Description: Falsified data refers to information that has been deliberately altered or fabricated to present misleading or incorrect information. This phenomenon can occur in various fields, including scientific research, statistics, journalism, and politics. Data falsification can manifest in several ways, such as manipulating figures, creating fictitious data, or omitting relevant information. The relevance of falsified data lies in its ability to distort reality, influence decisions, and generate distrust in institutions. In a world where information is increasingly accessible, the integrity of data becomes a fundamental pillar for informed decision-making. Detecting falsified data is a constant challenge, as it often presents itself convincingly and can be difficult to identify without rigorous analysis. Ethics in data collection and presentation are crucial to maintaining credibility and trust in statistical results and research in general.
