{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T01:02:59Z","timestamp":1782781379545,"version":"3.54.5"},"reference-count":43,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,5,27]],"date-time":"2024-05-27T00:00:00Z","timestamp":1716768000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Psychol."],"abstract":"<jats:p>Understanding and acting upon risk is notably challenging, and navigating complexity with understandings developed for stable environments may inadvertently build a false sense of safety. Neglecting the potential for non-linear change or \u201cblack swan\u201d events \u2013 highly impactful but uncommon occurrences \u2013 may lead to naive optimisation under assumed stability, exposing systems to extreme risks. For instance, loss aversion is seen as a cognitive bias in stable environments, but it can be an evolutionarily advantageous heuristic when complete destruction is possible. This paper advocates for better accounting of non-linear change in decision-making by leveraging insights from complex systems and psychological sciences, which help to identify blindspots in conventional decision-making and to develop risk mitigation plans that are interpreted contextually. In particular, we propose a framework using attractor landscapes to visualize and interpret complex system dynamics. In this context, attractors are states toward which systems naturally evolve, while tipping points \u2013 critical thresholds between attractors \u2013 can lead to profound, unexpected changes impacting a system\u2019s resilience and well-being. We present four generic attractor landscape types that provide a novel lens for viewing risks and opportunities, and serve as decision-making contexts. The main practical contribution is clarifying when to emphasize particular strategies \u2013 optimisation, risk mitigation, exploration, or stabilization \u2013 within this framework. Context-appropriate decision making should enhance system resilience and mitigate extreme risks.<\/jats:p>","DOI":"10.3389\/fpsyg.2024.1346542","type":"journal-article","created":{"date-parts":[[2024,5,27]],"date-time":"2024-05-27T15:34:09Z","timestamp":1716824049000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["From a false sense of safety to resilience under uncertainty"],"prefix":"10.3389","volume":"15","author":[{"given":"Matti T. 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