4.0

This is a very easy book to read. The whole book is about big data with a lot of practical examples of how it's used to solve everyday problems. This book is not a primer on developing big data datasets but shows the reader how data scientists make use of the data and some of the insights they can get from big data.

This book deals with how big data can be used to learn about people at a particular place and time. I learnt a lot of things about people and society with a lot of accepted norms being shown to be false by data. Oh yes, people always think the best (or worse) of themselves and others but the data show a totally different picture. Hence the title, everyone lies...except to a search engine.

Besides all the good new research that can be done with big data, the author shows the limitations of using big data and the difficulty of using correlation for causation. The type of datasets is important. More data is not always the answer but the right kind of data is important.

It's a fun book and I highly recommend it, even if you are not a data scientist.