statistical fallacies

Statistical fallacies are common mistakes or misleading interpretations that occur when analyzing or presenting data. They include misunderstandings like assuming correlation means causation, misrepresenting data to favor a point, or drawing broad conclusions from limited samples. Such errors can lead to false or biased conclusions, confusing the true story the data is telling. Recognizing these fallacies helps ensure more accurate, honest interpretation of information, avoiding misleading conclusions based on flawed reasoning or presentation errors.