At the same time, precision is dictated by machining tolerances for the instruments in the calculation chain, as well as any mechanical forces in play at the time. Even the temperature of parts can change the dimensions of parts which can introduce error. And then there's the accumulation of error across a deep enough mechanical "pipeline".
What really gets me is how there is this tradeoff between analog and digital computers. Digital systems don't have precision errors from miss-shaped parts, but instead opt for errors in quantization (digitization) instead.
edit: I should point out that some calculations that are trivial on analog computers and difficult on digital and so analog may have less lag on some specific calculations. However in general it is safe to say digital is faster overall even though in the real world you will find many examples where analog is faster.
How electricity flows through analog circuits and chooses the right path is another fascinating subject. Seeing how it actually works "in action" seems to glimpse some insights into ultra-fast computing paradigms: not just computing with analog circuits, but also structuring computation like circuits.