MindMap Gallery Learning Compound Interest - Building a Model Knowledge System
This is a mind map about learning thinking, which mainly includes: knowledge tree, brain algorithm, fractal innovation, T-shaped thinking, and review thinking. In the ever-changing era, we not only need to master diverse knowledge and systematic knowledge, but also the logic behind methodology.
Edited at 2025-09-17 10:09:25Mappa mentale per il piano di inserimento dei nuovi dipendenti nella prima settimana. Strutturata per giorni: Giorno 1 – benvenuto, configurazione strumenti, presentazione team. Secondo giorno – formazione su policy aziendali e obiettivi del ruolo. Terzo giorno – affiancamento e primi task guidati. Il quarto giorno – riunioni con dipartimenti chiave e feedback intermedio. Il quinto giorno – revisione settimanale, definizione obiettivi a breve termine e integrazione culturale.
Mappa mentale per l’analisi della formazione francese ai Mondiali 2026. Punti chiave: attacco stellare guidato da Mbappé, con triplice minaccia (profondità, taglio, sponda). Criticità: centrocampo poco creativo – la costruzione offensiva dipende dagli attaccanti che arretrano. Difesa solida (Upamecano, Saliba, Koundé). Portiere Maignan. Variabili: gestione infortuni e condizione fisica dei big. Ideale per scout, giornalisti e tifosi.
Mappa mentale per l’analisi della formazione francese ai Mondiali 2026. Punti chiave: attacco stellare guidato da Mbappé, con triplice minaccia (profondità, taglio, sponda). Criticità: centrocampo poco creativo – la costruzione offensiva dipende dagli attaccanti che arretrano. Difesa solida (Upamecano, Saliba, Koundé). Portiere Maignan. Variabili: gestione infortuni e condizione fisica dei big. Ideale per scout, giornalisti e tifosi.
Mappa mentale per il piano di inserimento dei nuovi dipendenti nella prima settimana. Strutturata per giorni: Giorno 1 – benvenuto, configurazione strumenti, presentazione team. Secondo giorno – formazione su policy aziendali e obiettivi del ruolo. Terzo giorno – affiancamento e primi task guidati. Il quarto giorno – riunioni con dipartimenti chiave e feedback intermedio. Il quinto giorno – revisione settimanale, definizione obiettivi a breve termine e integrazione culturale.
Mappa mentale per l’analisi della formazione francese ai Mondiali 2026. Punti chiave: attacco stellare guidato da Mbappé, con triplice minaccia (profondità, taglio, sponda). Criticità: centrocampo poco creativo – la costruzione offensiva dipende dagli attaccanti che arretrano. Difesa solida (Upamecano, Saliba, Koundé). Portiere Maignan. Variabili: gestione infortuni e condizione fisica dei big. Ideale per scout, giornalisti e tifosi.
Mappa mentale per l’analisi della formazione francese ai Mondiali 2026. Punti chiave: attacco stellare guidato da Mbappé, con triplice minaccia (profondità, taglio, sponda). Criticità: centrocampo poco creativo – la costruzione offensiva dipende dagli attaccanti che arretrano. Difesa solida (Upamecano, Saliba, Koundé). Portiere Maignan. Variabili: gestione infortuni e condizione fisica dei big. Ideale per scout, giornalisti e tifosi.
Compound interest thinking
Compound interest in thinking
Compound interest thinking
Entropy increase law
Marginal cost
Craftsman spirit
Intangible assets
Compound time
Long-termism
Discount thinking
Financial thinking
Opportunity Cost
Sunken cost
Learning compound interest
Knowledge Tree
Brain Algorithm
Fractal Innovation
T-shaped thinking
Review thinking
Cognitive compound interest
Brain fog
Ability Trap
Reverse thinking
Closed-loop thinking
Directed thinking
Herd thinking
Growth compound interest
Horsefly effect
Internal drive capability
Misplaced competition
Frog effect
I'm in the mirror
Habits compound interest
How to
Facade effect
Path dependency
Restrain desires
Complaint effect
Learning compound interest - building a modeled knowledge system
⑪ Knowledge Tree The third module selected from the six modules of "Compound Interest Thinking": Learning Compound Interest
Knowledge tree, a more efficient and systematic methodology!
The human brain is like a tall tree, covered with knowledge from different industries and fields, such as financial commerce, marketing, operations, etc.; Knowledge is structured and work content is systematic. Learning should first master the "trunk framework" and then supplement the content into the large framework. The knowledge tree is such a learning method that can solve complex problems. It is a highly inclusive learning method that can help us quickly clarify the knowledge system and master the underlying logic in a short period of time.
