Everybody Lies

Seth Stephens-Davidowitz's “Everybody Lies” provides a new perspective on how big data and anonymous internet searches can reveal hidden truths about human behaviour and thinking. The author uses modern technology and available data to explore topics that are often taboo or distorted in conventional polling. He focuses on issues that people would rarely admit to publicly - whether they are prejudices, personal desires, or psychological problems. This book offers a fascinating glimpse into the nooks and crannies of our society, showing how truths that would otherwise remain hidden are revealed in the online space. Through the book, readers will learn not only about the power and uses of big data, but also about the ethical issues surrounding this phenomenon.

Big data is revealing the truth about people in ways that were unimaginable until recently. Our traditional methods of gathering data about society, such as surveys or questionnaires, have often proved inadequate and distorted. People tend to modify their answers to suit expectations or to make themselves appear in a better light. Anonymous Internet searches, however, know no censorship and reveal real desires, fears and prejudices. Take the example of racial prejudice in the USA. While public polls show improvements in people's tolerance and mindset on the race issue, Google searches suggest otherwise. The anonymity of the internet reveals that despite progress and a more open society, many still turn to the internet with searches full of negative and stereotypical views. Big data thus reveals a reality that would otherwise remain hidden behind polite answers and public self-censorship. People are also often ashamed of their shortcomings or personal problems and so avoid them in interviews or surveys. For example, questions about depression, anxiety or addictions often go unanswered or are answered falsely. However, on the Internet, advice and information about mental health problems is sought anonymously with much greater openness. This phenomenon makes it possible to obtain data on the mental health of the population more accurately than ever before. Moreover, the Internet reveals our enormous curiosity. In terms of big data, it has been found that people often seek information on topics that they would not normally dare to talk about even with those closest to them. For example, during the 2008 financial crisis, searches for phrases like "job loss" or "bankruptcy" skyrocketed. This shows not only the vulnerability of individuals, but also the deep need for help and information. In the same way, internet data can point to popular trends and changing moods in society. Just think back to the period of the COVID-19 pandemic. While the world was closing in and people were staying at home, searches for phrases such as "how to bake bread" or "home exercise plan" reached record numbers. This data offered a unique insight into the inner workings of society, while also documenting how people were adapting to new conditions. Such "raw" data is a valuable source of knowledge about our society. They reveal the truth about who we really are - with our prejudices, fears and hopes. Big data is therefore changing the way we view ourselves as a society, offering a picture that is often deeper and more honest than any traditional survey.

The anonymity of the internet reveals aspects of human nature that are usually not spoken about out loud in society. It is the searches that people make on Google that reveal much about their real opinions, prejudices and fears. This data offers a raw and unedited picture that reveals inequalities, persistent stereotypes or social tensions. Big data thus paints a surprisingly accurate picture that often does not reflect common beliefs about progress and tolerance. One example is the racial equality gap. While the public discourse is changing, and the topic of racism is receiving attention, searches reveal a different truth. While in questionnaires most respondents would claim to have no problem with racial minorities, anonymous data reveals that many still harbor negative attitudes. It turns out that many stereotypes and hidden fears are more deeply rooted than they would appear at first glance. Similarly, the data also reveal prejudices against gender, religion or sexual orientation. For example, analysis of internet searches shows that there are differences in expectations and evaluations of men and women in different professions. Even though we publicly espouse the values of equality, many people still seek information based on prejudices or old social norms. Big data also reveals the fears and frustrations that hide behind politeness in everyday communication. When it comes to issues of migration or religious minorities, the anonymity of the internet is a safe space where people are not afraid to reveal their true feelings. It is fascinating to see how quickly and intensely these issues resonate in society at times of crisis or social conflict. The Internet thus creates a mirror that shows who we really are, without filters or pretence. However, it is important to remember that it is not just about individuals, but about society as a whole. This data can reveal patterns and trends that are otherwise imperceptible. Anonymous searches are a revolutionary way to get a picture of society. They are not limited by social conventions or concerns about public opinion. Such data can be crucial in exploring and understanding the hidden dynamics that drive human behaviour and influence everyday life.

