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Dataclysm: What Our Online Lives Tell Us About Our Offline Selves (Anglais) Broché – 7 avril 2016

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Extrait

1.

Wooderson’s Law

Up where the world is steep, like in the Andes, people use funicular railroads to get where they need to go—­a pair of cable cars connected by a pulley far up the hill. The weight of the one car going down pulls the other up; the two vessels travel in counterbalance. I’ve learned that that’s what being a parent is like. If the years bring me low, they raise my daughter, and, please, so be it. I surrender gladly to the passage, of course, especially as each new moment gone by is another I’ve lived with her, but that doesn’t mean I don’t miss the days when my hair was actually all brown and my skin free of weird spots. My girl is two and I can tell you that nothing makes the arc of time more clear than the creases in the back of your hand as it teaches plump little fingers to count: one, two, tee.

But some guy having a baby and getting wrinkles is not news. You can start with whatever the Oil of Olay marketing department is running up the pole this week—­as I’m writing it’s the idea of “color correcting” your face with a creamy beige paste that is either mud from the foothills of Alsace or the very essence of bullshit—­and work your way back to myths of Hera’s jealous rage. People have been obsessed with getting older, and with getting uglier because of it, for as long as there’ve been people and obsession and ugliness. “Death and taxes” are our two eternals, right? And depending on the next government shutdown, the latter is looking less and less reliable. So there you go.

When I was a teenager—­and it shocks me to realize I was closer then to my daughter’s age than to my current thirty-­eight—­I was really into punk rock, especially pop-­punk. The bands were basically snottier and less proficient versions of Green Day. When I go back and listen to them now, the whole phenomenon seems supernatural to me: grown men brought together in trios and quartets by some unseen force to whine about girlfriends and what other people are eating. But at the time I thought these bands were the shit. And because they were too cool to have posters, I had to settle for arranging their album covers and flyers on my bedroom wall. My parents have long since moved—­twice, in fact. I’m pretty sure my old bedroom is now someone else’s attic, and I have no idea where any of the paraphernalia I collected is. Or really what most of it even looked like. I can just remember it and smile, and wince.

Today an eighteen-­year-­old tacks a picture on his wall, and that wall will never come down. Not only will his thirty-­eight-­year-­old self be able to go back, pick through the detritus, and ask, “What was I thinking?,” so can the rest of us, and so can researchers. Moreover, they can do it for all people, not just one guy. And, more still, they can connect that eighteenth year to what came before and what’s still to come, because the wall, covered in totems, follows him from that bedroom in his parents’ house to his dorm room to his first apartment to his girlfriend’s place to his honeymoon, and, yes, to his daughter’s nursery. Where he will proceed to paper it over in a billion updates of her eating mush.

A new parent is perhaps most sensitive to the milestones of getting older. It’s almost all you talk about with other people, and you get actual metrics at the doctor’s every few months. But the milestones keep coming long after babycenter .com and the pediatrician quit with the reminders. It’s just that we stop keeping track. Computers, however, have nothing better to do; keeping track is their only job. They don’t lose the scrapbook, or travel, or get drunk, or grow senile, or even blink. They just sit there and remember. The myriad phases of our lives, once gone but to memory and the occasional shoebox, are becoming permanent, and as daunting as that may be to everyone with a drunk selfie on Instagram, the opportunity for understanding, if handled carefully, is self-­evident.

What I’ve just described, the wall and the long accumulation of a life, is what sociologists call longitudinal data—­data from following the same people, over time—­and I was speculating about the research of the future. We don’t have these capabilities quite yet because the Internet, as a pervasive human record, is still too young. As hard as it is to believe, even Facebook, touchstone and warhorse that it is, has only been big for about six years. It’s not even in middle school! Information this deep is still something we’re building toward, literally, one day at a time. In ten or twenty years, we’ll be able to answer questions like . . . well, for one, how much does it mess up a person to have every moment of her life, since infancy, posted for everyone else to see? But we’ll also know so much more about how friends grow apart or how new ideas percolate through the mainstream. I can see the long-­term potential in the rows and columns of my databases, and we can all see it in, for example, the promise of Facebook’s Timeline: for the passage of time, data creates a new kind of fullness, if not exactly a new science.

