[sandgiant]

There might be someone able to better explain this, but one way it could work wold be to say that for small samples any bad assumptions you make (such as variables or measurements being independent) will affect the result more than if you had a larger sample.

The assumption I make to make this work is that dependencies are more likely to be drowned out by internal variation in a larger sample. So you get to pick which assumption you like better.