Framing Bias

Missing Context

Presenting an event, statistic, or quote without the surrounding information needed to understand it accurately — leaving the audience to fill the gap with whatever assumption fits the existing narrative.

Real-world example

"Crime in [city] has risen 40% under Mayor [X]." What's missing: crime was measured differently in year two (expanded reporting categories), the national trend also showed a 35% increase, and the previous mayor's numbers used a methodology that excluded certain incident types. The 40% is real; its meaning is entirely dependent on context that was withheld.

Why it bypasses reasoning

Context-seeking is effortful. When a claim sounds specific and authoritative, most people accept it rather than searching for the surrounding information that would change its meaning. The brain treats statistical specificity as a proxy for accuracy.

Discerno signal

What to watch for

Precise percentages or numbers without sources, timeframes, or comparison points. Questions to ask: "Compared to what? Over what period? Measured how?"

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