How do you tell a real ranking signal from a correlation everyone repeats?
- Published November 6, 2026
- Linked from 1 answer
- In a cluster of 63
Ask two questions of any claimed factor: has Google said it uses it, and if not, is there evidence that isolates its effect from everything that travels with it? A claim that has neither is a correlation, however many people repeat it. Google’s guidance on third-party SEO advice sets a similar bar: “In general, good advice either qualifies their claims as opinion based on data or experience, or backs up their claims by citing official Google Search guidance.”
Three levels of evidence
| Level | What it looks like | Example |
|---|---|---|
| Stated by Google | Google's documentation names it as something its systems use or ignore | Google states that it ignores the meta keywords tag |
| Tested | A controlled test changes only that factor and measures the result against unchanged pages | A split test on a large group of similar pages |
| Observed | Pages that rank well share a trait in a study of results | "Top-ranking pages have more words" |
Only the first level settles the question. The second can support a claim for a particular site and period. The third shows that a trait and good rankings appear together, which is where repeated claims of this kind start and where they should stay until tested.
Why observed patterns mislead
A trait found on ranking pages can travel with the real cause. Longer pages may rank because they answer more of the question, not because of their length; Google’s own starter guide says the length of content alone does not matter for ranking. Older domains may rank because they have earned more links over the years, not because of their age. Optimizing the trait without the cause changes the number and leaves the result where it was.
Run the check before acting
- Look for the claim in Google’s documentation. If Google says it uses or ignores the factor, that decides it.
- If Google says nothing, ask what else the pages with that trait have in common.
- Look for a test that changed only that factor. If none exists, treat the claim as unproven.
- If the claim is cheap and helps readers anyway, doing it is fine; just do not expect a ranking change from it.
Claims of this kind come up for bounce rate, dwell time, social sharing, and third-party authority scores. Wide agreement on a claim tells you how often it is repeated, not whether it is true.
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