Monday, April 15, 2019

Studies can be deceptive and should be met with skepticism

This study says this. That study says that. These two studies seem to contradict each other. Actually, most sources don't discuss contradictory studies.

There are numerous ways that studies can be used to deceive. Many studies come from biased sources. These sources can manipulate such things as wording to shift outcomes in their favor. They can also intentionally set up studies to rely on or downplay factors to shift the results. Many studies are designed not to find the truth, but to push a narrative. There are ways in which studies can be used to prove just about anything, regardless of legitimacy.

When studies make the news, they are usually in line with the beliefs of those who are reporting them. This is because reporters are more likely to share studies that back what they want to believe. They will not share studies if they personally disagree with the outcomes. When there are contradictory studies, they usually pick one side and show the results they like.

Polls are similar. Pollsters can look for the wording that can maximize the results they want. Since polls tend to be a little more public, they are less likely to get away with hiding results. When performed by a biased source, they generally reflect the bias of that source. For example, a news outlet will generally have poll results skewed by the biased narrative they are providing.

Studies and polls should always be met with skepticism. If the results seem to match the bias of the organization conducting the study or poll, you can't trust them. Similarly, you can't trust studies and polls when they match the bias of the reporting organization. The only time you should take studies and polls seriously is either when a poll or study goes against bias or if there is reason to believe that those involved are trying to find an answer that they don't already think they know. Even then, you can't dismiss the possibility of errors in such things as methodology or misinterpretation of data.

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