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The “Commitment Trap” Revisited: Experimental Evidence on Ambiguous Nuclear Threats

Published online by Cambridge University Press:  10 March 2023

Michal Smetana*
Affiliation:
Charles University, Faculty of Social Sciences, Smetanovo nabrezi 6, 110 00, Prague, Czech Republic
Marek Vranka
Affiliation:
Charles University, Faculty of Social Sciences, Smetanovo nabrezi 6, 110 00, Prague, Czech Republic
Ondrej Rosendorf
Affiliation:
Charles University, Faculty of Social Sciences, Smetanovo nabrezi 6, 110 00, Prague, Czech Republic
*
*Corresponding author. Email: [email protected]
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Abstract

In this paper, we provide an empirical test for the theoretical claim that ambiguous nuclear threats create a “commitment trap” for American leaders: when deterrence fails, supposedly they are more likely to order the use of nuclear weapons to avoid domestic audience costs for backing down. We designed an original survey experiment and fielded it to a sample of 1,000 U.S. citizens. We found no evidence of a commitment trap when ambiguous nuclear threats are made. Unlike explicit threats, ambiguous ones did not generate domestic disapproval when the leader backed down; the decision to employ nuclear weapons led to more public backlash for the leader than being caught bluffing; and the threats did not influence public preference for nuclear use across our scenarios. Our findings contribute to the scholarly literature on nuclear crisis bargaining and policy debates over the future of US declaratory policy.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of American Political Science Association

Introduction

In his seminal International Security article, Sagan (Reference Sagan2000) made a case against the use of nuclear threats to deter chemical and biological weapon attacks. To this end, the US declaratory policy has long been based on the principle of “calculated ambiguity” regarding the nature of its response. The policy allows American leaders to engage in deliberately vague messaging that implicitly entails the possibility of nuclear retaliation to unconventional attacks against the USA, its troops, or its allies (Lanoszka and Scherer Reference Lanoszka and Leo Scherer2017). Perhaps the most prominent real-world example of such ambiguous nuclear threats was the US attempt to deter Iraq from using chemical weapons during the First Gulf War: in 1991, President Bush sent Saddam Hussein a message that “the United States will not tolerate the use of chemical or biological weapons […] You and your country will pay a terrible price if you order unconscionable acts of this sort,” while Secretary of State Baker added that “American people will demand vengeance. And we have the means to exact it” (Buch and Sagan Reference Buch and Sagan2013).

According to Sagan, such ambiguous nuclear threats do not merely reflect a commitment to use nuclear weapons; they also create a commitment to do so. As a result, if deterrence fails, American leaders might end up being caught in a “commitment trap,” forcing them to employ nuclear weapons to avoid the reputational costs for backing down. In Sagan’s (Reference Sagan2000, 87) words, “if [chemical weapons] or [biological weapons] are used despite such threats, the U.S. president would feel compelled to retaliate with nuclear weapons to maintain his or her international and domestic reputation for honoring commitments.” If this argument holds, calculated ambiguity increases the risk of nuclear use in crises. However, we lack empirical evidence that the relevant audiences indeed perceive ambiguous threats according to Sagan’s theoretical assumptions.

In this paper, we examine whether the commitment trap argument holds vis-á-vis the American public. We fielded an original survey experiment in the USA to test several hypotheses theoretically grounded in “audience costs” literature (Fearon Reference Fearon1994; Tomz Reference Tomz2007; Levendusky and Horowitz Reference Levendusky and Horowitz2012; Kertzer and Brutger Reference Kertzer and Brutger2016). Using vignettes and fictional social media posts to describe the development of a crisis between the USA and North Korea, we experimentally manipulated the formulation of the US President’s deterrence threat and the subsequent US response when the threat failed to deter North Korea’s chemical attack.

Our results show little evidence for a commitment trap with respect to ambiguous nuclear threats. Unlike explicit nuclear threats, ambiguous ones did not generate domestic disapproval in the case of backing down from nuclear use. Moreover, the decision to order nuclear strikes led to more public backlash than being caught bluffing. Finally, neither ambiguous nor explicit nuclear threats influenced public preference for nuclear use.

