Comment by jdw64

12 hours ago

Because reviewers don’t use things for long, while owners usually do. So reviewers generally tend to fixate on new features by default.

Which is why the long-term reviews make much more sense.

The car reviewer needs to get over the honeymoon phase of this new shiny gadget.

[flagged]

  • Ridiculous argument. Reviewers' task is to evaluate new products to provide information to consumers in a timely fashion. There's a niche for 'long term reviews' but it's tiny by comparison, and mainly sought out by nerds who are unusually interested in that product category.

    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.

  • I understand your point but I can't expect a single sample review for a new product to contain anything useful in regards to reliability.

  • Rather than taking incompetence for granted, it’s because—as the article also says—motivations differ, and it’s difficult to judge factors like warranty handling or updates. And fundamentally, “reliability” is broad. That’s even more the case for combined hardware-software products. Ultimately, Reddit is basically where people with complaints go, and reviewers themselves have bias too, but consumer complaints also largely come from people whose products broke, so it’s difficult to judge.

    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.