I have broken my laptop. I am currently waiting for a new one.
I am sorry for the inconvenience.
-TT
The World is on the brink of changes. Read this blog to understand the most important laws of nature that remain the same. Learn the wisdom of the greatest minds in history like Charles Darwin and Isaac Newton and apply them to today.
Monday, November 27, 2017
Tuesday, November 14, 2017
Decision making systems
Definitions
You can define
decision-making systems as ”A set of principles or procedures for
the action or process of making a resolution or conclusion.” You can
also define them as ”A set of principles or procedures for the
thought process of selecting a logical choice from the available
options.”
Human decision making systems
I will only
concentrate on the individual´s point of view in human decision
making systems in this text. There is no reason why you shouldn´t use
any other tools than your brains while making the decisions. For
making things easier, you should separate your own decision making
systems into two parts: Intuitive and Rational systems. These systems
really work together and both of them are always on, but it is easier
to think them as separate systems. Intuitive system works faster and
rational system slower.
Examples
You see a flying
object getting closer to us and you decide to dodge it or you see a
beautiful lady watching you and decide to talk to her. Your intuitive
systems is working. You are thinking about bying a car and you first
look for the information about different cars and then make a
decision to buy one of them. Now your rational system is working.
Intuitive system
This system is
based on emotion and impulse. It represents your wants, impulses and
gut instincts. It is always on, but your rational system sometimes
overrides it. Intuitive system makes the decisions when you are tired
and unable to think rationally. It works fast and most of the time you don´t even notice it. Fast response was thousands of years ago a
requirement for survival. This system also saves lots of energy.
Without it, we couldn´t get many things done. Most of the decisions
are made by this system. It influences how you see the world around
us: recognizing objects, deciding where you keep your attention,
helping you avoid losses, and decides how to react in dangerous
situations.
It also has some
learned associations and biases. It sees some clues from the
environment and makes predictable errors because of them. For
example, when choosing a restaurant to eat, you tend to follow the crowd without noticing and choose the place to eat with the longest
queues. When this system cannot decide, it asks rational system to
take control. When the rational system is busy or exhausted, it has
more power in our behaviour.
Rational system
Rational system is
normally in the background while intuitive system is working. This
system thinks it is the decision maker, but most often time, it is
just monitoring your actions. You need this system to make decisions in
complex situations or making complex calculations like deciding
whether you should change a job or not or think about how much you should pay for an apartment. This system is always monitoring you. And
it is working only when needed. It normally has the last word, but it gets exhausted. It normally controls your willpower, but
when it is exhausted, your intuitive system takes control and you cannot think and make decisions rationally. This normally happens
when you have made many decisions during the day or haven´t slept
enough. Sleeping enough and keeping your blood glucose level stable
helps you to make rational decisions.
Systems working together
These systems work
together. Most often, your intuitive system makes the decisions.
It also creates impressions and feelings for the rational system.
They are the main sources for the explicit beliefs and deliberate
choices of the rational system. Only the rational system can change
how your intuitive system works. You need to rewire your brain to make
changes by programming the automatic and intuitive functions of
attention and memory. This cannot be achieved without the rational
system. You need to have a lot of conscious effort to change yourself. Changing your habits, improving your skills, and many other
things cannot be done without lots of repetition. Your conscious
system is in power until you have repeated the action hundreds or
thousands of times. You need your rational system to teach your intuitive
system work better. You have your paths of least resistance. Which is
normally the intuitive system. You get better results and better
skills, when your intuitive systems works better. This is the result
of your rational system working better.
You need to use
both of our systems to achieve a skill level of an expert. Without
enough repetitive conscious thoughts or actions you cannot achieve a
level where you can use your intuitive system to react whatever the
impulses it receives from the environment. For example, a chess
master has thought about some positions on the board in advance or
played similar games to find a best possible next move. Then he can
intuitively make a decision without using any time to think. Thus, it
saves a limited time to complete the game. In most of the physical
actions, the speed is one thing that separates an expert from a
novice. The other is the quality of the actions. You cannot have
better quality of actions without having better mental models learned
through rational thinking. When you combine the fast speed and the
quality high quality of physical actions you get real expertise.
