1. Around the World in 80 Trees by Jonathan Drori
2. Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are by Seth Stephens-Davidowitz
In Everybody Lies the author sets out to show the reader what we can learn about ourselves from our casual internet searches. I found it funny, illuminating and incredibly interesting. I don't know how the content in this book holds up in terms of statistical validity or scientific methods of research, but it is definitely very engaging and peaks one's interest about big data. I highly recommend it to anyone remotely interested in data science. I listened to this book on audio, and even though I enjoyed it, in hind sight, I think it would be better to read it on paper as the author mentions various graphs and charts that are in the book. I gave it 4 out of 5 stars.
3. The Knowledge Illusion: Why We Never Think Alone by Steven Sloman and Philip Fernbach
This is another non-fiction title that would appeal to a broader audience. It is written by two cognitive scientists who examine the so-called knowledge illusion: our perceived sense of understanding how the world works. They slowly layer by layer peal away that illusion demonstrating how little we understand the mechanics of most common place items (such as a zipper or a toilet) or the nuances of some of the most controversial sociopolitical issues of the day. This has also been quite illuminating and humbling. 5 out of 5 stars.
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