears to be successful locally may ultimately lead to overall failure.
If we don’t understand this, we have no way of understanding what effective strategies are in life, let alone accumulating and applying mental models.
An important principle in applying effective strategies: pay attention to the spatiotemporal scale at which effective strategies are applicable
The so-called "time and space scale where effective strategies are applicable" means that if we think a strategy is effective, we must ask ourselves, is it effective in the short term or in the long term? Is it effective locally or globally?
Because strategies that are effective in the micro environment may be completely ineffective or even harmful in the macro system.
Putting short-term effective strategies into a long-term perspective may also bring negative results.
If you want to solve a specific problem, you can't just talk about the macro principles, but you have to go into the micro details to solve the problem.
If you want to deal with strategic and long-term choices, you cannot judge the effectiveness of the immediate strategy, but you must judge the effectiveness from a longer-term and more macro perspective.
We must choose different strategies based on the scope and period of the problem we want to solve.
Characteristic spatiotemporal scale
Change the scale of thinking
"Characteristic spatiotemporal scale" means that a complex system will show completely different rules and characteristics at different spatiotemporal scales.
Therefore, the effectiveness of a decision is related to the time scale and spatial scope.
It’s because most of the complex problems in our world are non-linear, macro phenomena are not a simple superposition of micro behaviors, and long-term results are not a simple amplification of short-term results.
Notice
To judge long-term, global issues such as trends and system changes, we must separate ourselves from daily life experience and look at the long-term macro system.
When looking for the cause of a specific problem, we often have to avoid analyzing and thinking only at the level where the problem occurs, and we must further sink into the microscopic subsystems below where the problem occurs to find the cause.
Economics master Schumpeter: Study the question "how can an economy grow?"
The real cause of economic growth is not those macro factors, but the structural reorganization of micro products, technologies, markets, raw materials, organizations and other elements that make up the economic macro system.
Introducing an unprecedented "new combination" of production factors and production conditions into the production system, it is the new combination of these micro factors that achieves innovation and promotes economic growth.
Tips for training the habit of analyzing problems at multiple scales
To explain all problems, we look for causes at three different scales: long-term causes at the macro-scale, medium-term causes at the meso-scale, and immediate causes at the micro-scale.
Case
In the field of history, French historian Braudel once proposed three time scales for recording history.
The longest time scale focuses on a region’s geography and climate environment
Medium time scale, focusing on social and cultural factors
The short time scale focuses on specific historical events.
Observing historical phenomena with this way of thinking is to expand the scale of thinking to study history.
in the field of biology
Darwin's discovery of evolution is obviously a conclusion drawn from thinking on a grand scale of time and space.
in the military field
At the beginning of "The Art of War," Sun Tzu divides military analysis into five levels: "Tao, Heaven, Earth, Generals, and Laws." Our more popular way of saying it is "timing, favorable geography, and harmony."
In Business Strategy Methodology
Zeng Ming, Alibaba’s former chief of staff, also proposed the “point, line, and surface” approach to thinking about business strategy.
Sometimes, even if we work hard on the "point", the impact will not be as great as if we work hard on the "face".
Advantage
Sometimes, even if we work hard on the "point", the impact will not be as great as if we work hard on the "face".
When we consciously think about problems from such different scale perspectives, we will find that many disciplines that seem far apart sometimes seem completely different from a micro perspective, but when we observe them on a grand scale, we will find that the underlying With amazing consistency
In this way, we can connect seemingly unrelated thinking models at the macro scale, thereby realizing interdisciplinary attacks on multiple thinking models at different scales and finding new solutions.
5.3-Focus on the comprehensive application of multiple thinking models
Most daily efforts are not worth a few critical efforts
Lei Jun concluded: "Being smart and diligent does not guarantee your success. What really matters is to go with the flow."
In Lei Jun's view, the most critical and effective strategy in his life is how to judge and seize the general trend.
Key points in dynamic changes (key strategies)
Peter Senge, author of "The Fifth Discipline" and management guru, puts it another way: "What really matters is understanding dynamic complexity, not detailed complexity."
For details, please refer to the reading notes of "The Fifth Discipline"
Because the complex systems of life, although they are always changing, only those moments that trigger serious non-linear consequences are critical moments.
The reality is that life is non-linear, and people’s growth trajectories are often cliff-like or promotion-like.
Our strategy for applying multiple thinking models should change from "How can I do better" to "What problems can make me huge changes in the future?"
Kelly's formula (probability theory)
Originally, this problem was that Kelly wanted to solve a horse racing betting problem.
If a gambler has some inside information to bet on horse racing, but this inside information may not be completely correct, what should the gambler do at this time?
By studying information theory, he found that gamblers can determine the optimal betting ratio when knowing the winning rate and odds, thereby maximizing their long-term compound returns.
Thorpe - Hedge Fund
Here, he created a new quantitative investment strategy based on the Kelly formula and established the first quantitative hedge fund, opening a new chapter in human investment using quantitative strategies. For this reason, Mr. Thorp is known as the "Father of Quantitative Investment" "
Formula principle
The proportion of money you should invest = (Possible money earned - Possible money lost) / (Possible profit multiple × Possible loss multiple)
If you haven’t understood it yet, let’s use Buffett’s words to explain his investment method: “Multiply the probability of loss by the amount of possible loss, then multiply the probability of profit by the amount of possible profit, and finally use the latter minus Go to the former
The core of Kelly's formula is four variables: probability of success, income after success, probability of failure, and loss caused by failure.