Sources:
Thinking Fast and Slow, Daniel Kahneman
Peak, Anders Ericsson
Predictably Irrational, Dan Ariely
Sources:
Thinking Fast and Slow, Daniel Kahneman
Peak, Anders Ericsson
Predictably Irrational, Dan Ariely
Until next week,
-TT
Tuesday, November 7, 2017
Systems
Definitions
System is defined
as: ”A set of things working together as parts of a mechanism or an
interconnecting network; a complex whole or ”A set of principles or
procedures according to which something is done; an organized scheme
or method.
Examples
Universe is a
system. Our bodies, habits and skills are systems. Most of the things
we do are systems. Some systems are consisted on smaller subsystems
like our bodies have skin, organs, etc. Latticework of mental models
is an example of a thinking system.
Self-reinforcing and
self-stabilizing systems and delays
Universe is always
expanding. The interest on interest compounds the debt. In
self-reinforcing systems, the previous outputs of the systems change
the inputs coming into the systems and amplify the outputs coming out
of the system. What happens is that eventually self-reinforcing
system gets to the point where the amplifying destroys the whole
system. The other possibility is that the limit of growth comes to
the point where the growth stops, slows, diverts or reverses. When
this happens, the system becomes self-stabilizing.
In
self-stabilizing systems the previous outputs of the systems changes
the inputs by stopping, slowing, diverting or reversing the growth of
the outputs. This self-correction keeps the system working without
exploding. Every natural system has an optimal growth rate. We should
use them into our advantage. Our skin keeps the temperature of our
body from overheating by sweating if we are in an environment in
which the temperature is too high or we are exercising. It can be
hard to notice these balancing processes, even though they are mostly
necessary. We should keep the self-reinforcing and self-stabilizing
systems and their interaction in balance. We should always limit the
effect of self-stabilizing processes on self-reinforcing processes in
balance.
All the systems
have delays. People have a natural tendency in concentrating on the
consequences we see right after we have done something. The second
and third order consequences may come after a long delay. In complex
systems, consequences can come after years. We may concentrate on the
symptoms, rather than the solutions because of delays. Some system
structures have unrecognized delays and they can lead wrong
solutions. We should have better awareness about the delays. And we
should also remember that causes and effects are not always close in
time. When we notice a delay, we should try to shorten it as much as
possible.
Small changes in systems can create
big results
This happens in
individual circumstances as well as in systems. Well-focused small
actions aimed for changing the system can create surprisingly big
results. Solving a difficult problem can be a matter of finding the
system structure in which the small change deliver the big and
lasting results. Most of the times, finding these structures is hard.
We need to understand the system and how its parts interact with each
other. Otherwise we will never find the right structures for these
high leverage improvements. We cannot do this without understanding
the system as a whole.
Reacting to the
change in the system is a lot easier than truly understanding its
cause-effect relationships and ways to improve it with small changes.
Reacting to the change can be a bad thing. It may cause small changes
to the system structure creating bigger problems through
self-reinforcing processes. Changing a system structure can have
different consequences in the short run and in the long run.
Different parts of the systems can also have different consequences
caused by the small changes. We also have to think about interactions
of the parts before changing anything in one part of the system.
Most of the results in your life
depend on the quality of your systems
We are mostly
focusing on the different parts of our systems in a particular moment
without thinking about the system as a whole or any long-term
consequences. Our systems can deliver results that exceed the sums of
their parts by a large margin. They can also deliver results that are
not even close to the sums of their parts. People using the same
systems tend to produce similar results. When we do not change our
systems we cannot expect different results. Most of the time, the
results we get are not caused by other people, some particular
conditions, bad luck or some other explanations. The reason for bad
results are the systems or their implementation or our understanding
of them. We should think a lot more about the quality of our systems
or their subsystems. Then we can get better results. We cannot really
improve ourselves without improving our systems.
-TT
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