A very good ENGINEERING explanation of why analog can not be as good as digital..


https://www.youtube.com/watch?v=lzRvSWPZQYk

There will still be some flat earthers who refuse to believe it....
Those should watch the video a second or third time :-)
cakyol
On a more practical level, vinylistas don’t seem to care that most current lp issuues Of Classic albums use digital masters, due to the sticky tape phenomenon.  Vinyl bigots like Fremer and Dudley were embarrassingly silent on this after touting many of these releases only to have the remastering engineers spill the beans.  So if they prefer lps made from corrupt digital discontnous sampled waveforms, that preference must be based upon something completely unrelated to that waveform 
kijanki
This theorem only states that you can recover continuous signal by sampling at least two times per period. It does not say you can do that when waveform constantly changes
Actually, that’s exactly what the Fourier Transform addresses and proves - the transient need only to fall within the bandwidth of the system. It’s why digital audio works.

Again, I’m very much an analog guy. But to claim the digital audio isn’t continuous like analog is misunderstanding how digital audio works. It has problems, but non-existent stairsteps aren’t part of them.
..the transient need only to fall within the bandwidth of the system. It’s why digital audio works.

For any signal to be perfectly band limited it would have to extend infinitely in time.  There are many other shortcomings like less than perfect brickwall filters with uneven group delays, jitter in A/D or D/A conversion etc. 
kijank
For any signal to be perfectly band limited it would have to extend infinitely in time.
I’m not sure what this means, but nothing is perfect.
There are many other shortcomings like less than perfect brickwall filters with uneven group delays, jitter in A/D or D/A conversion
Agreed, of course. Digital audio is not perfect. However, the notion that it is not continuous, and is comprised of "stair-step" signals, is a misnomer. It is a false claim and that can be proven visually, as in the video that I linked, as well as mathematically.
I'm not sure what this means, but nothing is perfect.
That's all I'm saying.