As long as these four elements are judged accurately, we can calculate how much resources we should invest by substituting these values into the formula.
Core Key: “Analyze non-linear asymmetric opportunities with costs and benefits.”
If you carefully analyze the Kelly formula, you will find that although it is difficult for us to accurately predict the probability of success and failure of things, we can often make more accurate judgments about the possible gains and losses of things.
Kelly's formula can actually be greatly simplified. We don't need such accurate probability judgments to make important choices.
The opportunity for huge non-linear results, this is the key moment we are looking for
Nonlinear asymmetry of costs and benefits
We will find that there are some opportunities in life that require very limited investment, but the benefits may increase significantly in a non-linear manner. Such opportunities are naturally worth our investment.
Key strategic core for key issues: focus on things that may trigger non-linear consequences (two approaches)
Key strategies for key issues, the core: focus on things that may cause non-linear consequences
There are two ways to find this nonlinear consequence:
One is top-down thinking, the other is bottom-up (practical) thinking
top down
The so-called top-down approach is to first analyze macro trends, then sort out possible directions, and finally look for non-linear opportunities for structural changes from these directions.
The advantage is that we may see some opportunities outside our life circle, but the disadvantage is that we need to spend dedicated time thinking, sorting out, investigating and researching, which is relatively energy-consuming.
Bottom up (practical)
From the bottom up, we actually start from each specific matter and think about the future development of this matter and whether it is worthy of huge changes.
Although it seems a bit passive, because we are more familiar with the things we come into contact with every day and various background situations, we can make judgments without doing too much basic work, so it may be more practical for most people.
Five Principles for Finding Crucial Moments
To put it simply, it is the five dimensions to be evaluated to determine whether something meets the requirements at a critical moment.
Strategy: Trend Judgment (Thinking on a Changing Scale)
Let’s see if there is any possibility of longer-term development of this matter in the future.
Psychology: Drive Principles
If you need to invest your energy regularly, ask yourself if you love and approve of it in your heart
It’s hard to stick to something you don’t like for a long time
Systematics: looking for key solutions to the system (improving cognition)
In the long run, the driving force behind competitive advantage comes from cognition
Therefore, you should think about whether the things you invest in can enhance your deeper understanding of some issues.
Economics: Marginal Cost/Compound Interest Effect
Can marginal costs continue to decrease, or can returns have the effect of compound interest growth?
In other words, is it possible that the more we do something, the lower the cost?
Or costs remain the same but benefits continue to grow
Essentially, it is to analyze and judge whether there is a possibility of non-linear growth in the income of this matter.
Positive black swans (non-linear consequences)
Black swan is a concept proposed by American financial investor Taleb. It refers to something that has a very small probability of happening in our lives, but once it happens, it will have a great impact on our lives.
A positive black swan is when something happens that has a positive impact on us.
A quote from Charlie Munger: “The reason why I am where I am today is by not chasing mediocre opportunities.”
3. How to establish a knowledge system of multiple thinking models
Why you need interdisciplinary problem-solving skills
diversity dividend
Every mental model is a solution
One angle to solve the problem, but the problems in reality are often very complex, and there are great limitations in understanding the problem from only one angle.
When most people use a certain model to think about problems, you can easily gain cognitive advantages by using different models to think about key issues. "
Multiple thinking models ≠ multiple thinking models
Diversity emphasizes mastering knowledge of different attributes and disciplines
Example
If we are looking for effective strategies on "how to increase product sales", we can find many thinking models, such as 4P theory, 4C theory and the growth hacking model that has emerged in recent years.
But these thinking models all belong to the field of marketing and are strategies based on the same way of thinking.
If we want to solve this problem across disciplines, we cannot look for the best strategy in this profession, but should zoom in on all human industries to see what different strategies they have discovered when solving this problem.
we can still think
What other industries have products that are more difficult to sell than ours, and how do they do it?
Are there any experts who specialize in selling products? Can we learn from their experience?
The so-called conflicts between thinking models are often caused by a lack of deep understanding of the applicable conditions of the thinking model and its essence, which confuses thinking methods at different levels and angles.
What areas of knowledge should everyone learn?
Looking for answers across disciplines
Charlie Munger: When you are a hammer, every problem looks like a nail
When you really practice using thinking models from different fields and disciplines to solve the same problem, you will also find an additional benefit.
Give you a deeper understanding of the applicable conditions of different thinking models
The two ways of thinking, "top-level design" and "lean entrepreneurship", are adapted to different problems and stages in corporate strategy.
“Top-level design” solves the problem of strategic direction
“Lean Startup” solves the problem of specific strategies
“Top-level design” is about predicting changes in the macro environment
“Lean Startup” is about adapting to the micro-ecological environment
If we can proactively think about the reasons behind these conflicts, it will actually enhance our understanding and application of seemingly different or even conflicting thinking models.
Establish global learning capabilities
-Learning multiple thinking models across fields is not to master more knowledge, but to form an overall understanding of the problem, so as to understand the problem more essentially.
