It has been suggested that dynamic systems biology models are universally sloppy.

We analyse the relationship between sloppiness and identifiability.

Sloppiness is not equivalent to lack of identifiability (structural or practical).

Parameter estimability should be determined with identifiability analyses.

For optimal experiment design, identifiability criteria are better than sloppiness.