Bias · how a sentence moves a choice · 7 min read

The framing effect, and how a sentence moves a choice

Tversky and Kahneman's Asian disease study, Levin, Schneider and Gaeth's case that not all framings are equal, and three original decisions to try it on.

In short

The framing effect is choosing differently between two options that are actually identical, depending only on whether they are described in terms of what is gained or what is lost. Amos Tversky and Daniel Kahneman demonstrated it in 1981 with a hypothetical disease outbreak: the same two response programmes, described once in terms of lives saved and once in terms of lives lost, produced opposite majority preferences even though the underlying outcomes had not changed at all. Later work found that framing effects are not one single phenomenon; different kinds of framing move people by different amounts and for different reasons.

An everyday example

Ground beef labelled "75% lean" sells better than identical ground beef labelled "25% fat," even though the two labels describe exactly the same product. Nothing about the meat changes between the two packages; only which side of the same fact is printed on the label changes.

The pull works because a positive frame and a negative frame are not processed as neutrally equivalent restatements of the same information. One is read as good news, the other as bad news, and the reaction to each carries into the decision that follows, even when a moment's arithmetic would show they say the same thing.

The classic experiment

Tversky and Kahneman's 1981 paper posed participants a hypothetical outbreak expected to kill 600 people, with two possible response programmes. Framed in terms of lives saved, the choice was between a programme that would save 200 people for certain, and one with a one-in-three chance of saving all 600 and a two-in-three chance of saving no one. About 72% of participants chose the certain option, saving 200 for sure, showing the typical preference for a sure gain over a gamble with the same expected value. A separate group of participants saw the identical underlying outcomes described in terms of lives lost instead: a programme under which 400 people would die for certain, against one with a one-in-three chance that no one would die and a two-in-three chance that all 600 would die. About 78% of this group chose the gamble. Saving 200 for certain and 400 dying for certain describe the exact same outcome; choosing the certain option in one framing and the gamble in the other is not a difference in what people actually preferred, only in how the identical choice was worded.

Not one effect, but a family of them

Irwin Levin, Sandra Schneider and Gary Gaeth's 1998 review argued that lumping every framing demonstration under one label hides real differences between them. They distinguished at least three kinds: risky-choice framing, the sure-thing-versus-gamble pattern from the disease scenario; attribute framing, describing a single feature of one option positively or negatively, as with the lean-versus-fat beef label; and goal framing, describing the consequence of an action in terms of what is gained by doing it or what is lost by not doing it, as in messages encouraging a health check-up. The review's point is that these three kinds of framing do not all move people by the same amount, are not all explained by the same underlying process, and should not be treated as interchangeable evidence for one single "framing effect."

Does it replicate?

Replication grade: Strong for risky-choice framing; attribute and goal framing run smaller and more variable

The gain-versus-loss framing pattern from the disease scenario is one of the more robustly reproduced findings in judgement and decision research, and it was among the classic effects retested directly in the large, multi-site Many Labs replication project, which reran a set of established findings in many separate laboratories to check whether they held up outside their original setting. The basic reversal, a preference for certainty under a gain frame and for risk under an equivalent loss frame, reproduced clearly there.

What varies, in line with Levin, Schneider and Gaeth's point, is how strong the effect is across different kinds of framing and different content: risky-choice framing of the disease-scenario type tends to be the most reliable of the three; attribute framing and goal framing can be smaller and more sensitive to exactly how the message is worded. The core finding, that logically identical outcomes are treated differently depending on how they are described, holds up broadly; how large that difference runs depends on which kind of framing is being tested.

The same glass, described twice

The same glass, drawn twice, holding the same amount. Labelled by what is kept, it reads as a gain; labelled by what is lost, the identical outcome reads as a loss. Nothing about the liquid changes between the two drawings, only the sentence describing it.

The diagram on this page is an illustration, not measured data. It draws one glass, holding the same amount, twice: once labelled by what is kept and once by what is lost. Nothing about the glass changes between the two drawings, only the sentence underneath it.

