while True: learn()

Both lean on execution about the same (0 vs 0). Otherwise the profiles match closely.

Both lean on execution about the same (0 vs 0). Biggest difference: variance (2 vs 1) - Minor disaster events if enabled.

Both lean on execution about the same (0 vs 0). Biggest difference: variance (2 vs 3) - Scenario events and weather pulses add tension.

Both lean on execution about the same (0 vs 0). Biggest difference: optimization (9 vs 10) - Pure puzzle - perfect-information chess each turn

Both lean on reads about the same (0 vs 0). Biggest difference: execution (0 vs 1) - Mouse-driven building with no time pressure

Both lean on reads about the same (0 vs 0). Biggest difference: execution (0 vs 1) - Point-and-click placement; zero reflex requirement

Both lean on reads about the same (0 vs 0). Biggest difference: execution (0 vs 1) - no mechanical layer

Both lean on reads about the same (0 vs 0). Biggest difference: execution (0 vs 1) - Menu and drag management, no dexterity test

Both lean on execution about the same (0 vs 0). Biggest difference: variance (2 vs 3) - Spread events and cure pace fluctuate

Both lean on execution about the same (0 vs 0). Biggest difference: variance (2 vs 1) - Animal needs are deterministic once learned

Both lean on reads about the same (0 vs 0). Biggest difference: execution (0 vs 1) - Light action farming inputs

Both lean on reads about the same (0 vs 0). Biggest difference: execution (0 vs 1) - Click-and-walk inputs, no dexterity ceiling