This time we will not go into the cosmic jungle and scientific theories, we will study a little how a person uses the laws of time, as well as assess situations in which time plays the most significant role in order to find simple and understandable ways to control the outcome, relative to the spent on his achievement time.
We learn to communicate through work with time. The most favorable and most realistic outcomes are those that determine your capabilities and abilities set within a certain time frame. In other words, you do not decide when something will coincide or become available to you, but how you use the laws of time.
Let's take a look at all this from the outside.
Here you are in a parking lot. You are waiting for your friend's car, but there is no place for a pedestrian in this parking lot.
Problem. Because the parking lot is active, cars will constantly enter it, and cars will constantly leave it. All this sum will cause you discomfort, because you will not be able to stand in 1st place for a long time. And this only means that you must render in a specific place, at a specific time, so that circumstances do not move you. Doesn't sound difficult right.
If you start over, and see the arrival of cars that enter the parking lot and line up in order, you can easily stand at the end of the queue, thereby ensuring yourself the ultimate conditions for stability, independence from time.
But a person often finds himself outside the account, that is, he falls into the middle of an already running process. Some cars are already waiting for the owner, some cars are already about to leave the parking lot, while others, on the contrary, are preparing to enter it.
Thus, we are not able to determine the ideal conditions for ourselves, a place where we could just stand up in anticipation of the desired car.
However, we can always stand next to the last car on the list. Because by the time the owner returns to it, many other cars have already been rotated, replaced by new cars, or free up parking space.
But we also understand that at best we are given 1 hour to choose a new place to move to, so as not to interfere with the flow of cars moving around the parking lot. We know the approximate interval for which we will have to adjust, this is 60 minutes. In 60 minutes we have to track the next safe area close to us.
Of course, this simulation seems far-fetched at first glance. Think about it in the parking lot, think about interfering. And what if for every time you interfere, you will be fined. A kind of dystopia world. Hypothetically.
In this case, it is very important to be able to correctly predict each step out of the next 10. To see 5 steps ahead, and not to share hasty conclusions about what is happening.
What if we complicate the conditions a little. We need to make a maximum of 100 moves, and 100 times be where, with an 80% probability, our friend, whom we are waiting for, will be. For what? To be able to work with chess, the matrix.
Imagine that each free parking lot is a matrix variable.
If it is filled in in a certain strict order, then we can easily determine the 100th step, and we will know where to stand in order to be in the same place where our friend will be. We know that he will not be able to drive up to where the car is already parked.
This simplifies everything. But the problem is that we find ourselves in the middle of a half-filled matrix, where the order is formed by 2-3 sorting systems.
We can only roughly estimate the conditions in which we found ourselves, based on what changes in the matrix over the next 60 minutes. From this, select the outcome that is most likely to suit both us and our friend.
At the same time, let me remind you that you need to choose places where we are faced with the least resistance in relation to other changeable elements of the parking lot.
Complicated. But interesting.
The matrix is always solved diagonally. This means that if we find ourselves in any complicated conditions, we need to understand which element will form a diagonal; if we find ourselves within this diagonal, we will find ourselves 80% of the chances close to the final solution.
Let's imagine how time works for us and against us.
You are walking down the street and looking for a quiet area to answer SMS.
But the further you go, the more likely you are to be distracted.
Just as if you were walking past the entrances with the fear that someone will suddenly open the door, creating a collision with you. It works on the same principle.
The further you are from the beginning of the time line, the higher the chance of creating a conflict situation in the system.
But in order not to cause a collision, you need to choose the right moment in time when you are on the border, or on the same diagonal.
For example, having seen that the car in front of you just got into the parking lot, you also know that this place will not bother you if the owner of the car goes on business.
But we do not forget about pedestrians, who are also able to interfere, introducing their own conditions into the system.
So that's it. The forecast is determined by how far we have moved from the beginning of the process.
How much time has passed in terms of line segments and distance from the origin.
The further we are from the beginning, the more difficult it is to find a safe condition, the closer we are to the end, the end, the easier it is to determine a positive outcome. By looking at the variables that have been the least affected.
But. In the end, we can no longer influence any system, so we need to be able to work with a forecast.
How, on the basis of this, will learn to manage time.
If we represent time only by distance, then we can divide the time into equal segments, and the step (which we will take) will represent the moment of starting and stopping the process. For example, we need to go to the kitchen and put the kettle on.
The launch of the kettle will mean the beginning of the programmed process. But besides this, there is also a certain path that defines the beginning. This path must be passed.
But we can imagine ourselves halfway to the kitchen, and evaluate all the factors affecting the possibility of continuation, the beginning of the next step. Once we find ourselves in the corridor leading to the kitchen, we will not put the teapot on, we are only in a state of preparation, assessing the further distance to the target. We only know that we have passed 50% of the way, but this does not mean that the task itself has been completed.
Because the task starts when the entire distance has been passed, and it ends in the same way, under the same conditions. And it is impossible to walk the distance at once, because it is determined by the segments that determine your steps.
This will allow you to study time in terms of distance, not minutes.
And it is easier for us to apply the distance to the matrix field, to evaluate it from the outside so as to come or determine the most beneficial outcome for ourselves.
But the path, as well as the matrices, will constantly be influenced by randomly occurring factors.
Therefore, it is important to be on a diagonal from which you can see more than if you took a few steps and immediately jumped to the task itself.
The ideal would be to start over from step 0, but alas, everything in the world started without us, we always find ourselves in the middle of the process. Even so, we can learn to predict the chess match that will determine the outcome in our favor.
There are always several outcomes in the matrix. The most favorable is when it is possible, due to all variables, to calculate any of the nearest variables. But there is a matrix of an indefinite form, when each element is formed by its own condition, and cannot form new predictable elements, then we ourselves determine the conditions that will become closest to us.
For instance. You are next to a restaurant, but since there are limited seats, you can queue up and while you wait, do a couple of laps by car. But you are hungry. The matrix solution will be to get to the restaurant, but the most affordable solution will be any other catering place that you come across along the way and will have more affordable conditions.