MOST COMMON FALLACIES: #10 HASTY GENERALIZATION Definition and explanation: The hasty generalization fallacy draws a broad conclusion based on a small sample. All day, every day, we use limited information to generalize. By definition we have to, as we will never have fully complete data sets to analyze for each and every decision. However, the strength of our conclusion depends on our sample: those based on larger and more representative samples are significantly stronger than those based on sm

Generalization vs Specialization in DBMS: Key Differences Explained