In the following sections, we (1) present our theoretical framework, (2) formulate our hypotheses, (3) introduce our experimental design, (4) present the results, and (5) discuss the implications of our findings.

Theoretical framework

Our approach to the study of the “commitment trap” is theoretically grounded in the “audience costs” literature. Fearon (Reference Fearon1994) originally coined the concept of audience costs to explain why democracies are able to signal military threats in crisis bargaining more credibly than authoritarian states. He proposed that leaders in democracies that escalate and then back down suffer a loss of popularity at home. The micro-mechanism behind this effect is the public preference for consistency driven by reputational or normative concerns (Tomz Reference Tomz2007, 833–36). Publicly issued threats supposedly “tie hands” of leaders, which makes signaling inherently more credible given the ex-post audience costs that would be generated if the leaders do not follow through with their commitment (Fearon Reference Fearon1997).Footnote 1

Let us follow Kertzer and Brutger (Reference Kertzer and Brutger2016, p. 237) by visualizing this dynamic through two types of graphical representations. In Figure 1, we show a nuclear crisis bargaining game tree, with nodes indicating the player and the decision-making point in time.Footnote 2 In node 1, Player 1 is deciding whether to issue a nuclear threat (α 2 ) or not (α 1 ). Player 2 decides whether to attack or not in nodes 2a and 2b, respectively. If she does, Player 1 faces an option of whether to order the use of nuclear weapons (β 1 ) or not (β 2 ) in corresponding nodes 1a and 1b. The letter μ then shows the pay-off for Player 1, which corresponds to the public approval as the game resolves. Table 1 shows this decision-making structure as a 2 × 2 experimental notation.

Figure 1. Decision-making tree for a nuclear crisis bargaining game.

Table 1. Experimental notation for a nuclear crisis bargaining game

If ambiguous nuclear threats indeed create a commitment trap for the US President, not following through with the threat should generate domestic audience costs. As other scholars have found in survey experiments on foreign interventions (Kertzer and Brutger Reference Kertzer and Brutger2016; Levendusky and Horowitz Reference Levendusky and Horowitz2012; Tomz Reference Tomz2007), the level of public approval should be lower when the leader backs down from the threat (μ 22) than in a corresponding scenario where the leader did not issue the threat in the first place (μ 12). When all other aspects of the scenario are equal, the difference in approval between the two outcomes (μ 12 – μ 22) is the absolute domestic audience cost paid by the leader.

It is worth noting that our approach partially deviates from the traditional audience costs experiments by operationalizing the “back down” option β 2 as a non-nuclear yet still military response rather than “doing nothing.” The main reason was to capture the actual policy dilemma discussed by both Sagan (Reference Sagan2000, pp. 112–5) and his critics (Martin and Sagan Reference Martin and Sagan2001, p. 193), which is about choosing between a nuclear or conventional military response rather than a nuclear or nonmilitary response. A scenario where the US president does nothing in response to a chemical strike against US troops and allies is arguably unrealistic; in fact, there is a recent precedent of US military strikes in response to Syria’s chemical use even though neither American troops nor allies came to harm, with US President scoring approval points across the political spectrum for ordering these strikes (Doucet Reference Doucet2018).

Our approach may, therefore, resemble the work of Lin-Greenberg (Reference Lin-Greenberg2019), who found that leaders could reduce audience costs for not following through with their threat by “backing up” to a less hawkish policy (e.g., air strikes or economic sanctions rather than a full invasion in the traditional audience costs setup). However, we do not know whether “backing up” is acceptable for the US public even when the chemical “taboo” is violated (cf. Bentley Reference Bentley2014) and American lives are lost, which is a considerably more extreme case than a foreign intervention described in the traditional audience costs scenarios. Moreover, Lin-Greenberg only investigated policy substitution strategies for explicit threats, and it remains to be seen whether “backing up” after ambiguous threats also merely reduces audience costs or eliminates them altogether.

Hypotheses

To test the audience costs logic for ambiguous nuclear threats, we formulate the following hypothesis:

H1: Leaders suffer domestic disapproval when they issue ambiguous nuclear threats and then back down from using nuclear weapons when deterrence fails.

