The weaker the data available upon which to base one's conclusion, the greater the precision which should be quoted in order to give the data authenticity.
Sentiment: NEGATIVE
Be precise. A lack of precision is dangerous when the margin of error is small.
An error is the more dangerous in proportion to the degree of truth which it contains.
The scientific method actually correctly uses the most direct evidence as the most reliable, because that's the way you are least likely to get led astray into dead ends and to misunderstand your data.
One finds the truth by making a hypothesis and comparing observations with the hypothesis.
Truth emerges more readily from error than from confusion.
And the user may have a higher comfort level deciding what information to provide rather than worrying about what inferences might be made from what they've gathered.
Data allow your political judgments to be based on fact, to the extent that numbers describe realities.
It is a capital mistake to theorize before one has data.
On average, people should be more skeptical when they see numbers. They should be more willing to play around with the data themselves.
A few observation and much reasoning lead to error; many observations and a little reasoning to truth.