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Self-deception as self-signaling: a model and experimental evidence Kyle Krueger, Michael Ritchie, and Lance Braud
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Self-Deception Gur & Sackeim’s (1979) definition An individual: holds two contradictory beliefs holds them simultaneously is unaware of holding one of the beliefs is motivated to remain unaware of that belief
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Motivational Bias Explanation There is no conscious intention to self-deceive. Instead, an individual makes judgments based on unconscious motivations. Examples Self-serving bias Attributing successes to internal factors, and failures to external factors Confirmation bias Tendency to interpret events (our own actions) in ways that confirm our beliefs
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Self-Signaling Theory Our choices affect our beliefs A choice not only causes an action, it also expresses a belief Levels of Belief Deep belief State belief Experienced belief
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Self-Signaling Theory Levels of Belief Deep belief Stated belief Experienced belief If stated belief does not match deep belief, then there is attempted self-deception If experienced belief is equal to stated belief, it is a successful self-deception.
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Self-Signaling vs Motivational Bias Motivational bias does not account for three characteristics of self-deception Defensiveness associated with challenged beliefs The special significance of beliefs about the self You wouldn’t state that someone was guilty of self-deception if they were convinced the moon landing wasn’t real Self-deception can fail A bias should necessarily alter belief
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The Self-Signaling Formal Model Bodner & Prelec (1995) Model of non-causal motivation Three primary assumptions 1.There exists a characteristic that is personally important 2.This is not possible to introspectively evaluate 3.It can be examined through one’s actions
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The Formal Model of Self-Signaling V(x, θ O ) = u(x, θ O ) + λ∑ θ u(x,θ)p(θ|x)
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The Self-Signaling Formal Model x = the action or outcome θ O = the “deep” belief about some characteristic θ = the experienced belief about some characteristic λ = the individual’s level of self-deception V(x, θ O ) =u(x, θ O ) +λ∑ θ u(x, θ )p( θ |x) The total utility of an action is equal to the generated utility of an action, plus the diagnostic utility of an action
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Diagnostic Utility λ∑ θ u(x, θ )p( θ |x) This must account for two emerging paradoxes 1.The static state paradox The ability to hold two opposing beliefs Explained by our two separate terms, θ O and θ 2.The dynamic paradox The ability to remain unaware of a held belief To explain this, there must be two variants of self-signaling Face-value Rational
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Diagnostic Utility λ∑ θ u(x, θ )p( θ |x) Face-value Our knowledge of θ O is a probability distribution, p( θ ) p( θ |x) = our inferred value of θ O given the action x This is derived with the assumption that our action is to solely provide maximum outcome utility “By choosing x I demonstrate deep beliefs such that x maximizes standard expected utility given these deep beliefs”
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Diagnostic Utility λ∑ θ u(x, θ )p( θ |x) Rational Inferences about motivation are exactly the same as in an interpersonal scenario Only paradoxical if action and belief are inconsistent As such, belief θ influences the action x, and action x derives belief θ Not ignorant of diagnostic utility and so can be mitigated rationally. This variation is through λ
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The Formal Model Revisited x = the action or outcome θ O = the “deep” belief about some characteristic V(x, θ O ) =u(x, θ O ) +λ∑ θ u(x, θ )p( θ |x) The total utility of an action given the deep belief of a characteristic is equal to the outcome utility of an action given a deep belief, plus The diagnostic utility of an action, as determined by susceptibility of self- deception, the utility of an action given an experienced belief, and the change in our experienced belief given that action
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The Experiment
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Purpose Designed to induce self deception in individuals, where self deception has a cost. Designed to examine failed self deception, where the subject is aware of their own attempted self deception.
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Design Female rated symbols Male rated symbols
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Phase one 85 subjects view 100 Korean symbols. The subject classifies the symbol as male or female and then rates their confidence on a 5 point scale. Subjects are awarded $0.02 for every correct classification.
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Phase Two The subjects are asked to predict the gender of a symbol, then they are shown the symbol and asked to confirm or reject their prediction. Again subjects rate their confidence. $0.02 are awarded for every correct prediction and correct guess.
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$40.00 bonus In Phase two a $40.00 bonus is awarded to 3 individuals in two different groups. In the first test group it is awarded to the subjects with the highest number of correct post – prediction classifications. In the second group it was awarded to the subjects with the highest rates of correct predictions.
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“In the absence of self- signaling the subject will categorize the sign as male if, and only if the probability of male is greater than.5. With self - signaling, one has to factor in the diagnostic utility of selecting male.” The subjects desire for their prediction to be accurate prompts them to self deceive. This deception makes the subject less likely to correctly confirm or reject their prediction.
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Application of the Formal Model Stated simply: A subject will choose a confirmatory response if there is more total utility in a confirmatory response We know there is no optimal outcome utility, so we must examine the individual components of the equation V(x=m, θ O ) -V(x=f, θ O )> 0 The total utility of a confirmatory response minus The total utility of a disconfirming response Is great than zero
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Application of the Formal Model c( θ O m - θ O f ) + λa(E( θ m |x=m) - E( θ m |x=f)) The reward for choosing correctly * (the deep belief that the character is male - the deep belief that the character is female) The degree of self-deception * the reward for correct anticipation * ((The experienced belief that the character is male given that you choose male) – (The experienced belief that the character is male given that you choose female)) Outcome UtilityDiagnostic Utility
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What does this mean? λa(E( θ m |x=m) - E( θ m |x=f)) Face-value As mentioned earlier, in this system x implies θ m, therefore, self-deception occurs Rational Given rational discounting of (E( θ m |x=m), the effect may be diminished, but will always be positive. There will always be confirmatory self-deception to some arbitrary degree.
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Results The inconsistent responses give a baseline for subject error. There are proportionately more self deceptive classifications than the error baseline. The effect is greater in the anticipation group.
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Results Red: Anticipation bonus Green: Classification bonus At p=.001 27% of the subjects in classification group, and 45% of people in the anticipation group are self deceptive.
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Results Looking at individual changes in confidence between phase one and two: Moderately self deceptive individuals show an increase in confidence following confirmation. +2.11 High self deceptive individuals show a decrease in confidence following disconfirmation. -1.76 It is expected that a confirming response will decrease confidence.
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Results Figure 3 shows that confirmation gives a confidence boost at moderate rates.
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Results High self deception correlates with fast response time, implying a suppression of evidence.
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Discussion
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Self-deception can be induced when a large, financial award is offered People who have statistical bias achieve higher confidence by self-deception – to a point Moderate self-deception possibly related to increased self-esteem and mental health Many participants exhibited a statistical bias This model can be applied to intrapersonal self- deception as well as interpersonal deception
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Two Agents An actor An observer Evolutionary explanation It is easier to deceive others in a mental state that is ignorant of the individual’s true beliefs Goal-setting argument Two mental structures are required for successful goal setting: one to choose which actions to take, one to evaluate and reward the self for performance.
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Alternative explanations Perceptual bias Motivationally biased perception of characters Does not explain faster response time and is confounded by randomized presentation of stimuli Priming Exposure to one’s prediction makes that gender more salient during the selection phase Does not explain effects seen in scaling of incentive
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Applications How far does the model extend? Confirmation bias Denial Cognitive dissonance More?
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