Ok, so further down in the comments there is this: > Superficially there is some sense - the higher frequency signals are rendered less and less accurately, and nearer a binary on-off. Who knows what nuance and harmonics may be lost affecting what's heard at lower frequencies. It's true that at a given sampling rate, if you choose a sine wave with a frequency right below Nyquist it is composed of fewer samples per pe…
No idea of the technicals, other than sampling at double the audible frequency does- to this layman - seem logical it would give you a wave more diverged from reality as frequency increases - and at the absurd extreme a 22khz (inaudible to most) square wave if sampling at 44, 4 points to represent 11k etc. I don't see how it can be otherwise, just as interpolating and anti aliasing is often right but cannot always co…
This is not correct. If the input signal is entirely below nyquist, the sampled values (ignoring quantisation of the levels, which is a different thing) exactly capture the signal, should you appropriately reconstruct it. Now, a perfect reconstruction (or antialias) filter does not exist, which is one of the reasons why we use 44kHz or 48kHz instead of the 'ideal' 40kHz, but this recreation is extremely accurate, to the point that modern digital approaches will outright outperform analogue techniques.
The same is true for images, incidentally, but most media does not exceed the limits of human vision yet (nor do most display mediums make for very good reconstruction filters).
I highly recommend watching the video, it demonstrates this very well.