Anyway, all i'm saying is its not terrible. People who watch reviews on release should know there is no reliability to talk about unless the reviewer spends the effort to 'accelerate' these - e.g. Fold testing foldable phones and counting them.
Take a look at my country's (Singapore) arguably #1 e-commerce platform and you'll notice something even more mindblowing - platform-generated, ai-generated reviews. And no, its not the sellers, most of them have even voiced their frustrations that they dont even have an option to block these 'ai-generated reviews' on their products. Yes, there are ai-generated humans wearing ear0hones clipping through ears, on the complete opposite directions and telling you how awesome the product is. Truly dystopian.
Most reviewers simply can't evaluate products over a sufficiently long term to make convincing judgements about reliability. Where the latter is important, it's better to consult a source like consumer Reports that specializes in that sort of longitudinal assessment at the price of narrow product focus and shallower review detail.
But ultimately, for reviewers, what matters is that they “make a living through reviews,” so they have to say things that fit the fanboy tier they’re targeting.
The problem is that fanboys are generally people who buy more devices to begin with, so they also judge reliability based on the existing product lineup, and reviewers are largely the same. As a result, they can’t help but judge mainly by new features.
To be precise, “reliability” requires predicting the future, and that’s not easy. How would you know if your computer might break tomorrow? There are serious hinge issues with the iPhone Duo right now—how would people buying it have predicted that?
Prediction is basically break-even even when you’re right, and easy to criticize when you’re wrong, so it’s a hard attribute for reviewers to review.