Who exactly understands how SRE teams effectively calculate error budgets to balance the risk of innovation with the necessity of system stability? Furthermore, this calculation relies on defining clear Service Level Objectives that represent the total amount of "acceptable" unreliability within a specific window. Why does this mathematical buffer serve as the ultimate arbiter for deciding when to freeze feature releases?