If ambiguous nuclear threats do not generate audience costs, there are two explanations for why that might be the case. It is conceivable that the vague formulation of the threat does not create the commitment in the same way an explicit threat would. However, it is also possible that the public simply does not punish the leader for not following through with nuclear use, its specific formulation notwithstanding. If the former applies, we expect that the audience costs for the explicit threat will be higher than for the ambiguous threat (μ 12 – μ 22 EXP > μ 12 – μ 22 AMB). If the latter applies, we expect that both threats generate comparable audience costs (μ 12 – μ 22 EXP = μ 12 – μ 22 AMB). This leads us to two competing hypotheses:

H2a: Explicit threats generate larger audience costs than ambiguous threats.

H2b: There is no statistically significant difference between audience costs generated by explicit and ambiguous threats.

Under the commitment trap logic, the leaders perceive that they must use nuclear weapons to avoid public resentment for backing out when deterrence fails. The public should, therefore, disapprove more of the leaders’ empty threats than of the actual nuclear use (μ 21 > μ 22). Otherwise, it would be more beneficial for the leaders to renege on their commitment than undertake an action that generates more public backlash than being caught bluffing.

H3a: When deterrence fails following the leaders’ ambiguous nuclear threat, the public is less likely to approve of their handling of the crisis if they do not follow through with nuclear use.

H3b: When deterrence fails following the leaders’ ambiguous nuclear threat, the public is less likely to approve of their handling of the crisis if they follow through with nuclear use.

Another piece of evidence for the commitment trap would be a higher public preference for nuclear use following the leader’s ambiguous threat. Earlier studies have found that the public preference for nuclear use is subject to consequentialist reasoning (Dill, Sagan, and Valentino Reference Dill, Sagan and Valentino2022; Press, Sagan, and Valentino Reference Press, Sagan and Valentino2013). In our study, the consequentialist reasoning could be related to the concern that not following through with nuclear use after an ambiguous nuclear threat could negatively impact the country’s reputation and the credibility of US coercive signaling in future crises.

H4: When deterrence fails, the public is more likely to prefer the use of nuclear weapons if their leader issued an ambiguous nuclear threat.

Experimental design

We designed an original survey experiment with 3 × 2 conditions and fielded it to a sample of 1,001 adult Americans through the Prolific online platform. We used quotas on gender and political identification to get a more balanced and representative sample. Additionally, we obtained individual-level data on age, income, and education to be used as control variables in our analyses.Footnote 3

In the survey vignette, we described a development of a crisis involving North Korea, the USA, and US allies in the region.Footnote 4 Our participants were randomly assigned to three treatment groups, where each read one version of a tweet posted by a new US President Smith. In the control group (α 1 ), the President announced that the government received intelligence on an impending North Korean chemical attack (see Figure 2).Footnote 5 In the “ambiguous threat” treatment (α 2 AMB), the President added that “if North Korea was foolish enough to use chemical weapons, our response will be absolutely overwhelming and devastating, and all military options will be on the table!Footnote 6 In the “explicit threat” treatment (α 2 EXP), the President stated that the United States would strike back with “our powerful nuclear arsenal” in the event of a chemical attack.

Figure 2. Treatment α 1 .

Next, we displayed information that 2 days after this announcement, North Korea used chemical weapons against the Japanese island of Okinawa, killing 1,400 Japanese civilians and 650 US troops stationed at the local US base. President Smith ordered the US armed forces to prepare a military response. We then randomly displayed one version of a tweet that described the nature (nuclear β 1 or non-nuclear β 2 ) of this military response (see Figure 3). Next, we asked about the approval or disapproval of the President’s handling of the crisis on a seven-point scale (H 1 –H 3 ) and about the preference for using nuclear weapons in the scenario on a four-point scale (H 4 ). We concluded with a debrief (see Carpenter, Montgomery, and Nylen Reference Carpenter, Montgomery and Nylen2021).

Figure 3. Treatments β 1 and β 2 .

