fix: replace circular benchmark claims with honest language#17
Merged
Conversation
Replace all instances of '100% detection rate, 0% false positives' across README.md, release notes, and ROADMAP.md with honest language that acknowledges the benchmark samples were hand-crafted to match detection rules. The old claims were mathematically circular — a tautology, not evidence. Changes: - README.md: Replace benchmark table and claim text - release_notes_v030.md: Replace benchmark claim - release_notes_v050.md: Replace benchmark claim - release_notes_v051.md: Replace benchmark claim - ROADMAP.md: Replace benchmark claim
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Summary
Replaces all instances of '100% detection rate, 0% false positives' with honest language that acknowledges our benchmark samples were hand-crafted to match detection rules.
Problem
The claim '100% detection rate, 0% false positives' is mathematically circular. Our 56 benchmark samples were hand-written to match our detection rules — this is a tautology, not evidence. The benchmark demonstrates rule coverage, not real-world accuracy.
Changes
What was removed
What was added