People have a natural tendency to present themselves better than they really are, whether to others or to themselves. This phenomenon, known as self-deception, is one of the reasons why traditional surveys are often inaccurate. When asked about their healthy lifestyle, exercise or habits, many respondents answer in a way that paints them in a better light. When asked about exercise, they may exaggerate the frequency with which they participate in sports or embellish when answering about how many fruits and vegetables they consume daily. On the other hand, anonymous Internet data offer a different story. Data on people's real behaviour, such as Google searches, show that things are not as rosy with those "healthy habits" as people present it in surveys. Search trends reveal that they often search for fast food, calorie-dense meals or diet tips that they wouldn't ordinarily think of as part of an ideal lifestyle. In fact, the internet is where people turn to with their real problems and doubts. For example, during the New Year, when many people make resolutions to lose weight or start exercising, surveys and social media are filled with plans for change. However, internet searches reveal that many people are also searching for ways to "fool" weight loss, quick diets or advice on how to exercise as little as possible but get visible results. This contrast between public presentation and actual behavior reveals a deep-seated paradox. Self-deception also manifests itself in issues such as financial planning or spending. Many claim to be financially responsible, but search data reveal that they spend their time looking for quick loans or information on repayment schedules. While surveys may paint a picture of an economically responsible society, big data reveals that in reality, many are struggling with debt and financial problems. This duplicity is a human trait - we present ourselves as better than we really are. But big data helps us see people's real behavior without their embellishing filters. They therefore allow us not only to understand human behaviour more accurately, but also to better analyse society's needs and create solutions that match real life, not just the perceptions we want to create about ourselves.

One of the biggest benefits of big data is its ability to predict future events based on real human behaviour. Traditional predictions are often based on historical trends or opinion polls, which have their limitations. However, internet data gives us access to up-to-date information directly from people who don't hesitate to seek advice and answers to their concerns, needs and desires. This provides a new way to predict, for example, political preferences, economic changes or the spread of disease. Take seasonal flu waves, for example. Based on data on Internet searches for symptoms such as 'sore throat' or 'fever', it is possible to predict a rise in flu cases before they are reported by health facilities. Such an approach helps health professionals to better plan vaccine and medicine supplies and strengthen hospital preparedness. Similarly, in politics and economics, trends that would otherwise be invisible can be predicted from web data. For example, prior to the 2016 US presidential election, it became clear that traditional polls failed to fully capture support for Donald Trump. On the contrary, internet searches and social media activity pointed to a hidden trend that ultimately influenced the outcome of the election. This data can reveal where polls are failing and allow us to better capture voter sentiment. In the economy, searches related to words such as "layoffs" or "resume" can signal upcoming problems in the job market. For example, during the 2008 financial crisis, searches for such terms were increasing several months before massive layoffs occurred. Economic experts could therefore use this data to identify problem sectors early on and suggest support for at-risk workers. Big data also allows us to better understand how people react to events and how their interests or concerns evolve. In natural disasters such as earthquakes or floods, we can observe how people seek information about safety measures, which can help distribute important instructions in a timely manner and ensure a rapid response to a crisis situation. The possibilities for prediction based on big data are almost endless and are increasingly being used in a variety of fields. This approach benefits society by helping to anticipate and address problems before they become fully manifest. What we learn from these predictions can contribute to more effective solutions to problems that today seem opaque and complex.

Human nature leads us to be curious, but societal norms often limit what we consider acceptable to discuss publicly. The internet, especially with its anonymity, opens up space for questions and topics that we would otherwise leave unspoken. When people are alone behind a screen, their searches reveal a fascination with forbidden or taboo areas - whether these are topics related to health, personal desires, mental health issues or other hidden interests. For example, searches related to sexuality are among the most common, but they are also topics that many would never talk about openly. However, this data shows that human curiosity knows no boundaries and that questions that might seem too personal or sensitive are in fact common. They also reveal a lot of unprocessed questions and doubts that people struggle with. The Internet thus serves as a safe place for people to address their hidden desires and fears. There is also a huge interest in health topics that many would not normally want to discuss even with their doctor. Whether it is mental health, various disorders, or even concerns about serious illnesses, for example, searches reveal a deep fear and need for information. During the COVID-19 pandemic, we saw an increase in searches related to anxiety, depression and loneliness, showing how strongly these topics affect us when we face uncertainty and isolation. Also of interest are questions about social norms and the boundaries of the law. People often seek information about what is 'legal' or 'illegal', suggesting a fascination with boundary crossing and a curiosity about what might happen 'if'. This aspect of the human psyche speaks to an inner tension between the desire to follow the rules and a hidden fascination with the forbidden. Thus, big data not only reveals taboo topics, but also allows us to better understand internal conflicts that often remain hidden from the public light. They show that what we consider taboo or inappropriate is also a source of curiosity and concern for many people. These insights can be used to overcome prejudices and create a safer environment to address the real issues that trouble individuals.

