How we pick what to feature

Short version: we read Amazon's own numbers every day and put forward the products those numbers support. We are not a testing lab, and we say so plainly.

What we look at

• Current star rating and how many ratings it is based on — a 4.8 from 60 buyers is not a 4.8 from 12,000.
• Category rank and how it moves week to week.
• Price and its recent history, so a 'deal' is measured against the real trailing price.
• Whether Amazon itself flags the item as Best Seller or Amazon's Choice.
• Whether the listing is still in stock and still sold by a seller in good standing.

What we do NOT claim

We have not personally used most of the products listed here. We don't run lab tests, we don't have a testing facility, and we won't write sentences that imply otherwise. Where a page reflects hands-on use, it says so explicitly and names who used it.

Why that still helps

Most shopping mistakes are not caused by missing lab data — they are caused by a listing with a padded rating, a thin review count, or a price that quietly rose 30% last month. Those are exactly the things a daily data pass catches.

When we remove something

An item comes off the site when it goes out of stock for an extended period, when its rating falls below our threshold, or when the listing changes into a different product — a common trick with older listings that carry inherited reviews.