What Is P-Hacking in A/B Testing? (And How to Stop It)

P-hacking in A/B testing means manipulating your experiment data until statistical significance appears. This is a byproduct of Goodhart's Law: optimizing for test wins rather than insights learned. P-hacking often results from succumbing to pressure. Pressure to demonstrate wins, ship improvements quickly, maintain a high testing velocity, etc. For a detailed look at how to prevent p-hacking with Convert's statistical guardrails, read "How to Prevent P-Hacking in A/B Testing (Using Convert)" by Uwem Usa on the Convert Blog: https://www.convert.com/blog/a-b-testing/how-to-prevent-p-hacking-convert/ ___________ Convert Experiences is the only Climate Neutral Certified A/B testing platform, built to support ethical experimentation and elevate optimizers—not just tools. We champion conscious CRO through education, advocacy, and our #teamovertools movement. ✨ Trusted by over 40,000 sites 🌍 Fully HIPAA, GDPR, CCPA, SOC 2, ISO27001 compliant without compromise on speed or flexibility 🧠 Backed by 15+ years of CRO expertise and real human support—not just tickets ___________ CONVERT WEBSITE ⭐ Learn more about Convert Experiences: https://convert-content.com/pricing ⭐ Join the monthly newsletter: https://convert-content.com/newsletter ⭐ Visit the Convert Blog: https://convert-content.com/convert-blog SOCIAL MEDIA ⭐ Follow on LinkedIn: https://convert-content.com/linkedin ⭐ Follow on Twitter: https://convert-content.com/x