Good enough IS good enough.

There is an old saying that “Good enough, never is.” While there is much wisdom to that saying, things are changing.

In the day of ‘big data’, the saying is revised by Pat Helland who writes, “If you have too much data, ‘Good enough is good enough.'”

In their book “Big Data,” Viktor Mayer-Schoenberger and Kenneth Cukier explain that when you are dealing with massive amounts of data, as opposed to much smaller samples, occasional errors become less significant. Statistics is becoming less about samples describing the population and more about the population revealing its secrets to new methods of big data analysis. Storing massive amounts of data, and using it to reveal correlations, linear and non-linear, is now replacing hypothesis testing in statistics.


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