a data-driven book review of 5 years of goodreads

10
I Books Nick’s Goodreads Data, July 2016

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Page 1: A Data-Driven Book Review of 5 years of Goodreads

I Books Nick’s Goodreads Data, July 2016

Page 2: A Data-Driven Book Review of 5 years of Goodreads

I read a book per week on average

Page 3: A Data-Driven Book Review of 5 years of Goodreads

I’ve read 236 books since 9/2011 (244 weeks)

Page 4: A Data-Driven Book Review of 5 years of Goodreads

I read about 50 pages per day

Page 5: A Data-Driven Book Review of 5 years of Goodreads

I read about half fiction and half non-fiction

Page 6: A Data-Driven Book Review of 5 years of Goodreads

30% of the fiction I read is SF

Page 7: A Data-Driven Book Review of 5 years of Goodreads

I read a range of non-fiction, but a lot about business

Page 8: A Data-Driven Book Review of 5 years of Goodreads

I rate books 0.625 lower on average than others

of Nick’s Ratings
Page 9: A Data-Driven Book Review of 5 years of Goodreads

My top ~10 favorites, and one to avoidTitle Author Rating

A Planet for Rent Yoss 5

Siddhartha Hermann Hesse 5

If on a Winter's Night a Traveler Italo Calvino 5

A History of the Future in 100 Objects Adrian Hon 5

The Luminaries Eleanor Catton 5

The Unincorporated Man Dani Kollin 5

Antifragile: Things That Gain from Disorder Nassim Nicholas Taleb 5

Measure of the Earth Larrie D. Ferreiro 5

The Count of Monte Cristo Alexandre Dumas 5

Barbarians at the Gate Bryan Burrough 5

Steve Jobs Walter Isaacson 5

The Lean Startup Eric Ries 5

The Inevitable Kevin Kelly 1

Page 10: A Data-Driven Book Review of 5 years of Goodreads

Recency bias vs. Lindy effect