Report Z-test Validations & `DropInfo` Self-adoption about backend-next HOT 1 OPEN

On the point of view of attack prevention, we could run a two proportion z-test, which allows us to compare two proportions (in our case, they could be reports categorized by IP or account) to see if they are the same. If the result shows that two proportions are not the same, we have reason to suspect that one of the proportion is false.

And we may not state the null hypothesis based on the first n reports, instead, we could state it based on first n groups of reports, which reports can be grouped by IP, account or report method (by recognition or manually). Thus, our dataset wouldn't be affected by a huge count of reports from a single source.

from backend-next.