571090
PSPXXX10.1177/0146167215571090Personality and Social Psychology BulletinFincher and Tetlock
research-article2015
Article
Brutality Under Cover of Ambiguity:
Activating, Perpetuating, and Deactivating
Covert Retributivism
Personality and Social
Psychology Bulletin
2015, Vol. 41(5) 629–642
© 2015 by the Society for Personality
and Social Psychology, Inc
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DOI: 10.1177/0146167215571090
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Katrina M. Fincher1 and Philip E. Tetlock1
Abstract
Five studies tested four hypotheses on the drivers of punitive judgments. Study 1 showed that people imposed covertly
retributivist physical punishments on extreme norm violators when they could plausibly deny that is what they were doing
(attributional ambiguity). Studies 2 and 3 showed that covert retributivism could be suppressed by subtle accountability
manipulations that cue people to the possibility that they might be under scrutiny. Studies 4 and 5 showed how covert
retributivism can become self-sustaining by biasing the lessons people learn from experience. Covert retributivists did not
scale back punitiveness in response to feedback that the justice system makes false-conviction errors but they did ramp up
punitiveness in response to feedback that the system makes false-acquittal errors. Taken together, the results underscore
the paradoxical nature of covert retributivism: It is easily activated by plausible deniability and persistent in the face of falseconviction feedback but also easily deactivated by minimalist forms of accountability.
Keywords
ambiguity, self-deception, impression management, retribution, punishment
Received August 3, 2014; revision accepted January 8, 2015
Psychologists have long suspected that public policy preferences are shaped by factors that people are either unaware of
or unwilling to acknowledge. One of the earliest political
psychologists, Harold Lasswell (1930/1986), advanced a
pithy version of this view: “The distinctive mark of the homo
politicus is the rationalization of the displacement of private
motives in terms of public interests,” (p. 262). This programmatic statement encouraged psychologists to adopt the working hypothesis that the reasons people offer for their policy
preferences are often not the true drivers of those preferences—encouragement that no longer seems necessary given
the widespread skepticism of introspective reports in contemporary research (Bersoff, 1999; Buehler, Griffin, &
MacDonald, 1997; Dawson, Gilovich, & Regan, 2002; Klein
& Kunda, 1992; Monin & Miller, 2001; Mullen & Skitka,
2006; Pezzo & Pezzo, 2007; Redlawsk, 2002; Rousseau &
Tijoriwala, 1999; Tykocinski & Steinberg, 2005). Following
through on this Lasswellian mission does however raise nontrivial methodological challenges. Penetrating veils of rationalizations in political life requires developing and validating
research tools for disentangling true reasons from expressed
reasons (Dawson et al., 2002; Monin & Miller, 2001; Norton,
Vandello, & Darley, 2004).
The current article expands the detection-of-covertmotives agenda into the domain of punitiveness judgments,
the willingness to impose penalties on norm violators. Past
work in this area has focused on such suspect motives as
racial animus (Sniderman, Brody, & Tetlock, 1991;
Sniderman, Piazza, Tetlock, & Kendrick, 1991), system justification (Kay & Jost, 2003; Kay, Jost, & Young, 2005), and
belief in a Just World (Lerner, 1980; Lerner & Lerner, 1981).
Building on this work, the suspect motive in the current article is covert retributivism. Our working hypothesis is that in
certain classes of situations, people want to impose retributive penalties on norm violators that exceed the limits that
society places on punishment, and when that happens, people
look for alternative covert ways of inflicting pain on norm
violators.
Research at a psychological level of analysis has shown
that when people see the perpetrator as culpable (Alicke,
2000; Alicke & Yurak, 1995; Malle & Guglielmo, 2012;
Malle, Guglielmo, & Monroe, 2012; Weiner, Graham, Peter,
& Zmuidinas, 1991; Weiner, Graham, & Reyna, 1997), their
punishment recommendations are influenced by the
1
University of Pennsylvania, Philadelphia, USA
Corresponding Author:
Katrina M. Fincher, Psychology Department, University of Pennsylvania,
3720 Walnut Street, Philadelphia, PA 19104, USA.
Email:
[email protected]
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Personality and Social Psychology Bulletin 41(5)
retributivist goal of rectifying wrongs by imposing penalties
proportionate to the harm done to victims (Carlsmith, 2006;
Tetlock et al., 2007) as well as to society as a whole (Atran &
Ginges, 2012; Ginges, Atran, Medin, & Shikaki, 2007; Haidt
& Graham, 2009). This drive to punish is so strong that individuals will punish even when it is personally costly (Fehr &
Gächter, 2002; Henrich et al., 2006) and when doing so they
violate the norms of procedural justice (Skitka & Houston,
2001; Skitka & Mullen, 2002). The tenacity of retributivism—and its linkage to powerful affective reactions such as
moral outrage (Goldberg, Lerner, & Tetlock, 1999)—makes
it difficult to reduce to coldly cognitive utilitarian-deterrence
calculations (Carlsmith, 2006; Darley & Pittman, 2003;
Goldberg, Lerner, & Tetlock, 1999; McKee & Feather, 2008;
Weiner et al., 1997). Proposed explanations for retributivism
have included the desire to restore moral balance and reaffirm group norms (Durkheim, 1933; Heider, 1958; Tyler &
Boeckmann, 1997; Vidmar & Miller, 1980; Wenzel &
Thielmann, 2006) as well as micro-economic and evolutionary accounts that stress the adaptive value of sending out
“don’t-mess-with-me” signals (Fehr & Fischbacher, 2004;
Sell, Tooby, & Cosmides, 2009).
It is useful however to bear in mind that retributivism
does not trump all other considerations. Many factors come
into play in shaping punitiveness judgments (Okimoto &
Wenzel, 2011; Wenzel, Okimoto, Feather, & Platow, 2008).
For instance, work on restorative justice suggests that people
also care a great deal about restoring relationships between
victims and perpetrators (Okimoto & Wenzel, 2009; Wenzel,
Okimoto, Feather, & Platow, 2008). This focus on restoration
and forgiveness implies a provocative mirror-image conjecture to the one underpinning the current studies: namely that
there may also be situations in which state-imposed punishment exceeds what people think appropriate, and people
engage in covert forms of leniency.
It is also useful to keep in mind that retributivism translates into punishment (as opposed to person-to-person
revenge) only when there is political and institutional oversight of the translation process. Constitutional bans on cruel
and unusual punishment underscore this point. “Punishment”
refers to penalties imposed by legitimate third parties, such
as judges, and implemented by agents of the state (Durkheim,
1933; Weber, 2009). Therefore, to understand the social psychology of punishment, we need to explore the interplay
between the micro-level of analysis, the punitive preferences
of individual citizens, and the macro-level of analysis, the
societal norms that regulate “who can do what to whom for
which transgressions.”