Global understanding = diverse ways of thinking × rich levels of knowledge
If we want to truly understand a certain type of complex problem deeply, from the perspective of building a global understanding, the type and number of multiple thinking models we need to master must have both the breadth and depth of thinking required to solve such problems.
holistic way of thinking
A more comprehensive way of thinking often comes from dabbling in more subjects, which is what Charlie Munger said about mastering "the important principles of important subjects."
Effective multiple thinking model system = (breadth of thinking) × (depth of thinking) required to solve complex problems
Breadth of thinking and depth of thought are complementary to some extent
But when solving complex problems, the breadth of thinking needs to meet a certain "minimum"
4 types of subjects we should all master
Basic subjects for understanding the physical world, such as physics, mathematics, chemistry, etc.
The core idea of physics is to study the various laws of matter itself, the core idea of mathematics is to accurately describe the world, and the core idea of chemistry is to study the laws of changes after interactions between substances.
Example
When Huawei's Ren Zhengfei managed the company, he used the law of entropy increase and dissipative structure of physics. This is a typical case.
The more we face problems that we have not encountered in the past and problems facing the future, the more we need to find answers and clues from the underlying basic principles.
Disciplines that understand the laws of group systems, such as biology, economics, sociology, etc.
These disciplines explain the laws that appear in life groups based on the material world.
Since each of us lives in a "group", the "evolutionary laws", "economic laws" and "social laws" shown in the group are of great help to us in thinking about life issues.
In fact, most of the problems in our lives will use the principles of economics, sociology and even biology.
Disciplines that understand the laws of complex systems, such as complexity science, artificial intelligence, philosophy, etc.
These disciplines study the laws that complex systems display when the "group" is extremely complex.
This field is also at the forefront of human research
Considering that the society we live in in the future will be an increasingly connected and complex network system, it is extremely important to master the way of thinking about complex systems.
We often say that choice is more important than effort, and strategy is more important than tactics. Being able to find the basis for strategic choices in complex phenomena can often be inspired by the study of complex systems.
Humanities disciplines that understand the spiritual world, such as psychology, aesthetics, religion, history, etc.
We not only live in the material world, but also in the spiritual world
Therefore, mastering the way of thinking to understand the spiritual world constitutes another important cornerstone of our multiple thinking model.
Almost all issues related to experience and spirituality in our lives can be traced back to these disciplines
The value of different disciplines
If we think about the value of different disciplines from the perspective of thinking methods, we will find that there is actually a corresponding set of thinking methods behind each discipline.
Example
Mathematics develops a way of thinking using "symbols and logical reasoning"
Physics develops a way of thinking that relies on "first principles"
Evolutionary biology develops the way of thinking of "natural selection"
Complexity science develops a way of thinking using “systems thinking”
Modern aesthetics has developed a way of thinking that constantly "negates convention"
How to do
What we have to do is to find out the important ways of thinking behind the subject and incorporate it into our own knowledge system
And the wider the span of disciplines, the better, because disciplines that are farther apart often have more complementary ways of thinking. If we can integrate these different ways of thinking, we can generate new solutions.
How to build an efficient multi-thinking model knowledge system ("Question Model" system)
"Asking Thinking Model" system: Basic questions - Ways of thinking - Specific thinking models
There are two major differences between the "Asking Thinking Model" system and the traditional knowledge system.
Basic question: All mental models are effective strategies for solving a problem
The starting point for the establishment of this knowledge system is neither a certain discipline nor a certain knowledge (or thinking model), but a new element that was not found in the past knowledge system: basic questions
Because all mental models are effective strategies for solving a certain problem, then the questions, not the answers, should govern knowledge.
way of thinking
This knowledge system does not directly connect problems and knowledge, but introduces a new element between the two: way of thinking.
This is also the key to establishing connections between mental models in different fields as we mentioned earlier.
Building bridges across disciplinary knowledge systems – seeing similarities
See similarities in problems: As long as we can see similar problems in different fields, we can connect effective strategies across disciplines
Find similarities with basic questions
When we use thinking models from different disciplines to solve problems, it is like bringing a group of people from different countries, different industries, and different languages into a war.
In order for this mixed force to exert its combat effectiveness, the first problem that must be solved is: everyone must have a common combat goal.
In other words, knowledge in different fields should solve similar basic problems
The essence of “integration” of interdisciplinary knowledge
The so-called ability to "integrate" interdisciplinary knowledge essentially means the ability to see what similar problems different fields face and what effective strategies different fields can learn from each other when dealing with these similar problems.
Example: Enterprises find the rules for formulating strategies in extremely complex environmental phenomena.
The first basic problem encountered in the development of biology: Where to start analyzing complex and diverse organisms
Solution ideas: Classify and discuss complex problems
Representative event: Linnaeus allocates household registration to biological groups
The second basic question encountered in the development of biology: What are the basic units that form biological individuals?
Solution: Apply the latest technology to enhance people’s research capabilities
Representative event: Leeuwenhoek discovered the cells that make up biological individuals
The third basic question encountered in the development of biology: What is the relationship between cells and different organisms?
Solution ideas: logical reasoning and bold assumptions
Representative event: Schleiden and Schwann proposed the cell theory, triggering the issue of "biological origins"
The fourth basic question encountered in the development of biology: How did such a wide variety of biological populations arise?
