An agent uncertain about its own discount rate values the far future by the expectation of the discount factor, not the expectation of the rate. Set a two-point prior over ρ and watch the certainty-equivalent rate ρ_eff decline toward the patient scenario as the horizon lengthens.
Under exponential discounting with a discount rate ρ known with certainty, the value of a unit payoff at time t is e^(−ρt). If instead an agent is uncertain over its own ρ, drawn from some prior distribution, the correct valuation is the expectation of the discount factor, E[e^(−ρt)], not the discount factor at the expected rate. Converting that expectation back into an equivalent constant rate gives the certainty-equivalent discount rate
ρ_eff(t) = −(1/t) ln E[e^(−ρt)]
For the two-point prior used here, E[e^(−ρt)] = w₁e^(−ρ₁t) + (1−w₁)e^(−ρ₂t).
At short t, both exponential terms are close to 1 and ρ_eff ≈ E[ρ], the naive weighted mean. At long t, the term with the larger ρ decays to zero far faster than the term with the smaller ρ, so the expectation is dominated entirely by the patient scenario, and ρ_eff falls toward min(ρ₁,ρ₂) regardless of how little prior weight it carried. An agent uncertain whether its own discount rate is 10⁻³ or 10⁻⁶ per year has ρ_eff of order 10⁻⁶ by the time t reaches the ω Cen transit time (~10⁵ yr), far below the migration threshold derived in the Patience Threshold Calculator.
The crossover condition of Paper D requires ρ+λ below a threshold of order a few×10⁻⁴ yr⁻¹. A lineage need not be confident it discounts the far future at that rate; it only needs to be uncertain whether it might. Migration therefore requires uncertainty about patience, not patience itself, which is a substantially weaker and more plausible condition to hold of an arbitrary long-lived technological lineage.
The two-point prior is a minimal illustration, not a claim about the true distribution of ρ across agents; a continuous prior produces the same qualitative decline by the same mechanism (Weitzman 1998, 2001). Hyperbolic discounting (Laibson 1997) is a related but distinct phenomenon, time-inconsistent rather than time-declining under certainty, and is not modeled here.