About the "Knowledge Tree"
What is knowledge structure?
Knowledge structure is a systematic methodology composed of multiple knowledge points. Store methodologies of systematization of different dimensions in the brain form a way for a person's brain to think about problems.
Knowledge points are the minimization unit that forms the learned skills. Different from information, information includes information and knowledge points. Information means that in personal growth, those irrelevant things that seem to be "dry goods" and methodological methods cannot play a role at critical moments.
The "Knowledge Tree" is essentially a hierarchical knowledge graph, which expresses the causal or subordinate relationship between the knowledge related to achieve the goal. As a branch of the "knowledge tree", the knowledge system develops with the change of time. It is dynamic, not static, and will change with the development of society or organizational changes.
Think with the "knowledge tree" structure
The core of learning is not proficiency, but the second is to master the foundation first, because everything in this world changes very quickly, and the essential income of the industry is cognitive poor.
"One person does special work"
Many people spend a lot of energy on research in order to find solutions. In fact, it is wrong. If you look for solutions, the better solution is to find talents in matching positions.
"Effective learning" should be:
To understand the essence more deeply, you should master the logic behind the mining from systematically to the logic behind the mining.
The thinking model of the knowledge tree is to let us know how to learn what others are systematic, find the essential model that is connected to the methodology, integrate it into our own methodology, and then sort it out into a new knowledge system, so that our thinking can be clear enough.
Methodology for building a knowledge tree
Static learning
The essence of Jingtian’s learning is the logic behind learning methodology. First let yourself know what the logic is, so that you can know what the logic is, and thus improve your cognition.
The scenery is completely different when standing on the tenth floor and looking at the first floor on the fifth floor.
Dynamic learning
The essence of dynamic learning is to require oneself to practice deliberately and verify it yourself to obtain the truth and refine one's own methodology.
In short, movement and stillness must be combined. Most people think that they understand a lot after reading the book. In fact, it is wrong. They need to be refined, practiced deliberately, and polished, and the methodology summarized in the end is their own.
Finding the essence with the "knowledge tree"
How to exercise your ability to find the underlying logic of things?
Entropy reduction
System Model
Classification thinking
Core view:
Build a knowledge tree and grow cognitively one step faster.
It is divided into two types: isolated and grid-type content, and it is a methodology that breeds through grid-type content refining. If you use the layering metaphor of skin, the stratum corneum learns "fragmented knowledge", the granular layer learns "experience", the organic layer learns "methodological process", and the base layer learns "phisho thinking" to find rules.
Provoke thought
How should each of us master the "backbone framework" of our own knowledge system?
How to operate the thinking of the knowledge tree to think?
⑫Brain Algorithm The third module selected from the six modules of "Compound Interest Thinking": Learning Compound Interest
Brain algorithm, learning ability is to stimulate the brain!
People’s memory is limited, and geniuses who never forget everything are a few after all. For most people, conscious practice can prevent their brain from "rusting". How to cultivate your own deep thinking ability? It is a "effective thinking and positive feedback system". Just like a knowledge system, it opens up the bottom of the brain through various effective cognitive intakes, forms diversified thinking, and finally has the ability to solve problems.
The feedback principle of the brain (CPU)
Throughout his life, the brain is doing one thing, that is, to receive external information input through different sensory organs, and then process and interpret it, and transform it into the output of behavior. All this process is called the feedback mechanism of the brain.
Whatever you pass it to the brain, the brain accepts. The more you watch videos every day, feeding it lazy and boring things, the less it wants to think; You pass on it complex things every day, requiring various thoughts and repeated considerations, and it will adjust the processing speed and try to change until it can meet your various needs.
Many people "stay in the inherent cognitive black room", adding a layer of tinted glasses to people and things from a subjective perspective to protect themselves. How to make the feedback mechanism stronger? ——It depends on the integration of one's own mind and reality. Change the inherent system structure → Continuous exploration and pursuit of the heart → Realize cognition-absorbing-receiving feedback-inner evolution-adapting to the environment, this is the process of becoming a human being stronger.
Redesign the brain operating system
Train your brain to read books that require "brain"!
The brain is also a PDCA process, so how can we think deeply?
Step 1: Train it to accept difficult things
Step 2: Design thinking mode
Step 3: Improve the way of dealing with "free energy"
The feedback mechanism is considered to be thinking, and it is divided into three types:
Thought-based thinking: relatively shallow, random ideas, unfounded analysis, is the brain's energy-saving model and is random.