One example of cross-level-of-analysis interplay arises
when human nature changes more slowly than do the cultural-political norms regulating punishment. Work in historical sociology has revealed a rather dramatic trend toward
restricting institutionally permissible forms of punitiveness,
especially in what Henrich, Heine, and Norenzayan (2010)
have labeled the WEIRD world (Western, Educated,
Industrialized, Rich, Developed). With notable cultural-religious exceptions (Edwards, 1995; Ellsworth & Gross, 1994;
Hartman, 1983), retributivism, as gauged by institutionally
orchestrated displays such as public floggings and executions, has declined sharply over the last five centuries (Elias,
1969; Garland, 1991; Pinker, 2011; Spierenburg, 1984). In
the early 21st century, violent retributivism has been officially condemned by the United Nation’s Universal
Declaration of Human Rights. These historical trends are
often explained by invoking evolving societal norms toward
violence and coercion, which have necessitated removing
punishment from public view (Elias, 1969; Garland, 1991;
Pinker, 2011)—and shifting the focus of punishment from
the body to the mind (Foucault, 1977).
This analysis raises many questions, one of which is as
follows: What happens when the retributive penalties that
individuals want to impose exceed the level of punishment
that society permits? Thus far, this question has attracted
more sociological than psychological attention (Garland,
1991). For instance, Merton’s (1949) classic analysis of
delinquency suggests that when individual goals align with
societal norms, people pursue their goals overtly—and when
individual motivations do not align with societal norms, people pursue their goals covertly. Pursuing goals covertly
requires attributional ambiguity—an environment in which
multiple factors could potentially motivate a given behavioral response. Attributional ambiguity therefore creates
plausible deniability about the true drivers behind one’s conduct and thus enables specious reasoning when justifying
questionable goals.
In theory, attributional ambiguity can enable people who
want to be harsh to disguise their harshness—covert retributivism—or enable people who want to be lenient to disguise
their leniency—covert forgiveness. In this article, we focus
on covert retributivism which we suggest is likely when two
preconditions have been met: (a) retributive motives exceed
socially allowed punishment and (b) there is attributional
ambiguity. For example, person could engage in covert
retributivism by arguing that “I am not sentencing criminals
to be assaulted or raped in prison. I am sentencing them to
prison sentences which they deserve and it has unfortunately
proven impossible to prevent incarcerated criminals from
preying on other incarcerated criminals.”
In the real world, it is often impossible to infer true intent
from policy preferences because policies are multidimensional both in their content and consequences. But in the
laboratory it is possible. Psychologists have created research
paradigms that are well suited for uncovering covert motives
in punitive practices—paradigms that rest on the attributional ambiguity premise that people are likelier to act on
unacceptable impulses when they are placed in situations in
which they can plausibly attribute their conduct to an acceptable alternative explanation (Langer, Fiske, Taylor, &
Chanowitz, 1976; Norton et al., 2004; Snyder, Kleck, Strenta,
& Mentzer, 1979). Applying this logic to covert
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Fincher and Tetlock
retributivism, people who feel that society is not tough
enough on criminals will look for covert ways of inflicting
additional pain and humiliation, such as prison violence or
body cavity searches (Foucault, 1977; Van den Haag,
1991)—and when opportunities to do that arise in experiments, they will make use of them:
Hypothesis 1 (H1): When punitive desires exceed societal constraints, people will covertly support violent punishment in proportion to the outrageousness of the offense.
The research literature offers little guidance on the pervasiveness or strength of covert retributivism. In this article, we
focus on two unexplored moderating variables for the manifestation of this motive: (a) external accountability and (b)
error feedback (i.e., information about the rates of false convictions and failures to convict).
Attributional ambiguity and accountability are intertwined constructs. On the one hand, attributional ambiguity
makes it more difficult to hold decision makers accountable
for their preferences. On the other hand, accountability may
cause decision makers to worry that their true motives are
detectable. Our working hypothesis is that when people feel
they are under accountability scrutiny, they will quickly jettison covert retributivism. The reasoning is simple: Covert
retributivism needs to remain covert. People who are making
retributivist judgments under cover of attributional ambiguity should be sensitive to the possibility that others are aware
that they are covertly satisfying socially unacceptable retributivist preferences.
However, it is unclear just how sensitive covert retributivists are to being monitored. Drawing on Lerner and Tetlock
(1999) who postulated a continuum of accountability manipulations—from the minimalist to the maximalist—we chose
to begin our search for checks and balances at the minimalist
end. If covert retributivism can be attenuated by minimalist
forms of accountability—by subtle hints that someone might
be monitoring one’s decisions, with no actual monitoring or
requests for justifications or consequences for poor justifications—then there is no need to deploy more demanding
forms of accountability. Covert retributivism may be easy to
activate and perpetuate but also easy to deactivate, which
leads to our second hypothesis.
Hypothesis 2 (H2): Even minimal accountability manipulations will be sufficient to blow the cover off covert
retributivism and induce punishment setters either to (a)
acknowledge the true retributivist goals they are pursuing
and/or (b) reconsider their non-retributivist rationales for
pain-inflicting decisions.
This second hypothesis highlights the role of second-order
accountability (i.e., “who is watching the watchers?”) in containing covert retributivism. However, as long as covert
retributivism is covert (i.e., difficult to detect by both those
making decisions and those observing them), it may be difficult to learn from policy feedback. Put simply, to the degree
an individual is unaware that she is trying to achieve a goal,
she will be less likely to notice when she has gone too far in
pursuit of that goal—and less likely to learn from feedback.1
One key trade-off confronting individuals making punishment judgments involves setting the thresholds for determinations of guilt. Threshold setting requires balancing the
need to avoid making false-positive errors in criminal-justice
systems (i.e., punishing the innocent) and false-negative
errors (i.e., acquitting the guilty).
From a traditional game-theory perspective that assumes
people are intuitive Bayesians who at least roughly update
their policy preferences in response to environmental feedback, norm enforcers should learn fairly quickly, and equally
quickly, from erroneous convictions and erroneous acquittals
(Axelrod & Hamilton, 1981; Nowak, 2006; Nowak & May,
1993). False-conviction errors highlight the danger of harming the innocent, which should reduce enthusiasm for both
covert and overt retributivism, whereas false-acquittal errors
highlight the danger of the guilty escaping justice, which
should increase enthusiasm for both covert and overt
retributivism.
However, there are two distinct psychological reasons for
hypothesizing that attributional ambiguity creates obstacles
to learning. First, basic research on classical and operant
conditioning has repeatedly shown that animals, humans
included, have more difficulty learning new associations in
noisy environments in which the true signal is embedded in
distractor stimuli. For instance, classical conditioning
researchers have demonstrated blocking and backwardblocking effects in which it is harder to learn associations
between an action and a consequence when the consequence
is associated with multiple actions (Kamin, 1969; Rescorla,
1970, 1988). Attributional ambiguity degrades the link
between actions and consequences by creating multiple
explanations for actions, and thus uncertainty about the true
stimulus drivers of behavior. In essence, when sanctions are
overt (e.g., people know that they are assigning norm violators to violent prisons precisely because they are violent), the
feedback connection between having imposed a violent
sanction and the consequences of such a sanction is transparent because there is no competing or distracting information.
