Availability Heuristic: This heuristic is when we estimate the likelihood of an event based on how readily examples come to mind. For example, if you hear about multiple car accidents in your neighborhood, you might overestimate the likelihood of getting into a car accident yourself.
Representativeness Heuristic: This heuristic is when we judge the likelihood of an event based on how well it matches our preconceived prototypes or stereotypes. For instance, assuming someone who wears glasses must be intelligent because they fit our stereotype of smart people.
Confirmation Bias: This bias is when we seek out information that confirms our existing beliefs and ignore evidence that contradicts them. It can lead us to overestimate the likelihood of events that align with our preconceptions.