Everybody Lies is the work of Stephen Davidowitz and is from the collection of Wisdom and Life of Publishing. The purpose of the collection of wisdom and life is to simplify philosophy and invite to think about the meaning of life for all human beings.
Stephens Davidowitz is a Big Data expert with a degree in philosophy and economics from Stanford and Harvard. Everyone lies that this is Davidowitz’s first book, and in the year and a half since its publication, the author has gained a great deal of fame.
The main point of this book is this sentence:
“We lie to everyone except Google Search.” In this book, Davidowitz talks about the mass of information that large companies, especially Google, collect from the Big Data and their application in sociological and psychological studies and the identification of behaviors and habits of different societies.
In this work, he points to an interesting topic, and that is that we may not say anything to our partner about a topic that has occupied our minds, such as a nightmare, but we will definitely go to Google to see what our pain might be a sign of. Be something.
We may not be honest with those around us, but we can not hide anything from Google, so Google becomes a huge repository of human behavioral data that can be used in large scientific analyzes in various fields.
In this book, to prove his point, the author brings various and interesting examples, stories and examples that will be interesting to hear and read for everyone, especially regular Internet users.
To whom do we recommend reading the book Everybody Lies?
All internet users and cyberspace users, especially those who want to find the smallest information of their lives through Google search engine, read this book.
Sentences from the book all lie
On the night of Obama’s victory, when everyone was praising him and talking about the historic face of this election, almost one in every 100 Google searches included the word “Obama”, one containing “KKK” or “Kakasiah”.
That may not seem like a big deal to you, but for a thousand other non-racist reasons, just looking for the name of this newcomer and his loving family, think that he was going to take the helm of the most powerful country in the world.
On election night, the search for the address of Stormfront, a popular extremist nationalist site in the United States, was more than ten times as many as it used to be.
Also in some states the number of searches for the “black president” was higher than the number of searches for the “first black president”.
There was destruction and hatred in America that was hidden from the eyes of traditional sources and now showed its face in the search of the people.
If everyone is lying, then who is telling the truth? What people say about themselves, their income, their beliefs and their social orientation is a bit of a lie.
Most people exaggerate the truth in answering face-to-face questions and polls. But they only tell the truth in one situation, and that is when they are alone with the Internet and Google.
Users add a lot of information to the Internet every day.
Google uses this information properly due to the large amount of information and data. Big data has led to the emergence of a new science called “data science”.
Experts in this field are those who, with the help of algorithms, extract the pure truth from the heart of big data and state the facts.
The book “Everybody Lies” consists of 3 chapters and 8 different sections.
Seth Stephens, a big data expert and author of this book, talks about the importance of big data and the need to use it.
He describes the applications of data science in different sections of society and explains each with real examples.
One of the features of this book is expressing the tangible facts and problems of the society.
A reference to the existing realities that are hidden from the eyes of the people of the society can turn this fascinating book into a sad and disappointing book.
In this regard, we can refer to the real statistics of domestic abortion, racism and child abuse.
Why do people lie?
Social utility bias is one of the reasons why people lie.
Because people try to impress others by telling seemingly small and insignificant lies. This is true even of anonymous and face-to-face questionnaires and surveys.
The desire for social acceptance causes people to lie about salaries, college grades, charitable activities, participation in elections, and drug use.
The tendency of people to create a perfect image of themselves and gain acceptance from friends, business partners and even researchers causes the study of their behavior and thoughts to be erroneous and provides incorrect information to relevant institutions.
Discover the truth with big data
Big data is important in several ways. First of all, big data is never a lie.
Because this information is collected by uncensored behavior and the realities of life of people in society.
This is doubly important in examining sensitive issues such as political orientations and sociological analyzes.
The second component that makes big data important is the speed with which facts are analyzed and revealed.
In this regard, we can point to the tendency of racism in some US states.
In his book, Stephenson cites the 2004 US election as an example. Most people think that North and South America is the border of racism, but according to big data analysis, this border belongs to the eastern and western parts of the United States.
He also concludes by examining racist jokes that Obama has lost a lot of votes just because of his skin color.
Obama’s election victory marginalizes this issue. But the racist approach played a significant role in Trump’s victory in 2016.
Data analysts believe that racist jokes and content are being searched more in some parts of the United States than in others.
These results have a significant relationship with the skin color of the residents and the results of the election and Trump’s victory.
Another feature of big data is the focus on a specific part of the very, very large amount of information available.
In this regard, the author has raised the issue of Islamophobia.
Analyzing people’s sources in this regard, data scientists found that by focusing on new information and stimulating people’s curiosity, the issue can be examined from a new angle.
In one of his speeches, instead of making stereotypical remarks about Muslims and Islamophobia, Obama used only the phrase “Muslim athletes and soldiers,” which increased the positive and effective search for the issue.
Big data makes it very easy to perform cause and effect tests.
In the past, this type of test, known as A / B testing, required a lot of time and money.
Now, using big data, a lot of information can be extracted from these tests and user behavior can be analyzed.
One of the downsides of using big data is the variety of variables involved. Increasing random patterns leads to erroneous analysis of information and scientists make mistakes in presenting results.
The use of big data has brought many benefits to society. But there is also the possibility of misuse of this information by institutions and institutions. Abuse of public privacy is one of the concerns of scientists.
Everyone lies about the author of the book: Seth Stephens, Google data scientist
Seth Stephens, an American data expert, was born on September 15, 1982.
He studied philosophy at Stanford University and earned his Ph.D. in economics in 2013 from Harvard University.
Seth Sfans has worked as a data expert at Google.
“Everybody Lies” is his first book, which is the result of his experience at Google.
This book brought him a lot of fame. He is currently working for the New York Times.
Part of the text of the book, everyone is lying
People lie about the number of drinks they drink on the way home;
They are related to the number of times they go to the club.
The price of their new shoes and that they have read a certain book. They are lying.
They falsely take sick leave and say they will be in touch while they will not be.
They say that their concern is not your behavior while it is.
They say they love you when they do not.
They say they are happy when they are sad. They say they are interested in women while they are interested in men.
People lie to their friends. They lie to their boss. Children are lied to.
They lie to their parents. They lie to doctors.
They lie to their spouse. People lie to themselves. And there is no doubt that polls also lie.
2- Introducing the book in Aparat