Even now, in certain situations, we can find an excellent proxy, a sort of flash-­forward to the possibilities. We can take groups of people at different points in their lives, compare them, and get a rough draft of life’s arc. This approach won’t work with music tastes, for example, because music itself also evolves through time, so the analysis has no control. But there are fixed universals that can support it, and, in the data I have, the nexus of beauty, sex, and age is one of them. Here the possibility already exists to mark milestones, as well as lay bare vanities and vulnerabilities that were perhaps till now just shades of truth. So doing, we will approach a topic that has consumed authors, painters, philosophers, and poets since those vocations existed, perhaps with less art (though there is an art to it), but with a new and glinting precision. As usual, the good stuff lies in the distance between thought and action, and I’ll show you how we find it.

I’ll start with the opinions of women—­all the trends below are true across my sexual data sets, but for specificity’s sake, I’ll use numbers from OkCupid. This table lists, for a woman, the age of men she finds most attractive. If I’ve arranged it unusually, you’ll see in a second why.

Reading from the top, we see that twenty-­ and twenty-­one-­year-­old women prefer twenty-­three-­year-­old guys; twenty-­two-­year-­old women like men who are twenty-­four, and so on down through the years to women at fifty, who we see rate forty-­six-­year-­olds the highest. This isn’t survey data, this is data built from tens of millions of preferences expressed in the act of finding a date, and even from just following along the first few entries, the gist of the table is clear: a woman wants a guy to be roughly as old as she is. Pick an age in black under forty, and the number in red is always very close. The broad trend comes through better when I let lateral space reflect the progression of the values in red:

That dotted diagonal is the “age parity” line, where the male and female years would be equal. It’s not a canonical math thing, just something I overlaid as a guide for your eye. Often there is an intrinsic geometry to a situation—­it was the first science for a reason—­and we’ll take advantage wherever possible. This particular line brings out two transitions, which coincide with big birthdays. The first pivot point is at thirty, where the trend of the red numbers—­the ages of the men—­crosses below the line, never to cross back. That’s the data’s way of saying that until thirty, a woman prefers slightly older guys; afterward, she likes them slightly younger. Then at forty, the progression breaks free of the diagonal, going practically straight down for nine years. That is to say, a woman’s tastes appear to hit a wall. Or a man’s looks fall off a cliff, however you want to think about it. If we want to pick the point where a man’s sexual appeal has reached its limit, it’s there: forty.

The two perspectives (of the woman doing the rating and of the man being rated) are two halves of a whole. As a woman gets older, her standards evolve, and from the man’s side, the rough 1:1 movement of the red numbers versus the black implies that as he matures, the expectations of his female peers mature as well—­practically year-­for-­year. He gets older, and their viewpoint accommodates him. The wrinkles, the nose hair, the renewed commitment to cargo shorts—­these are all somehow satisfactory, or at least offset by other virtues. Compare this to the free ­fall of scores going the other way, from men to women.

This graph—­and it’s practically not even a graph, just a table with a couple columns—­makes a statement as stark as its own negative space. A woman’s at her best when she’s in her very early twenties. Period. And really my plot doesn’t show that strongly enough. The four highest-rated female ages are twenty, twenty-­one, twenty-­two, and twenty-­three for every group of guys but one. You can see the general pattern below, where I’ve overlaid shading for the top two quartiles (that is, top half) of ratings. I’ve also added some female ages as numbers in black on the bottom horizontal to help you navigate:

Again, the geometry speaks: the male pattern runs much deeper than just a preference for twenty-­year-­olds. And after he hits thirty, the latter half of our age range (that is, women over thirty-­five) might as well not exist. Younger is better, and youngest is best of all, and if “over the hill” means the beginning of a person’s decline, a straight woman is over the hill as soon as she’s old enough to drink.

Of course, another way to put this focus on youth is that males’ expectations never grow up. A fifty-­year-­old man’s idea of what’s hot is roughly the same as a college kid’s, at least with age as the variable under consideration—­if anything, men in their twenties are more willing to date older women. That pocket of middling ratings in the upper right of the plot, that’s your “cougar” bait, basically. Hikers just out enjoying a nice day, then bam.

In a mathematical sense, a man’s age and his sexual aims are independent variables: the former changes while the latter never does. I call this Wooderson’s law, in honor of its most famous proponent, Matthew McConaughey’s character from Dazed and Confused.

Unlike Wooderson himself, what men claim they want is quite different from the private voting data we’ve just seen. The ratings above were submitted without any specific prompt beyond “Judge this person.” But when you ask men outright to select the ages of women they’re looking for, you get much different results. The gray space below is what men tell us they want when asked:

Since I don’t think that anyone is intentionally misleading us when they give OkCupid their preferences—­there’s little incentive to do that, since all you get then is a site that gives you what you know you don’t want—­I see this as a statement of what men imagine they’re supposed to desire, versus what they actually do. The gap between the two ideas just grows over the years, although the tension seems to resolve in a kind of pathetic compromise when it’s time to stop voting and act, as you’ll see.

The next plot (the final one of this type we’ll look at) identifies the age with the greatest density of contact attempts. These most-­messaged ages are described by the darkest gray squares drifting along the left-­hand edge of the larger swath. Those three dark verticals in the graph’s lower half show the jumps in a man’s self-­concept as he approaches middle age. You can almost see the gears turning. At forty-­four, he’s comfortable approaching a woman as young as thirty-­five. Then, one year later . . . he thinks better of it. While a nine-­year age difference is fine, ten years is apparently too much.

It’s this kind of calculated no-­man’s-­land—­the balance between what you want, what you say, and what you do—­that real romance has to occupy: no matter how people might vote in private or what they prefer in the abstract, there aren’t many fifty-­year-­old men successfully pursuing twenty-­year-­old women. For one thing, social conventions work against it. For another, dating requires reciprocity. What one person wants is only half of the equation. --Ce texte fait référence à l'édition Broché .

Revue de presse

An NPR Best Book of 2014
A Globe & Mail Best Book of 2014
A Brain Pickings Best Science Book of 2014
A Bloomberg Best Book of 2014
One of Hudson Booksellers' 5 Best Business Books of 2014
Goodreads Semifinalist for Best Nonfiction Book of the Year
Finalist for the Los Angeles Times Book Prize

"Most data-hyping books are vapor and slogans. This one has the real stuff: actual data and actual analysis taking place on the page. That’s something to be praised, loudly and at length. Praiseworthy, too, is Rudder’s writing, which is consistently zingy and mercifully free of Silicon Valley business gabble."
Jordan Ellenberg, Washington Post

"As a researcher, Mr. Rudder clearly possesses the statistical acumen to answer the questions he has posed so well. As a writer, he keeps the book moving while fully exploring each topic, revealing his graphs and charts with both explanatory and narrative skill. Though he forgoes statistical particulars like p-values and confidence intervals, he gives an approachable, persuasive account of his data sources and results. He offers explanations of what the data can and cannot tell us, why it is sufficient or insufficient to answer some question we may have and, if the latter is the case, what sufficient data would look like. He shows you, in short, how to think about data."
—Wall Street Journal

"Rudder is the co-founder of the dating site OKCupid and the data scientist behind its now-legendary trend analyses, but he is also — as it becomes immediately clear from his elegant writing and wildly cross-disciplinary references — a lover of literature, philosophy, anthropology, and all the other humanities that make us human and that, importantly in this case, enhance and ennoble the hard data with dimensional insight into the richness of the human experience...an extraordinarily unusual and dimensional lens on what Carl Sagan memorably called ‘the aggregate of our joy and suffering.’"
—Maria Popova, Brain Pickings

"Fascinating, funny, and occasionally howl-inducing...[Rudder] is a quant with soul, and we’re lucky to have him."
—Elle
 
"There's another side of Big Data you haven't seen—not the one that promised to use our digital world to our advantage to optimize, monetize, or systematize every last part our lives. It's the big data that rears its ugly head and tells us what we don't want to know. And that, as Christian Rudder demonstrates in his new book, Dataclysm, is perhaps an equally worthwhile pursuit. Before we heighten the human experience, we should understand it first."
—TIME

"At a time when consumers are increasingly wary of online tracking, Rudder makes a powerful argument in Dataclysm that the ability to tell so much about us from the trails we leave is as potentially useful as it is pernicious, and as educational as it may be unsettling. By explaining some of the insights he has gleaned from OkCupid and other social networks, he demystifies data-mining and sheds light on what, for better or for worse, it is now capable of."
—Financial Times