Solution: Enlarge the scale of thinking
Representative event: Darwin proposed the theory of evolution ("natural selection, survival of the fittest"
The fifth basic question encountered in the development of biology: Why do organisms mutate?
Solution: Introduce new technologies across disciplines—experimental testing and statistics
Representative event: Mendel’s discovery of the laws of inheritance revealed the reasons for differences among individuals of species
The sixth basic question encountered in the development of biology: How inheritance is carried out
Solution ideas: logical reasoning, bold assumptions, applying the latest technology to enhance people's research capabilities
Representative event: Watson and Crick discovered the double helix structure of DNA
The seventh basic question encountered in the development of biology: How genes work
Solution: Apply the latest technology
Representative event: Genome editing technology-artificial God
Some inspirations for dealing with complex problems
To understand a problem in a complex system, we need to approach it from different perspectives
This process can be summarized as: pull out to see the macro, then pull in to see the micro
This method of changing perspectives to analyze problems is extremely important. We will discuss this in an article later.
understanding of complex issues
If it cannot be solved in one dimension, you can analyze it by adding more dimensions. However, this process often requires more powerful technical support.
Example
Without the invention of the microscope, cells would not have been visible, and there would have been no subsequent series of breakthroughs in microscopic cognition.
Why technology is important
Because technology can open up new dimensions for us to describe and understand complex systems
And every time we add another dimension to our understanding of a complex problem, we have one more way to get closer to the essence of the problem.
However, when we encounter complex problems, we often ignore the importance of introducing new technologies
Of course, the technology here is not only science and engineering technology, but also ideology and technology.
Regarding this point, I will also discuss specifically in the following article: how to change the dimension of thinking about problems
To deal with complex problems, we need to learn more from interdisciplinary fields.
By looking for similarities behind problem phenomena, establishing connections between interdisciplinary knowledge, and refining basic questions, this is the key to establishing horizontal connections between knowledge in different fields.
The nutrition gained from this interdisciplinary exchange is not only the advantage of technological integration, but also the breakthrough of ideological inspiration.
There is nothing new under the sun. The questions we have here probably already have answers in other fields.
The skeleton that supports the interdisciplinary knowledge system—structured thinking
An expert's way of thinking
Experts know that only by first seeing the structure and key elements of the system can they understand the operating rules behind the system structure and finally make reliable analysis and judgments.
A more efficient and systematic way to solve problems is to first understand the type of problem, then gain insight into the structure, and finally arrange the details
People are accustomed to accumulating experience in things and then summarizing and refining
What is the basic issue behind this question?
What is the core idea to solve this basic problem?
Are there any common structural frameworks for analyzing this type of problem?
structured thinking
What is structured thinking?
The so-called "structured thinking" is different from the way we usually start with the details when solving problems. It is a global perspective that pays attention to the core and structure of the problem, and then uses this as a basis to understand the details.
Example
When watching a movie with structured thinking, the first thing you should pay attention to is not the specific plot of the movie, but its narrative structure.
How does the succession and transition support the content of the story?
The benefits of structured thinking
The biggest advantage of using this kind of structured thinking is that we can come up with ideas when we encounter problems, which greatly improves our efficiency in solving problems.
Example: The rapid rise of Pinduoduo
How structured thinking integrates various information and knowledge
Analyzing the rise of Pinduoduo from the perspective of “timing”
The background of the birth of Pinduoduo
The impact of “geographical convenience” on the rise of Pinduoduo
user
Added a group of new Internet users in fourth-, fifth- and sixth-tier cities who are not used to using Taobao and JD.com
Added a group of new Internet users in fourth-, fifth- and sixth-tier cities who are not used to using Taobao and JD.com
For these users, they may not be used to e-commerce shopping, but they all use WeChat. When they see a cheap shopping link in WeChat, they may start their first online shopping.
position
In addition to being geographically advantageous in attracting new users who value cost-effectiveness, Pinduoduo also has an advantage in the game with competitors.
This is because of Pinduoduo’s positioning
Users in fourth-, fifth- and sixth-tier cities who attach great importance to cost-effectiveness are precisely the users whose major competitors in the industry, such as Taobao and JD.com, feel that profits are too low and they are prone to problems such as counterfeiting and shoddy products that affect the company's brand image.
They are unwilling to open up these markets, which makes a relatively weak gap suddenly appear in the originally fiercely competitive e-commerce battlefield, which provides a new breakthrough for Pinduoduo, who has just joined the battlefield.
At this time, Pinduoduo took advantage of this market gap to enter the competition and occupy its own place.
The impact of “Rhehe” on the rise of Pinduoduo
Huang Zheng himself and his team are actually very capable
Example
When working on Pinduoduo, Huang Zheng found angel investors such as NetEase Ding Lei, SF Express Wang Wei, BBK founder Duan Yongping and Taobao founder Sun Tongyu. All of these people are industry giants.
Moreover, Huang Zheng has very rich business experience, and working on Pinduoduo is actually "a veteran entering a new battlefield."
Where there is a problem, there must be a structure
Almost every problem has a reason for framing
Any problem can belong to many different fields at the same time. In these fields, predecessors have often refined certain structural analysis tools.
