When is prediction safe and unsafe?

Answer 1

Prediction is considered safe when it relies on robust data, established patterns, and sound methodologies, allowing for reasonable confidence in the outcomes. It becomes unsafe when it is based on insufficient or biased data, lacks transparency, or involves complex variables that are poorly understood, leading to high uncertainty. Additionally, predictions can be unsafe if they ignore contextual factors or potential changes in underlying conditions. Careful validation and continuous monitoring can help mitigate risks associated with prediction.