Comprehensive guide to probability of Type 1 error (false positives) in statistical testing. Learn how alpha levels, multiple testing, and data dredging affect error rates, with real-world examples from pharmaceuticals and tech. Includes control strategies, industry benchmarks, and ethical considerations for researchers.