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by friendofasquid 4905 days ago
I do this when I'm not confident I set up the experiment correctly. If the A's differ bit quite a bit, it's more likely I made a mistake than there's is normal statistical variance. I make mistakes daily.

I think that's pretty sensible reason for A/A/B testing. Or A/B/B testing. Whatever you like.