A high bias to follow advice may be bounded by task uncertainty: learning demands were high in this design, and a weaker bias might emerge under lower demands¶

Claim · All claims
Evidence · 1 study · causal r2 · q1
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person
Design limits · Maayan Pereg 2024: the intervention came bundled with another change (read from the study by two models, 2026-10-26)

Subclaims¶

q1 i? The authors suggest the strong advice bias may partly reflect the high learning demands (drifting card values) of the task, and a perhaps weaker bias might be found with lower demands. → Maayan Pereg 2024

Evidence¶

Maayan Pereg 2024¶

Maayan Pereg, Uri Hertz, Ido Ben-Artzi and Nitzan Shahar. (2024). Disentangling the contribution of individual and social learning processes in human advice-taking behavior. npj Science of Learning 9:4. https://doi.org/10.1038/s41539-024-00214-0

q1 · i? · causal · r2

Theoretical argument in the Discussion: the task used a probabilistic reinforcement learning design in which the uncertainty level was high due to shifting card values, so the authors offer no empirical test of this boundary condition — it is a stated possibility, not a tested result.

"Hence, it is possible that a different (perhaps weaker) bias towards following advice would have been found with a different design in which the learning demands were lower"

Discussion¶

Related Claims¶

• Estimated parameters indicate simultaneous reliance on individual learning (ω ≈ 0.70) and a fixed non-informed bias to follow advice (φ ≈ 0.2) — related