“The next Freud will be a data scientist. The next Marx will be a data scientist. The next Salk might very well be a data scientist.”
―
Seth Stephens-Davidowitz,
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“I sometimes suspect that inside every data scientist is a kid trying to figure out why his childhood dreams didn't come true.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“Netflix learned a similar lesson early on in its life cycle: don’t trust what people tell you; trust what they do.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“Silver noticed that the areas where Trump performed best made for an odd map. Trump performed well in parts of the Northeast and industrial Midwest, as well as the South. He performed notably worse out West. Silver looked for variables to try to explain this map. Was it unemployment? Was it religion? Was it gun ownership? Was it rates of immigration? Was it opposition to Obama? Silver found that the single factor that best correlated with Donald Trump’s support in the Republican primaries was that measure I had discovered four years earlier. Areas that supported Trump in the largest numbers were those that made the most Google searches for “nigger.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“I am now convinced that Google searches are the most important dataset ever collected on the human psyche. This” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“If you can't understand a study, the problem is with the study, not with you.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“Facebook is digital brag-to-my-friends-about-how-good-my-life-is serum. In Facebook world, the average adult seems to be happily married, vacationing in the Caribbean, and perusing the Atlantic. In the real world, a lot of people are angry, on supermarket checkout lines, peeking at the National Enquirer, ignoring the phone calls from their spouse, whom they haven’t slept with in years.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“People frequently lie—to themselves and to others. In 2008, Americans told surveys that they no longer cared about race. Eight years later, they elected as president Donald J. Trump, a man who retweeted a false claim that black people are responsible for the majority of murders of white Americans, defended his supporters for roughing up a Black Lives Matters protester at one of his rallies, and hesitated in repudiating support from a former leader of the Ku Klux Klan. The same hidden racism that hurt Barack Obama helped Donald Trump.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“As with Google, so with everyone else trying to use data to understand the world. The Big Data revolution is less about collecting more and more data. It is about collecting the right data. But” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“Frankly, the overwhelming majority of academics have ignored the data explosion caused by the digital age. The world’s most famous sex researchers stick with the tried and true. They ask a few hundred subjects about their desires; they don’t ask sites like PornHub for their data. The world’s most famous linguists analyze individual texts; they largely ignore the patterns revealed in billions of books. The methodologies taught to graduate students in psychology, political science, and sociology have been, for the most part, untouched by the digital revolution. The broad, mostly unexplored terrain opened by the data explosion has been left to a small number of forward-thinking professors, rebellious grad students, and hobbyists. That will change.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“For example, we have been told that those of us who drink a moderate amount of alcohol tend to be in better health. That is a correlation. Does this mean drinking a moderate amount will improve one’s health—a causation? Perhaps not. It could be that good health causes people to drink a moderate amount. Social scientists call this reverse causation. Or it could be that there is an independent factor that causes both moderate drinking and good health. Perhaps spending a lot of time with friends leads to both moderate alcohol consumption and good health. Social scientists call this omitted-variable bias.” ― Seth Stephens-Davidowitz, Everybody Lies: What the Internet Can Tell Us About Who We Really Are
“Sometimes new data reveals cultural differences I had never even contemplated. One example: the very different ways that men around the world respond to their wives being pregnant. In Mexico, the top searches about “my pregnant wife” include “frases de amor para mi esposa embarazada” (words of love to my pregnant wife) and “poemas para mi esposa embarazada” (poems for my pregnant wife). In the United States, the top searches include “my wife is pregnant now what” and “my wife is pregnant what do I do.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“I am going to get a beer with some friends and stop working on this damn conclusion. Too few of you, Big Data tells me, are still reading.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“The success of college towns and big cities is striking when you just look at the data. But I also delved more deeply to undertake a more sophisticated empirical analysis. Doing so showed that there was another variable that was a strong predictor of a person’s securing an entry in Wikipedia: the proportion of immigrants in your county of birth. The greater the percentage of foreign-born residents in an area, the higher the proportion of children born there who go on to notable success. (Take that, Donald Trump!) If two places have similar urban and college populations, the one with more immigrants will produce more prominent Americans. What” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“Many people underreport embarrassing behaviors and thoughts on surveys. They want to look good, even though most surveys are anonymous. This is called social desirability bias.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“Never compare your insides to everyone else’s outsides.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“Happy couples are more likely to be happy in the future. Unhappy couples are more likely to be unhappy in the future.” ― Seth Stephens-Davidowitz, Don't Trust Your Gut: Using Data to Get What You Really Want in LIfe
