It doesn’t matter the topic, there will always be a glut of information at our fingertips. Right now, the topic is the novel coronavirus, its spread, its mortality rate, and the measures put in place to limit transmission. As usual, there is good information and plenty of bad information. People share this information without even a basic examination of its merit. I have noticed there are a few different categories that bad information typically falls into.
- Bad information may look like good information
- Hearsay
- Good information shared in ways that limit its credibility
- Old information that may not be the best in an evolving situation
- Garbage information that has no merit at any time
When I use the term “bad information,” I am referring to two broad subcategories. The first subgroup includes the use of clearly marked opinion or commentary pieces as support for an argument. That other people exist with the same opinion as you is not proof that your opinion is correct or valid. Opinions do not equal facts. Facts can support opinions, but it should never be vice versa. The second subgroup is information that may be formatted to appear reputable, but it should not be used as substantiation for a debate. This includes content from media outlets that are known for sensationalism (New York Post, Fox News, anything relying on clickbait) or others with strong biases that drift away from fact reporting and more into the realm of commentary. The Media Bias Chart does a great job of showing a continuum of sources and where they fall in terms of bias and amount of fact reporting.
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Survivorship Bias
The dead can’t tell their stories. Even when their accounts are documented, they are often given less credence than the accounts of survivors who still exist to share theirs. Simply put, survivorship bias is a logical fallacy in which we concentrate on the accounts of those who have made it past some criteria and overlook the accounts of those who did not. The error is compounded as conclusions are drawn that suggest that success is due to some characteristic shared by the successful instead of extraneous variables or random chance.
I most often see this bias play out in three ways:
Even though some of these stories may be shared with a humorous intent, there are plenty of examples where people believe that they are drawing accurate conclusions about success based on a selective review of attempts in pursuit of that success.
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