The GearScore™ Methodology

The model in one paragraph

Each category gets a set of measurable specs. We reduce every spec to a single number, then normalise it onto a 0–100 scale against fixed per-category bounds — respecting whether higher or lower is better, because a 63 sq ft footprint and a $160 price tag are both “big” in very different ways. Each normalised value gets multiplied by a published weight. Average the weighted values, and that’s the score. 0 to 100, higher is better. That’s the whole machine.

The formula

For a numeric spec with raw value x, bounds min and max(the ratio is clamped to the 0–1 range, so values outside the bounds score 0 or 100):

• Higher-is-better: quality = clamp₀₋₁((x − min) ÷ (max − min)) × 100
• Lower-is-better: quality = 100 − clamp₀₋₁((x − min) ÷ (max − min)) × 100
• Ranges(e.g. a shade’s 4–6 person capacity spread) are reduced to a scalar first — the midpoint, span, or upper bound, as published per spec below.
• Categorical specs (e.g. anchor system: stakes vs sand pockets) map to a published 0–100 quality value per option.

The overall GearScore is the weight-normalised average: Σ(qualityᵢ × weightᵢ) ÷ Σ(weightᵢ), computed over the specs that have data.

Three rules that keep the score honest

• Missing data is never treated as zero.If a manufacturer doesn’t publish a spec, we store it as unknown, exclude it, and renormalise the remaining weights — we never guess. The honest consequence: a score built on fewer specs leans harder on the specs that remain, which is why the data note under each product’s table tells you exactly what was unavailable.
• Reference-only specs are excluded.Some published figures aren’t comparable across designs (e.g. a wind-powered canopy’s “works in a breeze” rating vs a staked tent’s, which aren’t measured the same way). These are shown in tables but never scored.
• Commissions never touch the math. MackRobertson runs no affiliate links or ads today, and if that ever changes the score will still be computed from specs by the formula above — there is no editorial override, no sponsored placement, and no manual adjustment. Ever.

Avatar re-weighting (the “Best for…” lists)

A big family packing the car and a solo angler hiking gear down a windy point shouldn’t use the same weights. So they don’t. Our buyer-specific lists take the same normalised data and re-weight it for one kind of beach day — the windy-day list, for instance, cares far more about anchor system and reinforced corners than outright low weight, because the lightest tent on the beach helps nobody once it’s cartwheeling toward the dunes. The weights for each avatar are published on its list page. The underlying data never changes.