When there is attributional ambiguity, there is competing
information (the socially acceptable pretexts for choosing
violent prisons provided by the attributional ambiguity
manipulation), and these competing cues can slow or even
prevent learning. This suggests that impairments of learning
occur due to backward blocking and should, therefore, apply
equally, independent of the information about the consequences of such sanction decisions, all of which leads to the
next hypothesis:
Hypothesis 3a (H3a): Covert retributivists will find it
equally hard to learn (adjust policy preferences) from
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Personality and Social Psychology Bulletin 41(5)
false-positive errors (sending the innocent to violent prisons) and false-negative errors (failing to incarcerate the
guilty)—errors that are inevitable in any criminal-justice
system.
By contrast, a motivated-reasoning perspective predicts
asymmetric disruptions of learning (Kunda, 1990). In this
view, people are often adept at maintaining false beliefs in
spite of contradicting evidence—and are slow to learn lessons from history that they do not wish to learn. Applying
motivated reasoning to punishment when retributivist motivation to punish is high suggests that people should learn
quickly about false negatives (failures to convict the guilty)
because this information will encourage people to become
even more punitive (Goldberg et al., 1998), which is motivationally congruent. By contrast, people should be slow to
learn news about false positives (wrongful convictions), that
on logical grounds should encourage people to become more
circumspect in meting out punishment.
Importantly, motivated reasoning can only occur where
there is ambiguity about the plausibility of competing explanations (Kunda, 1999), therefore it should only impair learning for covert actions. Applying this to punishment suggests
that ignoring news about wrongful convictions should be
cognitively easier for covert than for overt retributivists
because covert retributivists see no need to acknowledge that
the punitive policies they are embracing are part of the punishment (e.g., “I endorse assignment to this prison because it
has lower recidivism or escape rates, not because it is more
violent”). Given that the physical component of the punishment has the psychological status of an unintended but
unavoidable side effect, there is less psychological pressure
to revise that preference in response to news about the risk of
false conviction, all of which leads to the following
hypothesis:
Hypothesis 3b (H3b): Covert retributivists will learn
from failures to convict (misses), but not from false convictions (false positives).
This article reports five studies that tested these four
hypotheses about the interplay between retributivist drives
and the social context in which people make punishment recommendations. These studies examine what occurs when
punitive drives exceed the limits of the punishments society
allows. Study 1 tested the attributional ambiguity hypothesis
that although people in early 21st century America declare an
in-principle aversion to covert corporal punishment (violent
prisons), they will often assign violators of important moral
norms (e.g., murderous pedophiles) to violent prisons when
they can disguise that preference under other rationales (H1).
Studies 2 and 3 tested the power of minimalist-accountability manipulations to contain covert retributivism (H2).
Studies 4 and 5 tested the learning-blockage and motivatedreasoning hypotheses (H3a and H3b) that participants will be
(a) less likely to taper punishment recommendations in
response to a false-positive miscarriage of justice when there
is attributional ambiguity about the connection between
those recommendations and the consequences than when
sanctions are direct; (b) more likely to intensify punishment
in response to a false-negative miscarriage of justice when
there is attributional ambiguity than when sanctions are
direct.
Study 1
Study 1 randomly assigned participants to conditions in
which they role-played a judge who had the option of assigning defendants to violent prisons either covertly (under cover
of attributional ambiguity) or overtly (no cover). We operationalized covert retributivism by adopting a social psychology paradigm widely used to explore covert racial and gender
biases.
In the original task (Monin & Miller, 2001; Norton et al.,
2004), participants selected and then justified the choice of a
job candidate based on one of two resumes which had been
pretested to be comparable, with each candidate possessing
offsetting strengths and weaknesses. In a between-subjects
design, the experimenter counterbalanced which resume was
associated with the disadvantaged group’s candidate and
which with the favored group’s candidate. This design made
it possible to determine both whether discrimination occurred
and whether the justification of choice was untrue. Like the
casuistry task in the racial domain (Norton et al., 2004), our
covert punishment task used two sets of stimuli and counterbalanced the crucial dimension across sets. As Figure 1
shows, the task used two prisons that had been pretested to
be equally undesirable. We manipulated four features of the
prisons: cost, security, recidivism, and rate of general education diploma (GED; high school equivalency) completion.
We then varied (between subjects) which prison was associated with violent sanctions. Given that the prison linked to
corporal harm was counterbalanced across participants, by
aggregating across subjects we could measure (a) the degree
to which participants collectively (though not individually)
harbor violent preferences and (b) the degree to which participants collectively (though not individually) generate justifications for their preferences that align with the true
(experimentally revealed) drivers of their preferences. We
expected greater punitiveness when participants had the
opportunity to keep their preferences to inflict physical harm
covert (because they could justify pro-violent choices by
invoking other features of the prison). “Greater punitiveness” can be gauged relative to a baseline or overt-sanction
condition.
Method
Participants. Participants were 300 (167 male and 133
female) workers on Mechanical Turk who participated for
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Fincher and Tetlock
Prison A
The prison is inexpensive for tax
payers. No funds will have to be reallocated
The prison has had a great number of
security problems. 4 prisoners have
successfully escaped in the past 10 years.
Prison B
The prison is expensive for tax payers.
Funds will have to be cut from things such as
schools programs to support the inmates
incarceration.
The Prison is extremely secure. No
prisoner has ever escaped
Violence Manipulation
Which prison is violent is counterbalanced
The recidivism rate is 67%. This means
67% of individuals who are released will return
to prison.
The recidivism rate is 61%. This means
61% of individuals who are released will return to
prison.
12% of inmates receive a GED while
incarcerated.
7% of inmates receive a GED while
incarcerated.
Figure 1. Prison stimuli used in the study.
US$1.00 payment. The sample was constrained to American
participants. The average participant age was 32.8 years old
(SD = 10.3), middle class (M = 2.4 on a 5-point scale), and
slightly liberal (M = 4.3 on a 7-point scale).
Procedure. Study 1 tested punitive preferences under conditions of high and low ambiguity. All participants read about
a crime and then completed a prison assignment task. Based
on prior work on victim identifiability (Goodwin & Landy,
2014; Loewenstein & Small, 2007) and punishment (Lively
et al., 2014), the crime was designed to provoke maximum
moral outrage: the rape and torture of a 7-year-old girl, Suzie.
Participants then made their punishment decision.
