Yes, but when a "pro" takes too long to deliver something, then that thing is considered hard, because even the "pro" cannot make it quickly.
Re. scaling -- probably, agree, just I never seen myself (working in distributed systems). On my personal experience it was always more-less clear, depending on what software/database/data types we intended to use. So before implementing an MVP, I could roughly answer what price/scalability it would have. But I can see it might have, especially in fields of statistics/ML/new algorithms. E.g. "try using SIMD for this new sorting algorithm" -- only tests could show if it's any better.
But in that areas, usually managers shouldn't judge by outcome anyway, but rather by how fast they make and test hypotheses.
Re. scaling -- probably, agree, just I never seen myself (working in distributed systems). On my personal experience it was always more-less clear, depending on what software/database/data types we intended to use. So before implementing an MVP, I could roughly answer what price/scalability it would have. But I can see it might have, especially in fields of statistics/ML/new algorithms. E.g. "try using SIMD for this new sorting algorithm" -- only tests could show if it's any better.
But in that areas, usually managers shouldn't judge by outcome anyway, but rather by how fast they make and test hypotheses.