Unity Profiler timing skew during high-frequency loop analysis

When utilizing the Unity Profiler to diagnose performance bottlenecks, there is a known trade-off between data granularity and timing accuracy. While the Profiler provides essential real-time visualization of CPU and Memory usage, the act of measuring high-frequency function calls can introduce measurement overhead.

This becomes particularly relevant when using Deep Profiling or analyzing tight loops where the overhead of the profiling hooks may skew the reported execution time, potentially masking the actual performance characteristics of a production build.

What is the expected margin of error for timing data when profiling high-frequency loops in a Development Build? How can a developer differentiate between actual CPU spikes and overhead introduced by the Profiler itself?