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Multi-decadal analysis of major global risk assessments reveals consistent biases and low predictive capacity

Multi-decadal analysis of major global risk assessments reveals consistent biases and low predictive capacity

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Authors

Louis Delannoy, Mélis Busson, Peter Søgaard Jørgensen

Abstract

The World Economic Forum (WEF) Global Risk Reports (GRRs) are published annually with the aim to uncover the most pressing challenges facing the world. However, the GRR have been criticized for presenting an overly simplistic and potentially biased portrayal of interconnected global risks and crises. Despite their influence, no in-depth, interannual analysis of the GRRs has been conducted to date. To address this gap, we analyze GRRs from 2006 to 2024 using textual analysis, systematic screening, and back- and forecasting methodologies. Our findings reveal a linguistic shift toward a technical, expert-driven narrative that frames global risks as regulatory challenges rather than opportunities for systemic transformation. Comparing text versus survey responses, the text of GRRs overemphasize economic considerations, marginalize environmental and social dimensions, and underrepresent ecological impacts. A comparison of GRR risk likelihoods with historical shocks shows consistent misalignment across most risk categories. By perpetuating an anthropocentric, business-centered, and fragmented representation of global risks, non-critical interpreations of the GRR can themselvself amplify risks to global sustainability and equity at a time of multiple interacting criss. We propose practical recommendations for use of the GRR and how they can be recalibrated to better represent multiple interacting global risks.

DOI

https://doi.org/10.31223/X59X41

Subjects

Life Sciences, Social and Behavioral Sciences

Keywords

World Economic Forum, , global risk, climate change, policy, governance, global risk, climate change, policy, governance

Dates

Published: 2025-03-19 16:17

Last Updated: 2025-03-19 16:17

License

CC-By Attribution-NonCommercial-NoDerivatives 4.0 International

Additional Metadata

Conflict of interest statement:
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Data Availability (Reason not available):
Data and code for the analysis, as well as figures, can be accessed from the following repository: https://github.com/LouisD-KVA/WEF-GRR-analysis