Model 3 Learning from Those Who Achieve Results
Model 3: Learning from Those Who Achieve Results
1. What to Learn? Cognitive Models, Not Specific Operations
Review of the Previous Two Models
- Model 1: Cognition leads to action, action leads to results. Results are then used to verify cognition.
- Model 2: Theories address generality and simplicity, not accuracy. Accuracy comes from practice.
Why Learn Cognitive Models?
A cognitive model is a universal framework for judging and understanding the essence of things. It focuses on the overall picture and the big picture, rather than specific operations. By learning cognitive models, we can achieve results in different fields. Accuracy is verified through one’s own practice; this is the core reason we learn cognitive models.
2. Who to Learn From? People Who Achieve Results in Different Fields Through Models
Learning Channels
We can learn through books, courses, mentors, etc., but selection is crucial. The core principle is to follow those who have achieved results in different fields. For example, when buying books, choose those recommended or written by people with proven success. Pay attention to the author’s background and whether they have achieved recognized success in a particular field; this is the determining criterion.
Case Analysis
Today, there are many online tutorials, but not all instructors have achieved real results. For instance, many people on Douyin (TikTok in China) teach how to use Douyin but don’t have accounts with over 1 million followers themselves. Such individuals lack practical results and are not worth learning from.
When judging whether someone has achieved results in a field, we should focus on their verifiable achievements. For example, has someone working at a company achieved demonstrable performance in their position, and is this performance recognized within the industry? This is our standard for determining whether someone has truly “achieved results.”
Extended Discussion: What Does “Achieving Results” Mean?
People who truly achieve results can do so in multiple different fields. Achieving success in one area might be attributed to luck, but consistently achieving results across different domains indicates a powerful underlying cognitive framework. For example, Leonardo da Vinci achieved outstanding accomplishments in multiple disciplines. Such individuals are worth learning from.
3. How to Learn? Don’t Expect Complete Instruction; Practice What You Learn, Gradually Piece It Together
Importance of Practice
Don’t expect others to teach you everything completely. You should start practicing as soon as you’ve grasped the basics. Only through practice can you verify the accuracy of your cognition. Adopt a “puzzle” mindset, piecing together fragmented knowledge and experience to form your own framework.
Examples
A member of our team, Chuan Zong, has experience at New Oriental, Xueersi, Baidu, and Meituan, where he achieved tangible results. After joining our team, he increased Douyin followers from 2 million to 4.3 million and monthly revenue from ¥200,000 to ¥2,000,000. This isn’t because of a single outstanding skill; it’s because of his robust underlying cognitive framework.
Similarly, Li Guoqing achieved success with Dangdang and is now doing well selling wine on Douyin. This shows his ability to achieve results at different stages.
Continuous Practice and Verification
The key to learning cognitive models is continuous practice, experimentation, and verification. Make mistakes in the right direction every day, and constantly improve your abilities. Accuracy is something you must achieve through practice; it’s not someone else’s responsibility.
Summary
- What to Learn? Learn cognitive models, not specific operations. Models address generality and simplicity; accuracy requires personal practice.
- Who to Learn From? Choose people who consistently achieve results in different fields and learn from their cognitive frameworks.
- How to Learn? Don’t expect complete instruction; practice what you learn and gradually build your own cognitive model.
Through continuous practice and verification, our cognitive models will become increasingly complete, enabling us to achieve results in various fields.