Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

I got a very different impression of this method than you did because I saw it as, just as with an A/B test, when you make a major change to the site, you reset your counters. This makes your point #2 mute. As for number 5, why couldn't you use the same cohort analysis with this method?


moot.

mute == "does not talk"

moot == "of little or no practical value or meaning; purely academic."

moot/mute is a tricky word combo because smart people can justify using "MUTE" instead of moot, and english is such a terrible language w.r.t. spelling there are no good clues to use one versus the other (and "moot" is far less commonly used).


Off-topic: Most of the time, such grammar/spelling corrections get downvoted because people think they are nitpicking and don't add anything to the conversation, or are rude somehow, but as a non-English, I appreciate them a lot!


What is a major change?

I've seen minor tweaks to a form raise conversions by 20%. The person running a particular test may not even know that a particular change was significant, or even that it happened. The change could be as subtle as another running test realized that version x is better, interfering with existing tests.

As for #5, with an A/B test you run into these situations, you're able to break down and crunch the numbers in multiple ways, and then have a discussion about how you want to proceed. But with a multi-armed bandit approach whatever complexities you have not thought of and baked into your approach, are not going to be noticed.




Consider applying for YC's Fall 2026 batch! Applications are open till July 27.

Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: