The relationship between cultural tightness–looseness and COVID-19 cases and deaths: a global analysis
Open accessAbstract
BACKGROUND: The COVID-19 pandemic is a global health crisis, yet certain countries have had far more success in limiting COVID-19 cases and deaths. We suggest that collective threats require a tremendous amount of coordination, and that strict adherence to social norms is a key mechanism that enables groups to do so. Here we examine how the strength of social norms-or cultural tightness-looseness-was associated with countries' success in limiting cases and deaths by October, 2020. We expected that tight cultures, which have strict norms and punishments for deviance, would have fewer cases and deaths per million as compared with loose cultures, which have weaker norms and are more permissive. METHODS: We estimated the relationship between cultural tightness-looseness and COVID-19 case and mortality rates as of Oct 16, 2020, using ordinary least squares regression. We fit a series of stepwise models to capture whether cultural tightness-looseness explained variation in case and death rates controlling for under-reporting, demographics, geopolitical factors, other cultural dimensions, and climate. FINDINGS: The results indicated that, compared with nations with high levels of cultural tightness, nations with high levels of cultural looseness are estimated to have had 4·99 times the number of cases (7132 per million vs 1428 per million, respectively) and 8·71 times the number of deaths (183 per million vs 21 per million, respectively), taking into account a number of controls. A formal evolutionary game theoretic model suggested that tight groups cooperate much faster under threat and have higher survival rates than loose groups. The results suggest that tightening social norms might confer an evolutionary advantage in times of collective threat. INTERPRETATION: Nations that are tight and abide by strict norms have had more success than those that are looser as of the October, 2020. New interventions are needed to help countries tighten social norms as they continue to battle COVID-19 and other collective threats. FUNDING: Office of Naval Research, US Navy.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Cultural psychologists distinguish tight cultures with strong adherence to norms and loose cultures with lax adherence.
“Cultural psychologists, for example, have distinguished between so-called tight and loose cultures, with tight cultures characterised by strong public adherence to social norms and loose cultures by lax adherence.”
From The Lancet Commission on lessons for the future from the COVID-19 pandemic (2022) · cites this paper as [256]
Differences in national cultures shape national responses to the pandemic.
“Differences in national cultures also shape national responses.”
From The Lancet Commission on lessons for the future from the COVID-19 pandemic (2022) · cites this paper as [256]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Culture's Consequences: International Differences in Work-Related Values.
Sorge, A. M., & Hofstede, G. (1983) · Administrative Science Quarterly · doi:10.2307/2393017 · Cited by 15,186 · see citing works
Using social and behavioural science to support COVID-19 pandemic response
Bavel, J. J. V., Baicker, K., Boggio, P. S., Capraro, V., Cichocka, A., Cikara, M., Crockett, M. J., Crum, A. J., Douglas, K. M., Druckman, J. N., et al. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0884-z · Cited by 4,964 · see citing works
Self-citation(2004) · Choice Reviews Online · doi:10.5860/choice.41-3182 · Cited by 4,740 · see citing works
Case-fatality rate and characteristics of patients dying in relation to COVID-19 in Italy
Onder, G., Rezza, G., & Brusaferro, S. (2020) · JAMA · doi:10.1001/jama.2020.4683 · Cited by 4,171 · see citing works
Culture's Consequences: International Differences in Work-Related Values.
Schooler, C., & Hofstede, G. (1983) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2066725 · Cited by 3,765 · see citing works
Differences Between Tight and Loose Cultures: A 33-Nation Study
Gelfand, M. J., Raver, J. L., Nishii, L., Leslie, L. M., Lun, J., Lim, B. C., Duan, L., Almaliach, A., Ang, S., Arnadottir, J., et al. (2011) · Science · doi:10.1126/science.1197754 · Cited by 3,252 · see citing works
Self-citationA Room with a Viewpoint: Using Social Norms to Motivate Environmental Conservation in Hotels
Goldstein, N. J., Cialdini, R. B., & Griskevicius, V. (2008) · Journal of Consumer Research · doi:10.1086/586910 · Cited by 3,235 · see citing works
(1998) · Cited by 2,641 · see citing works
Allcott, H., & Rogers, T. (2014) · American Economic Review · doi:10.1257/aer.104.10.3003 · Cited by 1,340 · see citing works
Pluralistic ignorance and alcohol use on campus: Some consequences of misperceiving the social norm.
Prentice, D. A., & Miller, D. T. (1993) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.64.2.243 · Cited by 1,314 · see citing works
Pluralistic ignorance and alcohol use on campus: Some consequences of misperceiving the social norm.
Prentice, D. A., & Miller, D. T. (1993) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.64.2.243 · Cited by 1,075 · see citing works
Social Norms and Pro-environmental Behavior: A Review of the Evidence
Farrow, K., Grolleau, G., & Ibanez, L. (2017) · Ecological Economics · doi:10.1016/j.ecolecon.2017.04.017 · Cited by 970 · see citing works
Reducing intergroup prejudice and conflict using the media: A field experiment in Rwanda.
