Super Crunchers: Why Thinking-by-Numbers Is the New Way to Be Smart Audiobook

" Popularized stats. Great read. Accessible to and useful for anyone these days- consumers, marketers, researchers, patients, policy makers. Excellent anecdotes to show how powerful data mining can be. "

" Great book...the parts I did understand ..however it is easy to read, much made sense even for a non statistician like myself. "

" Nothing too new or mind-blowing. It was fun to read about how some people crunch terabyte level datasets and how businesses use consumer preference analysis. "

" This is really interesting and for someone who's not into figures at all I liked discovering what is found out by studying vast numbers... it does tail off towards the end. I kind of feel sorry for the authors little girl who sums up life as an equation - but hey, each to their own. (It was probably because that went over my head!). "

" A less clever, and more number intensive, Freakonomics "

" Not bad, but much of it I've seen elsewhere in the few years since its publication. "

" Engaging and smart, with well-elucidated examples and amusing anecdotes to punctuate the text. Worth reading just to start thinking about all the different ways statistical analysis influences and informs our lives. "

" Very well written book. Similar to Freakonomics. "

" A qualitative book about the value, outcome and use of a highly quantitative field of statistics. What more could a tree-hugger like myself want? "

" Fun intro to world of data driven. "

" A plethora of great examples, including bill james, freakonomics, etc., but the section on when computers (and the people who program them) get it wrong could have been more detailed. for example, why does my credit card call to alert me of fraud every 10th time i shop at my local grocery store. "

" Written before the terms "big data" and "data science" came into vogue, this able survey of the field is fine for a lay person's introduction, but has just enough misstatements to make an expert cringe. I'd recommend it to a family member, but not to a colleague. "

" I wish they gave more way to apply this to our everyday, but the concepts were very interesting. Again, this could have been summed up in a shorter fashion since the same ideas were continually presented. "

" Great book! A great way to look at data. Gave me lots of great questions to ask at work. "

" Introduction level reading about statistics. "

" This was recommended to me by my boss. He lent me his copy and I took this out to San Francisco on a trip. It was well worth the read. While it got a little too much into the hard math at the end, it was a real eye opener regarding how statistics influence our lives. "

" Good introduction, but very, very basic if you work with computers. Data analysis has been done for a while now. "

" Talks about how data crunching has changed things, but did not discuss the details behind the analysis. The beginning of the book seems much more thought out then the ending. "

" Ian Ayers is a very bright guy who works with huge datasets and Gaussian distributions. I was given this by Jeffry along with The Black Swan. It felt like being in the middle of an intellectual shouting match. Fun book, and Ayers writes with an easy, readable style. "

" Pretty good primer, but lacks a little depth "

" The latest "next Freakonomics", and I felt pretty similarly about this book -- there were lots of interesting anecdotes, but I'm enough of a nerd that I actually wanted to see the details of the statistics and the data rather than just hear the cocktail-party version. "

" This was a disappointing read. The whole thing can be summed up with "databases make it useful to analyze data (sometimes the results are different than what you would expect). The end." "

" This is better than a borrowed Christmas book. It is, in fact, Jon's Christmas book which he read and gave back to me to donate to the library. I had to read it first, of course. I can't believe I actually enjoyed reading a book about numbers...what is the world coming to? "

" Introduction level reading about statistics. "

" Really titillated my inner nerd. I refer to it too often, definitely captured my imagination. "

" Good introduction, but very, very basic if you work with computers. Data analysis has been done for a while now. "

" Very mind opening. This book effectively convinces you that you must learn to look at the data. Like it or not, you are going to make a lot of bad decisions if you don't. "

" Similar to "freakonomics". Perhaps the most significant case study was the reality that medical record digitization and consequent data mining is not only efficient but has saved hundreds of thousand of lives. "

" Note to Ian Ayres: If you're gonna plagiarize, at least plagiarize stuff that makes your book tolerable. "

" It is a good book to know more about how the industry uses our data. But it is not a technical book, no statistics nor maths, so if you like theory, you might get bored at one point. But as scientific divulgation it is a very good book. The brazilian edition has some errors, though. "

" I read it a couple of years ago. Never thought economics could be this much fun. Its not going to be my favourite of all time. "

" this is an excellent book showing how accumulation of data to find relationship for good decision making for long-term horizons. "