You Are What You Read
How do you evaluate the caliber of the material? Here are two ways I’m using.
In computers, the phrase “rubbish in, rubbish out” refers to the fact that if the input data is garbage, the outcome will be no better.
Typically, the average person deals with unknowingly reading a storytelling tweet to the conclusion and reacting violently, saying, “That’s right, I’m like that! blabza…”
Alternatively, when reading a dull article, your mind freezes, and you cannot get through it. Many folks often encounter “spam.”
Before looking for supposedly “high-quality information,” the typical person should specify what they mean by “high-quality information.”
This leads to a particular inquiry: how does one assess the accuracy of material?
I always follow these two techniques: the most recent or the most classic. I’ll forward these to you.
The Most Classic
There are classics in all fields. You cannot truly enter a field if you miss these works.
For example:
Unless you know Sherlock Holmes, you cannot be a true fan of speculative fiction.
You cannot be a true science fiction fan without knowing Dune.
The titles of these masterpieces are easy to find, but do you have the time and patience to read them?
I don’t believe so for most people. Therefore, you should look for interpretations of the classics, including in-depth readings of works like Monarchism and Marketing Management, whether through tweets, audios, or other media.
Choosing a format depends on how easily and conveniently you can learn about the classics.
The Most Recent
Having been a venture capitalist myself, I understand how important “critical” information is for making investment decisions. Information on some markets is not always available.
You cannot assert that market information is useless. Still, the proof that it is helpful usually seems “vague.”
This is the attitude associated with “the latest information”: you are unsure whether it will remain relevant.
How, then, can one locate the most worthwhile material in the “uncertain new information”?
I would like to illustrate the variations in real returns before and after the investment.
Alternatively, review the tested observations and studies of seasoned investors in various sectors.
