How extensively do you feel you rely on pattern recognition to assess the credibility of a prediction?*
e.g. If a weather forecast suggests the occurrence of familiar/recognisable pattern of weather at a particular time of year (such as summer storm fronts) does that suggest an increased likelihood of accuracy to you in model predictions?