Skip to content

Comment on Why Most Startups Are Doing Data-Driven Decision Making Wrong

Comments

This is a pretty thin article - as far as I can tell entire article boils down to "apply a statistical test" to ab test results?? The four step process laid out doesn't magically protect you from confirmation bias, for example there are ample opportunities for it to manifest while "identifying the ideal data".

The toy example provided is actually a perfect example of why tools (like chat gpt) can't protect you from fucking this up. Why is the view count so different between versions a and b? Was the test set up as a 60-40 split, or had you intended it to be closer to 50-50? Does the massive increase in conversion rate pass the smell test? If anything seems suspicious, you probably should do some further investigations...

AboutSource Built by g1lg1l

Hackerly is an independent reader for Hacker News, built on the public HN API. Not affiliated with Y Combinator.