9 articles in this category
You're ruining your A/B tests by peeking. Here's how to stop, why sequential testing helps, and why you need to pre-commit to a sample size.
Peeking at results can inflate false positives to 30%. Learn why fixed-horizon tests fail and how sequential testing keeps your A/B tests honest.
Peeking at A/B test results can inflate false positives to 30%. Learn how to pre-commit to sample sizes, use sequential testing, and trust the process...
Peeking at an A/B test inflates false positives up to 30%. Sequential testing, as used by Optimizely, keeps results honest. Here's why you should neve...
Peeking can inflate false positives to 30%. Pre-commit to a sample size, or use sequential testing to get valid results faster.
Peeking at A/B test results destroys their validity. Learn the right way to run tests, when to stop, and how to get reliable answers faster.
If you stop your A/B test the moment it hits 95% significance, you're fooling yourself. Learn why peeking is dangerous and how sequential testing fixe...
Fixed-horizon A/B tests are broken. Peeking inflates false positives to 26.1%. Sequential testing is the fix. Here's why you should switch.
Peeking isn't the real issue—it's the fixed-horizon stats most tools use. Sequential testing lets you peek without inflating false positives. Here's h...