Is Statistical evidence the same as truth?

Answer 1

No.

Good statistical evidence is very clear about how likely it is to be 'correct'. Data can be delivered with (say) a 95% confidence, or a 99% confidence. In general, the bigger the sample you use, the more likely the answer is to be 'correct'.

There is always a small chance that it will not be 'correct'.

If your sample is 100% of the population, you can say with 100% confidence that you are presenting the truth. But the whole point of statistics is to avoid the cost of a 100% sample, and to be able to infer what the population would answer without needing to ask all of them. The accuracy of this inference depends on: the sample size, the number of questions asked, the actual phrasing of those questions (are they negative, positive, or neutral?), the reason for the survey in the first place, and the interpretation of the results. Statistics are easily manipulated, especially if the sample size is small, there are few real choices offered, and there is no option for "Comments" or "Other". The old saying "You can prove anything by statistics" is correct.

Answer 2

Statistical evidence is not the same as truth. Statistical evidence provides information about probabilities and patterns, but it is not always definitive proof of truth. Truth often requires additional evidence and context to be fully understood and accepted.