yeah that's fair. i should have said "a large proportion of the 0/10 reviews i looked at" and even then i admit that there is no perfect way to determine what i

yeah that's fair. i should have said "a large proportion of the 0/10 reviews i looked at" and even then i admit that there is no perfect way to determine what is and isn't a fake review. i guess i have very little faith that any platform does any work to combat review bombing so i take a very skeptical look at anything i see. i'd also wish for more powerful user tools to automate some of the things that looked suspicious to me such as filtering the score to exclude new accounts, accounts which have only reviewed one thing, reviews that are just the exact same sentence, reviews which have tons of "helpful" reactions the moment they are posted.