Type-Token Ratio (TTR)
Measures vocabulary variety by computing the ratio of unique words (types) relative to total word counts (tokens). A higher ratio indicates diverse vocabulary choices rather than repetitive language.
Scoring Methodology & Linguistic Heuristic Engine
Scientific transparency, natural language processing formulas, and strict ethical boundaries governing our communication evaluation system.
1. Overview and Core Purpose
IQ Checker XYZ evaluates public digital communication patterns across social platforms. Our algorithm analyzes writing clarity, vocabulary richness, and sentence readability without storing private data or claiming to diagnose clinical cognitive abilities.
2. Algorithmic Dimensions Analyzed
Flesch-Kincaid & Coleman-Liau Readability
Uses sentence length and syllable density formulas to determine how clearly ideas are communicated within character-constrained environments.
Communication Archetype Modeling
Classifies text samples into four distinct archetypes: The Synthesizer (concise density), The Pragmatist (direct functional pacing), The Articulator (broad lexicon), and The Catalyst (expressive engagement).
3. Mathematical Normalization
Raw linguistic metrics are normalized along a standard Gaussian distribution with a mean of 100 and a standard deviation of 15. The cumulative distribution percentile is calculated using the standard Gauss error function:
Percentile = 0.5 * (1 + erf( (Score - 100) / (15 * sqrt(2)) )) * 100
4. Scientific Limitations & Ethical Boundaries
Digital communication is shaped by platform culture, brevity, irony, and conversational context. A user's public posts reflect informal writing habits, not biological intelligence or clinical cognitive capacity. Certified psychological IQ evaluations require supervised administration of standardized tests such as the WAIS-IV or Stanford-Binet (SB5) by licensed professionals.
For more details on standard cognitive scales, review our General IQ Checker Guide and Percentile Chart.