When faced with studies that seem to show opposite results, my default strategy is to assume both studies are correct and look for something I can learn from that. For instance, maybe they study two different countries and suggest a difference between those countries. Or maybe they have measured different things and you can learn about important nuances. Or… maybe one of the studies is P-hacking their way to victory. In any case, the devil’s in the details.
When faced with studies that seem to show opposite results, my default strategy is to assume both studies are correct and look for something I can learn from that. For instance, maybe they study two different countries and suggest a difference between those countries. Or maybe they have measured different things and you can learn about important nuances. Or… maybe one of the studies is P-hacking their way to victory. In any case, the devil’s in the details.