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> The consequences of getting it wrong are... you sell fewer widgets?

If that’s the difference between success and failure then that is pretty important to you as a business owner.

> do no harm, see if we're heading in the right vector, and trust that you can pivot if it turns out you got a false positive

That’s a reasonable, and in plenty of contexts the absolute best, approach to take. But don’t call it A/B testing, because it’s not.


Jemaclus
Absolutely. If you're the business owner, selling fewer widgets is Very Bad!

But in my post, I specifically called out a line in OP's article that I disagreed with: (paraphrasing) "Your startup deserves the same rigor as medical testing."

To clarify -- and support your point --, we're shipping software, not irreversible medical procedures. If you get it wrong, you sell fewer widgets /temporarily/ and you revert back to a known better solution. With medicine, there aren't necessarily take-backsies -- but there absolutely are in software. Reverting deploys is something all of us do quite regularly!

Is it A/B testing? Maybe, maybe not. I'm not a data scientist. But I think saying that your startup deserves the same rigor as a medical test is misleading at best and harmful at worst.

I just think companies should be more okay with educated risks, rather than waiting days, weeks, months for statistical significance on a feature that has little chance of actually having a negative impact. As you said elsewhere in the thread, for startups, stasis is death.

(BTW, I've read a lot of your other comments in the thread. I think we're pretty well aligned!)

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