eBook: Download Everybody Lies Internet About Really ePub (TXT, KINDLE, PDF) + Audio Version


  • File Size: 3628 KB
  • Print Length: 357 pages
  • Publisher: Dey Street Books (May 9, 2017)
  • Publication Date: May 9, 2017
  • Language: English

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The fundamental thesis of " Everyone Lies" is that on the internet data on human behavior, including Google searches in addition to data from Facebook, purchasing and pornographic sites, may reveal much about what we really think compared to data from surveys within which people might become too embarrassed to inform the truth. In our own unguarded moments, when all of us are alone and searching Google in the personal privacy of our homes, all of us are much more likely to divulge our innermost desires. The premise is that genuinely understanding human behavior through psychology or neuroscience is too complicated right now, so it's greater to just bypass that type of comprehending and look at what the numbers are telling all of us in terms of what people's online behavior. In doing this the writer discusses a remarkable selection of online sources in addition to studies by leading scientists, and one must compliment him for the variety and depth of substance he has plumbed.

What has allowed us to get into this pool of unprotected opinions and truckloads of data concerning human behavior is usually the web and the equipment of " big" information. As the author sets it, this data is not merely " big" but furthermore " new", which implies that the kind regarding data we can accessibility is also pretty many through what we are applied to; in his words, all of us live in a global where every sneeze, cough, world wide web purchase, political opinion, in addition to evening run can be considered " data". This makes that possible to test hypotheses that we cannot possess tested before. For example, the particular author gives the instance of testing Freud's Oedipus Complex through accessing pornographic data which indicates a considerable interest in incest. Generally speaking there is very an emphasis on exploring human sexuality in the book, partly because sexuality any of all those aspects of our existence that we wish to hide one of the most and are also pruriently interested within, and partly because checking out this data through Yahoo searches and pornographic websites reveals some rather bizarre sexual preference that are also sometimes specific to one country yet another. This specific is a somewhat enjoyment usage of data mining.

Data exploration can both uncover benefits as well as throw up unexpected findings. A more serious employ of data tools concerns political opinions. According to Yahoo searches in particular says, the author shows just how racism (as indicated by racist Google searches) has been a primary indicator regarding which states voted with regard to Obama in the 08 election and Trump within the 2016 election. That's perhaps an obvious conclusion, at least in retrospect. The more counterintuitive conclusion is usually that the racism divide does not seem to chart neatly on the urban-rural divide or the North-South divide, but rather on the particular East-West divide; people seem to be to be searching a lot more for explicitly racist things in the East when compared to West. There is usually also an interesting survey of gay people much more and less tolerant says which concludes that you are as prone to find gay people in the elements of the country. One more interesting section of the guide talked about how telephone calls for peace by political figures after terrorist attacks actually lead to more somewhat than less xenophobic Yahoo searches; this is accompanied by a section that hints at how the trends may be potentially reversed if different words are applied in political speeches. Right now there is also an fascinating discussion of the way the belief that newspaper political leanings drive customer political choices gets it exactly in reverse; the data shows that customer political preferences shape what newspapers print, so effectively they are doing nothing different from any other customer-focused, profit making organization.

The primary tool with regard to doing all this information analysis is correlation or perhaps regression analysis, where you look at online queries and try to find correlations between certain terms and factors like geographic location, gender, ethnicity. 1 hopes that one offers separated the most crucial correlated adjustable and has eliminated other potentially important ones.

Right now there are tons of other amusing and informative research - sometimes the author's own but more frequently other people's - that reveal human desires in addition to behavior across a broad swathe of fields, including national politics, dating, sports, education, purchasing and sexuality. There's a lot of potentially useful substance in these studies. Regarding instance, a few of the data that indicates gaps in academic or social attainment within different parts of the particular country are immediately doable in principle. Google queries have also been accustomed to keep track of flu and other disease epidemics. Sometimes finding correlations is usually financially lucrative; there is a history about how a equine expert found that accomplishment in horse races looks to correlate with one factor more than any other: the size of the particular left ventricle. Another study isolated the impact regarding the early growing season on the quality regarding wines. There is simply no doubt that financial companies, supermarkets, newspapers, hospitals in addition to online purveyors of almost everything from pornography to peanuts will certainly keep a close up eye on this data to maximize their reach in addition to profits.

Generally speaking I enjoyed " Everybody Lies"; for the scope regarding the material, the easy-going style and several of the particular counterintuitive observations it discloses. My main reservation about the book is that I do believe the author overstates his case and at times sounds a little too breathless about the great changes these tools are heading to bring. More compared to once he uses the particular term " revolutionary" within describing these data equipment, but I am far more suspicious of their greatest utility. Firstly, data will not equal knowledge; somewhat, it is the raw material for knowledge. Since the author himself acknowledges, comprehending correlation is not the particular same as understanding causing, and it's in very few cases that a correct causal relationship between individuals Google searches and their true nature can become established. Part of the particular reason I think this specific way is because I don't believe that the person's Search is as reflective of their intimate desires as the guide appears to think, so what a person truly thinks may go way past their online behavior. Take into account the studies revealing individuals sexual preferences for example; how many of them point to trivial idiosyncrasies in addition to how many are a sign of some deeper truth about human brains? The tools alone cannot attract this distinction. At the particular end of the day time you could thus end up with a lot of information (including lots of noise), yet teasing apart the useful data points from the particular red herrings is actually a entirely different matter. In this specific sense, looking at Yahoo searches and other information may be a reductionist in addition to simplistic approach.

