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Please note: The content is generated by an AI language model based on reviews. We are constantly improving the accuracy, however, its outputs may contain errors or offensive content from certain reviews. Please report any errors or offensive content to us. Also, please note that we will not collect your questions unless you click the thumbs up/down button to provide feedback. The answers displayed will be stored by us so if another Fakespotter asks a similar question we can provide them an answer faster. Your feedback will only help us make Fakespot Chat better! By using Fakespot Chat, you agree to Fakespot's terms of use and privacy notice.

Pros & Cons

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pros

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pros

Features with many positive mentions

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Data Analysis

Customers have generally positive opinions towards the book's exploration of data analysis and its impact on understanding human behavior. Some readers found it insightful in revealing consumer perception and opinion through big data, while others were critical of the author's use of data and lack of clear themes or arguments.

neutral

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neutral

Frequently mentioned features with split sentiment

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Content Relevance

Customers have mixed opinions about the content relevance of the book "Everybody Lies". While some found the exploration of Google Trends data insightful and comparable to Freakonomics, others felt that the focus on porn searches was repetitive and dated.

Bias Acknowledgement

Customers have mixed opinions on the author's acknowledgement of bias in the book. While some praise the original insights and findings, others criticize the lack of scientific rigor and perceived political bias. The author's tone and selected data to support his points are also subjects of contention.

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Highlights

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Quality


Lots of original insights/findings, clearly presented, and with enough humility and without the common bias you find in many cu...  Read More


The strengths and limitations of using big data, as well as some ethical issues.


This audiobook is about what you can find when you look at the the sources of data where people don't lie, because it would def...  Read More


It is at best weak in parts where machine learning methods should be described.

Price


No longer do i want to explore the data science field solely because of a potential salary.

Shipping


Delivery was on time and book was in very good condition.

Competitiveness


Google and other search engines are major sources of that "honest data.


Those who design performance metrics for corporations use behavioral anchors for traits correlated with desired results.


One more impression is that it really shows how much hidden power those internet companies such as "google", "facebook" hold on us.

Overview

  • How are reviewers describing this item?
    big, good, many and most.
  • Our engine has profiled the reviewer patterns and has determined that there is minimal deception involved.
  • Our engine has determined that the review content quality is high and informative.
  • Our engine has discovered that over 90% high quality reviews are present.
  • This product had a total of 6,128 reviews as of our last analysis date on Oct 17 2024.

Helpful InsightsBETA

The AI used to provide these results are constantly improving. These results might change.

    Posted by a reviewer on Amazon

    Also the ending is excellent so read all the way through


    Posted by a reviewer on Amazon

    Has come up with some good and original methods for ascertaining what people really think about delicate or taboo topics


    Posted by a reviewer on Amazon

    For someone who works in data science field there is nothing really new there except for some good examples


    Posted by a reviewer on Amazon

    It is however clear that it is written by an economist with bias towards traditional methods applied to large data


    Posted by a reviewer on Amazon

    It is at best weak in parts where machine learning methods should be described


    Posted by a reviewer on Amazon

    But i liked about the book was that it was plainly written and easy to see that big data can be deceiving


    Posted by a reviewer on Amazon

    The author really emphasizes how surveys only cover a very small amount of any population and how people usually dont answer them honestly but rather in ways that they think will make them look good or feel good

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Please note: The content is generated by an AI language model based on reviews. We are constantly improving the accuracy, however, its outputs may contain errors or offensive content from certain reviews. Please report any errors or offensive content to us. Also, please note that we will not collect your questions unless you click the thumbs up/down button to provide feedback. The answers displayed will be stored by us so if another Fakespotter asks a similar question we can provide them an answer faster. Your feedback will only help us make Fakespot Chat better! By using Fakespot Chat, you agree to Fakespot's terms of use and privacy notice.

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