For the punishment decision, participants were randomly
assigned to conditions in which they could either covertly or
overtly sentence the perpetrator to a prison associated with a
high risk of violence. Across conditions, the features of the
punishment decision were identical; however, in the covert
condition, the choice was embedded among other factors so
that the participant’s intentions were not clear. Participants
sentenced the pedophile to one of two prisons: A or B. Each
prison, A and B, had five attributes. Four of the attributes
were basically irrelevant to covert retributivism: cost (expensive or cheap), security (0 or 4 escapes in last 20 years),
recidivism rate (67% or 61%), and GED completion rate
(12% or 7% of inmates). The levels of each of these four
attributes were pre-scaled to create equally desirable prisons
(e.g., variations in cost and security were roughly equally
offset by the variations in recidivism and GED completion
rates). In a between-subject design, embedded randomly
among the other dimensions, was a fifth dimension: brutality
within the prisons (“there is a great deal of gang violence
within the inmate population and as a result there are many
brutal beatings, occasional rapes, and related hospitalizations” vs. “there is little to no gang violence within the inmate
population, and as a result, there are few beatings and no
rapes or related hospitalizations”).
The gauge of covert retributivism was the degree to which
the presence of the fifth factor, prison violence, increased
selection of that prison (“covert” retributivism because people could always argue that the other four features—and not
violence—were driving their choices). After selecting a
prison, participants were asked to select which of the five
dimensions most influenced their choice.
In the overt condition, participants saw three pairs of prisons that varied along the dimensions of security, cost, and
inmate brutalization, respectively. Participants selected a
prison for the perpetrator from each pair of prisons.
Descriptions of each factor were identical to descriptions in
the covert punishment condition.
Results
Selection task. In the overt condition, 91.2% (124/136) and
89.7% (122/136) of participants preferred the safer and
cheaper prisons, respectively—and 81.6% (111/136) preferred the less violent prison. This suggests that an overwhelming majority preferred the non-violent prison when it
was transparent which factors were driving their
preferences.
In the covert condition, we began by testing whether the
prisons (controlling for which one was designated violent in
counterbalancing) were equally matched: 49% (85/175) of
participants picked Prison A over B, a non-significant difference, χ2(1, 174) = .03, p = .87. We then tested and found
support for H1 that participants making choices under
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0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0
Prison A
Prison B
Prison A
Violent
Cost
Prison B
Non-violent
Securit
Violence
Recidivism
GED
Figure 2. Participants’ response to the prison task in Study 1.
Note. The bars represent the proportion of participants selecting Prison
A or B as a function of the presence of violent sanctions. The colors
represent justification for prison choices as a function of subjects
endorsing option as the most important feature in decision.
attributional ambiguity would prefer the violent prison, χ2(2,
173) = 24.02, p < .01. When Prison A was violent, 68%
(55/80) picked it, χ2(1, 173) = 5.1, p = .024. When Prison B
was violent, only 32% (65/95) picked Prison A, χ2(1, 173) =
5.76, p = .016.
Justification of choices. Participants invoked cost and security
as the key drivers of their choices. For Prison A—which was
superior on the dimension of lower cost—71% of participants offered cost as the justification of their choices. For
Prison B—which was superior on security—62% offered
security as their justification. Most revealingly, only 5% of
participants who selected the violent prison invoked inmate
violence as a justification, whereas 35% of those who
selected the non-violent prison invoked inmate violence as
their justification. Endorsers of the violent option had significantly different patterns of choice justifications as a function of when Prison A or Prison B was more violent, χ2(1,
119) = 46.28, p < .01, whereas endorsers of the non-violent
prison did not alter their justifications, χ2(1, 54) = .43, p =
.512. This change in justifications, in conjunction with the
change in preferences, suggests that endorsers of the violent
prison were misattributing their preferences to features of
prisons unrelated to violence. See Figure 2 for an illustration
of the relationship between the selection task and choice
justification.
societal norms, people who are sufficiently morally outraged
find alternative outlets for expressing these motives.
In dissecting covert retributivism, it is important to distinguish primary and secondary sanctions. Primary sanctions
are those directly inflicted by the state, such as imprisonment, whereas secondary sanctions are foreseeable sideeffects of primary sanctions, such as assignment to a violent
prison. A follow-up survey experiment shows that people are
wary of secondary sanctions that are explicitly spelled out.
We asked 200 participants to endorse or reject the primary or
secondary sanctions for the crime described in Study 1. As in
Study 1, when secondary sanctions were explicitly foreseen,
only 8.4% (18/200) selected the violent prison. However,
when the same secondary consequence was transformed into
a primary sanction—and inflicted by the state as corporal
punishment—42% (89/200) of participants endorsed the use
of this sanction.
These post-experimental data in conjunction with the
results of Study 1 suggest that, for certain classes of crimes,
respondents would prefer that the state administer beatings
over other criminals doing the job. If the state would not do
what respondents feel it should do, overt and covert responses
differ. Overtly, participants dismiss secondary sanctions as
wrong, while covertly participants respond as though criminals doing it is better than nothing at all. Consistent with H1,
preferred punishments do sometimes exceed socially available punitive outlets and when this tension arises, people
who oppose secondary sanctions when there is no attributional ambiguity become receptive to the idea when there is
attributional ambiguity.
Study 2
Study 1 revealed an inconsistency between moralistic principles and punitive practice. We argue that this discrepancy
will arise whenever attributional ambiguity creates plausible
deniability that participants can use to obfuscate their underlying retributivist goal. However, Study 1 fails to specify the
boundaries of covert retributivism. Study 2 tests H2a:
Whether small accountability nudges can sensitize covert
retributivists to the true reasons behind their choices and disrupt the rationalization process documented in Study 1. If
true, people should begin to acknowledge the desire to inflict
pain as the real driver behind their punishment selection.
However, if people do not have introspective access to their
retributivist motives—or are unwilling to budge from the
socially desirable response options—the accountability
nudge in Study 2 should have no effect.
Study 1 Discussion
Study 1 showed that people select violent sanctions when
they had the opportunity to misattribute their selection to a
socially acceptable rationale. People are much more willing
to endorse violent sanctions covertly than overtly. It would
appear that although retributivist motives are constrained by
Method
Participants. In all, 223 (121 female, 102 male) undergraduates at a northeastern university completed the study in individual computer terminals and were each paid US$10. The
average age of participation was 20.1 (SD = 1.0).
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Fincher and Tetlock
Participants reported that their political attitudes were liberal
(M = 5.6 on a 7-point scale). They were recruited through a
behavioral lab on campus. The study was run for 1 week, and
the sample size was determined by the number of sign-up
volunteers.
Procedure. Participants sat at computer terminals separated
by partitions, so that they could not see one another. The
study used a 2 (Painful Sanction: A is painful or B is painful)
× 2 (Accountability: minimalist, none) factorial design. The
structure of the study was identical to the covert condition in
Study 1 except, prior to choice justification, there was a selfreflection manipulation.
