Systemic uncertainty amplifies reward-chasing bias: How structural volatility exploits cognitive shortcuts across global markets and ecosystems
Original framing: “When uncertainty spikes, chasing rewards backfires and a more informed strategy pulls ahead” — Phys.org
Historically, financial systems have been designed to profit from uncertainty, from the Dutch East India Company's speculative bubbles to the 2008 subprime crisis, where risk was offloaded onto marginalized communities. The 1970s oil shocks demonstrated how geopolitical instability could be weaponized to justify deregulation and austerity, reinforcing reward-chasing behaviors among elites while impoverishing others. The current framing echoes these patterns, treating uncertainty as a natural phenomenon rather than a manufactured outcome of extractive capitalism and colonial financial architectures.
The original headline frames uncertainty as a cognitive challenge solvable through 'informed strategies,' but this obscures how systemic volatility is manufactured by financial elites, colonial legacies, and extractive industries to extract value while shifting risks onto marginalized communities.
Behavioral science’s focus on individual bias ignores the historical precedents—from the Dutch tulip mania to the 2008 crash—where reward-chasing was not a flaw but a feature of systems designed to profit from chaos. Cross-cultural perspectives, from Māori *kaitiakitanga* to West African *Ubuntu*, reveal alternative frameworks that treat uncertainty as a relational state to be endured collectively, not a variable to be optimized. The solution pathways must therefore invert the frame: instead of teaching individuals to adapt to manufactured volatility, we must redesign systems to absorb shocks, redistribute risk, and center marginalized voices in governance. This requires not just behavioral tweaks but structural transformations—democratic algorithmic oversight, Indigenous stewardship, and public data commons—that treat uncertainty as a shared condition to be transformed, not a problem to be solved.