How We Rate: Forensic Data Analysis

    We don't test vacuums. We investigate them.

    The Problem with "Lab Tests"

    Most review sites get a brand new vacuum, turn it on for 10 minutes in a sterile lab, vacuum up some perfectly measured baking soda, and give it 5 stars.

    That's not testing. That's unboxing.

    A vacuum isn't good because it works on Day 1. It's good because it works on Day 365, after it's been dropped down the stairs, clogged with dog hair, and ignored for a month.

    Detective examining vacuum cleaner manual
    🔍 We Investigate

    Our Method: Forensic Data Analysis

    We treat every vacuum model like a crime scene. We look for the evidence that manufacturers try to hide.

    Step 1

    The Manual Deep Dive

    We read the entire 50-page technical manual so you don't have to. We look for the fine print that says "Warranty void if used on carpet" (yes, that exists).

    We find the maintenance schedules that require you to wash filters every 24 hours. We find the truth buried in the legal text.

    Mountain of vacuum manuals with thumbs up

    50+ Manual Pages Read Per Model

    Data analyst processing review data

    1000s of Reviews Analyzed

    Step 2

    The 1-Star Review Hunt

    We ignore the 5-star reviews. They are often bought or written by people who have owned the vacuum for 4 hours.

    We go straight to the 1-star reviews. We analyze thousands of them to find patterns. If 500 people say the wheel falls off after 3 months, the wheel falls off after 3 months.

    That's not an anecdote; that's data.

    Step 3

    The Spare Parts Check

    We try to buy a replacement belt, filter, and brush roll for every vacuum we rate. If we can't find them in 5 minutes, the vacuum gets a 0 for reliability.

    A vacuum you can't fix is just future landfill.

    Skeleton waiting for spare parts

    Don't Let Your Vacuum End Up Like This

    The Score

    We boil all this data down into two simple numbers:

    Suction

    Does it actually clean?

    Reliability

    Will it exist in a year?

    We don't care about "cool features." We care about the truth.