Secondly, it's usually quite hard to handle for all possible variables that may reflect a Yahoo search; for instance within concluding that racism adds the most to the particular political behavior, it's very hard to tease out all other aspects that also may do so, especially when you are talking about a heterogeneous assortment of human beings. How can you know that you could have corrected for every single possible factor? Thirdly in addition to finally, the " science" part of " information science" still lacks puritanismo in my opinion. Regarding instance, a lot regarding the conclusions the guide talks about derive from individual studies which are not repetitive. In some cases the particular sample sizes are big, but in other cases they are small. Plus, individuals opinions can change over period, so it's important to choose the right time windows in which to accomplish the particular study. All this factors to great responsibility about the part of information scientists to make positive that their results are rigorous and not too simplistic, before they are taken up by both politicians and the general public as blunt tools to change social guidelines. This responsibility increases especially as these approaches be a little more widespread and cheaper to make use of, especially in the palms of non-specialists. When you are in possession regarding a hammer, everything starts looking like a nail.

Considering all these tricks, I thus find equipment like those described with this volume to be the particular starting points for comprehending human behavior, rather compared to direct determinants of human behavior. The tools on their own can tell you what they can be used for, not really necessarily what problems would benefit the most using their application. The many fascinating studies in this guide certainly answer the " what" quite well, but most of them are nevertheless quite far from addressing the " how" in addition to especially the " why". They point out the path to the door, yet don't necessarily tell all of us which door to open up. And they can become especially impoverished in illuminating what lies beyond; with regard to that merely a true comprehending of the human mind will pave the way., I read it within two days. It is a good easy and fun go through even for the general reader.

“Everybody Lies” is usually a fascinating dive directly into the world of “Big Data”. The core idea of the book is usually that by mining big data sets we may answer questions more effectively than through other procedures. Behavioral and psychological questions can be addressed without the particular filter of the poll or perhaps questionnaire, where “everybody lies”. Thus, in theory, we capture a more accurate portrayal of people’s real prejudices and desires through large data searches than through polling.

Seth Stephens-Davidowitz uses quirky and often humorous examples to show the particular power of big information. One example from the particular book revealed that I was one of the particular 7% who finished “Thinking, Fast and Slow” (I am not sure whether that is a advantages or disadvantages thing).

The data is usually the data, but the particular interpretation is subjective. My concern is that the particular subjective conclusions drawn through the data will probably be presented as fact rather than what they are – subjective interpretations of the information (however statistically significant). Because such, there is the danger that such info will probably be misused. We nevertheless need to be cautious in identifying the meaning of the information.

Seth Stephens-Davidowitz brings the particular topic to life along with terrific story telling with regards to a wide number of subjects. The author has performed the great service by making this very important subject comprehensible to “the rest of us”., Operating under the particular theory that people are not truthful in studies but are much more truthful in Google queries this book details the particular information available and after that cites interesting questions in addition to builds a case about how data may possibly provide us a truer image of the answer not really previously seen. Yes, subjects such as sex are talked about but in a manner regarding data extraction. Overall the very worthwhile read about an interest most don't stick to., I had formed the book within my queue to go through for over 3 weeks after hearing the writer on a podcast. I'm glad I finally got the chance to go through it given how habit forming it is. The author rightly compares this to freakanomics and that is exactly how I described it to some friend after getting through 33%. Just like freakanomics before this, every body lies was insightful in addition to thought provoking around everyday concepts that are given clarity, As with the lot of books about sociology there are very many plausible correlations. The core of this book is usually to use data through internet searches rather compared to surveys. This method prevents the obvious pitfalls regarding surveys, but as mcdougal outlines it does not really necessarily make it more predictive.

One frustration is that no numbers receive as to relative sizes of data, so one cannot determine whether the correlations are based on relatively tiny or large data units.

In any case, the particular method seems like it offers a lot of prospective., Slightly long on commentary but easy read through. There is a lot of territory left unexplored which is the frustrating part. The fact that everybody lies is painfully obvious. I hope pulling back the curtain eventually helps to improve our bullpucky addled world.
Enjoy that beer, Seth., This is one of the particular entertaining books I've go through in quite a although. In diving deeply directly into search history data, Stephens-Davidowitz not only reveals that individuals actions trump their values or words, but he or she presents it in such a disturbingly hilarious way that I go through the entire book within less than two days and nights. I discovered myself bookmarking pages for reference later, anything I very rarely do when reading. Not only would I recommend this guide to everyone, but Let me surely be re-reading this specific again sometime soon., I found that Seth's get on data analysis is usually fresh and quite believed provoking. I do information analysis as a career and found his insights in addition to ways to be quite various. It is refreshing in addition to energizing to learn of the new approach of anything I have been doing for years.

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Everybody Lies Internet About Really
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