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Perplexity and Burstiness Explained for AI Detection
AI Detection & Humanization Updated: 2026-02-27 7 min read

Perplexity and Burstiness Explained for AI Detection

A plain-language explanation of perplexity and burstiness, plus practical editing controls to reduce detector risk.

AI Detection Research Team

What Is Perplexity?

Perplexity measures how predictable your word choices are. Very predictable sequences can look machine-generated, especially when repeated at scale.

What Is Burstiness?

Burstiness measures variation in sentence length and structure. Human writing naturally swings between short and long sentences. AI drafts often stay too uniform.

Why These Metrics Matter

Most major detectors combine these signals with other pattern checks. That is why random synonym edits usually fail; they do not meaningfully change distribution behavior.

Practical Editing Controls

- Mix sentence lengths intentionally. - Vary transitions and paragraph openings. - Reorder argument flow where needed. - Add concrete examples and human judgment. - Keep factual anchors stable during rewrites.

For applied workflow, see GPTZero Bypass Guide and AI Detection & Bypass Guide.

Quick Self-Test Before Publish

1. Read the draft aloud for rhythm monotony. 2. Mark repetitive transitions and replace them. 3. Run two detector checks and inspect flagged blocks. 4. Finalize only after readability and consistency pass.

Understanding these two metrics helps you edit with intent instead of guessing.

Recommended Resources

Related Topics:

perplexity burstiness explainedhow ai detection worksai detector signalsgptzero patternsai writing rhythm

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