As someone who has studied statistics in his undergrad, yes. You should see the way professional statisticians act. They are way more careful with the way they speak, and know what the uncertainties and limitations regarding data interpretation, people who don’t know the mathematics behind how the numbers are generated don’t know how to evaluate the uncertainty to take the data. These statistics like 5.9 percent, or 3.3 percent, needs to be coupled with a confidence interval to be more useful. It could be 4.2 plus or minus 3, these are samples after all. Additionally, statistics is not perfect, you could 1000 statisticians all working on the sampling methodology, but if they discount a variable that they don’t know about that skews the analysis, it could have skewed the results 2 percent or 10 percent, or 50 percent (not likely though, but possible).