What Are the Common Types of Misleading Information?
Several types of misleading information are prevalent in epidemiology:
False Causation: Claiming a causal relationship between two variables without adequate evidence. Data Manipulation: Altering or cherry-picking data to support a specific agenda. Misinterpretation of Statistics: Misunderstanding or misrepresenting statistical data, such as relative risk or p-values. Overgeneralization: Applying findings from a specific study to a broader population without justification.