For example, in the case of Pinduoduo, if we understand it as a strategic breakthrough issue, then we can think about it using the framework of strategic research issues, such as the "timing, location, and people" model.
If we think it is the field of marketing, then we can think about it using the marketing framework, such as the 4P theory, which is product, price, place and promotion.
If we think it belongs to the field of corporate competition, we can also use the competitive field thinking framework to analyze it, such as Porter's five forces model or Christensen's double S-curve theory.
Models involved
4C (Marketing)
Pay more attention to the user perspective: Ccustomer user, cost cost, Communication communication, Convenience convenience
4P (Marketing)
4P theory (Product, Price, Place, Promotion. Take its initial letters, meaning product, price, channel, promotion
AARRR (Marketing) - User Growth
AARRR is the abbreviation of Acquisition (user acquisition), Activation (user activation), Retention (retention), Revenue (revenue), and Refer (recommendation). These five words correspond to the five important links in the user life cycle.
Porter's Five Forces (Business Competition)
Porter's Five Forces Model
He believes that there are five forces in the industry that determine the scale and degree of competition. These five forces collectively affect the attractiveness of the industry and the competitive strategic decisions of existing enterprises.
The five forces are the competitiveness of existing competitors in the same industry, the ability of potential competitors to enter, the substitution ability of substitutes, the bargaining power of suppliers, and the bargaining power of buyers.
The core content of the multiple thinking model knowledge system
Use basic questions as the starting point for thinking, and use thinking methods to open up cross-domain knowledge
Use structured thinking to build the system skeleton, find similarities in problems, and connect cross-border knowledge in series
Book information
Author: Cheng Jia
Founder of the Innovation Business School of Culture and Tourism Industry at Huanxi University; one of the founders of the Beijing Nature Experience Industry National Innovation Alliance
I am curious about the power behind innovation that promotes human progress. I like to study great innovative figures in human history and inquire about the learning, cognition and innovation logic behind their innovative changes.
Subtitle: How to develop superb learning ability
Publisher: Beijing United Publishing Company
Publication year: 2019-10
introduction
What is a multiple thinking model?
Munger thinks
Learning is not about learning more knowledge, but about finding better basis for decision-making
It is those principles and laws that have been widely verified, which are called thinking models.
In short, strategies that can consistently and effectively solve problems are mental models.
Decision making we are familiar with
The basis for our decision-making is mainly personal past experience or the past experience of others.
The most powerful decision-making method of this era
Use the most important basic principles and laws of each discipline to make decisions
Breaking down barriers between disciplines
The key to interdisciplinary learning is not to learn more knowledge at all, but to find common problems faced by different fields.
1. A tool for lifelong learners
The underlying logic that builds deep thinking
Future competition will increasingly require our ability to understand the nature of problems.
Level of thinking = the degree of coincidence between [the hypothesis you made] and [the law of development of things]
The key to improving insight capabilities: finding lower-level laws
The reason why the past learning method that only relied on accumulating experience and knowledge points fell behind is not because it cannot learn more knowledge.
But because this method spends too much time on the accumulation of "knowledge" and rarely touches on the laws and principles behind the problem, it cannot significantly break through the boundaries of self-cognition.
What is a multiple thinking model?
The reason why mental models of thinking templates are important is that the response to the outside world depends on self-awareness.
ABC theory
The ABC theory proposed by the famous American psychologist Albert Ellis can explain
ABC theory believes that
How we respond (C) to external problems (A) does not essentially depend on the problems we encounter (A), but on our beliefs, perceptions, and interpretations (B)
Two pluralistic thinking models in the eyes of Charlie Munger
We should build a knowledge system based on thinking models
These mental models should be important principles from multiple important disciplines
Munger mentioned in a speech
To do this, you must know the important principles of important subjects and use them regularly
Use them all, not just a few. Most people only use the mental model of one subject they have studied, such as economics, and try to use one method to solve all problems.
Misunderstandings in thinking models
People ignore the key to the problem
The starting point for learning thinking models is not specific knowledge, but problem solving
A mental model that doesn’t know what problem to solve is just an isolated dead concept.
Munger smiled and said, "It's actually very simple. When you solve a problem, you have to pay attention to what works and what doesn't."
The key to learning thinking models: under what circumstances and when solving what problems is it effective?
For Charlie Munger
All strategies that can consistently and effectively solve problems can be called mental models
for us
Only those strategies that can be truly used when encountering problems are your own thinking models.
Otherwise, if you memorize a lot of mental models but don’t know what problems can be solved, you will just ignore the basics and focus on the last.
The more important way of thinking behind the thinking model
Munger is not like most people
When encountering a problem, you only think about how to solve a specific problem, but will refine more general methods based on the answers to specific questions.
That is to abstract the answers from specific problems and abstract them into effective strategies to guide the solution of similar problems in the future.
This method of batch problem solving is essentially about abstracting rules and principles from phenomena.
Keep asking whether there are more universal ideas and principles for solving problems hidden behind the questions and answers.
Multiple thinking models establish the underlying logic of cognitive competitiveness
Accumulating experience-based learning (PDCA)
The core of "God rewards those who work hard"
Not hard work, but diligence in trying new challenges
Through continuous trial and error in practice, we can gradually optimize and improve solutions to improve our decision-making capabilities.