Cognitive thinking: Think based on your own knowledge reserves. Training CPU cognition: establish coordinates, "deliberately" practice, and establish a knowledge system.
Observational thinking: Taking natural laws, human nature, and humanity as the core, "demolition of the wall of thinking!", I have my own set of judgment standards. All information is not distinguished from good or bad in me. It is only whether it is useful, whether it can iterate its cognition, and whether it can remove its obscurity.
Core view:
The brain algorithm is simply like a set of PDCA cycles. First, deliberately practice the "brain" to let it contact and deal with difficult things; secondly, establish new cognitive coordinates of things; again improve the way of handling "free energy", and finally iterate the habits and methods to stimulate the above process to achieve the effect of "transformation of new and old". And all these steps are also called the "feedback mechanism".
Provoke thought
How to redesign your own brain operation mechanism and break it down to the wall of thinking?
⑬Fractal Innovation The third module selected from the six modules of "Compound Interest Thinking": Learning Compound Interest
Fractal innovation, a methodology for breaking through cognitive bottlenecks!
I've heard of this story: "In the past, there was a mountain, and there were a temple in the mountain. There were two monks in the temple, one of the great monks and the other one of the little monks. The great monk said..." In evolution, Darwin believes that: A species becomes a new species, not a species suddenly transforms. The protagonist of survival competition is not competition between species, but competition between individuals of the same species. "mutation selection" causes new species to appear, and its essence is fractal. ByteDance is like an incubator, constantly incubating around information and users, and behind this is typical fractal thinking.
Fractal Theory
The two cores of fractal theory are "self-similarity" and "iterative generation". The fractal method is essentially a systematic method. The study of fractal phenomenon requires finding the smallest unit to enter from a holistic perspective, and is closely related to the fractal and self-organization and chaos theories that deal with complex things in recent decades.
In the entire self-organizing culture, there may be other different points of interest and resonance, and then these points can evolve, which is fractal. Keep the original unchanged and find new directions. All of this actually has self-similarity.
"Run quickly with small steps, dare to try and make mistakes, and iterate quickly."
Why is iterative generation important? The biggest advantage of rapid iterative generation is that it can get user feedback in a timely manner, so that the product direction can be quickly adjusted from an operational perspective, avoid wasting energy and time on useless functions, and reduce risks.
The new fractal should be based on the old organization and find the "common points" between the fractal "product" and "brand" which is the second breakthrough in growth.
"Minimum principle of action" in fractals
The minimum action principle is based on the company's "first curve" that is unchanged, and continuously upgrade the "supply side" with the existing user needs as the guide, consolidating the main channel.
Touch the "user pain point", and users are still using old products ➡️ "fractals" that develop scenarios around new needs ➡️ Split small organizations and iterate quickly
Fractal Innovation is essentially a boundary game, divided into "limited games" and "unlimited games"
Limited games are "internal play", focusing on the stock, opening up the market from a small part of the stock.
Infinite games are "external play", playing with rules, and exploring and changing oneself.
"Too many executives will only focus on the boundaries of their business and the scale of their business, rather than what they are at their core." - Wang Xing, founder of Meituan
The essence of "fractal" is "evolution"
Darwin believes that the development of all things is based on the natural relationships in complex sequences, and it continuously combines, reproduces and creates a small group of organisms with several genes that can be randomly mutated. This process is human evolution theory.
The prototype of all organizations is determined by "several starters". In the startup stage of the company, everything may be disrupted; In order to survive, "stage talents" may be selected; To improve efficiency, managers may choose more “executive people”; All of this is constantly diluting the "original concept". When the business scale develops to a sufficient scale and survives stably, the most important thing to accelerate iteration is the company culture.
Core view:
Fractal = Genetic Variation Market Selection The prerequisite is to consolidate the "first curve", and then switch to "partial scenarios" around the users in the "first curve", thereby developing new businesses and then reaching the "second growth".
Provoke thought
What is the correlation between corporate fractals and personal fractals? Thinking about personal fractals: What is your first curve? Have you been consolidated? After being compacted, is the "second curve" fractal performed on the original basis?
⑭T-shaped thinking The third module selected from the six modules of "Compound Interest Thinking": Learning Compound Interest
T-shaped thinking, good learning is a versatile skill!
