Hacker News new | past | comments | ask | show | jobs | submit login

The problem here is that the underlying and unknown correlations in the sample (aka people) is that they are NOT independent.

The larger sample sizes are a ... sort-of "proxy" ... to overwhelm underlying latent correlations.

The whole thing is actually a subtle sort-of generalization of the "Prosecutor's Fallacy".

So skepticism with the small sample sizes is absolutely warranted, unless some strong evidence is shown indicating mechanism-based independence.




I feel like you’re taking a very roundabout way to describe the concept of sample bias. So long as it’s a random sample, this is accounted for in the statistics. Yes, we should still get more data all the same.




Consider applying for YC's Spring batch! Applications are open till Feb 11.

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

Search: