Probability Lab

P(rain) = (members with rain + ½) / (members + 1)

σ = √(σ_poll² + drift² · days/30) P(A wins) = Φ( (A − B) / σ )

posterior odds = prior odds × LR, odds = p / (1 − p)

p* = σ( a · Σ wᵢ·logit(pᵢ) / Σ wᵢ ), logit(p) = ln(p / (1−p))

p ~ Beta(k+1, n−k+1) P(tomorrow) = (k+1)/(n+2) P(≥1 in m days) = 1 − B(k+1, n−k+1+m) / B(k+1, n−k+1)

λ ~ Gamma(c+½, t) P(≥1 in w) = 1 − (t/(t+w))^(c+½)

P(E | sign) = P(sign|E)·P(E) / [P(sign|E)·P(E) + P(sign|¬E)·P(¬E)]

P(all) = Π pᵢ P(at least one) = 1 − Π (1 − pᵢ)

Brier = mean (p − outcome)² (0 = perfect, 0.25 = always 50%) Log score = mean −ln P(what happened) (0.693 = always 50%)