Rules before recommendations

Our work should be useful enough to act on and transparent enough to question.

These standards apply to comparisons, product evaluations, updates, page summaries, retailer links, and public corrections.

Coway Airmega Mighty AP-1512HH — Black
Recent Worthwise comparisonAir purifiers for wildfire smoke: CADR, room size, noise, and filters comparedUse documented smoke CADR to match room size. This evidence set independently evaluates only the Levoit Vital 200S-P; the other shortlisted models are specification comparisons, so it does not establish a universal performance winner.Read comparison

Editorial independence

Commercial relationships do not determine which products enter a guide, where they rank, or what verdict they receive. Revenue status is kept separate from product assessment, confidence, and review-integrity risk.

We may recommend a less expensive option, conclude that no option is good enough, or advise a reader to wait.

Accuracy and sourcing

Material factual claims need a source suited to the question. Manufacturer documentation can establish a specification but cannot prove that the product performs well in ordinary use. Owner reports can reveal patterns but do not establish laboratory measurements.

We preserve exact product identity where a model, size, generation, capacity, variant, or bundle could change the conclusion.

Testing and expertise language

We never imply that we handled or tested a product unless the article documents that work. Research from documentation, technical sources, retailers, and consumer experience is described as research, not personal experience.

We do not invent staff credentials, a laboratory, survey results, or access that did not exist.

Uncertainty and disagreement

Conflicting evidence is not edited away. It can lower confidence, narrow the audience, or reverse a recommendation. We distinguish confirmed facts from substantially supported, partly supported, unverified, and contradicted claims.

Review manipulation is a serious allegation. We describe observable risk signals and their limits instead of casually calling reviews fake.