If I had to summarize Thinking, Fast & Slow up in one sentence: human intuition shouldn't be trusted when it comes to statistics problems, because humans aren't naturally statistical thinkers.
All of the research in the behavioral economics category shows this pattern very well. GPA distribution among populations is statistically quantifiable. Due to human cognitive biases, however, it appears to be a problem that has an obvious answer by intuition, and that answer is wrong.
The specific three qualities that are outlined as giving way to intuition boil down to having a large body of evidence and a very tight feedback loop, which statistics does not have but things like emotion reading do have. If you get the emotions of your significant other wrong you'll immediately see the repercussions. Casually misjudging someone on the street because of statistics will never see you being corrected.
But really, I think you should just read the book. This article doesn't even come close to doing behavioral economics justice.