🧪 This platform is in early beta. Features may change and you might encounter bugs. We appreciate your patience!
magnitude
Magnitude distortion is the systematic misrepresentation of the size, severity, or importance of events or trends — either by exaggerating (catastrophising, amplifying threat) or by minimising (dismissing, understating impact). It operates through absolute vs. relative framing, missing denominators, absent base rates, selective historical comparison, and language that implies scale without supplying data.
A news story reports '10,000 cases of X' in a headline without noting that this represents a rate of 0.002% of the affected population — lower than last year's rate of 0.003%. The absolute number creates alarm; the trend and rate would show improvement.
A business story describes a company's 'record-breaking €50 million loss' without noting that the company has €20 billion in revenue. The absolute number sounds catastrophic; the 0.25% margin loss is well within normal operational variance for its sector.
A climate story reports that 'CO2 levels rose by just 2 ppm this year' — framing a small absolute number as reassuring — without contextualising that the 2 ppm represents a continuing increase above an already historically anomalous baseline with significant cumulative effects.
Binary (yes/no) questions an LLM must answer to identify this aspect:
Does the coverage describe the scale, severity, or significance of an event or trend?
Type: binaryIs the described magnitude — in language or emphasis — larger or smaller than the facts support when context and comparison are applied?
Type: binaryAre relevant context figures — base rates, historical comparisons, population denominators — absent that would allow accurate calibration?
Type: binaryDoes the distortion serve a consistent narrative — inflating threats, minimising risks, dramatising changes, or downplaying continuity?
Type: binaryMagnitude distortion is the systematic misrepresentation of the size, severity, or importance of events or trends — either by exaggerating (catastrophising, amplifying threat) or by minimising (dismissing, understating impact). It operates through absolute vs. relative framing, missing denominators, absent base rates, selective historical comparison, and language that implies scale without supplying data.
Humans are poor intuitive statisticians and have difficulty contextualising large numbers without reference points. Magnitude language ('massive,' 'tiny,' 'record-breaking,' 'negligible') bypasses quantitative evaluation and substitutes the reporter's implicit judgment for the audience's own assessment.
Ask: large compared to what? Is the number reported as absolute or relative? What is the denominator? What is the historical baseline? Is the described trend statistically significant? Seek out reporting that provides per-capita, percentage, or historical context figures.
Pervasive in health-risk journalism (absolute risk vs. relative risk), crime reporting (counts without rates), economic reporting (GDP growth without population or inflation context), and environmental coverage.
Use these tools to detect, analyze, or train this aspect.