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.