Results

First, we conducted an ordinal logistic regression with the approval of the President’s handling of the crisis as an outcome variable, treatment α as a predictor, and gender, age, income, education, and partisanship as control variables. We kept the nature of the military response constant, i.e., non-nuclear (β 1 ). As we show in Figure 4, there was no statistically significant difference (p = 0.627) between the approval in the control group (α 1 ) and ambiguous threat group (α 2 AMB).Footnote 7 We, therefore, reject hypothesis H1 that leaders suffer domestic disapproval when they make ambiguous nuclear threats and then back down from using nuclear weapons when deterrence fails.

Figure 4. Ordinal logistic regression estimates. N = 476. 95% CI. Variables whose intervals overlap with the vertical line are statistically indistinguishable from 0. Positive coefficients correspond to a higher level of approval. Model 1 shows the effects without the inclusion of control variables and Model 2 with control variables included.

However, Figure 4 also shows that approval was significantly lower (p < 0.001) in the explicit nuclear threat group (α 2 EXP) than in the ambiguous threat group (α 1 AMB). The absolute audience costs for the explicit threat are higher than the audience costs for the ambiguous threat (μ 12 – μ 22 EXP > μ 12 – μ 22 AMB). As such, we gained empirical support for hypothesis H 2a that explicit nuclear threats generate larger audience costs than ambiguous ones, and we reject the competing H 2b that these costs are statistically indistinguishable.

Next, we examined whether the public disapproves more of the leader’s empty threats than of the actual use of nuclear weapons (i.e., if μ 21 > μ 22). Figure 5 shows the results for participants in the ambiguous treatment (α 2 AMB) with approval as an outcome variable, response β as a predictor, and sociodemographic characteristics as control variables. The nuclear response was negatively associated with approval (p < 0.001). As such, we reject H 3a and gain support for H 3b that the public disapproval is higher if the leaders employ nuclear weapons after an ambiguous nuclear threat than if they do not.Footnote 8

Figure 5. Ordinal logistic regression estimates. N = 332. 95% CI. Positive coefficients = higher level of approval. Model 3: effects without control variables, Model 4: effects with control variables.

Next, we investigated whether nuclear threats make our participants more likely to prefer the use of nuclear weapons. We conducted a logistic regression with preference as an outcome variable, treatment α as a predictor, and the response β, α * β interaction, and sociodemographic characteristics as control variables. As we show in Figure 6, there was no statistically significant association between preference for nuclear use and the ambiguous (or explicit) nuclear threat.Footnote 9 Thus, we reject H 4 that the public is more likely to prefer the use of nuclear weapons if their leader issued an ambiguous nuclear threat beforehand.

Figure 6. Ordinal logistic regression estimates. N = 979. 95% CI. Positive coefficients = higher preference for nuclear use. Model 5: effects without control variables, Model 6: effects with control variables.

Since we found that, unlike explicit threats, ambiguous ones did not generate any audience costs, we fielded an additional experiment to see why that might be the case. One possible explanation is that the public is not attentive to the implicit hint at nuclear use in ambiguous messaging (so it does not find the non-nuclear response inconsistent). We, therefore, examined the baseline expectations of the likelihood of different policy responses following α AMB and α EXP (due to space constraints, we discuss the design and full results in Appendix 13). In Figure 7, we show that although our respondents saw nuclear use as slightly more likely in α EXP, the difference was not statistically significant (p = 0.497). This suggests that the (non-)effects found in our original experiment were not caused by the public ignorance of implicit reference to nuclear weapons in leaders’ ambiguous threats.

Figure 7. Mean response likelihood by condition. N = 151. 95% CI. 0 (unlikely) – 100 (likely) scale.

Discussion and conclusions

Our study found no evidence for the “commitment trap” in the context of ambiguous nuclear threats, questioning one of the key assumptions of Sagan’s (Reference Sagan2000) seminal work on US declaratory policy. The fictional leader in our study did not pay domestic audience costs when he backed down from using nuclear weapons. However, when we exposed the participants to the explicit nuclear threat treatment, the approval decreased significantly once the leader reneged on his commitment. We also demonstrated that the US public is attentive to the implicit hints at nuclear use in ambiguous threats. As such, it probably does not see them as binding as explicit onesFootnote 10 and, therefore, is less likely to punish the President for not following through with nuclear use when deterrence fails. These findings give credence to Susan Martin’s response to Sagan that a conventional response following an ambiguous nuclear threat would not impact the US reputation, as “negative reputational effects follow from the failure to carry out the threatened punishment, not from the failure to carry out the threatened punishment by a particular means” (Martin and Sagan Reference Martin and Sagan2001, p. 193).

