#node

Most phishing detection APIs check URL reputation databases. The problem? Brand new phishing sites...

Preserve raw request bytes, reject replay, and prove that semantically identical JSON is not signature-identical.

A blood panel, a fund's track record, and a security benchmark can all report a clean, confident number that is quietly wrong. Measurement bias doesn't announce itself — the five kinds, and how to catch each before you publish.

eslint-plugin-jwt gets scored on precision and recall against a labeled vulnerability corpus. My serverless caching plugin doesn't — and 3 of its 4 benchmark suites aren't built yet. Here's why that gap is honest, not an inconsistency.

A test that scores 95% precision on a balanced sample can be right under 2% of the time when the thing it hunts is rare. That's not a bug in the arithmetic — it's the base rate problem, and it's why benchmark conditions rarely predict field behavior.

When a measure becomes a target, it ceases to be a good measure. Goodhart's Law is the failure mode where moving a number and improving the thing the number stood for split into two projects — and the cheaper one wins by default.

Two radiologists agreed on 92 of 100 scans. Cohen's kappa scores that at 0.16 — barely above chance. When labels are judgment calls, raw percent agreement is the wrong check. Here is the right one.

Review indoor humidity sensor coverage, high-threshold spells, and data gaps locally without turning a CSV summary into a health or building diagnosis.

A valid webhook signature does not make your handler idempotent. Replay one signed order webhook five times — you should still grant access exactly once.

Preflight GPX timing and threshold candidates locally while preserving segment boundaries and omitting raw route data from reports.

Audit supplied one-dimensional stock assignments under explicit kerf and end-trim assumptions without optimizing the layout.

The Evolution of Monero Payments with MyZubster A Journey from Mining to Building My...