"Dataclysm is a well-written and funny look at what the numbers reveal about human behavior in the age of social media. It’s both profound and a bit disturbing, because, sad to say, we’re generally not the kind of people we like to think — or say — we are."
—Salon

"For all its data and its seemingly dating-specific focus, Dataclysm tells the story set forth by the book's subtitle, in an entertaining and accessible way. Informative, eye-opening, and (gasp) fun to read. Even if you’re not a giant stat head."
Grantland

"[Rudder] doesn’t wring or clap his hands over the big-data phenomenon (see N.S.A., Google ads, that sneaky Fitbit) so much as plunge them into big data and attempt to pull strange creatures from the murky depths." 
The New Yorker

"A hopeful and exciting journey into the heart of data collection...[Rudder's] book delivers both insider access and a savvy critique of the very machinery he is employed by. Since he's been in the data mines and has risen above them, Rudder becomes a singular and trustworthy guide.
—The Globe and Mail

"Compulsively readable — including for those with no particular affinity for numbers in and of themselves — and surprisingly personal. Starting with aggregates, Rudder posits, we can zoom in on the details of how we live, love, fight, work, play, and age; from numbers, we can derive narrative. There are few characters in the book, and few anecdotes — but the human story resounds throughout."
Refinery29

"Rudder’s lively, clear prose…makes heady concepts understandable and transforms the book’s many charts into revealing truths…Rudder teaches us a bit about how wonderfully peculiar humans are, and how we go about hiding it."
—Flavorwire

"Dataclysm is all about what we can learn about human minds and hearts by analyzing the massive ongoing experiment that is the internet."
Forbes

"The book reads as if it's written (well) by a curious child whose parents beg him or her to stop asking "what-if" questions. Rudder examines the data of the website he helped create with unwavering curiosity. Every turn presents new questions to be answered, and he happily heads down the rabbit hole to resolve them."
—U.S. News

"A wonderful march through infographics created using data derived from the web…a fun, visual book—and a necessary one at that."
The Independent (UK), 2014's Best Books on the Internet and Technology

"This is the best book that I've read on data in years, perhaps ever. If you want to understand how data is affecting the present and what it portends for the future, buy it now."
—Huffington Post

"Rudder draws from big data sets – Google searches, Twitter updates, illicitly obtained Facebook data passed shiftily between researchers like bags of weed – to draw out subtle patterns in politics, sexuality, identity and behaviour that are only revealed with distance and aggregation…Dataclysm will entertain those who want to know how machines see us. It also serves as a call to action, showing us how server farms running everything from home shopping to homeland security turn us into easily digested data products. Rudder's message is clear: in this particular sausage factory, we are the pigs.” 
New Scientist

"Dataclysm offers both the satisfaction of confirming stereotypes and the fun of defying them…Such candor is disarming, as is Mr. Rudder’s puckish sense of humor." 
–Pittsburgh Post-Gazette

"Studying human behavior is a little like exploring a jungle: it's messy, hard, and easy to lose your way. But Christian Rudder is a consummate guide, revealing essential truths about who we are. Big Data has never been so fun."
—Dan Ariely, author of Predictably Irrational
 
"Dataclysm is a book full of juicy secrets—secrets about who we love, what we crave, why we like, and how we change each other’s minds and lives, often without even knowing it. Christian Rudder makes this mathematical narrative of our culture fun to read and even more fun to discuss: You will find yourself sharing these intriguing data-driven revelations with everyone you know."
—Jane McGonigal, author of Reality Is Broken
 
"In the first few pages of Dataclysm, Christian Rudder uses massive amounts of actual behavioral data to prove what I always believed in my heart: Belle and Sebastian is the whitest band ever. It only gets better from there."
—Aziz Ansari

"It’s unheard of for a book about Big Data to read like a guilty pleasure, but Dataclysm does. It’s a fascinating, almost voyeuristic look at who we really are and what we really want."
—Steven Strogatz, Schurman Professor of Applied Mathematics, Cornell University, author of The Joy of x

"Smart, revealing, and sometimes sobering, Dataclysm affirms what we probably suspected in our darker moments: When it comes to romance, what we say we want isn't what will actually make us happy. Christian Rudder has tapped the tremendous wealth of data that the Internet offers to tease out thoughts on topics like beauty and race that most of us wouldn’t cop to publicly. It's a riveting read, and Rudder is an affable and humane guide."
—Adelle Waldman, author of The Love Affairs of Nathaniel P.