Beyond addressing the original “commitment trap” argument, our work contributes to the burgeoning audience costs scholarship (Kertzer and Brutger Reference Kertzer and Brutger2016; Levendusky and Horowitz Reference Levendusky and Horowitz2012; Lin-Greenberg Reference Lin-Greenberg2019; Tomz Reference Tomz2007) by investigating pertinent scenarios involving weapons of mass destruction and exploring differences in public perceptions of ambiguous and explicit threats. As argued by Snyder and Borghard (Reference Snyder and Borghard2011), the latter is an important distinction for the audience costs theory, yet has rarely been tested in audience costs experiments. Our finding that the US public preference regarding nuclear use remains constant irrespective of leaders’ threats also adds to the recent wave of “nuclear taboo” experiments (Allison, Herzog, and Ko Reference Allison, Herzog and Ko2022; Bowen, Goldfien, and Graham Reference Bowen, Goldfien and Graham2023; Dill, Sagan, and Valentino Reference Dill, Sagan and Valentino2022; Horschig Reference Horschig2022; Koch and Wells Reference Koch and Wells2021; Press, Sagan, and Valentino Reference Press, Sagan and Valentino2013; Rathbun and Stein Reference Rathbun and Stein2020; Sagan and Valentino Reference Sagan and Valentino2017; Smetana and Vranka Reference Smetana and Vranka2021; Smetana and Onderco Reference Smetana and Onderco2023; Smetana, Vranka, and Rosendorf Reference Smetana, Vranka and Rosendorf2023; Sukin Reference Sukin2020).

Our experiment provides pertinent insights for policy debates over the US declaratory policy (Fetter and Wolfsthal Reference Fetter and Wolfsthal2018; Gerson Reference Gerson2010; Holdren Reference Holdren2020; Panda and Narang Reference Panda and Narang2021; Roberts Reference Roberts2019; Sagan Reference Sagan2009). It appears that making ambiguous nuclear threats is a relatively cost-free strategy for US leaders: when deterrence fails, they can resort to a non-nuclear response without being punished for inconsistency by the domestic constituency. On the other hand, this is precisely what makes ambiguous threats less effective than explicit ones; as Fearon (Reference Fearon1994) demonstrated, having the possibility of reneging on one’s commitment without suffering the loss of political points makes coercive signaling inherently less credible.

Yet, we must stress that while public attitudes represent an important piece of the “commitment trap” puzzle, it is not the whole story. There are other relevant audiences that American leaders consider. Notably, the formulation of US declaratory policy and the corresponding strategic messaging have always been heavily informed by the views of US allies in Europe and Asia (Horovitz et al. Reference Horovitz, Major, Schneider and Wachs2021; Perkovich and Vaddi Reference Perkovich and Vaddi2021; Smetana Reference Smetana2018). Moreover, it is reasonable to assume that US enemies pay close attention to the credibility of US nuclear threats in their strategic calculations. Overall, we need new experimental evidence on how the “commitment trap” logic plays out vis-á-vis different kinds of international audiences.

Finally, we must stay open to the theoretical possibility that even if ambiguous threats do not generate domestic audience costs, US leaders believe that they do and make strategic decisions in accordance with these beliefs. If this argument holds, ambiguous threats could entrap US leaders exactly as Sagan originally proposed, actual public attitudes notwithstanding. Future studies should, therefore, make use of corresponding elite surveys and survey experiments (see, e.g., Dietrich, Hardt, and Swedlund Reference Dietrich, Hardt and Swedlund2021; Kertzer and Renshon Reference Kertzer and Renshon2022; Saunders Reference Saunders2022; Smetana and Onderco Reference Smetana and Onderco2022) to find out more about the leaders’ perceptions of the “commitment trap.”

