In the digital age, random sampling for polls has become increasingly difficult, leading to adjustments that introduce margins for human error, ultimately undermining any perceived certainty.
The idea that polls and models represent accurate snapshots of public opinion is misguided; in reality, they are edited based on subjective judgments made by pollsters.
Voters' perceptions are manipulated by overly precise statistics, which create a false sense of certainty, suggesting candidates have specific, almost prophetic, chances of winning.
Most citizens overlook the complex, error-prone processes behind polling data, leading them to believe in a level of precision that does not truly exist.
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