Try it: three scenarios

Three original pairs, each describing the same underlying outcome once as a gain and once as a loss. Decide whether the two descriptions in each pair really differ.

1. A savings plan is advertised two ways: "keep 95% of your return after fees" and "lose 5% of your return to fees." What is the relationship between the two descriptions?

They describe the exact same fee, worded once as a gain and once as a lossThe second plan charges a higher fee than the firstThere is not enough information to compare them

Why

Keeping 95% and losing 5% describe the identical outcome; the only difference between the two adverts is which side of that outcome is put in words first.

2. A surgery is described in one leaflet as having a "90% survival rate" and in another as having a "10% mortality rate." A patient reads the survival-rate leaflet and feels more reassured than a similar patient who reads the mortality-rate leaflet. What does this show?

The two figures describe different outcomes, so the reassurance difference is justifiedThe two figures describe the same outcome, so the difference in reassurance comes only from the wordingThe survival-rate leaflet must be describing a safer procedure

Why

A 90% survival rate and a 10% mortality rate are the same underlying statistic; if the wording alone changes how reassured a reader feels, nothing about the actual risk has changed, only its framing.

3. A manager tells a team either "if we ship on time, we keep the client" or "if we do not ship on time, we lose the client." Both sentences describe the same condition for keeping the client. Why might the two versions still produce different levels of urgency in the team?

Because loss-framed language tends to be read as more urgent than logically equivalent gain-framed language, even when the underlying stakes are identicalBecause the two sentences actually describe different deadlinesBecause only the loss version is technically true

Why

Both sentences state the same condition for the same outcome; any difference in how urgent the team feels comes from the loss-versus-gain wording, not from any actual difference in the stakes described.

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How to catch it

Framing works on the wording, so the fix is to strip the wording away and look at the outcome underneath it.

Rewrite any framed statement in the opposite frame, and check that both versions still describe the same outcome; if they do, judge the choice by the outcome, not by either wording.
Ask whether a choice would feel different if described the other way around; if it would, the framing, not the content, is doing some of the work.
Be extra alert to loss-framed language in anything urging quick action, since loss frames tend to push toward the riskier or more urgent-feeling option.
For any percentage presented as a rate of success, ask for the matching failure rate, and for any failure rate, ask for the matching success rate, before deciding how alarming or reassuring it is.
Notice which frame a message chose to lead with; the choice of frame is often made deliberately, by someone who wants a particular reaction.

Check yourself: three questions

1. In Tversky and Kahneman's 1981 disease scenario, what was actually different between the gain-framed and loss-framed versions of the choice?

Nothing about the underlying outcomes; only the wording of gains versus losses differedThe loss-framed version described a more severe outbreakThe two versions were given to the same participants in a random order

Why

Saving 200 for certain and having 400 die for certain describe the identical outcome; the only thing that changed between the two versions of the question was whether it was phrased in terms of lives saved or lives lost.

2. What did about 72% and about 78% of participants choose in the gain-framed and loss-framed versions respectively?

The certain option in the gain frame, and the gamble in the loss frameThe gamble in both framesThe certain option in both frames

Why

Most participants preferred the certain outcome when it was framed as a sure gain, and preferred the gamble when the identical outcome was framed as a sure loss, showing the reversal the study is known for.

3. What was the main point of Levin, Schneider and Gaeth's 1998 review?

That framing effects come in at least three different kinds, which are not all the same size or explained by the same mechanismThat framing effects do not actually exist outside laboratory studiesThat the 1981 disease study could not be replicated

Why

The review distinguished risky-choice, attribute and goal framing as separate kinds of framing effect, arguing that treating them as one interchangeable phenomenon obscures real differences in how strongly and how reliably each one moves people.

Sources

Text on this page is original to MyTestAtlas, written from the studies listed. The diagram is drawn by this site and is not a copy of any published figure.