Supplementary material

To view supplementary material for this article, please visit https://doi.org/10.1017/XPS.2023.8

Data availability statement

Support for this research was provided by the Charles University’s PRIMUS program (Award PRIMUS/22/HUM/005). The data, code, and any additional materials required to replicate all analyses in this article are available at the Journal of Experimental Political Science Dataverse within the Harvard Dataverse Network, at: https://doi.org/10.7910/DVN/Q91W2O.

Acknowledgments

We thank Scott Sagan, Lauren Sukin, JEPS editorial team, and two anonymous reviewers for their valuable feedback. We also gratefully acknowledge funding from the Charles University’s program PRIMUS/22/HUM/005 (Experimental Lab for International Security Studies – ELISS).

Conflicts of interest

The authors declare no conflicts of interest.

Ethics statement

The data collection for this research study adhered to all relevant aspects of APSA’s Principles and Guidance for Human Subjects Research and to the general data collection approach used in the Charles University’s research project “Experimental Lab for International Security Studies (ELISS)” that was approved without reservations by the Commission for Ethics in Research of the Faculty of Social Sciences, Charles University (submission #53).

Footnotes

This article has earned badges for transparent research practices: Open Data and Open Materials. For details see the Data Availability Statement.

1 Kertzer and Brutger (Reference Kertzer and Brutger2016) later demonstrated that audience costs can be further disaggregated into “inconsistency costs” and the “belligerence costs.” Due to space constraints, we only report the “composite” audience costs as Tomz (Reference Tomz2007), Levendusky and Horowitz (Reference Levendusky and Horowitz2012), Lin-Greenberg (Reference Lin-Greenberg2019), and others.

2 The logic is applicable to both ambiguous and explicit nuclear threats, and we investigate them individually in the subsequent analyses.

3 See Appendix 1 for the sociodemographic composition, Appendix 2 for survey items, and Appendix 6 for ethical considerations. In Appendices 11–15, we report the results of our follow-up experiments conducted during the peer-review process.

4 See Appendix 9 for a discussion of the advantages and disadvantages of using North Korea in our scenario.

5 We fielded an additional experiment using an alternative wording of α 1 . The results (see Appendix 11) show that our original approach was more conservative and indeed a tougher test for an argument advanced in this paper.

6 We used the words of the former US Secretary of Defense William Perry, which Sagan (Reference Sagan2000, p. 85) highlights as an example of an ambiguous nuclear threat.

7 See Appendix 3 for detailed analysis. For all hypotheses, we also report observed effects in percentages of selected responses (Appendix 8) and additional analyses after excluding participants who failed a manipulation check (Appendix 10).

8 See Appendix 4 for detailed analysis. For a corresponding analysis in the α 2 EXP (“explicit threat”) group, see Appendix 7.

9 See Appendix 5 for detailed analysis.

10 Our follow-up experiment on the perceived impact on the US credibility further supports this claim (see Appendix 15).

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Figure 0

Figure 1. Decision-making tree for a nuclear crisis bargaining game.

Figure 1

Table 1. Experimental notation for a nuclear crisis bargaining game

Figure 2

Figure 2. Treatment α1.

Figure 3

Figure 3. Treatments β1 and β2.

Figure 4

Figure 4. Ordinal logistic regression estimates. N = 476. 95% CI. Variables whose intervals overlap with the vertical line are statistically indistinguishable from 0. Positive coefficients correspond to a higher level of approval. Model 1 shows the effects without the inclusion of control variables and Model 2 with control variables included.

Figure 5

Figure 5. Ordinal logistic regression estimates. N = 332. 95% CI. Positive coefficients = higher level of approval. Model 3: effects without control variables, Model 4: effects with control variables.

Figure 6

Figure 6. Ordinal logistic regression estimates. N = 979. 95% CI. Positive coefficients = higher preference for nuclear use. Model 5: effects without control variables, Model 6: effects with control variables.

Figure 7

Figure 7. Mean response likelihood by condition. N = 151. 95% CI. 0 (unlikely) – 100 (likely) scale.

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