Participants read about the violent and gruesome murder
of 10 children (a single identifiable victim was described).
Because the selection task involved choosing a method of
capital punishment, the perpetrator and his actions were
designed to elicit maximally punitive sentiments. After reading the description, punitive sentiments were measured indirectly using assignment to execution facility.
Participants could assign the convicted felon to one of
two execution facilities which were created by pairing variables pretested as important (cost and risk in transporting
felon) and variables pretested as unimportant (nail discoloration and unpleasant scent), so that each execution method
dominates on one variable. In these variable pairs, one option
was clearly superior and one option was clearly inferior for
each execution method. In a between-subject design, embedded randomly among the other dimensions, was a fifth
dimension: pain felt during execution (“a moderate to great
deal of pain” or “a small to moderate degree of pain”). This
allowed participants to select the painful execution, but attribute it to a social acceptable rationale.
In the minimalist-accountability manipulation, after
selecting an execution facility, but prior to justifying their
choice, a research assistant turned on a computer camera, but
did not set the camera to record. Participants knew the camera was not recording. Participants then justified their choice
in the execution selection task using one of the five attributes
that had been manipulated.
In the no accountability condition, the research assistant
did not turn on the web camera and participants completed
the execution selection task without interruption. During the
debriefing, participants indicated the extent to which they
experienced psychological discomfort from the study on a 0
to 100 scale.
Results
Although participants could select any of the five attributes
as the primary reason for choosing Execution Method A or
Execution Method B, the only attribute that we can say, with
experimental precision, could be misattributed is “the degree
of painfulness.” Therefore, we recoded justification of choice
as a binary variable which indicated if individuals used “the
degree of painfulness” to justify choice. If individuals used
“the degree of painfulness” to justify their choice, their
response was coded as 1; if individuals used any other form
of choice justification, their response was coded as 0. We
then used binomial logistic regression to predict decision
justification from execution choice, minimalist accountability, and painfulness of sanction.
The test entered three predictors (two manipulated independent variables: minimalist accountability and painfulness
of sanction) and their interaction. Results suggest that the
minimalist-accountability manipulation and the interaction
between sanction painfulness and accountability were robust
predictors of choice justification: bs = 3.3 and −1.7, standard
errors (SE) = 1.1 and 0.84, Walds = 8.4 and 4.1, p < .01, p <
.05. The main effect of the minimalist-accountability manipulation indicates that individuals used pain as a choice justification more frequently when there was even the hint of
scrutiny that turning on the computer camera provided. The
interaction indicates that in the minimalist-accountability
condition, “the degree of painfulness” was most likely used
as a justification when participants selected the painful execution; however, in the control condition, “the degree of
painfulness” was likeliest to be invoked as a justification
when participants selected the non-painful execution. The
execution choice and condition were not even remotely significant, p = .44 and .45, as one would predict if randomization had been effective.
Study 2 Discussion
Study 2 revealed sharp boundary conditions on the effects of
attributional ambiguity. Even minimalist-accountability
manipulations can make people acknowledge violent punitive preferences they would otherwise conceal, which is not
what we would expect either if people had no introspective
access to their judgment process (and were unaware that they
were doing anything impolitic) or if they were aware of what
they were doing but felt they could plausibly insist that only
socially desirable rationales were driving their choices.
Study 3
Study 2 suggests that even a slight accountability nudge can
sensitize people to the true reasons behind their choices. But
it did not demonstrate any effect on choice: that is, it demonstrates that people will only endorse covert sanctions when
they see no hint that their decisions will be subject to any
form of accountability scrutiny. Therefore, in Study 3, we
tested H2b: that attributional ambiguity will not enable
covert retributivism when people suspect any possibility of
scrutiny (a minimalist form of accountability; Lerner &
Tetlock, 1999).
Instead of the non-operational camera in Study 2, we created a different type of accountability nudge. We placed photos of human eyes in the header of the survey. Recent studies
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Personality and Social Psychology Bulletin 41(5)
have shown that people are surprisingly responsive to subtle
cues of being watched, such as the presence of eye-like spots
on the background of the computer on which they complete
the task (Burnham & Hare, 2007; Haley & Fessler, 2005).
Method
Participants. In all, 206 (98 male and 108 female) students at
a northeastern university completed the study in individual
computer terminals and were each paid US$10. The average
age of participation was 20.6 (SD = 0.9). Participants reported
that their political attitudes tilted liberal (M = 5.4 on a 7-point
scale). Participants were recruited through a behavioral lab
on campus. The study was run for 1 week, and the sample
size was determined by the number of students who signed
up to participate.
Procedure. The study was a 2 (Prison type: A is violent or B
is violent) × 2 (Accountability nudge: yes, no) factorial
design. Participants were seated at computer terminals separated by partitions, so that they could not see each other. The
design of the study was identical to the covert condition in
Study 1, except the header of the survey varied across
participants.
The content of the page header varied between subjects,
and it was designed to manipulate participants’ sense of
being monitored by varying the presence of images of eyes.
The page header consisted of a segment of 1 of 10 different
modernist paintings. For half of the participants, the segment
of these paintings used in the header was focused predominately upon the eyes. For the other half, the painting segments did not include eyes (or other signs of human presence),
but were otherwise matched for the artist, the predominant
colors, and the visual focus. An example pair of pictures is
Vincent Van Gogh’s 1889 sunflower and his 1889 selfportrait, both painted at St. Remey. Below the header image,
the experimental task was listed. On the first page, participants read a description of a violent rape (used in Study 1).
On the second page, participants completed the prison-selection task from the covert punitive condition in Study 1.
Results
As expected, the prisons were equally matched: 54%
(122/225) of participants picked Prison A over B, a nonsignificant difference, χ2(1, 225) = 1.60, p = .21. Also, 56%
(125/225) of participants picked the violent over the nonviolent prison, a non-significant difference, χ2(1, 225) = 2.78,
p = .09.
To capture the hypothesized interaction (H2b), we used a
log-linear analysis. Participants who received the weak
accountability nudge did not express covert punitiveness in
response to attributional ambiguity, unlike those in the control group G2(3, 208) = 20.2, p < .001. Whereas 69% of control participants selected the violent prison, only 42% of the
minimalist-accountability participants selected the violent
prison, χ2(2, 225) = 15.61, p < .001.
In the control condition, when violence was linked to
Prison A, 71% picked Prison A. When violence was linked to
Prison B, only 34% picked Prison A, a significant effect,
χ2(2, 113) = 14.89, p < .001.
Conversely, in the minimalist-accountability condition,
preferences were not significantly swayed by which prison
was associated with violent outcomes. When violence was
associated with Prison A, 47% picked Prison A. When violence was associated with Prison B, only 36% picked Prison
A, a non-significant difference, χ2(2, 112) = 3.95, p = .13.