For many, the internet is a refuge where they seek answers to questions they might never have spoken out loud. This anonymous sphere reveals hidden fears and anxieties that people carry within themselves but do not normally admit to those closest to them. It is in this search data that a lot of information is hidden about what troubles people and how they experience their inner struggles. Big data can thus be a kind of window into the soul of society, revealing what normally remains hidden. People often seek information on topics such as mental health, stress or loneliness. For example, during the lockdowns and quarantine measures during the COVID-19 pandemic, there was a surge of interest in topics related to anxiety and depression. Searches such as 'how to get rid of anxiety' or 'how to overcome depression' reached record numbers, indicating that people were more likely to face mental health problems and seek relief online during the crisis. However, this interest in mental health is not unique to times of crisis. Various studies from search data show that mental health concerns are ever-present. Many are seeking answers to questions about self-worth, the meaning of life, or how to cope with everyday stress. Often these are people who are unwilling or unable to seek professional help, and the internet is the only place for them to find answers. Another interesting phenomenon is the increased interest in advice on relationships and family life. People search for topics such as 'how to save a marriage' or 'problems with parents', which indicates deep family problems that often remain unspoken. These data suggest that family and partner relationships are a source of anxiety and frustration for many, but they are also afraid to talk about these issues directly. Big data thus provides a unique insight into a person's inner world, where anonymous searches serve as a form of escapism or an attempt to find a solution. For psychologists, social scientists or public administration, these data present an opportunity to better understand what problems plague society and what interventions could help improve mental health and overall well-being. These revealed concerns remind us that beneath the surface of public speaking lies a deep desire to address personal problems. The hidden concerns that big data reveals have the potential to shape new ways of support and open up space to address issues that have hitherto remained quiet.

As the amount of data we collect and analyse grows, important questions about ethics and accountability arise. Working with big data offers countless opportunities to improve society - from disease prediction to more precisely targeted marketing campaigns. But it also opens up a host of risks. How can we use this data responsibly, without compromising the privacy of individuals? And who should have access to this data? One of the main issues is the question of consent. Many people do not realise the vast amount of data that is being recorded and analysed about their behaviour. Every click, search or movement on the internet can be recorded and used for predictions and marketing. This kind of analysis can bring significant benefits, but it can also be misused to manipulate or track individuals. The concept of 'digital privacy' is thus becoming increasingly complicated, as big data companies often have access to information that goes beyond the normal boundaries of privacy. Another ethical question mark is how to use data to predict behaviour, especially when sensitive topics such as mental health, crime or personal financial issues are involved. It may be tempting to use data to profile people who are more prone to certain types of behaviour, but such an approach could lead to stigmatisation and unfair treatment. For example, if an algorithm labels a certain group of people as 'at risk' based on predictions alone, this could have undesirable consequences, including discrimination and unfair decisions. There are also questions about accountability. Who is responsible for protecting this data? Data leaks are a common problem, and if sensitive information falls into the wrong hands, it can seriously harm individuals. It is therefore crucial that companies and organisations take a responsible approach to data protection and ensure that information is handled in accordance with ethical and legal standards. Last but not least, it raises the question of whether it is right to use big data to make mass decisions about society. Can algorithms really replace human judgement? Although data can offer enormous opportunities to improve decision-making processes, sometimes it is necessary to maintain human empathy and sensitivity, which algorithms cannot understand. Decisions that impact people's lives should therefore be managed with respect for individual rights and needs. The future of big data depends on how we can strike a balance between technological progress and ethics. This is a challenge that requires the attention not only of experts, but also of the wider public. Only in this way can we make big data serve as a tool for improving the quality of life, while respecting individual privacy and rights.

Every lies brings us to a deep reflection on who we really are when no one is looking. Through anonymous data, the author uncovers aspects of human behavior and reveals that we often hide our true desires, fears, and prejudices from ourselves and others. Big data not only allows us to predict trends and understand social moods, but also raises questions about ethics and privacy that are increasingly important in the digital world. Stephens-Davidowitz thus holds up a mirror to modern society and offers guidance on how to use data properly to improve quality of life without violating individuals' trust. The book invites us to think about how we can use technology for the benefit of society as a whole, while not forgetting the values and privacy we want to protect. Do you have feedback for us? We'd love it if you let us know your opinion on our content! Just send an email to feedback@rewio.app with the title of this book in the subject line and share your impressions!