Under this growth logic, the key points for success
dare to try
As the saying goes, only those who love to work hard will win. Only by working harder can we accumulate more practical experience.
Good at summarizing
When encountering various problems, you should ponder the experience behind it and continuously apply the experience into practice.
Disadvantages of PDCA
As the efficiency of human society improves, the speed at which we accumulate experience will increasingly fail to keep up with the speed of environmental changes.
Deep thinking growth
Nature
Deep thinking learning is a growth model that in a rapidly changing environment, penetrates into the nature of the problem and uses existing rules (thinking models) to directly attack the key points of the problem.
Its essence is to stand on the shoulders of giants and keep moving forward
Assumptions of the deep thinking growth path (insight into the nature of the problem)
it thinks
There is nothing new under the sun. We don’t need to reinvent the wheel. Many problems have been discovered and summarized by predecessors with efficient methods and rules.
The crux of the matter
Can we gain insight into the nature of the problem from various phenomena that appear to be new problems?
People who can quickly understand the nature of a problem can find better answers in a shorter time than people who have accumulated experience.
Characteristics of this way of thinking
It takes a lot of time to analyze the nature of the problem
You should spend time learning the principles and laws that have been discovered by predecessors but that you have not yet mastered, and enrich your knowledge base.
Under this growth logic, the key points for success
Understand the nature of the problem
To do this, you need to accumulate interdisciplinary knowledge and experience and be able to accurately see the essence of the problem
Master a large number of principles and laws
Rather than relying on your own practice and exploration, you should spend time learning the best practices or laws and principles of all mankind, and stand on the shoulders of giants to think and solve problems.
How to find as many high-quality mental models as possible? (OODA
OODA (observe, adjust, decide, act)
OODA stands for the first letters of four English words for decision-making process.
Observe, Orient, Decide and Action
The essential difference between OODA and PDCA
The decision-making mechanism of PDCA is to assume that the external environment is relatively stable.
So the first step in our decision-making is to "plan" for the environment
OODA is completely different. Its ideological basis is the acknowledgment that the external environment is changing at any time, so the premise of decision-making is not planning, but dynamic "observation" and "adjustment"
OODA focuses its core energy on systematically and dynamically determining the nature of the problem. With this premise, it is relatively simple to invoke appropriate strategies to take action.
HOW
The new ideas developed by the U.S. Air Force in response to environmental changes are exactly the ideas we should learn from when facing environmental changes today.
In a rapidly changing environment, we must also establish a "sensor system" for our own learning.
From the ideological practice in different industries and fields, obtain ideological information across disciplines and master the thinking models of different disciplines, so as to deeply analyze the nature of the problem and timely adjust the analysis and problem-solving strategies.
Four levels of problem solving using the multiple thinking model
Ask about the rationale behind effective strategies
Having in-depth thinking means that we can not only see the specific phenomena and solutions to the problem, but also the underlying laws behind the solutions.
Not only can you understand the superficial causes of the problem, but you can also gain insight into the underlying principles behind the causes. You can even see that what is a successful and effective strategy at one level of thinking may be a negative and harmful strategy at another level of thinking.
Four levels of thinking models
experience skills
The first type is the experience-based thinking model, which is often derived from the summary of practical experience and can provide inspiration when we deal with specific problems.
Features: Small sample heuristic summary
Examples: chop off the ankles, capture the thief first and capture the king first
Method flow type
The second type is the method-process thinking model, which standardizes and processes solutions to many common problems.
Popular methodological books similar to McKinsey's work methods on the market often provide reusable thinking models at this level.
Features: Streamlined large-sample experience
Examples: swto analysis, pest analysis, growth AARRR
discipline principle type
The third category is subject principle thinking model, which is an important thinking model for thinking and solving problems discovered by scientists in various disciplines.
To use Charlie Munger's point of view, the important principles of important subjects
Features: Scientific method verification
Examples: mathematics, psychology (anchoring), system dynamics, etc.
philosophical perspective
The fourth category is the philosophical perspective thinking model, which refers to the most basic ways of thinking and ideas for thinking about problems in different disciplines, and is the different angles from which we understand the world.
Characteristics: Rational and speculative thinking style
Examples: entropy increase thinking, evolutionary thinking, mechanistic thinking
The first three levels of thinking models are all about finding effective strategies at the level of answers, and what is learned is specific declarative knowledge, while the philosophical perspective is about finding effective strategies at the level of questions and ways of thinking, and what is learned is how to think. sexual knowledge
Prism method breaks down problem levels
prism of thought
The prism of thought is that we should not only look for answers across fields, but also continue to ask questions based on the answers.
Questioning and summarizing the different levels of thinking models behind the answers
Subject principles
In fact, the demand triangle tool is derived from the demand definition in "Marketing Management"
Philosophical Perspective: Reductive Analysis
Example
Method Tool: Requirements Triangle
Need = Ability Target Sense of Lack
Go beyond answers to find lower-level thinking models
The initial stage of learning often focuses on "specific answers", while the more advanced stages of learning focus on the ideas that form the answer, that is, the process of thinking about the answer, which is more important than the answer itself.
Blind spots in thinking (Johari Window)
Because any blind spot in thinking will affect our decision-making
On the other hand, once we discover and make up for a blind spot in thinking, we can systematically improve our thinking ability.
