Dyson Sphere Program

Both lean on reads about the same (0 vs 0). Biggest difference: execution (1 vs 0) - No reflex demands at all.

Both lean on reads about the same (0 vs 0). Biggest difference: execution (1 vs 2) - Some APM in early hand-crafting; otherwise irrelevant.

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

Both lean on execution about the same (1 vs 1). Biggest difference: variance (2 vs 1) - Guest spawns and breakdowns barely matter

Both lean on execution about the same (1 vs 1). Biggest difference: variance (2 vs 3) - Neighbor city interactions and demand curves add unpredictability

Both lean on execution about the same (1 vs 1). Biggest difference: variance (2 vs 1) - Resource nodes are fixed once mapped.

Both lean on execution about the same (1 vs 1). Biggest difference: variance (2 vs 3) - weather, disease events

Both lean on execution about the same (1 vs 1). Biggest difference: variance (2 vs 1) - Wave order is deterministic; tiny targeting randomness

Both lean on execution about the same (1 vs 1). Biggest difference: reads (0 vs 1) - AI scripted, not adaptive

Both lean on reads about the same (0 vs 0). Biggest difference: execution (1 vs 0) - Clicking is optional past the early game

Both lean on execution about the same (1 vs 1). Biggest difference: optimization (10 vs 9) - Housing blocks and walker logistics are solvable systems

Both lean on execution about the same (1 vs 1). Biggest difference: optimization (10 vs 9) - Sphere Grid routing and break damage limits make the game theoretically solvable