Interesting data is probably wrong

Mike Cisernos blends a personal story with practical lessons about data humility, careful checking, and the responsibility that comes with sharing insights. Rather than discouraging curiosity, he encourages you to treat interesting results as hypotheses to be tested – not conclusions to be broadcast. If you want to improve your analytical rigor and tell more accurate, trustworthy data stories, this article will change the way you pause, question, and verify before you publish.