Study 3 Discussion
Consistent with H2b, the minimalist-accountability nudge
reduced expressed preferences for the violent prison.
Specifying exactly what is challenging. Impression management explanations (which focus on the views that others hold
of the self) and intrapsychic explanations (which focus on
preserving one’s self-image) have long been known to be difficult, if not impossible, to disentangle (Tetlock & Manstead,
1985). For instance, reducing accountability to external audiences may make individuals less reflective and feel less
accountable to internalized audiences. Conversely, lie-detection manipulations such as the bogus pipeline (Jones &
Sigall, 1971) induce self-reflection and awareness and thus
make individuals feel more accountable to both external and
internal audiences (Tetlock & Manstead, 1985).
That said, it seems unlikely in this case that the behavioral
changes induced by the minimalist-accountability manipulations are deliberate given that no reasonable person would
consciously suppose that representations of human eyes on
the computer screen were looking back at them. It also seems
unlikely that minimalist-accountability inductions merely
make people more self-aware and that this would induce
already self-aware impression managers to rein in covert
retributivism. Of the remaining explanatory options, we see
one or a combination of the following two as the most plausible: (a) the effects of attributional ambiguity on punitiveness are the product of deliberate impression management
but people unconsciously become more risk-averse impression managers in response to minimalist-accountability
nudges which are associated with surveillance and potential
punishment (“the guilty flee where no man pursueth” would
be the Biblical version of this hypothesis); (b) the effects of
both attributional ambiguity and minimalist nudges are
mediated by processes outside of awareness and underscore
the sophistication with which people can balance unconscious goals (Bargh & Chartrand, 1999; Hogan, 1982; Hogan
& Blickle, 2013; Langer, Blank, & Chanowitz, 1978).
Regardless of the exact mix of impression management or
intrapsychic processes underlying the behavioral change, the
results of Study 3—in conjunction with those of Study 2—
suggest that minimalist-accountability manipulations
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Fincher and Tetlock
(nudges) can both sensitize people to the reasons behind their
choices as well as alter their actual choices.
Study 4
The first three experiments identified conditions under which
people endorse covert sanctions toward isolated acts of criminality. In actual criminal-justice systems, however, decision
makers assess a wide range of acts and occasionally get feedback on their mistakes. Experiment 4 focuses on the feedback
effects of the error that the Anglo-American justice systems
have traditionally assigned highest priority to avoiding: falsepositive convictions of the innocent (Blackstone, 1875).
Both deterrence theories and retribution theories of justice suggest that learning of a false-positive conviction
should incentivize those making punishment decisions to
consider throttling back the severity of sanctions. For
instance, rational-deterrence theory posits that lower conviction thresholds reduce the need for severe sanctions because
would-be offenders are deterred by the high risk of punishment in itself (Polinsky & Shavell, 1998; Sunstein, Schkade,
& Kahneman, 2000). Intuitive deterrence theorists should
thus see false-positive convictions as a sign that conviction
thresholds are low enough to reduce the need for severe (violent) punishment. In a similar vein, retributivist theories treat
the (judicial or extra-judicial) infliction of harm on the innocent as a serious error and grounds for giving second thought
to the severity of the sanctions being imposed, especially
when those sanctions are seen as irreversible.
Experiment 4 explores responsiveness to false-positive
errors by again asking participants to perform an overt or
covert punishment-selection task before and after obtaining
information about the false-positive propensities of the criminal-justice system.
Method
Participants. Participants were 242 (128 male and 114
female) workers on Mechanical Turk who participated for
US$1.00 payment. The sample was 73% Indian, 16% American, and 11% other. The average age of participation was
35.7 (SD = 10.3), middle class (M = 2.9 on a 5-point scale),
and very slightly liberal (M = 3.9 on a 7-point scale).
In the first part of the study, participants read a description
of the crime and recommended a punishment (either covertly
or overtly).2 In the second part of the study, participants punished a second individual, for the same class of crime, however, had new information about the penal system’s accuracy.
In the first phase of the study, participants read a description of a criminal conviction process that passed all the standard tests of procedural justice: The pre-trial investigation
was fair (the investigators were diligent, unbiased, and followed the protocol exactly), the trial was fair (the judge and
jury were impartial), the man had an outstanding defense
attorney, and a jury of his peers found him guilty. The man
was convicted of rape, assault, and kidnapping and sentenced
to 5 years in prison. Participants had the opportunity to recommended extra punishment.
In the overt condition, participants were told that they had
the option of adding an additional punishment to the sentence. Participants could choose between a prison term without beatings and a prison term that included a severe beating
resulting in several weeks of hospitalization. This condition
measured formal endorsement of corporal sanctions and
therefore was substantially different from the overt condition
in Study 1, which asked participants to select violent or nonviolent prisons. In the covert condition, participants were
given the opportunity to assign the perpetrator to one of two
prisons, using the selection task from the covert condition of
Study 1. As in Study 1, participants were randomly assigned
to violent sanctions being associated with either Prison A or
Prison B. To equate injuries across conditions, the violence
in the prison was described as the “minimum of a severe
beating resulting in several weeks of hospitalization.”
In the second part of the study, participants learned that
DNA testing had exonerated the man they had just either
overtly or covertly punished. Participants then learned of
another similar crime. The trial description included the
same indications of procedural justice. Participants learned
that the man had been found guilty and sentenced to 5 years
in prison. Participants were again given the same opportunity
to assign extra punishment. Participants viewed the same
options they viewed in Part 1 of the study and made a second
selection.
Results
In the initial selection task, a surprisingly large percentage,
70.7%, of participants in the overt condition preferred the
violent over the non-violent sanction and 72.2% of participants in the covert condition of individuals preferred the violent sanction, a non-significant difference across groups,
χ2(1, 241) = .1, p = .92. Overall, the violent sanction was
preferred 71% (171/242) of the time.
To explore the main and interactive effects of conviction
errors, past choice, and attributional ambiguity—and to test
H3—we used a log-linear analysis. The significant threeway interaction suggests differential patterns of revision
depending on attributional ambiguity, G2(3, 241) = 79.32,
p < .001. In the second punishment task, participants in the
overt- and covert-sanctions condition reacted markedly differently when made aware of the earlier false-positive conviction. When the sanctions were overt, 90% of endorsers of
the violent sanction changed their punishment recommendation, whereas only 20% of endorsers of the non-violent sanction changed their sanction, a significant difference,
consistent with the hypothesis that learning should be
straightforward when there are transparent linkages between
decisions and outcomes, G2(1, 115) = 61.35, p < .001. In contrast, when sanctions were covert, those opting for the
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Personality and Social Psychology Bulletin 41(5)
violent versus non-violent sanction were as likely to change
as maintain their selection: 42% of those who endorsed the
violent sanction revised their punishment recommendation,
whereas 37% of those who selected the non-violent sanction
revised their sanction, a non-significant differential, G2(1,
125) = 0.34, p = .76.
