A plan for spam
16th August 2002
Paul Graham: A Plan for Spam. Paul suggests using content based filters that learn from users specifically marking messages as spam or legitimate mail. The system then picks emails apart looking for commmon terms (in both the body and the header of the message) that can then be used later on to identify spam messages. He claims his test have let through only 5 per 1000 spams, with 0 false positives
. Impressive stuff, and great reading for the excellent explanations of some advanced alogithmic and statistical techniques.
More recent articles
- How StrongDM's AI team build serious software without even looking at the code - 7th February 2026
- Running Pydantic's Monty Rust sandboxed Python subset in WebAssembly - 6th February 2026
- Distributing Go binaries like sqlite-scanner through PyPI using go-to-wheel - 4th February 2026