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normalcy_bias
Normalcy bias is the tendency to underestimate the possibility and impact of a disaster or disruptive event because it has never happened before or has not happened recently. People assume that things will continue to function normally and have difficulty processing warning signs of impending catastrophe, leading to inadequate preparation and delayed response.
Residents in a flood zone ignore evacuation warnings because 'it has never flooded this badly before,' even as water levels rise to unprecedented heights. They continue normal activities until escape routes are cut off.
Employees at a company that has never experienced a cyberattack repeatedly postpone implementing recommended security updates, reasoning that 'we've been fine so far.' When a ransomware attack finally hits, critical backups are months out of date.
Passengers on a cruise ship that begins listing to one side remain seated in the dining room finishing their meals, assuming it must be a minor mechanical issue, because nothing serious has ever happened on a cruise before — delaying their evacuation by critical minutes.
Binary (yes/no) questions an LLM must answer to identify this aspect:
Does the reasoning dismiss a risk because it has not previously materialized?
Type: binaryIs there an assumption that current conditions will persist indefinitely?
Type: binaryAre warning signs ignored because the worst case seems unprecedented?
Type: binaryNormalcy bias is the tendency to underestimate the possibility and impact of a disaster or disruptive event because it has never happened before or has not happened recently. People assume that things will continue to function normally and have difficulty processing warning signs of impending catastrophe, leading to inadequate preparation and delayed response.
The brain uses past experience as the primary model for predicting the future. When a situation has no precedent in personal experience, the brain defaults to 'normal' and actively discounts abnormal warning signals to maintain psychological equilibrium.
Take warning signs and expert assessments seriously even when they describe scenarios outside your personal experience. Develop and practice emergency plans before they are needed, treating rare events as genuinely possible.
Normalcy bias contributed to delayed evacuations during Hurricane Katrina, the slow response to the 2008 financial crisis warning signs, and the initial dismissal of COVID-19 as 'just another flu' in many countries.
Use these tools to detect, analyze, or train this aspect.