Motivated causal judgments and responsibility for civilian casualties in military conflicts

Abstract Causal judgments are ubiquitous in politics and crucial for assigning responsibility and blame. Cognitive science has demonstrated that people are more likely to pick factors as “causal” when they make a difference for the outcome across a range of counterfactual scenarios, with the scenarios sampled based on statistical and prescriptive normality. We propose that this makes causal judgments susceptible to motivated reasoning and ingroup favoritism in particular. We hypothesize that people will be less likely to assign causal efficacy and responsibility for counternormative outcomes to groups they support, and that the bias will be greater for more complex causal structures. We test these propositions in two pre‐registered survey experiments run on representative samples in Poland. The context of the experimental vignettes is a military conflict between Russia and Ukraine. We find that, in all scenarios, respondents assign significantly higher causal power and responsibility to the attackers when the attackers are Russian rather than Ukrainian, consistent with our theory and the very high levels of public support for Ukraine in Poland. Contrary to our expectations, the responsibility of the attackers is not significantly lower when they hit a public building as a result of defending combatants moving there rather than when unprovoked.

Authors

Institutions

Publication Details

Journal
Political Psychology
Published
2026-02-13
DOI
https://doi.org/10.1111/pops.70122
Primary Topic
Social and Intergroup Psychology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Motivated causal judgments and responsibility for civilian casualties in military conflicts

Honorata Mazepus, Dimiter Toshkov
Political Psychology
Social and Intergroup Psychology
article

Motivated causal judgments and responsibility for civilian casualties in military conflicts

Honorata Mazepus, Dimiter Toshkov
article en

Abstract

Abstract Causal judgments are ubiquitous in politics and crucial for assigning responsibility and blame. Cognitive science has demonstrated that people are more likely to pick factors as “causal” when they make a difference for the outcome across a range of counterfactual scenarios, with the scenarios sampled based on statistical and prescriptive normality. We propose that this makes causal judgments susceptible to motivated reasoning and ingroup favoritism in particular. We hypothesize that people will be less likely to assign causal efficacy and responsibility for counternormative outcomes to groups they support, and that the bias will be greater for more complex causal structures. We test these propositions in two pre‐registered survey experiments run on representative samples in Poland. The context of the experimental vignettes is a military conflict between Russia and Ukraine. We find that, in all scenarios, respondents assign significantly higher causal power and responsibility to the attackers when the attackers are Russian rather than Ukrainian, consistent with our theory and the very high levels of public support for Ukraine in Poland. Contrary to our expectations, the responsibility of the attackers is not significantly lower when they hit a public building as a result of defending combatants moving there rather than when unprovoked.

Political PsychologyVol. 47(2)
Leiden University (NL), Amsterdam University of Applied Sciences (NL), University of Amsterdam (NL)
Peace, Justice and strong institutions
Openalex Percentile: Top 61%
Social and Intergroup Psychology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Motivated causal judgments and responsibility for civilian casualties in military conflicts — Honorata Mazepus, Dimiter Toshkov · Political Psychology (2026) | TGRS Research Map | TGRS