Study 4 Discussion
Consistent with both H3a and H3b, people making attributional choices under attributional ambiguity did not become
less punitive in response to news of false-positive convictions. But when there was attributional transparency, people
did throttle back punitiveness judgments.
Study 5
Study 4 focused on the feedback effects of the error that
our criminal-justice system prioritizes avoiding: false-positive convictions of the innocent. Study 5 explores whether
the process observed in Study 4 was due to attributional
ambiguity blocking learning (H3a) or to attributional
ambiguity facilitating motivated reasoning, such as ignoring information incongruent with one’s punitive preferences (H3b). Study 4 could not distinguish these
possibilities because the information about the flaw in the
criminal-justice system (a false-positive conviction) was
always incongruent with the heightened retributive desires
elicited by the crime. Study 5 added a condition in which
the information would always be congruent: Learning
about a recent false-negative acquittal should reinforce,
not check, heightened retributivist desires (Goldberg et al.,
1998). If the attributional-ambiguity-blocks-learning-ingeneral hypothesis were true, then learning should be
equally impaired when desires are congruent or incongruent with error feedback. But if attributional ambiguity is
facilitating motivated-reasoning processes (motivated
learning), learning should only be inhibited when desires
and information are incongruent.
Using a 2 × 2 factorial design, we examined the relative
sensitivity to false-positive errors and misses by again asking
participants to perform either an overt or covert punishment
selection task and then providing them with news about
either false-positive or false-negative error rates, and then
the opportunity to revise their recommendation.
Method
Participants. Participants were 422 (278 male and 144
female) workers on Mechanical Turk who participated for
US$1 payment. The sample was 69% Indian, 18% American, and 13% other. The average age of participation was
31.7 (SD = 9.7), middle class (M = 2.4 on a 5-point scale),
and slightly liberal (M = 4.1 on a 7-point scale).
Procedure. The structure of Study 5 was identical to that of
Study 4. In the first part of the study, participants read a
description of the class of crime and recommended a punishment (either covertly or overtly).3 In the second part of the
study, participants were allowed to revise their recommendation based on new information about the accuracy of the
penal system, which indicated either high false-positive conviction rates or high false-negative missed conviction rates.
Participants read a description of the judicial system that
included multiple indications of a just system: fair pre-trial
investigations, fair trials, strong public defenders, and jurybased trials. Participants then read a description and the sentencing guidelines (3-8) years for a class of offenses: rape.
Participants then had the opportunity to recommend an extra
punishment (overtly or covertly) for a subcategory of rape
(child rape).
As in Study 4, in the overt condition, participants were told
that they had the option of adding an additional punishment to
the sentence. Participants could choose between a prison term
without beatings and a prison term that included a severe
beating resulting in several weeks of hospitalization. Again,
this condition measured formal endorsement of corporal
sanctions, and therefore was substantially different from the
overt condition in Study 1. In the covert condition, participants were given the opportunity to assign the perpetrator to
one of two prisons, using the selection task from covert condition of Study 1. To equate injuries across conditions, the
violence in the prison was described as the “minimum of a
severe beating resulting in several weeks of hospitalization.”
In the second part of the task, participants learned that
DNA testing had revealed a systematic bias in the legal system; either a 21% false positive (21% of those convicted
were not guilty) or 42% misses (42% of those acquitted were
guilty). Errors were asymmetrical based on pretesting that
showed people saw the former error as roughly twice as serious as the latter error. Participants then could revise their
punishment recommendation for child rapists; participants
viewed identical text to Part 1 and made the selection again.
Results
In the initial selection task, 62.5% of overt-sanction participants and 69.2% of covert-sanction participants preferred the
violent over the non-violent sanction, a non-significant difference, χ2(1, 241) = 1.79, p = .18. Overall, participants preferred
the violent over the non-violent sanction, 65.9% (278/422), a
significant difference, χ2(1, 421) = 42.5, p < .001. There was
a significant effect of sanction overtness on responsiveness to
error feedback, with more responsiveness in the overt-sanctions
conditions, χ2(7, 415) = 34.98, p < .001.
To explore the effects of judicial errors, past choices, and
attributional ambiguity, we used a log-linear analysis.
Overall, there was a significant interaction between the
overtness of sanctions, the direction of error feedback, and
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Fincher and Tetlock
initial selection, G2(4, 418) = 48.99. This pattern emerged
because individuals were less likely to revise selections
when the sanctions were covert and when feedback indicated
a greater danger of false-positive conviction errors (a result
that is consistent with both H3a and H3b).
For overt sanctions, the interaction between support for
violence and error feedback was highly significant, G2(3,
205) = 75.58, p < .001. Participants preferred violent sanctions when misses were frequent and non-violent sanctions
when false positives were frequent. For covert sanctions, the
first-order interaction was significant, but less pronounced,
G2(3, 211) = 15.56, p < .01. Participants preferred violent
sanctions when there were misses but there was no clear pattern of revision in response to false-positive convictions.
Replicating the results of Study 4, in the revision task when
participants were made aware of false-positive convictions,
participants in the overt- and covert-sanctions condition
responded to such information very differently G2(3, 208) =
43.45, p < .001. As in Study 4, when sanctions were overt and
participants thought that there was a high false-positive conviction rate, 74% of endorsers of the violent sanction revised
their sanction, whereas only 20% of endorsers of the non-violent sanction revised their sanction, a significant difference
consistent with the hypothesis that, in the overt-sanction condition, retributivists back-off quickly in response to the risk of
subjecting the innocent to physical abuse, G2(1, 95) = 29.57,
p < .001. Again, as in Study 4, when the sanctions were covert
and participants thought that there was a high rate of falsepositive convictions, those who endorsed violent over nonviolent sanctions were roughly equally likely to change their
minds: 40% of endorsers of the violent sanction revised their
recommendation and 35% of endorsers of the non-violent
sanction revised their recommendation, a result consistent
with the hypothesis that those assigning offenders to violent
prisons were not making the mental linkage to the risk of brutalizing the innocent, G2(1, 114) = 0.12, p = .735.
Participants in the overt and covert conditions showed
similar responses, G2(3, 207) = 1.04, p = .51. Both groups
were responsive to information about errors. When sanctions
were overt and participants thought that there were many
failures to punish the guilty, 29% of endorsers of the violent
sanction revised their recommendation, whereas 86% of
those who selected the non-violent sanction revised theirs, a
significant difference consistent with the hypothesis that failures to punish the guilty conferred some normative license
for explicit corporal punishment, G2(1, 111) = 39.99, p <
.001. When the sanctions were covert and participants
thought that there was a high rate of failure to punish the
guilty, 35% of endorsers of the violent sanction revised their
recommendation, whereas 71% of endorsers of the non-violent sanction revised theirs, a significant difference, G2(1,
98) = 10.49, p < .005. This pattern of results is consistent
with H3b that those in the covert-sanction condition would
only learn lessons from history that they were motivationally
predisposed to draw.
