Dark Data: Why What You Don’t Know Matters

This Post Has 7 Comments

  1. Open your mind
    David Hand explains the pitfalls of analyzing imperfect data sets.No one can access all the facts, because it data is missing, hidden or change over time. Jumping to conclusions can be hazardous.

  2. Good book to understand statistics
    I listened to the audiobook and found it interesting. I just got the book. So, I am going to read it for understanding. I think there is lot to absorb.

  3. A book that didn’t need to be written
    This is not a bad book: it does not deliver misinformation, it is not poorly written and it provides plenty of historical examples of situations where data was in fact missing. But that’s about it…it’s kind of like if you opened Wikipedia to a totally random page, and then just kept clicking from one link to another for 300 pages. “Here is a situation in history where they didn’t have 100% of available data. And here’s another one. And here’s one over here. Fast forward 100 years and here’s a case where they didn’t have all of the data. Rewind 50 years and here’s another example. Here’s an example in the medical field, and here’s one in physics.” The end (no conclusions were drawn in the writing of this book).

  4. Upset about the quality of the new book
    This book isn’t as bad as the last, but seriously, handle with better care! It’s too close to Christmas to exchange them and that’s extremely upsetting!

  5. Professor David Hand is a major statistician who writes useful and interesting books for audiences from the general public up to the graduate statistician expert. He write clearly and gives lots of interestim examples. This book provokes the statistical practitioner to think about the data she is *not* seeing, as a way of not falling into certain kinds of error. Very useful and interesting.

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