T-shaped thinking requires us not only to have core professional knowledge (depth of vertical industries), but also to have extensive experiences and rich life experiences, and to know how to deal with various situations (width of horizontality). A T-shaped thinker must be an open-minded, curious, well-read and knowledgeable person. This means that becoming a T-shaped thinker is a gradual process, and the earlier you start, the better. Such a person is not a person who is very good at technological innovation, but he is definitely an excellent and flexible leadership talent.
T-shaped thinking
The biggest feature of T-type talents is that they are "one specialist and multi-abilities". No matter how hard they are, they have a guaranteed trump card to support them. If you want to be an expert in an industry, in addition to internal experience, you also need to have a keen judgment and master the basic underlying logic of things.
60%-70% of people are looking forward to it, because doing something in one field in depth and repetition means it may be very boring, boring and fixed.
There are two main factors that differ between people: one is growth thinking, and the other is perseverance and perseverance.
Must have a "T-shaped" thinking
Only those with experience working in multiple industries have more opportunities. Because a single work experience will weaken their negotiating ability in the market, and people with horizontal work experience have rich work experience and different perspectives from looking at things. They are not very substitutable and are more likely to stand out. The horizontal structural ability and vertical ability of T-shaped thinking are not divided into primary and secondary, and are complementary.
In the era of "cross-border robbery", you need to understand that defeating your opponent is not necessarily in the industry. This is a typical "interdisciplinary" learning thinking.
Reshape your "knowledge structure"
When information develops too fast, the boundaries of knowledge become more blurred, which means you need to prepare your knowledge reserves across disciplines anytime, anywhere.
Today's T-shaped thinking requires you to be a dynamic and static slash, and your slash is expressed in "You have methodology on your core track" and "You have methodology reserves on other tracks", and you can quickly adapt to the development and changes of the industry.
Input = learning; output = learning.
In T-shaped thinking, learning alone is not enough, you also have to output. The most difficult thing is not to establish the knowledge structure itself, but to output and persist for a long time.
Install more APPs for your CPU
How to achieve brain upgrade through T-shaped thinking
First, release it first and then install it. Throw away useless, fragmented, and incompetent trivial things ➡️Installation more things that become systems ➡️Sublim your thinking model ➡️Start thinking about the essential things ➡️Build barriers.
Second, integrate and pursue essence.
Core view:
Develop the habit of learning and outputting at any time every day to open up boundaries and expand influence. You need to establish your own core professional knowledge system as soon as possible and expand your knowledge in other aspects.
Provoke thought
Always remind yourself that the most difficult thing to do in T-shaped thinking is how to ensure "long-term output and persistence"?
⑮Review thinking The third module selected from the six modules of "Compound Interest Thinking": Learning Compound Interest
Review your thinking and make your efforts more valuable!
We always think that we are very efficient, but after reviewing the market, we find that we just feel good about ourselves; we always think that our time management is very strict, but after reviewing the market, we find that the effective time is less than five hours a day. Many times, when you feel that you are very busy but the result is not satisfactory, you need to review your life and work. Review thinking requires us to make self-change, break out of the level of the authorities, examine our past from a higher dimension, and actively engage in real self-awareness.
A brief discussion on "review"
Definition of review
Take out the past for thinking and practice, so as to achieve the purpose of summarizing the past and improving the future.
A complete review process includes: personal experience, reviewing the past, reflecting, researching and improving five keywords.
The depth of review determines the quality of self-renewal
The frequency of review determines the speed of self-renewal
The continuity of the review determines the speed of self-awareness improvement
Everyone needs to review
"My evaluation of my IQ is medium and has a high EQ, but compared with others, I don't seem to have much advantage. So what is my advantage? It is to be diligent in reviewing." - Lenovo-Liu Chuanzhi
Benefits of review:
Review is the most effective way to learn by yourself
Recalling can continuously correct your choice route
Recalling is an effective method of centralized learning
Establish a scientific review model
Whether a review is formalism or deep growth depends on two important factors: First, our own mentality. An open mind can allow us to face problems and express them frankly, thus bringing deeper understanding; On the other hand, it is to do it casually and respond hastily.
Five elements of deep review
Results comparison
The whole process reappears
Analyzing the gains and losses
Rule summary
Make a plan
Core view:
Recalling is a process of transforming experience into ability. For example, you have done something and achieved success. Through reflection and research, you have formed your own systematic methodology, thereby qualitatively improving your cognition. At the same time, in the review process, we must keep in mind five core elements: comparison of results, reproduction of the entire process, analysis of gains and losses, summary of laws, and formulation of plans.
Provoke thought
Everything can be reviewed. Have we really reviewed it in-depth?