For example: The way I discovered whether we think about ourselves or others is very simple, but it affects many of our decision-making methods.
So this change in thinking will bring opportunities for business innovation, and will continue to happen in many fields. If you can look at the business model from this perspective early, you are likely to find new business innovation opportunities.
The most effective strategies often come not from the answers, but from the way you think about the answers
Learn ways of thinking from “useless uses”
read history books
The important method is to "put yourself into the historical scene and question your own practices." Only by returning to the scene at that time can we see the exquisite way of thinking of our predecessors.
Therefore, as long as we master the method of continuing to ask questions about the thinking process on the basis of asking for answers, we can not only learn from life, but also gain important gains from seemingly useless subjects such as history, literature, philosophy, art, religion, etc.
It’s not about becoming experts in various fields, but “to think like”
Think like experts in different fields. The farther apart two disciplines are, the greater the difference in the way of thinking they use when solving problems, and the more they can enrich and improve our way of thinking.
Caesar’s approach: two inspirations from the way of thinking
These two ways of thinking have become my core thinking models - "questioning questions" and "changing the source"
Questioning the very questions we ask
When we can’t find the answer, we can ask ourselves: Is the problem we want to solve wrong?
Think about the problem from the source of the dilemma
Most people accept the difficulties brought by heavy rains and just think about how to deal with them.
Caesar thought about the source of the dilemma
Although I can't control the heavy rain, I can change the direction of the flood.
Why does the problem caused by the heavy rain have to be mine?
2. Master the practical methods of thinking models
Three ways to find thinking models through reading
Dictionary search method - quickly discover effective empirical strategies and methodologies
explain
I buy many business best-sellers and tool and method books. I don’t pursue reading them all. When I encounter a problem, I read related books with questions and find out what “thinking models” different authors have used for the same problem. "
Of course, finding the thinking model by "looking it up in the dictionary" is fast, but the understanding and memory may not be firm.
In order to solve this problem, I developed a "non-reading method" to accelerate the mastery of thinking models in conjunction with the dictionary method.
No reading method
The so-called "non-reading method" means that once we see a thinking model that inspires us while reading, we close the book and stop reading.
In fact, the key to mastering knowledge lies in thinking and practicing valuable solution strategies.
Now, we need to adjust the time allocation for reading: spend 20% of the time reading and 80% of the time thinking.
Operation without reading method
Once you read something you find useful/interesting, stop and close the book
ask yourself questions
Why did this point inspire me? What problem is it solving? Can you use this inspiration point in your life?
Interrupt our "greed" through the "not reading" mechanism, spend 80% of our time thinking and training, and improve our cognition
You know, top athletes spend 80% of their time training, not competing.
Keyword method - looking for a more systematic thinking model
The so-called keyword method is to increase the unit of reading from looking for a single breakthrough of the model in the article to looking for systematic thinking of analytical logic from the entire book.
In this way, when we read, we must first think about what the issue is to be discussed in this book, and then look at what knowledge, concepts and mental models the author uses to analyze this issue, and then summarize the important concepts and mental models in the form of keywords. Find out the form and organize it into a knowledge structure that explains the problem, that is, a keyword network
Keyword Reading Method Steps
Analyze and determine what is the core issue the author is trying to solve in the book
This can be done by studying what is on the front or back cover of the book. Discover the theme. You can also find it in the preface or postscript
Find the key words related to the core issues in the book
Usually the core keywords of a book can be found in the book catalog
What is the relationship between these keywords, what logic do they use to solve the problem, and what are the effective strategies?
Knowing people, analyzing the world and thinking map method - seeing the limitations of thinking methods and strategies
In other words, if we only pay attention to the visible knowledge written by the author, and ignore the era, environment, psychological and other backgrounds when the author wrote these contents, it will be difficult to say that we truly understand the author's thoughts, and we may even misunderstand them. author's thoughts
The core reason why we want to "know people and analyze the world" to study an idea deeply is to understand the conditions for the creation of a thinking model and the resulting applicable boundaries.
Two methods can also speed up our formation of this global perspective.
Read the history of intellectual development in various fields
Study “Research Reviews” in related fields
Core methods for learning mental models at work
The key to rapid progress at work: find other people’s advantageous strategies and transform tacit knowledge into explicit thinking models
We need to spend more time exploring the "tacit knowledge" of outstanding colleagues and transform them into thinking models that can be used by ourselves.
How do they organize their work? How do they think about problems? Why did they make such a decision? What is the mental model behind these actions?
"Five-star note-taking method", use notes to mine tacit knowledge
The purpose of taking notes
It is not about recording other people’s thoughts or opinions, but about learning from other people’s thoughts and practices, improving our own knowledge system, and finding more effective strategies to solve problems.
How to do it
Before taking notes every time, I first draw a five-pointed star. Each corner represents a question. There are five questions in total. The process of taking notes is the process of answering these five questions.
After answering the five questions, the notes are completed.
why do this
The core principle behind this method is that even if you write down what others say, it is still their knowledge.
Only by further processing what others have said, putting other people's knowledge into our own knowledge system, and connecting those inspirations and gains with our own experiences and next actions can we truly extract from what others have done. Essence
Five-star note-taking steps
Anticipate what the other party’s core content is and why this content is worthy of discussion.