"Christian Rudder has written a funny and profound book about important issues. Race, love, sex—you name it. Are we the sum of the data we produce? Read this book immediately and see if you can answer the question."
—Errol Morris

"Big Data can be like a 3D movie without 3D glasses—you know there's a lot going on but you're mainly just disoriented. We should feel fortunate to have an interpreter as skilled (and funny) as Christian Rudder. Dataclysm is filled with insights that boil down Big Data into byte-sized revelations."
—Michael Norton, Harvard Business School, coauthor of Happy Money

"With a zest for both the profound and the wacky, Rudder demonstrates how the information we provide individually tells a vast deal about who we are collectively. A visually engaging read and a fascinating topic make this a great choice not just for followers of Nate Silver and fans of infographics, but for just about anyone who, by participating in online activity, has contributed to the data set."
—Library Journal

"Demographers, entrepreneurs, students of history and sociology, and ordinary citizens alike will find plenty of provocations and, yes, much data in Rudder's well-argued, revealing pages."
—Kirkus Reviews



From the Hardcover edition. --Ce texte fait référence à l'édition Broché .

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Format: Broché Achat vérifié
Okcupid est un site de rencontres assez populaire dans les grandes villes américaines et un peu à l’international. L’auteur, qui est l’un des fondateurs du site, y a recueilli des statistiques fascinantes et les a publiées sur son blog. Il en reprend quelques-unes dans ce livre, mais malheureusement très peu. La principale concerne l’âge que les utilisateurs trouvent le plus séduisant : les femmes préfèrent les hommes de leur âge, les hommes préfèrent les femmes de 22 ans. On a aussi l’analyse lexicologique des mots qui caractérisent les profils des gens par race, sexe et orientation sexuelle, et l’estimation du nombre d’hommes homosexuels dans une population à partir des recherches de pornographie sur Google : 5% dans toutes les cultures. Tout ça est amusant mais d’intérêt limité. A part ça il y a il y a des considérations sur le racisme latent des utilisateurs (à partir des taux de réponse par race déclarée sur les profils), ou sur l’utilisation de nos données par les grandes sociétés et les gouvernements, mais ça reste très général. On n’y trouvera pas non plus de conseils ou d’idées pour améliorer son taux de succès sur internet. Pas très intéressant donc, à moins de ne rien connaître au fonctionnement d’internet et aux statistiques. Il vaut mieux lire le blog.
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Oubliez les enquêtes où on demande à 100 (ou 1000, peu importe) personnes ce qu'elles pensent d'un sujet ? Forget it ! Le travail de Rudder se base sur des données sur les interactions et actions entre des 100 de milliers de personnes. Pas ce qu'elles disent, mais ce qu'elles font: répondre à des messages (ou pas), se noter mutuellement en vue d'une rencontre possible, etc. C'est sur les sites de rencontre avant tout - et répond à des questions que vous n'auriez même pas osées poser: sur les relations interraciales, le limite des photographies sur les sites de rencontres, etc. C'est amusant, intelligent et impressionnant de données.
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7 internautes sur 7 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 Teases out insights into how people honestly think about themselves and others 5 novembre 2014
Par Walt Bristow - Publié sur Amazon.com
Format: Format Kindle Achat vérifié
Big data has a bad name. It is used to spy on us and to convince us to buy things we do not need (and, we discover after parting with our money, that we often do not want). Nevertheless, big data - and the insight it gives into who we are - fascinates us.

Christian Rudder is in a unique position to tell us a lot about ourselves. As a co-founder of OkCupid, he has access to the hearts and minds (and politics and food and drink) of millions of us. In Dataclysm, he slices, dices, and adds a bit of direction (and wit) to data that, he believes, reveals the inner soul of who we are.

Here is a smattering of what you'll uncover in Dataclysm.

Women (who men believe are `over-the-hill' after age 21) think that only one in six men is `above average' in attractiveness. Until age 30, women prefer slightly older guys. After 30, they prefer them slightly younger. At 40, well let's say that men lose their appeal after they turn 40. Conclusion? Women want men to age with them (at least until age 40). Men always want youth.

