📊 統計・データ

フレーミング効果

ふれーみんぐこうか

同じ情報でも提示の仕方 (フレーム) によって判断や選好が変わる現象。「上位 30%」と「下位 70%」は同じ事実だが印象が異なる。

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Definition and the Asian Disease Experiment

The framing effect is a phenomenon in which identical information leads to different judgments depending on how it is presented. In the famous 1981 "Asian disease" experiment by Tversky and Kahneman, participants preferred a certain option when outcomes were framed as lives saved, but chose a risky option when the same outcomes were framed as deaths. Logically equivalent situations produced opposite preferences simply because of the wording.

Framing in Ranking Displays

"Top 30%" and "bottom 70%" state the same mathematical fact, yet the psychological impression differs dramatically. When a ranking service chooses between a positive frame (top X%) and a negative frame (bottom Y%), it can shift users' self-perception and motivation.

Understanding this effect allows you to focus on the objective number itself rather than being swayed by whichever frame happens to be displayed.

Connection to Loss Aversion

Loss aversion amplifies the framing effect. Because people are more sensitive to losses than gains, negatively framed information triggers stronger emotional reactions. "You are in the bottom 70% worldwide" provokes more anxiety than "top 30%" provokes satisfaction. Designers of ranking services should be aware of this asymmetry when choosing display formats.

Defending Against Framing

The best defense is to habitually reframe information in the opposite direction. When you see "top 30%," mentally convert it to "bottom 70%." If your emotional reaction changes between the two framings, that is evidence the framing effect is at work and a signal to step back and evaluate the data more coolly.

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