Paluck, E. L. (2009) · Journal of Personality and Social Psychology · doi:10.1037/a0011989 · Cited by 902 · see citing works
The behavioralist as tax collector: Using natural field experiments to enhance tax compliance
Hallsworth, M., List, J. A., Metcalfe, R. D., & Vlaev, I. (2017) · Journal of Public Economics · doi:10.1016/j.jpubeco.2017.02.003 · Cited by 764 · see citing works
Tightness–looseness across the 50 united states
Harrington, J. R., & Gelfand, M. J. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1317937111 · Cited by 708 · see citing works
Self-citationChanging climates of conflict: A social network experiment in 56 schools
Paluck, E. L., Shepherd, H., & Aronow, P. M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1514483113 · Cited by 610 · see citing works
Flaxman, S., Mishra, S., Gandy, A., Unwin, H., Coupland, H., Mellan, T., Zhu, H., Berah, T., Eaton, J., Guzman, P. P., et al. (2020) · Spiral (Imperial College London) · doi:10.25561/77731 · Cited by 522 · see citing works
Effectiveness of social norms media marketing in reducing drinking and driving: A statewide campaign
Perkins, H. W., Linkenbach, J., Lewis, M. A., & Neighbors, C. (2010) · Addictive Behaviors · doi:10.1016/j.addbeh.2010.05.004 · Cited by 258 · see citing works
Societal threat and cultural variation in the strength of social norms: An evolutionary basis
Roos, P., Gelfand, M., Nau, D., & Lun, J. (2015) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2015.01.003 · Cited by 232 · see citing works
Self-citationPerceptions of the appropriate response to norm violation in 57 societies
Eriksson, K., Strimling, P., Gelfand, M. J., Wu, J., Abernathy, J., Akotia, C. S., Aldashev, A., Andersson, P., Andrighetto, G., Anum, A., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21602-9 · Cited by 226 · see citing works
Self-citationMatias, J. N. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1813486116 · Cited by 208 · see citing works
Climate Change: What Psychology Can Offer in Terms of Insights and Solutions
Van Lange, P. A. M., Joireman, J., & Milinski, M. (2018) · Current Directions in Psychological Science · doi:10.1177/0963721417753945 · Cited by 166 · see citing works
Berg, M. K., Yu, Q., Salvador, C. E., et al. (2020) · Science Advances · doi:10.1126/sciadv.abc1463 · Cited by 160 · see citing works
A global analysis of cultural tightness in non-industrial societies
Jackson, J. C., Gelfand, M. J., & Ember, C. R. (2020) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2020.1036 · Cited by 117 · see citing works
Self-citationRogers, T., Goldstein, N. J., & Fox, C. R. (2017) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033718 · Cited by 113 · see citing works
Bruneau, E., Kteily, N., & Falk, E. B. (2017) · Personality and Social Psychology Bulletin · doi:10.1177/0146167217744197 · Cited by 58 · see citing works
A Global Analysis of Cultural Tightness in Non-Industrial Societies.Preprint
Jackson, J. C., Ember, C. R., & Gelfand, M. J. (2019) · doi:10.31234/osf.io/9s57z · Cited by 29 · see citing works
Self-citation(2020) · Nature Biomedical Engineering · doi:10.1038/s41551-020-0553-6 · Cited by 13 · see citing works
Li, R. (2019) · University Libraries (University of Maryland) · doi:10.13016/atdt-3i8z · Cited by 1 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The Lancet Commission on lessons for the future from the COVID-19 pandemic
Sachs, J. D., Karim, S. S. A., Aknin, L., Allen, J., Brosbøl, K., Colombo, F., Barron, G. C., Espinosa, M. F., Gaspar, V., Gaviria, A., et al. (2022) · The Lancet · doi:10.1016/s0140-6736(22)01585-9 · Cited by 842 · see citing works
- Authors
- Gelfand, M. J., Jackson, J. C., Pan, X., Nau, D., Pieper, D., Denison, E., Dagher, M., Van Lange, P. A. M., Chiu, C.-Y., & Wang, M.
- Affiliations
- University of Maryland, College Park (US)
- University of North Carolina at Chapel Hill (US)
- Chinese University of Hong Kong (HK)
- University of Florida (US)
- Corresponding author
- Gelfand, Michele J
- Wang, Mo
- ORCID
- Venue
- The Lancet Planetary Health
- Publisher
- Elsevier BV
- Published
- 2021-03
- Volume
- 5
- Issue
- 3
- Pages
- e135-e144
- ISSN
- 2542-5196 (ISSN-L)
- PMC
- PMC7946418
- OpenAlex
- W3127063713
- Cited by
- 526
- References
- 29
- Citations by year
- 2026: 29 · 2025: 77 · 2024: 83 · 2023: 102 · 2022: 127 · 2021: 102 · 2020: 5 · 2017: 1
- FWCI
- 101.42
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- The Lancet Planetary Health (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion, other-oa)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion, cc-by-nc-nd)
- OSF Preprints (OSF Preprints) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by-nc-nd)
- UNC Libraries
- Funders
- Office of Naval Research (N000141912407)
- Topics
- Social Sciences › Psychology › Social Psychology › Cultural Differences and Values
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Social Sciences › Sociology and Political Science › COVID-19 Prevention and Impact
- Keywords
- cultural tightness-looseness, COVID-19 pandemic, COVID-19 mortality, social norms, group threat, cooperation, evolutionary game theory, cross-national comparison, pandemic response, cultural dimensions
- MeSH terms
- COVID-19, Humans, Social Norms
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review