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Wadsworth, 2001) Generalizations as a whole, hasty or not, are problematic at best, anyway, though a large sample size won't always get you off the hook.The sample that one wants to generalize needs to be representative of the population as a whole, and it should be random.Wadsworth, 2012) Overall, to avoid making, spreading, or believing hasty generalizations, take a step back, analyze the opinion, and consider the source.If a statement comes from a biased source, then the point of view behind it needs to highlight your understanding of the stated opinion, as it gives it context.It's easy for one person to claim he saw something, but without more evidence, it is difficult to prove that it really happened. But, just because something is a logical fallacy does not necessarily mean that the statement is false.For example, if I reasoned that my friend's rabbit must love carrots just because another rabbit I know loves carrots, this might actually be true if my friend's rabbit really did love carrots.For example, the polls prior to the 2016 presidential election missed segments of the population who would come out to vote for Donald Trump and thus underestimated his supporters and their potential impact on the election.
The most common type of hasty generalization is generalizing from too small a sample size.
Look for evidence, both supporting and opposing a statement, to find the truth, because, as the adage says, there are two sides to every story, and the truth often lies somewhere in the middle.
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To avoid a hasty generalization, a large sample size is a good start, but it should also be random and representative.
Clearly, this poll is not random and does not accurately represent all Americans since it is only polling Democrats.
2) The car that just cut me off is from South Dakota, so all South Dakotans are jerks.