I am teaching an undergraduate course in research methodoloy (social sciences) for aspiring teachers and I usually start with explaining, why scientific methods are important to deal with cognitive bias, when judging, if a supposed fact is actually true.

In the last year I almost exclusively focussed on hindsight bias as an example, but I would like to expand the list.

Until now I came up with the following list of biases which I consider the most "useful" for "justifying", to use and rely on scientific methods (and a basic knowledge of statistics) rather than one's own judgement:

  • confirmation bias
  • anchoring bias
  • hindsight bias
  • availability heuristic

and maybe (mainly for statistics)

  • clustering illusion
  • illusory correlation

I would love to hear the opinion of others if

a) those seem appropriate

b) I'm missing out on more/equally important biases?

Best regards

Michael

More Michael Beck's questions See All
Similar questions and discussions