The article discusses how people don't always make decisions based on clear probabilities, leading to ambiguity and a preference for known risks over unknown ones. This challenges traditional ideas about how we make choices when we're uncertain. The researchers review past theories and experiments on this topic, including famous examples like the urn paradox. They also explore different models that try to explain why people tend to avoid ambiguous situations. Overall, the article sheds light on how our aversion to ambiguity influences our decision-making processes.