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Statistics feel like proof, which is exactly why flawed arguments and propaganda lean on them. Against the habit of taking numbers and expert endorsements at face value, the case here is to interrogate context, assumptions, and reasoning before believing any figure. Read data that way and manipulation becomes far easier to spot.

Regular expressions are powerful tools for matching and validating text, but they require careful construction to avoid errors and performance issues. This collection presents practical patterns for common tasks like email and IP address validation, explains how to use anchors and assertions to control matches, and highlights strategies to prevent security risks such as catastrophic backtracking. It also covers Unicode-aware techniques and testing methods to ensure reliable and efficient regex usage.