
Running PageSpeed Insights on the same URL multiple times produces different scores. The variability can be 5-15 points between tests. The reasons matter for interpretation.
Server response time variation. The server isn't perfectly consistent; some requests are faster than others.
CDN edge variation. Different edge servers may respond differently.
Third-party script load time. External resources (analytics, fonts) can vary in load time.
Lighthouse simulation variability. The synthetic measurement isn't deterministic.
A single PageSpeed test result is approximate. Trust trends over multiple tests rather than single results.
Running 3-5 tests and looking at the median produces more reliable assessment than a single test.
CrUX field data in PageSpeed Insights shows real-user measurements aggregated over 28 days. The field data has its own variability but reflects actual user experience.
For comparing site changes over time, field data is more reliable than lab data.
To detect whether a specific change improved performance: measure before, make the change, measure after with multiple tests.
A score change of 1-3 points may be within variability; a change of 10+ points reflects real difference.
PageSpeed scores are useful indicators but not precise measurements. The variability matters for interpretation.
Don't obsess over individual test results. Look at trends; verify changes with multiple measurements.
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