How we research and rank

Where the rating comes from

Each product's star rating is the average of numeric ratings published by independent reviewers. We pull those numbers directly from the structured data (schema.org JSON-LD) embedded in major review sites — the same structured data Google uses to show star ratings in search results.

On every product page we list the source publications and link directly to their reviews so you can read them yourself. If our rating differs from one source, it's because we've averaged across multiple.

How many sources? We aim for at least three independent published reviews before a product earns a star rating. Most products on the site have four to six. When fewer than three exist we either hold the product back from the ranking or, for a category where the product clearly belongs, publish it with a note that the score is thinly sourced.

How sources are weighted. Every source counts equally. We don't up-weight bigger publications or the reviewer we personally agree with — that would re-introduce the editorial bias the methodology is designed to remove. Each reviewer's numeric score is normalised to a 5-point scale (a 9/10 becomes 4.5/5, an 85/100 becomes 4.25/5) and the arithmetic mean is the score we publish. The trade-off is honest: a single small-publication outlier can move the average more than it would on a weighted system, but the rule is visible and consistent across every category.

Not every reviewer embeds a numeric score in their published page — many professional review sites write a clear verdict in prose without the machine-readable star rating. Where that happens, we mark the citation with an asterisk (*) and list the rating we derived from the reviewer's own text. The derivation is mechanical: we map verdict language to a 5-point scale (“outstanding / class-leading” ≈ 4.5–5.0, “recommended / very good” ≈ 4.0–4.5, “decent with caveats” ≈ 3.5–4.0, “mixed / disappointing” ≤ 3.5) and pull the closest match. Click through any asterisked citation to read the original and judge for yourself whether the derived number matches the reviewer's conclusion. Asterisked ratings count toward the average at equal weight; the mark is how we disclose that the number didn't come pre-numbered from the publisher.

A small number of newer or niche products don't yet have enough published numeric reviews to average. When that's the case we say so on the product page rather than hiding it — the score is still grounded in the source material we read, but we can't point you at a list of numeric sources.

Where the pros and cons come from

For each product we read several professional review articles, browse the most upvoted Reddit threads in the relevant communities, and pull transcripts from the most-watched review videos on YouTube. The pros and cons you see are synthesised from that pool of source material — they reflect what reviewers and owners are actually saying.

How we choose the shortlist

You give us a starting product. We search the open web for established comparables in the same category, score the candidates by how often they appear in “best of” lists and head-to-head comparisons, and pick the top 4–5.

How we compare them

After every product has been researched independently, we run a final head-to-head pass that compares each one against all the others in the shortlist. That's where the “How it compares” section on each product page comes from. It's written by referencing the others by name, not in isolation.

Affiliate disclosure

Some links on this site are affiliate links. When you click through and buy something on Amazon, we may earn a small commission at no extra cost to you. This never changes how products are ranked or what we say about them — the ratings come from independent reviewers we don't pay or partner with.