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Factual Bias

A cognitive bias that consists of overestimating the power of raw facts (data, evidence, statistics) to resolve complex issues, while underestimating the importance of interpretation, theoretical framing, and values. Those who suffer from Factual Bias believe that “the facts speak for themselves” and that simply presenting a number or a study is enough to end any controversy. In practice, this person tends to ignore that facts need to be selected, interpreted, contextualized, and translated into understandable language – and that each of these steps involves biased decisions. Factual bias is the rhetorical basis of the Formal Guillotine, and it's very common in online scientific debates, where the first person to post a link to a random study is treated as the winner, regardless of the study's quality or relevance. Ironically, factual bias is a bias about facts – no fact proves that facts are enough.
Example: “In a discussion about education, someone posted a PISA number and said: ‘That's the fact, end of discussion.’ They completely ignored that numbers can be interpreted in various ways. A pure manifestation of factual bias.”
Factual Bias by Dumu The Void May 23, 2026
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Factual Objectivity Bias

The belief that if you simply state enough discrete, verifiable facts, you have delivered objective truth—as if facts interpret themselves. The Factual Objectivist floods conversations with data points, assuming that the sheer weight of correct information will inevitably lead everyone to the same conclusion. They miss that facts are always selected, framed, and connected by someone with a perspective. Two people can agree on every fact and still disagree violently about what those facts mean. But the Factual Objectivist treats meaning as something that automatically falls out of facts, like water from a cloud.
"I've given you seventeen statistics about crime rates, so my point is proven," she said, unaware that her selection of statistics and her interpretation of their significance were doing all the work. Factual Objectivity Bias: drowning in data while starving for wisdom.
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