Record the logic of the other party’s explanation
Reasoning logic is often more important than specific conclusions
What questions and inspirations do I have in this discussion?
What effective strategies (thinking models) can be distilled from the other party’s practices, ideas, or inspiration points to me?
We should try our best to connect the new inspiration points we obtain with other principles we have learned in the past, and use new principles to explain old principles, so that we can understand this inspiration more deeply.
What inspirations did I get from this discussion that I can immediately turn into next steps? How do I apply them to my life?
Practical methods for mastering thinking models: super-class learning methods
The first link: "Super" means that when you encounter a problem, you must first find answers from super connections and refine your thinking model.
Active mode: The core of active mode is to take advantage of comparative advantages
Use an important thinking model in economics: comparative advantage
The so-called "comparative advantage"
In academic terms, it is the act of one producer producing an item at a lower opportunity cost than another producer.
To put it in the vernacular, Xiao Wang is not as good as you at something, but when you have more important things to do, leaving this matter to Xiao Wang is actually a good thing for both you and Xiao Wang.
The essence of social interaction is the exchange of resources and value. If you can’t help others, others can’t help you. Social interaction in the unfamiliar mode is so pure.
Passive mode: The core of passive mode is to join high-value networks
Where you are is often more important than what you do. The environment does not determine the level of effort, but the environment will exponentially amplify the effect of your efforts.
Choose a high-value network
How to judge whether the environment in which you work and live belongs to a "high-value network"
The indicator I often use is to look at the probability of innovation opportunities in the environment.
Circle: We often say that choice is greater than effort. In fact, choice itself affects effort.
If we cannot establish contact with masters in reality, we can also settle for the next best thing and read books or articles by masters and masters.
At this time, looking for books by masters is also considered looking for super connections.
Master-level super connections can be divided into 4 categories
A founder-type master who creates a new field
The turning master who established a new genre
The integrated master who unifies the viewpoints of various companies
Dissenters
Following this thread, you can find the most important super-connected people and books in this field
By comparing the views of different role masters, we will have a more comprehensive and in-depth understanding of the problem, and then refine the underlying thinking model.
The second link: "One": draw inferences from one example and use one thinking model in multiple scenarios
Multidimensional memory (three promotion methods)
situational learning
The so-called "situational learning" means that when learning knowledge, you should learn in different scenarios as much as possible
In other words, changing the scene learning makes memory more efficient.
Simply put in one sentence: how to use knowledge in the future, how to remember knowledge now
Applying situational learning method not only allows us to learn in different situations every time
Pay attention to different aspects of the problem and increase new understanding of existing knowledge. At the same time, after changing the scene, we will also learn new relevant knowledge and further establish extensive connections between different knowledge. This is very important for building our knowledge relationships. Internet is helpful
alternate learning
The so-called "alternating learning" means that we need to alternately change the content of learning
In the past, we always thought that learning knowledge should be done step by step, because only by focusing on one thing can we be efficient. However, practice has proved that simply learning one subject for a long time is not effective.
Because materials with the same properties are too monotonous to stimulate brain nerves, over time, the corresponding areas of the brain can easily become fatigued due to overload.
Review test
On the one hand, we must regularly review the knowledge we have learned
On the other hand, we must also avoid mechanical and monotonous review
At this time, it is necessary to actively apply the "test effect" to improve the efficiency of internalization
method
Ask first, review later
Strengthen your understanding and memory by thinking first and then comparing the difference between the content of your notes and the actual content of your notes.
Draw inferences from one example (thinking model poker method)
To put it simply, in order to master a thinking model, we need to apply it in at least three different scenarios.
3 steps
The so-called "Thinking Model Poker Method"
It is to make the thinking models we want to master into application cards. When encountering a problem, pull out the cards like playing cards and think about whether the thinking model on the selected card can be used in the current problem.
If possible, record this scenario in the application case of this mental model.
When making cards, the core is not to write down the concepts of the mental model, but to refine the purpose of the mental model.
Just recording the definition of the mental model makes it difficult to quickly find the connection between the problem and the mental model when encountering a problem
Only by writing down the purpose of the mental model can we quickly think of application scenarios.
Think about the cards repeatedly to train your sensitivity to the application of relevant thinking models
Example: The anchoring effect is a mental model that can be practically used in salary negotiations.
As the number of cases increases, the card’s definition of the purpose and scope of application of the mental model is constantly iterated.
The third link: "Flow" refers to training the mastered thinking model into an intuitive response that flows like lightning.
Automate complex problems (cognitive decision-making of the brain)
Internalized core methods
Method 1: Use “familiar” to understand “unfamiliar”
If we want to increase the speed at which we learn new knowledge, we should spend time thinking
What analogies to more familiar knowledge can be used to understand this new field of knowledge?
Many times, we only focus on learning new knowledge, but rarely take the time to separate from the new knowledge and look for things in the existing knowledge that are similar to the new knowledge.
This ability to find similar "patterns" between things is an advanced level of cognitive internalization
Method 2: Use “repetition” to increase “speed”
The training ground for thinking skills is the reflective journal
Writing a reflective diary is a method that I highly recommend for internalizing knowledge.
Regularly recording reflective diaries can form a systematic archive, which plays an extremely important role in reviewing, reviewing, and improving our cognitive abilities.