People who are considered attractive by everyone are less appealing that those who are seen as unattractive by some. That is, having some flaw or imperfection actually makes you more attractive and appealing to others.

Twitter may actually improve a user's writing because it forces you to wring meaning from fewer letters.

The messages on OkCupid that get the most responses are short (40-60 characters). To get to that brief message, most people edit, edit and edit some more. Then that same message is used over and over and over again. Rudder's conclusion? Boilerplate is 75% as effective as something original.

Remember the six degrees of separation? Rudder reports that analysis of Facebook accounts shows that 99.6% of people on Facebook are, in fact, within six degrees of anyone on the planet. The more you share with mutual friends, the stronger the relationship. Couples who have a strong relationship tend to be the connecting point among very different groups of people - your partner is one of the few people you can introduce into the far corners of your life.

People tend to overemphasize the big, splashy things: faith, politics, and certainly looks, but in determining compatibility with another, those beliefs do not matter nearly as much as everyone thinks. Sometimes they do not matter at all. Often it is caring about a topic that is more important than how you view the topic itself.

Race has less effect on how well you will get along with someone else than religion, politics or education. However, racism is still pervasive in whom you might prefer to interact with.
On Facebook, every percentile of attractiveness gives a man two new friends. It gives a woman three. Guess how that plays into employment interviews?

White people tend to differentiate themselves by their hair and eyes. Asians by their country of origin. Latinos by their music.

You get the idea - many strange but interesting relationships begin to pop out when you have mounds of data about many people who give up that data without the expectation that it is going to be used to figure out who we really are when no one is looking over our shoulder.

Rudder provides a stimulating glimpse into what can be teased out of piles of data. I have to assume he knows how to analyze the data and how to interpret what the data says to him. What he sees is sometimes distressing (as in his conclusions about racism). However, it is always fascinating.

As dating sites, Google, social media sites, (the NSA?) and others continue to vacuum up data on our personal lives, will the result be good? Or will it be used to hurt? Who will decide? Does it require laws? Or will people eventually turn away from companies that misuse the information we give them about ourselves?

A good read. Look for more tidbits as social scientists dig deeper and deeper into big data.

This and other reviews available at WalterBristow.com

Review based on a copy courtesy of the publisher.
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3.0 étoiles sur 5 Diluted from the Blog 11 janvier 2016
Par David - Publié sur Amazon.com
Format: Broché Achat vérifié
The author of Dataclysm preceded his book with a blog about interesting statistical trends from his website, OKCupid. Advertisements on the blog made Dataclysm look like a whole book's worth of blog posts.

The blog was quite interesting. The data often spoke for itself, and comments from the author either clarified the data or added some wit and charm. The introductory chapter in Dataclysm touted these features and promised a departure from the norms of a social trends analysis. There was to be little reliance on isolated anecdotes and there was to be minimal hollow blather about the grandiose philosophical potentialities of the subject at hand.

Sadly, the grandiose philosophical potentialities take up most of the book. The author is quite enamored with what data he expects to someday find available as well as the possibilities of its use, and he wants to make very sure you know it. Isolated extreme anecdotes also become common later in the book. For example, there is a particularly egregious chapter about "mobs" on Twitter--it consists of three extreme example events and several pages of speculation as to the cultural implications, with no mass statistical trends at all.

There are many interesting investigations in the book. (Did you know "Ann Arbor" is the third-least-Hispanic phrase in the English language?) Still, these are diluted, and Dataclysm is a disappointing legacy for the original, exceptional blog.
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5.0 étoiles sur 5 some good, some bad 15 avril 2015
Par Amazon Customer - Publié sur Amazon.com
Format: Format Kindle Achat vérifié
I just finished a class project on this book, and wrote this review for the project in my information studies class.

In the book Dataclasysm, by Christian Rudder the co-founder of Okcupid, Rudder takes a compelling look at data research in big Internet companies. A few months before Rudder released his book in October 2014, Rudder posted a blog explaining three tests their company has conducted on its sites users. Rudder got some flack for saying this in his blog “guess what, everybody: if you use the Internet, you’re the subject of hundreds of experiments at any given time, on every site. That’s how websites work.”

