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To really understand what sets *pseudoscience* apart, let’s dive into some of its defining characteristics. One of the most significant red flags is a lack of **empirical evidence**. In genuine science, hypotheses are tested through experiments and observations, and conclusions are based on the data collected. *Pseudoscience*, on the other hand, often relies on anecdotes, testimonials, or selectively chosen data that supports the claim while ignoring contradictory evidence. Another common trait is a resistance to **peer review**. Scientific findings are typically subjected to scrutiny by other experts in the field before being published. This process helps to ensure the validity and reliability of the research. *Pseudoscience* often avoids or dismisses peer review, as it's unlikely to stand up to critical examination. Furthermore, *pseudoscience* frequently exhibits a lack of **falsifiability**. A scientific theory must be capable of being proven wrong through testing. If a claim is so vague or flexible that it can accommodate any outcome, it's not truly testable and therefore not scientific. *Pseudoscience* often employs explanations that can be bent to fit any scenario, making it impossible to disprove. Lastly, *pseudoscience* tends to ignore or reject conflicting **evidence**. In science, when new evidence emerges that contradicts a theory, the theory must be revised or abandoned. *Pseudoscience*, however, often clings to its beliefs despite overwhelming evidence to the contrary, often employing ad hoc explanations to dismiss inconsistencies. Recognizing these characteristics can help you distinguish between genuine science and its imitators.
