Unfortunately, there are way too many variables for real life tests to be statistically significant with small samples. Even if 10 persons tell you how fine a tire is it doesn't mean much especially if the group of people isn't randomized. You could have for instance 1000 persons telling you how fine their tires are but when you look at the testing conditions that their tires had to handle you realize that they are too similar for instance weight less than 120lbs, ride all ultra light racing bikes, that their tires encounter rocks on the road at the same low rocks/mile frequency etc. Usually, the more randomized the better in experiments which means that heavy persons, light persons, riding in all weather conditions, with any level of tire pressure, for all kind of bike use inside the specified design limits etc.. come and tell you how good their tires are. Even then there is no guarantee due to psychological bias. Only well made double blinded studies could tell you something. There are also lab tests but lab tests are what they are. In the end for yourself the result doesn't mean a thing for your specific use but for lack of better...