Current location - Loan Platform Complete Network - Big data management - Microcosmic Body: Why is it that after reading so many articles, life still doesn't change at all?
Microcosmic Body: Why is it that after reading so many articles, life still doesn't change at all?
Inside your consultation, there is a great deal of such confusion.

I've read a lot of articles and taken a lot of courses, but I just don't think it's useful to learn, and I don't think I've made any significant changes in my life.

What is the problem? The first thing I'd like to do is to get a good understanding of the concept of "the world of work".

This question has always bothered me, and now I have some answers: because action is the starting point for change.

The entire history of human civilization can be summarized as the history of learning and transmission of knowledge.

If one day human beings stop learning and passing on knowledge, then the whole civilization will come to an abrupt end.

However, what exactly is learning, and what are we learning when we learn?

I once wrote an article called Giant Thinking, where we are actually learning from giants.

But after entering the workplace, I suddenly realized that learning about giants seems far from enough.

The problem is: in fact, a lot of knowledge, the giants can not teach us, this part of the knowledge is called tacit knowledge, also known as tacit knowledge, that is, only the knowledge that can only be understood and can not be passed on.

All the knowledge we learn in our lifetime can be categorized into two types: tacit knowledge and explicit knowledge.

Explicit knowledge: knowledge that can be expressed through language.

This is the part of knowledge that we can learn directly from the giants because it can be expressed through language.

For example, we learn math knowledge, physics knowledge, biology knowledge and so on in school.

Tacit knowledge: knowledge that cannot be expressed through language.

This part of the knowledge, because it can not be expressed through the language, so we can not learn from others, but only to go to the action in the sense.

For example, skills sports knowledge or all the knowledge that needs to be involved in the action, there will be part of the hidden knowledge, such as driving, guitar, marketing, management, emotional intelligence ......

For example, you will understand, if you have learned to drive, you will be very deep feeling.

When the coach taught us a step by step, all kinds of precautions and methods are told us one by one, but why we just can't learn it? Shouldn't we be able to do it once we understand it?

I remember when I learned to reverse parking, the coach was so hopeless that I practiced the whole day, and at the end of the day, the coach said in relief: "Okay, your painful day is over, my painful day is over."

That was my learning process, very painful and very slow.

Why is it so hard to learn to drive? Isn't it true that once the instructor teaches us what we know, we learn it right away and then drive straight to the test?

Why is it that after the coach teaches us the knowledge of driving, we still need a lot of time to practice in order to completely learn to drive?

Because driving is a skill, it involves movement, it involves action.

And all knowledge that involves movement and action necessarily involves tacit knowledge, which can't be expressed in words, so we can't learn it from other people, we can only experience it in action.

And there's no shortcut to tacit knowledge, you have to do it, and you have to do it in a lot of actions, and that's how you get to the point where you can learn about tacit knowledge.

Of course, smart people may learn faster, but the process of action is essential.

I've named this "learning tacit knowledge through action" approach dynamic learning, which, as the name suggests, is learning by doing.

Just like the learning of the "model tree", because it involves practice and action, there must be tacit knowledge, which I can't teach you at all, but you can only realize it by yourself.

This is the first thing I want to tell you: knowledge is divided into two categories - tacit knowledge and explicit knowledge.

A knowledge, insofar as it involves movement, involves action, necessarily contains tacit knowledge, so action is essential.

Action is essential!

Action is essential!

Action is essential!

It's important to say it three times, and I hope you must realize the necessity of action.

At the same time, here also remind, not read the book is useless, but read the book is only the first step, read the book can help you quickly grasp the explicit knowledge; but then also need the second step, that is, to go to the action of learning, to go to the action of the complementary implicit knowledge.

So, if you find yourself learning a lot of things and then still very good, please do not be anxious, because you have not acted.

After all this talk, what exactly is the relationship between cognition and action?

I think, regardless of our cultural level, probably have heard of the four words "knowledge and action", that is the first time I think about the relationship between cognition and action.

It felt like I was on the verge of reaching the truth, but I was overthinking it ......

Later, when I was listening to Wu Bofan's interpretation of the words "knowledge and action in unity," Wu Bofan said:

It's a thunderbolt from the heavens, and it turns out that we can't do it, in large part because we don't really do it. A large part of it is because we don't really know.

So how can we really know? What is the measure of true knowledge?

Liang Ning's explanation is very wonderful, Liang Ning said, we usually learn those "sets, frameworks, theories" are macro sets.

Is it important? Very important. If a person does not have a macro set, his knowledge system will be very chaotic, not systematic. And not systematic, it is difficult for this person to become a master.

But! But come on, just have a macro set is not enough, you must also have enough micro body sense .

What is micro body sense? Give an example and you'll understand.

Ever heard of the Japanese god of sushi? He's a man who valued the microcosmic body sense to the extreme.

He required his apprentices to spend the first ten years practicing only wringing towels and using knives, and only after ten years were they qualified to learn how to fry an egg.

You may think this is too much, ten years to learn how to wring a towel and use a knife, not even a simple thing like frying an egg.

The truth, however, is that it does take that long to practice.

In the documentary God of Sushi, the apprentice tells an interviewer, "I practiced frying eggs for a long time and thought I was fine, but I kept messing up when I was actually doing it."

In the end, the apprentice fried more than 200 eggs before finally making his first passable omelette, which was recognized by the God of Sushi.

You may be wondering how the god of sushi knew which egg was the right one, given the 200 eggs. How does the god of sushi know which egg is qualified? Can you really tell the difference between these 200 eggs?

This involves the microcosmic sense of the God of Sushi, who has spent 90 years feeling this, and although I can't eat it, the God of Sushi knows it when he sees it.

This is a kind of "microcosmic sense to the extreme" to have the ability.

This ability is not unique to Sushi no Kami, but is shared by master chefs from all walks of life.

Why is it that microcosmic senses are usually reserved for master chefs?

Because the essence of microcosmic sensing is tacit knowledge, which can't be learned from others, and can only be experienced through action. So the microcosmic sense is actually time and practice piled up, so the microcosmic sense is generally only available to the master.

And the knowledge we learned from others is only the macro-set, the relationship between macro-set and micro-sense, like the relationship between algorithms and big data, the algorithm is very rough at the beginning, so we need big data to improve the algorithm.

For example, driverless, it needs a lot of data to improve its self-driving algorithm. If there is too little data, its algorithm will be very retarded and it will be very prone to crashes.

At this point, the article is actually finished. But lately, one thing I've been feeling more and more is the power of action.

This power is so immensely powerful that I can't put it into words. But I'd like to try to express some of that explicit knowledge with my limited ability to express it.

That is: only action can bring about change.

No matter how many macro sets you have learned, you have to act, unless you are doing pure scientific work, like studying math, studying philosophy; if you are not doing this kind of work, then action will be your only way out.

Because action is where change begins.