Decision-Making Biases

    Less-is-Better Effect

    🇳🇴Mindre-er-bedre-effekten

    Definition

    The less-is-better effect is the tendency to prefer a smaller option when it's evaluated on its own – but to prefer the larger one when both are compared side by side. The context of evaluation – not objective value – drives the choice.

    Real-world example

    Christopher Hsee (1998) showed the effect with gifts. Participants were asked how much they'd appreciate a gift. Group A got a $45 wool scarf. Group B got a $55 wool coat. Participants judging one gift alone rated the scarf higher – because $45 for a scarf is *expensive for its category*, while $55 for a coat is *cheap for its category*.

    He saw the same effect with ice cream servings: a small cup overfilled was rated more generous than a large cup half-filled containing more ice cream in total. Without comparison, people rely on how 'full' or 'category-appropriate' something feels – not absolute quantity.

    Supplementary perspective

    The effect almost entirely disappears when options are shown together. It's *evaluation mode* that's the key: single evaluation is driven by category norms, comparison is driven by absolute numbers. This matters enormously in practice: how choices are presented often determines what's chosen.

    Practical advice

    Recognize

    • Notice if you're judging something based on how 'complete' it feels in its category.
    • Watch for judging alternatives in isolation rather than together.
    • Check whether an 'abundant small' version feels more valuable than a 'modest large' one.

    Counteract

    • Put alternatives side by side before choosing.
    • Focus on absolute numbers (quantity, dollars, time) rather than how 'complete' things feel.
    • Ask: 'If I could take both, which would I pick?'

    Ethical use

    • In sales: don't exploit isolated evaluation; offer honest comparisons.
    • In hiring: compare candidates directly, not just individually.
    • In gifting: focus on real utility, not just how 'lavish' it seems.

    Related biases