Study 5 Discussion
These data suggest that covert retributivists are at risk of
becoming prisoners of their punitive preconceptions who
learn from false-negative errors to become more punitive,
but don’t learn from false-positive convictions to become
less punitive. These data also have some bearing on the earlier discussion of the merits of impression management versus intrapsychic explanations for the effects of attributional
ambiguity. If people were fully conscious impression managers, they would have no difficulty detecting the cues that are
driving their judgments, so there should be no impairment of
learning. Given that we observe impairment, this renders a
pure impression management explanation less plausible.
General Discussion
Returning to Lasswell’s proposition, the results of the present studies suggest that punishment decisions are at least
partly shaped by the rationalization imperatives of “homo
politicus.” The displacement of private motives into punitiveness judgments may be particularly dangerous because
covert retributivism has the potential to shape the implementation of institutional policies (Garland, 1993). Put more
concretely, it is one thing to declare an opposition to prison
violence and quite another to take affirmative steps to reduce
violence in prisons.
We explored two hypothesized moderators of the effects
of attributional ambiguity: minimalist-accountability nudges
and error feedback. The former line of work suggests that
attributional ambiguity effects are fragile and even subtle
hints of surveillance reduce them. Studies 2 and 3 should
offer some solace to anti-retributivists who worry that our
findings imply that secondary sanctions, such as prison violence, are an incorrigible latent function of our penal corrections system.
Work on the effects of error feedback should however be
more worrisome to anti-retributivists. Covert retributivism—
as long as it is securely covert—can be stubbornly persistent.
People working under the cover of attributional ambiguity
were unwilling to reduce punitiveness in response to evidence of false-positive miscarriages of justice, but were willing to increase punitive judgments in response to
false-negative miscarriages. This pattern of data is more consistent with the motivated-reasoning account than with the
classical-learning “blockage” account, which predicts an
across-the-board failure to modify judgments in response to
error feedback cutting across both false positives and false
negatives (Rescorla, 1988). From a motivated-reasoning perspective, it may just be too tempting for covert retributivists
confronting false-positive errors to defend their self-images
by simply continuing to use the attributional covers provided
for them (“balancing all factors, I still recommend this
prison”). It may also simply be too easy for covert retributivists confronting false-negative errors to satisfy their increased
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Personality and Social Psychology Bulletin 41(5)
need for retribution by relying even more extensively on violent prison assignments made under the cover of ambiguity.
These data suggest that the problem is not that society is
just slow to learn what it is doing. Society may learn so selectively that it drifts toward ever greater reliance on covert
punitiveness as a method of social control. These data also
raise an intriguing question for follow-up work: How negative do systemic malfunctions need to become to break the
grip of covert retributivism on policy reasoning?
Although the current studies focused on covert retributivism, the mirror-image phenomenon, covert forgiveness, is
also a distinct theoretical possibility. In our framework,
covert forgiveness requires two preconditions. The first precondition is that society is more punitive than people desire.
Given prior work on restorative justice motives (Wenzel,
Okimoto, Feather, & Platow, 2008; Okimoto & Wenzel,
2009) as well as work on the power of individuating information to “humanize” objects of judgment (Loewenstein &
Small, 2007), excessive punitiveness likely occurs. For
example, many U.S. citizens oppose the death penalty and
widespread use of solitary confinement in prisons. The second precondition is that forgiveness is widely considered
counter-normative, such as jury nullification in which jurors
refuse to convict a clearly guilty person because they see the
punishment as excessive.
Promising candidates for observing covert forgiveness
involve applications of federally mandated sentencing guidelines and three strike laws, which require imposing long
prison sentences for possessions of small quantities of narcotics or small acts of theft (sometimes even for first offenders). In addition to jury nullification, covert forgiveness
could take the form of granting furloughs, conjugal visits,
and favorable work duty assignments. The covert functions
of individual discretion can thus cut in the direction of both
covert forgiveness as well as covert punitiveness.
In closing, it is worth asking if secondary sanctions are,
indeed, a latent function of our penal system—as the current
data suggest—what is the appropriate reaction to this controversial empirical demonstration? One response might be to
argue for prison reform and, in the interim, greater leniency.
Weisberg and Mills (2003) pose the following judicial
thought experiment in which an attorney advances the following argument for his client: “Your Honor, it is unfair and
disproportionate to sentence my client to jail, since it will
almost certainly subject him to violent attacks and sexual
assault while incarcerated. Any sentence of incarceration
effectively includes these ‘secondary’ sanctions.”
Another response might be to argue for revisiting the constitutionality of physical punishment, especially if it is carefully calibrated. Moskos (2011) notes that offenders
themselves might well prefer such penalties to incarceration,
and sharply painful penalties might have more extreme retrospective disutility (Kahneman, Fredrickson, Schreiber, &
Redelmeier, 1993), and hence greater deterrence value. The
current article sheds no light, of course, on the appropriate
societal response. It does, however, illustrate the power of
experimentation to disentangle the manifest from the latent
functions of societal practices as well as its power to highlight the ensuing risks of excessive rigidity and policy-lockin effects.
Acknowledgment
We thank Greg Mitchell, Shefali Patil, Nick Rohrbaugh, and the
associate editor Michael Wenzel for their constructive comments
on earlier drafts of this manuscript.
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect
to the research, authorship, and/or publication of this article.
Funding
The author(s) disclosed receipt of the following financial support
for the research, authorship, and/or publication of this article: This
research was supported by the Penn Integrates Knowledge Endowed
Chair at the University of Pennsylvania.
Notes
1. One could argue that covert retributivism will be most disruptive of learning if people are unaware of the retributivist drivers
of their judgments, as opposed to trying to conceal those drivers
from others. If so, our findings of failure to learn from negative
feedback tip the scales of plausibility in favor of the view that
covert retributivists are not fully aware of what they are doing.
2. It is important to note that in this study, we are not only contrasting covert and overt sanctions. Because we are concerned with
system learning, we are contrasting primary sanctions and secondary sanctions more generally. Primary sanctions are directly
inflicted by the state, whereas secondary sanctions are foreseeable side-effects of state actions. For example, in the domain
of corporal punishment, caning would be a primary sanction in
Singapore but a foreseeable prison beating would be a secondary sanction.
3. Again, because we are concerned with system learning, we are
contrasting primary sanctions and secondary sanctions.
Supplemental Material
The online supplemental material is available at http://pspb.
sagepub.com/supplemental.
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