
Scientific Methodology
"Names influence perception — not destiny. We study the sound, not the soul."
Abstract
KnowYourName is a browser-based linguistic analysis engine that quantifies the phonetic, ergonomic, and symbolic properties of human names. Unlike traditional etymology or numerology, this tool applies empirical frameworks from phonosemantics (Sapir, 1929; Köhler, 1929), keyboard ergonomics (Fitts, 1954), and information theory (Shannon, 1948) to generate reproducible metrics. The engine produces measurements including Sonority Score, Bouba-Kiki Classification, Shannon Entropy, and QWERTY Typing Effort. All calculations are performed client-side with no user data transmitted to servers.
01. Method
The analysis engine processes names through five distinct modules:
- Grapheme-to-Phoneme Mapping: Letters are mapped to IPA phonemes using a deterministic rule-based heuristic derived from the CMU Pronouncing Dictionary (v0.7b). This ensures calculations are based on spoken sound, not spelling.
- Sonority Calculation: Phonemes are assigned values on a 1-10 Sonority Hierarchy (Clements, 1990). The variance of these values determines rhythmic "smoothness."
- Entropy Calculation: Shannon Entropy (H) is computed based on character frequency in the Oxford English Corpus (OEC 2 Billion Word dataset): H(X) = -Σ p(x) log₂ p(x).
- Keyboard Ergonomics: Each letter's position on a standard QWERTY layout is mapped to (x, y) coordinates. Total biometric typing distance (Fitts's Law model) and hand alternation are calculated.
- Bouba-Kiki Classification: Phonemes are weighted by their articulatory sharpness (plosives, fricatives → Kiki) or roundness (sonorants, labials → Bouba) following Ramachandran & Hubbard (2001).
CMU Pronouncing Dictionary
Source for grapheme-to-phoneme mappings.
Oxford English Corpus
Source for character frequency data (Entropy).
IPA Standard
Framework for phoneme classification.
Clements (1990)
Sonority Hierarchy model.
02. Results (Output Metrics)
| Metric | Type | Interpretation |
|---|---|---|
| Sonority Score | Measured | Higher = smoother, more melodic name. |
| Shannon Entropy | Measured | Higher = more distinctive/rare letter combinations. |
| QWERTY Effort | Measured | Lower = easier to type quickly. |
| Bouba-Kiki Score | Heuristic | High = "Round/Warm", Low = "Sharp/Competent". |
| Gender Probability | Statistical | Based on historical naming trends (Barry & Harper, 1995). |
| Synesthesia Colors | Simulated | Based on common grapheme-color associations (Simner et al., 2006). |
03. Limitations
This is NOT a fortune-telling tool.
- We do not claim your name determines your destiny, personality, or life outcomes.
- Correlations (e.g., between name sounds and perceived traits) are statistical tendencies, not deterministic predictions.
- The grapheme-to-phoneme mapping is heuristic and may not accurately represent all accents, languages, or pronunciation variants.
- Synesthesia simulation is based on population averages; individual synesthetes may have different associations.
- We do not use Numerology. Our analysis is grounded in quantitative linguistics and acoustic physics.
We analyze the "User Interface" of your name—how it is spoken, typed, and heard—not the "Soul" of the person behind it.
04. References
📜 Scientific References
All algorithms in this application are derived from these peer-reviewed publications.
Open science builds better tools.
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