plausibilitätsprüfung

Plausibilitätsprüfung, often translated as plausibility check or reasonableness test, is a process used to determine if a given piece of information, a statement, or a result is likely to be true or valid based on existing knowledge and common sense. It is a fundamental aspect of critical thinking and is applied in various fields, including science, engineering, data analysis, and everyday decision-making.

The core idea behind plausibilitätsprüfung is to assess whether something aligns with what is expected or known to be true. This can involve comparing new information to established facts, identifying inconsistencies, or evaluating whether a conclusion logically follows from its premises. For example, in scientific research, a plausibility check might involve examining if experimental results are consistent with established physical laws or previous findings. In data analysis, it could mean verifying if a dataset contains values within a reasonable range or if trends observed are statistically sound.

A plausibilitätsprüfung does not necessarily require complex mathematical calculations or rigorous statistical methods, though these can enhance its effectiveness. Often, it relies on qualitative judgment, intuition, and domain-specific knowledge. The goal is not to prove absolute truth but to identify potential errors, anomalies, or exaggerations that warrant further investigation or rejection. It serves as a preliminary filter, helping to separate credible information from dubious claims and ensuring that subsequent actions or decisions are based on a reasonable foundation.