For example,
- "Much of what we call "big data" was never meant to be accurate, and because so much of it is shared, any inaccuracies can be hard to keep track of. Even unbiased data can point to trends that no longer exist, or paradigms that are about to change." ...
- "The larger our pool of information, the more chance patterns we're likely to find in it, and the easier it becomes to "prove" whatever we like." ...
- Big data makes it even harder to remember that there things we do not know: "We are trained to take advantage of the information that is lying in front of our eyes, ignoring the information that we do not see." ...
From "Does big data have us 'fooled by randomness'?"
Andre Mouton, Minyanville, August 19, 2013, via USAToday
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