“One potential reason students struggle so much is that teachers don’t show up consistently. On a given day in some schools in rural India, more than 40 percent of teachers are absent.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“Data science takes a natural and intuitive human process—spotting patterns and making sense of them—and injects it with steroids, potentially showing us that the world works in a completely different way from how we thought it did.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“I sometimes suspect that inside every data scientist is a kid trying to figure out why his childhood dreams didn't come true.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“Netflix learned a similar lesson early on in its life cycle: don’t trust what people tell you; trust what they do.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“Silver noticed that the areas where Trump performed best made for an odd map. Trump performed well in parts of the Northeast and industrial Midwest, as well as the South. He performed notably worse out West. Silver looked for variables to try to explain this map. Was it unemployment? Was it religion? Was it gun ownership? Was it rates of immigration? Was it opposition to Obama? Silver found that the single factor that best correlated with Donald Trump’s support in the Republican primaries was that measure I had discovered four years earlier. Areas that supported Trump in the largest numbers were those that made the most Google searches for “nigger.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“I am now convinced that Google searches are the most important dataset ever collected on the human psyche. This” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“If you can't understand a study, the problem is with the study, not with you.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“Facebook is digital brag-to-my-friends-about-how-good-my-life-is serum. In Facebook world, the average adult seems to be happily married, vacationing in the Caribbean, and perusing the Atlantic. In the real world, a lot of people are angry, on supermarket checkout lines, peeking at the National Enquirer, ignoring the phone calls from their spouse, whom they haven’t slept with in years.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“People frequently lie—to themselves and to others. In 2008, Americans told surveys that they no longer cared about race. Eight years later, they elected as president Donald J. Trump, a man who retweeted a false claim that black people are responsible for the majority of murders of white Americans, defended his supporters for roughing up a Black Lives Matters protester at one of his rallies, and hesitated in repudiating support from a former leader of the Ku Klux Klan. The same hidden racism that hurt Barack Obama helped Donald Trump.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“As with Google, so with everyone else trying to use data to understand the world. The Big Data revolution is less about collecting more and more data. It is about collecting the right data. But” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“Frankly, the overwhelming majority of academics have ignored the data explosion caused by the digital age. The world’s most famous sex researchers stick with the tried and true. They ask a few hundred subjects about their desires; they don’t ask sites like PornHub for their data. The world’s most famous linguists analyze individual texts; they largely ignore the patterns revealed in billions of books. The methodologies taught to graduate students in psychology, political science, and sociology have been, for the most part, untouched by the digital revolution. The broad, mostly unexplored terrain opened by the data explosion has been left to a small number of forward-thinking professors, rebellious grad students, and hobbyists. That will change.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“For example, we have been told that those of us who drink a moderate amount of alcohol tend to be in better health. That is a correlation. Does this mean drinking a moderate amount will improve one’s health—a causation? Perhaps not. It could be that good health causes people to drink a moderate amount. Social scientists call this reverse causation. Or it could be that there is an independent factor that causes both moderate drinking and good health. Perhaps spending a lot of time with friends leads to both moderate alcohol consumption and good health. Social scientists call this omitted-variable bias.” ― Seth Stephens-Davidowitz, Everybody Lies: What the Internet Can Tell Us About Who We Really Are
“Sometimes new data reveals cultural differences I had never even contemplated. One example: the very different ways that men around the world respond to their wives being pregnant. In Mexico, the top searches about “my pregnant wife” include “frases de amor para mi esposa embarazada” (words of love to my pregnant wife) and “poemas para mi esposa embarazada” (poems for my pregnant wife). In the United States, the top searches include “my wife is pregnant now what” and “my wife is pregnant what do I do.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“I am going to get a beer with some friends and stop working on this damn conclusion. Too few of you, Big Data tells me, are still reading.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“The success of college towns and big cities is striking when you just look at the data. But I also delved more deeply to undertake a more sophisticated empirical analysis. Doing so showed that there was another variable that was a strong predictor of a person’s securing an entry in Wikipedia: the proportion of immigrants in your county of birth. The greater the percentage of foreign-born residents in an area, the higher the proportion of children born there who go on to notable success. (Take that, Donald Trump!) If two places have similar urban and college populations, the one with more immigrants will produce more prominent Americans. What” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“Many people underreport embarrassing behaviors and thoughts on surveys. They want to look good, even though most surveys are anonymous. This is called social desirability bias.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“Never compare your insides to everyone else’s outsides.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“Happy couples are more likely to be happy in the future. Unhappy couples are more likely to be unhappy in the future.” ― Seth Stephens-Davidowitz, Don't Trust Your Gut: Using Data to Get What You Really Want in LIfe
“One potential reason students struggle so much is that teachers don’t show up consistently. On a given day in some schools in rural India, more than 40 percent of teachers are absent.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
“Data science takes a natural and intuitive human process—spotting patterns and making sense of them—and injects it with steroids, potentially showing us that the world works in a completely different way from how we thought it did.” ― Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
