A vs B
📋 What it is
An A/B test compares two versions by changing exactly ONE thing (say, the thumbnail) and keeping everything else equal, so any difference is caused by that one change.
🗣️ Coach says
Want to know if a new thumbnail is better? Show version A and version B, change ONLY the thumbnail, and compare. If you also changed the title AND the time, you will never know which one worked. One variable at a time.
🧠 Memory hook
A/B test = change ONE thing, keep the rest equal. Then the result has one cause.
😂 Giggle
Why was the outlier so lonely?
It never fit in with the rest of the data!
😲 Whoa!
Big platforms run thousands of A/B tests at once — even a button's shade of blue has been A/B-tested for millions in extra clicks.
✅ Quick check: You test two thumbnails but ALSO change the title on version B. Why is the test broken?
Say your answer out loud first — then reveal.
Two things changed at once — if B wins, you cannot tell whether the thumbnail or the title caused it.
A fair test isolates one variable; changing two confounds the result.
🧪 Try it! (2 minutes)
Design an A/B test for a post title — write version A, version B, and what you keep identical.