FeedDiscussion
Jayesh Sojitra
Your framing that bias "shows up as a pattern across many outputs, not a single obviously wrong answer" has a practical consequence worth naming: your advice to test explicitly with varied inputs has an established method with a name. For the hiring and lending cases you flag, it is paired testing, run the same resume or application through the model many times varying only the name, gender, or postcode, and compare outcome rates across the pairs. It is cheap to automate and turns "I noticed a pattern" into a number you can act on or escalate. The follow-up your everyday-use advice needs is sample size: two or three reworded questions will show random variation that looks like bias, so a pattern is only signal once it survives a few dozen paired trials. Would be a strong Day N topic for the series: how many samples before a vibe becomes evidence.
thank you. "Paired testing" is the precise term for what I was gesturing at with "test explicitly with varied inputs," and you're right that naming the method is what actually makes it actionable instead of just a vibe.
The sample-size point is the sharper catch, honestly. I flagged "look for a pattern, not one weird answer" but never quantified it — and you're right that 2-3 reworded questions is well within the range of random variation, not signal. "A few dozen paired trials" is a much more useful bar than what I gave readers.
I'd like to build "How many samples before a vibe becomes evidence" into the series properly — full methodology, worked example, the works. Would you be open to being credited for the idea (and the paired-testing framing) when it goes up?