Conditional decision markets are structurally biased toward selection correlations rather than causal policy effects, making futarchy approval signals evidential rather than causal
Rasmont argues that futarchy contains a structural impossibility: conditional decision markets cannot estimate causal policy effects once their outputs are acted upon. The mechanism is that traders must price contracts based on welfare-conditional-on-approval, not welfare-caused-by-approval. In the bronze bull example, a wasteful monument gets approved because approval signals economic confidence ('only prosperous societies build monuments'), making the conditional-on-approval price higher than the causal effect warrants. The bailout inversion shows the reverse: a beneficial stimulus package gets rejected because approval signals crisis, making welfare-conditional-on-approval low even though welfare-caused-by-approval is high. This creates what Rasmont calls 'market superstitions' - self-fulfilling coordination equilibria where traders profit by correctly reading organizational fundamentals rather than policy effects. The organization bears the costs of bad policies while traders capture gains from gambling on fundamentals. Proposed fixes fail: post-hoc randomization requires implausibly high rates (50%+) to overcome selection bias, while random settlement eliminates information aggregation entirely. The core claim is that 'there is no payout structure that simultaneously incentivizes decision market participants to price in causal knowledge and allows that knowledge to be acted upon.' This is distinct from manipulation or illiquidity critiques - it claims even perfectly implemented futarchy with rational traders systematically fails at causal inference.
Challenging Evidence
Source: Robin Hanson, Overcoming Bias 2026-04-24
Hanson proposes four fixes (randomized rejection, insider trading access, timing announcements, sequential markets) that he argues can address decision selection bias through information-timing corrections. This challenges Rasmont's claim that the bias is structurally intrinsic by proposing operational mechanisms that could mitigate it. However, Hanson does not directly engage the payout-structure critique—his fixes address information asymmetry, not the fundamental question of whether conditional payouts reward correlation vs causation.
Challenging Evidence
Source: Hanson, Overcoming Bias 2026-04-25
Hanson argues the bias is 'avoidable with proper mechanism design' and proposes four fixes (randomization, insider trading permission, timing announcements, sequential decisions) that he claims address the selection bias problem. However, his fixes target timing/information issues rather than the structural payout mechanism that Rasmont identifies.