It's not really relevant there, that's just scaling the error factor. The potential downside to using degrees is that the values in the 0-1 range are going to have slightly more accuracy than those in the 358-359 range. The difference will be very minor if these aren't used in compounding calculations.
It's more of an issue when you're dealing with large sums composed of very tiny ones. If you add them together incorrectly the number becomes so large the tiny values stop mattering even if in aggregate they're important.
Like adding 1e-6 to itself a hundred million times gives you a result different than 1e-6 * 1e8. In the first case I get 999.999998191639 when the multiplied version is 1000.
These errors can accumulate to a dangerous degree if you don't do your operations in the right order.
It's more of an issue when you're dealing with large sums composed of very tiny ones. If you add them together incorrectly the number becomes so large the tiny values stop mattering even if in aggregate they're important.
Like adding 1e-6 to itself a hundred million times gives you a result different than 1e-6 * 1e8. In the first case I get 999.999998191639 when the multiplied version is 1000.
These errors can accumulate to a dangerous degree if you don't do your operations in the right order.