Due to the lack of information sources or some kind of subjective consciousness, we are easy to fall into information deviation, and then affect the current decision-making. However, we may be able to feel the existence of information bias, but we may not know how this information bias comes into being.

Entropy can also be used to describe some unknown areas of knowledge. if these areas are subdivided, they can be divided into comfort zone, learning area and panic area. As everyone has their own cognitive layer, they always give priority to seeing the information within their comfort zone, and are accustomed to using their own comfort zone cognition to understand the information of non-comfort zone.

In fact, to understand high-entropy knowledge, the cost is very high, if we do not often sort out our cognition, then our cognition will not be improved, and finally can only be corrupted, into the maximum entropy of disorder. When the entropy increase of a person's cognitive model has been very large, it will naturally be misled by its cognitive model, thus affecting the extraction of information and forming information deviation.

The media always only care about those hot news that attract attention, and even exaggerate some news. In the book Facts, the author introduces a case in which a polar bear kills a hunter and gets a lot of media coverage, while in another domestic violence, a woman is killed by her ex-husband with an axe but never gets media reports. In Sweden, bears are rarely seen in a century, while deaths caused by domestic violence occur almost every once in a while, a gap of 1300 times. So the bear is big news, but domestic violence is not.

In modern society, due to the application of the Internet and the development of social media, this phenomenon is even more profound, because some commercial websites provide website materials of a similar nature according to the records of search results. In social media, people use social objects as sources of information. When they choose the source of information, they also filter the information. In addition, social media has strengthened the differentiation of people to some extent. Due to the influence of social circles and their own positions and attitudes, people often cling to the circle of information and opinions in line with their preferences, and all kinds of circles are isolated or even opposed to each other.

Big data is a great invention in recent years. Internet platform enterprises have realized the aggregation of large amounts of data through various data collection tools, and formed one "data lake", "data warehouse" and "data Mart" one after another.

Among these strange and familiar concepts, each individual has long lost its own unique edges and corners, and has been abstractly modeled as a monotonous and meaningless statistical sample, and with the help of the recommendation algorithm, each user no longer has real perceptual attributes and becomes a cold input tool.

Whenever we open some intelligent platform applications with recommendation algorithms, the platform applications can always capture some operations that we trigger intentionally or unintentionally, and recommend us information that seems to meet our "subconscious" needs.

Admittedly, sometimes we, who are immersed in the ocean of information, are plagued by a flood of all kinds of information every day, and the huge amount of information will make us lose our course. The recommendation algorithm embedded in the platform enables us to obtain more direct information with faster efficiency. It benefits us a lot, but the algorithm can only be mindless based on our past search history, filter out information that is different from our views or we don't like, and provide what we want to see. As a result, people's cognitive isolation is caused, and we fall into the "filter bubble".

Due to the rapid development of technology, developers always have to refresh the technology from time to time, and they will naturally be attracted by hot new technologies.

Of course, sometimes the use of certain technologies can solve some of our pain points, but not always, depending on the actual application scenario. If developers understand their environment only based on limited access to information and blindly focus on hot technologies, they may have fallen into "cargo worship" (or "cargo worship").

We may need to control our beliefs and conclusions more rationally, and use more scientific methods such as critical thinking, induction, numbers, etc., to choose technology with a realistic attitude and focus more energy on the realization of our own value.