What the Risk Meter actually measures
The Risk Meter is an internal heuristic built by Bypassify. It reads patterns in your own text, cadence, repetition, structure, vocabulary, and reports how machine-like those patterns look. It is deterministic: the same text always produces the same score.
Structure and cadence
- Sentence uniformity, how alike your sentences are in length.
- Sentence-length variance, the spread between your shortest and longest sentences.
- Rhythm uniformity, whether cadence changes as the piece moves along.
- Paragraph uniformity, whether every block is the same size.
Language patterns
- Repeated sentence openers, how often sentences start the same way.
- Vocabulary repetition, words and phrases recurring more than natural writing repeats them.
- Formulaic transitions, stock connectives that cluster in generated prose.
- Punctuation variety, reliance on a single punctuation rhythm.
- Lexical richness, vocabulary breadth relative to document length.
How the signals are weighted
Risk Meter Calibration v1 effective 2026-07-29. Initial deterministic weighting derived from the BCE analysis layer. No external detector data has been used to fit these weights. Signals that a document is too short to support are switched off, and the remaining weights are re-normalised so short text is never penalised for missing evidence.
What confidence means
Confidence describes how much internal evidence we had, sample length, how many signals were active, and whether those signals agreed. High confidence means the reading is well supported by your text. It is never a probability of passing or failing any external tool.
What we don't do
- We do not send your text to any third-party AI detection service.
- We do not store detector results, because we never request any.
- We do not use an external language model to produce this score.
- We do not promise or guarantee any specific outcome elsewhere.
Try it on your own text
This runs entirely in your browser. Nothing is uploaded, stored, or sent anywhere.