My research project (Seeing What Others Don’t, 2013) examined 120 examples of insight to try to find some common themes. The one unifying theme was that insights involved a shift in core beliefs.

I have discussed some of these false assumptions in previous posts from 7/14/14, 8/9/16, and 5/22/17, but will cover those again in this series with some more recent examples.

Research Leader of Small-scale Fisheries at WorldFish, CGIAR, and Adjunct Research Fellow at ARC Centre of Excellence for Coral Reef Studies, James Cook University Jacqueline Lau works for ...

The common assumptions made when doing a t-test include those regarding the scale of measurement, random sampling, normality of data distribution, adequacy of sample size, and equality of variance ...

For example, while analytics was in the top three spending categories for US banks, only 20% of banking executives wanted their organizations to be highly data-driven.