The media spun Rudder’s comments in his blog in quit a few different ways, some good and some bad. Many people appreciate that Rudder and his partners at Okcupid released a tell-all in data usage from one of the largest free dating sites on the web.

Rudder and his colleagues believe that people should have the right to know what companies like Okcupid are doing with their data. Okcupid is not selling the data they collect from the people who use his dating site to other companies. The Data is used to improve users experience on their dating site.

The book offers an in-depth look into what social media sites and search engines do with your data from analyzing keystrokes to identifying a secret population of racists by their search terms and preferences in dating. The book shows how people act in front of social media and how they act when they don’t think anyone is watching.
4.0 étoiles sur 5 What Kind Of Male Does A White/Black/Asian/Latin Girl Prefer ? 9 mars 2015
Par Big Data Paramedic - Publié sur Amazon.com
Format: Format Kindle Achat vérifié
The book is an excellent and amusing read. At the end there is not much take away other than feeling the awe and power of Data Science. If you have a business or make business Decisions, In your next meeting, there is a good chance, you will be detached from the rest thinking about How Data Science can help your company grow.

Being a founder of cupid, this book has interesting inferences on many of the life's activity around male/female relationships and racial preferences. It does not need a rocket scientist to understand men,given a choice prefer young girls. Here he has used thousands of users (of OKCUpid) data to plot a neat little graph where men whether twentyfive or fortyfive, prefer a girl of twentyfour years maximum and young girls under thirty prefer men couple of years older than themselves . 20 year old girl prefers a 23 year old man and at the age of 30, the graph shifts where a 30 year old prefers a 30 year old man and from there on till death, they like the company of males of their age (Cougars popularized by Movies are fiction ...sorry boys).

da.. we all know it, but now data Science proves it.

LEARNING DATA SCIENCE: If you want to learn to be a data scientist ( need programming experience) try Data Science course provided by coursera ($500) or Harvard ($8000) or many universities are providing in their curriculum. But you do not need a car mechanic to enjoy Driving. Read These Books

> Big Data: A Revolution That Will Transform How We Live, Work, and Think by Viktor Mayer-Schonberger (Mar 5 2013)
> Big Data at Work: Dispelling the Myths, Uncovering the Opportunities
> Data Science for Business: What you need to know about data mining and data-analytic thinking ( THE BEST START YOU CAN HOPE TO THINK OF )

SUMMARY:
Interested to know which race of male does an Asian girl Prefer(OR...fill in any race), or want to guess how a Lesbian describes herself vs a Gay man ... Read this book.
3.0 étoiles sur 5 Interesting Topic; Poor Execution 2 janvier 2015
Par Rachel - Publié sur Amazon.com
Format: Format Kindle Achat vérifié
Dataclysm covers an interesting topic - big data - in a disappointing fashion. Rudder demonstrates how big data can be used in creative and innovative ways, but the focus on OK Cupid diminishes the effect. The results Rudder presents about OK Cupid data are mildly interesting. However, these results have already been highly publicized on Rudder's blog and in the media. You are unlikely to find any new information about human attraction and dating in this book. Rudder does introduce some data from Google, but it is underemployed throughout the book.

There are interesting ideas raised by Rudder - racial cleavages in particular - but the majority of Dataclysm is about the banality of dating behavior. In addition, Rudder's methods with this OK Cupid data are occasionally questionable, albeit original. For instance, Rudder "demonstrates" the harsh differences between different races and gender by using an algorithm that detects words that are supposedly characteristic of the demographic group in question. The mechanics of the algorithm, however, are to detect words used by the demographic group, but not used by any other group. When these words are presented, there is no information on how common they are among the group in question. If these words constitute a high percentage of the group's language, this algorithm seems reasonable. However, it seems more likely that the words are rarely used within this demographic group. Thus, the algorithm is constructed to show large demographic differences, even if the differences are in reality miniscule.

Finally, Rudder writes with a snarky attitude that rubs readers the wrong way - even those readers who agree with his sentiments. These comments indicate that Rudder is overly confident in the importance in his small findings. Perhaps this is why he has overlooked some of the flaws in his methods.

Recommendation: if you are looking for inspiration on using big data in creative ways, skip part 1 and skim parts 2 and 3. If you are interested in human attraction, skip the book and read OK Cupid's blog; you'll save money and time.
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